The Predicting Factors of the Elderly Body Composition in Lampang Province

Authors

  • wanida Intharacha Boromarajonani College of Nursing, Nakhon Lampang, Faculty of nursing, Praboromarajchanok Institute
  • Payom Thin-uan Boromarajonani College of Nursing, Nakhon Lampang, Faculty of nursing, Praboromarajchanok Institute
  • Benjaporn Saovapha Boromarajonani College of Nursing, Nakhon Lampang, Faculty of nursing, Praboromarajchanok Institute
  • Sirirat Sripattarangkul Boromarajonani College of Nursing, Nakhon Lampang, Faculty of nursing, Praboromarajchanok Institute
  • Kannapatch Srithong Boromarajonani College of Nursing, Nakhon Lampang, Faculty of nursing, Praboromarajchanok Institute

Keywords:

Elderly, Body Composition, Predicting Factors of the Elderly Body Composition

Abstract

        The study of various factors that related to physical composition can be used to predict various aspects of the elderly's body composition and as a result can be a guideline for promoting the physical health of the elderly. This descriptive research aimed to study the body composition of the elderly and the predictors of elderly body composition. The sample consisted of elderly people aged 60 years and over. The research instruments consisted of 2 parts: part 1. questionnaires: 1) General information 2) Basic activities daily living assessment 3) Nutrition 4) Physical activity 5) Depression assessment 6) Happy Perception and part 2: body composition tool. Descriptive statistics and multiple linear regression were performed.
       The results revealed that the participants had normal muscle mass (65.29%), high level of body fat mass (59.23%), high level of abdominal fat (67.22%), and mineral mass in normal value (80.72%). Predictive factors of body composition were 1) muscle mass: females, physical activity, weight, height, education and depression were able to explain 35.8% of the variation (R2 = .358). 2) body fat mass: female, BMI, weight and age were able to explain 87.1% of the variation (R2 = .871) 3) abdominal fat level: BMI, nutritional, female, physical activity and age were able to explain 69.9% of the variation (R2 = .699). 4) the mineral mass: female, weight, height and age were able to explain 99.2% of the variation (R2 = .992). Therefore, the results of this study can be used as a guideline to assess the elderly health problem for enhancing the quality of life.

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Published

2020-11-30

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Research Articles