- Review
- Open access
- Published:
Addressing schoolteacher food and nutrition-related health and wellbeing: a scoping review of the food and nutrition constructs used across current research
International Journal of Behavioral Nutrition and Physical Activity volume 20, Article number: 108 (2023)
Abstract
Background
Teachers form a large and essential workforce globally. Their wellbeing impacts personal health-related outcomes with flow on effects for the health, and wellbeing of their students. However, food and nutrition (FN) interventions that include teachers, typically neglect the impact of personal FN factors on a teachers’ ability to achieve optimal nutrition-related health and wellbeing, and successfully fulfil their professional FN roles as health promoters, gate keepers, educators’, and role models. The aim of this review was to scope FN constructs that have been studied internationally regarding teacher FN-related health and wellbeing.
Methods
Six databases were searched, and papers extracted in June/July 2021. Eligibility criteria guided by the population, concept, context mnemonic included studies published after 2000, in English language, with an aspect of personal FN-related health and wellbeing, among in-service (practising) and pre-service (training), primary, and secondary teachers. Screening studies for inclusion was completed by two independent researchers with data extraction piloted with the same reviewers and completed by lead author, along with complete descriptive and thematic analysis.
Results
Ten thousand six hundred seventy-seven unique articles were identified with 368 eligible for full text review and 105 included in final extraction and analysis. Sixty-nine descriptive studies were included, followed by 35 intervention studies, with the main data collection method used to assess both personal and professional FN constructs being questionnaires (n = 99 papers), with nutrition knowledge and dietary assessment among the most commonly assessed.
Conclusion
FN constructs are used within interventions and studies that include teachers, with diversity in constructs included and how these terms are defined. The evidence from this scoping review can be used to inform data collection and evaluation in future epidemiological and interventional research that addresses teacher FN-related health and wellbeing.
Background
Teachers’ health and wellbeing, including food and nutrition (FN) practices are influenced by professional workload and school environment [1], while they in turn have an influence on the students within their care as role models [2], health promoters [3, 4], gate keepers [5], and FN educators [6]. While high rates of teacher work-related stress and burnout have been identified as contributors to teacher turnover, highlighting the impact of teacher wellbeing on performance of work-related tasks, the influence of FN practices on teacher wellbeing has not been explored [1, 7,8,9].
Indicators and predictors of food choices and eating behaviours are unique to everyone and acknowledged as complex in the Determinates of Nutrition and Eating (DONE) Framework, which identifies 51 determinate groups across four key domains of individual, interpersonal, environmental and policy [10, 11]. FN constructs known to be indicators of healthy dietary patterns such as positive food agency, cooking skills and food skills [12, 13] are increasingly used along with forms of food literacy measures [14], in mental health and wellbeing interventions, targeting an individuals’ wellbeing and dietary outcomes [15, 16]. Despite this, few studies with teacher participants include an examination of FN constructs beyond measuring dietary assessment and/or nutrition knowledge which provides limited information on the overall influence of FN to the related health and wellbeing of teachers.
Poor diet quality, specifically low intake of vegetables, fruit and wholegrains are well established as risk factors of chronic disease and contributors to global burden of disease [17]. To this, FN-related constructs such as cooking confidence and diet quality are increasingly included in research that considers the links between mental health outcomes, including depression and anxiety [18, 19]. With teacher wellbeing known to be impacted by stress and burnout, and the growing evidence supporting the role of diet and potential benefits of culinary practices in mediating mental health outcomes, there is a need to consider a greater focus be given to a teachers’ personal FN-related health and wellbeing.
Teachers need support and education on how to optimise their own FN-related health and wellbeing to help them in fulfilling their professional FN roles as healthy role models and advocates for the students in their care [20, 21]. Previous review studies have explored the impact of work-related factors on the health and wellbeing of early learning educators; but not schoolteachers, with limited review of FN beyond brief dietary indicators [22,23,24,25,26]. Although, more recent reviews and research have looked at the concept of, and/or contributors of wellbeing in primary and secondary schoolteachers [1, 7, 9, 27,28,29,30,31,32], including mental health, stress, and burnout, they have not considered the influence or role of FN factors. One systematic review and meta-analysis on teacher nutrition education professional development interventions was identified, but it did not consider the impact of this education on teacher wellbeing [33]. This highlights a clear gap to investigate research that has included aspects of teacher FN, how the FN constructs were measured and what, if anything they can tell us about the potential influence FN factors have on teacher-related health and wellbeing.
Therefore, the current scoping review aims to summarise the range of FN constructs included across research on teacher’s personal FN-related health and wellbeing. The review will map evidence on teacher FN-related health and wellbeing and how this has been evaluated to inform future research.
Methods
A scoping review methodology was selected to both enable research from a diverse collection of areas across education, and health, while providing a structed yet iterative process that provided a clear review framework with the flexibility to refine parameters as references were collected and information sourced. The term FN-related health and wellbeing is used within the current review to encompass the complexity of individual, interpersonal, environmental and policy related constructs that influence an individuals’ FN decisions and healthy eating behaviours. For the purposes of this review a distinction is made between personal and professional FN constructs, as outlined in Table 1. Personal FN constructs relate to the individual teachers, primarily in their personal lives, even though these may have downstream effects on student FN factors e.g., through role modelling eating behaviours or a capability to transfer deep FN-related knowledge and skills. Professional FN constructs are defined here as those specifically related to the teachers’ professional role, even though these may potentially also influence personal FN.
Design
A scoping review protocol was developed, guided by the Joanna Briggs Institute (JBI) guidelines [47], the preferred reporting items for systematic reviews and meta-analysis extension for scoping reviews (PRISMA-Scr) checklist [48, 49] (Additional file 1) along with complementary papers [50, 51] and research guidelines [52].
Eligibility criteria
Early learning preservice and in-service teacher/educators were not included within this review as earlier scoping reviews exploring this population were identified [22,23,24,25,26] and for the differences noted between school-based teachers and early learning teacher/educators. Many studies identified in screening often used the terms educators and teachers interchangeably making it difficult to distinguish between them, with notable differences recognised in in their daily responsibilities or workload and the training required to become an early childhood teacher (e.g., a 3–4-year university degree) or an early childhood educator (e.g., a variety of Technical and Further Education (TAFE) certificates or diplomas). Table 2 provides a full summary of the inclusion and exclusion criteria.
Literature search strategy
In June/July 2021 six databases were searched: PsychInfo, ERIC via PROQUEST, CINAHL, Medline, Embase, Scopus. Database specific search strategies were developed in consultation with two senior University of Newcastle librarians’ using the population, concept, context, (PCC) mnemonic [47]. The Medline search strategy is shown in Table 3, with all database search strategies documented in Additional file 2. The reference list of included papers was screened for additional eligible papers.
Study selection
Screening of papers was conducted by two independent reviewers (BF, TJ) using Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia, available at www.covidence.org. Title and abstract screening, and full text screening were conducted by BF, TJ with conflicts resolved by discussion and by a third independent reviewer when conflicts could not be resolved. Reference lists of excluded full text papers, flagged reviews, and study protocols identified, were also screened for potential papers of interest.
Data extraction
A data extraction instrument was created by lead author (TJ) guided by the JBI manual for evidence synthesis [47] and piloted with a sample of selected papers by two independent researchers (BF, TJ). Extractions were compared for similarity and refinements made to the extraction tool with input from the research team. A summary table of the qualitative and quantitative data extraction tool is provided in Additional file 3. When data from a study was reported across multiple papers, all were extracted individually to capture each FN construct investigated, to address the unique aims of each paper. Initial extraction was completed within the Covidence review system software by lead author (TJ) with the second reviewer (BF) independently conducting data extraction on approximately 10% of included full text papers to ensure consensus in extraction. As the purpose of a scoping review is to map evidence, few include a critical appraisal step, with the focus of the current review to investigate and map what types of FN constructs could be found and how these were measured across studies, a critical appraisal step was not conducted to assess study design quality [50].
Data analysis
Papers were grouped for descriptive analysis based on study type to assess distribution of included study characteristics and data collection methods. FN constructs were initially dichotomised as personal or professional, with constructs allocated to thematically appropriate groups based on the content description and sample questions provided in each eligible research paper. Where a description of the construct was not provided, it was placed in a suitable group based on name only.
