{"title":"儿童体重指数的社会心理关联:种族和民族差异。","authors":"Shervin Assari, Hossein Zare","doi":"10.31586/gjcd.2025.1180","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To examine racial/ethnic differences in the associations of family socioeconomic status (SES), neighborhood SES, and inhibitory control with body mass index (BMI) in 9-10-year-old children using data from the Adolescent Brain Cognitive Development (ABCD) study.</p><p><strong>Methods: </strong>This cross-sectional study included a diverse sample of children aged 9-10 years, representing non-Latino White, Black, Latino, Asian, and Other racial/ethnic groups. BMI was the primary outcome. Key predictors were family SES, neighborhood SES, and inhibitory control. Multivariable regression models were stratified by race/ethnicity to identify group-specific associations.</p><p><strong>Results: </strong>Race/ethnic groups differed in psychosocial correlates of childhood BMI at age 9 and 10. Among non-Latino White children, higher family income (B = -0.086, p < 0.001), higher parental education (B = -0.069, p < 0.001), and living in a married household (B = -0.079, p < 0.001) were associated with lower BMI. Additionally, the presence of healthy food options in the zip code (B = -0.030, p = 0.032) was linked to lower BMI, while lack of planning (B = 0.032, p = 0.030) was associated with higher BMI. For non-Latino Black children, positive urgency (B = -0.068, p = 0.022) was negatively associated with BMI, while other factors such as family SES and neighborhood SES did not show significant associations. For Latino children, higher family income (B = -0.093, p = 0.001) and parental education (B = -0.099, p < 0.001) were associated with lower BMI. In this group, male gender (B = 0.043, p = 0.033) was associated with higher BMI. Among Asian children, higher family income (B = -0.199, p = 0.006) and parental education (B = -0.144, p = 0.037) were significantly associated with lower BMI. For children in the \"Other\" racial/ethnic category, higher family income (B = -0.101, p = 0.023), living in a married household (B = -0.076, p = 0.026), and higher median income in the zip code (B = -0.083, p = 0.013) were associated with lower BMI. In this group, male children had lower BMI compared to females (B = -0.089, p = 0.001).</p><p><strong>Conclusion: </strong>The findings highlight substantial racial/ethnic differences in the psychosocial and socioeconomic correlates of BMI in children. There is a need for tailored interventions that target social determinants of childhood high BMI. One size does not fit all.</p>","PeriodicalId":520306,"journal":{"name":"Global journal of cardiovascular diseases","volume":"4 1","pages":"34-49"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11870657/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychosocial Correlates of Childhood Body Mass Index: Racial and Ethnic Differences.\",\"authors\":\"Shervin Assari, Hossein Zare\",\"doi\":\"10.31586/gjcd.2025.1180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To examine racial/ethnic differences in the associations of family socioeconomic status (SES), neighborhood SES, and inhibitory control with body mass index (BMI) in 9-10-year-old children using data from the Adolescent Brain Cognitive Development (ABCD) study.</p><p><strong>Methods: </strong>This cross-sectional study included a diverse sample of children aged 9-10 years, representing non-Latino White, Black, Latino, Asian, and Other racial/ethnic groups. BMI was the primary outcome. Key predictors were family SES, neighborhood SES, and inhibitory control. Multivariable regression models were stratified by race/ethnicity to identify group-specific associations.</p><p><strong>Results: </strong>Race/ethnic groups differed in psychosocial correlates of childhood BMI at age 9 and 10. Among non-Latino White children, higher family income (B = -0.086, p < 0.001), higher parental education (B = -0.069, p < 0.001), and living in a married household (B = -0.079, p < 0.001) were associated with lower BMI. Additionally, the presence of healthy food options in the zip code (B = -0.030, p = 0.032) was linked to lower BMI, while lack of planning (B = 0.032, p = 0.030) was associated with higher BMI. For non-Latino Black children, positive urgency (B = -0.068, p = 0.022) was negatively associated with BMI, while other factors such as family SES and neighborhood SES did not show significant associations. For Latino children, higher family income (B = -0.093, p = 0.001) and parental education (B = -0.099, p < 0.001) were associated with lower BMI. In this group, male gender (B = 0.043, p = 0.033) was associated with higher BMI. Among Asian children, higher family income (B = -0.199, p = 0.006) and parental education (B = -0.144, p = 0.037) were significantly associated with lower BMI. For children in the \\\"Other\\\" racial/ethnic category, higher family income (B = -0.101, p = 0.023), living in a married household (B = -0.076, p = 0.026), and higher median income in the zip code (B = -0.083, p = 0.013) were associated with lower BMI. In this group, male children had lower BMI compared to females (B = -0.089, p = 0.001).