Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233,110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes.

Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233,110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes.
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DOI:
10.1136/bmjopen-2015-010038
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发表时间:
2016-03-15
期刊:
影响因子:
2.9
通讯作者:
Trenell MI
Trenell MI
中科院分区:
医学3区
文献类型:
--
作者:
Cassidy S;Chau JY;Catt M;Bauman A;Trenell MI

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同时定义心脏代谢疾病组的饮食,体育活动,电视(TV)观看和睡眠时间,并调查非饮食生活方式行为的聚类。横断面观察性研究。英国22个生物银行评估中心。502 664名37-63岁的成年人,54%为妇女。  根据疾病状态定义了4组:“无疾病”(n=103 993)、“心血管疾病”(CVD n=113 469)、“无CVD的2型糖尿病”(n=4074)和“2型糖尿病+ CVD”(n=11 574)。   饮食、体力活动、看电视和睡眠时间。相对于没有疾病的人,患有“CVD”的人报告了低水平的体力活动(<918 MET min/周,OR(95%CI)1.23(1.20至1.25)),高水平的电视观看(>3小时/天; 1.42(1.39至1.45))和睡眠时间差(<7,>8小时/夜; 1.37(1.34至1.39))。  与无疾病的人相比,患有“2型糖尿病+ CVD”的人更有可能报告低体力活动(1.71(1.64至1.78)),高水平的电视观看(1.92(1.85至1.99))和睡眠时间差(1.52(1.46至1.58))。非饮食行为聚集在一起,患有“CVD”或“2型糖尿病+ CVD”的人比没有疾病的人更有可能同时报告低体力活动,高电视观看和睡眠时间差(分别为2.15(2.03至2.28)和3.29(3.02至3.58))。相比之下,四分之三的“2型糖尿病”成年人和四分之二的“心血管疾病”成年人在过去5年中改变了饮食,而“无疾病”组只有四分之一。 模型根据性别、年龄、体重指数、汤森痴呆指数、种族、酒精摄入量、吸烟和水果/蔬菜指南进行调整。低体力活动,高TV和睡眠时间差是CVD和2型糖尿病的突出未解决的高风险特征,并且可能聚集在一起。
Simultaneously define diet, physical activity, television (TV) viewing, and sleep duration across cardiometabolic disease groups, and investigate clustering of non-diet lifestyle behaviours. Cross-sectional observational study. 22 UK Biobank assessment centres across the UK. 502 664 adults aged 37–63 years old, 54% women. 4 groups were defined based on disease status; ‘No disease’ (n=103 993), ‘cardiovascular disease’ (CVD n=113 469), ‘Type 2 diabetes without CVD’ (n=4074) and ‘Type 2 diabetes + CVD’ (n=11 574). Diet, physical activity, TV viewing and sleep duration. People with ‘CVD’ report low levels of physical activity (<918 MET min/week, OR (95% CI) 1.23 (1.20 to 1.25)), high levels of TV viewing (>3 h/day; 1.42 (1.39 to 1.45)), and poor sleep duration (<7, >8 h/night; 1.37 (1.34 to 1.39)) relative to people without disease. People with ‘Type 2 diabetes + CVD’ were more likely to report low physical activity (1.71 (1.64 to 1.78)), high levels of TV viewing (1.92 (1.85 to 1.99)) and poor sleep duration (1.52 (1.46 to1.58)) relative to people without disease. Non-diet behaviours were clustered, with people with ‘CVD’ or ‘Type 2 diabetes + CVD’ more likely to report simultaneous low physical activity, high TV viewing and poor sleep duration than those without disease (2.15 (2.03 to 2.28) and 3.29 (3.02 to 3.58), respectively). By contrast, 3 in 4 adults with ‘Type 2 diabetes’, and 2 in 4 adults with ‘CVD’ have changed their diet in the past 5 years, compared with only 1 in 4 in the ‘No disease’ group. Models were adjusted for gender, age, body mass index, Townsend Deprivation Index, ethnicity, alcohol intake, smoking and meeting fruit/vegetable guidelines. Low physical activity, high TV and poor sleep duration are prominent unaddressed high-risk characteristics of both CVD and type 2 diabetes, and are likely to be clustered together.