The Effect of Exercise Program on Health and Depression in the Elderly

Park, Jeong-Mo; Han, Shin Hi

doi:10.4040/jkan.2003.33.2.220

Cited by 14 publications

(6 citation statements)

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“…E. Lee & Choi, 1999; Timonen, Rantanen, Timonen, & Sulkava, 2002), where the same and other depression measurement tools were utilized. However, in previous studies (Jeon, 1996; J. M. Park & Han, 2003; Yoon & Choi, 2002) that utilized Yesavage's (1998) Geriatric Depression Scale, depression in exercise groups did not change with exercise intervention although the lengths of the exercise programs were longer than that of this study. This discordance may be attributed to the difference in the measurement tools used and the fact that depression is influenced by age (J.…”

Section: Discussioncontrasting

confidence: 69%

“…In elderly people, physical exercise has positively affected physical fitness; prevented or alleviated symptoms of chronic diseases (e.g., arthritis, hypertension, lumbago, sciatica, osteoporosis, diabetes); and improved mental health (e.g., depression) (Christmas & Andersen, 2000). The positive effects of physical exercise on the psychoemotional well‐being and quality of life have been reported in several Korean studies (Jung, 2002; J. M. Park & Han, 2003). Specifically, depression and insomnia among elderly people has been shown to be decreased by the increase of social interactions through group exercise interventions (Jung, 2002; J. M. Park & Han, 2003).…”

mentioning

confidence: 82%

“…The positive effects of physical exercise on the psychoemotional well‐being and quality of life have been reported in several Korean studies (Jung, 2002; J. M. Park & Han, 2003). Specifically, depression and insomnia among elderly people has been shown to be decreased by the increase of social interactions through group exercise interventions (Jung, 2002; J. M. Park & Han, 2003). However, previous studies have not considered the socioeconomic status of subjects in terms of their accessibility to health promotion programs.…”

mentioning

confidence: 82%

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Retracted:Effects of Exercise Program on Physical Fitness, Depression, and Self‐Efficacy of Low‐Income Elderly Women in South Korea

Shin¹,

Kang²,

Park³

et al. 2009

Public Health Nursing

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Section: Discussioncontrasting

confidence: 69%

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confidence: 82%

mentioning

confidence: 82%

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Retracted:Effects of Exercise Program on Physical Fitness, Depression, and Self‐Efficacy of Low‐Income Elderly Women in South Korea

Shin¹,

Kang²,

Park³

et al. 2009

Public Health Nursing

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“…보인 연구 와 특히 걷기운동이 노인의 (Park & Han, 2003) 우울 감소에 영향을 보인 연구들 (Son, 2006;Youn, 2005) 이 보고되었으나 노인 당뇨병 환자를 대상으로 걷기운동이 우울증에 효과적이라는 보고는 드물다.…”

Section: 또한 노인 운동 프로그램이 노인의 우울 감소에 효과를unclassified

The Effects of Regular Walking Exercise on Metabolic Syndrome, Cardiovascular Risk Factors, and Depressive Symptoms in the Elderly with Diabetic Mellitus

Sung

Lee

2010

J Korean Acad Community Health Nurs

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Purpose: This study aimed to estimate the effects of a regular walking exercise program on metabolic syndrome, cardiovascular risk factors, and depressive symptoms among the elderly with diabetic mellitus (DM) based on the Theory of Reasoned Action (TRA). Methods: This study has randomized and stratified experimental design with experimental and control groups. We developed a regular walking exercise program suitable for the elderly with DM based on the guidance of AAHPERD. The experimental group participated in the regular walking exercise program, which contains walking exercise 3 times a week and 50 minutes each time for 3 months and education on controlling diet and preventing complications once a week and 20 minutes each time for 4 weeks. Post-test was conducted after 3 months to estimate metabolic syndrome, cardiovascular risk factors, and depressive symptoms. Results: The regular walking exercise program was effective for decreasing the waist size, the level of fasting blood glucose (FBG) and triglyceride (TG), cardiovascular risk factors and the severity of depressive symptoms among the elderly with DM. Conclusion: The incidence of complications would be decreased by applying a regular walking exercise program.

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“…Participants who rarely exercised were more likely to gain weight and have worse health status. Appropriate exercise could meet the requirement of the bio-psycho-social medical model, by facilitating metabolism in older adults, obtaining a sense of happiness, and getting the chance to meet friends who share the same hobby ( 75 , 76 ). Therefore, older adults who do not exercise may need medical services in HCBS more than those who exercise regularly ( 77 ).…”

Section: Discussionmentioning

confidence: 99%

Demand prediction of medical services in home and community-based services for older adults in China using machine learning

Huang

Yang

et al. 2023

Front. Public Health

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BackgroundHome and community-based services are considered an appropriate and crucial caring method for older adults in China. However, the research examining demand for medical services in HCBS through machine learning techniques and national representative data has not yet been carried out. This study aimed to address the absence of a complete and unified demand assessment system for home and community-based services.MethodsThis was a cross-sectional study conducted on 15,312 older adults based on the Chinese Longitudinal Healthy Longevity Survey 2018. Models predicting demand were constructed using five machine-learning methods: Logistic regression, Logistic regression with LASSO regularization, Support Vector Machine, Random Forest, and Extreme Gradient Boosting (XGboost), and based on Andersen's behavioral model of health services use. Methods utilized 60% of older adults to develop the model, 20% of the samples to examine the performance of models, and the remaining 20% of cases to evaluate the robustness of the models. To investigate demand for medical services in HCBS, individual characteristics such as predisposing, enabling, need, and behavior factors constituted four combinations to determine the best model.ResultsRandom Forest and XGboost models produced the best results, in which both models were over 80% at specificity and produced robust results in the validation set. Andersen's behavioral model allowed for combining odds ratio and estimating the contribution of each variable of Random Forest and XGboost models. The three most critical features that affected older adults required medical services in HCBS were self-rated health, exercise, and education.ConclusionAndersen's behavioral model combined with machine learning techniques successfully constructed a model with reasonable predictors to predict older adults who may have a higher demand for medical services in HCBS. Furthermore, the model captured their critical characteristics. This method predicting demands could be valuable for the community and managers in arranging limited primary medical resources to promote healthy aging.

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The Effect of Exercise Program on Health and Depression in the Elderly

Abstract: The exercise designed for the elderly promotes health in the elderly and further evaluation about the effect on exercise and phone counselling is needed.

Cited by 14 publications

References 0 publications

Retracted:Effects of Exercise Program on Physical Fitness, Depression, and Self‐Efficacy of Low‐Income Elderly Women in South Korea

Retracted:Effects of Exercise Program on Physical Fitness, Depression, and Self‐Efficacy of Low‐Income Elderly Women in South Korea

The Effects of Regular Walking Exercise on Metabolic Syndrome, Cardiovascular Risk Factors, and Depressive Symptoms in the Elderly with Diabetic Mellitus

Demand prediction of medical services in home and community-based services for older adults in China using machine learning

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