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Background@#To precisely build a healthcare delivery system at regional levels, local patients’ healthcare service utilization patterns must be examined. Hence, this study utilized trend analysis of the relevance index of each disease of each essential medical service field at the municipal and provincial levels. @*Methods@#This study analyzed customized databases released by the National Health Insurance Service from 2016–2020. Diseases defined in the Korean National Burden of Disease (KNBD) study were categorized into the following essential medical service fields:trauma care, cardiocerebrovascular, maternal and neonatal, mental health, infection, cancer, older adults’ care and rehabilitation, and others. Relevance index, the percentage of medical service utilization in a region by the residents of that region relative to their total medical service utilization, was examined by region (17 municipal and provincial regions) and disease area. The relevance index was determined based on the number of patients and the total outof-pocket expenses.Result: Eight of the 17 regions showed over a 90.0% relevance index in the infection area. In the cancer area, 14 regions (not including Seoul, Daegu, and Busan) had a relevance index lower than 75.0%. Throughout the analysis period (2016–2020), there were no significant variations in the relevance index. Diseases such as bone and connective tissue cancer (39.0%), neural tube defects (16.7%), and autism (57.1%) had low relevance index in the essential medical service fields. In all 17 regions, the relevance index of inpatients was lower than that of outpatients, and that for out-of-pocket expenses was lower than that based on the number of patients. @*Conclusion@#The relevance index of major diseases of each essential medical service field calculated in this study can provide good indicators for monitoring the level of an independent regional healthcare delivery system.
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Purpose@#This study aimed to elucidate the trends and characteristics of the cancer burden in Korea by cancer site, region, and income level. @*Materials and Methods@#Korean National Burden of Disease research methodology was applied to measure the cancer burden in Korea from 2008 to 2018. The cause of death and national health insurance claims data were obtained from Statistics Korea and the National Health Insurance Service, respectively. An incidence-based approach was applied to calculate the disability-adjusted life-years, which is a summary measure of population health. @*Results@#In the past decade, the cancer burden in Korea increased from 2,088 to 2,457 person-years per 100,000 population. Among the cancer burden, the years of life lost decreased, and the years lived with disabilities increased. Cancers of the trachea, bronchus, and lung had the highest disease burden, followed by those of the stomach, colon and rectum, liver, and breast. @*Conclusion@#The findings of this study can provide valuable quantitative data for prioritizing and evaluating cancer prevention strategies and implementing cancer policies. Estimating the difference in cancer burden according to region and income level within a country can yield useful data to understand the nature of the cancer burden and scale of the problem. In addition, the results of this study provide a better understanding of the causes of cancer patterns, thereby generating new hypotheses regarding its pathogenesis.
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Objectives@#Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics. @*Methods@#The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively. @*Results@#The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights. @*Conclusions@#This method can be employed in other countries to obtain timely disability weight estimations.
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An index that evaluates the health level of a population group considering both death and loss of function due to disease is called a summary measure of population health (SMPH). SMPHs are broadly divided into life year indices and life expectancy indices, the latter of which comprise healthy life expectancy (HLE). HLE is included as a policy target in various national and regional level healthcare plans, and the term “HLE” is commonly used in academia and by the public. However, the overall level of understanding of HLE—such as the precise definition of HLE and methods of calculating HLE—still seems to be low. As discussed in this study, the types of HLE are classified into disability-free life expectancy, disease-free life expectancy, quality-adjusted life expectancy, self-rated HLE, and disability-adjusted life expectancy. Their characteristics are examined to facilitate a correct understanding and appropriate utilization of HLE. In addition, the Sullivan method, as a representative method for calculating HLE, is presented in detail, and major issues in the process of calculating HLE, such as selection of the population group and age group, estimation of death probability, calculation of life years, and incorporation of health weights, are reviewed. This study will help researchers to select an appropriate HLE type and evaluate the validity of HLE research results, and it is expected to contribute to the vitalization of HLE research.
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Disability-adjusted life-year (DALY) estimates may vary according to factors such as the standard life expectancy, age weighting, time preference and discount rate, calculation of disability weights, and selection of the estimation method. DALY estimation methods are divided into the following 3 approaches: the incidence-based approach, the pure prevalence-based approach, and the hybrid approach. These 3 DALY estimation approaches each reflect different perspectives on the burden of disease using unique characteristics, based on which the selection of a suitable approach may vary by the purpose of the study. The Global Burden of Disease studies, which previously estimated DALYs using the incidence-based approach, switched to using the hybrid approach in 2010, while the National Burden of Disease studies in Korea still mainly apply the incidence-based approach. In order to increase comparability with other international burden of disease studies, more DALY studies using the prevalence-based approach need to be conducted in Korea. However, with the limitations of the hybrid approach in mind, it is necessary to conduct more research using a disease classification system suitable for Korea. Furthermore, more detailed and valid data sources should be established before conducting studies using a broader variety of DALY estimation approaches. This review study will help researchers on burden of disease use an appropriate DALY estimation approach and will contribute to enhancing researchers’ ability to critically interpret burden of disease studies.
