Objectives: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. Methods: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. Results: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. Conclusions: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.
In Korea. the investigation were related of health promotion is actively expanded Since 1990. We analysed the characteristics of the theses for an academic degree. relate to lifestyle of health promotion. have published since 1980. According to age group. analysing causal factors affection the health-promotion and will sugesting for health promotion program strateges. The results were summarized as follows: 1. Health promoting caocept is related to health locus of control. self respect. perceived health status. self ifficacy and gender role. 2. Among health promoting lifestyle. emotional support, self-realizationhygienic lifestyle were significantly positive. and the older. the lesser health-promoting complicnce. 3. Causal factors affecting the health-promoting lifestyle were identified health promoting behaviors wire affected by demographic factors which were gender. age. marrige status. education level. relision. vocation. job satisfaction. economic status and by social support factors which were familiarity. family function personal relationship. gender role. 4. In school age. daily lifestyle behaviors were significantly positive. middle and high schllo age froup were affected by stress. nutrition. social support. self-realization were causal factors explaining health promoting behavior of middle age and old age but. there was problems of exercise behaviors. therefore. the need to develop a health education program for the all age group to improve the health-promoting lifestyle.
Objectives: The purpose of this study is to analyze factors associated with depression among workers in South Korea by socio-economic factors, health behaviors, and working conditions. Methods: Study subjects include 4,251 adults (19 and older) who are currently working using the data from 2009 National Health and Nutrition Survey. Data were analyzed using frequency test, $X^2$ test, and multiple logistic regression. Results: Multiple logistic regression analysis showed that gender (OR=1.91, p<.001), age (OR=1.53, p=.030), marital status (31-39: OR=1.88, p=.029) were significantly related to depressing among socio-economic factors. Next, among health behaviors factors, perceived health status (Poor: OR=1.76, p=.049; Very poor: OR=3.46, p=.002) was statistically significant. Among characteristics of work environment, trust and respect (OR=1.34, p=.049) and working with hidden emotion (OR=1.88, p<.001) were significantly related to depression. Conclusions: In order to manage and reduce depression among workers, it is important to develop appropriate mental health promotion programs both in work places and in regulations.
Objectives: This study was conducted to investigate the effects of personal characteristics and health beliefs on health behaviors of foreign workers living in Korea. Methods: The subjects of this study were foreign workers who understood the purpose of this study and allowed participation in the workplaces in northern Gyeonggi Province. The final subjects were 206, and collected all data were analyzed by SPSS 23.0. Results: The personal characteristics of the subjects were 51.0% for male and 49.0% for female, and the average age was 31.76(±6.96) years old. The mean for each health belief factors was perceived benefits 4.03(±.56), perceived severity 3.75(±.73), perceived susceptibility 3.65(±.64), self-efficacy 3.56(±.83), and perceived barriers 3.34(±.73). The mean of each health behavior factors was non-smoking 4.02(±.83), drinking 3.92(±.80), health responsibility 3.42(±.83), exercise 3.37(±1.01), dietary habits 1.91(±.11), and stress management 1.72(±.27). The correlation between sub-factors of health belief was all at the level of p <0.01. The sub-factors of health belief were health behavior and perceived susceptibility(r=.773, p<0.01), followed by self-efficacy(r=.760, p<0.01), and perceived severity(r=.574, p<0.01). The factors affecting health behavior were self-efficacy(β=.540, p<.001), perceived susceptibility(β=.461, p<.001), perceived benefits(β=.152, p<.05), marriage status(β=-. 100, p <.05), and income(β=-. 120, p <.05) in order. Conclusion: In-depth consideration of factors that can affect the physical, psychological and social health of foreign workers, and various program development and intervention strategies based on these factors should be sought.
Purpose: The purpose of this paper was to investigate community health status and related factors using community health and social indicators. Method: Data sources were reviewed and data for 10 categories, 75 indicators were collected. Community health status and health-related factors were categorized, and the means and standard deviation of individual indicators were obtained and standardized scores were calculated. In addition, through factor analysis of individual indicators by category using the scores and using the resultant factor coefficients as weights, indexes were calculated by area. Correlation and regression were analyzed. Result: Each indicator was highly correlated with each index, and the indexes were highly correlated with one another. Correlation coefficients were above 0.8 between community health index and population, education, housing, and economy, between population and education, housing and economy, between education and housing and economy, and between housing and economy, environment and industry. But multicollinearity was not found in the result. Significant factors on community health index were population, health personnel and facilities, education, housing and economy, and R-square were 92.4%. Conclusion: Health determinants such as population, health personnel and facilities, education, housing and economy could be influencing factors on community health in community level. These results showed the importance of intersectoral collaboration within a local government. Overall community health can be enhanced by intersectoral collaboration.
