Subjective Cognitive Decline in Community-Dwelling Older Adults With Objectively Normal Cognition: Mediation by Depression and Instrumental Activities of Daily Living.

OBJECTIVE: Subjective cognitive decline (SCD) refers to self-reported memory loss despite normal cognitive function and is considered a preclinical stage of Alzheimer's disease. This study aimed to examine the mediating effects of depression and Instrumental Activities of Daily Living (IADL) on the association between the scoring of Clinical Dementia Rating Scale-Sum of Boxes (CDR-SB) and Subjective Cognitive Decline Questionnaire (SCD-Q). METHODS: A sample of 139 community-dwelling older adults aged 65-79 with normal cognitive function completed the SCD-Q, a comprehensive neuropsychological battery, and functional/psychiatric scales. We conducted 1) a correlation analysis between SCD-Q scores and other variables and 2) a path analysis to examine the mediating effects of depression and IADL on the relationship between CDR-SB and SCD-Q. RESULTS: CDR-SB was found to be indirectly associated with SCD-Q, with depressive symptoms mediating this relationship. However, no direct association was observed between SCD-Q and CDR-SB. Additionally, IADL was not associated with SCD-Q and did not mediate the relationship between CDR-SB and SCD-Q. The model fit was acceptable (minimum discrepancy function by degrees of freedom divided [CMIN/DF]=1.585, root mean square error of approximation [RMSEA]=0.065, comparative fit index [CFI]=0.955, Tucker-Lewis index [TLI]=0.939). CONCLUSION: Our results suggest that SCD-Q is influenced by depressive symptoms, but not by IADL. The role of depressive symptoms as a mediator between CDR-SB and SCD-Q indicates that psychological factors may contribute to the perception of SCD. Therefore, interventions targeting depression may mitigate the concerns associated with SCD and reduce feelings of worse performance compared to others of the same age group.

Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study.

BACKGROUND: Fetal alcohol syndrome (FAS) is a lifelong developmental disability that occurs among individuals with prenatal alcohol exposure (PAE). With improved prediction models, FAS can be diagnosed or treated early, if not completely prevented. OBJECTIVE: In this study, we sought to compare different machine learning algorithms and their FAS predictive performance among women who consumed alcohol during pregnancy. We also aimed to identify which variables (eg, timing of exposure to alcohol during pregnancy and type of alcohol consumed) were most influential in generating an accurate model. METHODS: Data from the collaborative initiative on fetal alcohol spectrum disorders from 2007 to 2017 were used to gather information about 595 women who consumed alcohol during pregnancy at 5 hospital sites around the United States. To obtain information about PAE, questionnaires or in-person interviews, as well as reviews of medical, legal, or social service records were used to gather information about alcohol consumption. Four different machine learning algorithms (logistic regression, XGBoost, light gradient-boosting machine, and CatBoost) were trained to predict the prevalence of FAS at birth, and model performance was measured by analyzing the area under the receiver operating characteristics curve (AUROC). Of the total cases, 80% were randomly selected for training, while 20% remained as test data sets for predicting FAS. Feature importance was also analyzed using Shapley values for the best-performing algorithm. RESULTS: Overall, there were 20 cases of FAS within a total population of 595 individuals with PAE. Most of the drinking occurred in the first trimester only (n=491) or throughout all 3 trimesters (n=95); however, there were also reports of drinking in the first and second trimesters only (n=8), and 1 case of drinking in the third trimester only (n=1). The CatBoost method delivered the best performance in terms of AUROC (0.92) and area under the precision-recall curve (AUPRC 0.51), followed by the logistic regression method (AUROC 0.90; AUPRC 0.59), the light gradient-boosting machine (AUROC 0.89; AUPRC 0.52), and XGBoost (AUROC 0.86; AURPC 0.45). Shapley values in the CatBoost model revealed that 12 variables were considered important in FAS prediction, with drinking throughout all 3 trimesters of pregnancy, maternal age, race, and type of alcoholic beverage consumed (eg, beer, wine, or liquor) scoring highly in overall feature importance. For most predictive measures, the best performance was obtained by the CatBoost algorithm, with an AUROC of 0.92, precision of 0.50, specificity of 0.29, F1 score of 0.29, and accuracy of 0.96. CONCLUSIONS: Machine learning algorithms were able to identify FAS risk with a prediction performance higher than that of previous models among pregnant drinkers. For small training sets, which are common with FAS, boosting mechanisms like CatBoost may help alleviate certain problems associated with data imbalances and difficulties in optimization or generalization.

