Abstract

ABSTRACT Optimizing 24-hour movement behaviors (physical activity (PA), sleep and sedentary time (ST)) is crucial for the prevention of non-communicable diseases (NCDs). However, the association of 24-hour movement behaviors with NCD risk remains largely obscured in low-middle-income countries. The present study aimed to explore the association between 24-hour movement behaviors and the occurrence of NCDs. An online survey was administered among 310 community-dwelling adults (age 18–65 years) of coastal Karnataka, enquiring sociodemographic profiles, 24-hour movement behaviors and presence of NCD. While spending 33% of daily time in sleep, the respondents spent 30% in light-intensity PA (LIPA), 19% in sedentary and 18% in moderate–vigorous PA (MVPA). Multivariate regression revealed that higher sleep time was significantly associated with higher odds of NCDs (estimate, β = 0.20, odds ratio = 0.82, p < 0.05). However, no significant associations were found for other 24-hour movement behaviors with NCD risk [ST (β = 0.12, p = 0.122), LIPA (β = −0.01, p = 0.184) and MVPA (β = −0.01, p = 0.357)]. Subgroup analyses showed that age and body mass were positively associated with NCDs, while lower socio-economic status was associated with lower sitting time (β = −3.84, p = 0.009) and lower LIPA (−318.49, p = 0.018). Higher age, body mass index and long sleep hours were associated with higher risk of NCDs. These findings may necessitate the inclusion of optimal sleep hours and body mass in health promotion guidelines to prevent chronic diseases among the regional population of coastal Karnataka.

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