Psychometrics of the preschooler physical activity parenting practices instrument among a Latino sample
© O’Connor et al.; licensee BioMed Central Ltd. 2014
Received: 23 April 2013
Accepted: 10 January 2014
Published: 15 January 2014
Latino preschoolers (3-5 year old children) have among the highest rates of obesity. Low levels of physical activity (PA) are a risk factor for obesity. Characterizing what Latino parents do to encourage or discourage their preschooler to be physically active can help inform interventions to increase their PA. The objective was therefore to develop and assess the psychometrics of a new instrument: the Preschooler Physical Activity Parenting Practices (PPAPP) among a Latino sample, to assess parenting practices used to encourage or discourage PA among preschool-aged children.
Cross-sectional study of 240 Latino parents who reported the frequency of using PA parenting practices. 95% of respondents were mothers; 42% had more than a high school education. Child mean age was 4.5 (±0.9) years (52% male). Test-retest reliability was assessed in 20%, 2 weeks later. We assessed the fit of a priori models using Confirmatory factor analyses (CFA). In a separate sub-sample (35%), preschool-aged children wore accelerometers to assess associations with their PA and PPAPP subscales.
The a-priori models showed poor fit to the data. A modified factor structure for encouraging PPAPP had one multiple-item scale: engagement (15 items), and two single-items (have outdoor toys; not enroll in sport-reverse coded). The final factor structure for discouraging PPAPP had 4 subscales: promote inactive transport (3 items), promote screen time (3 items), psychological control (4 items) and restricting for safety (4 items). Test-retest reliability (ICC) for the two scales ranged from 0.56-0.85. Cronbach’s alphas ranged from 0.5-0.9. Several sub-factors correlated in the expected direction with children’s objectively measured PA.
The final models for encouraging and discouraging PPAPP had moderate to good fit, with moderate to excellent test-retest reliabilities. The PPAPP should be further evaluated to better assess its associations with children’s PA and offers a new tool for measuring PPAPP among Latino families with preschool-aged children.
KeywordsPhysical activity Parenting practices Latino Hispanic Preschool child Confirmatory factor analysis
Overweight and obesity among children have increased dramatically over the past decades. Latino children appear to be particularly susceptible to obesity even as preschoolers , and obesity-related metabolic and endocrine diseases as they get older . Regular engagement in physical activity (PA) appears to reduce the risk of obesity among preschool children [3, 4] particularly male preschoolers . Moreover, PA may track over time in children , suggesting that establishing higher levels of PA in young children might be beneficial. PA for children has been defined as: “bodily movement produced by skeletal muscles that results in energy expenditure, including active play, active transportation, household chores, sports participation, and exercise” (page 142)  adapted from Caspersen’s definition . Preschool children should get at least 60 minutes of structured PA (such as organized active play) and at least 60 minutes of unstructured PA (such as free play) daily .
According to Social Ecologic  and Social Cognitive Theories , PA is multi-factorial and influenced by individual, social, and physical environmental variables. For children, parents are an important social influence, influencing their PA directly, but also indirectly through children’s attraction to PA and perceived competence for PA . Decades of research on parental influences on children’s behaviors support that parents are an important determinant of children’s socialization and behaviors, both through their parenting style and their parenting practices . Darling and Steinberg defined parenting styles by the values and goals parents have in raising their child, the attitudes that the parents have regarding the parent-child relationship, and the parenting practices they use to attain their desired outcomes . The parenting style employed is believed to establish the emotional climate between the parent and the child. Parenting practices, on the other hand, are goal oriented parenting behaviors that are specific to a context and intended to influence their child’s behavior in that context  (e.g. rules around homework or promoting PA). While physical activity parenting practices have been identified and linked to children’s PA among older children [14–16], few instruments have been developed to assess parenting practices in the context of PA for preschoolers.
A recent systematic review of PA parenting questionnaires  identified 11 available PA parenting instruments. Only one was intended for preschool-aged children ; and another , originally intended for school aged children, was used among preschoolers . The review acknowledged that several measures lacked theoretical foundation, qualitative formative research, and/or appropriate validation studies, including psychometric analysis of the scales. They called for the development of comprehensive multi-dimensional PA parenting measures with appropriate validation prior to use. It is possible that the use of non-validated PA parenting scales is the reason for sometimes failing to identify associations of PA parenting practices with preschoolers’ PA in multivariate models in previous studies . Other reviews have identified the lack of studies that investigated potential negative parent social support for PA that may inhibit PA or promote inactivity, and encourage investigation into this construct .
Among older children, parents can be an important influence on children’s PA, through active role modeling, direct involvement, encouragement, and providing transportation . It is unclear if these same parenting practices are used by parents of preschool aged children or if they influence preschooler’s PA. Since cultural variables influence parenting  and children’s PA behaviors , a PA parenting practice instrument developed for use with Latino parents should be informed by qualitative studies with Latino parents. The aim of this study was therefore to a) develop a new multi-dimensional, self-report measure of Preschoolers’ PA Parenting Practices (PPAPP), and b) examine the psychometric properties (reliability, construct/factor validity and criterion validity) of the newly-developed PPAPP among a Latino sample.
Development of the PPAPP instrument
Darling and Steinberg  identified that parenting practices are not the same for all contexts and need to be operationalized for each specific context (e.g. PA parenting practices). The PPAPP instrument was therefore developed based on a qualitative formative study with Latino parents of preschool children , and the structure informed by current parenting paradigms [25–27] and research on parental influences on child PA [28–32].
