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Childhood maltreatment (CM) is a serious problem for children’s future development. The incidence of childhood maltreatment (CM) among college students in China was 64.7 percent, with the highest prevalence observed for emotional neglect (60.0%) and the lowest for sexual abuse (15.7%)[1]. A growing body of evidence suggests that CM related to multiple physical and mental health outcomes, such as depression and anxiety, especially in obesity [2].
Obesity among adults is one of the major health concerns. WHO estimates that more than 1.3 billion adults worldwide are overweight, and a further 600 million are obese[3]. Body mass index (BMI) measures general obesity (ie, abnormal or excessive fat accumulation), abdominal obesity is fat accumulation under the skin of the abdomen or in the internal organs of the abdomen [4]. Measures of abdominal obesity are better predictors of cardiovascular disease and all-cause mortality than is general obesity[4].
Although numerous previous studies have established a positive correlation between CM and adult obesity, several key questions remain that warrant further exploration. First, whether the effects of the five types of childhood abuse on obesity in adulthood uniform or heterogeneous? Evidence suggests that all five types of CM are positively associated with BMI in adulthood, but others believed there was no significant association between physical neglect or abuse, sexual abuse and adult obesity (BMI), among the various types of child abuse[5]. Second, whether the associations between subtypes of child maltreatment and obesity indexes differ across sexes? Previous studies have shown that childhood physical abuse in girls was not associated with obesity in adulthood, but recent studies have shown the specificity of physical and sexual abuse appeared to be stronger among females[6]. In addition, the social context and cultural background of China differ from those of Western countries, which might impact the relationship between CM and obesity. For example, unlike in Western countries, Chinese parents prefer physically punitive education, which increases the risk of childhood somatic abuse and may affect obesity indicators in adulthood. Third, is there an interaction effect between recent adverse life events and CM on obesity indexes? Previous research indicates a connection between childhood maltreatment and obesity, suggesting that more recent adversities may exert a different influence on health than remote ones, including factors like depressive symptoms, anxiety, and pain[5]. Stressful events occurring in the past six months had a more pronounced impact on neuroticism levels compared to distant events, with neuroticism levels serving as crucial predictors of both mental and physical health issues. There was a close link between early and recent adversity experiences, showing an interaction at the level of recent adverse events which heightened the risk of mental health problems. Nonetheless, limited research has delved into the repercussions of recent adverse life events on obesity.
In summary, exposure to CM might be associated with obesity in early adulthood. There is a variation in the prevalence of obesity and childhood abuse across different countries, and the relationship between types of CM and obesity indicators has not been validated among individuals in early adulthood in China. To address this gap, our study employed a linear regression model to explore the associations among CM, obesity, and recent adverse life events.
We recruited college students via flyers and posters between October and November 2023. There were 337 college students from Anhui Medical University (Hefei, Anhui, China) in this study. All enumerators were uniformly trained before the survey. We provided a self-administered questionnaire on adolescent mental health behaviors, which collected information regarding general demographic characteristics (Supplementary Table S1, available in www.besjournal.com). The study protocol was approved by the ethics committee of Anhui Medical University (No. 20210355), and informed consent was obtained from all participants. Moreover, the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to report observational data (Supplementary Table S2, available in www.besjournal.com).
Table S1. Description of the sample characteristics.
Variables Total (n=305) Males (n=152) Females (n=153) Age, Mean (SD) 18.94 (0.71) 18.90 (0.75) 18.98 (0.67) Only child Yes 89 (29.2) 47 (30.9) 42 (27.5) No 216 (70.8) 105 (69.1) 111 (72.5) Residential area Rural 196 (64.3) 96 (63.2) 100 (65.4) Urban 109 (35.7) 56 (36.8) 96 (63.2) Family type Nuclear family 203 (66.6) 108 (71.1) 95 (62.1) Single-parent family 23 (7.5) 11 (7.2) 12 (7.8) Extended family 79 (25.9) 33 (21.7) 46 (30.1) Family economic Less than 5000 80 (26.2) 31 (20.4) 49 (32.0) 5000-10,000 124 (40.7) 61 (40.1) 63 (41.2) More than10,000 101 (33.1) 60 (39.5) 34 (26.8) Mother’s education level Primary and below 96 (31.5) 52 (34.2) 44 (28.8) Junior middle 126 (41.3) 61 (40.1) 65 (42.5) Senior middle 83 (27.2) 39 (25.7) 44 (28.8) Father’s education level Primary and below 58 (19.0) 28 (18.4) 30 (19.6) Junior middle 122 (40.0) 61 (40.1) 61 (39.9) Senior middle 125 (41.0) 63 (41.4) 62 (40.5) Smoke Yes 8 (5.3) 8 (2.6) 0 (0) No 297 (97.4) 144 (94.7) 153 (100) Drink Yes 97 (31.8) 73 (48.0) 24 (15.7) No 208 (68.2) 79 (52.0) 129 (84.3) EA score, Mean (SD) 5.87 (2.30) 6.05 (2.93) 5.70 (1.42) PA score, Mean (SD) 5.51 (2.24) 5.79 (3.01) 5.25 (0.92) SA score, Mean (SD) 5.34 (1.95) 5.57 (2.70) 5.12 (0.50) EN score, Mean (SD) 5.55 (2.26) 5.72 (2.77) 5.38 (1.57) PN score, Mean (SD) 5.60 (2.13) 5.71 (2.76) 5.48 (1.22) VFA, Mean (SD) 68.89 (35.35) 63.23 (39.52) 74.51 (29.73) BMI, Mean (SD) 22.49 (3.92) 23.36 (4.59) 21.63 (2.87) PBF, Mean (SD) 25.36 (8.24) 20.77 (7.88) 29.93 (5.67) FM, Mean (SD) 16.50 (7.28) 15.66 (8.74) 17.33 (5.37) WC, Mean (SD) 80.17 (10.29) 82.98 (12.04) 77.37 (7.21) Hipline, Mean (SD) 93.36 (7.48) 94.02 (8.71) 92.70 (5.96) WHR, Mean (SD) 0.86 (0.070) 0.88 (0.08) 0.83 (0.04) ASLEC, Mean (SD) 41.61 (17.69) 45.42 (21.04) 37.83 (12.53) Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. ASLEC, Adolescent Self-Rating Life Events Checklist. Table S2. STROBE Statement-checklist of items that should be included in reports of observational studies.
Item No. Recommendation Page No. Title and abstract 1 (a) Indicate the study’s design with a commonly used term in the title or the abstract 1 (b) Provide in the abstract an informative and balanced summary of what was done and what was found None. Introduction Background/rationale 2 Explain the scientific background and rationale for the investigation being reported 2 Objectives 3 State specific objectives, including any prespecified hypotheses 2 Methods Study design 4 Present key elements of study design early in the paper 3-4 Setting 5 Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection 3-4 Participants 6 (a) Cohort study—Give the eligibility criteria, and the sources and methods of selection of participants. Describe methods of follow-up
Case-control study—Give the eligibility criteria, and the sources and methods of case ascertainment and control selection. Give the rationale for the choice of cases and controls
Cross-sectional study—Give the eligibility criteria, and the sources and methods of selection of participants3-4 (b) Cohort study—For matched studies, give matching criteria and number of exposed and unexposed
Case-control study—For matched studies, give matching criteria and the number of controls per caseNone. Variables 7 Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable 3-4 Data sources/ measurement 8* For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group 3-4 Bias 9 Describe any efforts to address potential sources of bias Not reported Study size 10 Explain how the study size was arrived at 3 Quantitative variables 11 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why 3-4 Statistical methods 12 (a) Describe all statistical methods, including those used to control for confounding 4 (b) Describe any methods used to examine subgroups and interactions 4 (c) Explain how missing data were addressed 4 (d) Cohort study—If applicable, explain how loss to follow-up was addressed
Case-control study—If applicable, explain how matching of cases and controls was addressed
Cross-sectional study—If applicable, describe analytical methods taking account of sampling strategy4 (e) Describe any sensitivity analyses Not reported Results Participants 13* (a) Report numbers of individuals at each stage of study—eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analysed 4, Table S1 (b) Give reasons for non-participation at each stage 3, Figure s1 (c) Consider use of a flow diagram Figure S1 Descriptive data 14* (a) Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders 4-5 (b) Indicate number of participants with missing data for each variable of interest Figure S1 (c) Cohort study—Summarise follow-up time (eg, average and total amount) None, Outcome data 15* Cohort study—Report numbers of outcome events or summary measures over time Case-control study—Report numbers in each exposure category, or summary measures of exposure Cross-sectional study—Report numbers of outcome events or summary measures 4-5 Main results 16 (a) Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and why they were included Table 2 (b) Report category boundaries when continuous variables were categorized None. (c) If relevant, consider translating estimates of relative risk into absolute risk for a meaningful time period Not reported Discussion Key results 18 Summarise key results with reference to study objectives 4-5 Limitations 19 Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias 4-5 Interpretation 20 Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence 4-5 Generalisability 21 Discuss the generalisability (external validity) of the study results 4-5 Other information Funding 22 Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based 1 Note. *Give information separately for cases and controls in case-control studies and, if applicable, for exposed and unexposed groups in cohort and cross-sectional studies. The inclusion criterion was as follows: freshmen of the School of Public Health, Anhui Medical University, China (aged ≥ 18 years). Exclusion criteria included severe liver/kidney disease, physical disability, serious injury or infection, use of psychotropic drugs, and incomplete questionnaire data. Individuals with incomplete information on CM (n = 12) and those with missing body composition measurements (n = 20) were excluded from this study. Finally, 305 participants (aged ≥ 18 years) were included in this study (Supplementary Figure S1, available in www.besjournal.com).
