Associations between caregivers’ health behaviours and overweight/obesity among children aged 2–6 years in Beijing, China: a cross-sectional study ====================================================================================================================================================== * Wenjing Ji * Juan Du * Xueling Li * Yan Hu * Aimin Liang * Xiwei Xu ## Abstract **Objective** To investigate the correlation between caregivers’ health-related behaviours and the prevalence of overweight/obesity among children aged 2–6 years in Beijing city in China. **Design** Cross-sectional study. **Setting** Two kindergartens and two community health service centres in Beijing city, China. **Participants** A total of 1967 children aged 2–6 years were included. **Primary and secondary outcome measures** Children’s height and weight were measured and body mass index was computed. The caregivers’ exercise health behaviours and dietary health behaviours were assessed using a questionnaire, encompassing the frequency of exercise and the duration of each exercise session, as well as the frequency of consumption of desserts, late-night snacks, and fast food, regular eating habits, and the proportion of meat and vegetables consumed daily. Logistic regression analysis was performed to identify relationships between caregivers’ health-related behaviours and overweight/obesity in children. **Results** Having caregivers who exercised ≥3 times/week (OR 0.643, 95% CI 0.417 to 0.990) was a protective factor against childhood overweight/obesity compared with having caregivers who exercised <1 time/week; caregivers’ frequent encouragement of children’s participation in physical activity was also a protective factor (OR 0.513, 95% CI 0.352 to 0.749). Additionally, children whose caregivers consumed sweets 2–3 times/week (OR 1.535, 95% CI 1.133 to 2.081) or ≥4 times/week (OR 1.916, 95% CI 1.258 to 2.918), as well as children whose caregivers consumed fast food ≥4 times/week (OR 2.298, 95% CI 1.349 to 3.914), were more likely to be overweight and obesity than children whose caregivers consumed these foods ≤1 time/week. Furthermore, caregivers’ irregular eating habits were positively associated with the occurrence of overweight and obesity in children (OR 1.485, 95% CI 1.056 to 2.089). **Conclusion** Caregivers’ health-related behaviours were significantly associated with overweight/obesity among children in China. Substantial measures should be implemented to address caregivers’ health-related behaviours to prevent and control childhood overweight/obesity. * Child * Overweight * Obesity * Caregivers * Behavior ### STRENGTHS AND LIMITATIONS OF THIS STUDY * Participants were randomly selected by stratified cluster sampling in this cross-sectional study. * Classification of nutritional status was based on the body mass index growth curve specifically developed for Chinese children and adolescents aged 0–18 years. * The impact of confounding factors was effectively controlled by the multivariate logistic regression method. * As the design of this study is cross-sectional, it should be noted that establishing causal relationships between factors and overweight/obesity is not possible. * The use of questionnaire surveys in this study may introduce certain subjectivity and recall bias. ## Introduction Overweight and obesity among children have become major public health issues worldwide.1 In China, the prevalence of overweight and obesity among children and adolescents increased 11-fold and 7-fold, respectively, over the past 30 years, from 1985 to 2014.2 3 The latest national prevalence estimates for 2015–2019 in China showed that 6.8% and 3.6% of children younger than 6 years and 11.1% and 7.9% of children and adolescents aged 6–17 years were overweight and obese, respectively.4 Moreover, according to the Global Burden of Disease Study estimates for 2015, China had the highest number of children living with obesity.5 Overweight/obesity in childhood not only has a negative impact on children’s physical and mental health but also may lead to obesity in adulthood. In addition, being overweight or obese in childhood has been prospectively associated with an increased risk of developing non-communicable diseases in adulthood, including cardiovascular disease,6 type 2 diabetes,7 stroke,8 chronic inflammation9 and various cancers,10 imposing a significant economic burden on society. Overweight/obesity is influenced by both genetic and environmental factors.11 The family environment is the main place of activity for preschool children. Therefore, identifying the factors in the family environment that lead to overweight/obesity and providing early intervention are the keys to preventing and controlling overweight and obesity in preschool children. Among family environmental factors, parental nutritional status,12 knowledge,13 attitudes,14 feeding behaviours,15 16 sleep behaviours17 18 and screen use,19 20 as well as children’s sedentary behaviour,21 dietary patterns22 and sleep duration,23 