The qualitative formative work used Nominal Group Technique (NGT) [33, 34], a structured multi-step group procedure to prompt and prioritize responses from a group of people in reaction to a question or problem. Ten NGT groups (n = 74) were conducted with Latino parents who were mostly mothers. Five groups were asked to identify what Latino parents do to encourage their preschool aged child to be physically active, and 5 were asked to identify what Latino parents do that may discourage their preschool aged child to be physically active. The prioritizations of responses from the five groups who addressed the same question were aggregated into rank order lists across the groups of the PA parenting practices that encourage or discourage Latino preschool children to be physically active and have been published elsewhere . We used the two prioritized lists to develop 38 items for PA parenting practices; based on parent responses in the NGT sessions the items were identified as encouraging child PA (21 items) or discouraging child PA (17 items).
Separate a priori reflective models  for parenting practices encouraging PA and discouraging PA were constructed for several reasons. First, there is some preliminary evidence that parenting practices that discourage PA may have a greater effect on preschooler’s PA than those that encourage PA, as children of this age tend to be active . Second, effective and ineffective fruit and vegetable parenting practices exist as separate constructs in separate models [38, 39], lending support to possible separate constructs in other parenting practice contexts. In this regard, a model of parenting practices to encourage and discourage PA based on data from this study showed that latent factors representing the two types of parenting practices were essentially independent. Third, specific practices discouraging PA may be negatively related to practices encouraging PA. Thus, a combined measurement model of parenting practices encouraging and discouraging PA would likely be overly complex with many items loading on multiple latent factors. In fact, when a combined model was tested in this study, six items loaded (in the opposite direction) onto latent factors representing both practices discouraging and encouraging PA.
The instructions for the instrument were to choose “the best answer for how often you do each of the following with your 3-5 year old child”. A 5-point Likert response scale was used (never, rarely, sometimes, often, and always). The questionnaire was first developed in English, then translated into Spanish by a staff member fluent in Spanish and English, and independently back-translated into English by a second bilingual staff to ensure content validity between the English and Spanish versions. Differences in the original and back-translated versions were reviewed and consensus was reached for conceptual and cultural rather than linguistic equivalence. Cognitive interviews [40, 41] were conducted with 10 parents while completing the PPAPP instrument and other instruments in the study. Five were conducted in Spanish and 5 in English to assess parents’ understanding of the instructions, items and response options. In general, the parents correctly interpreted the PPAPP items and response options in both languages. The cognitive interviews resulted in minor rewording of four of the 38 items to enhance clarity.
Sample and recruitment
A cross-sectional study with Latino parents of preschool aged children residing in Harris County, Texas (where Houston is located) was conducted. Since neighborhood crime and traffic safety may impact children’s PA , this study aimed to recruit Latino parents from neighborhoods cross-stratified by these neighborhood characteristics. Crime data at the census block group level for Harris County were obtained from Tetrad Inc (Vancouver, British Columbia; http://www.tetrad.com) who modeled a crime index based on FBI Uniform Crime Report data from 1998- 2007, including personal (murder, rape, robbery, and assault) and property (burglary, larceny, and motor-vehicle thefts) crimes. Traffic-related injury data at the census block group level from 2004-2008 were obtained from the Houston-Galveston Area Council and included de-identified counts of motor vehicle, pedestrian, and cyclist accidents resulting in injuries or deaths. In addition, the motor vehicle miles traveled for each block group were estimated by the vehicle count per block group divided by the mean distance from center of block group to the border of the block group based on 2000 US census maps . A principle components analysis of the traffic data revealed three factors: (1) motor vehicle injury and fatalities, (2) vehicle miles traveled and pedestrian fatalities, and (3) cyclist fatalities. A traffic safety index was calculated as the sum of the three traffic factor scores for each census block group. Based on median splits of the crime and traffic safety indices, each block group in Harris County was classified as high crime/high traffic; high crime/low traffic; low crime/high traffic; or low crime/low traffic. Recruitment attempted to get equal enrollment of participants from all four types of block groups (about 60 participants from each) and by the gender of the child.
Parents were recruited through various community organizations, events, and fliers posted in various locations; as well as the Children’s Nutrition Research Center (CNRC) website and bulletin boards, Baylor College of Medicine (BCM) website, CNRC newsletter, and phone calls to CNRC volunteer list members. Enrolled participants were asked to distribute fliers to Latino friends, relatives or neighbors with preschool aged children who may also be interested in the study. The most common ways enrolled participants reported learning about the study were fliers at clinics (36.3%), referred by friend or relative (29.2%), fliers in the community (13.3%), and contacted as part of the CNRC database (10.8%). Parents were enrolled if they met study criteria and provided written informed consent.
