TY - JOUR
T1 - Neighborhood socioeconomic status and cardiometabolic risk
T2 - mediating roles of domain-specific physical activities and sedentary behaviors
AU - Lin, Chien Yu
AU - Chandrabose, Manoj
AU - Hadgraft, Nyssa
AU - Selvakumaran, Sungkavi
AU - Owen, Neville
AU - Oka, Koichiro
AU - Shibata, Ai
AU - Sugiyama, Takemi
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2023/7
Y1 - 2023/7
N2 - Purpose: We examined the potential mediating roles of domain-specific physical activities and sedentary behaviors in the relationship between area-level socioeconomic status (SES) and cardiometabolic risk. Methods: Data were from the 2011/2012 Australian Diabetes, Obesity and Lifestyle study (n = 3431). The outcome was a clustered cardiometabolic risk (CCR) score, and the exposure was suburb-level SES. Potential mediators were domain-specific physical activities and sedentary behaviors. Multilevel linear regression models examined associations between SES and potential mediators (α) and between mediators and CCR (β). Mediation was assessed using the joint-significance test. Results: Higher SES was associated with a lower CCR score. Lower SES was associated with less frequent walking for transport, lower vigorous-intensity recreational physical activity, and higher TV time, which were associated with higher CCR scores. However, higher SES was associated with longer transport-related sitting time (all modes and in cars), which were associated with higher CCR scores. Conclusions: The SES-cardiometabolic risk relationship may be partially explained by walking for transport, vigorous-intensity recreational physical activity, and TV viewing. These findings, which require corroboration from prospective evidence and clarification of the roles of transport-related sitting and occupational physical activity, can inform initiatives addressing socioeconomic inequalities in cardiometabolic health.
AB - Purpose: We examined the potential mediating roles of domain-specific physical activities and sedentary behaviors in the relationship between area-level socioeconomic status (SES) and cardiometabolic risk. Methods: Data were from the 2011/2012 Australian Diabetes, Obesity and Lifestyle study (n = 3431). The outcome was a clustered cardiometabolic risk (CCR) score, and the exposure was suburb-level SES. Potential mediators were domain-specific physical activities and sedentary behaviors. Multilevel linear regression models examined associations between SES and potential mediators (α) and between mediators and CCR (β). Mediation was assessed using the joint-significance test. Results: Higher SES was associated with a lower CCR score. Lower SES was associated with less frequent walking for transport, lower vigorous-intensity recreational physical activity, and higher TV time, which were associated with higher CCR scores. However, higher SES was associated with longer transport-related sitting time (all modes and in cars), which were associated with higher CCR scores. Conclusions: The SES-cardiometabolic risk relationship may be partially explained by walking for transport, vigorous-intensity recreational physical activity, and TV viewing. These findings, which require corroboration from prospective evidence and clarification of the roles of transport-related sitting and occupational physical activity, can inform initiatives addressing socioeconomic inequalities in cardiometabolic health.
KW - Cardiovascular disease
KW - Health behaviors
KW - Mediation
KW - Obesity
KW - Pathways
KW - Socioeconomic inequalities in health
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U2 - 10.1016/j.annepidem.2023.04.011
DO - 10.1016/j.annepidem.2023.04.011
M3 - Article
C2 - 37094624
AN - SCOPUS:85159656652
SN - 1047-2797
VL - 83
SP - 1
EP - 7
JO - Annals of Epidemiology
JF - Annals of Epidemiology
ER -