Low physical activity, high television viewing and poor sleep duration cluster in overweight and obese adults; a cross-sectional study of 398,984 participants from the UK Biobank.
Low physical activity, high television viewing and poor sleep duration cluster in overweight and obese adults; a cross-sectional study of 398,984 participants from the UK Biobank.
复制标题
DOI：
10.1186/s12966-017-0514-y
复制
发表时间：
2017-04-28
期刊：
影响因子：
--
通讯作者：
Trenell MI
中科院分区：
文献类型：
--
作者：
Cassidy S;Chau JY;Catt M;Bauman A;Trenell MI
不健康的生活方式是导致肥胖的最大原因之一。许多行为都与肥胖有关，但通常是单独衡量的。英国生物银行的50万名参与者让我们能够同时探索这些行为。因此，我们旨在比较大量英国成年人的身体质量指数（BMI）类别中的身体活动，看电视（电视）和睡眠时间。招募了英国生物银行的参与者，并在2007年至2010年期间采取了基线测量，并在2015年进行了数据分析。BMI由训练有素的工作人员客观测量。采用自我报告问卷测量生活方式行为，包括体育活动的国际体育活动问卷（ipaq -简称）。在数据分析中，根据BMI分为6组；“减持”(n = 2026),体重正常的(n = 132372),“超重(n = 171030),”肥胖的我”(n = 67903)、“二胖”(n = 18653)和“肥胖III (n = 7000)。报告不健康生活方式行为（低体力活动，长时间看电视或睡眠时间不足）的几率在BMI组之间使用逻辑回归分析进行比较。超重和肥胖的成年人更有可能报告低水平的身体活动（≤967.5 MET）。（“超重”-OR [95% CI]: 1.23[1.20至1.26]，“肥胖I”为1.66[1.61-1.71]，“肥胖II”为2.21[2.12-2.30]，“肥胖III”为3.13[2.95至3.23]）与“正常体重”的成年人相比。与“正常体重”组相比，“超重”组（1.52[1.48至1.55]）和肥胖成人（“肥胖I”2.06[2.00-2.12]，“肥胖II”2.69[2.58-2.80]，“肥胖III”3.26[3.07至3.47]）报告高电视观看时间（3小时/天）的几率更大，而“超重”组（1.09[1.07至1.12]）和肥胖成人(“肥胖I”1.31[1.27-1.34]，“肥胖II”1.50[1.44-1.56]，“肥胖III”（1.78[1.68至1.89]）睡眠时间不足（<7 - 8小时/晚）更高。这些生活方式行为聚集在一起，在超重和肥胖人群中，同时报告低体力活动、高电视时间和睡眠不足（不健康的行为表型）的几率高于独立报告这些行为的几率。与“正常体重”组相比，“肥胖III”组的成年人报告不健康行为表型的可能性（5.47[4.96至6.05]）几乎高出六倍。超重和肥胖的成年人报告说身体活动水平低，看电视时间长，睡眠时间短。这些行为似乎聚集在一起，共同使个体面临更大的肥胖风险。在未来的干预措施中应针对多种生活方式行为。本文的在线版本（doi:10.1186/s12966-017-0514-y）包含补充材料，可供授权用户使用。
An unhealthy lifestyle is one of the greatest contributors to obesity. A number of behaviours are linked with obesity, but are often measured separately. The UK Biobank cohort of >500,000 participants allows us to explore these behaviours simultaneously. We therefore aimed to compare physical activity, television (TV) viewing and sleep duration across body mass index (BMI) categories in a large sample of UK adults. UK Biobank participants were recruited and baseline measures were taken between 2007 and 2010 and data analysis was performed in 2015. BMI was measured objectively using trained staff. Self-report questionnaires were used to measure lifestyle behaviours including the international physical activity questionnaire (IPAQ-short form) for physical activity. During data analysis, six groups were defined based on BMI; ‘Underweight’ (n = 2026), ‘Normal weight’ (n = 132,372), ‘Overweight (n = 171,030), ‘Obese I’ (n = 67,903), ‘Obese II’ (n = 18,653) and ‘Obese III’ (n = 7000). The odds of reporting unhealthy lifestyle behaviours (low physical activity, high TV viewing or poor sleep duration) were compared across BMI groups using logistic regression analysis. Overweight and obese adults were more likely to report low levels of physical activity (≤967.5 MET.mins/wk) (‘Overweight’-OR [95% CI]: 1.23 [1.20 to 1.26], ‘Obese I’ 1.66 [1.61–1.71], ‘Obese II’ 2.21 [2.12–2.30], and ‘Obese III’ 3.13 [2.95 to 3.23]) compared to ‘Normal weight’ adults. The odds of reporting high TV viewing (3 h/day) was greater in ‘Overweight’ (1.52 [1.48 to 1.55]) and obese adults (‘Obese I’ 2.06 [2.00–2.12], ‘Obese II’ 2.69 [2.58–2.80], ‘Obese III’ 3.26 [3.07 to 3.47]), and poor sleep duration (<7, >8 h/night) was higher in ‘Overweight’ (1.09 [1.07 to 1.12]) and obese adults (‘Obese I’ 1.31 [1.27–1.34], ‘Obese II’ 1.50 [1.44–1.56], ‘Obese III’ (1.78 [1.68 to 1.89]) compared to the ‘Normal weight’ group. These lifestyle behaviours were clustered, the odds of reporting simultaneous low physical activity, high TV viewing and poor sleep (unhealthy behavioural phenotype) was higher than reporting these behaviours independently, in overweight and obese groups. ‘Obese III’ adults were almost six times more likely (5.47 [4.96 to 6.05]) to report an unhealthy behavioural phenotype compared to the ‘Normal weight’ group. Overweight and obese adults report low levels of physical activity, high TV viewing and poor sleep duration. These behaviours seem to cluster and collectively expose individuals to greater risk of obesity. Multiple lifestyle behaviours should be targeted in future interventions. The online version of this article (doi:10.1186/s12966-017-0514-y) contains supplementary material, which is available to authorized users.