Parent and child descriptive characteristics
Whole sample (n = 240)
Reliability sub-sample (n = 48)
Accelerometer sub-sample (n = 84)
Relationship to child participant, n (%)
Other female relative
Age, mean (SD)
Born in the US, n (%)
Education, n (%)
< High School
> High School
Current employment status, n (%)
> 40 hr/wk
Total household income, n (%)
Primary language spoken in household, n (%)
Age, mean (SD)
Gender, n (%)
Born in the US, n (%)
Child physical activity (PA)
Sedentary, min/day (SD)
Light PA, min/day (SD)
Moderate-to-vigorous PA, min/day (SD)
Counts/min, mean (SD)
Similar to other studies [44–46], a sub-sample (n = 48, 20% of the total sample) was asked to complete the questionnaire a second time (two weeks later) to estimate the test-retest reliability of the instrument. A second sub-sample of parents (n = 85, 35%), with some overlap with the first, provided additional consent to have their 3-5 year old child wear data collection monitors, including an accelerometer for a week. All participants were offered the opportunity to participate in the test-retest and objective PA assessment components of the study. Participants who expressed interest were consecutively enrolled in the test-retest subsample until the pre-set quota (20%) was met. The goal was to also stratify children by neighborhood type and gender to qualify to participate in the objective PA assessment study sub-component and consecutively enrolled until the pre-set quota (35%) was met. The two sub-samples had similar demographic characteristics (Table 1). The study was approved by the Baylor College of Medicine Institutional Review Board. Participants received $20 in compensation for completing the questionnaires, and $20 if they completed the same questionnaires two weeks later. Participants whose preschool-aged child wore the monitors for one week received an additional $30 if the parent completed a monitor wear log during that week, and the data met quality criteria described below.
Eighty-five children wore Actigraph GT3X accelerometers recording at 15 second epochs on their right hip  on an elastic fitted belt for 7 days. One family withdrew during the study, and data were removed from further analyses, leaving a sample of 84. Parents were instructed to remove the monitors at night when the child was sleeping and when the child was bathing or swimming to avoid getting the monitors wet. Parents completed a monitor wear log for their child and the non-wear time reported by the parent was removed, along with consecutive “0” counts for ≥30 minutes. The accelerometer data were considered complete if after processing, there were ≥ 480 minutes of activity data/day for at least four days, including one or more weekend days. Allowing for re-wears, 82 (96%) children had valid data. Data were processed using Pate’s cut points for preschool children  with 0-37 counts/15 seconds defined as sedentary, 38-419 counts/15 seconds as light PA (LPA), 420-841 counts/15 seconds as moderate PA (MPA), and ≥ 842 counts/15 seconds as vigorous PA (VPA) [48, 49]. In addition, counts per minute (CPM) were used to assess overall daily activity. These cut-points have been validated with preschool children’s oxygen consumption during activities .
Confirmatory factor analyses (CFAs) based on the Maximum Likelihood Estimation method were used to assess the fit of the data to a priori models. Jöreskog and Sörbom’s iterative model-generating approach was used to re-specify the models and was guided by an inspection of standardized factor loadings, standardized residual covariances, univariate Langrage multiplier tests, Wald tests, multivariate outliers, and theoretical considerations . Global model fit was tested using the comparative fit index (CFI), the root mean square error of approximation (RMSEA), and the standardized root mean squared residual (SRMR) [51, 52]. According to Hu and Bentler , values supportive of good model fit are ≥0.95 for CFI, ≤0.06 for RMSEA, and ≤0.08 for SRMR. Given that the CFI is sensitive to the magnitude of correlations between variables , we treated CFI values ≥0.90 as indicative of acceptable levels of model fit if the other two fit indices met Hu and Bentler’s stricter criteria. We also reported the Satorra-Bentler scaled χ2 test (robust to violation to the normality of distribution assumption) . The following parameters were used to examine local fit of the models: standardized factor loadings, standardized residual covariances, univariate Langrage multiplier tests and Wald tests. Eqs 6.2 (Multivariate Software Inc., Encino, CA, 2010) was used to conduct CFAs.
Intra-class correlation coefficients (ICCs) were computed to establish the test-retest reliability of the PPAPP subscales and single items derived from the final measurement models. ICCs were computed using absolute-agreement in two-way random models . ICC values up to .20 denote poor reliability; .21-.40 fair reliability; .41-.60 moderate reliability; .61-.80 substantial level of reliability; and > .80 excellent reliability . Cronbach’s alpha coefficients and mean inter-item correlation were computed to establish the internal consistency of the subscales in the total sample. Cronbach’s alphas were also calculated separately for instruments completed in English and Spanish. Mean inter-item correlations were also calculated as a more straightforward assessment of internal consistency that is not item number sensitive, with values ranging from .15-.50 considered indicative of an adequate level of internal consistency .
Associations of PA parenting practice subscales/items with child PA were assessed using hierarchical regression analyses whereby accelerometer wear-time, child’s gender and child’s age (potential confounders) were entered in the regression models in a first step, and a specific parenting practice sub-scale/item was entered in a second step. The resulting increase in percent variance explained (R2) of PA after adding a parenting practice subscale/item was square-rooted to obtain a measure of confounder-adjusted measure of association between a specific PA measure and the parenting practice subscale/item. As daily minutes of vigorous PA was non-normally distributed (positively skewed), they were log-transformed for the purpose of these analyses. Significance was set at p < .10 given the exploratory nature of these last analyses in a relatively small sub-sample .
Confirmatory factor analyses
Fit indices of a priori of measurement models of parenting practices that encouraged or discouraged physical activity (PA) among Latino preschool children
Model fit indices (Poor Fitting Models)
Parenting practices encouraging PA
Parenting practices discouraging PA
Satorra-Bentler scaled χ2 (df = 85)
393.2; p < .001
Satorra-Bentler scaled χ2 (df = 74)
199.7; p < .001
RMSEA (95% CI)
0.07 (0.06, 0.07)
RMSEA (95% CI)
0.06 (0.03, 0.08)
Final measurement model of parenting practices that encourage Latino preschool children to be physically active and item characteristics (mean; standard deviation; skewness; corrected item-scale correlation: standardized loading)
How often do you…
Set an example for your child by exercising in front of him/her?
