The experience of life events and body composition in middle childhood: a population-based study
International Journal of Behavioral Nutrition and Physical Activity volume 18, Article number: 109 (2021)
While studies suggest potential influences of childhood adversities on obesity development in adulthood, less is known about the short-term association in children. We examined the association between a wide range of life events experienced in the first ten years of life (including maltreatment and milder adversities) and body composition in 5333 ten-year old Dutch children. In structured interviews, mothers retrospectively reported on their children’s experience of 24 events. BMI was calculated, and fat mass index and fat free mass index were determined by dual-x-ray absorptiometry scanning. Linear regressions showed that, unadjusted, a higher number of life events was associated with higher BMI and body composition. However, associations attenuated to non-significance after adjustment for covariates. Similar findings were observed for maltreatment and milder life events. Thus, the number of experienced life events was not associated with body composition in middle childhood. Rather, other factors, like socioeconomic conditions, accounted for the relationship between life events and weight development in children.
The experience of adversity in childhood can have lasting effects on people’s health and well-being throughout the life course [1, 2]. In this context, it is shown that adults who experienced adversity during childhood have a heightened risk of becoming overweight or obese [3, 4]. Proposed mechanisms for the relationship between early-life adversity and obesity in adults are mostly related to physical stress responses, DNA methylation in genes associated with obesity risk, disturbed emotion regulation, increased appetite and a tendency towards (emotional) overeating [5,6,7]. However, it is unclear whether exposure to adversities already affects weight gain in childhood. Two systematic reviews including studies in children and adolescents reported opposing findings [3, 8], and more recent studies continued to report inconsistent findings [9,10,11,12,13,14]. Most of these studies focused solely on maltreatment (including physical, emotional and sexual abuse or neglect) or other severe adversities such as parental incarceration or domestic violence [3, 9,10,11, 14], while milder and more common life events, which may also induce the experience of stress, such as peer problems, changing schools, and parental conflict, were often not considered. Finally, only one study examined Fat Mass Index (FMI) and android fat percentage as indicators of adiposity in adolescents and observed no association with lifetime exposure to adversity . In this population-based study, we examined the association between the number of experienced life events in the first ten years of life and body composition in 5333 ten-year-old children.
This study was embedded in The Generation R Study, a multi-ethnic, population-based cohort in Rotterdam, the Netherlands . The Medical Ethical Committee of the Erasmus Medical Center approved the study. Consent for the examination at age 10 years was obtained from parents of 7393 children, of whom 5862 children visited the research center. The final study population consisted of 5333 children with information on life events and body composition.
Mothers were interviewed by trained research assistants about their offspring’s experience of life events. This retrospective, structured interview included 24 events. This interview was similar to a previous assessment in TRAILS, another Dutch cohort of young adolescents . TRAILS based the selection of events on life events in previous questionnaires, including the Life Event Checklist , and subsequently adapted and added events to match the age of the participants, cohort design and cohort characteristics, as many life events that are assessed in validated questionnaires [18, 19] were not applicable for young adolescents. Examples of events in this interview are parental separation, conflicts, illness, transferring schools and sexual and physical abuse. The total number of experienced life events was calculated, ranging from 0 to 24. Life events that were possibly related to each other (such as divorce, financial problems and conflict within the family) were counted as separate events. Multiple occurrences were not taken into account, but if this applied, mothers were asked to report on the most severe event. In addition to the total number of events, a separate score was created for the experience of physical abuse, sexual abuse or threat (maltreatment) versus milder life evens (all events except for maltreatment). The total number of events and of milder events were included in the analyses as continuous variables, while maltreatment was studied as a binary variable given the highly skewed distribution. In Additional Table 1, the prevalence of each event in the sample is reported.
Child height was measured using a Harpenden stadiometer and weight was measured using a mechanical personal scale (SECA), without shoes and heavy clothing. From this, BMI was calculated as well as sex- and age-adjusted Body Mass Index (BMI) SD scores according to Dutch reference growth curves . Further, body fat mass and fat free mass were assessed by Dual-energy-X-ray-Absorptiometry scanning (iDXA, GE-LUNAR, 2009, Madison, WI, USA). Sex- and age-adjusted FMI and Fat Free Mass Index (FFMI) SD scores were calculated based on all available data at age ten years.
