O'Donoghue Grainne, Perchoux Camille, Mensah Keitly, Lakerveld Jeroen, van der Ploeg Hidde, Bernaards Claire, Chastin Sebastien F M, Simon Chantal, O'Gorman Donal, Nazare Julie-Anne
Centre for Preventive Medicine, School of Health & Human Performance, Dublin City University, Dublin 9, Republic of Ireland.
CarMeN Laboratory, INSERM U1060, Lyon 1 University, CRNH-Rhône-Alpes, CENS, Lyon, France.
BMC Public Health. 2016 Feb 17;16:163. doi: 10.1186/s12889-016-2841-3.
Recent research shows that sedentary behaviour is associated with adverse cardio-metabolic consequences even among those considered sufficiently physically active. In order to successfully develop interventions to address this unhealthy behaviour, factors that influence sedentariness need to be identified and fully understood. The aim of this review is to identify individual, social, environmental, and policy-related determinants or correlates of sedentary behaviours among adults aged 18-65 years.
PubMed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between January 2000 and September 2015. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour (b) correlates (c) types of sedentary behaviours (d) types of correlates. Articles were included if information relating to sedentary behaviour in adults (18-65 years) was reported. Studies on samples selected by disease were excluded. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823).
74 original studies were identified out of 4041: 71 observational, two qualitative and one experimental study. Sedentary behaviour was primarily measured as self-reported screen leisure time and total sitting time. In 15 studies, objectively measured total sedentary time was reported: accelerometry (n = 14) and heart rate (n = 1). Individual level factors such as age, physical activity levels, body mass index, socio-economic status and mood were all significantly correlated with sedentariness. A trend towards increased amounts of leisure screen time was identified in those married or cohabiting while having children resulted in less total sitting time. Several environmental correlates were identified including proximity of green space, neighbourhood walkability and safety and weather.
Results provide further evidence relating to several already recognised individual level factors and preliminary evidence relating to social and environmental factors that should be further investigated. Most studies relied upon cross-sectional design limiting causal inference and the heterogeneity of the sedentary measures prevented direct comparison of findings. Future research necessitates longitudinal study designs, exploration of policy-related factors, further exploration of environmental factors, analysis of inter-relationships between identified factors and better classification of sedentary behaviour domains.
近期研究表明,即使在那些被认为身体活动充足的人群中,久坐行为也与不良的心血管代谢后果相关。为了成功开发应对这种不健康行为的干预措施,需要识别并充分理解影响久坐行为的因素。本综述的目的是确定18至65岁成年人久坐行为的个体、社会、环境和政策相关决定因素或相关因素。
检索了PubMed、Embase、CINAHL、PsycINFO和Web of Science中2000年1月至2015年9月发表的文章。检索策略基于四个关键要素及其同义词:(a)久坐行为(b)相关因素(c)久坐行为类型(d)相关因素类型。如果报告了与18至65岁成年人久坐行为相关的信息,则纳入文章。排除对按疾病选择的样本进行的研究。完整方案可从PROSPERO获取(PROSPERO 2014:CRD42014009823)。
从4041项研究中识别出74项原始研究:71项观察性研究、2项定性研究和1项实验性研究。久坐行为主要通过自我报告的屏幕休闲时间和总坐姿时间来衡量。在15项研究中,报告了客观测量的总久坐时间:加速度计(n = 14)和心率(n = 1)。年龄、身体活动水平、体重指数、社会经济地位和情绪等个体层面因素均与久坐行为显著相关。已婚或同居者的休闲屏幕时间有增加趋势,而有孩子则导致总坐姿时间减少。确定了几个环境相关因素,包括绿地的接近程度、邻里的步行便利性、安全性和天气。
研究结果为一些已被认可的个体层面因素提供了进一步证据,并为应进一步研究的社会和环境因素提供了初步证据。大多数研究依赖横断面设计,限制了因果推断,且久坐行为测量方法的异质性妨碍了研究结果的直接比较。未来的研究需要纵向研究设计、探索政策相关因素、进一步探索环境因素、分析已识别因素之间的相互关系以及更好地对久坐行为领域进行分类。