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Sitting too much : a hierarchy of socio-demographic correlates

(2017) PREVENTIVE MEDICINE. 101. p.77-83
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Abstract
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 >7.5h/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 >7.5h/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.
Keywords
physical activity & health, Adults, Correlates, Risk-profiles, Sedentary behaviour, Sitting, PHYSICAL-ACTIVITY QUESTIONNAIRE, SEDENTARY BEHAVIOR, ADULTS, TIME, DETERMINANTS, METAANALYSIS, RISK, INTERVENTIONS, EUROBAROMETER, ASSOCIATION

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Citation

Please use this url to cite or link to this publication:

MLA
Lakerveld, Jeroen et al. “Sitting Too Much : a Hierarchy of Socio-demographic Correlates.” PREVENTIVE MEDICINE 101 (2017): 77–83. Print.
APA
Lakerveld, Jeroen, Loyen, A., Schotman, N., Peeters, C. F., Cardon, G., van der Ploeg, H. P., Lien, N., et al. (2017). Sitting too much : a hierarchy of socio-demographic correlates. PREVENTIVE MEDICINE, 101, 77–83.
Chicago author-date
Lakerveld, Jeroen, Anne Loyen, Nina Schotman, Carel FW Peeters, Greet Cardon, Hidde P van der Ploeg, Nanna Lien, Sebastien Chastin, and Johannes Brug. 2017. “Sitting Too Much : a Hierarchy of Socio-demographic Correlates.” Preventive Medicine 101: 77–83.
Chicago author-date (all authors)
Lakerveld, Jeroen, Anne Loyen, Nina Schotman, Carel FW Peeters, Greet Cardon, Hidde P van der Ploeg, Nanna Lien, Sebastien Chastin, and Johannes Brug. 2017. “Sitting Too Much : a Hierarchy of Socio-demographic Correlates.” Preventive Medicine 101: 77–83.
Vancouver
1.
Lakerveld J, Loyen A, Schotman N, Peeters CF, Cardon G, van der Ploeg HP, et al. Sitting too much : a hierarchy of socio-demographic correlates. PREVENTIVE MEDICINE. 2017;101:77–83.
IEEE
[1]
J. Lakerveld et al., “Sitting too much : a hierarchy of socio-demographic correlates,” PREVENTIVE MEDICINE, vol. 101, pp. 77–83, 2017.
@article{8531520,
  abstract     = {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 >7.5h/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 >7.5h/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.},
  author       = {Lakerveld, Jeroen and Loyen, Anne and Schotman, Nina and Peeters, Carel FW and Cardon, Greet and van der Ploeg, Hidde P and Lien, Nanna and Chastin, Sebastien and Brug, Johannes},
  issn         = {0091-7435},
  journal      = {PREVENTIVE MEDICINE},
  keywords     = {physical activity & health,Adults,Correlates,Risk-profiles,Sedentary behaviour,Sitting,PHYSICAL-ACTIVITY QUESTIONNAIRE,SEDENTARY BEHAVIOR,ADULTS,TIME,DETERMINANTS,METAANALYSIS,RISK,INTERVENTIONS,EUROBAROMETER,ASSOCIATION},
  language     = {eng},
  pages        = {77--83},
  title        = {Sitting too much : a hierarchy of socio-demographic correlates},
  url          = {http://dx.doi.org/10.1016/j.ypmed.2017.05.015},
  volume       = {101},
  year         = {2017},
}

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