Based on previous literature, potential confounders were considered. During pregnancy, mothers and fathers each filled out questionnaires including assessments of: country of birth, from which child ethnicity was derived; highest level of obtained education of both parents; household income; and parental psychiatric symptoms as assessed with the validated Brief Symptom Inventory . Fathers reported their weight and height by questionnaire, from which paternal BMI was calculated. During early pregnancy, mothers’ height and weight were measured by research staff, from which maternal BMI was calculated. Children’s birth weight and sex were derived from medical records.
Differences in sample characteristics by the number of life events were examined with Chi Square tests, one-way ANOVAs or Kruskall-Wallis tests. Furthermore, correlations between the number of life events, body composition and covariates were examined with Pearson, Spearman Rank and Cramer’s V statistics. The relationship between life events and body composition at ten years was examined with multivariable linear regression analyses (separate analyses for BMI, BMI SD score, FMI SD score and FFMI SD score). Two models were created: the first model was unadjusted (for BMI, sex- and age adjusted), and a second model adjusted for all covariates described above except for paternal BMI, which did not influence the association by more than 5%. These models were rerun to test the relation of maltreatment or milder events with body composition. Three sensitivity analyses were conducted: analyses were repeated 1) excluding events related to socioeconomic conditions, 2) in which we only included events that had a moderate or high negative perceived impact at the time of the interview according to the mother and 3) in which only events experienced before the age of 6 years was studied in relation to the change (delta) in body composition from 6 to 10 years. Missings on covariates were estimated with multiple imputation and pooled results from 20 datasets are presented. All analyses were performed with IBM SPSS Statistics 25.
Sample characteristics are presented in Table 1. Mothers reported that on average, children experienced 4.3 life events (SD = 2.6) until the age of 10 years. Children who experienced 6 or more events (27%) were more likely to have a Non-Western background and a low household income than children who experienced 0–2 life events. Moreover, parents of children with more life events also reported more psychiatric symptoms and mothers had a higher BMI, while no differences in paternal BMI were observed. Correlations between the number of life events, body composition and covariates are presented in Additional Table 2.
Table 2 presents the association between the number of life events and body composition. The number of experienced events was positively associated with BMI, BMI SD score, FMI SD score and FFMI SD score (for instance, FMI SD score: B per event = 0.03, 95% CI = 0.02, 0.04) in children. However, after adjustment for confounders, the associations attenuated to statistical non-significance. Maternal education and psychopathology symptoms, as well as household income mostly accounted for this attenuation (not tabulated). Similar results were observed for mild life events and maltreatment as separate predictors. Sensitivity analyses (1. without socioeconomic related life events; 2. after excluding life events with a low perceived impact; 3. after only including life events prior to the age of 6 years with the change in body composition from 6 to 10 years) also indicated similar patterns of associations (Additional Tables 3–5).
Results of this population-based study using retrospective information on life events, suggest that the amount of events children experienced in the first 10 years of life was not associated with BMI, FMI or FFMI at the age of 10 years. Our findings indicate that the relationship between life events and obesity development in children was accounted for by other factors, of which parental socioeconomic indicators and psychopathological symptoms of the mother during pregnancy were most important.
Our findings are in line with several other studies that reported mostly no association between the experience of severe adversity and weight status in childhood or adolescence [3, 9, 13]. This incongruence with the robust findings in adults might entail that weight-related consequences of stressful events during childhood appear only later in life . The long-term associations in adults are potentially explained by underlying biological and behavioral mechanisms that are activated during childhood or adolescence, including elevated inflammation and cortisol or emotional eating, that may have a cumulative effect that only becomes visible years later [6, 22].
Results showed that the association between life events and body composition was explained by other factors, including socioeconomic conditions and maternal psychopathology. Some of the events included in this study, namely financial difficulties, neighborhood problems or involuntarily unemployment, might be strongly associated with socioeconomic conditions of the family. Yet, the sensitivity analysis in which these socioeconomic-related events were removed from the total events resulted in similar findings. In line with our findings, two population-based studies on early-life abuse and adolescent obesity risk also reported that the relationship was accounted for by other factors, including socioeconomic status [9, 13]. For non-abusive adversity, it was suggested that interventions focusing on improving socioeconomic conditions may protect against obesity .
