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Liu Y, Zhou X, Ding N, Song S, Gittelsohn J, Jiang N, Sundermeir SM, Ma Y, Wen D. Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake. SSM Popul Health 2024; 26:101636. [PMID: 38516526 PMCID: PMC10955631 DOI: 10.1016/j.ssmph.2024.101636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/23/2024] Open
Abstract
A series of influential articles suggests that obesity may spread between couples, siblings, and close friends via an obesity contagion phenomenon. Classmates, as important structural equivalents in one's social network, may experience obesity contagion. However, this has rarely been examined. Anthropometric measurements, questionnaire surveys, and geographic information were collected from 3670 children from 26 schools in Northeast China. We found that classmates were positively related in terms of body mass index (BMI), body fat, physical activity, and intake of vegetables, fruits, fast food, snacks, and sugar-sweetened beverages. One standard deviation (SD) increase in classmates' mean BMI and percentage body fat was associated with 0.19 SD higher individual BMI (95% confidence interval [CI]: 0.00, 0.39) and 0.31 SD higher percentage body fat (95% CI: 0.13, 0.48). Coefficients ranged from 0.48 to 0.76 in models for physical activity, and the dietary intake of vegetables, fruit, fast food, snacks, and sugar-sweetened beverages. Children's BMI and body fat were more strongly associated with the maximum and minimum body fat levels of their same-sex classmates than with those of their general classmates. Their dietary intake and physical activity were more strongly associated with the mean/median levels of their general classmates than with those of their same-sex classmates. This study suggests that children's BMI, body fat, physical activity, and dietary intake may be related to those of their classmates. Modeling healthy behaviors in the classroom may help children develop habits that support achieving and maintaining a healthy weight. Future interventions should consider the inclusion of classmates as a social network strategy for obesity prevention.
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Affiliation(s)
- Yang Liu
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Xiaobei Zhou
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Ning Ding
- China Medical University, Institute of International Medical Education, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Shenzhi Song
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Joel Gittelsohn
- Johns Hopkins Bloomberg School of Public Health, Department of International Health, Human Nutrition Center, Address: 615 North Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Nan Jiang
- China Medical University, Institute of International Medical Education, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Samantha M. Sundermeir
- Johns Hopkins Bloomberg School of Public Health, Department of International Health, Human Nutrition Center, Address: 615 North Wolfe St, Baltimore, MD, 21205-2179, USA
| | - Yanan Ma
- China Medical University, School of Public Health, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
| | - Deliang Wen
- China Medical University, Health Sciences Institute, Address: No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China
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Aguirre MDJX, Drumond Andrade FC, Aguirre MAC, Justino JR, Maciel BLL. Social Network, Food Patterns, Physical Activity and Associations with Overweight and Obesity in Adolescents from a School in Rural Brazil. Nutrients 2023; 15:3305. [PMID: 37571243 PMCID: PMC10421155 DOI: 10.3390/nu15153305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/08/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
The objective of this study was to evaluate the social network, food patterns, physical activity, and their associations with overweight/obesity in adolescents from a school in rural Brazil. Students from a rural school in Northeast Brazil (n = 90) completed questionnaires on sociodemographic characteristics, food consumption, physical activity, and a name generator. Social networks were constructed using students' social proximity ties. Principal component analysis was performed to determine food patterns, and logistic models were used to investigate variables associated with overweight/obesity. Most participants were girls (62.9%), and the proportion of overweight/obesity was 30% among adolescents. Students cited 2070 people from their networks (family, friends at school, friends outside of school, and others). Among them, the family had the highest degree of influence (61%) in the network and had the most shared meals with adolescents (47%). Adolescents' perception of their family members' body size as obese, compared to normal or underweight, was prevalent (51%). Adolescents with unhealthy food patterns were 72% more likely to be categorized as overweight/obese, and eigenvector centrality was also associated with overweight/obesity (OR = 5.88, 95% CI = 1.08-32.03). Adolescents presented a social network with strong family influence, in which a high percentage of overweight/obesity was observed. Adolescents with high eigenvector centrality were more likely to be in the overweight/obesity category. Additionally, overweight/obesity was associated with unhealthy food patterns in the family network.
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Affiliation(s)
| | | | | | - Josivan Ribeiro Justino
- Computer Science Academic Department, Federal University of Rondônia, Porto Velho 76808-695, Brazil
| | - Bruna Leal Lima Maciel
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
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