No formal statistical analysis was conducted to assess trends in different areas of teacher FN-related health and wellbeing such as nutrition knowledge or dietary intake due to the diversity of construct terminology identified across studies. Instead, further descriptive analysis was conducted using the primary study aim to allocate each paper to one of five groups: Teacher Personal FN, Teacher Professional FN, Student FN, Teacher and Student Personal FN, or Other. Final summary tables were transferred from Microsoft Excel spreadsheets into Microsoft Word and simplified for final presentation.
Results
Figure 1 illustrates the flow of papers through the different phases with 10,677 unique references screened identifying 368 papers eligible for full text review and a final 105 for inclusion and data extraction. Of the 105 papers, in-service teachers (n = 93) were the main participants, with the remaining 12 papers utilising pre-service teachers. Thirty-two papers included teachers with other participants such as guidance teachers’, assistant teachers’, administrative staff, transition teachers and in one instance other health fund members (professions not specified), with a complete summary provided in Additional file 4.
Flow of papers through the different screening phases
Where some papers specifically mentioned the participant population were teachers, some did not clearly describe them as primary, secondary, or relevant international categories (e.g., junior, middle, high or senior school, and elementary). Where applicable, to clarify this aspect emails (n = 24) were sent to authors who were provided a month in which to respond. Thirteen papers where authors’ response was not received were excluded under the “Participants ineligible” exclusion reason as participant population was unable to be confirmed.
Figure 2 indicates that studies were predominately from the United States of America (n = 44), Australia (n = 7), Iran (n = 7), Brazil (n = 6), South Africa (n = 5), Canada (n = 4) and Indonesia (n = 4). Country of study origin is provided for all included papers in Additional file 4.
Global distribution of included papers
Included papers were grouped by study type as defined by Yoong et al. [53] which utilises three groups, descriptive (n = 69), intervention (n = 35), and measurement (n = 1). Included papers being further grouped using the primary study aim into five main groups for analysis of key characteristics and the types of FN constructs used based on the study purpose (Additional file 4). The five groups were labelled, Teacher Personal FN (n = 37), Teacher Professional FN (n = 30), Student FN (n = 11), Teacher and Student Personal FN (n = 6) and Other (n = 21). Papers that focused on student-related aims favoured incorporating professional teaching FN constructs over personal FN constructs with the main personal FN constructs across these being nutrition knowledge, including food safely knowledge and skills, dietary assessment, and food attitudes. Papers within the ‘Other’ category most often included research focused on diet-disease relationships with teachers acting as a convenience sample with the focus solely on ‘personal FN’ or other health-related and wellbeing covariates or constructs.
Across papers, a wide variety of personal and professional FN constructs were included, with differences noted in how similarly named constructs, such as nutrition knowledge were defined. A summary of all FN constructs identified and thematically grouped based on content descriptions and sample questions is provided in Table 4, with a further breakdown given in Additional files 5 and 6. The four main categories of personal FN: dietary assessment, nutrition knowledge, food or eating habits and behaviours, and nutrition attitudes, are provided in separate tables with content descriptions and sample questions included (Additional file 7).
Of the 105 papers, 66 captured one personal FN construct, with dietary assessment (n = 31), followed by, nutrition knowledge (n = 12) and food or eating habits and behaviours (n = 8) being the most prominent, (body mass index and waist circumference were not included as a construct in this description). The remaining 38 papers captured two or more constructs, with different combinations represented including knowledge, attitudes [54], and behaviour or practices [55, 56]; skills, knowledge, practices [57] and behaviour or attitudes and practices [58] as a few examples. Thematic instead of a definitive analysis breakdown was employed to group the most common constructs, due to the lack of consistent terminology, especially in how similarly named constructs were defined across included references. Results of this thematic analysis have been summarised and outlined below, broken down to explore the most common constructs observed across the three main categories of Personal FN, Professional FN and Other-related Health and Wellbeing constructs or covariates.
Personal food and nutrition
Dietary assessment (n = 41) and nutrition knowledge (n = 33) were the two most utilised constructs across papers, followed by food or eating habits and behaviours (n = 23) and nutrition attitudes (n = 15). Additional file 7 provides a summary of the four main construct groups identified using the term provided in the paper of origin to demonstrate the diversity of terminology and ways in which constructs have been defined. Culinary FN constructs were identified across five included papers [59,60,61,62,63], or included as an element within another construct [64] and are summarised in the “Culinary” section of Additional file 5.
Dietary assessment
Dietary assessment construct terms included dietary intake (n = 36, Additional file 7), dietary habits (n = 1) [65], behaviours (n = 1) [54], nutrition practice (n = 1) [66] and nutrition patterns (n = 1) [67], with additional dietary pattern analysis or dietary quality scores being calculated (n = 3) [68,69,70]. Papers measuring dietary intake varied in methodology, using food frequency questionnaires (FFQ) (n = 18) [69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86], fruit and vegetable screeners (n = 6) [87,88,89,90,91,92], fat screeners (n = 2) [37, 43], dietitian conducted 24-h recalls (n = 3) [93,94,95], automatic 24-h recalls (n = 3) [68, 96, 97], a one week food diary (n = 1) [98], short food frequency measure (n = 1) [99] or brief questions to measure food frequency across select food groups (n = 2) [60, 100].
Nutrition knowledge
Nutrition knowledge was measured across 33 papers (Additional file 7), with 15 using the construct term ‘Nutrition knowledge’ with various FN-focused questions observed, including local dietary guideline recommendations (n = 8) [63, 71, 101,102,103,104,105,106], nutrient content and/or functions (n = 7) [56, 63, 71, 77, 104, 105, 107], diet-disease relationship (n = 4) [63, 104, 106, 108], food safety and/or hygiene (n = 5) [71, 77, 106,107,108]. Seventeen additional papers included nutrition knowledge under different construct terms or scores including nutrition literacy [109], knowledge of nutrition score and a knowledge of nutrients functions score [66], healthy food choices knowledge score [110], or combined in a multi-faceted construct that included nutrition knowledge along with attitudes and practices questions [111]. Where constructs were identified separately as knowledge or attitudes they have been allocated to each specific thematic category. Those that did not provide clearly separated constructs and were included together are identified in the thematic analysis of only one category based on the content description provided. While some papers within this category included food safety questions (n = 4) [55, 77, 106, 108], those that focused solely on food safety knowledge, practices or skills were grouped separately under food safety practises or knowledge (n = 5) [57, 112,113,114,115]. Ten papers provided sample questions [2, 64, 101, 102, 106, 110, 116,117,118,119], with two papers stating nutrition knowledge was assessed, with another providing two nutrition knowledge scores, but none of these provided a description, tool reference or sample question to identify how nutrition knowledge was defined [54, 66, 120].
Food or eating habits and behaviour, and nutrition attitudes
Within the food or eating habits and behaviours category a range of construct terms were identified across the 23 included papers (Additional file 7). The most common were eating habits, including frequency of meals or snacks consumed daily (n = 4) [60, 61, 71, 121] or meal skipping practices (n = 2) [66, 122]. Six papers used or included an adapted version of the Personal Health Index [43] which has six single item questions around teacher health perceptions, level of satisfaction with their eating habits and regularity of consuming recommended fruit and vegetable serves [2, 37, 43, 46, 99, 123]. Self-regulation of diet was assessed in two papers utilising the Treatment Self-Regulations Questionnaire for Diet that incorporates the self-determination theory approach [124, 125]. One study indicated evaluating dietary and hygienic habits without description of construct content [126]. Of the 15 papers (Additional file 7) that included a nutrition attitudes construct, two included no description of the content covered [55, 127], three papers included attitudes with practice or behaviours [56, 58, 103] with one paper capturing two attitude scores including food value orientation and food waste attitudes [58].
Body image, disordered eating, dieting status and weight change behaviours
Body image (n = 7), disordered eating (n = 5), dieting status and weight change behaviours (n = 9), (See Additional file 5) were not included within the food or eating habits and behaviour, or nutrition attitudes categories, remaining as separate construct categories due to the specificity of the health and psychological behaviours being explored.
Culinary
Five papers measured culinary focused constructs [59,60,61,62,63] with one paper including more than one construct (e.g., cooking attitudes, frequency of home meal preparation and average time spent preparing a meal) [59]. One paper [60] used two single item questions to identify basic cookery practices in relation to health, including use of salt in cooking and type of fats and oils used, with two further studies measuring confidence and self-efficacy in conducting culinary practices or an individual’s level of food literacy [61, 62]. Another paper included two single item questions to identify which participants were responsible for home meal preparation and frequency of meal preparation [63]. Finally, to demonstrate the diversity of construct terminology, one paper not counted as including a culinary construct did identify single item questions with a culinary focus, within their nutrition knowledge and behaviour construct that measured a participant’s ability to identify healthy cooking practices (e.g., steaming) [64].
