Epidemiology and Health

Cohort profile

Cohort profile: the Taiwan Initiative for Geriatric Epidemiological Research - a prospective cohort study on cognition: Pei-Iun Hsieh, Te-Hsuan Huang, Jeng-Min Chiou, Jen-Hau Chen, Yen-Ching Chen; Epidemiol Health. 2024;e2024057. Published online June 25, 2024; DOI: https://doi.org/10.4178/epih.e2024057 [Accepted]

484 View
80 Download

Abstract PDF: Abstract
OBJECTIVES
The Taiwan Initiative for Geriatric Epidemiological Research (TIGER) was founded in 2011 to elucidate the interrelationships among various predictors of global and domain-specific cognitive impairment, with the aim of identifying older adults with an increased risk of dementia in the preclinical phase.
METHODS
TIGER, a population-based prospective cohort, recruited 605 older adults (aged 65 and above) at baseline (2011-2013). Participants have undergone structured questionnaires, global and domain-specific cognitive assessments, physical exams, and biological specimen collections at baseline and biennial follow-ups to date.
RESULTS
By 2022, TIGER has included 4 biennial follow-ups, with the participants comprising 53.9% women and having a mean age of 73.2 years at baseline. After an 8-year follow-up, the annual attrition rate was, reflecting a combination of 9.9% of participants who passed away and 36.2% who dropped out. TIGER has published novel and multidisciplinary research on cognitive-related outcomes in older adults, including environmental exposures (indoor and ambient air pollution), multimorbidity, sarcopenia, frailty, biomarkers (brain and retinal images, renal and inflammatory markers), and diet.
CONCLUSIONS
TIGER’s meticulous design, multidisciplinary data, and novel findings elucidate the complex etiology of cognitive impairment and frailty, offering valuable insights into factors that can be used to predict and prevent dementia in the preclinical phase.; Summary

Systematic review

Tea consumption and the risks of all-cause, cardiovascular disease, and cancer mortality: a meta-analysis of 38 prospective cohort data sets: Youngyo Kim, Youjin Je; Epidemiol Health. 2024;e2024056. Published online June 21, 2024; DOI: https://doi.org/10.4178/epih.e2024056 [Accepted]

172 View
10 Download

Abstract PDF: Abstract
OBJECTIVES
Tea consumption has been considered beneficial to human health because tea contains phytochemicals such as polyphenols and theaflavins. We conducted a systematic review and meta-analysis on the association between tea consumption and mortality from all causes, cardiovascular disease (CVD), and cancer to provide a quantitative assessment of current evidence.
METHODS
The PubMed, Web of Science, and Scopus databases were searched through April 2024 to identify eligible studies. Random effects models were used to combine study-specific effect estimates (ESs).
RESULTS
A total of 38 prospective cohort data sets (from 27 papers) with 1,956,549 participants were included in this meta-analysis. The pooled ESs of the highest versus lowest categories of tea consumption were 0.90 (95% CI, 0.86-0.95) for all-cause mortality, 0.86 (95% CI, 0.79-0.94) for CVD mortality, and 0.90 (95% CI, 0.78-1.03) for cancer mortality. In the dose-response analysis, a nonlinear association was observed. The greatest risk reductions were observed for the consumption of 2 cups/day for all-cause mortality (ES, 0.91; 95% CI, 0.88-0.94) and 1.5 cups/day for cancer mortality (ES, 0.92; 95% CI, 0.89-0.96), whereas additional consumption did not show a further reduction in the risk of death. A plateau was observed for CVD mortality at moderate consumption levels (1.5–3 cups/day), but a sustained reduction in mortality risk was observed at higher intake levels.
CONCLUSIONS
Moderate tea consumption (e.g., 1.5–2 cups/day) was associated with lower all-cause, CVD, and cancer mortality compared to no tea consumption. Further well-designed prospective studies are needed for a definitive conclusion.; Summary

Original article

Comparison of HIV characteristics across 3 datasets: the Korea HIV/AIDS Cohort Study Prospective, Retrospective, and National Reporting System: Yunsu Choi, Jun Yong Choi, Bo Youl Choi, Bo Young Park, Shin-Woo Kim, Joon Young Song, Jung Ho Kim, Sang Il Kim; Epidemiol Health. 2024;e2024055. Published online June 18, 2024; DOI: https://doi.org/10.4178/epih.e2024055 [Accepted]

