Epidemiology and Health

Original articles

Changes in food sufficiency among Korean adults in urban and rural areas during the COVID-19 pandemic: an analysis of the 7th and 8th Korea National Health and Nutrition Examination Survey: Sarang Jeong, Jin-Young Jeong, Sohyun Park; Epidemiol Health. 2024;e2024045. Published online April 16, 2024; DOI: https://doi.org/10.4178/epih.e2024045 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
Understanding changes in food sufficiency within various demographic groups during emergency situations, such as the global coronavirus disease 2019 (COVID-19) pandemic, is crucial in formulating public health policies for future preparedness. This study investigated potential differences between urban and rural residents in food sufficiency trends during the COVID-19 pandemic and examined how these changes varied according to sociodemographic factors.
METHODS
This cross-sectional study analyzed data from 19,724 adults aged 20 years and older, utilizing information from the 7th–8th Korea National Health and Nutrition Examination Survey (2018–2021).
RESULTS
In urban areas, across all subpopulations, food sufficiency improved significantly during the COVID-19 period relative to pre-pandemic levels (p<0.001). However, in rural regions, a significant increase in food sufficiency during the COVID-19 era was observed only among women, with an odds ratio of 1.42 (confidence interval, 1.06 to 1.89). Nevertheless, no significant interaction terms were found between region and various sociodemographic factors regarding changes in food sufficiency during the COVID-19 period.
CONCLUSIONS
During the COVID-19 pandemic, food sufficiency among urban residents improved compared to the pre-pandemic era, whereas their rural counterparts saw no such improvement. Additionally, no significant interaction was detected between urban versus rural areas and changes in food sufficiency during the COVID-19 period. These findings indicate the need for targeted food policies to prepare for potential future pandemics, particularly in rural areas, where food sufficiency did not improve.; Summary

Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods: Pravin Arun Sawant, Sakshi Shantanu Hiralkar, Yogita Purushottam Hulsurkar, Mugdha Sharad Phutane, Uma Satish Mahajan, Abhay Machindra Kudale; Epidemiol Health. 2024;e2024044. Published online April 13, 2024; DOI: https://doi.org/10.4178/epih.e2024044 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
Over-the-counter (OTC) antibiotic use can cause antibiotic resistance, threatening global public health gains. To counter OTC use, this study used machine learning (ML) methods to identify predictors of OTC antibiotic use in rural Pune, India.
METHODS
The features of OTC antibiotic use were selected using stepwise logistic, lasso, random forest, XGBoost, and Boruta algorithms. Regression and tree-based models with all confirmed and tentatively important features were built to predict the use of OTC antibiotics. Five-fold cross-validation was used to tune the models’ hyperparameters. The final model was selected based on the highest area under the curve (AUROC) with a 95% confidence interval and the lowest log-loss.
RESULTS
In rural Pune, the prevalence of OTC antibiotic use was 35.9% (95% CI, 31.56%-40.46%). The perception that buying medicines directly from a medicine shop/pharmacy is useful, using antibiotics for eye-related complaints, more household members consuming antibiotics, and longer duration and higher doses of antibiotic consumption in rural blocks and other social groups were confirmed as important features by the Boruta algorithm. The final model was the XGBoost+Boruta model with 7 predictors (AUROC=0.934; 95% CI, 0.8906-0.9782; log-loss=0.2793) log-loss.
CONCLUSIONS
XGBoost+Boruta, with 7 predictors, was the most accurate model for predicting OTC antibiotic use in rural Pune. Using OTC antibiotics for eye-related complaints, higher consumption of antibiotics and the perception that buying antibiotics directly from a medicine shop/pharmacy is useful were identified as key factors for planning interventions to improve awareness about proper antibiotic use.; Summary

Profiling the socioeconomic characteristics, dietary intake, and health status of Korean older adults for nutrition plan customization: a comparison of principal component, factor, and cluster analyses: Kyungsook Woo, Kirang Kim; Epidemiol Health. 2024;e2024043. Published online April 12, 2024; DOI: https://doi.org/10.4178/epih.e2024043 [Accepted]