24 have been studied in the past. However, little attention has been given to the impact of caregivers’ health-related behaviours on overweight and obesity in preschool children. The term ‘caregiver’ is typically defined as the individual responsible for addressing the daily needs of a child within a family context.25 26 In such settings, multiple individuals may take on caregiving roles, such as parents, grandparents, other relatives or nannies. The person who bears primary responsibility for the child’s care and decision-making is referred to as the primary caregiver.27 Previous studies have demonstrated that the primary caregivers of children are predominantly parents, with mothers constituting the majority.28 29 As the primary individuals responsible for children’s daily care, caregivers’ behaviour may have a subtle influence on children’s behaviour. It remains unclear whether caregivers’ health-related behaviours further contribute to overweight and obesity in children. The term ‘health-related behaviour’ encompasses a range of behavioural patterns that have the potential to impact health outcomes, such as individual exercise regimens, dietary choices, emotional regulation and recreational activities.30 31 The purpose of this study was to explore the influence of the primary caregivers’ health-related behaviours, particularly their exercise and diet-related behaviours, on the prevalence of overweight and obesity, to provide specific and feasible intervention measures for controlling obesity in children by improving family environmental factors. ## Methods ### Study design and participants The study was conducted in Shunyi District of Beijing from June to December 2019. A stratified random cluster sampling method was employed, and two community health service centres and two kindergartens were selected. All children aged 2–6 years who had no history of chronic diseases, including cardiopulmonary, endocrine, renal or gastrointestinal diseases, as well as cancer and autoimmune diseases were eligible. In this study, there were totally 2183 children aged 2–6 years from the two community health service centres and two kindergartens, then after we excluded children with chronic diseases (78 cases) and the missing data (138 cases), a total of 1967 children were finally included (see figure 1 for study inclusion process). ![Figure 1](http://bmjopen.bmj.com/https://bmjopen.bmj.com/content/bmjopen/15/2/e086470/F1.medium.gif) [Figure 1](http://bmjopen.bmj.com/content/15/2/e086470/F1) Figure 1 Flow diagram of the participants selection process. This figure shows the criteria that were used to selected the study participants in our study and the numbers that were affected by these criteria and the final sample size of the study. All participants were assured of the confidentiality of their data. ### Patient and public involvement No patients were involved. ### Anthropometric measurements Anthropometric measurements were carried out at the community health service centres and kindergartens included in the survey. All personnel conducting physical measurements were qualified doctors or nurses, trained in standardised procedures. Height and weight measurements were conducted using standardised protocols. The measuring instruments were all checked and calibrated before use. Children were instructed to remove their shoes, socks, hats and coats, and only wear lightweight underwear. Each measurement was conducted twice, and the average value was recorded for analyses. Each child’s body mass index (BMI) was calculated based on their height and weight, with the formula being weight divided by the square of height (kg/m2). ### Definitions of overweight and obesity In this study, the determination of overweight and obesity in children was based on the BMI growth curve for Chinese children and adolescents aged 0–18 years,32 with a diagnostic cut-off value of P85≤BMI0.05) (table 1). View this table: [Table 1](http://bmjopen.bmj.com/content/15/2/e086470/T1) Table 1 Demographic characteristics of participant ### Differences in childhood overweight and obesity among children whose caregivers had different health-related behaviours Table 2 illustrates the disparities in childhood overweight and obesity based on caregivers’ health-related behaviours. The prevalence of overweight and obesity decreased with increasing caregiver exercise frequency(p<0.05), but no significant differences were found regarding caregivers’ duration of each exercise session. Besides, children whose caregivers frequently encouraged exercise had a lower prevalence of overweight and obesity than those whose caregivers did not (p<0.05). Additionally, caregivers who frequently consume sweets and fast food, as well as those with irregular diets, had children with higher rates of overweight and obesity (p<0.05). No significant differences were found in caregivers’ weekly late-night snack consumption or the proportion of vegetables and meat in their diets concerning childhood overweight and obesity prevalence (p>0.05). View this table: [Table 2](http://bmjopen.bmj.com/content/15/2/e086470/T2) Table 2 Differences in overweight and obesity among children whose caregivers had different health-related behaviours ### Logistic regression analysis of the relationship between caregivers’ health-related behaviours and overweight and obesity in children After adjusting for the age of the children and parents’ nutritional status, logistic regression analysis was employed to assess the associations between caregivers’ health-related behaviours and the prevalence of overweight and obesity in children. Our findings revealed that compared with children whose caregivers exercised <1 time/week, those whose caregivers exercised ≥3 times/week had a lower likelihood of being overweight or obese (OR 0.643, 95% CI 0.417 to 0.990), while no significant association was observed for caregivers who exercised 1–2 times/week. Additionally, frequent encouragement from caregivers for children to engage in exercise was negatively correlated with childhood overweight/obesity (OR 0.513, 95% CI 0.352 to 0.749). In contrast, children whose caregivers consumed sweets 2–3 times/week (OR 1.535, 95% CI 1.133 to 2.081) or ≥4 times/week (OR 1.916, 95% CI 1.258 to 2.918), as well as children whose caregivers consumed fast food ≥4 times/week (OR 2.298, 95% CI 1.349 to 3.914), were more likely to be overweight and obesity than children whose caregivers consumed these foods ≤1 time/week. Furthermore, caregivers’ irregular eating habits were positively associated with the occurrence of overweight and obesity in children (OR 1.485, 95% CI 1.056 to 2.089) (table 3). View this table: [Table 3](http://bmjopen.bmj.com/content/15/2/e086470/T3) Table 3 Logistic regression analysis of caregivers’ health-related behaviours and the prevalence of overweight and obesity in children ## Discussion In the present study, we revealed an association between caregivers’ health-related behaviours and childhood overweight and obesity in Beijing. The development of overweight/obesity is influenced by a combination of genetic and environmental factors. Although an increasing number of obesity-related genes have been identified and confirmed, the significant increase in the overweight and obesity prevalence cannot be explained by genetic factors alone, which also suggests that we need to further explore the related environmental factors. Previous research has demonstrated a correlation between childhood obesity and the environmental factors present in preschools and schools.38–40 Additionally, the correlations between obesity and family factors such as parental nutritional knowledge,13 nutritional status14 and feeding attitudes41 have been studied in recent years. However, limited focus has been given to the impact of the health behaviours of children’s caregivers. In this study, we focused on caregivers’ exercise-related and diet-related health behaviours, and the results showed that both aspects had an impact on childhood overweight and obesity. This study demonstrated that compared with a caregiver exercise frequency of less than once per week, a caregiver exercise frequency of three or more times per week was a significant protective factor against overweight and obesity in children; however, a caregiver exercise frequency of one or two times per week did not yield improvements in the outcomes of childhood overweight and obesity. In addition, encouragement of physical activity for children also served as a protective factor. Interestingly, the results showed that there was no significant correlation between the duration of each exercise session (<30 min, 30–60 min and ≥60 min) in caregivers and nutritional status in children. This finding implies that the regular exercise habits of caregivers are associated with children’s health outcomes. Garcia *et al* posited that parents may serve as exercise models, especially for younger children.42 One previous study showed that children with active parents tend to have higher activity levels.43 Another study on the influences of parental behaviour also indicated that increased parental club sport participation was associated with increased children’s club sport participation (OR mother=1.9, OR father=1.7).20 Additionally, shared activities between parents and children have been suggested as possibly increasing children’s physical activity levels.44 Furthermore, it is possible that physically active parents are more likely to provide support, such as transportation to facilities or sport events, as they put a higher value on physical activity.45 These may be the relevant mechanisms by which caregivers’ physical activity influences child physical activity and, ultimately, overweight/obesity risk. WHO recommends that adults have 150 min of moderate-intensity, or 75 min of vigorous-intensity physical activity, or equivalent, per week. However, insufficient physical activity is very common in modern society around the world. New data show that nearly one-third (31%) of adults