Professional food and nutrition
Of 42 papers measuring some aspect of professional FN (Additional file 6), all had a Teacher Professional FN primary aim apart from six papers that identified a student FN [128,129,130,131,132,133] primary aim (Additional file 4). The school practices attitudes and beliefs category (n = 18, Additional file 6) was the largest Teacher Professional FN category observed among included papers, with one paper identified multiple times using three constructs to collect data on teacher perceptions of school wide food practices, beliefs regarding the school-food environment and food-related school policy [134]. Another paper measured two aspects of school practices, attitudes, and beliefs, being, the school food environment and teachers’ perceptions of the importance of aspects of food literacy [62]. The classroom practices and role modelling category were the next largest (n = 15), followed by, nutrition education self-efficacy (n = 11). These were also the most frequently observed construct groups with common tools used across included papers including the Classroom Food Practices construct, the School Food Environment Index [43] and the Nutrition Teaching Self-Efficacy Measure [44].
Other-related health and wellbeing covariates and constructs
Physical activity and/or exercise, including self-regulation of these was the most common covariate or construct included across 43 of the included papers, followed by smoking and/or smoking status and tobacco use (n = 23), alcohol intake (n = 11), and sleep (n = 5). With mental health and wellbeing measured in 11 [60, 68, 90,91,92, 122, 135,136,137,138,139] of the 105 papers, including perceived stress [122] and perceived occupational stress [68]. Three papers utilised a personal health assessment to report work related aspects of job performance, along with life satisfaction, and related mental health outcomes such as depression, stress, and loneliness [90,91,92]. One study included an aspect of mindfulness [137] with two papers using different measures to assess an Individual Lifestyle Profile and the Assessment Scale of the Quality of Life at Work Perceived by Primary and Secondary School Physical Education Teachers, which included aspects of work conditions and opportunities, job autonomy and social integration in the workplace [135, 136]. Perceived organisational commitment to employee health was measured in one study [139]. Frequency of practicing a collection of five healthy habits, including mental health was included in a larger measure of one paper [138], with a final paper using two single item questions to evaluate if participants had any organic or psychiatric diseases in a yes and no style question format [60].
Characteristics of the tools used to collect food and nutrition data
Table 5 demonstrates the distribution of data collection methods used across included papers with questionnaires (n = 99) being the predominate data collection method, with participants self-reporting responses in paper-based or digital format. Five papers used researcher assistance to complete questionnaires [126, 131] with three being a part of the one study [72,73,74]. Few papers that used questionnaires listed the average completion time, with those that did, indicating completion took between 10–20 minutes [60, 88, 103], two others mentioned either a longer completion time of 45 minutes [139] or shorter, approximately eight minutes [92]. Other data collection methods included anthropometric data (n = 51), followed by health-related data, which included blood pressure or fasting blood samples (n = 15). Physical assessment was measured in four papers with three papers, from the same study, using accelerometers with participants [93,94,95]. Linkage data used in eight papers provided data from state mortality files with qualitative data collected in fifteen papers using interview methods of data collection (n = 11) or focus groups (n = 4). Validation and reliability testing methods were reviewed for the data collection methods used across included papers with descriptions of psychometric testing often unclear, missing or a reference provided to indicate additional information on tool development and/or testing was reported elsewhere. Of the 105 papers reviewed only 22 papers included a clear description of validation methods used, with 13 providing an explanation of the reliability testing conducted. Further analysis of psychometric testing of data collection methods reviewed was beyond the scope of this current review (Additional file 4).
Discussion
The current scoping review has summarised study characteristics and data collection methods used to measure FN-related health and wellbeing in teachers. The aim was to examine the types and range of FN constructs that have been used to date, particularly in reporting personal FN constructs. The results indicate that FN constructs have been reported across a range of study designs with diverse aims and disciplines, to measure data on personal and professional aspects of FN-related health and wellbeing in teachers. The major finding is that the constructs used in research to date are highly variable and lack consistency in construct terminology. Dietary habits were one construct appearing in two included papers [60, 65], with another four including dietary habits examining eating habits [135, 136], eating behaviours [122] or hygienic behaviours [126], yet these were placed in three different construct groups during thematic analysis based on content variations within the papers. The three construct groups dietary habits appeared in were dietary assessment [65], food or eating habits and behaviours [122, 126, 135, 136], and culinary [60]. Given that papers have been published internationally, some diversity in construct content is to be expected due to global differences in food based dietary guidelines, cultural food preferences and practices, and local food sources. However, the diversity extends beyond these expected variations with this clearly demonstrated in detail across Additional files 5, 6 and 7 where each construct identified is listed by the names given or described across included papers. Therefore, to assess those most frequently used and to identify common themes and gaps, thematic analysis was conducted. Where possible the results of common construct themes are discussed in relation to the DONE framework as a guide to the variety of determinates that impact healthy eating as well as their potential modifiability, population level of effect and suggested research priorities [10, 11].
The DONE framework identifies 51 determinate groups, that contribute to or influence FN choices and healthy eating actions of individuals [10, 11]. These determinates are placed into four categories of individual, interpersonal, environmental and policy, and have been rated within this framework based on their modifiability, population level of effect and the relationship strength between the two. Determinates with a higher ranking in all three areas are then listed in order of potential research priority.
Measuring teacher personal food and nutrition-related health and wellbeing, the determinates, and correlates to consider
Dietary assessment
Results of the current review indicate dietary assessment was the most used construct across all studies, especially within papers that included only one personal FN construct. Diet quality is an established correlate of health-related outcomes, used globally to assess dietary risks regarding morbidity and mortality [149, 150] and used across a range of study designs. The use of FFQ or dietary screeners, like those used within included papers (Additional file 7), make the assessment of dietary intake practical and efficient to incorporate within research studies, with brief dietary screeners providing indicators of diet quality while reducing researcher and participant burden [34].
Diet quality indexes have recently been used as a diet-related health indicator in mental health and wellbeing interventions [14]. However, despite the recognition that teacher populations globally experience high levels of stress and burnout [29, 31], especially with additional pressures observed throughout the COVID-19 pandemic [151], only 11 of the current included review papers utilised a measure of mental health and/or wellbeing such as quality of life [135, 136] or perceived stress [152]. It is important that future research in teacher FN-related health and wellbeing includes investigation or consideration of the impact of key mental health-related factors such as stress, anxiety and/or burnout on teacher diet quality and other FN-related factors.
Nutrition knowledge
Despite nutrition knowledge being acknowledged within the DONE framework as a determinate of healthy eating and being potentially modifiable [10, 11], it only has a weak positive correlation with overall health and wellbeing [153]. Nutrition knowledge can be modified by education programs, which likely explains its frequent inclusion within included papers of this review and was the second most utilised construct observed [55, 102, 108, 154]. However, nutrition self-efficacy, dietary knowledge, and food knowledge all appear as stronger research priorities within the DONE framework determinate category that nutrition knowledge is grouped with. Nutrition education self-efficacy was captured as a professional FN construct in five of the included papers, with other papers exploring aspects of self-efficacy [46, 101, 102, 123, 129] and confidence to teach FN curriculum [105] or intervention materials [87]. Only one paper developed a specific measure to assessed personal food literacy self-efficacy [62], with others exploring aspects of healthy eating confidence by single items questions [105]. Overall, nutrition knowledge has a weak positive correlation with dietary intake [153] with other constructs that incorporate aspects of nutrition knowledge, nutrition self-efficacy and dietary knowledge such as food agency [13] and food skills confidence [12] identified as stronger correlates of health-related outcomes, including diet quality. Therefore, future research that investigates the connections between FN factors and health and wellbeing outcomes of teachers should consider incorporating constructs that measure aspects of nutrition knowledge yet have potentially stronger relationships with FN-related health and wellbeing outcomes.