224 View
15 Download

Abstract PDF: Abstract
OBJECTIVES
The Korea HIV/AIDS Cohort Study has been conducted prospectively for 18 years. However, it faces limitations in representing the entire population of patients with HIV in Korea. To address these limitations and validate the study design, we analyzed characteristics across several HIV datasets.
METHODS
We compared epidemiological and clinical characteristics from 3 datasets: the Korea HIV/AIDS Cohort Study (dataset 1, n=1,562), retrospective cohort data (dataset 2, n=2,665), and the national HIV reporting system of the Korea Disease Control and Prevention Agency (KDCA) (dataset 3, n=17,403).
RESULTS
The demographic characteristics of age, sex, and age at HIV diagnosis did not differ significantly across datasets. However, dataset 3 contained a higher percentage of patients diagnosed after 2008 (69.5%) than the other datasets. Regarding transmission routes, same-sex contact accounted for a greater proportion of dataset 1 (59.8%) compared to datasets 2 (20.9%) and 3 (32.6%). The percentage of patients with CD4 T-cell counts below 200/mm3 at HIV diagnosis was higher in datasets 1 (39.4%) and 2 (33.3%) compared to dataset 3 (16.3%). Initial HIV viral load measurements were not obtained for dataset 3.
CONCLUSIONS
The Korea HIV/AIDS Cohort Study demonstrated representativeness regarding the demographic characteristics of Korean patients. Of the sources, dataset 1 contained the most data on transmission routes. While the KDCA data encompassed all HIV patients, it lacked detailed clinical information. To improve the representativeness of the Korea HIV/AIDS Cohort Study, we propose expanding and revising the cohort design and enrolling more patients who have been recently diagnosed.; Summary

Cohort profile

Cohort profile: understanding health service system needs for people with intellectual disability using linked data in New South Wales, Australia: Simone Reppermund, Preeyaporn Srasuebkul, Claire M Vajdic, Sallie Pearson, Rachael E Moorin, Julian N Trollor; Epidemiol Health. 2024;e2024054. Published online June 12, 2024; DOI: https://doi.org/10.4178/epih.e2024054 [Accepted]

333 View
28 Download

Abstract PDF: Abstract
This cohort profile describes one of the largest linked datasets in the world concerning the health of people with intellectual disability. The cohort comprises a retrospective group of 100,089 individuals with intellectual disability who received disability and/or health services in New South Wales, Australia. Of these participants, 34% were female, with a median age at cohort entry of 3 years (interquartile range, 0 to 19 years). A separate comparator cohort included 455,677 individuals, matched by 5-year age group, sex, and residential postcode at a 5:1 ratio. Initial results indicate that between 2001 and 2018, people with intellectual disability experienced more than double the rate of hospitalisations (538 versus 235 per 1000 person-years), as well as markedly higher rates of emergency department presentations (707 versus 379 per 1000 person-years) and use of ambulatory mental health services (1012 versus 157 per 1000 person-years), relative to the comparator cohort. The largest disparities in hospital admissions were for mental disorders, dialysis, and diseases of the nervous system and sense organs. Furthermore, individuals with intellectual disability had more than double the rate of dispensed medications found in the comparator cohort. Of these medications, 46.6% were for the treatment of nervous system conditions, as opposed to 24.7% for the comparator cohort. The mean age at death was 52 years (standard deviation [SD], 19 years) for people with intellectual disability and 64 years (SD, 22 years) for the comparator participants.; Summary

Original articles

Seasonal impact of diurnal temperature range on intracerebral hemorrhage in middle-aged and elderly people in central China: Shiwen Wang, Jinyu Yin, Hao Zhou, Jingmin Lai, Guizheng Xiao, Zhuoya Tong, Jing Deng, Fang Yang, Qianshan Shi, jingcheng shi; Epidemiol Health. 2024;e2024053. Published online June 11, 2024; DOI: https://doi.org/10.4178/epih.e2024053 [Accepted]

174 View
0 Download

Abstract: Abstract
OBJECTIVES
This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults.
METHODS
We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag nonlinear model.
RESULTS
Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a nonlinear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period.
CONCLUSIONS
The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.; Summary

