Sitting too much: A hierarchy of socio-demographic correlates

PREVENTIVE MEDICINE

卷:101

Article

Lakerveld, Jeroen¹  Loyen, Anne¹  Schotman, Nina¹  Peeters, Carel F. W.¹  Cardon, Greet²  van der Ploeg, Hidde P.³  Lien, Nanna⁴  Chastin, Sebastien^2,5  Brug, Johannes^1,6 

[1] Vrije Univ Amsterdam, Med Ctr Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Epidemiol & Biostat, Amsterdam, Netherlands

[2] Univ Ghent, Dept Movement & Sports Sci, Ghent, Belgium

[3] Vrije Univ Amsterdam, Med Ctr Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Publ & Occupat Hlth, Amsterdam, Netherlands

[4] Univ Oslo, Dept Nutr, Oslo, Norway

[5] Glasgow Caledonian Univ, Sch Hlth & Life Sci, Inst Appl Hlth Res, Glasgow, Lanark, Scotland

[6] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, Amsterdam, Netherlands

关键词: Adults;    Correlates;    Risk-profiles;    Sedentary behaviour;    Sitting;   

DOI  :  10.1016/j.ypmed.2017.05.015

来源: Elsevier

【 摘 要 】

Too much sitting (extended sedentary time) is recognized as a public health concern in Europe and beyond. Time spent sedentary is influenced and conditioned by clusters of individual-level and contextual (upstream) factors. Identifying population subgroups that sit too much could help to develop targeted interventions to reduce sedentary time. We explored the relative importance of socio-demographic correlates of sedentary time in adults across Europe. We used data from 26,617 adults who participated in the 2013 Special Eurobarometer 412 Sport and physical activity. Participants from all 28 EU Member States were randomly selected and interviewed face-to-face. Self-reported sedentary time was dichotomized into sitting less or > 7.5 h/day. A Chi-squared Automatic Interaction Detection (CHAID) algorithm was used to create a tree that hierarchically partitions the data on the basis of the independent variables (i.e., socio-demographic factors) into homogeneous (sub) groups with regard to sedentary time. This allows for the tentative identification of population segments at risk for unhealthy sedentary behaviour. Overall, 18.5% of the respondents reported sitting > 7.5 h/day. Occupation was the primary discriminator. The subgroup most likely to engage in extensive sitting were higher educated, had white-collar jobs, reported no difficulties with paying bills, and used the internet frequently. Clear socio-demographic profiles were identified for adults across Europe who engage in extended sedentary time. Furthermore, physically active participants were consistently less likely to engage in longer daily sitting times. In general, those with more indicators of higher wealth were more likely to spend more time sitting. (C) 2017 The Author(s). Published by Elsevier Inc.

【 授权许可】

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