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Background@#This study aimed to examine the relationship between alcohol consumption and metabolic syndrome in Korean women as determined by facial flushing. @*Methods@#Of the female patients aged 4 standard drinks: OR, 4.16; 95% CI, 2.03–8.30) of the facial flushing group. The risk of metabolic syndrome was significantly high only in the subgroup of weekly alcohol consumption >4 standard drinks (OR, 2.20; 95% CI, 1.07–4.52) in the non-facial flushing group. @*Conclusion@#This study suggests that Korean women experiencing facial flushing when drinking have a higher risk of developing metabolic syndrome even with a low weekly drinking amount than those who do not experience face flushing.
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The study aims to examine the current status and differences in the burden of disease in Korea during 2008-2018. We calculated the burden of disease for Koreans from 2008 to 2018 using an incidence-based approach. Disability adjusted life years (DALYs) were expressed in units per 100 000 population by adding years of life lost (YLLs) and years lived with disability (YLDs). DALY calculation results were presented by gender, age group, disease, region, and income level. To explore differences in DALYs by region and income level, we used administrative district and insurance premium information from the National Health Insurance Service claims data. The burden of disease among Koreans showed an increasing trend from 2008 to 2018. By 2017, the burden of disease among men was higher than that among women. Diabetes mellitus, low back pain, and chronic lower respiratory disease were ranked high in the burden of disease; the sum of DALY rates for these diseases accounted for 18.4% of the total burden of disease among Koreans in 2018. The top leading causes associated with a high burden of disease differed slightly according to gender, age group, and income level. In this study, we measured the health status of Koreans and differences in the population health level according to gender, age group, region, and income level. This data can be used as an indicator of health equity, and the results derived from this study can be used to guide community-centered (or customized) health promotion policies and projects, and for setting national health policy goals.
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Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.
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Background@#This study aimed to examine the disease burden of North Korean defectors in South Korea by sex, age, and disease from 2000 to 2018 and to study the changes in the disease burden over time. @*Methods@#Based on the incidence-based disability-adjusted life year (DALY) developed in a Korean National Burden of Disease (KNBD) study, we calculated the years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life years (DALY) for approximately 22,753 North Korean defectors in South Korea whose claims data were available from the National Health Insurance Service (NHIS). @*Results@#In 2018, the rates of YLL, YLD, and DALY for North Korean defectors per 100,000 population was 3,763 (male 8,491; female 2,404), 37,683 (male 27,742; female 40,539), and 41,446 (male 36,233; female 42,943), respectively. Major depressive disorders constituted the highest DALY, followed by cirrhosis of the liver and low back pain. The disease burden of North Korean defectors consistently decreased from 2010 to 2018. The decrease in YLD contributed to the overall decline in DALY per 100,000 population in 2018, which decreased by 25.2% compared to that in 2010. @*Conclusion@#This is the first study to measure the disease burden of North Korean defectors in South Korea. Given the decreasing or substantially increasing trends in disease burden, it is necessary to establish appropriate public health policies in a timely manner, and the results of this study provide a basis for the development of customized public health and healthcare policies for North Korean defectors in South Korea.
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The study aims to examine the current status and differences in the burden of disease in Korea during 2008-2018. We calculated the burden of disease for Koreans from 2008 to 2018 using an incidence-based approach. Disability adjusted life years (DALYs) were expressed in units per 100 000 population by adding years of life lost (YLLs) and years lived with disability (YLDs). DALY calculation results were presented by gender, age group, disease, region, and income level. To explore differences in DALYs by region and income level, we used administrative district and insurance premium information from the National Health Insurance Service claims data. The burden of disease among Koreans showed an increasing trend from 2008 to 2018. By 2017, the burden of disease among men was higher than that among women. Diabetes mellitus, low back pain, and chronic lower respiratory disease were ranked high in the burden of disease; the sum of DALY rates for these diseases accounted for 18.4% of the total burden of disease among Koreans in 2018. The top leading causes associated with a high burden of disease differed slightly according to gender, age group, and income level. In this study, we measured the health status of Koreans and differences in the population health level according to gender, age group, region, and income level. This data can be used as an indicator of health equity, and the results derived from this study can be used to guide community-centered (or customized) health promotion policies and projects, and for setting national health policy goals.
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Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.