The Chinese version of the Childhood Trauma Questionnaire-Short Form (CTQ-SF) was used to assess CM[7]. The CTQ-SF evaluates five dimensions, encompassing emotional abuse, physical abuse, sexual abuse, emotional neglect and physical neglect. Participants rated their responses to each question on a 5-point Likert scale, yielding total scores on the five dimensions ranging from 25 to 125. Higher scores indicate that participants have experienced severe child maltreatment (Cronbach α = 0.86).
Two research assistants guided participants through the questionnaire. Height and weight were measured using appropriate devices, with participants asked to remove their shoes before measurement. Height readings were expressed in centimeters and weight in kilograms. The result is averaged twice. Waist circumference (WC) was measured by the researchers at the fullest part of the buttocks. Participants were instructed to stand upright with legs together and arms naturally hanging down, and a tape measure was placed horizontally from the pubic symphysis to the most convex point of the gluteus maximus muscle.
Trained researchers carefully measured participants’ body composition using the InBody S10 (InBody Corp., Seoul, Korea), a medical grade body composition analyzer, that utilizes advanced technology, including an 8-point tactile electrode system, direct segmented measurement, and multifrequency analysis. Data on abdominal obesity indexes, including fat mass (FM), body fat percentage (PBF), WC, abdominal visceral fat area (VFA), waist-hip ratio (WHR), and general obesity index such as body mass index (BMI) were recorded by the monitor, which is seamlessly integrated with telemedicine software for efficient storage in each participant’s electronic health record.
The Chinese version of the Adolescent Self-Rating Life Events Checklist (ASLEC) comprises 27 negative life events specifically tailored to evaluate recent mental experiences in adolescents[8]. The ASLEC scale encompasses 6 factors, including interpersonal relationships, academic pressure, punishment, loss, health adaptation, and other factors. Each item is rated on a six-point Likert scale, ranging from 0 to 5. By summing up all experienced events, the total number of negative life events encountered by the respondent can be calculated, with a higher total score indicating elevated stress levels (Cronbach α = 0.93).
Drawing from prior research[9], we incorporated the following covariates into our analysis: age, gender (male, female), family type (nuclear family, single-parent family or extended family), family economic status (< 5,000 yuan, 5,000–10,000 yuan, or > 10,000 yuan), parental educational attainment (primary school and below, junior high school, or senior high school), smoking habits (≥ 1 smoking episodes in the last 30 days, yes or no), and drinking habits (≥1 incidents of alcohol consumption in the last 30 days, yes or no).
The data is depicted as mean ± SD or median (interquartile range). For discrete variables, absolute frequency, percentage, and 95% confidence intervals were computed. Variances in different parameters between two groups were assessed using the unpaired t-test, while the Fisher exact test was employed to compare frequencies between the two groups. To test for a potential association between CM and adiposity indicators, linear regression models were used to obtain β coefficients and 95% CIs for changes in adiposity indicators. Sex-stratified linear regression analyses were conducted to assess the correlation between CM and indicators of obesity in early adulthood after adjusting for covariates. To assess the effect of recent adverse life events on this relationship, linear regression analyses were performed to assess the correlation between CM, recent adverse life events, and indicators of obesity in adulthood after adjusting for covariates and to calculate the β-value. All analyses were performed with SPSS (version 27.0; IBM Corp). A two-sided P value of ≤ 0.05 was considered statistically significant.
This study assessed the association between five dimensions of CM and obesity indicators through multiple comparisons. To reduce the risk of a type I error, a 99% CI was used for the effect size of each dimension analyzed. After adjusting for covariates, emotional abuse demonstrated a stronger association with obesity indicators (VFA, BMI, PBF, FM, WC, and hipline). Physical abuse and emotional neglect were associated with two obesity indicators each (physical abuse: FM and hipline; emotional neglect: BMI and hipline). Sexual abuse showed an association only with hipline, however, no significant associations were found between somatic neglect and obesity indicators. Table 1 provides further details. It is well established that individuals who have experienced CM often adopt unhealthy lifestyle behaviors, such as detrimental exercise patterns and poor dietary habits, which can substantially contribute to obesity.
Table 1. Association of different types of child maltreatment with obesity indicators
Variables EA PA SA EN PN β (CI) P β (CI) P β (CI) P β (CI) P β (CI) P 99%CI; P ≤ 0.01 VFA 29.090
(5.335, 52.845)0.002 15.223
(−11.793,42.239)0.145 19.989
(−11.518,51.495)0.101 18.835
(−7.760,45.430)0.067 7.688
(−18.361,33.736)0.445 BMI 4.255
(1.687,6.824)< 0.001 2.917
(−0.022,5.857)0.011 2.884
(−0.559,6.327)0.031 3.253
(0.362,6.144)0.004 2.176
(−0.664,5.016)0.048 PBF 6.208
(1.516,10.900)< 0.001 2.666
(−2.690,8.022)0.198 3.729
(−2.516,9.973)0.123 3.933
(−1.331,9.198)0.054 1.964
(−3.193,7.120)0.324 FM 7.273
(2.368,12.177)< 0.001 4.470
(−1.131,10.071)0.039 5.295
(−1.242,11.832)0.037 5.201
(−0.308,10.709)0.015 3.063
(−2.343,8.468)0.143 WC 8.623
(1.891,15.355)0.001 5.407
(−2.246,13.059)0.068 6.249
(−2.685,15.183)0.071 5.926
(−1.613,13.465)0.042 2.840
(−4.548,10.229)0.320 Hipline 6.763
(1.796,11.729)< 0.001 6.802
(1.206,12.397)0.002 6.530
(−0.039,13.099)0.010 6.090
(0.553,11.627)0.005 4.510
(−0.920,9.939)0.032 WHR 0.025
(−0.020,0.070)0.146 −0.011
(−0.062,0.039)0.567 −0.002
(−0.061,0.058)0.947 0.004
(−0.046,0.053)0.852 −0.016
(−0.065,0.033)0.394 95%CI; P ≤0.05 VFA 29.090
(11.059,47.121)0.002 15.223
(−5.283,35.729)0.145 19.989
(−3.926,43.903)0.101 18.835
(−1.351,39.021)0.067 7.688
(−12.084,27.460)0.445 BMI 4.255
(2.306,6.205)< 0.001 2.917
(0.686,5.149)0.011 2.884
(0.271,5.498)0.031 3.253
(1.059,5.447)0.004 2.176
(0.021,4.332)0.048 PBF 6.208
(2.646,9.769)< 0.001 2.666
(−1.399,6.731)0.198 3.729
(−1.011,8.468)0.123 3.933
(−0.063,7.929)0.054 1.964
(−1.950,5.878)0.324 FM 7.273
(3.550,10.995)< 0.001 4.470
(0.219,8.721)0.039 5.295
(0.333,10.257)0.037 5.201
(1.019,9.382)0.015 3.063
(−1.040,7.166)0.143 WC 8.623
(3.513,13.733)0.001 5.407
(−0.402,11.215)0.068 6.249
(−0.532,13.031)0.071 5.926
(0.204,11.649)0.042 2.840
(−2.768,8.449)0.320 Hipline 6.763
(2.993,10.532)< 0.001 6.802
(2.554,11.049)0.002 6.530
(1.544,11.516)0.010 6.090
(1.887,10.293)0.005 4.510
(0.389,8.631)0.032 WHR 0.025
(−0.009,0.059)0.146 −0.011
(−0.050,0.027)0.567 −0.002
(−0.046,0.043)0.947 0.004
(−0.034,0.041)0.852 −0.016
(−0.053,0.021)0.394 Note. EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. In addition, we performed sex-stratified linear regression models to explore the relationships between different types of CM and obesity indicators. The results indicated that none of the five types of CM were associated with obesity indicators in females. However, in males, emotional abuse showed a stronger association with obesity indicators (VFA, BMI, PBF, FM, WC, and hipline). Moreover, both physical abuse and emotional neglect exhibited significant associations (see Figure 1, Supplementary Figure S2, Supplementary Table S3, and Supplementary Table S4, available in www.besjournal.com). One plausible explanation for these findings is that males are more prone to experiencing the adverse effects of childhood abuse. Furthermore, in China, higher education is associated with an increased risk of overall obesity and abdominal obesity in males, whereas this risk is lower among females. Therefore, maltreated male college students may experience more psychological and behavioral problems, such as poor sleep and reduced physical activity, which contribute to obesity in early adulthood. However, a recent study in Germany reported contrasting findings[6]. This difference may be explained by the fact that the German study focused on a middle-aged population, whereas our study focused on university students in China. The impact of CM on the onset of obesity in adolescents may manifest over 2-5 years[10], or possibly even longer. Given that this study was conducted within the Chinese cultural context, the cultural and social context unique to China may influence the extrapolation of the results to other countries.
