Influence of age and gender on fat mass, fat-free mass and skeletal muscle mass among Australian adults: The Australian diabetes, obesity and lifestyle study (AusDiab)
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J. Shaw | D. Dunstan | P. Zimmet | C. Strugnell | D. Magliano | P. Gardiner | A. Jackson | B. Murphy | J. Salmon | R. Daly | M. Rogerson | Michael R. Le Grande
[1] Morten Wang Fagerland,et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women , 2016, The Lancet.
[2] D. Dunstan,et al. The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) , 2001 .
[3] Takemi Sugiyama,et al. Perceived neighbourhood environmental attributes and prospective changes in TV viewing time among older Australian adults , 2015, International Journal of Behavioral Nutrition and Physical Activity.
[4] W. Rosamond,et al. Prevalence of Physical Activity and Sedentary Behavior Among Adults With Cardiovascular Disease in the United States , 2014, Journal of cardiopulmonary rehabilitation and prevention.
[5] Ilse de Bourdeaudhuij,et al. Relationships of individual, social, and physical environmental factors with older adults' television viewing time. , 2014, Journal of aging and physical activity.
[6] E. Roth,et al. Physical Activity and Exercise Recommendations for Stroke Survivors: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association , 2014, Stroke.
[7] M Hamer,et al. Television viewing time and risk of incident diabetes mellitus: the English Longitudinal Study of Ageing , 2014, Diabetic medicine : a journal of the British Diabetic Association.
[8] K. Evenson,et al. Prevalence of Physical Activity and Sedentary Behavior Among Stroke Survivors in the United States , 2014, Topics in stroke rehabilitation.
[9] Scott B Going,et al. Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women's Health Initiative. , 2013, Journal of the American College of Cardiology.
[10] B. Heitmann,et al. The use of bioelectrical impedance analysis for body composition in epidemiological studies , 2013, European Journal of Clinical Nutrition.
[11] A. Bauman,et al. Development of evidence-based physical activity recommendations for adults (18-64 years): report prepared for the Australian Government Department of Health, August 2012 , 2013 .
[12] Emily Banks,et al. Sitting time and all cause mortality risk in 222,497 Australian adults , 2012 .
[13] S. Marshall,et al. Methods of Measurement in epidemiology: sedentary Behaviour. , 2012, International journal of epidemiology.
[14] Yong-jun Choi,et al. Prevalence of sarcopenia and sarcopenic obesity in the Korean population based on the Fourth Korean National Health and Nutritional Examination Surveys. , 2012, The journals of gerontology. Series A, Biological sciences and medical sciences.
[15] A. Rissanen,et al. Agreement of bioelectrical impedance with dual-energy X-ray absorptiometry and MRI to estimate changes in body fat, skeletal muscle and visceral fat during a 12-month weight loss intervention , 2012, British Journal of Nutrition.
[16] X. He,et al. Comparison of fat-free mass index and fat mass index in Chinese adults , 2012, European Journal of Clinical Nutrition.
[17] N. Owen,et al. Correlates of change in adults' television viewing time: a four-year follow-up study. , 2012, Medicine and science in sports and exercise.
[18] R. Chapurlat,et al. Age determines longitudinal changes in body composition better than menopausal and bone status: The OFELY study , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[19] Yikyung Park,et al. Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. , 2012, The American journal of clinical nutrition.
[20] N. Owen,et al. Television Viewing Time is Associated with Overweight/Obesity Among Older Adults, Independent of Meeting Physical Activity and Health Guidelines , 2011, Journal of epidemiology.
[21] B. Gersh. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants , 2012 .
[22] L. Ferrucci,et al. Glucose and insulin measurements from the oral glucose tolerance test and relationship to muscle mass. , 2012, The journals of gerontology. Series A, Biological sciences and medical sciences.
[23] K. Chittawatanarat,et al. The variations of body mass index and body fat in adult Thai people across the age spectrum measured by bioelectrical impedance analysis , 2011, Clinical interventions in aging.
[24] S. Gortmaker,et al. Health and economic burden of the projected obesity trends in the USA and the UK , 2011, The Lancet.
[25] R. Baumgartner,et al. Sarcopenia and obesity. , 2011, Clinics in geriatric medicine.
[26] Yongbum Park,et al. Norm references of fat-free mass index and fat mass index and subtypes of obesity based on the combined FFMI-%BF indices in the Korean adults aged 18-89 yr. , 2011, Obesity research & clinical practice.