Correction: Racial/Ethnic Disparity in Association Between Fetal Alcohol Syndrome and Alcohol Intake During Pregnancy: Multisite Retrospective Cohort Study.

[This corrects the article DOI: 10.2196/45358.].

Racial/Ethnic Disparity in Association Between Fetal Alcohol Syndrome and Alcohol Intake During Pregnancy: Multisite Retrospective Cohort Study.

BACKGROUND: Alcohol consumption during pregnancy is associated with a range of adverse birth-related outcomes, including stillbirth, low birth weight, preterm birth, and fetal alcohol syndrome (FAS). With more than 10% of women consuming alcohol during pregnancy worldwide, it is increasingly important to understand how racial/ethnic variations affect FAS onset. However, whether race and ethnicity inform FAS risk assessment when daily ethanol intake is controlled for remains unknown. OBJECTIVE: This study aimed to assess racial/ethnic disparities in FAS risk associated with alcohol consumption during pregnancy. METHODS: We used data from a longitudinal cohort study (the Collaborative Initiative on Fetal Alcohol Spectrum Disorders) at 5 hospital sites around the United States of 595 women who consumed alcohol during pregnancy from 2007 to 2017. Questionnaires, in-person interviews, and reviews of medical, legal, and social service records were used to gather data on average alcoholic content (AAC) during pregnancy. Self-reports of maternal race (American Indian/Alaska Native [AI/AN], Asian, Native Hawaiian or other Pacific Islander, Black or African American, White, more than one race, and other) and ethnicity (Hispanic/Latino or not Hispanic/Latino), as well as FAS diagnoses based on standardized dysmorphological criteria, were used for analysis. Log-binomial regression was used to examine the risk of FAS associated with each 1-gram increase in ethanol consumption during pregnancy, stratified by race/ethnicity. RESULTS: A total of 3.4% (20/595) of women who reported consuming alcohol during pregnancy gave birth to a baby with FAS. Women who gave birth to a baby with FAS had a mean AAC of 32.06 (SD 9.09) grams, which was higher than that of women who did not give birth to a baby with FAS (mean 12.07, SD 15.87 grams). AI/AN mothers with FAS babies had the highest AAC (mean 42.62, SD 8.35 grams), followed by White (mean 30.13, SD 4.88 grams) and Black mothers (mean 27.05, SD 12.78 grams). White (prevalence ratio [PR] 1.10, 95% CI 1.03-1.19), Black (PR 1.13, 95% CI 1.04-1.23), and AI/AN (PR 1.10, 95% CI 1.00-1.21) mothers had 10% to 13% increased odds of giving birth to a baby with FAS given the same exposure to alcohol during pregnancy. Regardless of race, a 1-gram increase in AAC resulted in a 4% increase (PR 1.04, 95% CI 1.02-1.07) in the chance of giving birth to a baby with ≥2 facial anomalies (ie, short palpebral fissures, thin vermilion border of the upper lip, and smooth philtrum) and a 4% increase (PR 1.04, 95% CI 1.01-1.07) in the chance of deficient brain growth. CONCLUSIONS: The risk of delivering a baby with FAS was comparable among White, Black, and AI/AN women at similar levels of drinking during pregnancy. Regardless of race, a 1-gram increase in AAC resulted in increased odds of giving birth to a baby with facial anomalies or deficient brain growth.

Prenatal maternal alcohol exposure: diagnosis and prevention of fetal alcohol syndrome.

Fetal alcohol syndrome (FAS) is a developmental and congenital disorder characterized by neurocognitive impairment, structural defects, and growth restriction due to prenatal alcohol exposure. The estimated global prevalence of alcohol use during pregnancy is 9.8%, and the estimated prevalence of FAS in the general population is 14.6 per 10,000 people. In Korea, the estimated prevalence of alcohol use during pregnancy is 16%, and the prevalence of FAS is 18-51 per 10,000 women, which is higher than the global prevalence. Women's alcohol consumption rates have increased, especially in women of childbearing age. This could increase the incidence of FAS, leading to higher medical expenses and burden on society. Alcohol is the single most important teratogen that causes FAS, and there is no safe trimester to drink alcohol and no known safe amount of alcohol consumption during pregnancy. Thus, physicians should assess women's drinking patterns in detail and provide education on FAS to women by understanding its pathophysiology. Moreover, the prevention of FAS requires long-term care with a multidisciplinary approach.