Figure 1. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events. (A two-sided P value of ≤ 0.01 was considered statistically significant).
The results further indicated that recent adverse life events were significantly associated with hipline (β=–0.079; 99% CI: –0.153 to –0.006) and WHR (β=0.001; 99% CI: 0.000 to 0.001). In addition, we explored whether there was an interaction between recent adversarial life events and childhood abuse on obesity metrics. The results of the multiplicative interaction effects showed that physical abuse and neglect, sexual abuse, and emotional neglect interacted with recent adverse life events on the hip circumference. However, the results regarding joint effects did not show statistical significance. They revealed that participants who experienced childhood abuse and also recently encountered moderate levels of adverse life events tended to exhibit lower levels of BMI. One plausible explanation is that children who experienced childhood abuse may be more susceptible to adversities in adulthood. Furthermore, persistent stress may affect the brain’s response to food, thus predisposing individuals to poor eating habits, which, if prolonged, could increase the risk of obesity. Therefore, it is crucial to address the impact of recent adverse life events on abdominal obesity in early adulthood. Further details can be found in Table 2, Supplementary Table S5, and Supplementary Table S6, available in www.besjournal.com.
Table 2. Association between recent adverse life events and cardiovascular indicators.
Variables β (99%CI) P β (95%CI) P VFA 0.011 (−0.341,0.362) 0.938 0.011 (−0.257,0.278) 0.938 BMI −0.023 (−0.062,0.015) 0.113 −0.023 (−0.052,0.006) 0.113 PBF −0.015 (−0.084,0.055) 0.586 −0.015 (−0.067,0.038) 0.586 FM −0.020 (−0.093,0.053) 0.481 −0.020 (−0.075,0.035) 0.481 WC 0.007 (−0.093,0.107) 0.854 0.007 (−0.069,0.083) 0.854 Hipline −0.079 (−0.153,−0.006) 0.006 −0.079 (−0.135,−0.024) 0.006 WHR 0.001 (0.000,0.001) 0.002 0.001 (0.000,0.001) 0.002 Note. VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic, emotional abuse; physical abuse; sexual abuse; emotional neglect and physical neglect. Childhood maltreatment affects obesity indicators in adulthood, the effects of this adverse experience are long-lasting, and intervention strategies to prevent obesity should consider addressing adverse forms of maltreatment in childhood. In addition, it is recommended that relevant authorities conduct routine screening for CM in order to reduce the risk of CM on obesity.
This study has several limitations. First, data on early childhood maltreatment were gathered through a retrospective self-report questionnaire, potentially introducing recall bias. Second, the participants were exclusively recruited from a single college in China, restricting the broader applicability of our results to young adults from varied demographic backgrounds. Third, the indicators of obesity in this study were somewhat limited, and future studies could include objectively measured indicators that more accurately reflect obesity. Fourth, this study did not consider the influence of several potential confounders (such as physical activity and dietary patterns) on the outcomes. Fifth, the obesity detection rate in this study was low and the sample size was small, which could impact the reliability of the findings. Therefore, our results remain preliminary, and future studies in China should aim to include a larger sample size to further validate our findings.
In summary, four subtypes of CM (except for physical neglect) are associated with obesity indicators in early adulthood, especially in emotional abuse. The associations between exposure to CM and obesity-related traits in early adulthood are predominantly observed in males. Furthermore, recent adverse life events were significantly associated with obesity. Overall, this study highlights the importance of addressing both distant (CM) and recent adverse life events to alleviate obesity in early adulthood.
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The authors declare that they have no conflict of interest.
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Table S3. Relationship between child maltreatment and obesity indicators by sex (A two-sided P value of ≤ 0.01 was considered statistically significant).
Variables EA PA SA EN PN β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P VFA Males 40.557
(7.538,73.576)0.002 23.830
(−11.462,59.123)0.080 19.357
(−20.681,59.395)0.209 20.694
(−15.537,56.925)0.138 16.676
(−20.189,53.540)0.239 Females 5.609
(−31.811,43.029)0.696 −32.859
(−85.825,20.106)0.107 −14.013
(−99.683,71.656)0.670 10.106
(−34.261,54.430)0.552 −22.778
(−65.702,20.146)0.168 BMI Males 5.631
(1.799,9.462)< 0.001 4.056
(−0.049,8.161)0.011 3.796
(−0.871,8.463)0.035 3.738
(−0.483,7.958)0.022 3.115
(−1.194,7.424)0.061 Females 1.634
(−1.950,5.219)0.236 −2.218
(−7.342,2.905)0.260 −4.791
(−12.971,3.389)0.128 1.672
(−2.584,5.927)0.307 −1.249
(−5.400,2.903)0.433 PBF Males 8.557
(1.873,15.240)0.001 4.780
(−2.387,11.948)0.084 4.014
(−4.113,12.141)0.199 4.038
(−3.323,11.399)0.154 3.351
(−4.135,10.837)0.244 Females 1.200
(−5.977,8.378)0.663 −7.109
(−17.244,3.025)0.069 −2.132
(−18.571,14.308)0.735 2.813
(−5.678,11.304)0.388 −2.446
(−10.721,5.829)0.441 FM Males 9.960
(2.677,17.244)< 0.001 6.213
(−1.605,14.030)0.040 5.454
(−3.421,14.329)0.111 5.928
(−2.088,13.944)0.055 4.873
(−3.297,13.043)0.121 Females 1.660
(−5.132,8.451)0.524 −5.480
(−15.117,4.157)0.140 −3.371
(−18.926,12.184)0.572 2.594
(−5.447,10.635)0.401 −2.946
(−10.771,4.880)0.327 WC Males 12.098
(2.078,22.119)0.002 7.491
(−3.197,18.179)0.069 6.137
(−5.993,18.266)0.188 6.843
(−4.122,17.808)0.105 4.932
(−6.245,16.110)0.251 Females 1.612
(−7.568,10.792)0.647 −8.823
(−21.794,4.148)0.078 −10.001
(−30.915,10.913)0.214 2.639
(−8.235,13.513)0.527 −5.185
(−15.728,5.358)0.201 Hipline Males 8.942
(1.855,16.029)0.001 8.326
(0.882,15.770)0.004 7.746
(−0.738,16.229)0.018 8.046
(0.403,15.690)0.007 6.928
(−0.887,14.743)0.022 Females 2.187
(−5.187,9.560)0.440 −0.902
(−11.456,9.653)0.824 −4.734
(−21.621,12.153)0.465 −0.177
(−8.937,8.583)0.958 −4.205
(−12.685,4.275)0.197 WHR Males 0.039
(−0.031,0.109)0.144 −0.004
(−0.078,0.070)0.887 −0.013
(−0.096,0.070)0.690 −0.008
(−0.083,−0.067)0.780 −0.019
(−0.095,0.057)0.522 Females −0.001
(−0.055,0.053)0.961 −0.084
(−0.056,0.035)0.004 −0.069
(−0.192,0.054)0.146 0.035
(−0.028,0.099)0.150 −0.014
(−0.077,0.048)0.554 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. Models were adjusted for age, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. A two−sided P value of ≤ 0.01 was considered statistically significant. Table S4. Relationship between child maltreatment and obesity indicators by sex (A two−sided P value of ≤ 0.05 was considered statistically significant).
