Age and Gender Differences in the Social Patterning of Cardiovascular Risk Factors in Switzerland: The CoLaus Study
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{"title"=>"Age and Gender Differences in the Social Patterning of Cardiovascular Risk Factors in Switzerland: The CoLaus Study", "type"=>"journal", "authors"=>[{"first_name"=>"Silvia", "last_name"=>"Stringhini", "scopus_author_id"=>"28867486100"}, {"first_name"=>"Brenda", "last_name"=>"Spencer", "scopus_author_id"=>"7201938675"}, {"first_name"=>"Pedro", "last_name"=>"Marques-Vidal", "scopus_author_id"=>"7004465818"}, {"first_name"=>"Gerard", "last_name"=>"Waeber", "scopus_author_id"=>"7006946995"}, {"first_name"=>"Peter", "last_name"=>"Vollenweider", "scopus_author_id"=>"7003669072"}, {"first_name"=>"Fred", "last_name"=>"Paccaud", "scopus_author_id"=>"55967369300"}, {"first_name"=>"Pascal", "last_name"=>"Bovet", "scopus_author_id"=>"7006465670"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203", "pmid"=>"23152909", "doi"=>"10.1371/journal.pone.0049443", "pui"=>"366043247", "issn"=>"19326203", "sgr"=>"84869021986", "scopus"=>"2-s2.0-84869021986"}, "id"=>"cba0f8b1-2c88-3993-b7ab-2c109fd3c671", "abstract"=>"OBJECTIVES: We examined the social distribution of a comprehensive range of cardiovascular risk factors (CVRF) in a Swiss population and assessed whether socioeconomic differences varied by age and gender.\\n\\nMETHODS: Participants were 2960 men and 3343 women aged 35-75 years from a population-based survey conducted in Lausanne, Switzerland (CoLaus study). Educational level was the indicator of socioeconomic status used in this study. Analyses were stratified by gender and age group (35-54 years; 55-75 years).\\n\\nRESULTS: There were large educational differences in the prevalence of CVRF such as current smoking (Δ = absolute difference in prevalence between highest and lowest educational group:15.1%/12.6% in men/women aged 35-54 years), physical inactivity (Δ = 25.3%/22.7% in men/women aged 35-54 years), overweight and obesity (Δ = 14.6%/14.8% in men/women aged 55-75 years for obesity), hypertension (Δ = 16.7%/11.4% in men/women aged 55-75 years), dyslipidemia (Δ = 2.8%/6.2% in men/women aged 35-54 years for high LDL-cholesterol) and diabetes (Δ = 6.0%/2.6% in men/women aged 55-75 years). Educational inequalities in the distribution of CVRF were larger in women than in men for alcohol consumption, obesity, hypertension and dyslipidemia (p<0.05). Relative educational inequalities in CVRF tended to be greater among the younger (35-54 years) than among the older age group (55-75 years), particularly for behavioral CVRF and abdominal obesity among men and for physiological CVRF among women (p<0.05).\\n\\nCONCLUSION: Large absolute differences in the prevalence of CVRF according to education categories were observed in this Swiss population. The socioeconomic gradient in CVRF tended to be larger in women and in younger persons.", "link"=>"http://www.mendeley.com/research/age-gender-differences-social-patterning-cardiovascular-risk-factors-switzerland-colaus-study", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Librarian"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>1, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Librarian"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>1, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>12, "Neuroscience"=>1, "Psychology"=>1, "Social Sciences"=>4, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>12}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>4}, "Psychology"=>{"Psychology"=>1}, "Computer Science"=>{"Computer Science"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"South Africa"=>1}, "group_count"=>2}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/293612"], "description"=>"<div><h3>Objectives</h3><p>We examined the social distribution of a comprehensive range of cardiovascular risk factors (CVRF) in a Swiss population and assessed whether socioeconomic differences varied by age and gender.</p> <h3>Methods</h3><p>Participants were 2960 men and 3343 women aged 35–75 years from a population-based survey conducted in Lausanne, Switzerland (CoLaus study). Educational level was the indicator of socioeconomic status used in this study. Analyses were stratified by gender and age group (35–54 years; 55–75 years).