• Journal of Preventive Medicine and Public Health
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• v.38 no.2
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• pp.197-202
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• 2005

Objectives: During the spring of 2002, an unprecedented 2 Asian dust events were experienced in Seoul. On those days, the $PM_{10}$ was surprisingly increased, with daily $PM_{10}$ averages exceeding $600\;and\;700{\mu}g/m^3$ on March 21 and April 8, respectively. Accordingly, public concern relating to the possible adverse health effects of these dust events has increased, as the dust arrives in Korea after having flown over heavily industrialized eastern China. We investigated the effects of these Asian dust events on the mortality during the spring of 2002, in Seoul, Korea. Methods: The total number of deaths per day during the spring of 2002 in Seoul was extracted form the mortality records of the National Statistical Office. We constructed 14 Asian dust days (March 17-March 23, April 7-April 13) and 42 control days during the 56 day study period (March 3-April 27) with respect to the days of the week. The daily average numbers of deaths between the Asian dust and control days were analyzed, with adjustment for meteorological variables and pollutants. Results: The daily PM10 average during the Asian dust weeks was $295.2{\mu}g/m^3$, which was significantly higher than during the control days (p<0.001). The daily average number of deaths from all causes during the Asian dust days was 109.9; 65.6 for those aged 65 years and older, 6.7 from respiratory causes (J00-J99) and 25.6 from cardiovascular causes (I00-I99). The estimated percentage increases in the rate of deaths were 2.5% (95% CI=-5.0-10.6) from all causes; 2.2% (95% CI=-7.4-12.8) for those aged 65 years and older, and 36.5% (95% CI=0.7-85.0) from respiratory causes, but with a 6.1% (95% CI=-19.7-9.7) decrease in deaths from cardiovascular causes. Conclusion: The Asian dust events were found to be weakly associated with the risk of death from all causes. However, the association between dust events and deaths from respiratory causes was stronger. This suggests that persons with advanced respiratory diseases may be susceptible to Asian dust events.

• 대한예방의학회:학술대회논문집
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• 1998.10b
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• pp.196-197
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• 1998

• Atmosphere
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• v.17 no.1
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• pp.45-53
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• 2007

In order to investigate the impacts of heat wave on human health, cluster analysis of meteorological elements (e.g., temperature, dewpoint, sea level pressure, visibility, cloud amount, and wind components) for identifying offensive synoptic air masses is employed. Meteorological data at Seoul during the past 30 years are used. The daily death data at Seoul are also employed. Occurrence frequency of heat waves which is defined by daily maximum temperature greater than the threshold temperature (i.e., $31.2^{\circ}C$) was analyzed. The result shows that the frequency and duration of heat waves at Seoul are increasing during the past 30 years. In addition, the increasing trend of the frequency and duration clearly appears in late spring and early autumn as well as summer. Factor analysis shows that 65.1% of the total variance can be explained by 4 components which are linearly independent. Eight clusters (or synoptic air masses) were classified and found to be optimal for representing the summertime air masses at Seoul, Korea. The results exhibit that cluster-mean values of meteorological variables of an offensive air mass (or cluster) are closely correlated with the observed and standardized deaths.

• Korean Journal of Adult Nursing
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• v.29 no.1
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• pp.98-107
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• 2017

Purpose: The purpose of this study was to investigate the effect of geriatric syndrome on mortality among community-dwelling older adults in Korea. Methods: Data were obtained from the Actual Living Condition of the Elderly and Welfare Need Survey, with a baseline study in 2008 and a 3-year follow-up of mortality data. The mortality risk was measured using the hierarchical Cox proportional hazard model. Results: In Cox regression analysis, male (Hazard Ratio [HR], 2.53; 95% Confidence Interval [CI], 2.12~3.01), old age (HR, 2.14; 95% CI, 1.82~2.53), low education level (HR, 1.31; 95% CI, 1.04~1.65), limitation in instrumental activities of daily living (HR, 1.91; 95% CI, 1.60~2.28), depressive symptoms (HR, 1.21; 95% CI, 1.01~1.43), and frailty (HR, 2.32; 95% CI, 1.78~3.03) significantly affected mortality risk. Conclusion: Based on the results of this study, nursing intervention programs should be provided to decrease preventable death in older adults.

• 대한예방의학회:학술대회논문집
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• 2001.10a
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• pp.318-319
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• 2001

• Tuberculosis and Respiratory Diseases
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• v.85 no.4
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• pp.349-357
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• 2022

Background: The most consistently identified mortality determinants for the new coronavirus 2019 (COVID-19) infection are aging, male sex, cardiovascular/respiratory diseases, and cancer. They were determined from heterogeneous cohorts that included patients with different disease severity and previous conditions. The main goal of this study was to determine if activities of daily living (ADL) dependence measured by Barthel's index could be a predictor for COVID-19 mortality. Methods: A prospective cohort study was performed with a consecutive sample of 340 COVID-19 patients representing patients from all over the northern region of Portugal from October 2020 to March 2021. Mortality risk factors were determined after controlling for demographics, ADL dependence, admission time, comorbidities, clinical manifestations, and delay-time for diagnosis. Central tendency measures were used to analyze continuous variables and absolute numbers (proportions) for categorical variables. For univariable analysis, we used t test, chi-square test, or Fisher exact test as appropriate (α=0.05). Multivariable analysis was performed using logistic regression. IBM SPSS version 27 statistical software was used for data analysis. Results: The cohort included 340 patients (55.3% females) with a mean age of 80.6±11.0 years. The mortality rate was 19.7%. Univariate analysis revealed that aging, ADL dependence, pneumonia, and dementia were associated with mortality and that dyslipidemia and obesity were associated with survival. In multivariable analysis, dyslipidemia (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.17-0.71) was independently associated with survival. Age ≥86 years (pooled OR, 2.239; 95% CI, 1.100-4.559), pneumonia (pooled OR, 3.00; 95% CI, 1.362-6.606), and ADL dependence (pooled OR, 6.296; 95% CI, 1.795-22.088) were significantly related to mortality (receiver operating characteristic area under the curve, 82.1%; p<0.001). Conclusion: ADL dependence, aging, and pneumonia are three main predictors for COVID-19 mortality in an elderly population.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.15 no.2
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• pp.44-49
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• 2009

