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The objectives of this study were to assess the associations among various physical and mental chronic conditions and napping. A cross-sectional epidemiological survey was proposed within the NutriNet-Santé population-based e-cohort launched in France in 2009. Participants were 43,060 French volunteers aged 18 y and over with Internet access. A self-report questionnaire assessing sleep characteristics was administered in 2014. The main outcome (dependent) variable was weekday or weekend napping (yes/no). The main exposure (independent) variables were overweight/obesity, hypertension, diabetes, anxiety and depressive disorders, incident major cardiovascular diseases (myocardial infarction, stroke, unstable angina), and incident cancer (breast and prostate). The associations of interest were investigated with multivariable logistic regression analysis. No significant associations were found between major cardiovascular diseases or breast or prostate cancer and napping. Instead, we found that napping was more common among males (46.1%) than among females 36.9% (p < 0.0001). Individuals who were overweight or obese or had hypertension, diabetes, depression or anxiety disorders had an increased likelihood of napping compared with their healthy peers. The adjusted ORs ranged from 1.14 to 1.28″. In conclusion, most chronic conditions were independently associated with napping. Future longitudinal analyses are needed to elucidate causality.

Purpose We assessed the association of long-term weight change ae5 kg with total sleep time (TST), investigating effect modification by sex and overweight/obesity. In a cross-sectional context, we studied 41,610 adults from the general population-based NutriNet-Sant, e-cohort. A sleep questionnaire was self-administered in 2014. It included sleep logs for the estimation of average TST at night, and items for the calculation of major weight change as experienced over the previous 5 years. We fit multivariate polytomous logistic regression models. Overall, women with major weight loss had an increased likelihood of short TST (ae6 h) when compared with women with stable weight (OR = 1.15, 95% CI: 1.05-1.25). Individuals with major weight gain had an increased likelihood of short TST compared with their counterparts with stable weight (men: OR = 1.20, 95% CI: 1.05-1.37; women: OR = 1.24, 95% CI: 1.15-1.33). Men with major weight gain were less likely to report long TST compared with men with stable weight (OR = 0.83, 95% CI: 0.70-0.97). Overweight or obesity did not moderate the associations. The study advances knowledge in the fields of public health and nutrition by providing some evidence of a sex-specific association of major weight change with both short and long TST. These associations merit future investigation in a longitudinal context with repeated, objective measures of both weight and sleep time, while applying more stringent interaction test criteria and accounting for changes in health behaviors.