[27] Stephen J. Sharp,et al. Television Viewing and Incident Cardiovascular Disease: Prospective Associations and Mediation Analysis in the EPIC Norfolk Study , 2011, PloS one.
[28] C. Matthews,et al. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. , 2011, European heart journal.
[29] Gretchen A. Stevens,et al. National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million participants , 2011, The Lancet.
[30] Gretchen A. Stevens,et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants , 2011, The Lancet.
[31] U. Ekelund,et al. Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. , 2011, International journal of epidemiology.
[32] Emmanuel Stamatakis,et al. Screen-based entertainment time, all-cause mortality, and cardiovascular events: population-based study with ongoing mortality and hospital events follow-up. , 2011, Journal of the American College of Cardiology.
[33] S. Heymsfield,et al. Fat-free mass index: changes and race/ethnic differences in adulthood , 2011, International Journal of Obesity.
[34] Ali Yalfani,et al. The long-term benefits of cardiac rehabilitation on depression, anxiety, physical activity and quality of life. , 2010, Journal of clinical nursing.
[35] J. Shaw,et al. Socio-demographic correlates of prolonged television viewing time in Australian men and women: the AusDiab study. , 2010, Journal of physical activity & health.
[36] R. von Känel,et al. Lack of Social Support in the Etiology and the Prognosis of Coronary Heart Disease: A Systematic Review and Meta-Analysis , 2010, Psychosomatic medicine.
[37] J. Salmon,et al. Sedentary Behavior and Depression Among Adults: A Review , 2010, International journal of behavioral medicine.
[38] J. Shaw,et al. Television Viewing Time and Mortality: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) , 2010, Circulation.
[39] Patrick J O'Connor,et al. Maintaining physical activity among older adults: 24-month outcomes of the Keep Active Minnesota randomized controlled trial. , 2010, Preventive medicine.
[40] Abby C King,et al. Identifying subgroups of U.S. adults at risk for prolonged television viewing to inform program development. , 2010, American journal of preventive medicine.
[41] F. Paccaud,et al. Obesity markers and estimated 10-year fatal cardiovascular risk in Switzerland. , 2009, Nutrition, metabolism, and cardiovascular diseases : NMCD.
[42] Karen Robson,et al. The Stata Survival Manual , 2009 .
[43] U. Wisløff,et al. Physical activity and mortality in men and women with coronary heart disease: a prospective population-based cohort study in Norway (the HUNT study) , 2008, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.
[44] Martin Heller,et al. Accuracy of Bioelectrical Impedance Consumer Devices for Measurement of Body Composition in Comparison to Whole Body Magnetic Resonance Imaging and Dual X-Ray Absorptiometry , 2008, Obesity Facts.
[45] Maria Thomson,et al. The Association of Television Viewing with Snacking Behavior and Body Weight of Young Adults , 2008, American journal of health promotion : AJHP.
[46] N. Owen,et al. Is Television Viewing Time a Marker of a Broader Pattern of Sedentary Behavior? , 2008, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[47] P. Whincup,et al. Decreased muscle mass and increased central adiposity are independently related to mortality in older men. , 2007, The American journal of clinical nutrition.
[48] M. Kuzuya,et al. Anthropometric measurements of mid-upper arm as a mortality predictor for community-dwelling Japanese elderly: the Nagoya Longitudinal Study of Frail Elderly (NLS-FE). , 2007, Clinical Nutrition.
[49] J. Shaw,et al. Risk of Cardiovascular and All-Cause Mortality in Individuals With Diabetes Mellitus, Impaired Fasting Glucose, and Impaired Glucose Tolerance: The Australian Diabetes, Obesity, and Lifestyle Study (AusDiab) , 2007, Circulation.
[50] R. Klein,et al. Three-year incidence and cumulative prevalence of retinopathy: the atherosclerosis risk in communities study. , 2007, American journal of ophthalmology.
[51] J. J. Wang,et al. Five-year incidence and progression of diabetic retinopathy in a defined older population: the Blue Mountains Eye Study , 2007, Eye.
[52] T. Dwyer,et al. Dual energy X-ray absorptiometry body composition and aging in a population-based older cohort , 2007, International Journal of Obesity.
[53] J. Shaw,et al. Glucose indices , health behaviours and incidence of diabetes in Australia : the AusDiab study , 2007 .
[54] G. Berglund,et al. Effects of body fatness and physical activity on cardiovascular risk: Risk prediction using the bioelectrical impedance method , 2006, Scandinavian journal of public health.
[55] C. Pichard,et al. Eight-Year Longitudinal Changes in Body Composition in Healthy Swiss Adults , 2006, Journal of the American College of Nutrition.