</p> <h3>Results</h3><p>There were large educational differences in the prevalence of CVRF such as current smoking (Δ = absolute difference in prevalence between highest and lowest educational group:15.1%/12.6% in men/women aged 35–54 years), physical inactivity (Δ = 25.3%/22.7% in men/women aged 35–54 years), overweight and obesity (Δ = 14.6%/14.8% in men/women aged 55–75 years for obesity), hypertension (Δ = 16.7%/11.4% in men/women aged 55–75 years), dyslipidemia (Δ = 2.8%/6.2% in men/women aged 35–54 years for high LDL-cholesterol) and diabetes (Δ = 6.0%/2.6% in men/women aged 55–75 years). Educational inequalities in the distribution of CVRF were larger in women than in men for alcohol consumption, obesity, hypertension and dyslipidemia (p<0.05). Relative educational inequalities in CVRF tended to be greater among the younger (35–54 years) than among the older age group (55–75 years), particularly for behavioral CVRF and abdominal obesity among men and for physiological CVRF among women (p<0.05).</p> <h3>Conclusion</h3><p>Large absolute differences in the prevalence of CVRF according to education categories were observed in this Swiss population. The socioeconomic gradient in CVRF tended to be larger in women and in younger persons.</p> </div>", "links"=>[], "tags"=>["differences", "patterning", "cardiovascular", "factors", "colaus", "study"], "article_id"=>117804, "categories"=>["Medicine", "Biotechnology"], "users"=>["Silvia Stringhini", "Brenda Spencer", "Pedro Marques-Vidal", "Gérard Waeber", "Peter Vollenweider", "Fred Paccaud", "Pascal Bovet"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049443"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Age_and_Gender_Differences_in_the_Social_Patterning_of_Cardiovascular_Risk_Factors_in_Switzerland_The_CoLaus_Study__/117804", "title"=>"Age and Gender Differences in the Social Patterning of Cardiovascular Risk Factors in Switzerland: The CoLaus Study", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-13 02:10:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/543294"], "description"=>"<p>SD: standard deviation.</p>", "links"=>[], "tags"=>["characteristics"], "article_id"=>213792, "categories"=>["Medicine", "Biotechnology"], "users"=>["Silvia Stringhini", "Brenda Spencer", "Pedro Marques-Vidal", "Gérard Waeber", "Peter Vollenweider", "Fred Paccaud", "Pascal Bovet"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049443.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Socio_demographic_characteristics_by_gender_and_age_group_/213792", "title"=>"Socio-demographic characteristics by gender and age group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-13 01:03:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/543337"], "description"=>"<p>BP: blood pressure; CI: confidence interval; HDL: high-density lipoprotein; LDL: low-density lipoprotein. Prevalence and mean values are adjusted for age and place of birth (Switzerland or outside Switzerland).</p>a<p><i>p</i> for linear trend across socioeconomic categories.</p>b<p>Difference in prevalence/mean between the highest and the lowest educational category.</p>c<p><i>p</i> for interaction between educational level and age group.</p>d<p>Analyses restricted to current smokers (N = 515 in the 35–54 years group and N = 293 in the 55–75 years group). 32 smokers with missing information on pack-years were not included.</p>e<p>Overweight: BMI ≥25 kg/m<sup>2</sup> and <30 kg/m<sup>2</sup>; obesity: BMI ≥30 kg/m<sup>2</sup>; abdominal obesity: waist circumference ≥102/88cm in men/women; hypertension: BP≥140/90 mmHg or taking BP treatment; low HDL-cholesterol: <1.0/1.2 mmol/l in men/women; high LDL-cholesterol: ≥3.4 mmol/l; high triglycerides: ≥1.7 mmol/l; diabetes:fasting glucose ≥7.0 mmol/l or taking diabetes treatment.</p>", "links"=>[], "tags"=>["prevalence", "cardiovascular", "factors", "men"], "article_id"=>213824, "categories"=>["Medicine", "Biotechnology"], "users"=>["Silvia Stringhini", "Brenda Spencer", "Pedro Marques-Vidal", "Gérard Waeber", "Peter Vollenweider", "Fred Paccaud", "Pascal Bovet"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049443.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Age_adjusted_prevalence_and_mean_values_of_selected_cardiovascular_risk_factors_by_level_of_education_and_age_group_among_men_N_8202_8202_2960_/213824", "title"=>"Age-adjusted prevalence and mean values of selected cardiovascular risk factors by level of education and age group among men (N = 2960).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-13 01:03:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/543374"], "description"=>"<p>BP: blood pressure; CI: confidence interval; HDL: high-density lipoprotein; LDL: low-density lipoprotein. Prevalence and mean values are adjusted for age and place of birth (Switzerland or outside Switzerland).</p>a<p><i>p</i> for linear trend across socioeconomic categories.