The Association Between Adequate Prenatal Care and Severe Maternal Morbidity Among Teenage Pregnancies: A Population-Based Cohort Study.

Background: The aim of this study was to examine whether inadequate prenatal care affect the risk of severe maternal morbidity in teenage pregnancies. Methods: We included 23,202 delivery cases among adolescent mothers aged between 13 and 19 years old with ≥ 37 weeks' gestational age. Data were derived from the National Health Insurance Service National Delivery Cohort in Korea between 2003 and 2018. We used a generalized estimating equation model while adjusting for numerous covariates to determine the adjusted relative risk (RR) associated with severe maternal morbidity. The main outcome measures were severe maternal morbidity and the Kessner Adequacy of Prenatal Care Index. Results: Severe maternal morbidity occurred in 723 (3.1%) of the 23,202 investigated delivery cases. The risk of severe maternal morbidity was 1.8-fold higher among adolescent mothers who had received inadequate prenatal care (RR, 1.81, 95% confidence interval [CI], 1.39-2.37) and 1.6-fold higher among those who had received intermediate prenatal care (RR, 1.59, 95% CI, 1.33-1.87) compared to those with adequate prenatal care. Synergistic effects of inadequate prenatal care and maternal comorbidities affected severe maternal morbidity. Conclusion: This study confirmed that inadequate prenatal care is associated with increased risk of severe maternal morbidity among pregnant teenagers. Notably, maternal comorbidity and inadequate prenatal care produced synergistic effects on severe maternal morbidity. Public health policy makers should focus on the development and implementation of programs to ensure that adequate prenatal care and financial/healthcare support is provided to teenage mothers during their pregnancies.

Risk of suicide death in psychiatric patients according to the level of continuity of care and area deprivation: A population-based nested case-control study.

Continuity of care and area deprivation have been implicated as possible risk factors of suicide in psychiatric patients. This nested case-control study aimed to examine the association between continuity of care and area deprivation and suicide death in patients with psychiatric disorders. Data were collected from the Korean National Health Insurance Service National Sample Cohort, 2003-2013. The subjects were 974 patients with psychiatric disorders who completed suicides. Each case was compared to three control cases with propensity score matching by gender, age, and follow-up period with incidence density sampling, comprising the final control group of 2,922 living patients. Hazard ratios (HR) for suicide risk considering continuity of care and area deprivation were analysed using a multiple conditional logistic regression. The average follow-up periods between the case and control groups were not statistically different (case: 277.6 weeks, control: 271.4 weeks, p = .245). Both poor continuity of care and higher area deprivation proved to be associated with increased risk of suicide (poor continuity of care; adjusted HR [AHR]: 3.38, 95% confidence intervals [CI]: 2.58-4.43, highest area deprivation; AHR: 1.93, 95% CI: 1.53-2.44). Poor continuity of care combined with highest area deprivation showed a negative synergistic effect on a highly increased risk of suicide (AHR: 2.88, 95% CI: 1.45-5.74). Age was effect modified between suicide risk and poor continuity of care as well as suicide risk and higher area deprivation. A strong patient-provider relationship with good continuity of care may lead to a lower possibility of suicide in psychiatric patients. Moreover, improving community capacity for suicide prevention as well as appropriate postvention should be addressed.

Effectiveness of Digital Interventions for Preventing Alcohol Consumption in Pregnancy: Systematic Review and Meta-analysis.

BACKGROUND: Alcohol consumption in pregnancy has been associated with serious fetal health risks and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, few studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy. OBJECTIVE: This systematic review aims to assess (1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and (2) the differential effectiveness of alternative digital intervention platforms (ie, computers, mobiles, and text messaging services). METHODS: PubMed, Embase, CINAHL, and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy. RESULTS: Six studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI 0.42-0.91; P=.02) in favor of digital interventions decreasing the risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR 0.59, 95% CI 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR 0.29, 95% CI 0.29-2.52) were available to draw a conclusion. CONCLUSIONS: Overall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies.

Social engagement and cognitive function among middle-aged and older adults: gender-specific findings from the Korean longitudinal study of aging (2008-2018).