Play active games with your child (such as playing ball or racing)?
Go on a walk with your child?
Say positive things to motivate your child to be more active?
Play a sport or active game together as a family?
Give your child choices of what physical activities to do?
Allow your child to pick an active game to do together?
Dance with your child?
Play sports games with your child (such as soccer or baseball)?
Teach your child that being active is good for his/her health?
Take your child to the park?
Teach your child new and different ways to be active?
Take your child to sport practice or game in which he/she is enrolled?
Find age appropriate games that get your child moving?
Set time aside for active play?
Retained single items
Not register your child for sports or dance due to lack of money? (RC)
Have outdoor toys available for your child?
Allow your child to help you with chores?
Suggest that your child play outside?
Not have time to play outdoors with your child?
Let your child go outside to play around your home? (moved to discourage)
Model fit indices (Moderately-fitting model)
Satorra-Bentler scaled χ2 (df = 116)
p < .001
RMSEA (95% CI)
Final measurement model of parenting practices that discourage Latino preschool children to be physically active and item characteristics (mean; standard deviation; skewness; corrected item-scale correlation; standardized loading)
Promote screen time
Restriction for safety concern
How often do you…
Allow your child to watch TV for long periods of time?
Allow your child to play a lot of videogames?
Keep your child occupied by letting him/her watch TV?
Carry your child because he/she does not want to walk?
Drive your child, when it was easy to walk?
Push your child in a stroller instead of letting him/her walk?
Not let your child play actively for fear of him/her getting dirty?
Tell your child he/she is not good enough at sports or active games?
Tell your child he/she will get hurt if he/she plays actively?
Discipline your child for being too active?
Reward your child for being still?
Not let your child play outside because you are worried about traffic?
Not let your child play outside because you are worried about crime?
Not let your child play outside because you are worried about strangers?
Let your child go outside to play around your home?
Not let your child play outside
Keep your child occupied with quiet activities (such as board games and reading)?
Keep your child inside your home all day?
Model fit indices (Well fitting model)
Satorra-Bentler scaled χ2 (df = 88)
p < .05
RMSEA (95% CI)
Associations of parenting practices subscale scores with physical activity variables (partial correlation coefficients)
Parental engagement (LA-PAPP- Encouragement)
Not register your child for sports or dance due to lack of money (LA-PAPP- Encouragement; reverse scored)
Have outdoor toys available for child (LA-PAPP- Encouragement)
Safety concerns (LA-PAPP- Discouragement)
Promote inactivity (LA-PAPP- Discouragement)
Promote screen time (LA-PAPP- Discouragement)
Psychological control (LA-PAPP- Discouragement)
The measurement model of the PPAPP – Discouragement scale was re-specified by deleting three items with low communalities, defined as < |.30|, (all of which belonged to the Promote Inactivity sub-scale), and splitting the Promote Inactivity latent factors into two latent factors: Promote Inactivity and Promote Screen Time (Table 4; Figure 4). This resulted in four latent factors: Promote Screen Time (3 items), Promote Inactivity (3 items), Psychological Control (5 items), and Restriction for Safety Concerns (4 items). Promote Inactivity was positively related to Promote Screen Time (r = .27) and Psychological Control (r = .66). The final model fit the data well, with all indices meeting Hu and Bentler’s criteria  (Table 4).
Subscale test-retest and internal reliabilities
Test-retest reliability (n = 48)
Internal reliability (n = 240)
ICC (95% CI)
Average inter-item correlation
Practices that encourage child PA
Engagement (15 items)
0.85 (0.75, 0.91)
How often do you not register your child for sports or dance due to lack of money? (single item)
0.62 (0.41, 0.76)
How often do you have outdoor toys available for your child? (single item)
0.57 (0.34, 0.74)
Practices that discourage child PA
Promote inactivity (3 items)
0.59 (0.38, 0.85)
Promote screen time (3 items)
0.62 (0.41, 0.77)
Psychological control (5 items)
0.85 (0.75, 0.91)
Restriction for safety concerns (4 items)
0.56 (0.33, 0.73)
Correlation of PA parenting practice subscales with child PA
Several of the parenting practice subscale scores had significant (p < .10) correlations with children’s objectively measured PA (Table 5). Promote inactivity was negatively associated with children’s LPA and positively with sedentary time; and promote screen time negatively correlated with children’s LPA, MPA, and CPM; and positively correlated with children’s sedentary time (Table 5). While parental engagement was not correlated with children’s PA, the single items “Not register your child for sports or dance due to lack of money”, (reverse coded) was positively correlated with children’s LPA and MPA, and negatively correlated with children’s sedentary time; and “Have outdoors toys available for child”, was positively correlated with VPA and CPM. Psychological control was negatively related to sedentary time and positively related to MPA.
Given the prevalence of obesity among Latino children , and the protective effects of PA on obesity  and other health outcomes [60, 61], understanding how parents influence their children’s PA is critical to promote healthy lifestyles among families. Valid and reliable measures of PA parenting practices are needed to fully investigate such influences and assess the effects of family based PA interventions. This study demonstrated moderate-to-good factorial validity, moderate-to-excellent test-retest reliabilities, and acceptable internal consistency reliabilities of a new parent-report instrument with two independent scales for parenting practices that influence preschooler’s PA: the Encouraging and Discouraging PPAPP. One of the scales included parenting practices that encourage Latino preschool-aged children to be physically active. The other scale included parenting practices that discourage them from being physically active comprised of four factors: promote screen time, promote inactivity, psychological control, and restriction for safety concerns.