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OBJECTIVES
This study was conducted to establish profiles of socioeconomic characteristics, dietary intake, and health status among Korean older adults by employing 3 multivariate analysis techniques.
METHODs
Data were obtained from 1,352 adults aged 65 years and older who participated in the 2019 Korea National Health and Nutrition Examination Survey. Principal component analysis (PCA), factor analysis (FA), and cluster analysis (CA) were utilized for profiling, with data preprocessing undertaken to facilitate these approaches.
RESULTS
PCA, FA, and CA yielded similar results, reflecting the high common variance among the variables. PCA identified 4 components, accounting for 71.6% of the accumulated variance. FA revealed 5 factors, displaying a Kaiser-Meyer-Olkin value of 0.51 and explaining 74.3% of the total variance. Finally, CA grouped the participants into 4 clusters (R2=0.465). Both PCA and FA identified dietary intake (energy, protein, carbohydrate, etc.), social support from family (incorporating family structure, number of family numbers, and engagement in social eating), and health status (encompassing oral, physical, and subjective health) as key factors. CA classified Korean older adults into 4 distinct typologies, with significant differences observed in dietary intake, health status, and household income (p<0.01).
CONCLUSIONS
The study utilized PCA, FA, and CA to analyze profiling domains and derive characteristics of older adults in Korea, followed by a comparison of the results. The variables defining the clusters in CA were consistent with those identified by PCA and FA.; Summary

Special article

Nutrition survey methods and food composition database update of the Korean Genome and Epidemiology Study: Seon-Joo Park, Jieun Lyu, Kyoungho Lee, Hae-Jeung Lee, Hyun-Young Park; Epidemiol Health. 2024;e2024042. Published online April 2, 2024; DOI: https://doi.org/10.4178/epih.e2024042 [Accepted]

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This study presents the nutrition survey methods and the updated food composition database for the Korean Genome and Epidemiology Study (KoGES). The KoGES, which is the largest and longest cohort study in Korea, aims to identify genetic and environmental factors associated with chronic diseases. This study has collected dietary data using a validated semi-quantitative food frequency questionnaire and/or the 24-hour recall method. However, these dietary survey methods use different food composition databases, and their nutritional values are out of date. Therefore, it became necessary to update the food composition database by correcting errors in nutrient analysis values to reflect improvements in the performance of food ingredient analysis equipment, revising international values to analysis values of Korean agricultural products, adjusting nutrient units, and adding newly reported nutrients related to chronic diseases. For this purpose, we integrated the different food composition databases used in each nutrition survey, updated 23 nutrients, and expanded 48 new nutrients for 3,648 food items using the latest reliable food composition databases published by national and international institutions. This revised food composition database may help to clarify the relationship between various nutrients and chronic diseases. It could serve as a valuable resource for nutritional, epidemiological, and genomic research and provide a basis for determining public health policies.; Summary

Original articles

Association of decreased estimated glomerular filtration rate with lung cancer risk in the Korean population: Soonsu Shin, Min-Ho Kim, Chang-Mo Oh, Hyejin Chun, Eunhee Ha, Hyo Choon Lee, Seong Ho Moon, Dong-Young Lee, Dosang Cho, Sangho Lee, Min Hyung Jung, Jae-Hong Ryoo; Epidemiol Health. 2024;e2024041. Published online March 20, 2024; DOI: https://doi.org/10.4178/epih.e2024041 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
Inconsistent results are available regarding the association between low estimated glomerular filtration rate (eGFR) and lung cancer risk. We aimed to explore the risk of lung cancer according to eGFR category in the Korean population.
METHODS
We included 358,293 adults who underwent health checkups between 2009 and 2010, utilizing data from the National Health Insurance Service-National Sample Cohort. Participants were categorized into 3 groups based on their baseline eGFR, as determined using the Chronic Kidney Disease Epidemiology Collaboration equation: group 1 (eGFR ≥90 mL/min/1.73m2), group 2 (eGFR ≥60 to <90mL/min/1.73m2), and group 3 (eGFR <60 mL/min/1.73m2). Incidences of lung cancer were identified using the corresponding codes from the International Classification of Diseases, 10th Revision. Multivariate Cox proportional hazard models were employed to calculate the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer incidence up to 2019.
RESULTS
In multivariate analysis, group 2 exhibited a 26.5% higher risk of developing lung cancer than group 1 (HR, 1.265; 95% CI, 1.189 to 1.346). Furthermore, group 3 demonstrated a 72.5% elevated risk of lung cancer relative to group 1 (HR, 1.725; 95% CI, 1.577 to 1.887). Among participants with dipstick proteinuria of 2+ or greater, group 3 faced a significantly higher risk of lung cancer than group 1 (HR, 2.928; 95% CI, 1.375 to 6.237).
CONCLUSION
Low eGFR was significantly associated with increased lung cancer risk within the Korean population. A particularly robust association was observed in individuals with severe proteinuria, emphasizing the need for further investigation.; Summary