Strengths of this study were the assessment of a broad range of events, the assessment of body composition and a large sample size. However, although the life events interview was similar to a previous assessment in another cohort, this interview was not validated. Moreover, in our analyses, different adverse events were equally weighted, while it can be hypothesized that one event might affect a child more than other events. Likewise, lasting or repeated events might also be more harmful as compared to single occurrences. Yet, (the tendency towards) physical and sexual abuse are highly stressful events that were not associated with body composition. Furthermore, the sensitivity analysis in which only events with a moderate or high perceived impact were included also showed similar null findings after careful adjustment. Finally, this study relied on a mother-report of adversity which could have resulted in socially desirable answers. Although the interviewers were trained to create a trustful environment, some mothers might have avoided to confirm the occurrence of certain events resulting in an underreport of events.
In conclusion, in this population-based cross-sectional study of ten-year-old children, no association between the experience of life events and body composition was observed. This suggests that other factors than the experience of life events explain the obesity epidemic in children.
Availability of data and materials
The data that support the findings of this study are available from data management Generation R but restrictions apply to the availability of these data, which were used under license for the current study, and are therefore not publicly available. Data are, however, available from the authors upon reasonable request and with permission of Vincent Jaddoe. Interested researchers may contact Vincent Jaddoe (firstname.lastname@example.org).
Body Mass Index
Fat Mass Index
Fat Free Mass Index
Suglia SF, Koenen KC, Boynton-Jarrett R, et al. Childhood and adolescent adversity and cardiometabolic outcomes: a scientific statement from the American Heart Association. Circulation. 2018;137(5):e15–28.
Sheikh MA, Abelsen B, Olsen JA. Clarifying associations between childhood adversity, social support, behavioral factors, and mental health, health, and well-being in adulthood: a population-based study. Front Psychol. 2016;7:727.
Danese A, Tan M. Childhood maltreatment and obesity: systematic review and meta-analysis. Mol Psychiatry. 2014;19(5):544–54.
Wiss DA, Brewerton TD. Adverse childhood experiences and adult obesity: a systematic review of plausible mechanisms and meta-analysis of cross-sectional studies. Physiol Behav. 2020;223:112964.
Kaufman J, Montalvo-Ortiz JL, Holbrook H, et al. Adverse childhood experiences, epigenetic measures, and obesity in youth. J Pediatr. 2018;202:150-6.e3.
Michopoulos V, Powers A, Moore C, Villarreal S, Ressler KJ, Bradley B. The mediating role of emotion dysregulation and depression on the relationship between childhood trauma exposure and emotional eating. Appetite. 2015;91:129–36.
Hemmingsson E. Early childhood obesity risk factors: socioeconomic adversity, family dysfunction, offspring distress, and junk food self-medication. Curr Obes Rep. 2018;7(2):204–9.
Elsenburg LK, van Wijk KJE, Liefbroer AC, Smidt N. Accumulation of adverse childhood events and overweight in children: a systematic review and meta-analysis. Obesity. 2017;25:820–32.
Hawton K, Norris T, Crawley E, Shield JPH. Is child abuse associated with adolescent obesity? A population cohort study. Child Obes. 2018;14(2):106–13.
McKelvey LM, Saccente JE, Swindle TM. Adverse childhood experiences in infancy and toddlerhood predict obesity and health outcomes in middle childhood. Child Obes. 2019;15(3):206–15.
Davis L, Barnes AJ, Gross AC, Ryder JR, Shlafer RJ. Adverse childhood experiences and weight status among adolescents. J Pediatr. 2019;204:71-6.e1.
Gardner R, Feely A, Layte R, Williams J, McGavock J. Adverse childhood experiences are associated with an increased risk of obesity in early adolescence: a population-based prospective cohort study. Pediatr Res. 2019;86(4):522–8.
Soares ALG, Matijasevich A, Menezes AMB, et al. Adverse Childhood Experiences (ACEs) and adiposity in adolescents: a cross-cohort comparison. Obesity. 2018;26(1):150–9.