worldwide, approximately 1.8 billion people, did not meet the recommended levels.46 Similarly, an epidemiological survey of 146 countries and regions revealed that 81% of children and adolescents worldwide have insufficient physical activity.47 Insufficient physical activity and sedentary behaviour increase the risk of overweight and obesity in children.48 WHO is calling on countries to promote and encourage sports through relevant measures. Caregivers must be reminded of their vital role in influencing their children’s health outcomes. It is essential to focus on caregivers’ exercise behaviours to effectively cultivate children’s exercise routines and prevent childhood obesity. In terms of caregivers’ dietary health behaviours, the findings of this study indicated that irregular eating patterns among caregivers pose a risk for childhood overweight and obesity. Compared with the consumption of sweets or fast food one time or less per week, the consumption of sweets more than two times per week or fast food four times per week was positively associated with childhood overweight and obesity. However, an increased frequency of having late-night snacks did not contribute to a greater incidence of childhood overweight and obesity. The preschool period plays a pivotal role in shaping children’s eating behaviours.49 A randomised controlled trial showed that parent nutrition patterns significantly influence their preschool-age children’s healthy lifestyle habits. Specifically, parents in the intervention group who received health behaviour education curriculum showed a significant reduction in children’s junk food intake, while those who did not attend the course significantly increased their children’s junk food consumption.50 Sweets have greater appeal to children. Infants possess an inherent inclination towards sweetness from birth, which can be further influenced and reinforced through acquired exposure. In this survey, 33.3% of the caregivers reported consuming sweets two or more times per week, while 8.7% consumed them four or more times per week. The frequent consumption of sweets by caregivers may be easily observed, learnt and reinforced by children, leading to their excessive dependence on such foods. Relevant studies have indicated an excessive intake of sugar among children and adolescents.51 52 Studies conducted in China have also revealed that 25.8% of primary and middle school students consume sweets every day.53 Too much sweet food intake can result in imbalanced nutritional intake, reduced dietary diversity, and an increased risk of childhood overweight and obesity, and other chronic diseases.54 The family environment serves as the primary setting for children’s meals, and the healthy eating behaviours and preferences exhibited by family members and caregivers have a significant impact on children’s dietary habits through modelling.55 As primary role models and mentors for children, caregivers should exemplify appropriate health behaviours in their daily lives, curtail detrimental habits and guide children through personal conduct. Caregivers should be the target of future prevention programmes. This pivotal aspect plays a crucial role in the prevention and management of childhood overweight and obesity. In this study, all children except those in the overweight and obese group were classified as ‘non-overweight/non-obese’, which included some children with underweight status. Among the 1967 children studied, 151 were underweight, representing 7.7% of the total. We reanalysed the data after excluding underweight children and found that our primary conclusions remained consistent (online supplemental file 3). ### Supplementary data [[bmjopen-2024-086470supp003.pdf]](pending:yes) Furthermore, this study was conducted before the COVID-19 pandemic, which has resulted in several long-term changes to individuals’ lifestyle behaviours, including the increased prevalence of online shopping, takeout services, virtual meetings and online learning. These shifts may contribute to a reduction in the level of physical activity that families and children engage in during these activities. Concurrently, the postpandemic era has also seen a heightened emphasis on health among the Chinese population, evidenced by a growing fitness trend and an increased focus on healthy eating.56 57 Although there have been notable lifestyle changes following the pandemic, the basic pattern of the family as an important component of a child’s growth environment has not fundamentally changed. In particular, family exercise and dietary habits, as one of the key factors in health-related behaviours, have existed both before and after the pandemic and continue to have an impact on childhood overweight and obesity. Therefore, we believe our research conclusions remain applicable in the post-COVID-19 context. In future research, these new factors from lifestyle changes after the epidemic should be considered. ### Strengths and limitations This study investigates the relationship of caregivers’ own health behaviours with overweight and obesity among children in China, where the prevalence of overweight/obesity is on the rise due to ongoing rapid development and transformation of social economy. In addition, the influence of confounding factors was effectively controlled by the multivariate logistic regression method. This study also has several limitations. First, it should be noted that this was a cross-sectional study without longitudinal follow-up of children and caregivers, so causal relationships between risk factors and overweight/obesity cannot be determined. Second, the use of questionnaire surveys in this study may introduce certain subjectivity and recall bias. Additionally, the information collected on health-related behaviours and the family environment was limited in scope. Furthermore, the interactions and influences of multiple caregivers on a given child have not been adequately considered. Future studies should take these factors into consideration to enhance the comprehensiveness of the design and provide more valuable insights for preventing and controlling childhood overweight and obesity. ## Conclusion Our study revealed associations between the health-related behaviours of caregivers and childhood overweight and obesity. These insights suggest that we should pay attention to the influence of caregivers’ own health-related behaviours on children, and comprehensive prevention and control measures that are led by family and caregivers should be developed. Caregivers themselves should adhere to healthy exercise and dietary patterns, play a positive role in family life, and correct family sharing environments that are not conducive to children’s health, with the aim of preventing overweight and obesity in childhood. ## Data availability statement Data are available on reasonable request. ## Ethics statements ### Patient consent for publication Not applicable. ### Ethics approval This study involves human participants and was approved by Ethics Committee of Beijing Children’s Hospital, Capital Medical University, code no. 2018-k-99. Participants gave informed consent to participate in the study before taking part. ## Acknowledgments The authors thank all team members and participants for their support to this study. ## Footnotes * Contributors WJ collected and analysed the data, and wrote the main manuscript text. JD and XL participated in the data collection and supervision. YH searched and analysed the relevant literatures. AL and XX designed the study and revised critically the manuscript. All authors reviewed the manuscript. XX is the guarantor. * Funding This study is funded by Beijing Hospital Authority, China (Grant No. XTZD20180404)). * Competing interests None declared. * Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research. * Provenance and peer review Not commissioned; externally peer reviewed. * Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise. [http://creativecommons.org/licenses/by-nc/4.0/](http://creativecommons.org/licenses/by-nc/4.0/) This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: [http://creativecommons.org/licenses/by-nc/4.0/](http://creativecommons.org/licenses/by-nc/4.0/). ## References 1. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017;390:2627–42. [doi:10.1016/S0140-6736(17)32129-3](http://dx.doi.org/10.1016/S0140-6736(17)32129-3) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=doi:10.1016/S0140-6736(17)32129-3&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=29029897&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 2. Ma J, Cai C, Wang H, et al. The trend analysis of overweight and obesity in Chinese students during 1985 - 2010. Zhonghua Yu Fang Yi Xue Za Zhi 2012;46:776–80. [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=23157879&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 3. Wang S, Dong YH, Wang ZH, et al. Trends in overweight and obesity among Chinese children of 7-18 years old during 1985-2014. Zhonghua Yu Fang Yi Xue Za Zhi 2017;51:300–5. [doi:10.3760/cma.j.issn.0253-9624.2017.04.005](http://dx.doi.org/10.3760/cma.j.issn.0253-9624.2017.04.005) 4. Pan X-F, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol 2021;9:373–92. [doi:10.1016/S2213-8587(21)00045-0](http://dx.doi.org/10.1016/S2213-8587(21)00045-0) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=34022156&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 5. GBD 2015 Obesity Collaborators, Afshin A, Forouzanfar MH, et al. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med 2017;377:13–27. [doi:10.1056/NEJMoa1614362](http://dx.doi.org/10.1056/NEJMoa1614362) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1056/NEJMoa1614362&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=28604169&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 6. Gregg EW, Shaw JE. Global Health Effects of Overweight and Obesity. N Engl J Med 2017;377:80–1. [doi:10.1056/NEJMe1706095](http://dx.doi.org/10.1056/NEJMe1706095) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1056/NEJMe1706095&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=28604226&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 7. Piché M-E, Tchernof A, Després J-P. Obesity Phenotypes, Diabetes, and Cardiovascular Diseases. Circ Res 2020;126:1477–500. [doi:10.1161/CIRCRESAHA.120.316101](http://dx.doi.org/10.1161/CIRCRESAHA.120.316101) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1161/CIRCRESAHA.120.316101&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=32437302&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 8. Strazzullo P, D’Elia L, Cairella G, et al. Excess body weight and incidence of stroke: meta-analysis of prospective studies with 2 million participants. Stroke 2010;41:e418–26. [doi:10.1161/STROKEAHA.109.576967](http://dx.doi.org/10.1161/STROKEAHA.109.576967) [Abstract/FREE Full Text](http://bmjopen.bmj.com/lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6OToic3Ryb2tlYWhhIjtzOjU6InJlc2lkIjtzOjk6IjQxLzUvZTQxOCI7czo0OiJhdG9tIjtzOjI2OiIvYm1qb3Blbi8xNS8yL2UwODY0NzAuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 9. Yan Y, Li S, Liu Y, et al. The impact of body weight trajectory from childhood on chronic inflammation in adulthood: The Bogalusa Heart Study. Pediatr Investig 2021;5:21–7. [doi:10.1002/ped4.12248](http://dx.doi.org/10.1002/ped4.12248) 10. Weihrauch-Blüher S, Schwarz P, Klusmann J-H. Childhood obesity: increased risk for cardiometabolic disease and cancer in adulthood. Metab Clin Exp 2019;92:147–52. [doi:10.1016/j.metabol.2018.12.001](http://dx.doi.org/10.1016/j.metabol.2018.12.001) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=30529454&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 11. Lister NB, Baur LA, Felix JF, et al. Child and adolescent obesity. Nat Rev Dis Primers 2023;9:24. [doi:10.1038/s41572-023-00435-4](http://dx.doi.org/10.1038/s41572-023-00435-4) 12. Santos MD, Ferrari G, Drenowatz C, et al. Association between breastfeeding, parents’ body mass index and birth weight with obesity indicators in children. BMC Pediatr 2022;22:604. [doi:10.1186/s12887-022-03641-3](http://dx.doi.org/10.1186/s12887-022-03641-3) 13. Mazurkiewicz A, Raczkowska E. The Connection between Knowledge and the Nutritional Behaviour of Parents and the Occurrence of Overweight and Obesity among Preschool Children-A Pilot Study. Nutrients 2024;16:174. [doi:10.3390/nu16010174](http://dx.doi.org/10.3390/nu16010174) 14. Zoghby HB, Sfeir E, Akel M, et al. Knowledge, attitude and practice of Lebanese parents towards childhood overweight/obesity: the role of parent-physician communication. BMC Pediatr 2022;22:209. [doi:10.1186/s12887-022-03279-1](http://dx.doi.org/10.1186/s12887-022-03279-1) 15. Janicke DM, Mitchell TB, Pinto S, et al. Latent profiles of the feeding practices of caregivers of rural children with overweight and obesity and associations with child eating behaviors. Appetite 2022;171. [doi:10.1016/j.appet.2022.105911](http://dx.doi.org/10.1016/j.appet.2022.105911) 16. Herle M, Pickles A, Micali N, et al. Parental feeding and childhood genetic risk for obesity: exploring hypothetical interventions with causal inference methods. Int J Obes 2022;46:1271–9. [doi:10.1038/s41366-022-01106-2](http://dx.doi.org/10.1038/s41366-022-01106-2) 17. Jones BL, Fiese BH. Parent routines, child routines, and family demographics associated with obesity in parents and preschool-aged children. Front Psychol 2014;5. [doi:10.3389/fpsyg.2014.00374](http://dx.doi.org/10.3389/fpsyg.2014.00374) 18. Rea CJ, Smith RL, Taveras EM. Associations of Parent Health Behaviors and Parenting Practices with Sleep Duration in Overweight and Obese Children. J Clin Sleep Med 2016;12:1493–8. [doi:10.5664/jcsm.6274](http://dx.doi.org/10.5664/jcsm.6274) 19. Ishii K, Shibata A, Koohsari MJ, et al. The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis. BMC Public Health 2022;22:2190. [doi:10.1186/s12889-022-14664-x](http://dx.doi.org/10.1186/s12889-022-14664-x) 20. Drenowatz C, Erkelenz N, Wartha O, et al. Parental characteristics have a larger effect on children’s health behaviour than their body weight. Obes Facts 2014;7:388–98. [doi:10.1159/000369984](http://dx.doi.org/10.1159/000369984) 21. Yu H-J, Li F, Hu Y-F, et al. Improving the Metabolic and Mental Health of Children with Obesity: A School-Based Nutrition Education and Physical Activity Intervention in Wuhan, China. Nutrients 2020;12:194. [doi:10.3390/nu12010194](http://dx.doi.org/10.3390/nu12010194) 22. Liberali R, Kupek E, Assis MAA de. Dietary Patterns and Childhood Obesity Risk: A Systematic Review. Child Obes 2020;16:70–85. [doi:10.1089/chi.2019.0059](http://dx.doi.org/10.1089/chi.2019.0059) 23. Miller MA, Bates S, Ji C, et al. Systematic review and meta-analyses of the relationship between short sleep and incidence of obesity and effectiveness of sleep interventions on weight gain in preschool children. Obes Rev 2021;22:e13113. [doi:10.1111/obr.13113](http://dx.doi.org/10.1111/obr.13113) 24. Calcaterra V, Rossi V, Tagi VM, et al. Food Intake and Sleep Disorders in Children and Adolescents with Obesity. Nutrients 2023;15:4736. [doi:10.3390/nu15224736](http://dx.doi.org/10.3390/nu15224736) 25. Schratz LM, Larkin O, Dos Santos N, et al. Caregiver Influences on Eating Behaviors in Children: An Opportunity for Preventing Obesity. Curr Atheroscler Rep 2023;25:1035–45. [doi:10.1007/s11883-023-01171-6](http://dx.doi.org/10.1007/s11883-023-01171-6) 26. Organization WH. Nurturing care for early child-hood development: a framework for helping children survive and thrive to transform health and human potential: executive summary [R]. 