[56] J. J. Wang,et al. Five-year incidence and progression of vascular retinopathy in persons without diabetes: the Blue Mountains Eye Study , 2006, Eye.
[57] S. Kritchevsky,et al. The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. , 2006, The journals of gerontology. Series A, Biological sciences and medical sciences.
[58] R. Holman,et al. Additive effects of glycaemia and blood pressure exposure on risk of complications in type 2 diabetes: a prospective observational study (UKPDS 75) , 2006, Diabetologia.
[59] R. Klein,et al. Do retinopathy signs in non-diabetic individuals predict the subsequent risk of diabetes? , 2006, British Journal of Ophthalmology.
[60] I. Janssen. Influence of Sarcopenia on the Development of Physical Disability: The Cardiovascular Health Study , 2006, Journal of the American Geriatrics Society.
[61] Ronald Klein,et al. The relationship of retinopathy in persons without diabetes to the 15-year incidence of diabetes and hypertension: Beaver Dam Eye Study. , 2006, Transactions of the American Ophthalmological Society.
[62] D. Jolley,et al. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults , 2005, Diabetologia.
[63] C. Rotimi,et al. Ethnic and age-related fat free mass loss in older Americans: The Third National Health and Nutrition Examination Survey (NHANES III) , 2005, BMC public health.
[64] R. Coleman,et al. Effects of exercise and stress management training on markers of cardiovascular risk in patients with ischemic heart disease: a randomized controlled trial. , 2005, JAMA.
[65] S. Rubin,et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. , 2005, The journals of gerontology. Series A, Biological sciences and medical sciences.
[66] Ronald Klein,et al. Retinopathy and risk of congestive heart failure. , 2005, JAMA.
[67] C. Kooperberg,et al. Comparison of self-report, hospital discharge codes, and adjudication of cardiovascular events in the Women's Health Initiative. , 2004, American journal of epidemiology.
[68] M. Elia,et al. Bioelectrical impedance analysis--part I: review of principles and methods. , 2004, Clinical nutrition.
[69] S G Trost,et al. Test-retest reliability of four physical activity measures used in population surveys. , 2004, Journal of science and medicine in sport.
[70] S. Ebrahim,et al. Exercise-based rehabilitation for patients with coronary heart disease: systematic review and meta-analysis of randomized controlled trials. , 2004, The American journal of medicine.
[71] R. Carney,et al. Exercise, depression, and mortality after myocardial infarction in the ENRICHD trial. , 2004, Medicine and science in sports and exercise.
[72] Stephen J. Aldington,et al. Methodology for retinal photography and assessment of diabetic retinopathy: the EURODIAB IDDM Complications Study , 1995, Diabetologia.
[73] A. Tonkin,et al. Accuracy of the Australian National Death Index: comparison with adjudicated fatal outcomes among Australian participants in the Long‐term Intervention with Pravastatin in Ischaemic Disease (LIPID) study , 2003, Australian and New Zealand journal of public health.
[74] E. Rimm,et al. Reproducibility and validity of the Diet Quality Index Revised as assessed by use of a food-frequency questionnaire. , 2003, The American journal of clinical nutrition.
[75] S. Rubin,et al. Sarcopenia: Alternative Definitions and Associations with Lower Extremity Function , 2003, Journal of the American Geriatrics Society.
[76] H. Taylor,et al. Five‐year incidence of diabetic retinopathy in the Melbourne Visual Impairment Project , 2003, Clinical & experimental ophthalmology.
[77] J. Shaw,et al. Untreated hypertension among Australian adults: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab) , 2003, The Medical journal of Australia.
[78] Claude Pichard,et al. Body composition interpretation. Contributions of the fat-free mass index and the body fat mass index. , 2003, Nutrition.
[79] Beverley Balkau,et al. The prevalence of and factors associated with diabetic retinopathy in the Australian population. , 2003, Diabetes care.
[80] R. Klein,et al. Retinal microvascular abnormalities and 10-year cardiovascular mortality: a population-based case-control study. , 2003, Ophthalmology.
[81] M. C. Leske,et al. Incidence of diabetic retinopathy in the Barbados Eye Studies. , 2003, Ophthalmology.
[82] Jo Salmon,et al. Physical activity and sedentary behavior: a population-based study of barriers, enjoyment, and preference. , 2003, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.
[83] Giel Nijpels,et al. Risk factors for incident retinopathy in a diabetic and nondiabetic population: the Hoorn study. , 2003, Archives of ophthalmology.
