Interaction Effects between Individual Socioeconomic Status and Regional Deprivation on Onset of Diabetes Complication and Diabetes-Related Hospitalization among Type 2 Diabetes Patients: National Health Insurance Cohort Sample Data from 2002 to 2013

Background: In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. Methods: Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: 'high in advantaged,' 'high in disadvantaged,' 'middle in advantaged,' 'middle in disadvantaged,' 'low in advantaged,' and 'low in disadvantaged.' We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. Results: In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00-1.08) compared to the 'low in disadvantaged' group (HR, 1.10; 95% CI, 1.05-1.16). In addition, the 'high in advantaged' group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00-1.11) compared to the 'low in advantaged' and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19-1.41) compared to the other groups. Conclusion: Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.ope

Cost of Illness of Chronic Disease by Region in Korea

Background: With the recent aging of the population, the transition to a disease structure centered on chronic diseases is accelerating. Moreover, the socio-economic gap and the polarization of the health gap between regions further increase the burden of disease on the country. Accordingly, this study calculated the disease cost of hypertension, diabetes, and hyperlipidemia, which are the three major chronic diseases, to establish an effective health promotion policy strategy for each region, and analyzed the gap in disease cost within the region to determine health determinants at the individual as well as the regional level. Methods: This study utilized data from the 2015 sample cohort of the National Health Insurance Service and calculated the disease cost of patients (diabetes: I10-I15, hypertension: E10-E14, hyperlipidemia: E78) based on the main diagnosis. Results: Based on our analysis, the case of medical use in cities and provinces was higher than in metropolitan cities, with relatively small medical use in Seoul and Gangwon-do. In terms of the disease cost, the cost of chronic diseases in Seoul and Jeju was the highest, but the difference in disease cost between patients in each region was the largest in Seoul and Gangwon-do. Conclusion: The results of this study provide meaningful data for implementing efficient health promotion policies by analyzing the differences in disease cost and identifying health determinants in different regions. Furthermore, in Korea, where socioeconomic differences are clearly revealed, it can be used as a basis for preparing a strategic plan, from a long-term perspective, to improve the health of patients with chronic diseases in the future.ope

Effect of smartphone app-based health care intervention for health management of high-risk mothers: a study protocol for a randomized controlled trial

Background: The 4th Industrial Revolution with the advent of the smart era, in which artificial intelligence, such as big data analysis and machine learning, is expected, and the provision of healthcare services using smartphones has become a reality. In particular, high-risk mothers who experience gestational diabetes, gestational hypertension, and prenatal and postpartum depression are highly likely to have adverse effects on the mother and newborn due to the disease. Therefore, continuous observation and intervention in health management are needed to prevent diseases and promote healthy behavior for a healthy life. Methods: This randomized controlled trial will provide mothers 18 years of age or older with health care information collected based on evidence-based literature data using a smartphone app for 6 weeks. About 500 mothers will be selected in consideration of the dropout rate due to the characteristics of mothers. The study group and control group will be computer-generated in a 1:1 ratio through random assignment. The research group will receive health management items through the app, and health management information suitable for the pregnancy cycle is pushed to an alarm. The control group will receive the health management information of the paper. We also followed the procedure for developing mobile apps using the IDEAS framework. Discussion: These results show the effectiveness of smart medical healthcare services and promote changes in health behaviors throughout pregnancy in high-risk mothers. Trial registration: Clinical trial registration information for this study has been registered with WHO ICTRP and CRIS (Korea Clinical Research Information Service, CRIS). Clinical trial registration information is as follows: Study of development of integrated smart health management service for the whole life cycle of high-risk mothers and newborns based on community, KCT0007193 . Registered on April 14, 2022, prospectively registered. This protocol version is Version 1.0. April 14, 2022.ope

Workplace Mistreatment and Health Conditions Prior and during the COVID-19 in South Korea: A Cross-Sectional Study

Background: This study examined the relationship between workplace mistreatment, including discrimination, abuse, and overworking, and health problems among full-time workers prior to and during the coronavirus disease (COVID-19) outbreak in South Korea. Methods: We analyzed data from the 2017 and 2020-2021 Korean Working Conditions Surveys, including the final sample of 44,425 participants. Multiple logistic regression was used to examine the relationship between workplace mistreatment and health problems among workers by gender. Interaction analysis was conducted to establish the association between the COVID-19 pandemic and health problems related to mistreatment. The occupational, demographic, and socioeconomic backgrounds were adjusted. Results: We found a significant association between workplace mistreatment and health problems, including headaches, eyestrain, and anxiety. The association increased after the COVID-19 pandemic: "discrimination" (men (OR 2.26, 95% CI 1.93-2.65), women (OR 2.73, 95% CI 2.36-3.17)); abuse (men (OR 5.42, 95% CI 2.87-10.23), women (OR 4.70, 95% CI 3.12-7.08)); and overworking: men (OR 2.36, 95% CI 2.01-2.77), women (OR 3.52, 95% CI 2.68-4.61). The interaction indicates an increased incidence of people having health problems due to workplace mistreatment (OR 1.03, 95% CI 1.00-1.06) during the COVID-19 pandemic. Conclusion: Statistically, employees who experience workplace mistreatment have worse health conditions. The COVID-19 pandemic has affected the job environment and increased the association between workplace mistreatment and health problems. To eliminate the health problems related to workplace mistreatment, it is necessary to address the impact of the COVID-19 pandemic on work and employee health conditions.ope