Food or eating habits and behaviour, and nutrition attitudes
Within the DONE framework the Individual/psychological section includes nine determinate categories, of which health cognitions, followed by food habits, food knowledge, skills and abilities, and food beliefs are the top research priories in relation to healthy eating practices of individuals and populations [10, 11]. Within the current review food and eating habits and behaviour and nutrition attitudes were the third and fourth most commonly measured constructs in teacher participants. Six papers within the current review included a version of the Personal Health Index [43] or used an alternate measure to assess perceived health or health status [67, 90,91,92, 144]. Within the health cognitions determinate category of the DONE framework perceived health ranks the lowest, with health consciousness, health concerns, healthy eating motivation and healthy eating intentions listed as determinants with higher research priorities, potentially higher modifiability, and/or population level of effect [10, 11]. Healthy eating motivations and intentions were minimally covered across included papers [42, 110] and could present a potential area of further exploration in future teacher FN focused research.
Body image, disordered eating, dieting status and weight change behaviours
Within the current review eight papers included at least one construct related to body image, disordered eating, dieting status and/or weight change behaviours with three focused on teacher professional responsibilities. The remaining studies were classified within the current review as papers with personal aims, however, the focus did not include consideration of how these constructs may influence teacher overall health and wellbeing. Weight control cognitions and behaviours is noted within the individual/psychological level/category of the DONE framework, however, when considering the potential modifiability, population level of effect and overall research priority ranking only weigh loss intentions is included within the top few below nutrition knowledge, dietary knowledge, health consciousness and cooking skills [10, 11].
Culinary
Of the five papers that included a culinary construct, two measured participant food involvement or level of meal preparation participation which is included within the food beliefs determinate category of the DONE framework [10, 11]. However, none of these measured cooking skills which is a factor identified, within the food knowledge, skills, and abilities determinate group. With culinary inclusive interventions exploring the use of cooking skills [38, 155] in connection with dietary intake, and cooking confidence as a potential correlate of wellbeing outcomes in adults, not teacher participants [14,15,16], future FN research in teachers might consider further exploration of these two culinary constructs.
Other-related health and wellbeing constructs and covariates
Within the related health behaviours determinate category physical activity level is identified, along with alcohol consumption as covariates of health and diet related outcomes. Sleep was measured in five of the 105 included studies often as a single item question to assess sleep quality or quantity. While sleep ranks relatively low as a research priority connected to healthy eating within the DONE framework [10], it is acknowledged as a contributor and potential correlate of mental health and wellbeing outcomes [156]. Considering these findings, future teacher FN-related research should consider the covariates or other health related constructs that may contribute to or influence both the FN and related-health and wellbeing of teachers.
Measuring teacher professional food and nutrition, and student impact
The focus of the current review was to evaluate how and where personal FN constructs have been reported in research assessing FN-related health and wellbeing in teachers. This is an important factor to consider given the additional FN roles and responsibilities teachers hold and their potential to impact the school environment and students within their care [1, 157]. Of 42 papers that included one or more professional FN constructs, eight categories were created to collate the observed constructs. While variety in terminology was also an issue that impeded overall analysis, it was observed that what is being assessed in relation to teacher professional FN roles was better defined than teacher personal FN constructs. Although these findings should be interpreted with caution as only studies that included at least one personal FN factors were considered for inclusion in this review and used in the current analysis.
Classroom food related practices
Food rewards are commonly used by teachers globally as a classroom incentive, with energy-dense, nutrient-poor food items and beverages such as candy, pizza and sugar sweetened beverages most often selected over the preferred healthier options [158]. Within the DONE framework, food used as an incentive is identified within the parental feeding styles and parental behaviours determinate categories and is acknowledge as being impactful to healthy eating outcomes of children [10, 11]. Teachers’ have been viewed similarly as gatekeepers of influence within the school environment, through the provision and use of food rewards, measured in many of the papers in the current review within nutrition-related classroom practices, food-related classroom practices, or in the case of pre-service teachers, their future classroom intentions [37, 46]. Of the 10 papers that measured this determinate, half explored the connection between a teacher’s personal FN factors and their use of food rewards [2, 37, 43, 46, 97]. While different methods were used to explore this across included papers, personal FN factors such as diet quality, nutrition knowledge and personal health perceptions were noted as indicative of use of food rewards and level of teacher engagement in their professional FN roles. Of included papers, one reported that pre-service teachers with lower personal health perceptions and higher BMI were more likely to report using food rewards [46] with another identifying that diet quality within their study was positively correlated with better classroom nutrition practices [97]. Teachers of subject areas who most frequently receive some nutrition education such as physical education and consumer science (e.g., home sciences or home economics) were noted in one paper to be more likely to role model healthy habits and less likely to provide low nutritive food rewards [43]. Future studies should consider this connection in acknowledging how a teachers’ FN-related health and wellbeing can potentially impact student-related health and wellbeing.
Teacher personal and professional food and nutrition
The professional FN roles and responsibilities of teachers have been the focus of research to date, with personal FN being explored more frequently in the last two decades. However, the two should not be considered in isolation with this review highlighting the many personal FN determinates such as nutrition knowledge [46, 108], food related practices [43, 90, 116], and beliefs about healthy nutrition [42], that may impact a teacher’s ability to be positive FN role models, health promoters, gate keepers and FN educators. Teachers need to be supported to achieve and maintain good personal FN practices to better support them in healthfully approaching their professional FN roles and general teacher practices towards achieving positive health promoting school environments.
Data collection methods
Questionnaires were the main method of assessing many different constructs (n = 99). Self-reported questionnaires have lower participant burden and can incorporate multiple constructs of interest to address a wide range of study designs. While this method can be prone to participant completion error or bias, when conducting research with teacher participants reducing teacher participation time is a key factor for this population group who are usually time poor. Reducing participant burden as a strategy to increase study participation using questionnaires with close-ended responses may therefore be an effective way to optimise questionnaire completion. Within the current review descriptions of psychometric testing conducted on included data collection methods was limited and often unclear, with complete descriptions of items and scales used within questionnaires rarely included. This lack of validation and reliability descriptions and clear outline of the items or scales included within questionnaires makes comparison between tools challenging and limits other researchers in utilising these tools in future research.
Implications for research
The current scoping review mapped the research examining how teacher FN-related health and wellbeing has been studied across a wide range of study designs, and the main FN constructs used to assess it identifying key gaps. Results can be used to guide future school and teacher focused research, that incorporates teacher’s personal and professional FN constructs and their impact on individual teacher-related health and wellbeing.
Strengths and limitations
The current review study is the first to comprehensively investigate where and how personal FN constructs and related health and wellbeing factors have been used or measured across education and health research that included teacher participants. Recommended guidelines for scoping review [47] methodology were observed at all stages and allowed a wide net to be cast, gathering papers from various fields of research. While this added to the diversity of study designs, themes and gaps mapped, it limited traditional data synthesis due to the heterogeneity of construct terminology identified. While all included papers were published in peer reviewed journals a formal critical appraisal was not conducted.
Where papers did not provide a clear description of teacher FN component(s) in the abstract, potentially relevant papers may have been excluded in screening phase. Hence, although many studies are included, results should be interpreted with caution. Additionally, studies that indicated a teacher FN component, but did not provide a clear description within the methods were excluded at full text screening for lack of detail.
While thematic analysis provided a broad overview of the common themes and gaps, it is acknowledged that the strength of the current review is the mapping of the definitions, descriptions, and sample questions detailing FN-related constructs provided in the included papers. Therefore, where limited description was provided, these constructs may have been incorrectly placed within a construct category. However, this further highlights the need for more clarity and detailed descriptions of constructs used within teacher interventions and the possible sharing or inclusion of sample questions, to ensure research is represented as intended in future studies and the need for standardisation of construct terminology.
Conclusion
This is the first review to map where and how teacher personal FN have been reported across international research including student and school focused papers. While facets of teacher FN have been studied across a wide range of research areas, the lack of validated tools or clearly defined evidence-based FN constructs used in research to date makes comparisons or assessment of teacher population personal FN status challenging. Future research is needed to address these gaps.
Availability of data and materials
Not available.
Abbreviations
- FN:
-
Food and Nutrition
- DONE:
-
Determinates Of Nutrition and Eating
- PRISMA-Scr:
-
Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews
- PCC:
-
Population Concept Context
References
Faye M, Deborah P, Anne G, et al. Teacher wellbeing: a review of the literature. Australia: Association of Indepentent Schools of Australia; 2017. Available from: https://apo.org.au/node/201816.
Hamilton L, Goodman L, Roberts L, Dial LA, Pratt M, Musher-Eizenman D. Teacher experience, personal health, and dieting status Is associated with classroom health-related practices and modeling. J Sch Health. 2021;91(2):155–63.
