Literature DB >> 32005425

Factors associated with sarcopenia: A cross-sectional analysis using UK Biobank.

Fanny Petermann-Rocha1, Minghao Chen2, Stuart R Gray2, Frederick K Ho3, Jill P Pell3, Carlos Celis-Morales4.   

Abstract

INTRODUCTION: The critical sociodemographic, lifestyle and diseases factors influencing sarcopenia, defined by the current European Working Group on Sarcopenia 2 (EWGSOP2) classification and cut-off points, have not yet been fully elucidated. This study aimed, therefore, to determine sociodemographic, anthropometric, lifestyle and health-related factors associated with sarcopenia using the new EWGSOP2 definition. STUDY
DESIGN: 396,283 participants (52.8 % women, age 38-73 years) were included in this cross-sectional study. The potential factors associated with sarcopenia were allocated to four categories: sociodemographic (sex, age, education, income and professional qualification), anthropometric (nutritional status, abdominal obesity, body fat and birth weight), lifestyle (physical activity, smoking, sleeping, sitting time, TV viewing, alcohol, and dietary intakes) and health status (self-reported prevalent diseases). P-values were corrected for multiple testing using the Bonferroni method.
RESULTS: Age, women, lower education, higher deprivation, underweight, lower birth weight, and chronic diseases such as rheumatoid arthritis, chronic bronchitis and osteoporosis were associated with a higher likelihood of sarcopenia. Conversely, overweight, obesity, as well as a self-reported higher intake of energy, protein, vitamins (B12 and B9) and minerals (potassium, calcium and magnesium) were associated with lower odds of sarcopenia.
CONCLUSION: Women, people aged over 65 years, underweight people and those with rheumatoid arthritis were most likely to have sarcopenia. Considering the increase in the ageing population, sarcopenia is likely to become more prevalent. Identifying factors associated with sarcopenia could inform future strategies for early identification of individuals at high risk of sarcopenia and therefore the implementation of preventive strategies against the disease.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EWGSOP2; Lifestyle; Risk factors; Sarcopenia

Mesh:

Year:  2020        PMID: 32005425     DOI: 10.1016/j.maturitas.2020.01.004

Source DB:  PubMed          Journal:  Maturitas        ISSN: 0378-5122            Impact factor:   4.342


  23 in total

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Authors:  Hui Jie Wong; Sakinah Harith; Pei Lin Lua; Khairul Azmi Ibrahim
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5.  Factors associated with sarcopenia screened by finger-circle test among middle-aged and older adults: a population-based multisite cross-sectional survey in Japan.

Authors:  Daiki Watanabe; Tsukasa Yoshida; Takashi Nakagata; Naomi Sawada; Yosuke Yamada; Kayo Kurotani; Kenji Tanaka; Megumi Okabayashi; Hidekazu Shimada; Hidemi Takimoto; Nobuo Nishi; Keiichi Abe; Motohiko Miyachi
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7.  Sarcopenia in hospitalized geriatric patients: insights into prevalence and associated parameters using new EWGSOP2 guidelines.

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Journal:  Eur J Clin Nutr       Date:  2020-10-15       Impact factor: 4.016

8.  Skeletal muscle mass at C3 may not be a strong predictor for skeletal muscle mass at L3 in sarcopenic patients with head and neck cancer.

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Review 9.  Nutrition and Sarcopenia-What Do We Know?

Authors:  Aravinda Ganapathy; Jeri W Nieves
Journal:  Nutrients       Date:  2020-06-11       Impact factor: 5.717

10.  Acute effects of whey protein on energy intake, appetite and gastric emptying in younger and older, obese men.

Authors:  Avneet Oberoi; Caroline Giezenaar; Caroline Jensen; Kylie Lange; Trygve Hausken; Karen L Jones; Michael Horowitz; Ian Chapman; Stijn Soenen
Journal:  Nutr Diabetes       Date:  2020-10-02       Impact factor: 5.097

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