Assessment of textbook outcome after lobectomy for early-stage non-small cell lung cancer in a Korean institution: A retrospective study

Background: Textbook outcome (TO) has been introduced as a novel composite measure for lung cancer surgery. We investigated TO after lobectomy for early-stage non-small cell lung cancer (NSCLC) in a Korean tertiary hospital and its prognostic implications for overall survival and recurrence. Methods: Between January 2012 and December 2017, 418 consecutive patients who underwent lobectomy for clinical stages I and II NSCLC were identified and retrospectively reviewed. TO was defined as complete resection (negative resection margins and sufficient lymph node dissection), no 30-day or in-hospital mortality, no reintervention within 30 days, no readmission to the intensive care unit, no prolonged hospital stay (<14 days), no hospital readmission within 30 days, and no major complications. Propensity score matching analysis was performed to investigate the association between TO, medical costs, and long-term outcomes. Results: Of 418 patients, 277 (66.3%) achieved TO. The most common events leading to TO failure were prolonged air leakage (n = 54, 12.9%) and prolonged hospital stay (n = 53, 12.7%). Male sex (odds ratio [OR] = 2.148, p = 0.036) and low diffusing capacity for carbon monoxide (OR = 0.986, p = 0.047) were significant risk factors for failed TO in multivariate analysis. In matched cohorts, achieving TO was associated with lower medical costs and better overall survival but not cancer recurrence. Conclusions: TO is associated with low medical cost and favorable overall survival; thus, surgical teams and hospitals should make efforts to improve the quality of care and achieve TO.ope

Association between Electronic Cigarettes Use and Asthma in the United States: Data from the National Health Interview Survey 2016-2019

Purpose: This article aimed to investigate 1) whether electronic cigarette (EC) users are more likely to experience asthma attacks or emergency room (ER) visits due to asthma than non-users and 2) how age and smoking behaviors moderate the effect size of the association. Materials and methods: We used National Health Interview Survey data from 2016-2019. Multiple logistic regression analysis was performed to identify the association between current EC use and having an asthma attack and ER visitation due to asthma. Interaction terms were included to explore the moderation effects of age and cigarette smoking status. Subgroup analysis was conducted according to age group. Results: Of the 218911 participants, 2.0% of them experienced an asthma attack, and 0.5% visited the ER due to asthma. Current EC use was associated with higher odds of having an asthma attack. In interaction analysis, age and smoking status were identified as a moderator in the relationship between EC use and asthma attacks. Participants in their 20s or 30s showed the highest interaction effect. Conclusion: Our analysis indicates the potential impact of EC use on public health and the moderating effects of smoking behavior.ope

Association Between Changes in Depressive Symptoms and Hazardous Drinking: Findings From the Korea Welfare Panel Study (2013-2018)

Objective: This study aimed to evaluate the longitudinal association between changes in depressive symptoms and hazardous drinking among South Korean adults. Participants/Methods: This study was conducted using a sample drawn from participants enrolled in the Korea Welfare Panel Study (KoWePS) from 2013 to 2018. Hazardous drinking was defined as a score of 11 points for men and seven points for women on the Korean version of the Alcohol Use Disorders Identification Test. Depressive symptoms were evaluated using an 11-item version of the Center for Epidemiologic Studies Depression Scale. A generalized estimating equation model was used to analyze the association between changes in depressive symptoms and hazardous drinking. Results: Of the 12,878 people registered with KoWePS and without follow-up losses from 2013 to 2018, a total of 2,341 were included in this study, excluding those under the age of 19 and those with missing data. Persistent depressive symptoms (men, odds ratio [OR]: 2.20, 95% confidence interval [CI]: 1.48-3.21; women, OR: 2.64, 95% CI: 1.66-4.22) and the changes from non-depressive symptoms to depressive symptoms (men, adjusted OR: 2.18, 95% CI: 1.80-2.64; women, OR: 1.71, 95% CI: 1.27-2.29) increased the likelihood of hazardous drinking. Conclusions: Persistent depressive symptoms and changes from non-depressive to depressive symptoms are associated with increased prevalence of hazardous drinking. This suggests that an evaluation of the underlying mental illness or emotion should be made when counseling for abstaining from alcohol for chronic drinkers or the general public.ope