Recent findings suggest that social disengagement in later life may result in cognitive decline and increase risk of Alzheimer's and related dementias. However, little is known regarding the gender-specific longitudinal association between social engagement and cognition among middle-aged and older adults. Using data from a nationally representative sample of 2707 men and 5196 women from the Korean longitudinal study of aging, we examined the gender-specific association between social activity and cognitive function. Results from the generalized estimating equation model showed that compared to individuals with consistent social engagement (religious, senior center, sport, reunion, voluntary, political), individuals with inconsistent engagement had lower cognitive function. Transitioning from engagement to non-engagement was associated with lower cognitive function among men only. Not being part of a senior center was associated with decreased cognitive function among both genders, while not being part of a religious group was significant for women only. While marital status was a significant predictor of cognitive ability for women, depression was a significant predictor for men. These findings have implications for policy-makers as interventions targeting improved cognitive function among middle-aged and older adults may be more effective when gender-specific predictors are taken into consideration.

Correction: Measurement of Digital Literacy Among Older Adults: Systematic Review.

[This corrects the article DOI: 10.2196/26145.].

Prenatal Exposure to Alcohol, Tobacco, and Coffee: Associated Congenital Complications and Adverse Birth Outcomes.

A few studies to date have examined the association between prenatal exposure to alcohol, tobacco, and coffee, and congenital complications/adverse birth outcomes among South Korean populations. Thus, this study analyzed the data of 1675 Korean women with birth experience within the last 3 years for pregnancy-related health and nutritional behaviors and relative outcomes. During their pregnancies, 11.58% of the study population consumed alcohol at least once, 1.43% drank throughout all three trimesters, 1.13% smoked, 25.43% were exposed to secondhand smoking, and 28.18% consumed 3 coffees or more every day. Prenatal alcohol exposure was associated with 11.24 times increased risk of birth defects/disabilities [Odds Ratio (OR): 11.24, 95% Confidence Interval (CI) 1.07-117.86] and 10.66 times increased risk of inherited metabolic diseases (OR: 10.66, 95% CI: 1.08-104.82). Prenatal secondhand smoke exposure (OR: 1.62, 95% CI: 1.01-2.62) and coffee consumption (OR: 1.92, 95% CI: 1.22-3.03) was associated with increased risk of low birth weight. Such results were in alignment with that of previous studies and confirmed that prenatal alcohol, tobacco, and coffee exposure can have detrimental neonatal and maternal consequences.

Correction: Measurement of Digital Literacy Among Older Adults: Systematic Review.

[This corrects the article DOI: 10.2196/26145.].

Measurement of Digital Literacy Among Older Adults: Systematic Review.

BACKGROUND: Numerous instruments are designed to measure digital literacy among the general population. However, few studies have assessed the use and appropriateness of these measurements for older populations. OBJECTIVE: This systematic review aims to identify and critically appraise studies assessing digital literacy among older adults and to evaluate how digital literacy instruments used in existing studies address the elements of age-appropriate digital literacy using the European Commission's Digital Competence (DigComp) Framework. METHODS: Electronic databases were searched for studies using validated instruments to assess digital literacy among older adults. The quality of all included studies was evaluated using the Crowe Critical Appraisal Tool (CCAT). Instruments were assessed according to their ability to incorporate the competence areas of digital literacy as defined by the DigComp Framework: (1) information and data literacy, (2) communication and collaboration, (3) digital content creation, (4) safety, and (5) problem-solving ability, or attitudes toward information and communication technology use. RESULTS: Searches yielded 1561 studies, of which 27 studies (17 cross-sectional, 2 before and after, 2 randomized controlled trials, 1 longitudinal, and 1 mixed methods) were included in the final analysis. Studies were conducted in the United States (18/27), Germany (3/27), China (1/27), Italy (1/27), Sweden (1/27), Canada (1/27), Iran (1/27), and Bangladesh (1/27). Studies mostly defined older adults as aged ≥50 years (10/27) or ≥60 years (8/27). Overall, the eHealth Literacy Scale (eHEALS) was the most frequently used instrument measuring digital literacy among older adults (16/27, 59%). Scores on the CCAT ranged from 34 (34/40, 85%) to 40 (40/40, 100%). Most instruments measured 1 or 2 of the DigComp Framework's elements, but the Mobile Device Proficiency Questionnaire (MDPQ) measured all 5 elements, including "digital content creation" and "safety." CONCLUSIONS: The current digital literacy assessment instruments targeting older adults have both strengths and weaknesses, relative to their study design, administration method, and ease of use. Certain instrument modalities like the MDPQ are more generalizable and inclusive and thus, favorable for measuring the digital literacy of older adults. More studies focusing on the suitability of such instruments for older populations are warranted, especially for areas like "digital content creation" and "safety" that currently lack assessment. Evidence-based discussions regarding the implications of digitalization for the treatment of older adults and how health care professionals may benefit from this phenomenon are encouraged.