Variables EA PA SA EN PN β (95%CI) P β (95%CI) P β (95%CI) P β (95%CI) P β (95%CI) P VFA Males 40.557
(15.565,65.550)0.002 23.830
(−2.883,50.544)0.080 19.357
(−10.948,49.663)0.209 20.694
(−6.729,48.117)0.138 16.676
(−11.228,44.579)0.239 Females 5.609
(−22.715,33.933)0.696 −32.859
(−72.950,7.231)0.107 −14.013
(−78.857,50.831)0.670 10.106
(−23.443,43.656)0.552 −22.778
(−55.268,9.712)0.168 BMI Males 5.631
(2.730,8.531)< 0.001 4.056
(0.949,7.164)0.011 3.796
(0.263,7.328)0.035 3.738
(0.543,6.932)0.022 3.115
(−0.146,6.376)0.061 Females 1.634
(−1.079,3.584)0.236 −2.218
(−6.096,1.659)0.260 −4.791
(−10.983,1.401)0.128 1.672
(−1.594,4.892)0.307 −1.249
(−4.391,1.894)0.433 PBF Males 8.557
(3.498,13.616)0.001 4.780
(−0.645,10.206)0.084 4.014
(−2.138,10.166)0.199 4.038
(−1.534,9.610)0.154 3.351
(−2.315,9.017)0.244 Females 1.200
(−4.233,6.634)0.663 −7.109
(−14.780,0.561)0.069 −2.132
(−14.575,10.311)0.735 2.813
(−3.614,9.240)0.388 −2.446
(−8.710,3.818)0.441 FM Males 9.960
(4.447,15.474)< 0.001 6.213
(0.296,12.130)0.040 5.454
(−1.264,12.172)0.111 5.928
(−0.139,11.996)0.055 4.873
(−1.311,11.057)0.121 Females 1.660
(−3.481,6.800)0.524 −5.480
(−12.774,1.814)0.140 −3.371
(−15.145,8.403)0.572 2.594
(−3.493,8.681)0.401 −2.946
(−8.869,2.977)0.327 WC Males 12.098
(4.513,19.683)0.002 7.491
(−0.599,15.581)0.069 6.137
(−3.044,15.318)0.188 6.843
(−1.456,15.142)0.105 4.932
(−3.528,13.393)0.251 Females 1.612
(−5.337,8.560)0.647 −8.823
(−18.641,0.995)0.078 −10.001
(−25.831,5.829)0.214 2.639
(−5.591,10.870)0.527 −5.185
(−13.165,2.795)0.201 Hipline Males 8.942
(3.577,14.306)0.001 8.326
(2.691,13.961)0.004 7.746
(1.324,14.167)0.018 8.046
(2.261,13.832)0.007 6.928
(1.013,12.843)0.022 Females 2.187
(−3.395,7.768)0.440 −0.902
(−8.891,7.087)0.824 −4.734
(−17.516,8.048)0.465 −0.177
(−6.808,6.454)0.958 −4.205
(−10.624,2.214)0.197 WHR Males 0.039
(−0.014,0.092)0.144 −0.004
(−0.060,0.052)0.887 −0.013
(−0.075,0.050)0.690 −0.008
(−0.065,0.049)0.780 −0.019
(−0.076,0.039)0.522 Females −0.001
(−0.042,0.040)0.961 −0.084
(−0.141,−0.027)0.004 −0.069
(−0.162,0.024)0.146 0.035
(−0.013,0.084)0.150 −0.014
(−0.062,0.033)0.554 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. Models were adjusted for age, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. A two−sided P value of ≤ 0.05 was considered statistically significant. Table S5. Association between childhood adverse life events and recent adverse life events interacting with obesity indicators.
Variables EA*ASLEC PA*ASLEC SA*ASLEC EN*ASLEC PN*ASLEC β (CI) P β (CI) P β (CI) P β (CI) P β (CI) P 99%CI; Pinteraction ≤ 0.01 VFA −0.372 (−1.320,0.577) 0.311 −0.525 (−1.375,0.325) 0.110 −0.580 (−1.414,0.253) 0.072 −0.797 (−1.720,0.126) 0.026 −0.582 (−1.481,0.317) 0.094 BMI −0.027 (−0.130,0.076) 0.493 −0.050 (−0.142,0.043) 0.164 −0.053 (−0.144,0.038) 0.131 −0.060 (−0.161,0.041) 0.124 −0.035 (−0.133,0.063) 0.351 PBF −0.045 (−0.233,0.142) 0.533 −0.096 (−0.264,0.072) 0.138 −0.125 (−0.289,0.040) 0.050 −0.145 (−0.328,0.037) 0.040 −0.113 (−0.291,0.064) 0.099 FM −0.066 (−0.262,0.130) 0.385 −0.104 (−0.280,0.071) 0.125 −0.119 (−0.291,0.053) 0.075 −0.154 (−0.345,0.036) 0.037 −0.112 (−0.298,0.073) 0.118 WC −0.147 (−0.416,0.123) 0.160 −0.174 (−0.416,0.067) 0.062 −0.176 (−0.413,0.061) 0.055 −0.247 (−0.510,0.015) 0.015 −0.208 (−0.464,0.047) 0.035 Hipline −0.041 (−0.240,0.158) 0.594 0.003 (−0.176,0.182) 0.966 0.001 (−0.175,0.177) 0.993 −0.059 (−0.254,0.136) 0.433 0.008 (−0.181,0.198) 0.910 WHR −0.001 (−0.003,0.001) 0.102 −0.002 (−0.003,0.000) 0.003 −0.002 (−0.003,0.000) 0.002 −0.002 (−0.004,0.000) 0.003 −0.002 (−0.004,−0.001) 0.001 95%CI; Pinteraction ≤0.05 VFA −0.372 (−1.092,0.348) 0.311 −0.525 (−1.170,0.120) 0.110 −0.580 (−1.213,0.052) 0.072 −0.797 (−1.497,−0.096) 0.026 −0.582 (−1.265,0.100) 0.094 BMI −0.027 (−0.106,0.051) 0.493 −0.050 (−0.120,0.020) 0.164 −0.053 (−0.122,0.016) 0.131 −0.060 (−0.136,0.016) 0.124 −0.035 (−0.110,0.039) 0.351 PBF −0.045 (−0.188,0.097) 0.533 −0.096 (−0.224,0.031) 0.138 −0.125 (−0.250,0.000) 0.050 −0.145 (−0.284,−0.007) 0.040 −0.113 (−0.248,0.022) 0.099 FM −0.066 (−0.215,0.083) 0.385 −0.104 (−0.238,0.029) 0.125 −0.119 (−0.249,0.012) 0.075 −0.154 (−0.299,−0.010) 0.037 −0.112 (−0.253,0.029) 0.118 WC −0.147 (−0.351,0.058) 0.160 −0.174 (−0.358,0.009) 0.062 −0.176 (−0.356,0.004) 0.055 −0.247 (−0.446,−0.048) 0.015 −0.208 (−0.402,−0.014) 0.035 Hipline −0.041 (−0.192,0.110) 0.594 0.003 (−0.133,0.139) 0.966 0.001 (−0.133,0.134) 0.993 −0.059 (−0.207,0.089) 0.433 0.008 (−0.136,0.152) 0.910 WHR −0.001 (−0.002,0.000) 0.102 −0.002 (−0.003,−0.001) 0.003 −0.002 (−0.003,−0.001) 0.002 −0.002 (−0.003,−0.001) 0.003 −0.002 (−0.004,−0.001) 0.001 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat are; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference; ASLEC, Adolescent Self−Rating Life Events Checklist. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic, emotional abuse; physical abuse; sexual abuse; emotional neglect; physical neglect and recent adverse life events. Table S6. Association of different types of child maltreatment with obesity indicators.
Variables VFA BMI PBF FM WC Hipline WHR βinteraction (CI) βinteraction (CI) βinteraction (CI) β interaction (CI) βinteraction (CI) β interaction (CI) β interaction (CI) β, 99%CI None CM, Low ASLEC − − − − − − − None CM, Medium ASLEC 0.537 (−14.694,15.769) 0.201 (−1.458,1.860) −0.508 (−3.524,2.508) 0.025 (−3.116,3.167) 0.244 (−4.108,4.596) 0.200 (−2.991,3.391) 0.000 (−0.029,0.029) None CM, High ASLEC −1.935 (−22.540,18.670) 0.228 (−2.016,2.472) −0.268 (−4.348,3.812) −0.359 (−4.610,3.891) −1.183 (−7.070,4.704) −2.200 (−6.517,2.117) 0.006 (−0.034,0.045) CM, Low ASLEC −5.819 (−41.791,30.153) −0.695 (−4.613,3.223) −0.435 (−7.558,6.688) −0.752 (−8.172,6.667) −0.964 (−11.241,9.314) −0.285 (−7.822,7.252) −0.007 (−0.076,0.062) CM, Medium ASLEC −26.793 (−56.290,2.703) −3.245 (−6.458,−0.032) −5.796 (−11.637,0.044) −6.024 (−12.108,0.060) −7.028 (−15.455,1.399) −5.484 (−11.664,0.697) −0.023 (−0.080,0.033) CM,High ASLEC −32.518 (−68.275,3.239) −1.722 (−5.616,2.173) −5.173 (−12.253,1.907) −6.564 (−13.939,0.811) −8.821 (−19.036,1.395) −7.701 (−15.193,−0.209) −0.021 (−0.089,0.048) β, 95%CI None CM, Low ASLEC − − − − − − − None CM, Medium ASLEC 0.537 (−11.022,12.097) 0.201 (−1.058,1.460) −0.508 (−2.797,1.781) 0.025 (−2.359,2.410) 0.244 (−3.059,3.547) 0.200 (−2.222,2.622) 0.000 (−0.022,0.022) None CM, High ASLEC −1.935 (−17.573,13.704) 0.228 (−1.475,1.931) −0.268 (−3.365,2.828) −0.359 (−3.585,2.866) −1.183 (−5.651,3.285) −2.200 (−5.476,1.077) 0.006 (−0.024,0.036) CM, Low ASLEC −5.819 (−33.121,21.483) −0.695 (−3.668,2.279) −0.435 (−5.841,4.971) −0.752 (−6.384,4.879) −0.964 (−8.764,6.837) −0.285 (−6.005,5.435) −0.007 (−0.059,0.045) CM, Medium ASLEC −26.793 (−49.180,−4.406) −3.245 (−5.683,−0.807) −5.796 (−10.229.−1.363) −6.024 (−10.641,−1.406) −7.028 (−13.424,−0.632) −5.484 (−10.174,−0.793) −0.023 (−0.066,0.020) CM,High ASLEC −32.518 (−59.656,−5.380) −1.722 (−4.678,1.234) −5.173 (−10.547.0.200) −6.564 (−12.162,−0.966) −8.821 (−16.574,−1.067) −7.701 (−13.387,−2.015) −0.021 (−0.073,0.031) Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. Table S7. Association of different types of child maltreatment with obesity indicators by type of obesity.