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Background@#This study aimed to examine the disease burden of North Korean defectors in South Korea by sex, age, and disease from 2000 to 2018 and to study the changes in the disease burden over time. @*Methods@#Based on the incidence-based disability-adjusted life year (DALY) developed in a Korean National Burden of Disease (KNBD) study, we calculated the years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life years (DALY) for approximately 22,753 North Korean defectors in South Korea whose claims data were available from the National Health Insurance Service (NHIS). @*Results@#In 2018, the rates of YLL, YLD, and DALY for North Korean defectors per 100,000 population was 3,763 (male 8,491; female 2,404), 37,683 (male 27,742; female 40,539), and 41,446 (male 36,233; female 42,943), respectively. Major depressive disorders constituted the highest DALY, followed by cirrhosis of the liver and low back pain. The disease burden of North Korean defectors consistently decreased from 2010 to 2018. The decrease in YLD contributed to the overall decline in DALY per 100,000 population in 2018, which decreased by 25.2% compared to that in 2010. @*Conclusion@#This is the first study to measure the disease burden of North Korean defectors in South Korea. Given the decreasing or substantially increasing trends in disease burden, it is necessary to establish appropriate public health policies in a timely manner, and the results of this study provide a basis for the development of customized public health and healthcare policies for North Korean defectors in South Korea.
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Background@#This study aimed to examine the relationship between alcohol consumption and metabolic syndrome in Korean women as determined by facial flushing. @*Methods@#Of the female patients aged 4 standard drinks: OR, 4.16; 95% CI, 2.03–8.30) of the facial flushing group. The risk of metabolic syndrome was significantly high only in the subgroup of weekly alcohol consumption >4 standard drinks (OR, 2.20; 95% CI, 1.07–4.52) in the non-facial flushing group. @*Conclusion@#This study suggests that Korean women experiencing facial flushing when drinking have a higher risk of developing metabolic syndrome even with a low weekly drinking amount than those who do not experience face flushing.
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Entering the fourth industrial revolution era, health technology is rapidly developing and the people's needs for medical services are gradually increasing. Establishing a life cycle management of health technology has emerged as a new policy agenda to cope with these changes. However, the management of health technology have been conducted without continuity and with several problems pointed out. Therefore, we suggest the reform agendas by stages to establish system for a life cycle management of health technology in the fourth industrial revolution era as follows. In the stage of development, it is important not only to provide research funding, but also consulting by professional about whole cycle of health technologies. In the phase of market entry, there are needs for enhance the system that would expand the early adoption for innovative technology and increase its effectiveness. After the spread of health technology to clinical settings, a reassessment and post management system should be established that have an institutional framework with strong price adjustment and exit mechanism. Furthermore, we hope that discussions will be brisk in macro perspective on the balancing of development in healthcare industry, health of people and national health insurance finance.
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Background@#This study aims to examine the association between alcohol consumption and the risk of pre- or type 2 diabetes mellitus (T2DM) by alcohol-induced flushing response in Korean male adults, particularly based on their body mass index (BMI). @*Methods@#This study selected 1,030 (158 non-drinkers, 364 flushers, and 508 non-flushers) male adults who had medical checkups. A logistic regression analysis was used to compare the association between alcohol consumption and the risk of pre- or T2DM. @*Results@#In both the normal-weight group (BMI 4 and ≤8 drinks: 2.64, 1.10–6.36; >8 drinks: 2.42, 1.11–5.27). However, obese non-flushers had only a significant higher risk of pre- or T2DM when consuming more than 8 drinks of alcohol per week than the non-drinkers (2.72, 1.39–5.30) @*Conclusion@#These results suggest that obese flushers have an increased risk of developing pre- or T2DM even with less alcohol consumption.
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Background@#The world is currently experiencing a pandemic of coronavirus disease 2019 (COVID-19). In Korea, as in other countries, the number of confirmed cases and deaths due to COVID-19 have been rising. This study aimed to calculate the burden of disease due to COVID-19 in Korea. @*Methods@#We used data on confirmed cases and deaths due to COVID-19 between January 20 and April 24, 2020 provided by the Korea Centers for Disease Control and Prevention, the local governments and the public media to determine disability-adjusted life years (DALYs) by sex and age. Morbidity was estimated directly among the confirmed, cured, and fatal cases. Disability weights were adopted from previous similar causes on the severity of COVID-19 for the years of life lived with disability (YLDs). The years of life lost (YLLs) were calculated using the standard life expectancy from the 2018 life tables for each sex and age. @*Results@#The YLDs were higher in females (155.2) than in males (105.1), but the YLLs were higher in males (1,274.3) than in females (996.4). The total disease burden attributable to COVID-19 in Korea during the study period, was estimated to be 2,531.0 DALYs, and 4.930 DALYs per 100,000 population. The YLDs and the YLLs constituted 10.3% and 89.7% of the total DALYs, respectively. The DALYs per 100,000 population were highest in people aged ≥ 80 years, followed by those aged 70–79, 60–69, and 50–59 years, but the incidence was the highest in individuals aged 20–29 years. @*Conclusion@#This study provided the estimates of DALYs due to COVID-19 in Korea. Most of the disease burden from COVID-19 was derived from YLL; this indicates that decision-makers should focus and make an effort on reducing fatality for preparing the second wave of COVID-19.