Association between commensality with depression and suicidal ideation of Korean adults: the sixth and seventh Korean National Health and Nutrition Examination Survey, 2013, 2015, 2017.

OBJECTIVES: This study investigated whether commensality (eating a meal with others) is associated with mental health (depression, suicidal ideation) in Korean adults over 19 years old. METHODS: Our study employed data from the sixth and seventh Korea National Health and Nutritional Examination Surveys (KNHANES) for 2013, 2015, and 2017. The study population consisted of 14,125 Korean adults (5854 men and 8271 women). In this cross-sectional study, data were analyzed with the Rao-Scott chi-square test and multiple logistic regression to evaluate the association between commensality(0[includes skipping meals] to 3 times eating meals together) and both depression and suicidal ideation using select questions from the Mental Health Survey. By setting socioeconomic factors, health conditions, and behavioral factors as confounders, we conducted a subgroup analysis to reveal the effect on depression and suicidal ideation commensality. RESULTS: Commensality was significantly associated with depression and suicidal ideation (p < 0.05). In both sexes, people who ate fewer meals together had poorer mental health. In a subgroup analysis, we revealed greater odds of developing depression in men when living in rural areas and belonging to low-income groups. In contrast, greater odds of suicidal ideation in men who ate alone when living in the city and belonging to high-income groups. On the other hand, Women in every region had greater odds of being depressed if they ate alone. And greater odds of suicidal ideation in women who ate alone when living in the city and belonging to medium-high income groups. CONCLUSIONS: Our analysis confirmed that Korean adults with lower chance of commensality had greater risk of developing depression and suicidal ideation. And it could be affected by individuals' various backgrounds including socioeconomic status. As a result, to help people with depression and prevent a suicidal attempt, this study will be baseline research for social workers, educators and also policy developers to be aware of the importance of eating together.

Hospitalizations and mortality among patients with fetal alcohol spectrum disorders: a prospective study.

With nearly 10% of women consuming alcohol during pregnancy, fetal alcohol spectrum disorders (FASDs) are becoming an increasing concern for clinicians and policymakers interested in the field of healthcare. Known as the range of mental and/or physical disabilities that occur among individuals with prenatal alcohol exposure, FASDs can result in dysmorphic features, problems with physical growth, neurobehavioral and cognitive problems that not only increase risk of various diseases, but also premature mortality. We investigated whether the diagnosis of FASDs result in increased risk of hospitalizations and mortality, with respect to FASD domains and relative diseases, when age effects are controlled for. The data for this study was taken from the National Health Insurance Service - National Sample Cohort (NHIS-NSC) between 2003 and 2013. The population attributable risk (PAR) statistic was used to estimate the percentage of hospitalizations and mortality attributable to FASDs and other factors. A time-dependent Cox proportional hazards model with age of diagnosis as the time-scale was employed to calculate adjusted hazard ratios and 95% CIs for hospitalizations and mortality among FASD populations compared to their general population peers. Among the 3,103 FASD cases, 27.5% experienced hospitalizations and 12.5% died. Overall, FASDs accounted for 853 FASD-attributable hospitalizations (51.0% of all hospitalizations in the study population) and 387 mortality events (34.5% of all deaths in the study population). 20.52% of hospitalizations and 21.35% of mortalities were attributable to FASDs in this population. Compared to the control group, FASD patients had a 1.25-fold (HR: 1.25, 95% CI: 1.05-1.49, p = 0.0114) increased risk of hospitalizations and a 1.33-fold (HR: 1.33, 95% CI: 1.07-1.67, p = 0.0118) increased risk of all-cause mortality. The most common cause for hospitalization was diseases of the nervous system, which accounted for 450 FASD-attributable hospitalizations (96.2% of all nervous system hospitalizations in the study population). In fact, FASD patients were 52 times more likely to be hospitalized for nervous system diseases than their peers (HR: 51.78, 95% CI: 29.09-92.17, p < .0001). The most common cause for mortality was neoplasms, which accounted for 94 FASD-attributable deaths (28.7% of all neoplasm deaths in the study population). However, FASD patients did not have increased risk of neoplasm mortality than the general population (HR: 0.88, 95% CI: 0.59-1.32, p < .0001). Overall, this study found that individuals diagnosed with FASDs have increased risk of both hospitalizations and mortality, compared to their general population peers. This is particularly so for diseases of the nervous system, which showed a 52-fold increase in hospitalizations and four-fold increase in mortality for FASD patients in our study. Likewise, while the association between FASDs and neoplasm mortality was not significant in our investigation, more attention by neurologists and related healthcare providers regarding the link between these two factors is necessary.Trial Registration: Institutional Review Board of Yonsei University's Health System: Y-2019-0174.