Inequality in dental flossing behavior among Korean adults based on household income levels: Zi-Lan Wang, Eun-Jae Choi, Seung-Hee Ryu, Seon-Jip Kim, Hyun-Jae Cho; Epidemiol Health. 2024;e2024052. Published online May 24, 2024; DOI: https://doi.org/10.4178/epih.e2024052 [Accepted]

672 View
22 Download

Abstract PDF: Abstract
OBJECTIVES
The aim of this study was to estimate the association between household income and dental flossing.
METHODS
This cross-sectional study investigated the impact of household income on flossing among 9,391 adults aged 30+ with ≥20 natural teeth, utilizing data from the seventh Korea National Health and Nutrition Examination Survey (2016-2018). Outcome measures included flossing (yes/no), with income categorized into 4 levels: lowest, medium to low, medium to high, and highest. Logistic regression, adjusted for age, gender, brushing frequency, recent dental exams, periodontitis, smoking, and alcohol use, was employed to evaluate the influence of socioeconomic status on oral hygiene practices.
RESULTS
In the highest income group, flossing was 62.6% more prevalent than in the lowest income group (adjusted odds ratio [aOR], 1.63; 95% CI, 1.27-2.08). The strongest association between income levels and flossing was observed in individuals aged ≥70 years (aOR, 3.64; 95% CI, 1.86-7.11), with a decreasing strength of association in the 60s (aOR, 1.72; 95% CI, 1.05-2.84) and 50s age groups (aOR, 1.69; 95% CI, 1.07-2.68). Higher-income women demonstrated a higher frequency of flossing than their lower-income counterparts (aOR, 1.67; 95% CI, 1.24-2.23). Higher-income individuals without periodontitis were more likely to floss (aOR, 1.64; 95% CI, 1.23-2.18), and among those with periodontitis, flossing was significantly associated only with the highest income category (aOR, 1.64; 95% CI, 1.10-2.44).
CONCLUSIONS
The findings of this study indicate a significant correlation between higher household income levels and an increased prevalence of flossing.; Summary

Dietary mercury intake, the IL23R rs10889677 polymorphism, and the risk of gastric cancer: a hospital-based case-control study: Ji Hyun Kim, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim; Epidemiol Health. 2024;e2024051. Published online May 21, 2024; DOI: https://doi.org/10.4178/epih.e2024051 [Accepted]

746 View
0 Download

Abstract: Abstract
OBJECTIVES
Mercury can stimulate immune responses through T helper 17 (Th17). The gene IL23R is a key factor in Th17 function, which may also contribute to digestive tract diseases. The aim of this study was to observe the associations between dietary mercury and gastric cancer (GC) and to investigate whether the IL23R rs10889677 polymorphism modifies those associations.
METHODS
This case-control study included 377 patients with GC and 756 healthy controls. Dietary mercury intake (total mercury and methylmercury) was assessed using a dietary heavy metal database incorporated into the food frequency questionnaire. IL23R genetic polymorphism rs10889677 (A>C) was genotyped. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using unconditional logistic regression models with adjustments for potential confounders.
RESULTS
A higher dietary methylmercury intake was associated with an elevated risk of GC (OR for the highest versus lowest tertile [T3 vs. T1]=2.02; 95% CI, 1.41–2.91; p for trend <0.001). The IL23R rs10889677 reduced the risk of GC in individuals who carried at least 1 minor allele (OR=0.62; 95% CI, 0.46–0.83; p=0.001; AC/CC vs. AA). Individuals with a C allele exhibited a lower susceptibility to GC through methylmercury intake than those with the AA genotype (OR for the T3 of methylmercury and AA carriers=2.93; 95% CI, 1.77–4.87; and OR for the T3 of methylmercury and AC/CC genotype=1.30; 95% CI, 0.76–2.21; p-interaction=0.013).
CONCLUSIONS
Our findings suggest that a genetic polymorphism, rs10889677 in IL23R, plays a role in modifying the association between dietary methylmercury intake and the risk of GC.; Summary

