Objectives
We studied how sleep quality and chronotype relate to weight loss in a 12-month real-world digital lifestyle intervention, the Healthy Weight Coaching.
Methods
Patients self-reported weight and waist circumference and completed a set of customized sleep-related online questionnaires at baseline, 3-, 6-, 9-, and 12-months. Primary outcomes were percent changes in weight and waist circumference, calculated from baseline to each follow-up time point. Using generalized linear regression for repeated measures, we explored associations between sleep variables (individual variables and factor analysis-derived clusters) and changes in measures of obesity across the program. Additionally, we investigated how changes in reported sleep are associated with weight loss outcomes.
Results
Baseline data included 1883 individuals (82.6 % women, median age 52 years, median BMI 39.1 kg/m2). Reporting sleep apnoea was associated with less successful weight loss across the program [weight, B = 0.760 (95 % CI = 0.446–1.073), p < 0.001; waist, B = 1.275 (95 % CI = 0.780–1.771), p < 0.001]. Eveningness and Tiredness factors were associated with poorer weight [B = 0.206 (95 % CI = 0.027–0.385), p = 0.024 and B = 0.613 (95 % CI = 0.371–0.855), p < 0.001, respectively] and waist circumference [B = 0.434 (95 % CI = 0.155–0.713), p = 0.002 and B = 0.720 (95 % CI = 0.337–1.102), p < 0.001, respectively] reduction over the 12-month program. Increase in reported daytime alertness, over the program, was beneficial for weight loss outcomes.
Conclusions
Addressing evening chronotype and reasons for reduced daytime alertness may be associated with enhanced weight loss; however this study does not establish causality. Additional research is needed to adapt interventions for those with sleep apnoea.
Trial registration
The trial is registered at clinicaltrials.cov (Clinical Trials Identifier NCT04019249).
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