17 research outputs found

    Gender Differences in the Effect of Obesity on Chronic Diseases among the Elderly Koreans

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    The objective of this study is to investigate gender differences of obesity on major chronic diseases in elderly Korean males and females. This study applied a cross sectional design using the 2005 Korean National Health and Nutrition Examination Survey (KNHNES). We selected 508 elderly males and 830 elderly females who were 60 or more years old. Obesity was defined using Body Mass Index (BMI) (≥ 25) or Waist Circumference (WC) (≥ 90 for men and ≥ 85 for women). We applied a surveylogistic regression to determine gender differences in relation to the effect of obesity on eleven major chronic diseases. Using WC, 46.2% of females were obese compared to 34.3% for males. Similarly, using BMI, 42.2% of females were obese compared to 31.7% for males. While obese males and females had similar profiles for developing metabolic syndrome components including hypertension, dyslipidemia, and diabetes (odds ratios [ORs] were 1.8-2.6 for males and 1.7-2.5 for females), obese elderly females had additional risks for arthritis and urinary incontinence (ORs 1.5-1.8 for females) as well as higher prevalence for these diseases. A clearer understanding of gender differences in relation to the association between obesity and chronic diseases would be helpful for reducing the social burden of chronic diseases in the elderly

    A closer look at the increase in suicide rates in South Korea from 1986–2005

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    <p>Abstract</p> <p>Background</p> <p>Suicide rates have recently been decreasing on average among OECD countries, but increasing trends have been detected in South Korea, particularly since the 1997 economic crisis. There have been no detailed analyses about the changes of the suicide rates over time periods in Korea. We examined trends in both absolute and proportional suicide rates over the time period of economic development, crisis, and recovery (1986 – 2005) as well as in birth cohorts from 1924 to 1978.</p> <p>Methods</p> <p>We used data on total mortality and suicide rates from 1986 to 2005 published online by the Korean National Statistical Office (NSO) and extracted data for individuals under 80 years old. The analyses of the trends for 1) the sex-age-specific total mortality rate, 2) the sex-age-specific suicide rate, and 3) the sex-age-specific proportional suicide rate in 1986–2005 were conducted. To demonstrate the birth cohort effect on the proportional suicide rate, the synthetic birth cohort from 1924 to 1978 from the successive cross-sectional data was constructed.</p> <p>Results</p> <p>Age standardized suicide rates in South Korea increased by 98% in men (from 15.3 to 30.3 per 100,000) and by 124% in women (from 5.8 to 13.0 per 100,000). In both genders, the proportional increase in suicide rates was more prominent among the younger group aged under 45, despite the absolute increase being attributed to the older group. There were distinct cohort effects underlying increasing suicide rates particularly among younger age groups.</p> <p>Conclusion</p> <p>Increasing suicide rates in Korea was composed of a greater absolute increase in the older group and a greater proportional increase in the younger group.</p

    Effect change of obesity on diabetes depending on measurement: self-reported body mas index from 2012 Community Health Survey vs. directly measured from the Korea National Health and Nutrition Examination Survey

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    OBJECTIVES: Obesity is a well-recognized risk factor for type 2 diabetes mellitus (DM) among young and middle-aged adults in South Korea. To elaborate on the association between obesity and Diabetes mellitus (DM), subjective data from self-reporting survey or objective data from health examination is generally used. This study was conducted to validate the change of association from using these different measurements. METHODS: Community Health Survey data and Korea National Health and Nutrition Examination Survey data, as subjective and objective data respectively, were used. Population, resident in Seoul and over 45 aged, were selected for the study and the association between obesity and DM were defined by using multivariate logistic regression model. RESULTS: In subjective data, DM prevalence was 12.4% (male, 14.7; female, 10.6) and obesity prevalence was 26.0% (male, 29.2; female, 23.4). Whereas, in objective data, DM prevalence was 15.0% (male, 17.8; female, 12.9), and obese population was 32.4% (male, 34.4; female, 30.8). Based on the effect of obesity on DM prevalence from each data, using objective data increased the impact of obesity. Difference of relative risk of obesity between from subjective data and from objective was bigger in female than male and statistically significant. CONCLUSIONS: The differences of association pattern between subjective and objective data were found, due to higher obesity prevalence in objective data, and discrepancies of socio-economic status. These discrepancies could be inevitable Therefore we have to face them proactively, and understand the different aspect of various variables from different measurement

    Explaining gender differences in ill-health in South Korea: The roles of socio-structural, psychosocial, and behavioral factors