Effect of the human papillomavirus vaccine on the risk of genital warts: a nationwide cohort study of South Korean adolescent girls: Jaeyoung Cho, Eun Mi Kim, Jihye Kim, Ju-Young Shin, Eui Hyeok Kim, Jong Heon Park, Seunghyun Lewis Kwon, Geun-Yong Kwon, Soon-Ae Shin, Jaiyong Kim; Epidemiol Health. 2024;e2024040. Published online March 18, 2024; DOI: https://doi.org/10.4178/epih.e2024040 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
The purpose of this study was to assess the effectiveness of human papillomavirus (HPV) vaccination administered to adolescent girls through South Korea’s National Immunization Program.
METHODS
This retrospective cohort study included individuals who were 12 to 13 years old, whether vaccinated or unvaccinated, between July 2016 and December 2017. The incidence of genital warts (GWs) was monitored through 2021. Time-stratified hazard ratios (HRs) were estimated, adjusting for birth year, socioeconomic status, and the level of urbanization of the region, and were presented with 95% confidence intervals (CIs). Data were sourced from the Immunization Registry Integration System, linked with the National Health Information Database.
RESULTS
The study included 332,062 adolescent girls, with an average follow-up period of approximately 4.6 years. Except for the first year, the HRs for the vaccinated group were lower than those for the unvaccinated group. The HRs for specific cutoff years were as follows: year 2, 0.62 (95% CI, 0.31 to 1.13); year 3, 0.58 (95% CI, 0.35 to 0.96); and year 4 and beyond, 0.39 (95% CI, 0.28 to 0.52).
CONCLUSIONS
Our findings indicate that HPV vaccination was associated with a reduction in the risk of GWs among adolescent girls. Notably, this reduction became significant as the incidence of GWs increased with age.; Summary

Unraveling trends in schistosomiasis: deep learning insights into national control programs in China: Qing Su, Cici Xi Chen Bauer, Robert Bergquist, Zhiguo Cao, Fenghua Gao, Yi Hu, Zhijie Zhang; Epidemiol Health. 2024;e2024039. Published online March 13, 2024; DOI: https://doi.org/10.4178/epih.e2024039 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
To achieve the ambitious goal of eliminating schistosome infections, the Chinese government has implemented diverse control strategies. This study explored the progress of the 2 most recent national schistosomiasis control programs in an endemic area along the Yangtze River in China.
METHODS
We obtained village-level parasitological data from cross-sectional surveys combined with environmental data in Anhui Province, China from 1997 to 2015. A convolutional neural network (CNN) based on a hierarchical integro-difference equation (IDE) framework (i.e., CNN-IDE) was used to model spatio-temporal variations in schistosomiasis. Two traditional models were also constructed for comparison with 2 evaluation indicators: the mean-squared prediction error (MSPE) and continuous ranked probability score (CRPS).
RESULTS
The CNN-IDE model was the optimal model, with the lowest overall average MSPE of 0.04 and the CRPS of 0.19. From 1997 to 2011, the prevalence exhibited a notable trend: it increased steadily until peaking at 1.6 per 1000 in 2005, then gradually declined, stabilizing at a lower rate of approximately 0.6 per 1000 in 2006, and approaching zero by 2011. During this period, noticeable geographic disparities in schistosomiasis prevalence were observed; high-risk areas were initially dispersed, followed by contraction. Predictions for the period 2012 to 2015 demonstrated a consistent and uniform decrease.
CONCLUSIONS
The proposed CNN-IDE model captured the intricate and evolving dynamics of schistosomiasis prevalence, offering a promising alternative for future risk modeling of the disease. The comprehensive strategy is expected to help diminish schistosomiasis infection, emphasizing the necessity to continue implementing this strategy.; Summary

