Aila J. Ahola , Anu Joki , Mikko S. Venäläinen , Sakris K.E. Kupila , Laura-Unnukka Suojanen , E. Juulia Paavonen , Kirsi H. Pietiläinen
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Additionally, we investigated how changes in reported sleep are associated with weight loss outcomes.</div></div><div><h3>Results</h3><div>Baseline data included 1883 individuals (82.6 % women, median age 52 years, median BMI 39.1 kg/m<sup>2</sup>). 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]. <em>Eveningness</em> and <em>Tiredness</em> 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. 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引用次数: 0
摘要
目的:我们在一项为期12个月的现实世界数字生活方式干预——健康体重指导——中研究睡眠质量和时间类型与减肥之间的关系。方法患者在基线、3个月、6个月、9个月和12个月时自我报告体重和腰围,并完成一套定制的与睡眠相关的在线问卷。主要结局是体重和腰围变化的百分比,从基线到每个随访时间点计算。通过对重复测量的广义线性回归,我们探索了睡眠变量(个体变量和因子分析衍生的聚类)与整个项目中肥胖测量变化之间的关系。此外,我们还调查了报告的睡眠变化与减肥结果之间的关系。结果基线数据包括1883例个体(82.6%为女性,中位年龄52岁,中位BMI 39.1 kg/m2)。报告睡眠呼吸暂停与整个项目中减肥成功率较低相关[weight, B = 0.760 (95% CI = 0.446-1.073), p < 0.001;腰,B = 1.275 (95% CI = 0.780 - -1.771), p & lt; 0.001]。在为期12个月的项目中,夜间和疲劳因素与较差的体重[B = 0.206 (95% CI = 0.027-0.385), p = 0.024和B = 0.613 (95% CI = 0.371-0.855), p <; 0.001]和腰围[B = 0.434 (95% CI = 0.155-0.713), p = 0.002和B = 0.720 (95% CI = 0.337-1.102), p <; 0.001]减少有关。在这个项目中,白天警觉性的增加对减肥结果是有益的。结论解决夜间睡眠类型和白天警觉性降低的原因可能与体重减轻有关;然而,这项研究并没有建立因果关系。需要进一步的研究来适应睡眠呼吸暂停患者的干预措施。试验注册该试验在临床试验中注册。cov(临床试验标识符NCT04019249)。
Association between sleep and weight loss in a 12-month digital lifestyle intervention
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).
Obesity MedicineMedicine-Public Health, Environmental and Occupational Health
CiteScore
5.50
自引率
0.00%
发文量
74
审稿时长
40 days
期刊介绍:
The official journal of the Shanghai Diabetes Institute Obesity is a disease of increasing global prevalence with serious effects on both the individual and society. Obesity Medicine focusses on health and disease, relating to the very broad spectrum of research in and impacting on humans. It is an interdisciplinary journal that addresses mechanisms of disease, epidemiology and co-morbidities. Obesity Medicine encompasses medical, societal, socioeconomic as well as preventive aspects of obesity and is aimed at researchers, practitioners and educators alike.