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    This study examines and explains the gender disparity in health despite rapid modernization in South Korea where the social structure is still based on traditional gender relations. A nationally representative sample of 2897 men and 3286 women aged 25-64 from the 2001 Korean National Health and Nutrition Examination Survey was analyzed. Health indicators included self rated health and chronic disease. Age-adjusted prevalence was computed according to a gender and odds ratios (OR) derived from logistic regression. Percentage changes in OR by inclusion of determinant variables (socio-structural, psychosocial, and behavioral) into the base logistic regression model were used to estimate the contributions to the gender gap in two morbidity measures. Results showed a substantial female excess in ill-health in both measures, revealing an increasing disparity in the older age group. Group-specific age-adjusted prevalence of ill-health showed an inverse relationship to socioeconomic position. When adjusting for each determinant, employment status, education, and depression contributed the greatest to the gender gap. After adjusting for all suggested determinants, 78% for self rated health and 86% for chronic disease in excess OR could be explained. After stratifying for age, the full model provided a complete explanation for the female excess in chronic illness, but for self rated health a female excess was still evident for the younger age group. Socio-structural factors played a crucial role in accounting for female excess in ill-health. This result calls for greater attention to gender-based health inequality stemming from socio-structural determinants in South Korea. Cross-cultural validation studies are suggested for further discussion of the link between changing gender relations and the gender health gap in morbidity in diverse settings.Social determinants South Korea Health inequalities Gender differences Modernization Social change

    An Assessment of Magnitudes and Patterns of Socioeconomic Inequalities across Various Health Problems: A Large National Cross-Sectional Survey in Korea

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    Magnitudes of health inequalities present consequences of socioeconomic impact on each health problem. To provide knowledge on the size of health problems in terms of socioeconomic burden, we examined the magnitudes and patterns of health inequalities across 12 health problems. A total of 17,292 participants older than 30 years were drawn from the Korea National Health and Nutrition Examination Survey (KNHANES, 2010–2012). The age-adjusted prevalence ratios were compared across socioeconomic positions (SEPs) based on income, education, and occupation. The magnitudes of socioeconomic inequalities varied across 12 health problems and, in general, the patterns of socioeconomic inequalities were similar among groups of health problems (i.e., non-communicable diseases (NCDs), mental health, and subjective health states). Significant health inequalities across NCDs, such as diabetes, hypertension, ischemic heart disease, and arthritis, were observed mainly in women. Socioeconomic inequalities in mental health problems, such as depression, suicidal ideation, and suicide attempts, were profound for both genders and across SEP measures. Significant socioeconomic inequalities were also observed for subjective health. No or weak associations were observed for injury and HBV infection. The patterns of socioeconomic inequalities were similar among groups of health problems. Mental illnesses appeared to require prioritization of socioeconomic approaches for improvement in terms of absolute prevalence and relative socioeconomic distribution

    Validating the Digital Health Literacy Instrument in Relation to COVID-19 Information (COVID-DHL-K) among South Korean Undergraduates

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    Digital health literacy is crucial in accessing and applying health information in the COVID-19 pandemic period. Young college students are exposed daily to digital technologies, and they have further increased the use of digital information during the COVID-19 period. This study aimed to adapt DHLI into Korean and to assess the psychometric properties, during the COVID-19 pandemic period. A cross-sectional, nationwide, and web-based survey was conducted among 604 Korean undergraduates from 23 December 2020 to 8 January 2021. On the basis of the Digital Health Literacy Instrument (DHLI) by the Global COVID HL Network, the Korean questionnaire was developed by group translation, expert reviews, and forward&ndash;backward translation for validation. The scale reliability and validity were examined using Cronbach&rsquo;s alpha and confirmatory factor analysis. Results support the theoretical and empirical four-factor structure (search, express, evaluate, use) in the coronavirus-related DHL among Korean University students. Internal reliability of the overall scale was high (Cronbach&rsquo;s &alpha; = 0.908). The four-factor model was supported by confirmatory factor analysis (GFI = 0.972, CFI = 0.984, TLI = 0.978, RMSEA = 0.045). This study revealed that the COVID-DHL-K is a valid and reliable measure with appropriate psychometric characteristics

    Prevalence of Amyloidosis in Korea

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    Abstract Background The aim of this study was to assess in amyloidosis prevalence in Korea between 2006 and 2015. Methods Primary diagnoses related to amyloidosis, regardless of subtype, were collected from the Korean National Health Insurance Service from 2006 through 2015. Results Overall, the age-standardized prevalence of amyloidosis was 0.93 (95% confidence interval (CI) 0.81, 1.04) persons per 100,000 persons in 2006 and 1.91 (95% CI 1.78, 2.05) persons per 100,000 persons in 2015. This included an increase from 0.43 (95% CI 0.35, 0.51) to 1.04 (95% CI 0.94, 1.14) persons per 100,000 persons in men and from 0.49 (95% CI 0.40, 0.57) to 0.87 (95% CI 0.77, 0.96) persons per 100,000 persons in women. In particular, the age-standardized prevalence of amyloidosis showed a greater increase in patients aged 65 years or older and in patients aged 45–64 years than in patients aged 20–44 years, for both men and women. Conclusions The overall age-standardized prevalence of amyloidosis was approximately 2 persons per 100,000 persons in 2015. The overall age-standardized prevalence of amyloidosis increased between 2006 and 2015, especially in individuals aged 45–64 and older than 65 years
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