Although the existing literature on PA parenting practices has focused on practices intended to positively impact mostly older children’s PA [21, 62], this study demonstrated that among Latino preschool children, parenting practices can also discourage PA, as indicated by correlations of both the Promote Inactivity (p < .10) and the Promote Screen Time (p < .01) subscales with children’s objectively measured PA. Gubbels et al. have previously demonstrated that, among a Dutch sample of 5 year olds, parental restriction of sedentary time (measured by a 6-item non-validated subscale) was associated with parent reports of lower child PA . However, to our knowledge this is the first PA parenting scale that has included a subscale to assess whether parents promoted inactive transport among children, such as pushing them in a stroller or carrying them when they could have walked. Active transportation has been associated with adolescents’, but not children’s, PA . The initial exploratory analyses presented here suggest that parenting to promote inactive transport may be associated with less LPA among Latino preschoolers and warrants further investigation.
Also new in this PA parenting scale is the construct of psychological control by parents which may undermine or inhibit children’s PA. The construct of psychological control has been dominant in the developmental psychology parenting literature for decades  and suggested for PA parenting , but has not been assessed in the PA parenting literature. For this instrument, psychological control was created based on qualitative research with Latino parents who reported they believed that parents who criticize or insult their child, discipline their child for being active, or restrict their child’s activities for fear of them getting hurt tend to discourage their child from engaging in PA . It was found to be positively associated with Latino preschooler’s moderate PA and negatively associated with their sedentary time. In this cross-sectional study we cannot delineate whether psychological control causes young children to be more active, or whether parents whose children are more active are more likely to use psychological control.
The fourth sub-scale for Discouraging PPAPP was restriction for safety concerns. A systematic review demonstrated that neighborhood safety was associated with children’s PA ; and it is likely that this relationship is in part mediated by parents’ concerns about the safety of the environment in which they allow their child to play. The new subscale of Restriction for Safety Concerns will allow further exploration of this hypothesis. Future research in larger and/or longitudinal samples will need to identify whether these constructs are important social determinants of children’s PA.
The discouraging subscales had slightly lower mean scores compared to the encouraging scale or single items (Table 6), which may suggest that parents are less likely to use parenting practices that discourage PA, but when used they have an important negative impact on children’s PA. Alternatively, parents may be less likely to self-report using parenting practices that discourage their child from being active.
Parenting practices that encourage child PA included one subscale for parental engagement for child PA that represented parenting practices that are responsive and provide structure to support PA . Previous work in developmental psychology has demonstrated that parental involvement or engagement in children’s schooling mediated the positive effects of authoritative parenting on children’s school success . Similarly, parental engagement or involvement with young children’s PA may positively influence children to be physically active. The addition of two single items to the encouraging PA parenting practice scale suggests that these two items represent additional latent constructs that warrant further development with additional items. These two items [not register child for sport/dance due to lack of money (reverse coded); and have outdoor toys available for child] may be markers of parenting practices as well as living conditions, such as family income and/or type of residence. As such they may not represent actual parenting practices, but rather socio-economic factors that influence parenting behaviors.
This study has many strengths: the systemic development of the PA parenting practice scales were based on a proposed theoretical framework for PA parenting , qualitative studies with Latino parents of preschoolers ; extensive psychometric analyses of the new PPAPP scales were conducted; and the criterion validity was based on objectively-measured child PA. However, there are also limitations. The PPAPP is a self-report instrument and is therefore prone to reporting biases, including socially desirable responses. However, self-report instruments are needed to investigate the influence of parents on children’s PA in larger samples, since direct observations are costly and often impractical. Additional studies to assess the convergent validity of this instrument with parent behaviors using direct observations would help strengthen its validity. The parents completed the PPAPP in English or Spanish, but the sample size was not large enough to look at the factorial invariance separately for the two languages. Instead, Cronbach’s alphas were assessed separately for those who completed the questionnaire in English or Spanish. Some variations in Cronbach’s alphas were found with lower scores among some of the Spanish language sub-scales for Discouraging PA. It is possible this is due to differences in the robustness of those subscales by language. However, educational attainment was significantly lower among those who completed the questionnaire in Spanish than those who completed it in English. Participants with low educational attainment may have found it more difficult to respond to some of the items. Among older samples of children, mothers and fathers have different influences on their children’s PA [14, 20], suggesting their influence should be assessed separately. However, the scales should be developed for use with both mothers and fathers, which is why the samples were combined in this developmental study. Only a subsample of children wore the accelerometers which limited our ability to detect correlations of parenting practices subscales with children’s PA.
Future research should assess the predictive validity of the PPAPP on Latino preschool children’s PA in larger samples and the potential different influence by mothers and fathers on their same and different gendered children [14, 20]. In addition, the PPAPP instrument should be refined by expanding the single items in the Encourage PA scale to multiple-item subscale. The psychometrics and predictive validity of this scale should also be cross-validated in another Latino sample and assessed in other populations, such as Non-Hispanic white, African American, and Asian, to assess its usefulness for assessing PA parenting practices regardless of race or ethnicity.