Methods

Expansion of a food composition database for the food frequency questionnaire in the Korean Genome and Epidemiology Study (KoGES): a comprehensive database of dietary antioxidants and total antioxidant capacity: Jiseon Lee, Ji-Sook Kong, Hye Won Woo, Mi Kyung Kim; Epidemiol Health. 2024;e2024050. Published online May 10, 2024; DOI: https://doi.org/10.4178/epih.e2024050 [Accepted]

900 View
23 Download

Abstract PDF: Abstract
OBJECTIVES
This study constructed a comprehensive database of dietary antioxidants and total antioxidant capacity (TAC) to facilitate the estimation of daily antioxidant intake using a food frequency questionnaire (FFQ). This database was applied to 3 general population-based cohorts (n=195,961) within the Korean Genome and Epidemiology Study (KoGES).
METHODS
To establish a database of 412 foods derived from recipes of a 106-item FFQ, we followed a pre-established standardized protocol. This included the selection of source databases, matching of foods, substitution of unmatched items with identical foods and input of values, and assessment of coverage. For each food, the TAC was estimated by summing the individual antioxidant capacities, calculated by multiplying the amount of each antioxidant by its vitamin C equivalent antioxidant capacity.
RESULTS
We identified 48 antioxidants across 5 classes: retinol, carotenoids, vitamins C and E, and flavonoids, with flavonoids divided into 7 subclasses. TAC values were then established. Coverage exceeded 90.0% for retinol, carotenoids, vitamin C, and vitamin E, while coverage for flavonoids was 60.9%. The daily intakes of 4 antioxidant classes—all but vitamin E—were higher in women than in men. The Ansan-Ansung cohort exhibited the highest levels of dietary TAC, vitamin E, and flavonoids, while the Health Examinees Study cohort displayed the highest values for retinol, carotenoids, and vitamin C.
CONCLUSIONS
We customized a comprehensive antioxidant database for the KoGES FFQ, achieving relatively high coverage. This expansion could support research investigating the impact of dietary antioxidants on the development of chronic diseases targeted by the KoGES.; Summary

Original article

Association of healthy lifestyle factors with the risk of hypertension, dyslipidemia, and their comorbidity in Korea: results from the Korea National Health and Nutrition Examination Survey 2019–2021: Ji-Sook Kong, Mi Kyung Kim; Epidemiol Health. 2024;e2024049. Published online May 1, 2024; DOI: https://doi.org/10.4178/epih.e2024049 [Accepted]

1,339 View
30 Download

Abstract PDF: Abstract
OBJECTIVES
We investigated the association of individual healthy lifestyle factors (HLFs) and their combined healthy lifestyle score (HLS) with hypertension and/or dyslipidemia.
METHODS
We analyzed data from 10,693 adults aged ≥19 from the 2019 to 2021 Korea National Health and Nutrition Examination Survey. HLS was evaluated based on smoking status, alcohol consumption, body mass index (BMI), diet, and physical activity. Using logistic regression models, we estimated odds ratios (ORs) with 95% confidence intervals (CIs) to evaluate the associations of HLFs and HLS with hypertension, dyslipidemia, and their comorbidity.
RESULTS
The prevalence of hypertension alone, dyslipidemia alone, and their comorbidity was 8.69%, 24.6%, and 15.0%, respectively. Multivariable models showed an inverse association of hypertension (OR, 0.37; 95% CI; 0.30–0.46) and dyslipidemia (OR, 0.36; 95% CI, 0.32–0.41) with healthy BMI. Hypertension was inversely associated with healthy alcohol consumption (OR, 0.46; 95% CI, 0.35–0.61) and diet (OR, 0.79; 95% CI, 0.63–0.99), whereas dyslipidemia was inversely associated with non-smoking (OR, 0.51; 95% CI, 0.43–0.60). Physical activity was inversely associated with their comorbidity (OR, 0.69; 95% CI, 0.56–0.85). Adherence to HLS was associated with significantly lower odds of hypertension (81%), dyslipidemia (66%), and their conditions (89%) (all ptrend<0.001). Stratified analyses consistently showed inverse associations between HLS and hypertension and/or dyslipidemia independently of demographic factors (pinteractions>0.05).
CONCLUSIONS
HLFs were associated with lower risk for hypertension and/or dyslipidemia. Obesity may contribute significantly to the risk of these conditions, while relevant HLFs for individual chronic diseases may vary significantly.; Summary

