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This study investigated the extent to which adolescent social network positions are associated with the risk of lifetime daily smoking and nicotine dependence (ND), and whether these associations differ by gender. Using data from the National Longitudinal Study of Adolescent to Adult Health (N = 6,267), this study estimated multinomial logistic regression models. An increase in in-degree nominations, out-degree nominations, and Bonacich centrality was associated with a lower relative risk of never smoking daily versus ever smoking daily. By contrast, adolescents with greater in-degree nominations, out-degree nominations, Bonacich centrality, and network reach in three steps were at decreased risk for lifetime ND. Gender-stratified models indicate that the negative association between network position and never smoking daily was driven largely by women, whereas the positive association between network position and lifetime ND was driven largely by men. Incorporating social network structural approaches into adolescent smoking prevention efforts may be beneficial.

This study investigated the extent to which adolescent social network positions are associated with the risk of lifetime daily smoking and nicotine dependence (ND), and whether these associations differ by gender. Using data from the National Longitudinal Study of Adolescent to Adult Health (N = 6,267), this study estimated multinomial logistic regression models. An increase in in-degree nominations, out-degree nominations, and Bonacich centrality was associated with a lower relative risk of never smoking daily versus ever smoking daily. By contrast, adolescents with greater in-degree nominations, out-degree nominations, Bonacich centrality, and network reach in three steps were at decreased risk for lifetime ND. Gender-stratified models indicate that the negative association between network position and never smoking daily was driven largely by women, whereas the positive association between network position and lifetime ND was driven largely by men. Incorporating social network structural approaches into adolescent smoking prevention efforts may be beneficial. [ABSTRACT FROM AUTHOR]

Background: Inequalities in child mortality occur via interactions between socio-environmental factors and their constituents. Through childhood developmental stages, we can observe changing patterns of mortality. By investigating these patterns and social inequalities by cause and developmental stage, we aim to gain insights into health policies to reduce and equalize childhood mortality., Methods: Using vital statistics, we examined the Korean birth cohort of 2012, including all children born in 2012 up to five years of age (N = 466,636). The dependent variables were all-cause and cause-specific mortality by developmental stage (i.e., neonatal, post-neonatal, and childhood). A Cox proportional hazard regression model was built to compare child mortality according to maternal education. The distribution of inequalities in cause-specific mortality by child age was calculated using the slope index of inequality (SII)., Results: Inequalities in child mortality due to maternal education occur during the neonatal period and increase over time. After adjusting for covariates, the Cox proportional hazard models showed that "injury and external causes" (HR = 2.178; 95% CI = [1.283-3.697]) and "unknown causes" (HR = 2.299; 95% CI = [1.572-3.363]) in the post-neonatal period, and "injury and external causes" (HR = 2.153; 95% CI = [1.347-3.440]) in the childhood period significantly contributed to socioeconomic inequalities in child mortality. For each period, the leading causes of inequality were identified as follows: "congenital" (96.7%) for the neonatal period, "unknown causes" (58.2%) and "injury and external causes" (28.4%) for the post-neonatal period, and "injury and external causes" (56.5%) for the childhood period., Conclusion: We confirmed that the main causes of death in mortality inequality vary according to child age, in accordance with the distinctive context of child development. Strengthening the health system and multisectoral efforts that consider families' and children's needs according to spatial contexts (e.g., home, community) may be necessary to address the social inequalities in child health., Competing Interests: None., (© 2022 The Authors.)