The PPAPP had moderate-to-good factorial validity, moderate-to-excellent test-retest reliabilities, and acceptable internal reliabilities among a sample of Latino parents of preschool children. This new and preliminary instrument should be further evaluated to assess its association with children’s PA and offers a new research tool for measuring parenting practices among Latino families.
Baylor College of Medicine
Comparative fit analysis
Comparative fit index
Children’s Nutrition Research Center
Counts per minute
Intra-class correlation coefficient
Light physical activity
Moderate physical activity
Nominal group technique
Preschoolers’ PA Parenting Practices
Root mean square error of approximation
Standardized root mean-square residual
Vigorous physical activity.
This study was funded by NIH-Eunice Kennedy Shriver National Institute of Child Health & Human Development (R21HD060925). This work is a publication of the US Department of Agriculture (USDA/ARS) Children’s Nutrition Research Center, Department of Pediatrics, BCM through a cooperative agreement (USDA/ARS 6250-51000-053-20S). JAM was supported, in part, by a career development award (K07CA131178). The contents of this publication do not necessarily reflect the views or policies of the USDA or NIH, nor does mention of organizations imply endorsement from the US government.
The Spanish version is available upon request.
- Ogden C, Carroll M, Kit B, Flegal K: Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA. 2012, 307: 483-490. 10.1001/jama.2012.40.View ArticleGoogle Scholar
- Goran MI, Ball GD, Cruz ML: Obesity and risk of type 2 diabetes and cardiovascular disease in children and adolescents. J Clin Endocrinol Metab. 2003, 88: 1417-1427. 10.1210/jc.2002-021442.View ArticleGoogle Scholar
- Moore LL, Nguyen US, Rothman KJ, Cupples LA, Ellison RC: Preschool physical activity level and change in body fatness in young children. The Framingham Children’s Study. Am J Epidemiol. 1995, 142: 982-988.Google Scholar
- Jago R, Baranowski T, Baranowski JC, Thompson D, Greaves KA: BMI from 3-6 y of age is predicted by TV viewing and physical activity, not diet. Int J Obes (Lond). 2005, 29: 557-564. 10.1038/sj.ijo.0802969.View ArticleGoogle Scholar
- Trost SG, Sirard JR, Dowda M, Pfeiffer KA, Pate RR: Physical activity in overweight and nonoverweight preschool children. Int J Obes Relat Metab Disord. 2003, 27: 834-839. 10.1038/sj.ijo.0802311.View ArticleGoogle Scholar
- Pate RR, Baranowski T, Dowda M, Trost SG: Tracking of physical activity in young children. Med Sci Sports Exerc. 1996, 28: 92-96.View ArticleGoogle Scholar
- O’Connor TM, Jago R, Baranowski T: Engaging parents to increase youth physical activity: a systematic review. Am J Prev Med. 2009, 37: 141-149. 10.1016/j.amepre.2009.04.020.View ArticleGoogle Scholar
- Caspersen CJ, Powell KE, Christenson GM: Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985, 100: 126-131.Google Scholar
- National Association of Sports and Physical Education: Active start: A statement of physical activity guidelines for children from birth to age 5. http://www.aahperd.org/naspe/standards/nationalGuidelines/ActiveStart.cfm.
- Stokols D: Translating social ecological theory into guidelines for community health promotion. Am J Health Promot. 1996, 10: 282-298. 10.4278/0890-1171-10.4.282.View ArticleGoogle Scholar
- Bandura A: Health promotion by social cognitive means. Health Educ Behav. 2004, 31: 143-164. 10.1177/1090198104263660.View ArticleGoogle Scholar
- Welk GJ, Wood K, Morss G: Parental influences on physical activity in children: an exploration of potential mechanisms. Ped Exerc Sci. 2003, 15: 19-33.Google Scholar
- Darling N, Steinberg L: Parenting style as context: an integrative model. Psychol Bull. 1993, 113: 487-496.View ArticleGoogle Scholar
- Davison KK, Cutting TM, Birch LL: Parent’s activity-related parenting practices predict girls’ physical activity. Med Sci Sports Exerc. 2003, 35: 1589-1595. 10.1249/01.MSS.0000084524.19408.0C.View ArticleGoogle Scholar
- Jago R, Davison KK, Brockman R, Page AS, Thompson JL, Fox KR: Parenting style, parenting practices, and physical activity in 10-11 year olds. Prev Med. 2011, 52: 44-47. 10.1016/j.ypmed.2010.11.001.View ArticleGoogle Scholar
- Sleddens EF, Kremers SP, Hughes SO, Cross MB, Thijs C, De Vries NK, O’Connor TM: Physical activity parenting: a systematic review of questionnaires and their association with child activity levels. Obes Rev. 2012, 13: 1015-1033. 10.1111/j.1467-789X.2012.01018.x.View ArticleGoogle Scholar
- Gubbels JS, Kremers SP, Stafleu A, de Vries SI, Goldbohm RA, Dagnelie PC, de Vries NK, van Buuren S, Thijs C: Association between parenting practices and children’s dietary intake, activity behavior, and development of body mass index: the KOALA Birth Cohort Study. Int J Behav Nutr Phys Act. 2011, 8: 18-10.1186/1479-5868-8-18.View ArticleGoogle Scholar
