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Open Access February 13, 2025

Psychosocial Correlates of Childhood Body Mass Index: Racial and Ethnic Differences

Abstract 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 [...] Read more.
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.
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Open Access October 30, 2024

Social Determinants of Successful Smoking Cessation: An Eight-Year Analysis of Population Assessment of Tobacco and Health (PATH) Data

Abstract Background: Smoking cessation is a crucial public health goal due to its substantial impact on reducing the morbidity and mortality associated with tobacco use. However, significant disparities in smoking cessation success persist across socioeconomic groups in the United States. Objectives: This study aimed to examine differences in smoking cessation rates among daily smokers [...] Read more.
Background: Smoking cessation is a crucial public health goal due to its substantial impact on reducing the morbidity and mortality associated with tobacco use. However, significant disparities in smoking cessation success persist across socioeconomic groups in the United States. Objectives: This study aimed to examine differences in smoking cessation rates among daily smokers based on race, ethnicity, and socioeconomic status (SES) using data from the Population Assessment of Tobacco and Health (PATH) study, spanning waves 1 to 6 (eight years). Methods: Longitudinal data from PATH were analyzed, focusing on baseline daily cigarette smokers followed over an eight-year period to assess cessation outcomes. SES was measured by education and poverty status. Successful smoking cessation was defined as sustained abstinence from cigarettes for 12 months or more at the final wave. Logistic regression models identified predictors of successful cessation, adjusting for potential confounders, including age, nicotine dependence, and access to cessation resources. Results: The analysis revealed significant disparities in cessation success across racial, ethnic, and SES groups. Smokers living in poverty and those with lower educational attainment were less likely to achieve cessation success than their counterparts. Race (Black) and ethnicity (Latino) were also significantly associated with lower cessation success. Conclusions: This study highlights the social determinants of smoking cessation success among U.S. adult smokers, with lower success rates observed among those in poverty and with less educational attainment. These findings emphasize the need for targeted interventions that address the unique barriers to cessation faced by low-SES groups. Public health strategies should prioritize equitable access to cessation resources and culturally tailored interventions to reduce these disparities and improve cessation outcomes among all smokers.
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Keyword:  Racial/Ethnic Differences

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