Low Muscle Strength Is Associated with Metabolic Risk Factors in Colombian Children: The ACFIES Study
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{"title"=>"Low muscle strength is associated with metabolic risk factors in Colombian children: The ACFIES study", "type"=>"journal", "authors"=>[{"first_name"=>"Daniel Dylan", "last_name"=>"Cohen", "scopus_author_id"=>"35483406300"}, {"first_name"=>"Diego", "last_name"=>"Gómez-Arbeláez", "scopus_author_id"=>"35114833800"}, {"first_name"=>"Paul Anthony", "last_name"=>"Camacho", "scopus_author_id"=>"16047325700"}, {"first_name"=>"Sandra", "last_name"=>"Pinzon", "scopus_author_id"=>"55090823100"}, {"first_name"=>"Claudia", "last_name"=>"Hormiga", "scopus_author_id"=>"25951605500"}, {"first_name"=>"Juanita", "last_name"=>"Trejos-Suarez", "scopus_author_id"=>"55817920700"}, {"first_name"=>"John", "last_name"=>"Duperly", "scopus_author_id"=>"15831016700"}, {"first_name"=>"Patricio", "last_name"=>"Lopez-Jaramillo", "scopus_author_id"=>"7004478068"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84899534926", "doi"=>"10.1371/journal.pone.0093150", "sgr"=>"84899534926", "isbn"=>"19326203", "pmid"=>"24714401", "issn"=>"19326203", "pui"=>"372971544"}, "id"=>"56c3d850-3f24-38ca-a42c-4b50220071a3", "abstract"=>"PURPOSE: In youth, poor cardiorespiratory and muscular strength are associated with elevated metabolic risk factors. However, studies examining associations between strength and risk factors have been done exclusively in high income countries, and largely in Caucasian cohorts. The aim of this study was to assess these interactions in schoolchildren in Colombia, a middle income Latin American country.\\n\\nMETHODS: We measured body mass index, body composition, handgrip strength (HG), cardiorespiratory fitness (CRF) and metabolic risk factors in 669 low-middle socioeconomic status Colombian schoolchildren (mean age 11.52±1.13, 47% female). Associations between HG, CRF and metabolic risk factors were evaluated.\\n\\nRESULTS: HG and CRF were inversely associated with blood pressure, HOMA index and a composite metabolic risk score (p<0.001 for all) and HG was also inversely associated with triglycerides and C-reactive protein (CRP) (both p<0.05). Associations between HG and risk factors were marginally weakened after adjusting for CRF, while associations between CRF and these factors were substantially weakened after adjusting for HG. Linear regression analyses showed inverse associations between HG and systolic BP (β = -0.101; p = 0.047), diastolic BP (β = -0.241; p> = 0.001), HOMA (β = -0.164; p = 0.005), triglycerides (β = -0.583; p = 0.026) and CRP (β = -0.183; p = 0.037) but not glucose (p = 0.698) or HDL cholesterol (p = 0.132). The odds ratios for having clustered risk in the weakest quartile compared with the strongest quartile were 3.0 (95% confidence interval: 1.81-4.95).\\n\\nCONCLUSIONS: In Colombian schoolchildren both poorer handgrip strength/kg body mass and cardiorespiratory fitness were associated with a worse metabolic risk profile. Associations were stronger and more consistent between handgrip and risk factors than between cardiorespiratory fitness and these risk factors. Our findings indicate the addition of handgrip dynamometry to non-invasive youth health surveillance programs would improve the accuracy of the assessment of cardio-metabolic health.", "link"=>"http://www.mendeley.com/research/low-muscle-strength-associated-metabolic-risk-factors-colombian-children-acfies-study", "reader_count"=>44, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>4, "Student > Master"=>10, "Other"=>3, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>4, "Student > Master"=>10, "Other"=>3, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Materials Science"=>1, "Medicine and Dentistry"=>16, "Agricultural and Biological Sciences"=>2, "Sports and Recreations"=>14, "Psychology"=>1, "Social Sciences"=>5}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>16}, "Social Sciences"=>{"Social Sciences"=>5}, "Sports and Recreations"=>{"Sports and Recreations"=>14}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"Colombia"=>1, "Italy"=>1, "Spain"=>1}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1453870"], "description"=>"<p>Mean ± standard deviation, except weight status (%). Differences between boys and girls calculated using Wilcoxon rank-sum test, except for glucose using ANOVA and weight status (χ<sup>2</sup> test). BMI, body mass index; Weight status, classified according to Barlow <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0093150#pone.0093150-Barlow1\" target=\"_blank\">[22]</a>; CRF, Cardiorespiratory fitness; PAQ-C score, Physical activity questionnaire; SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMA index, homeostatic model assessment index; HDL, High Density Lipoprotein; TC/cHDL, Total cholesterol/High Density Lipoprotein; CRP, C-Reactive Protein.</p><p>*data missing for 11 participants.</p><p>**data missing for 15 participants.</p>", "links"=>[], "tags"=>["anatomy", "Musculoskeletal system", "cardiology", "health care", "Health care policy", "Child and adolescent health policy", "pediatrics", "Child health", "Public and occupational health", "Global health", "Health screening", "preventive medicine", "Sports and exercise medicine"], "article_id"=>990292, "categories"=>["Biological Sciences"], "users"=>["Daniel Dylan Cohen", "Diego Gómez-Arbeláez", "Paul Anthony Camacho", "Sandra Pinzon", "Claudia Hormiga", "Juanita Trejos-Suarez", "John Duperly", "Patricio Lopez-Jaramillo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093150.t001", "stats"=>{"downloads"=>4, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_population_/990292", "title"=>"Characteristics of population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-08 02:50:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/1453867"], "description"=>"<p>Quartile 4 is highest handgrip strength category (used as referent). Adjusted for age, maturation status and % body fat category (grey bars) and additionally for cardiorespiratory fitness (white bars). Clustered risk is defined as 1 SD above the age and sex specific mean.