Association of 24-h movement behaviors with phase angle in community-dwelling older adults: a compositional data analysis

[1]  K. Norman,et al.  Role of phase angle in older adults with focus on the geriatric syndromes sarcopenia and frailty , 2022, Reviews in Endocrine and Metabolic Disorders.

[2]  T. Nakagata,et al.  Phase angle obtained via bioelectrical impedance analysis and objectively measured physical activity or exercise habits , 2022, Scientific Reports.

[3]  J. Parraca,et al.  Effects of exercise programs on phase angle in older adults: A systematic review and meta-analysis. , 2022, Archives of gerontology and geriatrics.

[4]  Kenji Tsunoda,et al.  Physical Activity Intensity and Suspected Dementia in Older Japanese Adults: A Dose-Response Analysis Based on an 8-Year Longitudinal Study. , 2022, Journal of Alzheimer's disease : JAD.

[5]  C. Lustenberger,et al.  The Potential Role of Sleep in Promoting a Healthy Body Composition: Underlying Mechanisms Determining Muscle, Fat, and Bone Mass and Their Association with Sleep , 2021, Neuroendocrinology.

[6]  S. Chastin,et al.  Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns , 2019, Statistical methods in medical research.

[7]  Rafael Reimann Baptista,et al.  Association between phase angle from bioelectrical impedance analysis and level of physical activity: Systematic review and meta-analysis. , 2019, Clinical nutrition.

[8]  A. Donnelly,et al.  Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults , 2019, Sports Medicine.

[9]  M. Yamada,et al.  Association of bioimpedance phase angle and prospective falls in older adults , 2019, Geriatrics & gerontology international.

[10]  G. C. Souza,et al.  Phase angle and mortality: a systematic review , 2019, European Journal of Clinical Nutrition.

[11]  Karel Hron,et al.  The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour , 2019, Statistical methods in medical research.

[12]  S. Torii,et al.  Dietary patterns and abdominal obesity in middle-aged and elderly Japanese adults: Waseda Alumni's Sports, Exercise, Daily Activity, Sedentariness and Health Study (WASEDA'S Health Study). , 2019, Nutrition.

[13]  Karel Hron,et al.  Compositional data analysis for physical activity, sedentary time and sleep research , 2018, Statistical methods in medical research.

[14]  Y. Kawakami,et al.  Intracellular-to-total water ratio explains the variability of muscle strength dependence on the size of the lower leg in the elderly , 2018, Experimental Gerontology.

[15]  S. Chastin,et al.  Associations between sedentary time, physical activity and bone health among older people using compositional data analysis , 2018, PloS one.

[16]  Emmanuel Stamatakis,et al.  How does light-intensity physical activity associate with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies , 2018, British Journal of Sports Medicine.

[17]  N. Watanabe,et al.  Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. , 2017, Sleep medicine.

[18]  Keisuke Fujii,et al.  Study protocol and overview of the Kasama Study: Creating a comprehensive, community-based system for preventive nursing care and supporting successful aging , 2017 .

[19]  Dawn A. Skelton,et al.  Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach , 2015, PloS one.

[20]  Hsi-Chung Chen,et al.  The Relationship of Sleep Duration with Obesity and Sarcopenia in Community-Dwelling Older Adults , 2015, Gerontology.

[21]  R. Daly,et al.  Associations between sedentary behaviour and body composition, muscle function and sarcopenia in community-dwelling older adults , 2015, Osteoporosis International.

[22]  J. Rey-Lopez,et al.  Sedentary behavior and health outcomes among older adults: a systematic review , 2014, BMC Public Health.

[23]  Matthias Pirlich,et al.  Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters. , 2012, Clinical nutrition.

[24]  S. Redline,et al.  The Association between Sleep Duration and Obesity in Older Adults , 2008, International Journal of Obesity.

[25]  A. Bosy-Westphal,et al.  Phase angle from bioelectrical impedance analysis: population reference values by age, sex, and body mass index. , 2006, JPEN. Journal of parenteral and enteral nutrition.

[26]  Stewart G Trost,et al.  Conducting accelerometer-based activity assessments in field-based research. , 2005, Medicine and science in sports and exercise.

[27]  M. Dittmar.  Reliability and variability of bioimpedance measures in normal adults: effects of age, gender, and body mass. , 2003, American journal of physical anthropology.

[28]  L. DiPietro,et al.  Physical activity in aging: changes in patterns and their relationship to health and function. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  S A Jebb,et al.  Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model. , 2000, The British journal of nutrition.

[30]  W. Chumlea,et al.  Bioelectric impedance phase angle and body composition. , 1988, The American journal of clinical nutrition.

[31]  Dale W Esliger,et al.  Accelerometer assessment of physical activity in active, healthy older adults. , 2009, Journal of aging and physical activity.

[32]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.