Association between perceived decline in family income due to COVID-19 and alcohol consumption among Korean adolescents

Background: This study examines the relationship between the perceived decline in family income due to COVID-19 and alcohol consumption among Korean adolescents. Methods: Korea Youth Risk Behavior Web-Based Survey 2020 data were used. The study included 42,922 participants (20,672 males; 22,250 females). Multiple logistic regression estimated the relationship between the decline in family income due to COVID-19 and drinking (yes or no) and alcohol-induced blackout (yes or no) status among Korean adolescents. Results: Adolescent males who perceived worsened family income due to COVID-19 had a higher OR for drinking status and alcohol-induced blackout within 30 days (drinking status: OR 1.27, CI 1.15-1.42, alcohol-induced blackout: OR 1.60, CI 1.19-2.15). Females had a higher OR for current drinking (OR 1.22, CI 1.09-1.38). 7th grade females and 10th grade males were more likely to drink alcohol when their household income decline, compared to high school students (10th grade male: OR 1.54 CI 1.18-2.00; 7th grade female: OR 1.57 CI 1.08-2.27). The male group perceiving family financial loss were likely to have an increased frequency of drinking within 30 days (1-9 days: OR 1.26 CI 1.11-1.42, 10-19 days; OR 1.70 CI 1.22-2.36 over 20 days; OR 1.74 CI 1.15-3.09). Limitations: Cross-sectional design and self-reported data are the main limitation of our study. And the cut-off points for drinking status and heavy drinking factors may be difficult to generalize our findings to different population. Conclusions: A significantly positive association of perceived decline in family income due to COVID-19 with increased risks of alcohol consumption was observed among Korean adolescents of both sexes. 7th grade females and 10th grade males were more likely to drink alcohol when their household income changed, compared to high school students. Further, adolescents who perceived family financial loss had an increased frequency of drinking.ope

Development of Population-Based Cancer Indicators and a Measurement of Cancer Care Continuum Using a Modified Delphi Method

To identify population-based cancer indicators and construct monitoring systems for the entire lifecycle of cancer patients using a modified Delphi method. A modified Delphi method was used to identify the cancer indicators and measurement by scoping review and gray literature. The final list of cancer indicators was developed by consensus of 11 multidisciplinary experts over multiple rounds and rating scored the importance of each indicator on a 10-point scale. Frequency analysis was performed to rate with median scores ≥7 and finalized the list of indicators according to the priority. Initially, 254 indicators were identified, of which 94 were considered important and feasible. After two rounds of rating by the experts and panel discussions, 26 indicators were finalized in six domains: primary prevention (n = 7), secondary prevention (n = 11), treatment (n = 2), quality of life (n = 4), survivor management (n = 1), and end-of-life care (n = 1). The Donabedian model used for examining health services and the Institute of Medicine quality of healthcare domains were applied to the measurement system. Panel experts identified cancer indicators based on priorities with a high level of consensus, providing a scrupulous foundation for community-based monitoring of cancer patients.ope

Machine learning based risk prediction for Parkinson's disease with nationwide health screening data

Although many studies have been conducted on machine learning (ML) models for Parkinson's disease (PD) prediction using neuroimaging and movement analyses, studies with large population-based datasets are limited. We aimed to propose PD prediction models using ML algorithms based on the National Health Insurance Service-Health Screening datasets. We selected individuals who participated in national health-screening programs > 5 times between 2002 and 2015. PD was defined based on the ICD-code (G20), and a matched cohort of individuals without PD was selected using a 1:1 random sampling method. Various ML algorithms were applied for PD prediction, and the performance of the prediction models was compared. Neural networks, gradient boosting machines, and random forest algorithms exhibited the best average prediction accuracy (average area under the receiver operating characteristic curve (AUC): 0.779, 0.766, and 0.731, respectively) among the algorithms validated in this study. The overall model performance metrics were higher in men than in women (AUC: 0.742 and 0.729, respectively). The most important factor for predicting PD occurrence was body mass index, followed by total cholesterol, glucose, hemoglobin, and blood pressure levels. Smoking and alcohol consumption (in men) and socioeconomic status, physical activity, and diabetes mellitus (in women) were highly correlated with the occurrence of PD. The proposed health-screening dataset-based PD prediction model using ML algorithms is readily applicable, produces validated results, and could be a useful option for PD prediction models.ope