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      Factors associated with health-related quality of life in Korean older workers

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          Abstract

          Objectives

          The prevalence of aged individuals in the Korean workforce continues to increase. This research determined the health and working conditions of Korean older wage workers and confirmed the effects of factors on the health-related quality of life of Korean older workers.

          Methods

          Of the 25,534 persons surveyed in the fifth Korea National Health and Nutrition Examination Survey, 1368 older (>55 years of age) wage workers without missing variables were selected. Their general characteristics, health status (cardiovascular disease, musculoskeletal disease, and mental health), working conditions (type of occupation, employment status, full- or part-time work, weekly average working hours, and shift work), and health-related quality of life assessed by the EQ-5D questionnaire were examined.

          Results

          The mean values of the EQ-5D index of the male and female older workers were 0.956 ± 0.087 and 0.917 ± 0.124, respectively ( p < 0.001). The factors that caused statistically significant differences in the EQ-5D index for all subjects were age, education, household income, cerebro-cardiovascular event, osteoarthritis, musculoskeletal pain, stress, occupation type, employment status, and working hours. In logistic regression analysis, the factors that associated with perceived problems in each EQ-5D dimensions were age, musculoskeletal pain, stress, diabetes, smoking, occupation type, employment status, and working hours.

          Conclusions

          To eventually raise the quality of life of older workers through health maintenance and management, it is necessary to manage related factors that include of musculoskeletal pain and diseases, stress, diabetes, smoking, occupation, employment status, and working hours.

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          Most cited references35

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          Multiattribute and single-attribute utility functions for the health utilities index mark 3 system.

          The Health Utilities Index Mark 3 (HUI3) is a generic multiattribute preference-based measure of health status and health-related quality of life that is widely used as an outcome measure in clinical studies, in population health surveys, in the estimation of quality-adjusted life years, and in economic evaluations. HUI3 consists of eight attributes (or dimensions) of health status: vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain with 5 or 6 levels per attribute, varying from highly impaired to normal. The objectives are to present a multiattribute utility function and eight single-attribute utility functions for the HUI3 system based on community preferences. Two preference surveys were conducted. One, the modeling survey, collected preference scores for the estimation of the utility functions. The other, the direct survey, provided independent scores to assess the predictive validity of the utility functions. Preference measures included value scores obtained on the Feeling Thermometer and standard gamble utility scores obtained using the Chance Board. A random sample of the general population (> or =16 years of age) in Hamilton, Ontario, Canada. Estimates were obtained for eight single-attribute utility functions and an overall multiattribute utility function. The intraclass correlation coefficient between directly measured utility scores and scores generated by the multiattribute function for 73 health states was 0.88. The HUI3 scoring function has strong theoretical and empirical foundations. It performs well in predicting directly measured scores. The HUI3 system provides a practical way to obtain utility scores based on community preferences.
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            The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the United States.

            A Dembe (2005)
            To analyse the impact of overtime and extended working hours on the risk of occupational injuries and illnesses among a nationally representative sample of working adults from the United States. Responses from 10,793 Americans participating in the National Longitudinal Survey of Youth (NLSY) were used to evaluate workers' job histories, work schedules, and occurrence of occupational injury and illness between 1987 and 2000. A total of 110,236 job records were analysed, encompassing 89,729 person-years of accumulated working time. Aggregated incidence rates in each of five exposure categories were calculated for each NLSY survey period. Multivariate analytical techniques were used to estimate the relative risk of long working hours per day, extended hours per week, long commute times, and overtime schedules on reporting a work related injury or illness, after adjusting for age, gender, occupation, industry, and region. After adjusting for those factors, working in jobs with overtime schedules was associated with a 61% higher injury hazard rate compared to jobs without overtime. Working at least 12 hours per day was associated with a 37% increased hazard rate and working at least 60 hours per week was associated with a 23% increased hazard rate. A strong dose-response effect was observed, with the injury rate (per 100 accumulated worker-years in a particular schedule) increasing in correspondence to the number of hours per day (or per week) in the workers' customary schedule. Results suggest that job schedules with long working hours are not more risky merely because they are concentrated in inherently hazardous industries or occupations, or because people working long hours spend more total time "at risk" for a work injury. Strategies to prevent work injuries should consider changes in scheduling practices, job redesign, and health protection programmes for people working in jobs involving overtime and extended hours.
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              Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index.

              This study aimed to describe the self-reported health status of the general adult U.S. population using 3 multi-attribute preference-based measures: the EQ-5D, Health Utilities Index Mark 2 (HUI2), and Mark 3 (HUI3). We surveyed the general adult U.S. population using a probability sample with oversampling of Hispanics and non-Hispanic blacks. Respondents to this home-visit survey self-completed the EQ-5D and HUI2/3 questionnaires. Overall health index scores of the target population and selected subgroups were estimated and construct validity of these measures was assessed by testing a priori hypotheses. Completed questionnaires were collected from 4048 respondents (response rate: 59.4%). The majority of the respondents were women (52.0%); the mean age of the sample was 45 years, with 14.8% being 65 or older. Index scores (standard errors) for the general adult U.S. population as assessed by the EQ-5D, HUI2, and HUI3 were 0.87 (0.01), 0.86 (0.01), and 0.81 (0.01), respectively. Generally, younger, male and Hispanic or non-Hispanic black adults had higher (better) index scores than older, female and other racial/ethnic adults; index scores were higher with higher educational attainment and household income. The 3 overall preference indices were strongly correlated (Pearson's r: 0.67-0.87), but systematically different, with intraclass correlation coefficients between these indices ranging from 0.59 to 0.77. This study provides U.S. population norms for self-reported health status on the EQ-5D, HUI2, and HUI3. Although these measures appeared to be valid and demonstrated similarities, health status assessed by these measures is not exactly the same.
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                Author and article information

                Contributors
                ku_oem2012@naver.com
                kirelog@paran.com
                yjheo11@naver.com
                sunset1000@naver.com
                impjt@korea.ac.kr
                daisui@naver.com
                Journal
                Ann Occup Environ Med
                Ann Occup Environ Med
                Annals of Occupational and Environmental Medicine
                BioMed Central (London )
                2052-4374
                30 November 2015
                30 November 2015
                2015
                : 27
                : 25
                Affiliations
                Department of Occupational Medicine, Korea University Hosipital, 123, Jeokgeum-ro, Ansan, Gyeonggido Republic of Korea
                Article
                77
                10.1186/s40557-015-0077-9
                4663739
                26623075
                a4e8ba90-7b55-412d-9db7-7b716fdf9875
                © Hong et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 March 2015
                : 29 October 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                older workers,health-related quality of life,eq-5d,knhanes

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