Alcohol Use Disorders and Increased Risk of Adverse Birth Complications and Outcomes: An 11-Year Nationwide Cohort Study.

For women who suffer from Alcohol Use Disorders (AUDs), the use of alcohol before and/or during pregnancy may result in various birth complications, including miscarriage, stillbirth, or preterm delivery. Thus, this study aimed to explore whether Alcohol Use Disorders (AUDs) are associated with increased risk of adverse birth complications and outcomes. A total of 76,799 deliveries between 2003 and 2013 in the Korean National Health Insurance Service National Sample Cohort (NHIS-NSC) were analyzed. Women with an AUD diagnosis preceding delivery were identified as individuals with alcohol dependence. A multivariate Cox proportional hazards model was used to estimate the hazard ratio of adverse birth complications and outcomes associated with alcohol dependence. Diagnosis of an AUD was associated with increased risk of adverse birth complications (Hazard Ratio [HR]: 1.15, 95% CI: 1.01-1.31, p = 0.0302). This was especially the case for women whose AUD diagnosis was in the same year as their delivery (HR: 1.53, 95% CI: 1.24-1.88, p < 0.0001). AUDs were associated with increased risk of adverse birth outcomes, especially when prevalent in the same year as a woman's delivery. Our study confirms that the monitoring of expecting women with a diagnosis of alcohol-related problems may be useful in preventing adverse birth complications.

Association between changes in economic activity and catastrophic health expenditure: findings from the Korea Health Panel Survey, 2014-2016.

BACKGROUND: The rate of catastrophic health expenditure (CHE) continues to rise in South Korea. This study examined the association between changes in economic activity and CHE experiences in South Korea. METHODS: This study analyzed the Korea Health Panel Survey data using a logistic regression analysis to study the association between changes in economic activity in 2014-2015 and the participants' CHE experiences in 2015. The study included a total of 12,454 individuals over the age of 19. The subgroup analyses were organized by sex, age, health-related variables, and household level variables, and the reasons for leaving economic activity. RESULTS: Those who quit economic activities were more likely to experience CHE than those who continued to engage in economic activities (OR [odds ratio] = 2.10; 95% CI [confidence interval]: 1.31-3.36). The subgroup analysis results, according to health-related variables, showed that there is a tendency to a higher Charlson comorbidity index, a higher OR, and, in groups that quit their economic activities, people with disabilities were more likely to experience CHE than people without disabilities (OR = 5.63; 95% CI 1.71-18.59, OR = 1.82; 95% CI 1.08-3.08, respectively). Another subgroup analysis found that if the reason for not participating in economic activity was a health-related issue, the participant was more likely to experience CHE (active → inactive: OR = 2.40; 95% CI 0.61-9.43, inactive → inactive OR = 1.65; 95% CI 1.01-2.68). CONCLUSIONS: Those individuals who became unemployed were more likely to experience CHE, especially if health problems precipitated the job loss. Therefore, efforts are needed to expand coverage for those people who suffer from high medical expenses.

Statin adherence and risk of all-cause, cancer, and cardiovascular mortality among dyslipidemia patients: A time-dependent analysis.