- Sallis JF, Taylor WC, Dowda M, Freedson PS, Pate RR: Correlates of vigorous physical activity for children in grades 1 through 12: comparing parent-reported and objectively measured physical activity. Pediatr Exerc Sci. 2002, 14: 30-44.Google Scholar
- Oliver M, Schofield GM, Schluter PJ: Parent influences on preschoolers’ objectively assessed physical activity. J Sci Med Sport. 2010, 13: 403-409. 10.1016/j.jsams.2009.05.008.View ArticleGoogle Scholar
- Beets MW, Cardinal BJ, Alderman BL: Parental social support and the physical activity- related behaviors of youth: a review. Health Educ Behav. 2010, 37: 621-644. 10.1177/1090198110363884.View ArticleGoogle Scholar
- Edwardson CL, Gorely T: Activity-related parenting practices and children’s objectively measured physical activity. Pediatr Exerc Sci. 2010, 22: 105-113.Google Scholar
- Varela RE, Vernberg EM, Sanchez-Sosa JJ, Riveros A, Mitchell M, Mashunkashey J: Parenting style of Mexican, Mexican American, and Caucasian-non-Hispanic families: social context and cultural influences. J Fam Psychol. 2004, 18: 651-657.View ArticleGoogle Scholar
- Taverno SE, Rollins BY, Francis LA: Generation, language, body mass index, and activity patterns in Hispanic children. Am J Prev Med. 2010, 38: 145-153. 10.1016/j.amepre.2009.09.041.View ArticleGoogle Scholar
- O’Connor TM, Cerin E, Hughes SO, Robles J, Thompson D, Baranowski T, Lee RE, Nicklas T, Shewchuk RM: What Hispanic parents do to encourage and discourage 3-5 year old children to be active: a qualitative study using nominal group technique. Int J Behav Nutr Phys Act. 2013, 10: 93-10.1186/1479-5868-10-93.View ArticleGoogle Scholar
- Grolnick WS, Pomerantz EM: Issues and challenges in studying parental control: toward a new conceptualization. Child Dev Perspect. 2009, 3: 165-170. 10.1111/j.1750-8606.2009.00099.x.View ArticleGoogle Scholar
- Steinberg L, Lamborn SD, Dornbusch SM, Darling N: Impact of parenting practices on adolescent achievement: authoritative parenting, school involvement, and encouragement to succeed. Child Dev. 1992, 63: 1266-1281. 10.2307/1131532.View ArticleGoogle Scholar
- Hughes SO, O’Connor TM, Power TG: Parenting and children’s eating patterns: examining control in a broader context. Int J Child Adolesc Health. 2008, 1: 323-330.Google Scholar
- Weir LA, Etelson D, Brand DA: Parents’ perceptions of neighborhood safety and children’s physical activity. Prev Med. 2006, 43: 212-217. 10.1016/j.ypmed.2006.03.024.View ArticleGoogle Scholar
- de la Haye K, de Heer HD, Wilkinson AV, Koehly LM: Predictors of parent-child relationships that support physical activity in Mexican-American families. J Behav Med. 2012, Epub ahead of printGoogle Scholar
- O’Dwyer MV, Fairclough SJ, Knowles Z, Stratton G: Effect of a family focused active play intervention on sedentary time and physical activity in preschool children. Int J Behav Nutr Phys Act. 2012, 9: 117-10.1186/1479-5868-9-117.View ArticleGoogle Scholar
- Larios SE, Ayala GX, Arredondo EM, Baquero B, Elder JP: Development and validation of a scale to measure Latino parenting strategies related to children’s obesigenic behaviors. The parenting strategies for eating and activity scale (PEAS). Appetite. 2009, 52: 166-172. 10.1016/j.appet.2008.09.011.View ArticleGoogle Scholar
- Davison KK, Masse LC, Timperio A, Frenn MD, Saunders J, Mendoza JA, Gobbi E, Hanson P, Trost SG: Physical activity parenting measurement and research: challenges, explanations, and solutions. Child Obes. 2013, 9: S103-S109.Google Scholar
- Delbecq AL, Van de Ven AH, Gustafson DH: Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Processes. 1975, Scott Foresman: Glenview, ILGoogle Scholar
- MacPhail A: Nominal Group Technique: a useful method for working with young people. Br Educ Res J. 2001, 27: 161-170. 10.1080/01411920120037117.View ArticleGoogle Scholar
- Power TG: Parenting dimensions and styles: a brief history and recommendations for future research. Child Obes. 2013, 9: S14-S21.Google Scholar
- Edwards JR, Bagozzi RP: On the nature and direction of relationships between constructs and measures. Psychol Methods. 2000, 5: 155-174.View ArticleGoogle Scholar
- Dwyer J, Needham L, Simpson JR, Hennessey ES: Parents report intrapersonal, interpersonal, and environmental barriers to supporting healthy eating and physical activity among their preschoolers. Appl Physiol Nutr Metab. 2008, 33: 338-346. 10.1139/H07-195.View ArticleGoogle Scholar
- O’Connor T, Watson K, Hughes S, Beltran A, Hingle M, Baranowski J, Campbell K, Canal DJ, Lizaur AB, Zacarias I, Gonzalez D, Nicklas T, Baranowki T: Health professionals’ and dietetics practitioners’ perceived effectiveness of fruit and vegetable parenting practices across six countries. J Am Diet Assoc. 2010, 110: 1065-1071. 10.1016/j.jada.2010.04.003.View ArticleGoogle Scholar