2018. 27. Norwitz GA, Desmond C, Gruver RS, et al. The impact of caregiver mental health on child prosocial behavior: A longitudinal analysis of children and caregivers in KwaZulu-Natal, South Africa. PLoS ONE 2023;18:e0290788. [doi:10.1371/journal.pone.0290788](http://dx.doi.org/10.1371/journal.pone.0290788) 28. Winters KL, Byrd CT. Caregiver Predictions of Their 3- to 6-Year-Old Child Who Stutters’ Communication Attitude. J Speech Lang Hear Res 2024;67:2086–105. [doi:10.1044/2024\_JSLHR-23-00662](http://dx.doi.org/10.1044/2024_JSLHR-23-00662) 29. Killion K, Harris JL, Duffy VB. Caregiver perceptions of snacks for young children: A thematic synthesis of qualitative research. Appetite 2023;188. [doi:10.1016/j.appet.2023.106628](http://dx.doi.org/10.1016/j.appet.2023.106628) 30. Pampel FC, Krueger PM, Denney JT. Socioeconomic Disparities in Health Behaviors. Annu Rev Sociol 2010;36:349–70. [doi:10.1146/annurev.soc.012809.102529](http://dx.doi.org/10.1146/annurev.soc.012809.102529) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1146/annurev.soc.012809.102529&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=21909182&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 31. Loprinzi PD. Health behavior characteristics and all-cause mortality. Prev Med Rep 2016;3:276–8. [doi:10.1016/j.pmedr.2016.03.013](http://dx.doi.org/10.1016/j.pmedr.2016.03.013) 32. Li H, Ji C-Y, Zong X-N, et al. Body mass index growth curves for Chinese children and adolescents aged 0 to 18 years. Zhong Er Ke Za Zhi 2009;47:493–8. 33. Zhou B-F, CM-AGotWGoOi C. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 2002;15:83–96. [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=12046553&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=000174775800011&link_type=ISI) 34. Guo X, Zheng L, Li Y, et al. Prevalence and risk factors of being overweight or obese among children and adolescents in northeast China. Pediatr Res 2013;74:443–9. [doi:10.1038/pr.2013.116](http://dx.doi.org/10.1038/pr.2013.116) 35. Sigmund E, Sigmundová D, Badura P, et al. Health-related parental indicators and their association with healthy weight and overweight/obese children’s physical activity. BMC Public Health 2018;18:676. [doi:10.1186/s12889-018-5582-7](http://dx.doi.org/10.1186/s12889-018-5582-7) 36. Golan M, Crow S. Parents are key players in the prevention and treatment of weight-related problems. Nutr Rev 2004;62:39–50. [doi:10.1111/j.1753-4887.2004.tb00005.x](http://dx.doi.org/10.1111/j.1753-4887.2004.tb00005.x) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1301/nr.2004.jan.39-50&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=14995056&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=000227433500005&link_type=ISI) 37. Healthy China initiative (2019-2030). n.d. Available: [https://www.gov.cn/xinwen/2019-07/15/content_5409694.htm](https://www.gov.cn/xinwen/2019-07/15/content_5409694.htm) 38. An R, Yan H, Shi X, et al. Childhood obesity and school absenteeism: a systematic review and meta-analysis. Obes Rev 2017;18:1412–24. [doi:10.1111/obr.12599](http://dx.doi.org/10.1111/obr.12599) 39. Vazquez CE, McBride MJ, Hess KE, et al. Examining School and Neighborhood Effects of Socioeconomic Status on Childhood Obesity in the U.S. Int J Environ Res Public Health 2022;19:5831. [doi:10.3390/ijerph19105831](http://dx.doi.org/10.3390/ijerph19105831) 40. Hu Y, He J-R, Liu F-H, et al. Effectiveness of a Kindergarten-Based Intervention for Preventing Childhood Obesity. Pediatrics 2017;140. [doi:10.1542/peds.2017-1221](http://dx.doi.org/10.1542/peds.2017-1221) 41. Mahmood L, Flores-Barrantes P, Moreno LA, et al. The Influence of Parental Dietary Behaviors and Practices on Children’s Eating Habits. Nutrients 2021;13:1138. [doi:10.3390/nu13041138](http://dx.doi.org/10.3390/nu13041138) 42. Garcia AW, Broda MA, Frenn M, et al. Gender and developmental differences in exercise beliefs among youth and prediction of their exercise behavior. J Sch Health 1995;65:213–9. [doi:10.1111/j.1746-1561.1995.tb03365.x](http://dx.doi.org/10.1111/j.1746-1561.1995.tb03365.x) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1111/j.1746-1561.1995.tb03365.x&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=7564283&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=A1995RU79000002&link_type=ISI) 43. Van Der Horst K, Paw MJCA, Twisk JWR, et al. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sports Exerc 2007;39:1241–50. [doi:10.1249/mss.0b013e318059bf35](http://dx.doi.org/10.1249/mss.0b013e318059bf35) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1249/mss.0b013e318059bf35&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=17762356&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=000248581500006&link_type=ISI) 44. Moore LL, Lombardi DA, White MJ, et al. Influence of parents’ physical activity levels on activity levels of young children. J Pediatr 1991;118:215–9. [doi:10.1016/s0022-3476(05)80485-8](http://dx.doi.org/10.1016/s0022-3476(05)80485-8) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1016/S0022-3476(05)80485-8&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=1993947&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=A1991EX30200008&link_type=ISI) 45. Gustafson SL, Rhodes RE. Parental Correlates of Physical Activity in Children and Early Adolescents. Sports Med 2006;36:79–97. [doi:10.2165/00007256-200636010-00006](http://dx.doi.org/10.2165/00007256-200636010-00006) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.2165/00007256-200636010-00006&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=16445312&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) [Web of Science](http://bmjopen.bmj.com/lookup/external-ref?access_num=000235665200006&link_type=ISI) 46. Strain T, Flaxman S, Guthold R, et al. National, regional, and global trends in insufficient physical activity among adults from 2000 to 2022: a pooled analysis of 507 population-based surveys with 5·7 million participants. Lancet Glob Health 2024;12:e1232–43. [doi:10.1016/S2214-109X(24)00150-5](http://dx.doi.org/10.1016/S2214-109X(24)00150-5) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1016/S2214-109X(24)00150-5&link_type=DOI) 47. Guthold R, Stevens GA, Riley LM, et al. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health 2020;4:23–35. [doi:10.1016/S2352-4642(19)30323-2](http://dx.doi.org/10.1016/S2352-4642(19)30323-2) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1016/S2352-4642(19)30323-2&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=31761562&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 48. Brown T, Moore TH, Hooper L, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2019;7:CD001871. [doi:10.1002/14651858.CD001871.pub4](http://dx.doi.org/10.1002/14651858.CD001871.pub4) 49. Scaglioni S, De Cosmi V, Ciappolino V, et al. Factors Influencing Children’s Eating Behaviours. Nutrients 2018;10:706. [doi:10.3390/nu10060706](http://dx.doi.org/10.3390/nu10060706) 50. Natale RA, Messiah SE, Asfour L, et al. Role modeling as an early childhood obesity prevention strategy: effect of parents and teachers on preschool children’s healthy lifestyle habits. J Dev Behav Pediatr 2014;35:378–87. [doi:10.1097/DBP.0000000000000074](http://dx.doi.org/10.1097/DBP.0000000000000074) [CrossRef](http://bmjopen.bmj.com/lookup/external-ref?access_num=10.1097/DBP.0000000000000074&link_type=DOI) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=25007060&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 51. Trude ACB, Surkan PJ, Cheskin LJ, et al. A multilevel, multicomponent childhood obesity prevention group-randomized controlled trial improves healthier food purchasing and reduces sweet-snack consumption among low-income African-American youth. Nutr J 2018;17:96. [doi:10.1186/s12937-018-0406-2](http://dx.doi.org/10.1186/s12937-018-0406-2) 52. Fidler Mis N, Braegger C, Bronsky J, et al. Sugar in Infants, Children and Adolescents: A Position Paper of the European Society for Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition. J Pediatr Gastroenterol Nutr 2017;65:681–96. [doi:10.1097/MPG.0000000000001733](http://dx.doi.org/10.1097/MPG.0000000000001733) [PubMed](http://bmjopen.bmj.com/lookup/external-ref?access_num=28922262&link_type=MED&atom=%2Fbmjopen%2F15%2F2%2Fe086470.atom) 53. Zhao G, Zhao LJ, Zhu B. Study on the obesity-related factors among primary and middle school students in Hangzhou. Zhonghua Liu Xing Bing Xue Za Zhi 2023;44:617–23. [doi:10.3760/cma.j.cn112338-20221117-00978](http://dx.doi.org/10.3760/cma.j.cn112338-20221117-00978) 54. Jakobsen DD, Brader L, Bruun JM. Association between Food, Beverages and Overweight/Obesity in Children and Adolescents-A Systematic Review and Meta-Analysis of Observational Studies. Nutrients 2023;15:764. [doi:10.3390/nu15030764](http://dx.doi.org/10.3390/nu15030764) 55. Pereira AR, Oliveira A. Dietary Interventions to Prevent Childhood Obesity: A Literature Review. Nutrients 2021;13:3447. [doi:10.3390/nu13103447](http://dx.doi.org/10.3390/nu13103447) 56. YICAI and JD Health. Has your consumption become healthier post-pandemic? - 2023 Health Consumption Survey Report. [https://tech.cnr.cn/techph/20230328/t20230328\_526197585.shtml](https://tech.cnr.cn/techph/20230328/t20230328_526197585.shtml) 57. Qi X, Mou J, Meng C, et al. Factors Influencing Consumers’ Organic Food Continuous Purchase Intentions during the Post-Pandemic Era: An Empirical Investigation in China. Foods 2023;12:1636. [doi:10.3390/foods12081636](http://dx.doi.org/10.3390/foods12081636)