Purpose : The purpose of this study was to evaluate the incidence and mortality for hip fracture in the elderly in Jeju-do. Methods : We enrolled 254 cases among 318 patients older than 50 years of age with a hip fracture during two years period(2003-2004). We investigated the incidence and mortality during follow up 3~4 years period until December 31, 2007. Results : The crude incidences of hip fracture the age group ${\geq}50$ years were 141(11.2/10,000) in 2003, 177(13.6/10,000) in 2004, and 249(17.0/10,000), 69(6.3/10,000) for women and men, respectively. The mean age of them was 78.3 years, male was 69(21.7%), female was 249(78.3%) among 318 patients. Survivor was in the 146(57.5%), death was in the 108(42.5%) among 254 cases period for follow up. In the death group, activity was significantly lower at the time of post-fracture 3(p=0.013), 6(p=0.000), and 12 months(p=0.000). The mortality of hip fracture and crude death rate(CDR) were 108(42.5%, n=254), 11,884(1.7%, n=675,889) in 2003~2007 in Jeju. Conclusion : Developing and applying a variety of activity programs that increase activity in post-fracture may improve activities of daily living, reduce burden of family and society, be useful in improving the quality of life and ultimately lower the mortality.

• Journal of Environmental Health Sciences
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• v.39 no.1
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• pp.19-31
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• 2013

Objectives: Elevated temperatures during summer months have been reported since the early 20th century to be associated with increased daily mortality. However, future death impacts of high temperatures resulting from climate change could be variously estimated in consideration of the future changes in historical temperature-mortality relationships, mortality, and population. This study examined the future death burden of high temperatures resulting from climate change in Seoul over the period of 2001-2040. Methods: We calculated yearly death burden attributable to high temperatures stemming from climate change in Seoul from 2001-2040. These future death burdens from high temperature were computed by multiplying relative risk, temperature, mortality, and population at any future point. To incorporate adaptation, we assumed future changes in temperature-mortality relationships (i.e. threshold temperatures and slopes), which were estimated as short-term temperature effects using a Poisson regression model. Results: The results show that climate change will lead to a substantial increase in summer high temperature-related death burden in the future, even considering adaptation by the population group. The yearly death burden attributable to elevated temperatures ranged from approximately 0.7 deaths per 100,000 people in 2001-2010 to about 1.5 deaths per 100,000 people in Seoul in 2036-2040. Conclusions: This study suggests that adaptation strategies and communication regarding future health risks stemming from climate change are necessary for the public and for the political leadership of South Korea.

• Journal of Preventive Medicine and Public Health
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• v.56 no.6
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• pp.515-522
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• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.

• Journal of Preventive Medicine and Public Health
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• v.39 no.2
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• pp.115-122
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• 2006

Objectives : This study was conducted to examine the relationships of the several socioeconomic position indicators with the mortality risk in a representative longitudinal study of South Korea. Methods : The 1998 National Health and Nutrition Examination Survey was conducted on a cross-sectional probability sample of South Korean households, and it contained unique 13-digit personal identification numbers that were linked to the data on mortality from the National Statistical Office of Korea. Of 5,607 males and females, 264 died between 1999 and 2003. Cox's regression was used to estimate the relative risks (RR) and their 95% confidence intervals (CI) of mortality. Results: Socioeconomic differences in mortality were observed after adjustments were made for gender and age. Compared with those people having college or higher education, those people without any formal education had a greater mortality risk (RR=2.21, 95% CI=1.12-4.40). The mortality risk among manual workers was significantly greater than that for the non-manual workers (RR=2.73, 95% CI=1.47-5.06). A non-standard employment status was also associated with an increase in mortality: temporary or daily workers had a greater mortality risk than did the full-time workers (RR=3.01, 95% CI=1.50-6.03). The mortality risk for the low occupational class was 3.06 times greater than that of the high and middle occupational classes (95% CI=1.75-5.36). In addition, graded mortality differences according to equivalized monthly household income were found. A reduction of monthly household income by 500 thousand Korean Won (about 400 US dollars) was related with a 20% excess risk of mortality. Self-reported poor living standards were also associated with an increased risk of mortality. Those without health insurance had a 3.63 times greater risk of mortality than the insured (95% CI=1.61-8.19). Conclusions: This study showed the socioeconomic differentials in mortality in a national longitudinal study of South Korea. The existence of socioeconomic mortality inequalities requires increased social discussion on social policies in Korean society. Furthermore, the mechanisms for the socioeconomic inequalities of mortality need to be explored in future studies.