CM EA PA SA EN PN β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P VFA Normal 3.686 (−18.630,26.002) 0.668 −7.805 (−34.715,19.105) 0.452 −14.910 (−49.771,19.951) 0.268 −0.502 (−25.757,24.753) 0.959 −14.082 (−38.392,10.228) 0.134 Obese/
overweight−12.225 (−68.104,43.665) 0.558 −12.252 (−75.811,51.307) 0.605 −9.806 (−88.179,68.567) 0.737 −10.994 (−86.954,64.965) 0.698 1.982 (−62.264,67.228) 0.935 BMI Normal 1.126 (−0.907,3.159) 0.152 0.162 (−2.303,2.627) 0.865 −2.213 (−5.388,0.961) 0.071 0.850 (−1.456,3.156) 0.339 −0.590 (−2.823,1.643) 0.493 Obese/
overweight−0.061 (−6.184,6.062) 0.979 −3.724 (−10.503,3.054) 0.145 −2.791 (−11.273,5.692) 0.379 −1.954 (−10.216,6.309) 0.527 −0.787 (−7.899,6.325) 0.767 PBF Normal 2.135 (−3.313,7.583) 0.310 −1.619 (−8.203,4.966) 0.524 −2.265 (−10.807,6.276) 0.491 0.994 (−5.181,7.169) 0.676 −2.021 (−7.987,3.944) 0.380 Obese/
overweight1.322 (−8.190,10.835) 0.709 0.459 (−10.368,11.286) 0.909 1.751 (−11.555,15.058) 0.724 1.988 (−10.907,14.883) 0.679 3.759 (−7.207,14.725) 0.360 FM Normal 1.796 (−2.657,6.248) 0.296 −0.802 (−6.188,4.583) 0.699 −2.460 (−9.436,4.516) 0.360 0.823 (−4.225,5.870) 0.672 −2.129 (−7.000,2.742) 0.257 Obese/
overweight−1.921 (−14.258,10.416) 0.676 −2.451 (−16.462,11.560) 0.639 −2.850 (−20.099,14.399) 0.658 −1.662 (−18.414,15.090) 0.790 2.144 (−12.203,16.492) 0.689 WC Normal 1.807 (−4.312,7.926) 0.444 −0.211 (−7.606,7.184) 0.941 −2.250 (−11.837,7.336) 0.543 0.755 (−6.175,7.685) 0.777 −3.260 (−9.942,3.422) 0.206 Obese/
overweight−2.946 (−17.968,12.077) 0.599 −4.719 (−21.732,12.294) 0.458 −3.612 (−24.638,17.415) 0.645 −3.141 (−23.540,17.258) 0.680 2.189 (−15.314,19.692) 0.737 Hipline Normal 1.418 (−3.618,6.455) 0.465 3.414 (−2.643,9.471) 0.145 0.564 (−7.332,8.459) 0.853 1.737 (−3.960,7.433) 0.429 0.285 (−5.234,5.803) 0.894 Obese/
overweight−2.636 (−14.421,9.150) 0.549 −0.839 (−14.286,12.608) 0.867 −5.571 (−21.959,10.816) 0.364 −2.116 (−18.144,13.9112) 0.723 1.314 (−12.439,15.067) 0.798 WHR Normal 0.007 (−0.048,0.061) 0.750 −0.035 (−0.101,0.030) 0.162 −0.033 (−0.118,0.052) 0.311 −0.006 (−0.067,0.056) 0.813 −0.037 (−0.096,0.022) 0.102 Obese/
overweight−0.005 (−0.096,0.087) 0.890 −0.040 (−0.143,0.063) 0.300 0.015 (−0.113,0.143) 0.757 −0.012 (−0.136,0.112) 0.798 0.010 (−0.096,0.117) 0.793 Note: Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. ASLEC, Adolescent Self−Rating Life Events Checklist. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. Figure S2. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events.
Figure S3. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events. (A two-sided P value of ≤ 0.05 was considered statistically significant).
doi: 10.3967/bes2024.132
Sex- and Type-specific Relationship of Childhood Maltreatment with General Obesity and Abdominal Adiposity in Chinese College Students
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Yingying Tong: Conceptualization, Methodology, Formal analysis, Data curation. Writing - original draft, Visualization. Min Li: Methodology, Data curation, Writing - review & editing. Ting Tang and Han Ding: Methodology, Writing - review & editing, Datacuration. Ying Zhu: Investigation, Data curation. Yujie Su: Investigation, Methodology, Data curation. Xueying Zhang: Investigation, Methodology, Data curation. Puyu Su: Conceptualization, Investigation, Resources, Supervision, Project administration, Funding acquisition. Wei Chen and Gengfu Wang: Conceptualization, Investigation, Resources, Supervision, Project administration, Funding acquisition.
&These authors contributed equally to this work.
注释:1) AUTHOR CONTRIBUTIONS: -
Figure 1. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events. (A two-sided P value of ≤ 0.01 was considered statistically significant).
S2. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events.
S3. Relationship between child maltreatment and obesity indicators by sex; abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self-rating life events. (A two-sided P value of ≤ 0.05 was considered statistically significant).
S1. Description of the sample characteristics.
Variables Total (n=305) Males (n=152) Females (n=153) Age, Mean (SD) 18.94 (0.71) 18.90 (0.75) 18.98 (0.67) Only child Yes 89 (29.2) 47 (30.9) 42 (27.5) No 216 (70.8) 105 (69.1) 111 (72.5) Residential area Rural 196 (64.3) 96 (63.2) 100 (65.4) Urban 109 (35.7) 56 (36.8) 96 (63.2) Family type Nuclear family 203 (66.6) 108 (71.1) 95 (62.1) Single-parent family 23 (7.5) 11 (7.2) 12 (7.8) Extended family 79 (25.9) 33 (21.7) 46 (30.1) Family economic Less than 5000 80 (26.2) 31 (20.4) 49 (32.0) 5000-10,000 124 (40.7) 61 (40.1) 63 (41.2) More than10,000 101 (33.1) 60 (39.5) 34 (26.8) Mother’s education level Primary and below 96 (31.5) 52 (34.2) 44 (28.8) Junior middle 126 (41.3) 61 (40.1) 65 (42.5) Senior middle 83 (27.2) 39 (25.7) 44 (28.8) Father’s education level Primary and below 58 (19.0) 28 (18.4) 30 (19.6) Junior middle 122 (40.0) 61 (40.1) 61 (39.9) Senior middle 125 (41.0) 63 (41.4) 62 (40.5) Smoke Yes 8 (5.3) 8 (2.6) 0 (0) No 297 (97.4) 144 (94.7) 153 (100) Drink Yes 97 (31.8) 73 (48.0) 24 (15.7) No 208 (68.2) 79 (52.0) 129 (84.3) EA score, Mean (SD) 5.87 (2.30) 6.05 (2.93) 5.70 (1.42) PA score, Mean (SD) 5.51 (2.24) 5.79 (3.01) 5.25 (0.92) SA score, Mean (SD) 5.34 (1.95) 5.57 (2.70) 5.12 (0.50) EN score, Mean (SD) 5.55 (2.26) 5.72 (2.77) 5.38 (1.57) PN score, Mean (SD) 5.60 (2.13) 5.71 (2.76) 5.48 (1.22) VFA, Mean (SD) 68.89 (35.35) 63.23 (39.52) 74.51 (29.73) BMI, Mean (SD) 22.49 (3.92) 23.36 (4.59) 21.63 (2.87) PBF, Mean (SD) 25.36 (8.24) 20.77 (7.88) 29.93 (5.67) FM, Mean (SD) 16.50 (7.28) 15.66 (8.74) 17.33 (5.37) WC, Mean (SD) 80.17 (10.29) 82.98 (12.04) 77.37 (7.21) Hipline, Mean (SD) 93.36 (7.48) 94.02 (8.71) 92.70 (5.96) WHR, Mean (SD) 0.86 (0.070) 0.88 (0.08) 0.83 (0.04) ASLEC, Mean (SD) 41.61 (17.69) 45.42 (21.04) 37.83 (12.53) Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. ASLEC, Adolescent Self-Rating Life Events Checklist. S2. STROBE Statement-checklist of items that should be included in reports of observational studies.
