High Prevalence of Cardio-Metabolic Risk Factors in a Young Urban Sri-Lankan Population
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{"title"=>"High prevalence of cardio-metabolic risk factors in a young urban Sri-Lankan population", "type"=>"journal", "authors"=>[{"first_name"=>"Mahen", "last_name"=>"Wijesuriya", "scopus_author_id"=>"25026267900"}, {"first_name"=>"Martin", "last_name"=>"Gulliford", "scopus_author_id"=>"7006445136"}, {"first_name"=>"Judith", "last_name"=>"Charlton", "scopus_author_id"=>"7101914270"}, {"first_name"=>"Laksha", "last_name"=>"Vasantharaja", "scopus_author_id"=>"54973862900"}, {"first_name"=>"Giancarlo", "last_name"=>"Viberti", "scopus_author_id"=>"35380643000"}, {"first_name"=>"Luigi", "last_name"=>"Gnudi", "scopus_author_id"=>"6701328984"}, {"first_name"=>"Janaka", "last_name"=>"Karalliedde", "scopus_author_id"=>"9634673400"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84856821620", "doi"=>"10.1371/journal.pone.0031309", "sgr"=>"84856821620", "isbn"=>"1932-6203", "pmid"=>"22348068", "issn"=>"19326203", "pui"=>"364260132"}, "id"=>"89dffbac-2989-31b4-aee7-825e65744865", "abstract"=>"BACKGROUND: South-Asian's are predisposed to early onset type 2 diabetes (T2DM). The prevalence of cardio-metabolic risk-factors in young Sri-Lankans is unknown.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: To determine by questionnaire and anthropometry the prevalence of first degree family history (FH) of T2DM, physical inactivity, raised waist circumference (WC) and raised body mass index (BMI) in a representative healthy urban population selected by cluster sampling. Those with ≥ 2 risk-factors were evaluated for metabolic syndrome (MS) and recruited for an intervention trial. Of 23,296 participants screened, 22,507 (53% Female) were eligible [8,497 aged 10-14 yrs, 4,763 aged 15-19 yrs and 9,247 aged 20-40 yrs]. 51% had none of the 4 risk-factors, 26% 1 risk-factor and 23% (5,163) ≥ 2 risk-factors of whom 4,532 were assessed for MS. Raised BMI was noted in 19.7% aged 10-14 yrs, 15.3% between 15-19 yrs, and between 20-40 yrs, 27.4% of males vs. 21.8% of females p<0.001. Prevalence of raised WC was greater in females for each age group: 42.7% vs. 32.1%; 28.1% vs. 16.1%; 34.5% vs. 25.7% (p<0.05 for all) as was physical inactivity: 39.9% vs. 14.5%; 51.7% vs. 20.0%; 62.7% vs. 41.3% which rose in both sexes with age (p<0.05 for all). FH of T2DM was present in 26.2%. In 4532 (50%<16 yrs) with ≥ 2 risk-factors, impaired fasting glycaemia/impaired glucose tolerance (pre-diabetes) prevalence was 16%. MS was more prevalent in males [10-16 yrs (13.0% vs. 8.8%), 16-40 yrs (29.5% vs. 20.0%) p<0.001 for both].\\n\\nCONCLUSIONS/SIGNIFICANCE: There is a high prevalence of modifiable cardio-metabolic risk-factors in young urban Sri-Lankans with significant gender differences. A primary prevention intervention trial is ongoing in this cohort. Clinical Trial Registration Number SLCTR/2008/World Health Organization (WHO) international clinical trial registry platform.", "link"=>"http://www.mendeley.com/research/high-prevalence-cardiometabolic-risk-factors-young-urban-srilankan-population", "reader_count"=>40, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>8, "Student > Master"=>4, "Student > Bachelor"=>7, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>8, "Student > Master"=>4, "Student > Bachelor"=>7, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Nursing and Health Professions"=>3, "Medicine and Dentistry"=>26, "Psychology"=>1, "Social Sciences"=>7, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>26}, "Social Sciences"=>{"Social Sciences"=>7}, "Psychology"=>{"Psychology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>1}

