Dietary Behaviour and Socioeconomic Position: The Role of Physical Activity Patterns
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{"title"=>"Dietary behaviour and socioeconomic position: The role of physical activity patterns", "type"=>"journal", "authors"=>[{"first_name"=>"Jonas D.", "last_name"=>"Finger", "scopus_author_id"=>"55520957700"}, {"first_name"=>"Thorkild", "last_name"=>"Tylleskär", "scopus_author_id"=>"6701790829"}, {"first_name"=>"Thomas", "last_name"=>"Lampert", "scopus_author_id"=>"55840328100"}, {"first_name"=>"Gert B M", "last_name"=>"Mensink", "scopus_author_id"=>"7003776519"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84892398623", "sgr"=>"84892398623", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0078390", "pmid"=>"92668898", "isbn"=>"19326203", "pui"=>"372116180"}, "id"=>"40fa3f9a-2f53-3468-bcd0-15e99e50d82e", "abstract"=>"<sec><title>Background</title><p> The positive association between education level and health outcomes can be partly explained by dietary behaviour. We investigated the associations between education and several indices of food intake and potential influencing factors, placing special emphasis on physical-activity patterns, using a representative sample of the German adult population. </p></sec><sec><title>Methods</title><p> The German National Health Interview and Examination Survey 1998 (GNHIES98) involved 7,124 participants aged between 18 and 79. Complete information on the exposure (education) and outcome (nutrition) variables was available for 6,767 persons. The associations between ‘education’ and indices of ‘sugar-rich food’, ‘fat-rich food’, ‘fruit-and-vegetable’ and ‘alcohol’ intake were analysed separately for men and women using multivariate logistic regression analysis. Odds ratios (OR) of education level on nutrition outcomes were calculated and adjusted for age, region (former East/West Germany), occupation, income and other influencing factors such as physical activity indicators. </p></sec><sec><title>Results</title><p> Men and women with only a primary education had a more frequent intake of sugar-rich and fat-rich foods and a less frequent intake of fruit and vegetables and alcohol than people with a tertiary education. ‘Physical work activity’ partly explained the associations between education and sugar-rich food intake. The interference with physical work activity was stronger among men than women. No significant associations between education and energy-dense food intake were observed in the retirement-age group of persons aged 65+ and among persons with low energy expenditure. </p></sec><sec><title>Conclusions</title><p> In Germany, adults with a low level of education report that they consume energy-dense foods more frequently – and fruit and vegetables and alcohol less frequently – than adults with a high education level. High levels of physical work activity among adults with a low education level may partly explain why they consume more energy-dense foods.</p></sec>", "link"=>"http://www.mendeley.com/research/dietary-behaviour-socioeconomic-position-role-physical-activity-patterns-5", "reader_count"=>16, "reader_count_by_academic_status"=>{"Student > Ph. D. Student"=>4, "Student > Master"=>5, "Student > Bachelor"=>4, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Student > Ph. D. Student"=>4, "Student > Master"=>5, "Student > Bachelor"=>4, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>4, "Medicine and Dentistry"=>5, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Social Sciences"=>2, "Immunology and Microbiology"=>1, "Business, Management and Accounting"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Indonesia"=>1}, "group_count"=>0}

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  • {"files"=>["https://ndownloader.figshare.com/files/1270247"], "description"=>"a<p>Fruit-and-vegetable, sugar-rich food, fat-rich food and alcohol intake is defined as ‘high’ using the upper limit of the 3<sup>rd</sup> quintile as the cut-point dividing the population in 40% versus 60%.</p>", "links"=>[], "tags"=>["ratios", "nutrition", "indicators", "adults", "aged"], "article_id"=>843197, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas D. Finger", "Thorkild Tylleskär", "Thomas Lampert", "Gert B. M. Mensink"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078390.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Crude_odds_ratios_OR_of_nutrition_indicators_a_according_to_selected_key_variables_adults_aged_18_79_/843197", "title"=>"Crude odds ratios (OR) of nutrition indicators <sup>a</sup> according to selected key variables, adults aged 18–79.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-06 03:20:43"}

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Relative Metric

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