Item No. Recommendation Page No. Title and abstract 1 (a) Indicate the study’s design with a commonly used term in the title or the abstract 1 (b) Provide in the abstract an informative and balanced summary of what was done and what was found None. Introduction Background/rationale 2 Explain the scientific background and rationale for the investigation being reported 2 Objectives 3 State specific objectives, including any prespecified hypotheses 2 Methods Study design 4 Present key elements of study design early in the paper 3-4 Setting 5 Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection 3-4 Participants 6 (a) Cohort study—Give the eligibility criteria, and the sources and methods of selection of participants. Describe methods of follow-up
Case-control study—Give the eligibility criteria, and the sources and methods of case ascertainment and control selection. Give the rationale for the choice of cases and controls
Cross-sectional study—Give the eligibility criteria, and the sources and methods of selection of participants3-4 (b) Cohort study—For matched studies, give matching criteria and number of exposed and unexposed
Case-control study—For matched studies, give matching criteria and the number of controls per caseNone. Variables 7 Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable 3-4 Data sources/ measurement 8* For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group 3-4 Bias 9 Describe any efforts to address potential sources of bias Not reported Study size 10 Explain how the study size was arrived at 3 Quantitative variables 11 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why 3-4 Statistical methods 12 (a) Describe all statistical methods, including those used to control for confounding 4 (b) Describe any methods used to examine subgroups and interactions 4 (c) Explain how missing data were addressed 4 (d) Cohort study—If applicable, explain how loss to follow-up was addressed
Case-control study—If applicable, explain how matching of cases and controls was addressed
Cross-sectional study—If applicable, describe analytical methods taking account of sampling strategy4 (e) Describe any sensitivity analyses Not reported Results Participants 13* (a) Report numbers of individuals at each stage of study—eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analysed 4, Table S1 (b) Give reasons for non-participation at each stage 3, Figure s1 (c) Consider use of a flow diagram Figure S1 Descriptive data 14* (a) Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders 4-5 (b) Indicate number of participants with missing data for each variable of interest Figure S1 (c) Cohort study—Summarise follow-up time (eg, average and total amount) None, Outcome data 15* Cohort study—Report numbers of outcome events or summary measures over time Case-control study—Report numbers in each exposure category, or summary measures of exposure Cross-sectional study—Report numbers of outcome events or summary measures 4-5 Main results 16 (a) Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and why they were included Table 2 (b) Report category boundaries when continuous variables were categorized None. (c) If relevant, consider translating estimates of relative risk into absolute risk for a meaningful time period Not reported Discussion Key results 18 Summarise key results with reference to study objectives 4-5 Limitations 19 Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias 4-5 Interpretation 20 Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence 4-5 Generalisability 21 Discuss the generalisability (external validity) of the study results 4-5 Other information Funding 22 Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based 1 Note. *Give information separately for cases and controls in case-control studies and, if applicable, for exposed and unexposed groups in cohort and cross-sectional studies. Table 1. Association of different types of child maltreatment with obesity indicators
Variables EA PA SA EN PN β (CI) P β (CI) P β (CI) P β (CI) P β (CI) P 99%CI; P ≤ 0.01 VFA 29.090
(5.335, 52.845)0.002 15.223
(−11.793,42.239)0.145 19.989
(−11.518,51.495)0.101 18.835
(−7.760,45.430)0.067 7.688
(−18.361,33.736)0.445 BMI 4.255
(1.687,6.824)< 0.001 2.917
(−0.022,5.857)0.011 2.884
(−0.559,6.327)0.031 3.253
(0.362,6.144)0.004 2.176
(−0.664,5.016)0.048 PBF 6.208
(1.516,10.900)< 0.001 2.666
(−2.690,8.022)0.198 3.729
(−2.516,9.973)0.123 3.933
(−1.331,9.198)0.054 1.964
(−3.193,7.120)0.324 FM 7.273
(2.368,12.177)< 0.001 4.470
(−1.131,10.071)0.039 5.295
(−1.242,11.832)0.037 5.201
(−0.308,10.709)0.015 3.063
(−2.343,8.468)0.143 WC 8.623
(1.891,15.355)0.001 5.407
(−2.246,13.059)0.068 6.249
(−2.685,15.183)0.071 5.926
(−1.613,13.465)0.042 2.840
(−4.548,10.229)0.320 Hipline 6.763
(1.796,11.729)< 0.001 6.802
(1.206,12.397)0.002 6.530
(−0.039,13.099)0.010 6.090
(0.553,11.627)0.005 4.510
(−0.920,9.939)0.032 WHR 0.025
(−0.020,0.070)0.146 −0.011
(−0.062,0.039)0.567 −0.002
(−0.061,0.058)0.947 0.004
(−0.046,0.053)0.852 −0.016
(−0.065,0.033)0.394 95%CI; P ≤0.05 VFA 29.090
(11.059,47.121)0.002 15.223
(−5.283,35.729)0.145 19.989
(−3.926,43.903)0.101 18.835
(−1.351,39.021)0.067 7.688
(−12.084,27.460)0.445 BMI 4.255
(2.306,6.205)< 0.001 2.917
(0.686,5.149)0.011 2.884
(0.271,5.498)0.031 3.253
(1.059,5.447)0.004 2.176
(0.021,4.332)0.048 PBF 6.208
(2.646,9.769)< 0.001 2.666
(−1.399,6.731)0.198 3.729
(−1.011,8.468)0.123 3.933
(−0.063,7.929)0.054 1.964
(−1.950,5.878)0.324 FM 7.273
(3.550,10.995)< 0.001 4.470
(0.219,8.721)0.039 5.295
(0.333,10.257)0.037 5.201
(1.019,9.382)0.015 3.063
(−1.040,7.166)0.143 WC 8.623
(3.513,13.733)0.001 5.407
(−0.402,11.215)0.068 6.249
(−0.532,13.031)0.071 5.926
(0.204,11.649)0.042 2.840
(−2.768,8.449)0.320 Hipline 6.763
(2.993,10.532)< 0.001 6.802
(2.554,11.049)0.002 6.530
(1.544,11.516)0.010 6.090
(1.887,10.293)0.005 4.510
(0.389,8.631)0.032 WHR 0.025
(−0.009,0.059)0.146 −0.011
(−0.050,0.027)0.567 −0.002
(−0.046,0.043)0.947 0.004
(−0.034,0.041)0.852 −0.016
(−0.053,0.021)0.394 Note. EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. Table 2. Association between recent adverse life events and cardiovascular indicators.
Variables β (99%CI) P β (95%CI) P VFA 0.011 (−0.341,0.362) 0.938 0.011 (−0.257,0.278) 0.938 BMI −0.023 (−0.062,0.015) 0.113 −0.023 (−0.052,0.006) 0.113 PBF −0.015 (−0.084,0.055) 0.586 −0.015 (−0.067,0.038) 0.586 FM −0.020 (−0.093,0.053) 0.481 −0.020 (−0.075,0.035) 0.481 WC 0.007 (−0.093,0.107) 0.854 0.007 (−0.069,0.083) 0.854 Hipline −0.079 (−0.153,−0.006) 0.006 −0.079 (−0.135,−0.024) 0.006 WHR 0.001 (0.000,0.001) 0.002 0.001 (0.000,0.001) 0.002 Note. VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic, emotional abuse; physical abuse; sexual abuse; emotional neglect and physical neglect. S3. Relationship between child maltreatment and obesity indicators by sex (A two-sided P value of ≤ 0.01 was considered statistically significant).