</p>b<p>Difference in prevalence/mean between the highest and the lowest educational category.</p>c<p><i>p</i> for interaction between educational level and age group.</p>d<p>Analyses restricted to current smokers (N = 503 in the 35–54 years group and N = 288 in the 55–75 years group). 31 smokers with missing information on pack-years were not included.</p>e<p>Overweight: BMI ≥25 kg/m<sup>2</sup> and <30 kg/m<sup>2</sup>; obesity: BMI ≥30 kg/m<sup>2</sup>; abdominal obesity: waist circumference ≥102/88cm in men/women; hypertension: BP≥140/90 mmHg or taking BP treatment; low HDL-cholesterol: <1.0/1.2 mmol/l in men/women; high LDL-cholesterol: ≥3.4 mmol/l; high triglycerides: ≥1.7 mmol/l; diabetes: fasting glucose ≥7.0 mmol/l or taking diabetes treatment.</p>f<p>Analyses for HDL-cholesterol are additionally adjusted for oral contraceptive use.</p>", "links"=>[], "tags"=>["prevalence", "cardiovascular", "factors", "women"], "article_id"=>213862, "categories"=>["Medicine", "Biotechnology"], "users"=>["Silvia Stringhini", "Brenda Spencer", "Pedro Marques-Vidal", "Gérard Waeber", "Peter Vollenweider", "Fred Paccaud", "Pascal Bovet"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049443.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Age_adjusted_prevalence_and_mean_values_of_selected_cardiovascular_risk_factors_by_level_of_education_and_age_group_among_women_N_8202_8202_3343_/213862", "title"=>"Age-adjusted prevalence and mean values of selected cardiovascular risk factors by level of education and age group among women (N = 3343).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-13 01:04:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/543412"], "description"=>"<p>CI: confidence interval; HDL: high-density lipoprotein; LDL: low-density lipoprotein; RII: relative index of inequality; y:years.</p>a<p>Adjusted for age and place of birth (Switzerland or outside Switzerland).</p>b<p>Analyses for HDL-cholesterol are additionally adjusted for oral contraceptive use.</p>c<p><i>p</i> for interaction between RII and age group.</p>d<p><i>p</i> for interaction between RII and sex.</p>e<p>Obesity: BMI ≥30 kg/m<sup>2</sup>; abdominal obesity: waist circumference ≥102/88cm in men/women; hypertension: BP≥140/90 mmHg or taking BP treatment; low HDL-cholesterol: <1.0/1.2 mmol/l in men/women; high LDL-cholesterol: ≥3.4 mmol/l; high triglycerides: ≥1.7 mmol/l; diabetes: fasting glucose ≥7.0 mmol/l or taking diabetes treatment.</p>", "links"=>[], "tags"=>["inequalities", "cardiovascular", "factors"], "article_id"=>213902, "categories"=>["Medicine", "Biotechnology"], "users"=>["Silvia Stringhini", "Brenda Spencer", "Pedro Marques-Vidal", "Gérard Waeber", "Peter Vollenweider", "Fred Paccaud", "Pascal Bovet"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049443.t004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_educational_inequalities_in_selected_cardiovascular_risk_factors_by_gender_and_age_group_/213902", "title"=>"Relative educational inequalities in selected cardiovascular risk factors by gender and age group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-13 01:05:02"}

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  • {"unique-ip"=>"8", "full-text"=>"11", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"4", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}

Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Nutrition", "average_usage"=>[292, 539, 673, 776, 876, 986, 1099, 1210, 1305, 1390, 1476, 1560, 1633, 1726, 1813, 1903, 1969, 2024, 2082, 2153, 2235, 2301, 2366, 2432, 2495]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[307, 536, 653, 753, 839, 926, 1017, 1103, 1189, 1268, 1348, 1425, 1492, 1557, 1620, 1686, 1759, 1825, 1891, 1950, 2014, 2079, 2141, 2200, 2255]}, {"subject_area"=>"/Medicine and health sciences/Health care", "average_usage"=>[335, 575, 699, 804, 900, 994, 1119, 1215, 1317, 1408, 1509, 1583, 1664, 1732, 1802, 1873, 1945, 2020, 2104, 2190, 2259, 2325, 2400, 2463, 2548]}, {"subject_area"=>"/Medicine and health sciences/Nutrition", "average_usage"=>[307, 546, 676, 780, 888, 986, 1099, 1202, 1282, 1376, 1468, 1552, 1627, 1713, 1774, 1875, 1944, 2011, 2079, 2133, 2210, 2282, 2358, 2422, 2480]}, {"subject_area"=>"/People and places", "average_usage"=>[330, 562, 680, 783, 875, 964, 1062, 1152, 1240, 1327, 1406, 1483, 1561, 1632, 1701, 1770, 1849, 1922, 1993, 2059, 2131, 2197, 2271, 2335, 2403]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[325, 565, 687, 787, 880, 971, 1065, 1156, 1244, 1339, 1424, 1502, 1582, 1654, 1724, 1794, 1855, 1925, 1997, 2058, 2132, 2207, 2285, 2347, 2412]}]}
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