Byrne J, Rietdijk W, Pickett K. Teachers as health promoters: factors that influence early career teachers to engage with health and wellbeing education. Teach Teach Educ. 2018;69:289–99.
Pulimeno M. Training teachers as health promoters. J Interdisip Res Appl Med. 2020;4(1):37–46.
Love P, Booth A, Margerison C, Nowson C, Grimes C. Food and nutrition education opportunities within Australian primary schools. Health Promot Int. 2020;35(6):1291–301.
Follong BM, Verdonschot A, Prieto-Rodriguez E, Miller A, Collins CE, Bucher T. Nutrition across the curriculum: a scoping review exploring the integration of nutrition education within primary schools. Nutr Res Rev. 2022;35(2):181–96.
Vo DT, Allen K-A. A systematic review of school-based positive psychology interventions to foster teacher wellbeing. Teach Teach. 2022;28(8):964–99.
AITSL. Spotlight wellbeing in Australian schools. Australia: Australian Institute for Teaching and School leadership Limited; 2022.
Carroll A, Forrest K, Sanders-O’Connor E, Flynn L, Bower JM, Fynes-Clinton S, et al. Teacher stress and burnout in Australia: examining the role of intrapersonal and environmental factors. Soc Psychol Educ. 2022;25(2):441–69.
Group D. The DONE (Determinants of Nutrition and Eating) interactive framework. Available from: https://www.uni-konstanz.de/DONE/.
Stok FM, Hoffmann S, Volkert D, Boeing H, Ensenauer R, Stelmach-Mardas M, et al. The DONE framework: creation, evaluation, and updating of an interdisciplinary, dynamic framework 2.0 of determinants of nutrition and eating. PLoS One. 2017;12(2):e0171077.
Lavelle F, Bucher T, Dean M, Brown HM, Rollo ME, Collins CE. Diet quality is more strongly related to food skills rather than cooking skills confidence: results from a national cross-sectional survey. Nutr Diet. 2020;77(1):112–20.
Wolfson JA, Lahne J, Raj M, Insolera N, Lavelle F, Dean M. Food agency in the United States: associations with cooking behavior and dietary intake. Nutrients. 2020;12(3):877.
Rees J, Fu SC, Lo J, Sambell R, Lewis JR, Christophersen CT, et al. How a 7-week food literacy cooking program affects cooking confidence and mental health: findings of a quasi-experimental controlled intervention trial. Front Nutr. 2022;9:802940.
Farmer N, Cotter EW. Well-being and cooking behavior: using the Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA) model as a theoretical framework. Front Psychol. 2021;12:560578.
Farmer N, Touchton-Leonard K, Ross A. Psychosocial benefits of cooking interventions: a systematic review. Health Educ Behav. 2018;45(2):167–80.
Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, et al. Health effects of dietary risks in 195 countries, 1990–2013;2017: a systematic analysis for the global burden of disease study 2017. The Lancet. 2019;393(10184):1958–72.
O’Neill S, Minehan M, Knight-Agarwal CR, Turner M. Depression, is it treatable in adults utilising dietary interventions? A systematic review of randomised controlled trials. Nutrients. 2022;14(7):1398.
Jacka FN, O’Neil A, Opie R, Itsiopoulos C, Cotton S, Mohebbi M, et al. A randomised controlled trial of dietary improvement for adults with major depression (the ‘SMILES’ trial). BMC Med. 2017;15(1):23.
Rahm T, Heise E. Teaching happiness to teachers - development and evaluation of a training in subjective well-being. Front Psychol. 2019;10:2703.
Dreer B, Gouasé N. Interventions fostering well-being of schoolteachers: a review of research. Oxf Rev Educ. 2022;48(5):587–605.
Lessard LM, Wilkins K, Rose-Malm J, Mazzocchi MC. The health status of the early care and education workforce in the USA: a scoping review of the evidence and current practice. Public Health Rev. 2020;41:2.
Liu H, Xu X, Liu D, Rao Y, Reis C, Sharma M, et al. Nutrition-related knowledge, attitudes, and practices (KAP) among kindergarten teachers in Chongqing, China: a cross-sectional survey. Int J Environ Res Public Health. 2018;15(4):615.
Hoffmann SW, Tug S, Simon P. Obesity prevalence and unfavorable health risk behaviors among German kindergarten teachers: cross-sectional results of the kindergarten teacher health study. BMC Public Health. 2013;13(1):927.
Wirth T, Kozak A, Schedlbauer G, Nienhaus A. Health behaviour, health status and occupational prospects of apprentice nurses and kindergarten teachers in Germany: a cross-sectional study. J Occup Med Toxicol. 2016;11(1):26.
Tomotake M, Harada T, Ishimoto Y, Tanioka T, Ohmori T. Temperament, character, and eating attitudes in Japanese college women. Psychol Rep. 2003;92(3 Pt 2):1162–8.
von der Embse N, Ryan SV, Gibbs T, Mankin A. Teacher stress interventions: a systematic review. Psychol Sch. 2019;56(8):1328–43.
Proeschold-Bell RJ SM, Huynh H, Baghdady A, Vann V, Amanya C, Al-Khalaf M, Whetten K. Teacher wellbeing: findings from a scoping literature review and case studies in Cambodia, Kenya, and Qatar. 2021.
Agyapong B, Obuobi-Donkor G, Burback L, Wei Y. Stress, burnout, anxiety and depression among teachers: a scoping review. Int J Environ Res Public Health. 2022;19(17):10706.
Hascher T, Waber J. Teacher well-being: a systematic review of the research literature from the year 2000–2019. Educ Res Rev. 2021;34:100411.
Ferguson K, Corrente M, Bourgeault I. Mental health experiences of teachers: a scoping review. J Teach Learn. 2022;16(1):23–43.
Beames JR, Spanos S, Roberts A, McGillivray L, Li S, Newby JM, et al. Intervention programs targeting the mental health, professional burnout, and/or wellbeing of school teachers: systematic review and meta-analyses. Educ Psychol Rev. 2023;35(1):26.
Peralta L, Werkhoven T, Cotton W, Dudley D. Professional development for elementary school teachers in nutrition education: a content synthesis of 23 initiatives. Health Behav Policy Rev. 2020;7:374–96.
Ashton L, Williams R, Wood L, Schumacher T, Burrows T, Rollo M, et al. The comparative validity of a brief diet screening tool for adults: The Fruit and Vegetable VAriety index (FAVVA). Clin Nutr ESPEN. 2019;29:189–97.
Collins CE, Boggess MM, Watson JF, Guest M, Duncanson K, Pezdirc K, et al. Reproducibility and comparative validity of a food frequency questionnaire for Australian adults. Clin Nutr. 2014;33(5):906–14.
Johnson F, Wardle J, Griffith J. The adolescent food habits checklist: reliability and validity of a measure of healthy eating behaviour in adolescents. Eur J Clin Nutr. 2002;56(7):644–9.
Rossiter M, Glanville T, Taylor J, Blum I. School food practices of prospective teachers. J Sch Health. 2007;77(10):694–700.
Lavelle F, McGowan L, Hollywood L, Surgenor D, McCloat A, Mooney E, et al. The development and validation of measures to assess cooking skills and food skills. Int J Behav Nutr Phys Act. 2017;14(1):118.
Thompson C, Adams J, Vidgen HA. Are we closer to International consensus on the term ‘food literacy’? A systematic scoping review of its use in the academic literature (1998–2019). Nutrients. 2021;13(6):2006.
Thompson C, Vidgen HA, Gallegos D, Hannan-Jones M. Validation of a revised general nutrition knowledge questionnaire for Australia. Public Health Nutr. 2021;24(7):1608–18.
Shamsalinia A, Ghadimi R, Chafjiri RT, Norouzinejad F, Pourhabib A, Ghaffari F. Nutrition self-efficacy assessment: designing and psychometric evaluation in a community-dwelling elderly population. J Health Popul Nutr. 2019;38(1):38.
Ates H. Elementary school teachers’ behavioral intentions for healthy nutrition. Health Educ. 2019;119(2):133–49.
Kubik MYLL, Hannan PJ, Story M, Perry CL. Food-related beliefs, eating behavior, and classroom food practices of middle school teachers. J Sch Health. 2002;72(8):339–45.
Brenowitz N, Tuttle CR. Development and testing of a nutrition-teaching self-efficacy scale for elementary school teachers. J Nutr Educ Behav. 2003;35(6):308–11.