Variables EA PA SA EN PN β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P VFA Males 40.557
(7.538,73.576)0.002 23.830
(−11.462,59.123)0.080 19.357
(−20.681,59.395)0.209 20.694
(−15.537,56.925)0.138 16.676
(−20.189,53.540)0.239 Females 5.609
(−31.811,43.029)0.696 −32.859
(−85.825,20.106)0.107 −14.013
(−99.683,71.656)0.670 10.106
(−34.261,54.430)0.552 −22.778
(−65.702,20.146)0.168 BMI Males 5.631
(1.799,9.462)< 0.001 4.056
(−0.049,8.161)0.011 3.796
(−0.871,8.463)0.035 3.738
(−0.483,7.958)0.022 3.115
(−1.194,7.424)0.061 Females 1.634
(−1.950,5.219)0.236 −2.218
(−7.342,2.905)0.260 −4.791
(−12.971,3.389)0.128 1.672
(−2.584,5.927)0.307 −1.249
(−5.400,2.903)0.433 PBF Males 8.557
(1.873,15.240)0.001 4.780
(−2.387,11.948)0.084 4.014
(−4.113,12.141)0.199 4.038
(−3.323,11.399)0.154 3.351
(−4.135,10.837)0.244 Females 1.200
(−5.977,8.378)0.663 −7.109
(−17.244,3.025)0.069 −2.132
(−18.571,14.308)0.735 2.813
(−5.678,11.304)0.388 −2.446
(−10.721,5.829)0.441 FM Males 9.960
(2.677,17.244)< 0.001 6.213
(−1.605,14.030)0.040 5.454
(−3.421,14.329)0.111 5.928
(−2.088,13.944)0.055 4.873
(−3.297,13.043)0.121 Females 1.660
(−5.132,8.451)0.524 −5.480
(−15.117,4.157)0.140 −3.371
(−18.926,12.184)0.572 2.594
(−5.447,10.635)0.401 −2.946
(−10.771,4.880)0.327 WC Males 12.098
(2.078,22.119)0.002 7.491
(−3.197,18.179)0.069 6.137
(−5.993,18.266)0.188 6.843
(−4.122,17.808)0.105 4.932
(−6.245,16.110)0.251 Females 1.612
(−7.568,10.792)0.647 −8.823
(−21.794,4.148)0.078 −10.001
(−30.915,10.913)0.214 2.639
(−8.235,13.513)0.527 −5.185
(−15.728,5.358)0.201 Hipline Males 8.942
(1.855,16.029)0.001 8.326
(0.882,15.770)0.004 7.746
(−0.738,16.229)0.018 8.046
(0.403,15.690)0.007 6.928
(−0.887,14.743)0.022 Females 2.187
(−5.187,9.560)0.440 −0.902
(−11.456,9.653)0.824 −4.734
(−21.621,12.153)0.465 −0.177
(−8.937,8.583)0.958 −4.205
(−12.685,4.275)0.197 WHR Males 0.039
(−0.031,0.109)0.144 −0.004
(−0.078,0.070)0.887 −0.013
(−0.096,0.070)0.690 −0.008
(−0.083,−0.067)0.780 −0.019
(−0.095,0.057)0.522 Females −0.001
(−0.055,0.053)0.961 −0.084
(−0.056,0.035)0.004 −0.069
(−0.192,0.054)0.146 0.035
(−0.028,0.099)0.150 −0.014
(−0.077,0.048)0.554 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. Models were adjusted for age, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. A two−sided P value of ≤ 0.01 was considered statistically significant. S4. Relationship between child maltreatment and obesity indicators by sex (A two−sided P value of ≤ 0.05 was considered statistically significant).
Variables EA PA SA EN PN β (95%CI) P β (95%CI) P β (95%CI) P β (95%CI) P β (95%CI) P VFA Males 40.557
(15.565,65.550)0.002 23.830
(−2.883,50.544)0.080 19.357
(−10.948,49.663)0.209 20.694
(−6.729,48.117)0.138 16.676
(−11.228,44.579)0.239 Females 5.609
(−22.715,33.933)0.696 −32.859
(−72.950,7.231)0.107 −14.013
(−78.857,50.831)0.670 10.106
(−23.443,43.656)0.552 −22.778
(−55.268,9.712)0.168 BMI Males 5.631
(2.730,8.531)< 0.001 4.056
(0.949,7.164)0.011 3.796
(0.263,7.328)0.035 3.738
(0.543,6.932)0.022 3.115
(−0.146,6.376)0.061 Females 1.634
(−1.079,3.584)0.236 −2.218
(−6.096,1.659)0.260 −4.791
(−10.983,1.401)0.128 1.672
(−1.594,4.892)0.307 −1.249
(−4.391,1.894)0.433 PBF Males 8.557
(3.498,13.616)0.001 4.780
(−0.645,10.206)0.084 4.014
(−2.138,10.166)0.199 4.038
(−1.534,9.610)0.154 3.351
(−2.315,9.017)0.244 Females 1.200
(−4.233,6.634)0.663 −7.109
(−14.780,0.561)0.069 −2.132
(−14.575,10.311)0.735 2.813
(−3.614,9.240)0.388 −2.446
(−8.710,3.818)0.441 FM Males 9.960
(4.447,15.474)< 0.001 6.213
(0.296,12.130)0.040 5.454
(−1.264,12.172)0.111 5.928
(−0.139,11.996)0.055 4.873
(−1.311,11.057)0.121 Females 1.660
(−3.481,6.800)0.524 −5.480
(−12.774,1.814)0.140 −3.371
(−15.145,8.403)0.572 2.594
(−3.493,8.681)0.401 −2.946
(−8.869,2.977)0.327 WC Males 12.098
(4.513,19.683)0.002 7.491
(−0.599,15.581)0.069 6.137
(−3.044,15.318)0.188 6.843
(−1.456,15.142)0.105 4.932
(−3.528,13.393)0.251 Females 1.612
(−5.337,8.560)0.647 −8.823
(−18.641,0.995)0.078 −10.001
(−25.831,5.829)0.214 2.639
(−5.591,10.870)0.527 −5.185
(−13.165,2.795)0.201 Hipline Males 8.942
(3.577,14.306)0.001 8.326
(2.691,13.961)0.004 7.746
(1.324,14.167)0.018 8.046
(2.261,13.832)0.007 6.928
(1.013,12.843)0.022 Females 2.187
(−3.395,7.768)0.440 −0.902
(−8.891,7.087)0.824 −4.734
(−17.516,8.048)0.465 −0.177
(−6.808,6.454)0.958 −4.205
(−10.624,2.214)0.197 WHR Males 0.039
(−0.014,0.092)0.144 −0.004
(−0.060,0.052)0.887 −0.013
(−0.075,0.050)0.690 −0.008
(−0.065,0.049)0.780 −0.019
(−0.076,0.039)0.522 Females −0.001
(−0.042,0.040)0.961 −0.084
(−0.141,−0.027)0.004 −0.069
(−0.162,0.024)0.146 0.035
(−0.013,0.084)0.150 −0.014
(−0.062,0.033)0.554 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference. Models were adjusted for age, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. A two−sided P value of ≤ 0.05 was considered statistically significant. S5. Association between childhood adverse life events and recent adverse life events interacting with obesity indicators.
Variables EA*ASLEC PA*ASLEC SA*ASLEC EN*ASLEC PN*ASLEC β (CI) P β (CI) P β (CI) P β (CI) P β (CI) P 99%CI; Pinteraction ≤ 0.01 VFA −0.372 (−1.320,0.577) 0.311 −0.525 (−1.375,0.325) 0.110 −0.580 (−1.414,0.253) 0.072 −0.797 (−1.720,0.126) 0.026 −0.582 (−1.481,0.317) 0.094 BMI −0.027 (−0.130,0.076) 0.493 −0.050 (−0.142,0.043) 0.164 −0.053 (−0.144,0.038) 0.131 −0.060 (−0.161,0.041) 0.124 −0.035 (−0.133,0.063) 0.351 PBF −0.045 (−0.233,0.142) 0.533 −0.096 (−0.264,0.072) 0.138 −0.125 (−0.289,0.040) 0.050 −0.145 (−0.328,0.037) 0.040 −0.113 (−0.291,0.064) 0.099 FM −0.066 (−0.262,0.130) 0.385 −0.104 (−0.280,0.071) 0.125 −0.119 (−0.291,0.053) 0.075 −0.154 (−0.345,0.036) 0.037 −0.112 (−0.298,0.073) 0.118 WC −0.147 (−0.416,0.123) 0.160 −0.174 (−0.416,0.067) 0.062 −0.176 (−0.413,0.061) 0.055 −0.247 (−0.510,0.015) 0.015 −0.208 (−0.464,0.047) 0.035 Hipline −0.041 (−0.240,0.158) 0.594 0.003 (−0.176,0.182) 0.966 0.001 (−0.175,0.177) 0.993 −0.059 (−0.254,0.136) 0.433 0.008 (−0.181,0.198) 0.910 WHR −0.001 (−0.003,0.001) 0.102 −0.002 (−0.003,0.000) 0.003 −0.002 (−0.003,0.000) 0.002 −0.002 (−0.004,0.000) 0.003 −0.002 (−0.004,−0.001) 0.001 95%CI; Pinteraction ≤0.05 VFA −0.372 (−1.092,0.348) 0.311 −0.525 (−1.170,0.120) 0.110 −0.580 (−1.213,0.052) 0.072 −0.797 (−1.497,−0.096) 0.026 −0.582 (−1.265,0.100) 0.094 BMI −0.027 (−0.106,0.051) 0.493 −0.050 (−0.120,0.020) 0.164 −0.053 (−0.122,0.016) 0.131 −0.060 (−0.136,0.016) 0.124 −0.035 (−0.110,0.039) 0.351 PBF −0.045 (−0.188,0.097) 0.533 −0.096 (−0.224,0.031) 0.138 −0.125 (−0.250,0.000) 0.050 −0.145 (−0.284,−0.007) 0.040 −0.113 (−0.248,0.022) 0.099 FM −0.066 (−0.215,0.083) 0.385 −0.104 (−0.238,0.029) 0.125 −0.119 (−0.249,0.012) 0.075 −0.154 (−0.299,−0.010) 0.037 −0.112 (−0.253,0.029) 0.118 WC −0.147 (−0.351,0.058) 0.160 −0.174 (−0.358,0.009) 0.062 −0.176 (−0.356,0.004) 0.055 −0.247 (−0.446,−0.048) 0.015 −0.208 (−0.402,−0.014) 0.035 Hipline −0.041 (−0.192,0.110) 0.594 0.003 (−0.133,0.139) 0.966 0.001 (−0.133,0.134) 0.993 −0.059 (−0.207,0.089) 0.433 0.008 (−0.136,0.152) 0.910 WHR −0.001 (−0.002,0.000) 0.102 −0.002 (−0.003,−0.001) 0.003 −0.002 (−0.003,−0.001) 0.002 −0.002 (−0.003,−0.001) 0.003 −0.002 (−0.004,−0.001) 0.001 Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse;EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat are; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, Waist hip ratio; WC, waist circumference; ASLEC, Adolescent Self−Rating Life Events Checklist. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic, emotional abuse; physical abuse; sexual abuse; emotional neglect; physical neglect and recent adverse life events. S6. Association of different types of child maltreatment with obesity indicators.
