Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
Publication Date
August 05, 2015
Journal
PLOS ONE
Authors
Jelle Van Cauwenberg, Veerle Van Holle, Ilse De Bourdeaudhuij, Neville Owen, et al
Volume
10
Issue
8
Pages
e0133175
DOI
https://dx.plos.org/10.1371/journal.pone.0133175
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0133175
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/26244676
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526644
Europe PMC
http://europepmc.org/abstract/MED/26244676
Web of Science
000359061400034
Scopus
84941992127
Mendeley
http://www.mendeley.com/research/diurnal-patterns-correlates-older-adults-sedentary-behavior
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2202372"], "description"=>"<p>Diurnal patterns of sedentary behavior differed significantly according to age group (panel A) and marital status (panel B).</p>", "links"=>[], "tags"=>["sociodemographic correlates", "sociodemographic attributes", "Diurnal Patterns", "Sedentary Time", "participant", "adult population", "women.ConclusionThese findings"], "article_id"=>1503497, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jelle Van Cauwenberg", "Veerle Van Holle", "Ilse De Bourdeaudhuij", "Neville Owen", "Benedicte Deforche"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133175.g001", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diurnal_patterns_of_sedentary_behavior_differed_significantly_according_to_age_group_panel_A_and_marital_status_panel_B_/1503497", "title"=>"Diurnal patterns of sedentary behavior differed significantly according to age group (panel A) and marital status (panel B).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 04:03:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2202373"], "description"=>"<p>M = mean; SD = standard deviation, Med = median, Q1 = quartile 1, Q3 = quartile 3</p><p><sup>a</sup> Derived from the SF-36 questionnaire</p><p><sup>b</sup> Expressed in minutes/day</p><p>Descriptive Characteristics of the Sample.</p>", "links"=>[], "tags"=>["sociodemographic correlates", "sociodemographic attributes", "Diurnal Patterns", "Sedentary Time", "participant", "adult population", "women.ConclusionThese findings"], "article_id"=>1503498, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jelle Van Cauwenberg", "Veerle Van Holle", "Ilse De Bourdeaudhuij", "Neville Owen", "Benedicte Deforche"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133175.t001", "stats"=>{"downloads"=>4, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Characteristics_of_the_Sample_/1503498", "title"=>"Descriptive Characteristics of the Sample.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-08-05 04:03:29"}
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  • {"files"=>["https://ndownloader.figshare.com/files/2202375"], "description"=>"<p>*p< 0.05</p><p>**p< 0.01</p><p>***p< 0.001</p><p>OR = odds ratio, C.I. = confidence interval, S.E. = Standard Error</p><p><sup>a,b</sup> Categories with different indices differ significantly (p< 0.05). Each column represents the results of one statistical model. All models were adjusted for accelerometer-derived moderate-to-vigorous physical activity (centered around its grand mean).</p><p><sup>1</sup> The logistic model estimates the relationships between the independent variables and the odds of having driven a car / used the computer in the last 7 day.</p><p><sup>2</sup> The gamma model estimates the relationships between the independent variables and the amount of driving a car / computer use (in minutes/day) among those who have driven a car / used the computer in the last 7 days.</p><p><sup>3</sup> Exp b = exponent of b, all gamma models were fitted using a log link function, the exponent of the b’s can be interpreted as a proportional increase in the dependent variable (in minutes/day) with a one-unit increase in the independent variable.</p><p><sup>4</sup> Adjusted for accelerometer-derived moderate-to-vigorous physical activity, number of valid days and number of valid hours/valid day (centered around their grand mean). The intercept for this model was 603.30 (S.E. = 13.85) minutes/day.</p><p>Results of the Final Models for the Relationships between Socio-demographic Factors and Sedentary Behavior(s).</p>", "links"=>[], "tags"=>["sociodemographic correlates", "sociodemographic attributes", "Diurnal Patterns", "Sedentary Time", "participant", "adult population", "women.ConclusionThese findings"], "article_id"=>1503500, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jelle Van Cauwenberg", "Veerle Van Holle", "Ilse De Bourdeaudhuij", "Neville Owen", "Benedicte Deforche"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133175.t003", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_the_Final_Models_for_the_Relationships_between_Socio_demographic_Factors_and_Sedentary_Behavior_s_/1503500", "title"=>"Results of the Final Models for the Relationships between Socio-demographic Factors and Sedentary Behavior(s).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-08-05 04:03:29"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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