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  • {"files"=>["https://ndownloader.figshare.com/files/349313", "https://ndownloader.figshare.com/files/349386"], "description"=>"<div><h3>Background</h3><p>South-Asian's are predisposed to early onset type 2 diabetes (T2DM). The prevalence of cardio-metabolic risk-factors in young Sri-Lankans is unknown.</p> <h3>Methodology/Principal Findings</h3><p>To determine by questionnaire and anthropometry the prevalence of first degree family history (FH) of T2DM, physical inactivity, raised waist circumference (WC) and raised body mass index (BMI) in a representative healthy urban population selected by cluster sampling. Those with ≥2 risk-factors were evaluated for metabolic syndrome (MS) and recruited for an intervention trial. Of 23,296 participants screened, 22,507 (53% Female) were eligible [8,497 aged 10–14 yrs, 4,763 aged 15–19 yrs and 9,247 aged 20–40 yrs]. 51% had none of the 4 risk-factors, 26% 1 risk-factor and 23% (5,163) ≥2 risk-factors of whom 4,532 were assessed for MS. Raised BMI was noted in 19.7% aged 10–14 yrs, 15.3% between 15–19 yrs, and between 20–40 yrs, 27.4% of males vs. 21.8% of females p<0.001. Prevalence of raised WC was greater in females for each age group: 42.7% vs. 32.1%; 28.1% vs. 16.1%; 34.5% vs. 25.7% (p<0.05 for all) as was physical inactivity: 39.9% vs. 14.5%; 51.7% vs. 20.0%; 62.7% vs. 41.3% which rose in both sexes with age (p<0.05 for all). FH of T2DM was present in 26.2%. In 4532 (50%<16 yrs) with ≥2 risk-factors, impaired fasting glycaemia/impaired glucose tolerance (pre-diabetes) prevalence was 16%. MS was more prevalent in males [10–16 yrs (13.0% vs. 8.8%), 16–40 yrs (29.5% vs. 20.0%) p<0.001 for both].</p> <h3>Conclusions/Significance</h3><p>There is a high prevalence of modifiable cardio-metabolic risk-factors in young urban Sri-Lankans with significant gender differences. A primary prevention intervention trial is ongoing in this cohort. Clinical Trial Registration Number SLCTR/2008/World Health Organization (WHO) international clinical trial registry platform.</p> </div>", "links"=>[], "tags"=>["prevalence", "cardio-metabolic", "factors", "sri-lankan"], "article_id"=>129073, "categories"=>["Chemistry", "Physiology", "Genetics"], "users"=>["Mahen Wijesuriya", "Martin Gulliford", "Judith Charlton", "Laksha Vasantharaja", "Giancarlo Viberti", "Luigi Gnudi", "Janaka Karalliedde"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0031309.s001", "https://dx.doi.org/10.1371/journal.pone.0031309.s002"], "stats"=>{"downloads"=>2, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/High_Prevalence_of_Cardio_Metabolic_Risk_Factors_in_a_Young_Urban_Sri_Lankan_Population/129073", "title"=>"High Prevalence of Cardio-Metabolic Risk Factors in a Young Urban Sri-Lankan Population", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-02-13 02:31:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/683592"], "description"=>"a<p>males vs.females p<0.001.</p>b<p>females vs.males p<0.05.</p>c<p>Age 10–14 years vs. 15–19 yrs vs 20–40 yrs p<0.05 for all.</p><p>Data are reported as means or proportions (%) with 95% confidence intervals corrected for cluster sampling.</p><p>Abbreviations: BMI, body mass index; FH, first degree family history; T2DM, type 2 diabetes mellitus.</p>", "links"=>[], "tags"=>["anthropometric", "characteristics", "subjects", "colombo", "aged"], "article_id"=>354066, "categories"=>["Chemistry", "Physiology", "Genetics"], "users"=>["Mahen Wijesuriya", "Martin Gulliford", "Judith Charlton", "Laksha Vasantharaja", "Giancarlo Viberti", "Luigi Gnudi", "Janaka Karalliedde"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0031309.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_anthropometric_characteristics_of_22_507_subjects_representative_of_the_urban_population_of_Colombo_District_aged_between_10_8211_40_years_/354066", "title"=>"Demographic and anthropometric characteristics of 22,507 subjects representative of the urban population of Colombo District aged between 10–40 years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-02-13 01:07:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/683548"], "description"=>"<p>Data are reported as means with 95% confidence intervals corrected for cluster sampling.</p><p>Abbreviations: BMI, body mass index; SBP, Systolic blood pressure; DBP Diastolic blood pressure; FPG, Fasting plasma glucose; PG, plasma glucose; LDL, low density lipoprotein; HDL, high density lipoprotein; HOMA-IR, Homeostasis model assessment for insulin resistance; ACR, albumin to creatinine ratio.</p>", "links"=>[], "tags"=>["biochemical", "characteristics", "4532", "subjects", "aged", "years", "cardio-metabolic", "factors", "randomized", "controlled"], "article_id"=>354015, "categories"=>["Chemistry", "Physiology", "Genetics"], "users"=>["Mahen Wijesuriya", "Martin Gulliford", "Judith Charlton", "Laksha Vasantharaja", "Giancarlo Viberti", "Luigi Gnudi", "Janaka Karalliedde"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0031309.t002", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_clinical_and_biochemical_characteristics_of_4532_subjects_aged_between_10_8211_40_years_with_8805_2_cardio_metabolic_risk_factors_selected_for_participation_in_the_randomized_controlled_trial_/354015", "title"=>"Baseline clinical and biochemical characteristics of 4532 subjects aged between 10–40 years with ≥2 cardio-metabolic risk factors selected for participation in the randomized controlled trial.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-02-13 01:06:55"}

PMC Usage Stats | Further Information

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  • {"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"=>"8"}
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  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
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Relative Metric

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