Body Mass Index, Muscle Strength and Physical Performance in Older Adults from Eight Cohort Studies: The HALCyon Programme
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{"title"=>"Body Mass Index, Muscle Strength and Physical Performance in Older Adults from Eight Cohort Studies: The HALCyon Programme", "type"=>"journal", "authors"=>[{"first_name"=>"Rebecca", "last_name"=>"Hardy", "scopus_author_id"=>"55619306030"}, {"first_name"=>"Rachel", "last_name"=>"Cooper", "scopus_author_id"=>"35354537000"}, {"first_name"=>"Avan", "last_name"=>"Aihie Sayer", "scopus_author_id"=>"7006450580"}, {"first_name"=>"Yoav", "last_name"=>"Ben-Shlomo", "scopus_author_id"=>"7006649063"}, {"first_name"=>"Cyrus", "last_name"=>"Cooper", "scopus_author_id"=>"36041345700"}, {"first_name"=>"Ian J.", "last_name"=>"Deary", "scopus_author_id"=>"56705691500"}, {"first_name"=>"Panayotes", "last_name"=>"Demakakos", "scopus_author_id"=>"6505997583"}, {"first_name"=>"John", "last_name"=>"Gallacher", "scopus_author_id"=>"7005198349"}, {"first_name"=>"Richard M.", "last_name"=>"Martin", "scopus_author_id"=>"55689388800"}, {"first_name"=>"Geraldine", "last_name"=>"McNeill", "scopus_author_id"=>"7005688281"}, {"first_name"=>"John M.", "last_name"=>"Starr", "scopus_author_id"=>"7101906583"}, {"first_name"=>"Andrew", "last_name"=>"Steptoe", "scopus_author_id"=>"7102289942"}, {"first_name"=>"Holly", "last_name"=>"Syddall", "scopus_author_id"=>"6701913980"}, {"first_name"=>"Diana", "last_name"=>"Kuh", "scopus_author_id"=>"8329745200"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84874279236", "doi"=>"10.1371/journal.pone.0056483", "pui"=>"368400280", "pmid"=>"23437142", "scopus"=>"2-s2.0-84874279236", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"e9e655ff-5908-3351-83ea-78f22f0e92a1", "abstract"=>"OBJECTIVE: To investigate the associations of body mass index (BMI) and grip strength with objective measures of physical performance (chair rise time, walking speed and balance) including an assessment of sex differences and non-linearity.\\n\\nMETHODS: Cross-sectional data from eight UK cohort studies (total N = 16,444) participating in the Healthy Ageing across the Life Course (HALCyon) research programme, ranging in age from 50 to 90+ years at the time of physical capability assessment, were used. Regression models were fitted within each study and meta-analysis methods used to pool regression coefficients across studies and to assess the extent of heterogeneity between studies.\\n\\nRESULTS: Higher BMI was associated with poorer performance on chair rise (N = 10,773), walking speed (N = 9,761) and standing balance (N = 13,921) tests. Higher BMI was associated with stronger grip strength in men only. Stronger grip strength was associated with better performance on all tests with a tendency for the associations to be stronger in women than men; for example, walking speed was higher by 0.43 cm/s (0.14, 0.71) more per kg in women than men. Both BMI and grip strength remained independently related with performance after mutual adjustment, but there was no evidence of effect modification. Both BMI and grip strength exhibited non-linear relations with performance; those in the lowest fifth of grip strength and highest fifth of BMI having particularly poor performance. Findings were similar when waist circumference was examined in place of BMI.\\n\\nCONCLUSION: Older men and women with weak muscle strength and high BMI have considerably poorer performance than others and associations were observed even in the youngest cohort (age 53). Although causality cannot be inferred from observational cross-sectional studies, our findings suggest the likely benefit of early assessment and interventions to reduce fat mass and improve muscle strength in the prevention of future functional limitations.", "link"=>"http://www.mendeley.com/research/body-mass-index-muscle-strength-physical-performance-older-adults-eight-cohort-studies-halcyon-progr-5", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Researcher"=>4, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Researcher"=>4, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>2, "Medicine and Dentistry"=>5, "Arts and Humanities"=>1, "Sports and Recreations"=>2, "Business, Management and Accounting"=>1, "Psychology"=>3, "Social Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "group_count"=>3}