Fernandes CF, Schwartz MB, Ickovics JR, Basch CE. Educator perspectives: selected barriers to implementation of school-level nutrition policies. J Nutr Educ Behav. 2019;51(7):843–9.
Coccia CC, Tamargo J, Macchi AK. Effects of nutrition knowledge, personal health and self-efficacy on food-related teaching practices of elementary school pre-service teachers. Health Educ J. 2020;79(8):974–86.
Peters MDJ GC, McInerney P, Munn Z, Tricco AC, Khalil H. Chapter 11: Scoping Reviews (2020 version). JBI Manual for Evidence Synthesis. Australia: Joanna Briggs Institute; 2020. Available from: https://synthesismanual.jni.global.
Moher D, Liberati A, Tetzlaff J, Altman DG, The PG. Preferred Reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.
Peters MDJ, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synthesis. 2020;18(10):2119–26.
Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.
National Health and Medical Research Council (NHMRC). Guidelines for guidelines handbook. Australia: Australian Goverment NHMRC. Available from: https://www.nhmrc.gov.au/guidelinesforguidelines/plan.
Yoong SL, Jackson J, Barnes C, Pearson N, Swindle T, O’Reilly S, et al. Changing landscape of nutrition and dietetics research? A bibliographic analysis of top-tier published research in 1998 and 2018. Public Health Nutr. 2021;24(6):1318–27.
Berger-Jenkins E, Rausch J, Okah E, Tsao D, Nieto A, Lyda E, et al. Evaluation of a coordinated school-based obesity prevention program in a hispanic community: choosing healthy and active lifestyles for kids/healthy schools healthy families. Am J Health Educ. 2014;45(5):261–70.
Kupolati MD, MacIntyre UE, Gericke GJ, Becker P. A contextual nutrition education program improves nutrition knowledge and attitudes of South African teachers and learners. Front Public Health. 2019;7:258.
Antwi J, Ohemeng A, Boateng L, Quaidoo E, Bannerman B. Primary school-based nutrition education intervention on nutrition knowledge, attitude and practices among school-age children in Ghana. Glob Health Promot. 2020;27(4):114–22.
Beffa-Negrini PA, Cohen NL, Laus MJ, McLandsborough LA. Development and evaluation of an online, inquiry-based food safety education program for secondary teachers and their students. J Food Sci Educ. 2007;6(4):66–71.
Elorinne A-L, Eronen L, Pollari M, Hokkanen J, Reijonen H, Murphy J. Investigating home economics teachers’ food waste practices and attitudes. J Teach Educ Sustain. 2020;22:6–20.
Prescott M, Lohse B, Balgopal M, Smith S, Addington R, Cunningham-Sabo L. Teacher well-being attributes are positively associated with teacher perceptions of Fuel for Fun tasting lessons. Top Clin Nutr. 2018;33:272–80.
Al-Gelban KS. Dietary habits and exercise practices among the students of a Saudi teachers’ training college. Saudi Med J. 2008;29(5):754–9.
Vio F, Yañez M, González CG, Fretes G, Salinas J. Teachers’ self-perception of their dietary behavior and needs to teach healthy eating habits in the school. J Health Psychol. 2018;23(8):1019–27.
Ronto R, Ball L, Pendergast D, Harris ND. Food literacy at secondary schools in Australia. J Sch Health. 2016;86(11):823–31.
Husain W, Ashkanani F, Al Dwairji MA. Nutrition knowledge among college of basic education students in Kuwait: a cross-sectional study. J Nutr Metab. 2021;2021:5560714.
Shah P, Misra A, Gupta N, Hazra D, Gupta R, Seth P, et al. Improvement in nutrition-related knowledge and behaviour of urban Asian Indian school children: Findings from the Medical education for children/Adolescents for Realistic prevention of obesity and diabetes and for healthy aGeing (MARG) intervention study. Br J Nutr. 2010;104:427–36.
Delfino LD, Tebar WR, Gil FC, De Souza JM, Romanzini M, Fernandes RA, et al. Association of sedentary behaviour patterns with dietary and lifestyle habits among public school teachers: a cross-sectional study. BMJ Open. 2020;10(1):e034322.
Al-Refaee F, Al-Dhafiri S, Al-Qattan S, Al-Mutairi A, Jaber S, Nassar M. Nutritional knowledge, attitude and practice of high school girls living in Kuwait: a pilot study. Kuwait Med J. 2013;45:118–22.
Snelling A, Belson SI, Young JL. School health reform: investigating the role of teachers. J Child Nutr Manag. 2012;36:6.
Schultz NS, Chui KKH, Economos CD, Lichtenstein AH, Volpe SL, Sacheck JM. Impact of physical activity, diet quality and stress on cardiometabolic health in school employees. Prev Med Rep. 2020;20:101243.
Haridass V, Ziogas A, Neuhausen SL, Anton-Culver H, Odegaard AO. Diet quality scores inversely associated with postmenopausal breast cancer risk are not associated with premenopausal breast cancer risk in the California Teachers Study. J Nutr. 2018;148(11):1830–7.
Sakhaei R, Shahvazi S, Mozaffari-Khosravi H, Samadi M, Khatibi N, Nadjarzadeh A, et al. The dietary approaches to stop hypertension (DASH)-style diet and an alternative mediterranean diet are differently associated with serum inflammatory markers in female adults. Food Nutr Bull. 2018;39(3):361–76.
Chen YH, Yeh CY, Lai YM, Shyu ML, Huang KC, Chiou HY. Significant effects of implementation of health-promoting schools on schoolteachers’ nutrition knowledge and dietary intake in Taiwan. Public Health Nutr. 2010;13(4):579–88.
Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr. 2006;84(6):1489–97.
Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women. Am J Clin Nutr. 2007;85(3):910–8.
Esmaillzadeh A, Azadbakht L. Legume consumption is inversely associated with serum concentrations of adhesion molecules and inflammatory biomarkers among Iranian women. J Nutr. 2012;142(2):334–9.
Khatibi N, Shahvazi S, Nadjarzadeh A, Samadi M, Zare F, Salehi-Abargouei A. Empirically derived dietary patterns and serum inflammatory markers in Iranian female teachers: a cross-sectional study. Nutr Diet. 2019;76(4):462–71.
López-Barrón RG, Jiménez-Cruz A, Bacardí-Gascón M. Modifiable environmental obesity risk factors among elementary school children in a Mexico-us border city. Nutr Hosp. 2015;31(5):2047–53.
Wang D, Stewart D, Chang C. A holistic school-based nutrition program fails to improve teachers’ nutrition-related knowledge, attitudes and behaviour in rural China. Health Educ. 2016;116(5):467–75.
Eng JY, Moy FM, Bulgiba A, Rampal S. Consistency and generalizability of dietary patterns in a multiethnic working Pppulation. J Acad Nutr Diet. 2018;118(7):1249-62.e3.
Eng JY, Moy FM, Bulgiba A, Rampal S. Dose-response relationship between western diet and being overweight among teachers in Malaysia. Nutrients. 2020;12(10):3092.
Canchola AJ, Lacey JV Jr, Bernstein L, Horn-Ross PL. Dietary patterns and endometrial cancer risk in the California Teachers Study cohort. Cancer Causes Control. 2015;26(4):627–34.
Chang ET, Lee VS, Canchola AJ, Dalvi TB, Clarke CA, Reynolds P, et al. Dietary patterns and risk of ovarian cancer in the California Teachers Study cohort. Nutr Cancer. 2008;60(3):285–91.
Chang ET, Lee VS, Canchola AJ, Clarke CA, Purdie DM, Reynolds P, et al. Diet and risk of ovarian cancer in the California Teachers Study cohort. Am J Epidemiol. 2007;165(7):802–13.
Link LB, Canchola AJ, Bernstein L, Clarke CA, Stram DO, Ursin G, et al. Dietary patterns and breast cancer risk in the California Teachers Study cohort. Am J Clin Nutr. 2013;98(6):1524–32.
Horn-Ross PL, Hoggatt KJ, West DW, Krone MR, Stewart SL, Anton H, et al. Recent diet and breast cancer risk: the California Teachers Study (USA). Cancer Causes Control. 2002;13(5):407–15.
Pacheco LS, Lacey JV Jr, Martinez ME, Lemus H, Araneta MRG, Sears DD, et al. Sugar-sweetened beverage intake and cardiovascular disease risk in the California Teachers Study. J Am Heart Assoc. 2020;9(10):e014883.