Gooding HC, Milliren C, Austin SB, Sheridan MA, McLaughlin KA. Exposure to violence in childhood is associated with higher body mass index in adolescence. Child Abuse Negl. 2015;50:151–8.
Kooijman MN, Kruithof CJ, van Duijn CM, et al. The Generation R Study: design and cohort update 2017. Eur J Epidemiol. 2016;31(12):1243–64.
Amone-P’Olak K, Ormel J, Huisman M, Verhulst FC, Oldehinkel AJ, Burger H. Life stressors as mediators of the relation between socioeconomic position and mental health problems in early adolescence: the TRAILS study. J Am Acad Child Adolesc Psychiatry. 2009;48(10):1031–8.
Duggal S, Malkoff-Schwartz S, Birmaher B, Anderson BP, Matty MK, Houck PR, Bailey-Orr M, Williamson DE, Frank E. Assessment of life stress in adolescents: self-report versus interview methods. J Am Acad Child Adolesc Psychiatry. 2000;39(4):445–52.
Sarason IG, Johnson JH, Siegel JM. Assessing the impact of life changes: development of the life experiences survey. J Consult Clin Psychol. 1978;46(5):932–46.
Kubany ES, Haynes SN, Leisen MB, Owens JA, Kaplan AS, Watson SB, Burns K. Development and preliminary validation of a brief broad-spectrum measure of trauma exposure: the Traumatic Life Events Questionnaire. Psychol Assess. 2000;12(2):210–24.
Fredriks AM, van Buuren S, Burgmeijer RJ, et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatr Res. 2000;47(3):316–23.
Derogatis LR. BSI: brief symptom inventory: administration, scoring, and procedures manual. Minneapolis: National Computer Systems Inc; 1993.
Kuhlman KR, Chiang JJ, Horn S, Bower JE. Developmental Psychoneuroendocrine and psychoneuroimmune pathways from childhood adversity to disease. Neurosci Biobehav Rev. 2017;80:166–84.
Font SA, Maguire-Jack K. Pathways from childhood abuse and other adversities to adult health risks: The role of adult socioeconomic conditions. Child Abuse Negl. 2016;51:390–9.
The Generation R Study is conducted by the Erasmus Medical Center in close collaboration with the Erasmus University Rotterdam, School of Law and Faculty of Social Sciences, the Municipal Health Service Rotterdam area, Rotterdam, the Rotterdam Homecare Foundation, and the Stichting Trombosedienst and Artsenlaboratorium Rijnmond, Rotterdam. We gratefully acknowledge the contribution of general practitioners, hospitals, midwives, and pharmacies in Rotterdam.
The general design of Generation R Study is made possible by financial support from the Erasmus Medical Center and the Erasmus University Rotterdam, the Netherlands Organization for Health Research and Development (ZonMw), the Netherlands Organisation for Scientific Research (NWO), the Ministry of Health, Welfare and Sport and the Ministry of Youth and Families. The current study was made possible by grants from the Dutch Diabetes Foundation (2013.81.1664 to Pauline W. Jansen) and the Netherlands Organization for Health Research and Development (Mental Health Care Research Program, Fellowship 636320005 to Pauline W. Jansen). The funders had no role in the design and conduct of the study or the writing of the report.
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Written informed consent was obtained from all participants and the Medical Ethical Committee of the Erasmus Medical Center approved the study (MEC-2012–165).
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: Additional Table 1. Frequency of life events in the study sample at the age of ten years (n=5333). Additional Table 2. Correlations between the number of life events, body composition and covariates. Additional Table 3. Associations between the number of life events, without socioeconomic-related life events, during childhood and body composition at ten years. Additional Table 4. Associations between the number of life events rated as influential by mothers and body composition at ten years. Additional Table 5. Associations between the number of life events from 0 to 5 years and the change in body composition from 6 to 10 years.
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Derks, I.P.M., Hannani, S., Vehmeijer, F.O.L. et al. The experience of life events and body composition in middle childhood: a population-based study. Int J Behav Nutr Phys Act 18, 109 (2021). https://doi.org/10.1186/s12966-021-01188-7