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  • {"files"=>["https://ndownloader.figshare.com/files/957495"], "description"=>"<p>Footnote: Models adjusted for age (where appropriate) and height.</p>", "links"=>[], "tags"=>["public health and epidemiology", "Mental health", "physiology"], "article_id"=>627640, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_grip_strength_kg_and_chair_rise_performance_/627640", "title"=>"Association between grip strength (kg) and chair rise performance (%).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:07:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/957497"], "description"=>"<p>Footnote: Models adjusted for age (where appropriate) and height.</p>", "links"=>[], "tags"=>["public health and epidemiology", "Mental health", "physiology"], "article_id"=>627643, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.g005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_grip_strength_kg_and_walking_speed_cm_s_/627643", "title"=>"Association between grip strength (kg) and walking speed (cm/s).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:07:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/957501"], "description"=>"<p>Footnote: Models adjusted for age (where appropriate) and height.</p>", "links"=>[], "tags"=>["inability", "seconds"], "article_id"=>627647, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.g006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_grip_strength_kg_and_inability_to_balance_for_5_seconds_OR_/627647", "title"=>"Association between grip strength (kg) and inability to balance for 5 seconds (OR).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:07:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/957505", "https://ndownloader.figshare.com/files/957508", "https://ndownloader.figshare.com/files/957510", "https://ndownloader.figshare.com/files/957512", "https://ndownloader.figshare.com/files/957515", "https://ndownloader.figshare.com/files/957516", "https://ndownloader.figshare.com/files/957518", "https://ndownloader.figshare.com/files/957521", "https://ndownloader.figshare.com/files/957522"], "description"=>"<div><p>Objective</p><p>To investigate the associations of body mass index (BMI) and grip strength with objective measures of physical performance (chair rise time, walking speed and balance) including an assessment of sex differences and non-linearity.</p> <p>Methods</p><p>Cross-sectional data from eight UK cohort studies (total N = 16 444) participating in the Healthy Ageing across the Life Course (HALCyon) research programme, ranging in age from 50 to 90+ years at the time of physical capability assessment, were used. Regression models were fitted within each study and meta-analysis methods used to pool regression coefficients across studies and to assess the extent of heterogeneity between studies.</p> <p>Results</p><p>Higher BMI was associated with poorer performance on chair rise (N = 10 773), walking speed (N = 9 761) and standing balance (N = 13 921) tests. Higher BMI was associated with stronger grip strength in men only. Stronger grip strength was associated with better performance on all tests with a tendency for the associations to be stronger in women than men; for example, walking speed was higher by 0.43 cm/s (0.14, 0.71) more per kg in women than men. Both BMI and grip strength remained independently related with performance after mutual adjustment, but there was no evidence of effect modification. Both BMI and grip strength exhibited non-linear relations with performance; those in the lowest fifth of grip strength and highest fifth of BMI having particularly poor performance. Findings were similar when waist circumference was examined in place of BMI.</p> <p>Conclusion</p><p>Older men and women with weak muscle strength and high BMI have considerably poorer performance than others and associations were observed even in the youngest cohort (age 53). Although causality cannot be inferred from observational cross-sectional studies, our findings suggest the likely benefit of early assessment and interventions to reduce fat mass and improve muscle strength in the prevention of future functional limitations.