BACKGROUND AND AIM: Results have been mixed and uncertainty still remains regarding the impact of statin adherence on premature deaths. Thus, we investigated the association between statin adherence and risks of all-cause, cancer, and cardiovascular mortality among dyslipidemia patients in South Korea. METHODS AND RESULTS: We used data from the National Health Insurance Service (NHIS) National Sample Cohort for the years 2003-2013, which included data on 107,954 middle-aged and elderly dyslipidemia patients. Among these patients, a time-dependent Cox proportional hazards model was used to estimate the hazard ratios (HRs) of all-cause, cancer, and cardiovascular mortality depending on proportion of days covered (PDC) by statin medication. A total of 3073 (2.85%) individuals died within the study period. Of these individuals, 1143 (1.06%) died from cancer, and 687 (0.64%) died from cardiovascular diseases. Relative to good medication adherence (>80%), moderate (50-80%) (hazard ratio [HR]: 1.28, 95% confidence interval [CI]: 1.14-1.43) and poor (<50%) (HR: 1.58, 95% CI: 1.41-1.78) adherence were associated with increased risk of all-cause mortality. Poor adherence was also associated with increased risk of cancer (HR: 1.33, 95% CI: 1.16-1.52) and cardiovascular (HR: 1.27, 95% CI: 1.06-1.51) mortality. CONCLUSION: Such findings reveal that relative to good statin adherence, moderate and/poor adherence is associated with increased risks of all-cause, cancer, and cardiovascular mortality. Clinicians should assess for dyslipidemia, link statin adherence problems to potential mortality risk, and monitor outcomes in both medication adherence and disease complications.

Chronic alcoholism and all-cause mortality among disabled individuals: Findings from the Korea National Health Insurance Service-National Sample Cohort.

BACKGROUND: Alcohol use among adults with mild to severe disability is an under-researched topic in the literature. Few studies have attempted to assess the impact of alcohol misuse, abuse, and chronic alcoholism among this target group. Thus, we investigated the association between chronic alcoholism and mortality among disabled individuals in South Korea. METHODS: We used data from the National Health Insurance Service National Sample Cohort (NHIS-NSC) for the years 2003-2013, which included data on 61,013 disabled individuals. Among these patients, a multivariate Cox proportional hazards model was used to estimate the hazard ratio of mortality associated with chronic alcoholism. RESULTS: A total of 800 individuals died during the study period. Individuals who had medical claims for chronic alcoholism following their disability diagnosis had greater risk of mortality than individuals without chronic alcoholism (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.06-2.31, p = 0.0244). Individuals with a physical disability (HR: 2.30, 95% CI: 1.06-4.95, p = 0.0342), brain lesion (HR: 1.96, 95% CI: 1.03-3.74, p = 0.0405), and/or kidney failure (HR: 4.98, 95% CI: 1.07-23.25, p = 0.0411) had greatest mortality risk when diagnosed with chronic alcoholism, compared to individuals who were not diagnosed with chronic alcoholism. CONCLUSIONS: Chronic alcoholism following disability diagnosis was associated with greater mortality risk in a nationally representative population of disabled individuals, especially among individuals with a physical disability, brain lesion, and/or kidney failure. Such findings reveal that certain social and political measures must be implemented to help disabled individuals suffering from alcoholism, especially according to disability diagnosis.

Associations between Gender, Alcohol Use and Negative Consequences among Korean College Students: A National Study.

This study examines Korean college students' rates and the severity of various negative consequences resulting from the frequency and quantity of alcohol consumption and the unique factors that are affecting this problem in the Korean context in comparison to other countries. It assesses how much gender, age and other associated respondent characteristics mediate alcohol use and the resulting negative consequences among the population. A stratified representative sample of 4803 valid student respondents attending 82 colleges participated in the alcohol consumption survey, of which 95% reported drinking in past 12 months. Drinking is measured by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening tool. Based on this test, composite scores for each participant were computed and students were grouped into four risk groups: (a) nondrinkers, (b) light drinkers, (c) moderate drinkers and (d) heavy drinkers. Outcome measures include 21 validated items evaluating self-reported alcohol-related negative consequences. Rates of negative consequences are reported for each drinking risk group stratified by gender. Descriptive statistics, stepwise regression, multivariate linear regression and MANOVA tests were used to analyze the data. The study found that female respondents in the sample who consumed alcohol in the past 12 months drank 11.5 percent less than males (AUDIT-C score µ = 6.0 and 6.7, respectively), and there was a greater proportion of females (5.1 percent) who were nondrinkers than males (4.6 percent). Yet, when females drank, they experienced 11.8 percent more negative consequences on average than males (µ = 1.9 and 1.7, respectively). The study attempts to explain this apparent contradiction. The self-reported rates for many individual negative consequences also varied discernibly by gender. The study concludes with suggestions for how alcohol prevention on Korean college campuses would benefit from targeting females and males differently.