Reynolds P, Hurley SE, Hoggatt K, Anton-Culver H, Bernstein L, Deapen D, et al. Correlates of active and passive smoking in the California Teachers Study cohort. J Womens Health (Larchmt). 2004;13(7):778–90.
Story M, Mays RW, Bishop DB, Perry CL, Taylor G, Smyth M, et al. 5-a-day power plus: process evaluation of a multicomponent elementary school program to increase fruit and vegetable consumption. Health Educ Behav. 2000;27(2):187–200.
Chrisman M, Patel S, Alonzo R. Barriers to and facilitators of using MyPlate nutritional guidelines in K-12 teachers and principals. Health Educ J. 2019;79(2):152–65.
Frerichs L, Brittin J, Intolubbe-Chmil L, Trowbridge M, Sorensen D, Huang TT. The role of school design in shaping healthy eating-related attitudes, practices, and behaviors among school staff. J Sch Health. 2016;86(1):11–22.
LeCheminant JD, Merrill RM, Masterson T. Health behaviors and work-related outcomes among school employees. Am J Health Behav. 2015;39(3):345–51.
LeCheminant J, Merrill RM, Masterson TD. Changes in behaviors and outcomes among school-based employees in a wellness program. Health Promot Pract. 2017;18(6):895–901.
Merrill RM, Sloan A. Effectiveness of a health promotion program among employees in a Western United States school district. J Occup Environ Med. 2014;56:639–44.
Hartline-Grafton HL, Rose D, Johnson CC, Rice JC, Webber LS. The influence of weekday eating patterns on energy intake and BMI among female elementary school personnel. Obesity (Silver Spring). 2010;18(4):736–42.
Hartline-Grafton HL, Rose D, Johnson CC, Rice JC, Webber LS. Energy density of foods, but not beverages, is positively associated with body mass index in adult women. Eur J Clin Nutr. 2009;63(12):1411–8.
Hartline-Grafton HL, Rose D, Johnson CC, Rice JC, Webber LS. Are school employees role models of healthful eating? Dietary intake results from the ACTION worksite wellness trial. J Am Diet Assoc. 2009;109(9):1548–56.
Sirajuddin SM, Salam A. The effect of giving rice bran milk on blood glucose levels and body weight in hyperglycemic primary school teachers in Makassar City. Int J Pharm Res. 2021;13(1):2972–8.
Parker EA, Feinberg TM, Lane HG, Deitch R, Zemanick A, Saksvig BI, et al. Diet quality of elementary and middle school teachers is associated with healthier nutrition-related classroom practices. Prev Med Rep. 2020;18:101087.
Mullaney MI, Corish CA, Loxley A. Exploring the nutrition and lifestyle knowledge, attitudes and behaviour of student home economics teachers: baseline findings from a 4-year longitudinal study. Int J Consum Stud. 2008;32(4):314–22.
Perikkou A, Kokkinou E, Panagiotakos DB, Yannakoulia M. Teachers’ readiness to Implement nutrition education programs: beliefs, attitudes, and barriers. J Res Child Educ. 2015;29(2):202–11.
Monica SJ, John S, Madhanagopal R. Risk of obesity among female school teachers and its associated health problems. Curr Res Nutr Food Sci. 2018;6(2):404–11.
Kinsler J, Slusser W, Erausquin JT, Thai C, Prelip M. Nutrition knowledge and self-efficacy among classroom teachers from a large urban school district in Los Angeles County. Calif J Health Promot. 2012;10:118–25.
Kaschalk-Woods E, Fly AD, Foland EB, Dickinson SL, Chen X. Nutrition curriculum training and implementation improves teachers’ self-efficacy, knowledge, and outcome expectations. J Nutr Educ Behav. 2021;53(2):142–50.
Dalais L, Abrahams Z, Steyn N, Villiers A, Fourie J, Hill J, et al. The association between nutrition and physical activity knowledge and weight status of primary school educators. S Afr J Educ. 2014;34(3):1–8.
Jones AM, Zidenberg-Cherr S. Exploring nutrition education resources and barriers, and nutrition knowledge in teachers in California. J Nutr Educ Behav. 2015;47(2):162–9.
O’Dea J. Evaluation of nutrition and physical activity knowledge, attitudes, self efficacy and behaviors in teachers and children after implementation of the “Healthy Active Kids” online program in Australian elementary schools. Health. 2016;08:293–303.
Rafiroiu AC, Evans A. Nutrition knowledge, attitudes, and practices among nutrition educators in the South. Am J Health Stud. 2005;20(1):29.
Motamedrezaei O, Moodi M, Miri MR, Khodadadi M. The effect of nutrition and food hygieneeducation on the knowledge of female elementary school teachers in city of Ferdows. J Educ Health Promot. 2013;2:10.
Katsagoni CN, Apostolou A, Georgoulis M, Psarra G, Bathrellou E, Filippou C, et al. Schoolteachers’ nutrition knowledge, beliefs, and attitudes before and after an e-learning program. J Nutr Educ Behav. 2019;51(9):1088–98.
Hemati M, Toori M, Shams M, Behroozpour A. Effect of an educational intervention on nutrition literacy in teachers: a short communication. Malays J Nutr. 2020;26:495–500.
Barwood D, Smith S, Miller M, Boston J, Masek M, Devine A. Transformational game trial in nutrition education. Aust J Teach Educ. 2020;45:18–29.
Jafar N, Hasan N, Hadju V, Thaha RM, Arundhana AI. Improved knowledge, attitudes, and practices of balanced nutrition after educational intervention based on the self-determination theory: an Intervention study in senior school teachers in Makassar City. Open Access Maced J Med Sci. 2020;8(E):228–35.
Eley C, Lundgren PT, Kasza G, Truninger M, Brown C, Hugues VL, et al. Teaching young consumers in Europe: a multicentre qualitative needs assessment with educators on food hygiene and food safety. Perspect Public Health. 2021;142(3):175–83.
Costello C, Kane M, Davidson PM, Morris WC. Usage of a web-based food safety course to teach high school teachers. J Culin Sci Tech. 2005;4(1):113–22.
Endres J, Welch T, Perseli T. Use of a computerized kiosk in an assessment of food safety knowledge of high school students and science teachers. J Nutr Educ. 2001;33(1):37–42.
Pivarnik LF, Patnoad MS, Richard NL, Gable RK, Hirsch DW, Madaus J, et al. Assessment of food safety knowledge of high school and transition teachers of special needs students. J Food Sci Educ. 2009;8(1):13–9.
Findholt NE, Izumi BT, Shannon J, Nguyen T. Food-related practices and beliefs of rural US elementary and middle school teachers. Rural Remote Health. 2016;16(2):3821.
Hasan N, Hadju V, Jafar N, Thaha R. A relationship between knowledge, attitude, and practice about balanced nutrition guidelines and metabolic syndrome among central obese teachers in Makassar. Indian J Public Health Res Dev. 2019;10:579.
Falkenbach D, D’Avila H, Mello E. Knowledge, attitudes and practices of primary school teachers on nutrition and food. Int J Nutrol. 2018;11:021–9.
Lai Yeung Wai-ling T. Combating deceptive advertisements and labelling on food products – an exploratory study on the perceptions of teachers. Int J Consum Stud. 2004;28(2):117–26.
Gaglianone C, Taddei J, Colugnati F, Magalhães C, Davanço G, de Macedo L, et al. Nutrition education in public elementary schools of São Paulo, Brazil: the reducing risks of illness and death in adulthood project. Rev Nutr. 2006;19:309–20.
O’Dea JA, Abraham S. Knowledge, beliefs, attitudes, and behaviors related to weight control, eating disorders, and body image in Australian trainee home economics and physical education teachers. J Nutr Educ. 2001;33(6):332–40.
Lee BR, Ko YM, Cho MH, Yoon YR, Kye SH, Park YK. Effects of 12-week vegetarian diet on the nutritional status, stress status and bowel habits in middle school students and teachers. Clin Nutr Res. 2016;5(2):102–11.
Metos JM, Sarnoff K, Jordan KC. Teachers’ perceived and desired roles in nutrition education. J Sch Health. 2019;89(1):68–76.
Thaha RM, Hasan N, Hadju V, Jafar N, Muhiddin S, Maria IL. Measuring self-regulation after nutrition education modules with Self Determination Theory (SDT) intervention among teachers with or at risk metabolic syndrome. Gac Sanit. 2021;35(Suppl 1):S83–6.