</p> </div>", "links"=>[], "tags"=>["older", "adults", "cohort", "halcyon", "programme"], "article_id"=>627651, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.s001", "https://dx.doi.org/10.1371/journal.pone.0056483.s002", "https://dx.doi.org/10.1371/journal.pone.0056483.s003", "https://dx.doi.org/10.1371/journal.pone.0056483.s004", "https://dx.doi.org/10.1371/journal.pone.0056483.s005", "https://dx.doi.org/10.1371/journal.pone.0056483.s006", "https://dx.doi.org/10.1371/journal.pone.0056483.s007", "https://dx.doi.org/10.1371/journal.pone.0056483.s008", "https://dx.doi.org/10.1371/journal.pone.0056483.s009"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Body_Mass_Index_Muscle_Strength_and_Physical_Performance_in_Older_Adults_from_Eight_Cohort_Studies_The_HALCyon_Programme__/627651", "title"=>"Body Mass Index, Muscle Strength and Physical Performance in Older Adults from Eight Cohort Studies: The HALCyon Programme", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-02-20 02:07:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/1004883"], "description"=>"1<p>Number of participants with a measure of BMI and at least one valid physical performance measure.</p>2<p>Grip strength measured at wave 1 (as well as wave 2). Performance tests measured only at wave 2.</p>3<p>Physical performance tests measured at either wave 1 or wave 2. LBC1921 = Lothian Birth Cohort 1921, CaPs = Caerphilly Prospective Study, HCS = Hertfordshire cohort study, HAS = Hertfordshire Ageing Study, ELSA = English Longitudinal Study of Ageing, ABC1936 = Aberdeen Birth Cohort 1936, NSHD = MRC National Survey of Health and Development.</p>", "links"=>[], "tags"=>["men", "women", "halcyon"], "article_id"=>665496, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_men_and_women_in_the_8_HALCyon_cohorts_/665496", "title"=>"Characteristics of men and women in the 8 HALCyon cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 01:31:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/1004911"], "description"=>"1<p>Obtained from a meta-analysis of within-study interaction terms from models also including the main effects of BMI and sex (men coded as 0 and women coded as 1), and adjusted for age and height.</p>", "links"=>[], "tags"=>["regression", "coefficients", "meta-analysis", "within-study", "estimates", "bmi", "measures"], "article_id"=>665523, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_regression_coefficients_obtained_by_random_effects_meta_analysis_of_within_study_estimates_of_the_association_between_BMI_and_grip_strength_and_BMI_and_the_performance_measures_models_also_include_age_where_appropriate_and_height_/665523", "title"=>"Summary regression coefficients obtained by random effects meta-analysis of within-study estimates of the association between BMI and grip strength and BMI and the performance measures (models also include age, where appropriate, and height).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 01:32:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1004938"], "description"=>"1<p>Binary variable for grip strength is defined as the lowest fifth versus the highest four fifths and binary variable for BMI is defined as the highest fifth versus the lowest four fifths. Hence regression coefficients display the difference for the at risk group versus the rest for both variables.</p>", "links"=>[], "tags"=>["regression", "coefficients", "meta-analysis", "within-study", "estimates", "bmi"], "article_id"=>665552, "categories"=>["Physiology", "Mental Health", "Biotechnology"], "users"=>["Rebecca Hardy", "Rachel Cooper", "Avan Aihie Sayer", "Yoav Ben-Shlomo", "Cyrus Cooper", "Ian J. Deary", "Panayotes Demakakos", "John Gallacher", "Richard M. Martin", "Geraldine McNeill", "John M. Starr", "Andrew Steptoe", "Holly Syddall", "Diana Kuh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0056483.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_regression_coefficients_obtained_from_random_effects_meta_analysis_of_within_study_estimates_from_models_including_both_BMI_and_grip_strength_models_also_include_age_where_appropriate_and_height_in_four_studies_/665552", "title"=>"Summary regression coefficients obtained from random effects meta-analysis of within-study estimates from models including both BMI and grip strength (models also include age, where appropriate, and height) in four studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 01:32:32"}

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Relative Metric

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