The aim of this study is to find out the correlations between heaith behaviours of young people and the relationships with social factors, which can be helpful for the development of health promotion programmes for youths. The main socializing arenas influencing children's development of health and health behaviour are school, peers and parents. In this study, the selected social factors are based on these arenas. And the following seven health-related behaviours were selected: smoking, drinking alcohol, drinking coffee, irregularity of taking main meals, regular exercise, brushing teeth, and use of medicine for nourishment or restoratives. These health behaviours categorized into two groups; health- promotiong and health-damaging behaviours. The results were summarized as follows; Significant positive correlations were found between health damaging behaviours-drinking alcohol, coffee, smoking, irregularity of main meals, drinking alcohol. But, No consistently significant correlations were revealed among health promoting behaviours and between health promoting and health damaging behaviours. If total group were devided into four groups by gender and grade, these correlations were a little weak. Although such division, the correlations among health damaging behaviours were still significant. The result is also found that health behavious and various social factors were strongly correlated. Particulary, health damaging behaviours showed a consistent correlation with social factors. This consiatensy was simillar to the figure of other contries in Europe. In conclusion, a more comprehensive explanation on health behaviour bacame possible if the analysis on the correlations were made by dividing health behavious into "health-promotion" and "health- damaging". And the health promotion programmes can be more effective when they focus on the correlation of health behavious and inter-relationships between health behavious and various social factors, rahter than focus on individual behavious.
Purpose: This study attempted to identify regional disparities of self-rated health among Korean wage workers and to investigate the influencing factors on them. Methods: The study subjects were 25,069 workers in 16 regions who were extracted from the 2014 Korean Working Condition Survey (KWCS). A multilevel analysis was conducted by building hierarchical data at individual and regional level. Results: In this study, 'financial autonomy rate' and 'current smoking rate' were identified as regional factors influencing the workers' self-rated health. When the socio-demographic and occupational factors of the workers were controlled, 'current smoking rate', a health policy factor, explained the regional disparity of workers' health status. Conclusion: We found that the health status of workers can be affected by the health behavior level of the whole population in their residential area. In order to improve the health status of working population and to alleviate their regional health inequalities, it is necessary to strengthen macro and structural level interventions.
Objectives: The purpose of this study was to investigate the general characteristics, oral health risk factors, and denture management behaviors of the elderly and improve their oral health and life satisfaction. Methods: This study was conducted on 386 individuals from elderly welfare facilities in Gyeonggi-do selected by convenience sampling. Results: The female participants were more satisfied with their family relationship than the male participants. Among the risk factors for oral health, life satisfaction was higher among the participants who had no psychological inconvenience and bad breath symptoms. Among the factors for denture management behavior, the participants who did not receive dental checkups regularly expressed greater life satisfaction than those who had not received denture care education. Conclusions: The practical and theoretical implications for elderly welfare programs and oral health management education for denture-wearing elderly were discussed.
Objectives: The contribution of health behavior is high in the mortality variation. Mortality variation can be decreased through the policies and programs for improving health behavior. We investigated that health behaviors effected with standardized mortality in community. Methods: We examined the distribution of health determinant factors and correlation analyzed between factors and performed multiple linear regression. Data were collected from 2012 Community Health Survey in 253 communities, annual regional statistics, and statistics from Statistics Korea. Results: This study defined that the variation of standardized mortality and there are exist inequality level of health determinant factors in 253 communities. This study showed that the higher standardized mortality explained through health behavior factors of the current smoking rate, walking exercise rate and diagnosis of hypertension or diabetes rate after adjusted other factors(adjusted $R^2=0.709$, p<0.001). Conclusions: Smoking, walking exercise and diagnosis chronic disease affecting on the regional variation of standardized mortality. These factors can be improved by the local residents themselves.
Objectives : Research on the gender differences of health among older Korean people has been limited compared with the research for other stages of life. This study first examined the patterns and magnitude of the gender differences of health in later life. Second, we examined the gender differences in the health of older men and women that were attributable to differing socioeconomic conditions. Methods : Using the nationally representative 2005 Korean National Health and Nutrition Examination Survey, the gender differences in disability and subjective poor health were assessed by calculating the age adjusted and gender-specific prevalence. Logistic regression analyses were used to assess if the differences between the men and women for health could be explained by differential exposure to socioeconomic factors and/or the differential vulnerability of men and women to these socioeconomic factors. Results : Our results indicated that older women were more likely than the men to report disability and poor subjective health. The health disadvantage of older women was diminished by differential experiences with socioeconomic factors, and especially education. The differences shrink as much as 43.7% in the case of disability and 35.4% in the case of poor subjective health by the differential exposure to educational attainment. Any differential vulnerability to socioeconomic factors was not found between the men and women, which means that socioeconomic factors may have similar effect on health in both genders. Conclusions : Differential socioeconomic experience and exposure between the men and women might cause gender difference in health in old age Koreans.
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