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Background@#The present study aimed to update the methodology to estimate cause-specific disability weight (DW) for the calculation of disability adjusted life year (DALY) and health-adjusted life expectancy (HALE) based on the opinion of medical professional experts. Furthermore, the study also aimed to compare and assess the size of DW according to two analytical methods and estimate the most valid DW from the perspective of years lost due to disability and HALE estimation. @*Methods@#A self-administered web-based survey was conducted ranking five causes of disease. A total of 901 participants started the survey and response data of 806 participants were used in the analyses. In the process of rescaling predicted probability to DW on a scale from 0 to 1, two models were used for two groups: Group 1 (physicians and medical students) and Group 2 (nurses and oriental medical doctors). In Model 1, predicted probabilities were rescaled according to the normal distribution of DWs. In Model 2, the natural logarithms of predicted probabilities were rescaled according to the asymmetric distribution of DWs. @*Results@#We estimated DWs for a total of 313 causes of disease in each model and group. The mean of DWs according to the models in each group was 0.490 (Model 1 in Group 1), 0.378 (Model 2 in Group 1), 0.506 (Model 1 in Group 2), and 0.459 (Model 2 in Group 2), respectively. About two-thirds of the causes of disease had DWs of 0.2 to 0.4 in Model 2 in Group 1. In Group 2, but not in Group 1, there were some cases where the DWs had a reversed order of severity. @*Conclusion@#We attempted to calculate DWs of 313 causes of disease based on the opinions of various types of medical professionals using the previous analysis methods as well as the revised analysis method. The DWs from this study can be used to accurately estimate DALY and health life expectancy, such as HALE, in the Korean population.
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Background@#The coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries. @*Methods@#We collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000. @*Results@#As of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000;July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population. @*Conclusion@#This study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.
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Purpose@#Though the socioeconomic burden of cancer on patients is increasing in South Korea, there is little research regarding the type of cancer that incurs the highest costs. This study analyzed the socioeconomic burden on cancer patients from 2011 to 2015 according to sex and age. @*Materials and Methods@#A prevalence-based approach was applied utilizing claim data of the National Health Insurance Service in Korea to estimate the socioeconomic burden of cancer on patients. Patients who received treatment for cancer from 2011 to 2015 were the study subjects. The total socioeconomic burden of their disease and treatment was divided into direct and indirect costs. @*Results@#There was an increase of 50.7% for 5 years, from 821,525 to 1,237,739 cancer patients. The cancer costs for men and women increased $8,268.4 million to $9,469.7 million and $3,626.5 million to $4,475.6 million, respectively. Furthermore, the 50-59-year-old age group accounted for a large portion of the total disease cost. Liver, lung, stomach, and colorectal cancers created the heaviest economic burdens on patients. @*Conclusion@#Overall, this study indicates new policies for cancer prevention, early detection, and postcancer treatment management are necessary to help limit the costs associatedwith cancer, especially in the elderly, and provides a foundation for establishing cancer-related health care policies, particularly by defining those cancers with heavier disease burdens.
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BACKGROUND: This study analyzed the relationship between health behaviors and marital adjustment in multicultural couples to evaluate their health status. METHODS: Married couples (70 Korean men and their immigrant wives) completed a structured interview on health behaviors and sociodemographic factors, the Revised Dyadic Adjustment Scale (RDAS), and the Marital Intimacy Scale. Based on the cutoff value of the RDAS, respondents were classified into two groups: high or low dyadic adaptation groups. The collected data were compared with health behavior regarding smoking, alcohol consumption, exercise, and weight. RESULTS: The odds ratio (OR) (95% confidence interval [CI]) by logistic regression with adjustment for age, educational level, career, occupation, length of residence in Korea, nationality, religion, age difference between couple, number of children, monthly income, and proficiency in Korean was 1.279 (1.113–1.492) for unhealthy exercise and 1.732 (1.604–1.887) for unhealthy body weight in female immigrants with low marital adjustment. In Korean husbands with low marital adjustment, the OR (95% CI) was 1.625 (1.232–2.142) for smoking and 1.327 (1.174–1.585) for unhealthy exercise. No significant relationship was found between marital intimacy and health behaviors in female immigrants or Korean husbands. CONCLUSION: More desirable health behaviors were observed in highly adapted couples. Therefore, family physicians should be concerned with marital adjustment and other associative factors to evaluate and improve multicultural couples' health status.