Wilkinson C, Prusak K, Johnson T. Self-regulation of physical education teacher education students’ attitudes towards exercise and diet. ICHPER SD J Res. 2013;8:49–54.
Shi-Chang X, Xin-Wei Z, Shui-Yang X, Shu-Ming T, Sen-Hai Y, Aldinger C, et al. Creating health-promoting schools in China with a focus on nutrition. Health Promot Int. 2004;19(4):409–18.
Laurie SM, Faber M, Maduna MM. Assessment of food gardens as nutrition tool in primary schools in South Africa. South Afr J Clin Nutr. 2017;30(4):80–6.
Hyska J, Burazeri G, Menza V, Dupouy E. Assessing nutritional status and nutrition-related knowledge, attitudes and practices of Albanian schoolchildren to support school food and nutrition policies and programmes. Food Policy. 2020;96:101888.
Linnell JD, Smith MH, Briggs M, Brian KM, Scherr RE, Dharmar M, et al. Evaluating the relationships among teacher characteristics, implementation factors, and student outcomes of children participating in an experiential school-based nutrition program. Pedagogy Health Promot. 2016;2(4):256–65.
Lozada M, Sánchez-Castillo CP, Cabrera GA, Mata II, Pichardo-Ontiveros E, Villa AR, et al. School food in Mexican children. Public Health Nutr. 2008;11(9):924–33.
Machado S, Ritchie L, Thompson H, Reed A, Castro AI, Neelon M, et al. Multi-pronged intervention to increase secondary student participation in school lunch: design and rationale. Contemp Clin Trials. 2019;78:133–9.
McVey G, Tweed S, Blackmore E. Healthy Schools-Healthy Kids: a controlled evaluation of a comprehensive universal eating disorder prevention program. Body Image. 2007;4(2):115–36.
Talip T, Serudin R, Noor S, Tuah N. Qualitative study of eating habits in Bruneian primary school children. Asia Pac J Clin Nutr. 2017;26(6):1113–8.
Arcan C, Hannan PJ, Himes JH, Fulkerson JA, Rock BH, Smyth M, et al. Intervention effects on kindergarten and first-grade teachers’ classroom food practices and food-related beliefs in American Indian reservation schools. J Acad Nutr Diet. 2013;113(8):1076–83.
Both J, Borgatto A, Sonoo C, Lemos C, Ciampolini V, Vieira J. Multiple jobholding associated with the wellbeing of physical education teachers in Southern Brazil. Educ Fisica Deporte. 2016;35:1–14.
Both J, Borgatto A, Lemos C, Ciampolini V, Vieira J. Physical education teachers’ wellbeing and its relation with gender. Motricidade. 2017;13:23–32.
Dunn C, Whetstone LM, Kolasa KM, Jayaratne KS, Thomas C, Aggarwal S, et al. Delivering a behavior-change weight management program to teachers and state employees in North Carolina. Am J Health Promot. 2013;27(6):378–83.
Woynarowska-Soldan M. Project on school staff health promotion in Poland: the first experiences. Health Educ. 2015;115(3/4):405–19.
Lemon SC, Liu Q, Magner R, Schneider KL, Pbert L. Development and validation of worksite weight-related social norms surveys. Am J Health Behav. 2013;37(1):122–9.
Molloy CJ, Gandy J, Cunningham C, Slattery G. An exploration of factors that influence the regular consumption of water by Irish primary school children. J Hum Nutr Diet. 2008;21(5):512–5.
Okeyo AP, Seekoe E, de Villiers A, Faber M, Nel JH, Steyn NP. The food and nutrition environment at secondary schools in the Eastern Cape, South Africa as reported by learners. Int J Environ Res Public Health. 2020;17(11):4038.
Rana L, Alvaro R. Applying a health promoting schools approach to nutrition interventions in schools: key factors for success. Health Promot J Austr. 2010;21(2):106–13.
Russell-Mayhew S, Ireland A, Peat G. The impact of professional development about weight-related issues for pre-service teachers: a pilot study. Alberta J Educ Res. 2012;58(3):314–29.
Rombaldi AJBT, Canabarro LK, Neutzling MB, Correa LQ. Knowledge of physcial education teachers about risk factors for chronic disease in a city on southern Brazil. Rev Brasil Cineantroppmet Desempenho Hum. 2012;14(1):61–72.
Melville DS, Hammermeister J. Pre-service physical educators: their demographics, wellness practices, and teaching interests. The Phys Educ. 2006;63:69.
Russell-Mayhew S, Nutter S, Ireland A, Gabriele T, Bardick A, Crooks J, et al. Pilot testing a professional development model for preservice teachers in the area of health and weight: feasibility, utility, and efficacy. Adv School Ment Health Promot. 2015;8(3):176–86.
Yager Z, Gray T, Curry C, McLean SA. Body dissatisfaction, excessive exercise, and weight change strategies used by first-year undergraduate students: comparing health and physical education and other education students. J Eat Disord. 2017;5(1):10.
Yager Z, O’Dea J. Body image, dieting and disordered eating and activity practices among teacher trainees: implications for school-based health education and obesity prevention programs. Health Educ Res. 2009;24(3):472–82.
Wirt A, Collins CE. Diet quality – what is it and does it matter? Public Health Nutr. 2009;12(12):2473–92.
Dalwood P, Marshall S, Burrows TL, McIntosh A, Collins CE. Diet quality indices and their associations with health-related outcomes in children and adolescents: an updated systematic review. Nutr J. 2020;19(1):118.
Westphal A, Kalinowski E, Hoferichter CJ, Vock M. K−12 teachers’ stress and burnout during the COVID-19 pandemic: a systematic review. Front Psychol. 2022;13:920326.
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96.
Spronk I, Kullen C, Burdon C, O’Connor H. Relationship between nutrition knowledge and dietary intake. Br J Nutr. 2014;111(10):1713–26.
Wilna O-T, Egal A. Impact of nutrition education on nutrition knowledge of public school educators in South Africa: a pilot study. Health SA Gesondheid. 2012;17:1–8.
Asher RC, Jakstas T, Lavelle F, Wolfson JA, Rose A, Bucher T, et al. Development of the Cook-EdTM Matrix to guide food and cooking skill selection in culinary education programs that target diet quality and health. Nutrients. 2022;14(9):1778.
Scott AJ, Webb TL, Martyn-St James M, Rowse G, Weich S. Improving sleep quality leads to better mental health: a meta-analysis of randomised controlled trials. Sleep Med Rev. 2021;60:101556.
Roffey S. Pupil wellbeing—teacher wellbeing: two sides of the same coin? Educ Child Psychol. 2012;29:8–17.
Fedewa AL, Davis MC. How food as a reward is detrimental to children’s health, learning, and behavior. J Sch Health. 2015;85(9):648–58.
Acknowledgements
Nicole Faull Brown and Debbie Booth who assisted with search strategy development and database management.
Funding
This study is part of a larger study funded by the Teachers’ Health Foundation (This funding body had no role in the design or conduct of this study). TJ is supported by a Higher Degree Research Scholarship (Research Training Program) and Stipend (Research Training Program Allowance) at The University of Newcastle and a King and Amy O’Malley Postgraduate Scholarship; CEC is supported by a National Health and Medical Research Council of Australia Leadership Research Fellowship; VS is supported by a Hunter Medical Research Institute Research Funding.
Author information
Authors and Affiliations
Contributions
TJ prepared the review protocol, created, and tested the search strategy, with input from CEC, VS, AM, TB; TJ prepared the Covidence file; TJ and BF conducted review screening, with extraction process created by TJ and tested by BF; Data extraction and thematic analysis conducted by TJ, with input from entire research team; Manuscript prepared by TJ with input and review by entire research team.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Additional file 1.
PRISMA-Scr Checklist.
Additional file 2.
Search strategy by Database.
Additional file 3.
Overview of Data Extraction Table.
Additional file 4.
Primary Aims Summary Table (All Included Studies).
Additional file 5.
Personal FN-Summary of Constructs Observed.
Additional file 6.
Professional FN-Summary of Constructs Observed.
Additional file 7.
Main Constructs.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Jakstas, T., Follong, B., Bucher, T. et al. Addressing schoolteacher food and nutrition-related health and wellbeing: a scoping review of the food and nutrition constructs used across current research. Int J Behav Nutr Phys Act 20, 108 (2023). https://doi.org/10.1186/s12966-023-01502-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12966-023-01502-5