</p>", "links"=>[], "tags"=>["anatomy", "Musculoskeletal system", "cardiology", "health care", "Health care policy", "Child and adolescent health policy", "pediatrics", "Child health", "Public and occupational health", "Global health", "Health screening", "preventive medicine", "Sports and exercise medicine", "quartiles", "clustered", "metabolic", "girls", "boys"], "article_id"=>990289, "categories"=>["Biological Sciences"], "users"=>["Daniel Dylan Cohen", "Diego Gómez-Arbeláez", "Paul Anthony Camacho", "Sandra Pinzon", "Claudia Hormiga", "Juanita Trejos-Suarez", "John Duperly", "Patricio Lopez-Jaramillo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093150.g004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Handgrip_strength_quartiles_and_risk_of_clustered_metabolic_risk_in_8_8211_14_year_old_girls_Panel_A_n_8202_8202_306_and_boys_Panel_B_n_8202_8202_330_/990289", "title"=>"Handgrip strength quartiles and risk of clustered metabolic risk in 8–14 year old girls (Panel A, n = 306) and boys (Panel B, n = 330).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-08 02:50:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/1453865"], "description"=>"<p>Quartile 4 is the highest HG category. Handgrip quartiles are age and sex specific handgrip/kg body mass. Linear trend evaluated using Kruskal–Wallis test. Metabolic risk score is summed standardized residuals (z-score) by age and sex for HOMA score, waist circumference, TG, HDL-c, and systolic blood pressure.</p>", "links"=>[], "tags"=>["anatomy", "Musculoskeletal system", "cardiology", "health care", "Health care policy", "Child and adolescent health policy", "pediatrics", "Child health", "Public and occupational health", "Global health", "Health screening", "preventive medicine", "Sports and exercise medicine", "quartile", "handgrip", "children"], "article_id"=>990287, "categories"=>["Biological Sciences"], "users"=>["Daniel Dylan Cohen", "Diego Gómez-Arbeláez", "Paul Anthony Camacho", "Sandra Pinzon", "Claudia Hormiga", "Juanita Trejos-Suarez", "John Duperly", "Patricio Lopez-Jaramillo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093150.g002", "stats"=>{"downloads"=>1, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Metabolic_risk_score_according_to_quartile_of_handgrip_strength_in_8_8211_14_year_old_children_n_8202_8202_536_/990287", "title"=>"Metabolic risk score according to quartile of handgrip strength in 8–14 year old children (n = 536).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-08 02:50:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/1453866"], "description"=>"<p>Quartile 4 is highest handgrip strength category (used as referent). Handgrip quartiles are age and sex specific handgrip/kg body mass unadjusted (grey bars) or adjusted for cardiorespiratory fitness (white bars). Clustered risk is defined as 1 SD above the age and sex specific mean. Panel A: Adjusted for Odds ratios (95% CI) for clustered metabolic risk by HG across quartiles in 8–14 year olds (n = 546) age, sex, and maturation status. Panel B: Additionally adjusted for % body fat category.</p>", "links"=>[], "tags"=>["anatomy", "Musculoskeletal system", "cardiology", "health care", "Health care policy", "Child and adolescent health policy", "pediatrics", "Child health", "Public and occupational health", "Global health", "Health screening", "preventive medicine", "Sports and exercise medicine", "quartiles", "clustered", "metabolic", "children"], "article_id"=>990288, "categories"=>["Biological Sciences"], "users"=>["Daniel Dylan Cohen", "Diego Gómez-Arbeláez", "Paul Anthony Camacho", "Sandra Pinzon", "Claudia Hormiga", "Juanita Trejos-Suarez", "John Duperly", "Patricio Lopez-Jaramillo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093150.g003", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Handgrip_strength_quartiles_and_risk_of_clustered_metabolic_risk_in_8_8211_14_year_old_children_n_8202_8202_536_/990288", "title"=>"Handgrip strength quartiles and risk of clustered metabolic risk in 8–14 year old children (n = 536).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-08 02:50:08"}
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  • {"files"=>["https://ndownloader.figshare.com/files/1453869"], "description"=>"<p>Linear regression analysis adjusted for sex, age, tanner and cardiorespiratory fitness. T1–T2 = Low and middle third of % body fat; T3 = Upper third of % body fat.</p>", "links"=>[], "tags"=>["anatomy", "Musculoskeletal system", "cardiology", "health care", "Health care policy", "Child and adolescent health policy", "pediatrics", "Child health", "Public and occupational health", "Global health", "Health screening", "preventive medicine", "Sports and exercise medicine", "handgrip", "metabolic"], "article_id"=>990291, "categories"=>["Biological Sciences"], "users"=>["Daniel Dylan Cohen", "Diego Gómez-Arbeláez", "Paul Anthony Camacho", "Sandra Pinzon", "Claudia Hormiga", "Juanita Trejos-Suarez", "John Duperly", "Patricio Lopez-Jaramillo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0093150.t003", "stats"=>{"downloads"=>4, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_handgrip_strength_kg_body_mass_and_metabolic_risk_factors_in_8_8211_14_year_old_children_/990291", "title"=>"Association between handgrip strength/kg body mass and metabolic risk factors in 8–14 year old children.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-08 02:50:08"}
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PMC Usage Stats | Further Information

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Relative Metric

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