Journal of Preventive Medicine and Public Health

Original Articles

Longitudinal Effects of Life Satisfaction on Smoking Status of Korean Adult Men: Baksun Sung; J Prev Med Public Health. 2025;58(4):388-395. Published online April 21, 2025; DOI: https://doi.org/10.3961/jpmph.24.664

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Abstract Summary PDF: Objectives
The prevalence of smoking among adult men remains high in Korea. Additionally, life satisfaction can influence health behaviors. Therefore, the objective of this study was to examine the longitudinal effects of life satisfaction on smoking status among Korean adult men.
Methods
This study utilized panel data from wave 1 (2005) to wave 12 (2016) of the Korea Welfare Panel Study. Life satisfaction was measured using 8 variables, representing satisfaction with leisure, social relations, family relations, health, job, family income, residential environment, and overall life. A Cox proportional hazards model was employed to assess the causal relationship between life satisfaction and smoking status.
Results
Over the 11-year follow-up period, improved leisure satisfaction was associated with a decreased hazard of smoking (hazard ratio [HR], 0.83; p<0.01). In contrast, greater satisfaction with social relations was linked to an increased hazard (HR, 1.23; p<0.05). Improved satisfaction with family relations was associated with a decreased hazard of smoking (HR, 0.84; p<0.05).
Conclusions
Certain life satisfaction variables appear to influence the incidence of smoking among Korean adult men.; Summary

Korean summary
본 연구는 한국복지패널(2005년-2016년)을 이용해서 20세 ~ 64세 한국 성인 남성들의 삶의 만족도가 흡연여부에 미치는 종단적 효과를 분석하였다. 11년 동안 추적조사 한 결과, 다양한 삶의 만족도 변수들에 따라 흡연위험이 다르다는 것이 확인되었다. 구체적으로, 여가생활 만족도 또는 가족관계 만족도가 개선되면 흡연위험이 감소하였다. 대조적으로, 사회관계 만족도가 개선되면 흡연위험이 증가하였다. 이러한 인과관계들은 한국의 사회문화적 요소들과 얽혀 있는 것으로 추정된다.

Key Message
This longitudinal study's results demonstrated that over the 11-year follow-up period (2005-2016), the risk of smoking varied between different types of life satisfaction among Korean adult men (aged 20-64 years). Specifically, the risk of smoking decreased as satisfaction with leisure or family relations improved. In contrast, the risk of smoking increased as social relations satisfaction improved. Socio-cultural factors appear intertwined with these causal relationships.

Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea: Suyeong Bae, Mi Jung Lee, Ickpyo Hong; J Prev Med Public Health. 2025;58(2):127-135. Published online October 23, 2024; DOI: https://doi.org/10.3961/jpmph.24.324

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1 Web of Science
2 Crossref

Objectives
This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone.
Methods
Data were extracted from 3112 older adults participating in the 2020 Korea Senior Survey. We employed 5 ML models to classify the life satisfaction of older adults living alone: logistic Lasso regression, decision tree-based classification and regression tree (CART), C5.0, random forest, and extreme gradient boost (XGBoost). The variables used as predictors included demographics, health status, functional abilities, environmental factors, and activity participation. The performance of these ML models was evaluated based on accuracy, precision, recall, F1-score, and area under the curve (AUC). Additionally, we assessed the significance of variable importance as indicated by the final classification models.
Results
Out of the 1411 older adults living alone, 45.3% expressed satisfaction with their lives. The XGBoost model surpassed the performance of other models, achieving an F1-score of 0.72 and an AUC of 0.75. According to the XGBoost model, the five most important variables influencing life satisfaction were overall community satisfaction, self-rated health, opportunities to interact with neighbors, proximity to a child, and satisfaction with residence.
Conclusions
Overall satisfaction with the community environment emerged as the most significant predictor of life satisfaction among older adults living alone. These findings indicate that enhancing the supportiveness of the community environment could improve life satisfaction for this demographic.

Summary

Korean summary
본 연구는 2020년 노인실태조사에 참여한 3,112명의 독거노인 데이터를 활용하여 이들의 삶의 만족도를 분류하는 머신러닝 모델을 개발하였다. 아울러, 해당 모델을 통해 독거노인의 삶의 만족도 분류에 영향을 미치는 주요 변수를 도출하였다. 본 연구는 독거노인의 삶의 만족도 향상을 위해 고려해야 할 핵심 요인들을 제시한다는 점에서 의의가 있다.

Key Message
This study developed a machine learning model to classify life satisfaction among 3,112 older adults living alone, based on data from the 2020 Korea Senior Survey. Furthermore, the study identified key variables that contribute to the classification of life satisfaction in this population. These findings provide insights into important factors that should be considered to enhance the life satisfaction of older adults living alone.

Citations

Citations to this article as recorded by

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Thi Thanh Lan Nguyen, Van Cuong Nguyen
Archives of Psychiatric Nursing.2025; 57: 151928. CrossRef
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Special Article

Commitment to Sport and Exercise: Re-examining the Literature for a Practical and Parsimonious Model: Lavon Williams; J Prev Med Public Health. 2013;46(Suppl 1):S35-S42. Published online January 30, 2013; DOI: https://doi.org/10.3961/jpmph.2013.46.S.S35

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24 Crossref

Abstract PDF

A commitment to physical activity is necessary for personal health, and is a primary goal of physical activity practitioners. Effective practitioners rely on theory and research as a guide to best practices. Thus, sound theory, which is both practical and parsimonious, is a key to effective practice. The purpose of this paper is to review the literature in search of such a theory - one that applies to and explains commitment to physical activity in the form of sport and exercise for youths and adults. The Sport Commitment Model has been commonly used to study commitment to sport and has more recently been applied to the exercise context. In this paper, research using the Sport Commitment Model is reviewed relative to its utility in both the sport and exercise contexts. Through this process, the relevance of the Investment Model for study of physical activity commitment emerged, and a more parsimonious framework for studying of commitment to physical activity is suggested. Lastly, links between the models of commitment and individuals' participation motives in physical activity are suggested and practical implications forwarded.

Summary

Citations

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Original Article

Development and Evaluation of the Reliability and Validity of the VSSS-82 Korean Version for Measuring Satisfaction with Community-based Mental Health Services in Psychiatric Patients.: Weon Seob Yoo, Young Jeon Shin, Ok Ryun Moon, Jung Hyun Nam; Korean J Prev Med. 2001;34(3):211-218.

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Abstract PDF: OBJECTIVES
To develop a Korean version of VSSS-82 for measuring the multi-dimensional satisfaction with community-based mental health services in psychiatric patients and to investigate both the reliability and validity of the Korean version. METHODS: The VSSS-82 English version was translated and back-translated with some modification. Data from 68 psychosis patients using community-based mental health services in three Community Mental Health Centers (CMHCs) was collected through a personal interview survey regarding the satisfaction and suitability of service. Variability of satisfaction and internal consistency, discriminant validity, and concurrent validity of the VSSS-82 Korean version were evaluated. RESULTS: A higher number of dissatisfied subjects and significant pairwise differences for the dimensions were found. The Crohnbach's alpha coefficient, a measure of internal consistency, ranged from 0.56 (overall satisfaction) to 0.90 (skills and behavior) and significant differences in satisfaction was found in patients by the self-rated suitability of service. CONCLUSIONS: The VSSS-82 Korean version is a reliable and valid instrument for measuring multi-dimensional satisfaction with community-based mental health service.; Summary

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