[84] Jonathan Krakoff,et al. Longitudinal studies of incidence and progression of diabetic retinopathy assessed by retinal photography in pima indians. , 2003, Diabetes care.
[85] G. Berglund,et al. A prospective study of adiposity and postmenopausal breast cancer risk: The Malmö diet and cancer study , 2003, International journal of cancer.
[86] Shumei S. Guo,et al. Body composition estimates from NHANES III bioelectrical impedance data , 2002, International Journal of Obesity.
[87] M. Law,et al. The underlying risk of death after myocardial infarction in the absence of treatment. , 2002, Archives of internal medicine.
[88] M. Blumenkranz,et al. The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography. , 2002, American journal of ophthalmology.
[89] J. Shaw,et al. The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)--methods and response rates. , 2002, Diabetes research and clinical practice.
[90] Y Schutz,et al. Fat-free mass index and fat mass index percentiles in Caucasians aged 18–98 y , 2002, International Journal of Obesity.
[91] Robert Ross,et al. Low Relative Skeletal Muscle Mass (Sarcopenia) in Older Persons Is Associated with Functional Impairment and Physical Disability , 2002, Journal of the American Geriatrics Society.
[92] K. Pollock,et al. Exercise in treating depression: broadening the psychotherapist's role. , 2001, Journal of clinical psychology.
[93] R. Klein,et al. Retinal microvascular abnormalities and incident stroke: the Atherosclerosis Risk in Communities Study , 2001, The Lancet.
[94] C. Pichard,et al. Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years , 2001, European Journal of Clinical Nutrition.
[95] H. Tanaka,et al. Relation between body composition and age in healthy Japanese subjects , 2001, European Journal of Clinical Nutrition.
[96] Jeroen Weesie,et al. Analysis of the turning point of a quadratic specification , 2001 .
[97] A. Astrup,et al. Obesity : Preventing and managing the global epidemic , 2000 .
[98] N. Owen,et al. Environmental Determinants of Physical Activity and Sedentary Behavior , 2000, Exercise and sport sciences reviews.
[99] S. Heymsfield,et al. Weight stability masks sarcopenia in elderly men and women. , 2000, American journal of physiology. Endocrinology and metabolism.
[100] R. Ross,et al. Estimation of skeletal muscle mass by bioelectrical impedance analysis. , 2000, Journal of applied physiology.
[101] R. Ross,et al. Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. , 2000, Journal of applied physiology.
[102] A. Bauman,et al. The association between television viewing and overweight among Australian adults participating in varying levels of leisure-time physical activity , 2000, International Journal of Obesity.
[103] Y Schutz,et al. Reference values of fat-free and fat masses by bioelectrical impedance analysis in 3393 healthy subjects. , 2000, Nutrition.
[104] Jeff Hebert,et al. Impact of Aerobic Training on Fitness and Quality of Life in Multiple Sclerosis. , 2000 .
[105] M. Viitanen,et al. Validity of Self-Reported Stroke The Tromsø Study , 2000 .
[106] M. Kawai,et al. Body mass index (weight/height2) or percentage body fat by bioelectrical impedance analysis: which variable better reflects serum lipid profile? , 1999, International Journal of Obesity.
[107] Uk-Prospective-Diabetes-Study-Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) , 1998, The Lancet.
[108] S. Heymsfield,et al. Epidemiology of sarcopenia among the elderly in New Mexico. , 1998, American journal of epidemiology.
[109] B. Zinman,et al. Bioelectrical impedance analysis (BIA) using bipolar foot electrodes in the assessment of body composition in Type 2 diabetes mellitus , 1998, Diabetic medicine : a journal of the British Diabetic Association.
[110] R N Pierson,et al. Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. , 1997, Journal of applied physiology.
[111] R. Klein,et al. The relation of systemic hypertension to changes in the retinal vasculature: the Beaver Dam Eye Study. , 1997, Transactions of the American Ophthalmological Society.
[112] E L Korn,et al. Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. , 1997, American journal of epidemiology.
[113] M Stokes,et al. The size and strength of the quadriceps muscles of old and young men. , 1985, Clinical physiology.
[114] M. Stokes,et al. Size and strength of the quadriceps muscles of old and young women * , 1984, European journal of clinical investigation.
[115] A. Keys,et al. DENSITOMETRIC ANALYSIS OF BODY COMPOSITION: REVISION OF SOME QUANTITATIVE ASSUMPTIONS * , 1963, Annals of the New York Academy of Sciences.