Worsening of health disparities across COVID-19 pandemic stages in Korea: Hyejin Lee, Hyunwoo Nam, Jae-ryun Lee, Hyemin Jung, Jin Yong Lee; Epidemiol Health. 2024;e2024038. Published online March 13, 2024; DOI: https://doi.org/10.4178/epih.e2024038 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
With the end of the coronavirus disease 2019 (COVID-19) pandemic, the health outcomes of this disease in Korea must be examined. We aimed to investigate health outcomes and disparities linked to socioeconomic status during the COVID-19 pandemic in Korea and to identify risk factors for hospitalization and mortality.
METHODS
This nationwide retrospective study incorporated an analysis of individuals with and without COVID-19 in Korea between January 1, 2020, and December 31, 2022. The study period was divided into 4 stages. Prevalence, hospitalization, mortality, and case-fatality rates were calculated per 100,000 population. Multivariate logistic regression was performed to identify risk factors for COVID-19 hospitalization and mortality.
RESULTS
Overall, the incidence rate was 40,601 per 100,000 population, the mortality rate was 105 per 100,000 population, and the case-fatality rate was 259 per 100,000 cases. A total of 12,577,367 new cases (24.5%) were recorded in stage 3 and 8,979,635 cases (17.5%) in stage 4. Medical Aid recipients displayed the lowest 3-year cumulative incidence rate (32,737 per 100,000) but the highest hospitalization (5,663 cases per 100,000), mortality (498 per 100,000), and case-fatality (1521 per 100,000) rates. Male sex, older age, lower economic status, non-metropolitan area of residence, high Charlson comorbidity index, and disability were associated with higher risk of hospitalization and death. Vaccination was found to reduce mortality risk.
CONCLUSIONS
As the pandemic progressed, surges were observed in incidence, hospitalization, and mortality, exacerbating disparities associated with economic status and disability. Nevertheless, Korea has maintained a low case-fatality rate across all economic groups.; Summary

Interactions between vitamin B2, the MTRR rs1801394 and MTR rs1805087 genetic polymorphisms, and colorectal cancer risk in a Korean population: Madhawa Gunathilake, Minji Kim, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim; Epidemiol Health. 2024;e2024037. Published online March 11, 2024; DOI: https://doi.org/10.4178/epih.e2024037 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
We explored whether the association between vitamin B2 and colorectal cancer (CRC) risk could be modified by the MTRR rs1801394 and MTR rs1805087 genetic polymorphisms and examined whether the interaction effects are sex-specific.
METHODS
We performed a case‒control study involving 1,420 CRC patients and 2,840 controls from the Korea National Cancer Center. Dietary vitamin B2 intake was assessed using a semiquantitative food frequency questionnaire, and the association with CRC was evaluated. Genotyping was performed using an Illumina MEGA-Expanded Array. For gene-nutrient interaction analysis, pre-matched (1,081 patients and 2,025 controls) and matched (1,081 patients and 1,081 controls) subsets were included. Unconditional and conditional logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).
RESULTS
A higher intake of vitamin B2 was associated with a significantly lower CRC risk (OR=0.65; 95% CI, 0.51-0.82; p<0.001). Carriers of at least 1 minor allele of MTRR rs1801394 showed a significantly higher CRC risk (OR=1.43; 95% CI, 1.12-1.83). Men homozygous for the major allele (A) of MTRR rs1801394 and who had a higher intake of vitamin B2 had a significantly lower CRC risk (OR=0.31; 95% CI, 0.18-0.54; p-interaction=0.02). In MTR rs1805087, men homozygous for the major allele (A) and who had a higher vitamin B2 intake had a significantly lower CRC risk (OR=0.38; 95% CI, 0.25-0.60; p-interaction<0.001).
CONCLUSIONS
The MTRR rs1801394 and MTR rs1805087 genetic polymorphisms may modify the association between vitamin B2 and CRC risk, particularly in men. However, further studies are warranted to confirm these interaction results.; Summary

Epidemiologic investigation

Salmonellosis outbreaks linked to eggs at 2 gimbap restaurants in the Republic of Korea: Jun Suk Eun, Joohyun Han, Ji-Hyun Lim, Eunkyung Shin, Junyoung Kim, Da-Jung Ko, Jaeil Yoo, Sungil Kim, Jin Sook Kim, JungSub Park, Ji-Hyuk Park; Epidemiol Health. 2024;e2024036. Published online March 7, 2024; DOI: https://doi.org/10.4178/epih.e2024036 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
Salmonellosis outbreaks occurred at 2 restaurants 2 days apart, and an epidemiological investigation was conducted to determine whether the outbreaks were connected.
METHODS
Case studies were conducted for both outbreaks. Stool samples were collected from individuals, and food samples were collected from the restaurants. Pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing analyses were performed on outbreak-related Salmonella enterica serovar Enteritidis (Salmonella Enteritidis) isolates. Traceback investigations were also conducted for the ingredients from gimbap restaurants A and B.
RESULTS
In total, 106 people from gimbap restaurant A and 5 from gimbap restaurant B met the case definition. Salmonella Enteritidis was detected in samples from 2 food handlers, 22 patients, and 1 food (iceberg lettuce) at gimbap restaurant A and from 1 patient at gimbap restaurant B. According to PFGE, all isolates were identified as SEGX01.089. The molecular typing of all isolates showed the same pattern, and the genetic distance was close according to phylogenetic analysis. Eggs were the only food ingredient that was supplied to both gimbap restaurants.
CONCLUSIONS
The outbreaks were caused by Salmonella Enteritidis, and the source of infections was suspected to be contaminated eggs. To prevent foodborne outbreaks of Salmonella, restaurants should heat eggs sufficiently, and egg farms need to establish management systems that prevent Salmonella infections.; Summary