- Baranowski T, Chen TA, O’Connor T, Hughes S, Beltran A, Frankel L, Diep C, Baranowski JC: Dimensions of vegetable parenting practices among preschoolers. Appetite. 2013, 69: 89-93.View ArticleGoogle Scholar
- Cognitive interviewing and questionnaire design: A training manual. Edited by: Willis GB. 1994, Hyattsville, MD: National Center for Health Statistics, Office of Research and Methodology, Cognitive Staff Working Paper SeriesGoogle Scholar
- Willis G: Analyzing and documenting cognitive interview results. Cognitive Interviewing: A Tool for Improving Questionnaire Design. Edited by: Shaw L. 2005, Thousand Oaks, CA: SAGE Publications, 151-174.Google Scholar
- Davison KK, Lawson CT: Do attributes of the physical environment influence children’s physical activity? A review of the literature. Int J Behav Nutr Phys Act. 2006, 3: 19-10.1186/1479-5868-3-19.View ArticleGoogle Scholar
- US Department of Commerce: United States Census Bureau. 2012, http://www.census.gov.Google Scholar
- Dickin KL, Lent M, Lu AH, Sequeira J, Dollahite JS: Developing a measure of behavior change in a program to help low-income parents prevent unhealthful weight gain in children. J Nutr Educ Behav. 2012, 44: 12-21. 10.1016/j.jneb.2011.02.015.View ArticleGoogle Scholar
- Chaidez V, Kaiser LL: Validation of an instrument to assess toddler feeding practices of Latino mothers. Appetite. 2011, 57: 229-236. 10.1016/j.appet.2011.05.106.View ArticleGoogle Scholar
- Hughes SO, Power TG, Orlet Fisher J, Mueller S, Nicklas TA: Revisiting a neglected construct: parenting styles in a child-feeding context. Appetite. 2005, 44: 83-92. 10.1016/j.appet.2004.08.007.View ArticleGoogle Scholar
- Cliff DP, Reilly JJ, Okely AD: Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0-5 years. J Sci Med Sport. 2009, 12: 557-567. 10.1016/j.jsams.2008.10.008.View ArticleGoogle Scholar
- Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M: Validation and calibration of an accelerometer in preschool children. Obesity. 2006, 14: 2000-2006. 10.1038/oby.2006.234.View ArticleGoogle Scholar
- van Cauwenberghe E, Labarque V, Trost SG, de Bourdeaudhuij I, Cardon G: Calibration and comparison of accelerometer cut points in preschool children. Int J Pediatr Obes. 2010, 6: e582-e589.View ArticleGoogle Scholar
- Jöreskog KG, Sörbom D: LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. 1993, Chicago, IL: Scientific Software InternationalGoogle Scholar
- Hu L, Bentler PM: Evaluating model fit. Structural Equation Modeling: Concepts, Issues, and Applications. Edited by: Hoyle RH. 1995, Thousand Oaks, CA: Sage Publications, 76-99.Google Scholar
- Kline RB: Principles and Practice of Structural Equation Modeling. 2005, New York, NY: Guilford Press, 2Google Scholar
- Satorra A, Bentler PM: A scaled difference chi-square test statistic for moment structure analysis. Psychometrika. 2001, 66: 507-514. 10.1007/BF02296192.View ArticleGoogle Scholar
- Shrout PE, Fleiss JL: Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979, 86: 420-428.View ArticleGoogle Scholar
- Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.View ArticleGoogle Scholar
- Clark LA, Watson D: Construct validity: basic issues in objective scale development. Psychol Assess. 1995, 7: 309-319.View ArticleGoogle Scholar
- Baghi H, Noorbaloochi S, Moore JB: Statistical and nonstatistical significance: implications for health care researchers. Qual Manag Health Care. 2007, 16: 104-112. 10.1097/01.QMH.0000267447.55500.57.View ArticleGoogle Scholar
- Bryant FB, Yarnold PR: Principal-components analysis and exploratory and confirmatory factor analysis. Reading and Understanding Multivariate Statistics. Edited by: Grimm LG, Yarnold PR. 1995, Washington, DC: APA, 99-136.Google Scholar
- Voss KE, Stem DE, Fotopoulos S: A comment on the relationship between coefficient alpha and scale characteristics. Mark Lett. 2000, 11: 177-191. 10.1023/A:1008146924781.View ArticleGoogle Scholar
- Boreham C, Twisk J, Murray L, Savage M, Strain JJ, Cran G: Fitness, fatness, and coronary heart disease risk in adolescents: the Northern Ireland Young Hearts Project. Med Sci Sports Exerc. 2001, 33: 270-274.View ArticleGoogle Scholar
- Schmitz KH, Jacobs DR, Hong CP, Steinberger J, Moran A, Sinaiko AR: Association of physical activity with insulin sensitivity in children. Int J Obes Relat Metab Disord. 2002, 26: 1310-1316. 10.1038/sj.ijo.0802137.View ArticleGoogle Scholar
- Pugliese J, Tinsley B: Parental socialization of child and adolescent physical activity: a meta-analysis. J Fam Psychol. 2007, 21: 331-343.View ArticleGoogle Scholar
- Carver A, Timperio AF, Hesketh KD, Ridgers ND, Salmon JL, Crawford DA: How is active transport associated with children’s and adolescents’ physical activity over time?. Int J Behav Nutr Phys Act. 2011, 8: 126-10.1186/1479-5868-8-126.View ArticleGoogle Scholar
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