Variables VFA BMI PBF FM WC Hipline WHR βinteraction (CI) βinteraction (CI) βinteraction (CI) β interaction (CI) βinteraction (CI) β interaction (CI) β interaction (CI) β, 99%CI None CM, Low ASLEC − − − − − − − None CM, Medium ASLEC 0.537 (−14.694,15.769) 0.201 (−1.458,1.860) −0.508 (−3.524,2.508) 0.025 (−3.116,3.167) 0.244 (−4.108,4.596) 0.200 (−2.991,3.391) 0.000 (−0.029,0.029) None CM, High ASLEC −1.935 (−22.540,18.670) 0.228 (−2.016,2.472) −0.268 (−4.348,3.812) −0.359 (−4.610,3.891) −1.183 (−7.070,4.704) −2.200 (−6.517,2.117) 0.006 (−0.034,0.045) CM, Low ASLEC −5.819 (−41.791,30.153) −0.695 (−4.613,3.223) −0.435 (−7.558,6.688) −0.752 (−8.172,6.667) −0.964 (−11.241,9.314) −0.285 (−7.822,7.252) −0.007 (−0.076,0.062) CM, Medium ASLEC −26.793 (−56.290,2.703) −3.245 (−6.458,−0.032) −5.796 (−11.637,0.044) −6.024 (−12.108,0.060) −7.028 (−15.455,1.399) −5.484 (−11.664,0.697) −0.023 (−0.080,0.033) CM,High ASLEC −32.518 (−68.275,3.239) −1.722 (−5.616,2.173) −5.173 (−12.253,1.907) −6.564 (−13.939,0.811) −8.821 (−19.036,1.395) −7.701 (−15.193,−0.209) −0.021 (−0.089,0.048) β, 95%CI None CM, Low ASLEC − − − − − − − None CM, Medium ASLEC 0.537 (−11.022,12.097) 0.201 (−1.058,1.460) −0.508 (−2.797,1.781) 0.025 (−2.359,2.410) 0.244 (−3.059,3.547) 0.200 (−2.222,2.622) 0.000 (−0.022,0.022) None CM, High ASLEC −1.935 (−17.573,13.704) 0.228 (−1.475,1.931) −0.268 (−3.365,2.828) −0.359 (−3.585,2.866) −1.183 (−5.651,3.285) −2.200 (−5.476,1.077) 0.006 (−0.024,0.036) CM, Low ASLEC −5.819 (−33.121,21.483) −0.695 (−3.668,2.279) −0.435 (−5.841,4.971) −0.752 (−6.384,4.879) −0.964 (−8.764,6.837) −0.285 (−6.005,5.435) −0.007 (−0.059,0.045) CM, Medium ASLEC −26.793 (−49.180,−4.406) −3.245 (−5.683,−0.807) −5.796 (−10.229.−1.363) −6.024 (−10.641,−1.406) −7.028 (−13.424,−0.632) −5.484 (−10.174,−0.793) −0.023 (−0.066,0.020) CM,High ASLEC −32.518 (−59.656,−5.380) −1.722 (−4.678,1.234) −5.173 (−10.547.0.200) −6.564 (−12.162,−0.966) −8.821 (−16.574,−1.067) −7.701 (−13.387,−2.015) −0.021 (−0.073,0.031) Note. Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. S7. Association of different types of child maltreatment with obesity indicators by type of obesity.
CM EA PA SA EN PN β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P β (99%CI) P VFA Normal 3.686 (−18.630,26.002) 0.668 −7.805 (−34.715,19.105) 0.452 −14.910 (−49.771,19.951) 0.268 −0.502 (−25.757,24.753) 0.959 −14.082 (−38.392,10.228) 0.134 Obese/
overweight−12.225 (−68.104,43.665) 0.558 −12.252 (−75.811,51.307) 0.605 −9.806 (−88.179,68.567) 0.737 −10.994 (−86.954,64.965) 0.698 1.982 (−62.264,67.228) 0.935 BMI Normal 1.126 (−0.907,3.159) 0.152 0.162 (−2.303,2.627) 0.865 −2.213 (−5.388,0.961) 0.071 0.850 (−1.456,3.156) 0.339 −0.590 (−2.823,1.643) 0.493 Obese/
overweight−0.061 (−6.184,6.062) 0.979 −3.724 (−10.503,3.054) 0.145 −2.791 (−11.273,5.692) 0.379 −1.954 (−10.216,6.309) 0.527 −0.787 (−7.899,6.325) 0.767 PBF Normal 2.135 (−3.313,7.583) 0.310 −1.619 (−8.203,4.966) 0.524 −2.265 (−10.807,6.276) 0.491 0.994 (−5.181,7.169) 0.676 −2.021 (−7.987,3.944) 0.380 Obese/
overweight1.322 (−8.190,10.835) 0.709 0.459 (−10.368,11.286) 0.909 1.751 (−11.555,15.058) 0.724 1.988 (−10.907,14.883) 0.679 3.759 (−7.207,14.725) 0.360 FM Normal 1.796 (−2.657,6.248) 0.296 −0.802 (−6.188,4.583) 0.699 −2.460 (−9.436,4.516) 0.360 0.823 (−4.225,5.870) 0.672 −2.129 (−7.000,2.742) 0.257 Obese/
overweight−1.921 (−14.258,10.416) 0.676 −2.451 (−16.462,11.560) 0.639 −2.850 (−20.099,14.399) 0.658 −1.662 (−18.414,15.090) 0.790 2.144 (−12.203,16.492) 0.689 WC Normal 1.807 (−4.312,7.926) 0.444 −0.211 (−7.606,7.184) 0.941 −2.250 (−11.837,7.336) 0.543 0.755 (−6.175,7.685) 0.777 −3.260 (−9.942,3.422) 0.206 Obese/
overweight−2.946 (−17.968,12.077) 0.599 −4.719 (−21.732,12.294) 0.458 −3.612 (−24.638,17.415) 0.645 −3.141 (−23.540,17.258) 0.680 2.189 (−15.314,19.692) 0.737 Hipline Normal 1.418 (−3.618,6.455) 0.465 3.414 (−2.643,9.471) 0.145 0.564 (−7.332,8.459) 0.853 1.737 (−3.960,7.433) 0.429 0.285 (−5.234,5.803) 0.894 Obese/
overweight−2.636 (−14.421,9.150) 0.549 −0.839 (−14.286,12.608) 0.867 −5.571 (−21.959,10.816) 0.364 −2.116 (−18.144,13.9112) 0.723 1.314 (−12.439,15.067) 0.798 WHR Normal 0.007 (−0.048,0.061) 0.750 −0.035 (−0.101,0.030) 0.162 −0.033 (−0.118,0.052) 0.311 −0.006 (−0.067,0.056) 0.813 −0.037 (−0.096,0.022) 0.102 Obese/
overweight−0.005 (−0.096,0.087) 0.890 −0.040 (−0.143,0.063) 0.300 0.015 (−0.113,0.143) 0.757 −0.012 (−0.136,0.112) 0.798 0.010 (−0.096,0.117) 0.793 Note: Abbreviations: EA, Emotional abuse; PA, Physical abuse; SA, Sexual abuse; EN, Emotional neglect; PN, Physical neglect; VFA, visceral fat area; BMI, body mass index; PBF, percentage of body fat; FM, fat mass; WHR, waist hip ratio; WC, waist circumference. ASLEC, Adolescent Self−Rating Life Events Checklist. Models were adjusted for age, sex, drink, smoke, father education, mother education, family type, family economic and recent adolescent self−rating life events. -
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