Original articles

Association between plant-based diets and the risk of coronary heart disease predicted using the Framingham Risk Score in Korean men: data from the HEXA cohort study: Khongorzul Ganbat, Bayarmaa Nasan Ulzii, Sangah Shin; Epidemiol Health. 2024;e2024035. Published online February 28, 2024; DOI: https://doi.org/10.4178/epih.e2024035 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
This study investigated the potential correlation between 4 plant-based diet indices and the predicted risk of coronary heart disease (CHD) in Korean men using the Framingham Risk Score.
METHODS
The study included 12,356 male participants (aged ≥40 years) from the Health Examinees Study. Dietary intake was estimated using a validated food frequency questionnaire. Four plant-based diet indices were measured, including the overall plant-based diet index, the healthy plant-based diet index (hPDI), the unhealthy plant-based diet index (uPDI), and the pro-vegetarian diet index. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for the predicted 10-year risk of CHD.
RESULTS
The study found that individuals in the highest hPDI quintile had a 19% lower risk score for CHD based on the Framingham Risk Score (model 3, HR=0.801; 95% CI, 0.689–0.930, p for trend=0.0105). In stratified analyses, the highest pro-vegetarian diet index was associated with a lower risk score for CHD in physically active individuals (HR=0.740; 95% CI, 0.588–0.931; p for interaction=0.020). Conversely, the highest uPDI was associated with the highest risk score for CHD in those with a body mass index of ≥25 kg/m² and a waist circumference ≥90 cm.
CONCLUSIONS
This prospective cohort study highlights the positive role of adhering to a high hPDI diet in the prevention of CHD in Korean men. Further prospective studies are needed to determine the association between various plant-based diet indices and the risk of CHD in Asian populations with different dietary habits.; Summary

Predictive ability of the Chinese visceral adiposity index for incident hypertension in working-aged Koreans: Ju Young Jung, Chang-Mo Oh, Hyun chul Jo, Sung Keun Park; Epidemiol Health. 2024;e2024034. Published online February 27, 2024; DOI: https://doi.org/10.4178/epih.e2024034 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
The Chinese visceral adiposity index (CVAI) was developed to assess visceral adipose tissue in the Asian population. This study evaluated the predictive ability of the CVAI for incident hypertension in Korean adults.
METHODS
The study participants included 128,577 Koreans without hypertension. They were grouped in quartiles according to body mass index (BMI), waist circumference (WC), visceral adipose index (VAI), and CVAI values. The Cox proportional hazard assumption was used to evaluate the hazard ratio (HR) and 95% confidence interval (CI) for incident hypertension (adjusted HR [95% CI]) according to quartile level across a follow-up period of 6.9 years. Subgroup analyses were conducted by gender and obesity. The area under the curve was calculated to compare the predictive abilities of all indices (BMI, WC, VAI, and CVAI) for incident hypertension.
RESULTS
The CVAI was proportionally associated with the risk of hypertension in all participants (quartile 1, reference; quartile 2, 1.71 [1.59–1.82]; quartile 3, 2.41 [2.25–2.58]; and quartile 4, 3.46 [3.23–3.71]). Time dependent receiver operating characteristic curve analysis indicated that the CVAI was superior to BMI, WC, and VAI in predicting hypertension at the 2-year, 4-year, 6-year and 8-year follow-ups. This finding was also observed in the gender and obesity subgroups. The predictive ability of the CVAI was greater in the women and non-obese subgroups than in the men and obese subgroups.
CONCLUSIONS
The CVAI was a stronger predictor of hypertension than BMI, WC, and VAI.; Summary