</p><p><strong>Conclusion: </strong>The findings highlight substantial racial/ethnic differences in the psychosocial and socioeconomic correlates of BMI in children. There is a need for tailored interventions that target social determinants of childhood high BMI. One size does not fit all.</p>\",\"PeriodicalId\":520306,\"journal\":{\"name\":\"Global journal of cardiovascular diseases\",\"volume\":\"4 1\",\"pages\":\"34-49\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11870657/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global journal of cardiovascular diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31586/gjcd.2025.1180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global journal of cardiovascular diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31586/gjcd.2025.1180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/13 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:利用青少年大脑认知发展(ABCD)研究数据,探讨9-10岁儿童的家庭社会经济地位(SES)、邻里社会经济地位(SES)和抑制控制与体重指数(BMI)之间的种族差异。方法:这项横断面研究包括9-10岁儿童的不同样本,代表非拉丁裔白人、黑人、拉丁裔、亚洲人和其他种族/民族群体。BMI是主要指标。主要预测因子为家庭经济地位、邻里经济地位和抑制控制。多变量回归模型按种族/民族分层,以确定群体特异性关联。结果:种族/民族在9岁和10岁儿童BMI的社会心理相关因素上存在差异。在非拉丁裔白人儿童中,较高的家庭收入(B = -0.086, p < 0.001)、较高的父母教育程度(B = -0.069, p < 0.001)和生活在已婚家庭(B = -0.079, p < 0.001)与较低的BMI相关。此外,邮政编码地区健康食品选择的存在(B = -0.030, p = 0.032)与较低的BMI有关,而缺乏规划(B = 0.032, p = 0.030)与较高的BMI有关。对于非拉丁裔黑人儿童,积极急迫感(B = -0.068, p = 0.022)与BMI呈负相关,而其他因素如家庭经济地位和社区经济地位等与BMI无显著相关。对于拉丁裔儿童,较高的家庭收入(B = -0.093, p = 0.001)和父母教育程度(B = -0.099, p < 0.001)与较低的BMI相关。在该组中,男性(B = 0.043, p = 0.033)与较高的BMI相关。在亚洲儿童中,较高的家庭收入(B = -0.199, p = 0.006)和父母教育程度(B = -0.144, p = 0.037)与较低的BMI显著相关。对于“其他”种族/民族类别的儿童,较高的家庭收入(B = -0.101, p = 0.023),生活在已婚家庭(B = -0.076, p = 0.026)和较高的邮政编码中位数收入(B = -0.083, p = 0.013)与较低的BMI相关。在这一组中,男孩的BMI低于女孩(B = -0.089, p = 0.001)。结论:研究结果强调了儿童BMI在社会心理和社会经济相关方面的重大种族/民族差异。有必要针对儿童高BMI的社会决定因素进行量身定制的干预。一种方式不适合所有人。
Psychosocial Correlates of Childhood Body Mass Index: Racial and Ethnic Differences.
Objective: To examine racial/ethnic differences in the associations of family socioeconomic status (SES), neighborhood SES, and inhibitory control with body mass index (BMI) in 9-10-year-old children using data from the Adolescent Brain Cognitive Development (ABCD) study.
Methods: This cross-sectional study included a diverse sample of children aged 9-10 years, representing non-Latino White, Black, Latino, Asian, and Other racial/ethnic groups. BMI was the primary outcome. Key predictors were family SES, neighborhood SES, and inhibitory control. Multivariable regression models were stratified by race/ethnicity to identify group-specific associations.
Results: Race/ethnic groups differed in psychosocial correlates of childhood BMI at age 9 and 10. Among non-Latino White children, higher family income (B = -0.086, p < 0.001), higher parental education (B = -0.069, p < 0.001), and living in a married household (B = -0.079, p < 0.001) were associated with lower BMI. Additionally, the presence of healthy food options in the zip code (B = -0.030, p = 0.032) was linked to lower BMI, while lack of planning (B = 0.032, p = 0.030) was associated with higher BMI. For non-Latino Black children, positive urgency (B = -0.068, p = 0.022) was negatively associated with BMI, while other factors such as family SES and neighborhood SES did not show significant associations. For Latino children, higher family income (B = -0.093, p = 0.001) and parental education (B = -0.099, p < 0.001) were associated with lower BMI. In this group, male gender (B = 0.043, p = 0.033) was associated with higher BMI. Among Asian children, higher family income (B = -0.199, p = 0.006) and parental education (B = -0.144, p = 0.037) were significantly associated with lower BMI. For children in the "Other" racial/ethnic category, higher family income (B = -0.101, p = 0.023), living in a married household (B = -0.076, p = 0.026), and higher median income in the zip code (B = -0.083, p = 0.013) were associated with lower BMI. In this group, male children had lower BMI compared to females (B = -0.089, p = 0.001).
Conclusion: The findings highlight substantial racial/ethnic differences in the psychosocial and socioeconomic correlates of BMI in children. There is a need for tailored interventions that target social determinants of childhood high BMI. One size does not fit all.