Influence of practice location on prescribing, diabetes care, and colorectal cancer screening among Czech general practitioners during the COVID-19 pandemic: Jan Bělobrádek, Luděk Šídlo, Tom Philipp; Epidemiol Health. 2024;e2024033. Published online February 23, 2024; DOI: https://doi.org/10.4178/epih.e2024033 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
The provision of primary health care was not interrupted during the coronavirus disease 2019 (COVID-19) pandemic in Czechia, although the capacity and resources of providers changed. We examined how the pandemic affected individual general practices throughout 2017‒2021, focusing on differences between urban and rural practices.
METHODS
We analysed data from the largest health insurance company in Czechia, which provides care to 4.5 million people (60% of the population). We evaluated the prescription volume, diabetes care procedures, and faecal immunochemical test (FIT) in preventive care and new pandemic-related procedures (remote consultations, testing, and vaccinations). For the spatial distribution of practices, we adapted the Organisation for Economic Co-operation and Development typology.
RESULTS
We observed minimal declines in 2020 in the rate of prescribing (-1%) and diabetes care (-5.1%), with a rapid resumption in 2021, but a substantial decline in FIT (-17.8% in 2020) with slow resumption. Remote consultations were used by 94% of all practices regardless of location, with testing and vaccinations more commonly performed by rural general practitioners.
CONCLUSIONS
Primary care in Czechia rose to the challenge of the COVID-19 pandemic, as shown by the finding that the volume of healthcare services provided through primary care did not decrease across most of the monitored parameters. This study also confirmed that rural GPs provide more care in-house, both in terms of prescribing and procedures performed in their practices. Future studies will need to focus on preventive care, which the pandemic has dampened in GP practices in Czechia.; Summary

Brief communication

Assessing the impact and implications of the revised Act on the Aggravated Punishment of Specific Crimes in preventing child traffic injuries in school zones: an interrupted time series analysis: Hong Jin Ku, Jin-Hwan Kim, Young June Choe, Seung Ah Choe, Mark R. Zonfrillo; Epidemiol Health. 2024;e2024032. Published online February 21, 2024; DOI: https://doi.org/10.4178/epih.e2024032 [Accepted]

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Abstract PDF: Abstract
In 2019, a child's death in Korea led to stricter penalties for school zone traffic violations. We assessed the impact using 2017-2022 Traffic Accident Analysis System data. Adjusted analyses revealed a decline in severe injuries in school zones (11 → 8 cases per month, P=0.017). Legislation correlated with reduced risk of all child traffic injuries (RR=0.987, 95% CI, 0.977-0.997, P=0.002), indicating efficacy in curbing accidents.; Summary

Original article

Association of insomnia and daytime napping with metabolic syndrome and its components in a Korean population: an analysis of data from the Korean Genome and Epidemiology Study: Da-Been Lee, DAE WUI YOON, Inkyung Baik; Epidemiol Health. 2024;e2024031. Published online February 20, 2024; DOI: https://doi.org/10.4178/epih.e2024031 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
We investigated the association between metabolic syndrome (MetS) and the coexistence of insomnia and daytime napping, because limited data have been reported regarding this association.
METHODS
The study population was 8,440 participants aged 40-65 years, who were from the Korean Genome and Epidemiology Study. Self-reported information on insomnia symptoms and nap duration was used to define exposure variables. Data on waist circumference (WC), blood pressure (BP), and fasting blood glucose (FBG), triglyceride (TG) and high-density lipoprotein cholesterol levels in blood were used to define MetS. Multivariate logistic regression analysis was performed to obtain odds ratio (OR) and 95% confidence interval (CI).
RESULTS
In multivariate logistic regression analysis, the coexistence of insomnia and napping was not significantly associated with MetS. However, the insomnia and non-napping group showed higher ORs of high TG (OR=1.19; 95% CI, 1.02-1.39) and high BP (OR=1.28; 95% CI, 1.10-1.49) than the non-insomnia and non-napping group. The combination of non-insomnia and napping and that of insomnia and napping showed higher ORs of high TG (OR=1.13; 95% CI, 1.00-1.29) and high FBG (OR=1.59; 95% CI, 1.14-2.21), respectively. In analyses of insomnia symptoms, only the combination of difficulty in maintaining sleep (DMS) and non-napping showed a higher OR for MetS (OR=1.25; 95% CI, 1.03-1.52) than the non-DMS and non-napping group.
CONCLUSIONS
Individuals with insomnia, particularly those who do not take naps, were disproportionately likely to have MetS components, especially TG or BP. Information on these variables may help predict individuals’ vulnerability to specific MetS components.; Summary

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