Cohort profile

Korea Nurses’ Health Study and the health of reproductive-aged women: a cohort profile: Chiyoung Cha, Heeja Jung, Sue Kim, Jung Eun Lee, Kwang-Pil Ko, Eunyoung Cho, Hyun-Young Park, Joong-Yeon Lim, Bo Mi Song, Sihan Song, Soojin Park, Aram Cho; Epidemiol Health. 2024;e2024048. Published online April 30, 2024; DOI: https://doi.org/10.4178/epih.e2024048 [Accepted]

1,029 View
47 Download

Abstract PDF: Abstract
The Korea Nurses’ Health Study (KNHS) is an ongoing, large-scale, prospective cohort study of female nurses, focusing on the effects of occupational, environmental, and lifestyle factors on the health of women. The first KNHS survey was performed in 2013–2014 (n=20,613). As of December 2023, 11 follow-up surveys have been conducted. Participants who were pregnant were asked to participate in the early pregnancy survey (n=2,179) and postpartum survey after giving birth (n=2,790). The main variables included sociodemographic, work-related, lifestyle, physical, mental, and women’s health factors. Blood, urine, and toenail samples were collected from a participant subgroup of the first survey (n=1,983). The subgroups of the second survey completed a food frequency questionnaire in 2019 (n=300) and 2021 (n=871). In 2020, a subgroup of the first survey answered a coronavirus disease 2019 (COVID-19)-related survey (n=975). To examine various health-related factors in young adults, new participants were added to the KNHS cohort in the 11th (n=1,000) and 12th (n=1,002) surveys. The KNHS cohort will help identify health and illness determinants in Korean women. Data can be accessed at https://coda.nih.go.kr/frt/index.do.; Summary

Systematic review

Handgrip strength thresholds associated with metabolic syndrome risk in children and adolescents: a systematic review and meta-analysis: Hye Ah Lee, Seunghee Jun, Hyesook Park; Epidemiol Health. 2024;e2024047. Published online April 24, 2024; DOI: https://doi.org/10.4178/epih.e2024047 [Accepted]

985 View
35 Download

Abstract PDF: Abstract
OBJECTIVES
Certain studies have reported that handgrip strength (HGS) is associated with metabolic health risks in children and adolescents, and some studies have suggested HGS thresholds for identifying poor metabolic health. Therefore, we aimed to determine the HGS thresholds associated with metabolic syndrome (MetS) in children and adolescents through a systematic review.
METHODS
We searched 3 electronic databases from their inception until October 2023 to identify original papers that focused on children and adolescents and assessed their risks of MetS according to specific HGS values. Studies were selected for inclusion through a planned screening process based on specific criteria. The Quality Assessment Tool for Diagnostic Accuracy Studies v2 (QUADAS-2) was used to evaluate quality, and a meta-analysis was performed using the diagmeta R package to suggest the optimal thresholds.
RESULTS
From the search, 8 studies were selected for this systematic review. For detecting MetS risk, the optimal threshold for HGS (defined as relative HGS by adjusting for body mass) was found to be 0.422, with a sensitivity of 76.7% (95% confidence interval [CI], 64.0% to 85.8%) and a specificity of 62.9% (95% CI, 56.9% to 68.5%). The stratification analysis by sex resulted in optimal thresholds of 0.416 for boys and 0.376 for girls. Additionally, when the data were stratified by age, the thresholds were 0.356 for children and 0.416 for adolescents.
CONCLUSIONS
Our results provide practical information for detecting high-risk groups and encouraging strength-related activities that may reduce the risk of MetS in children and adolescents.; Summary

Original Article

Causal effect of serum matrix metalloproteinase levels on venous thromboembolism: a Mendelian randomization study: Deheng Han, Fangcong Yu, Liangrong Zheng; Epidemiol Health. 2024;46:e2024046. Published online April 24, 2024; DOI: https://doi.org/10.4178/epih.e2024046

1,066 View
95 Download

Abstract PDF: Abstract
OBJECTIVES
Serum matrix metalloproteinase (MMP) levels are associated with cardiovascular diseases. However, the causal associations between serum levels of specific MMPs and venous thromboembolism (VTE) remain unclear. The present study sought to explore the causal relationship between serum MMP levels and VTE by using the Mendelian randomization (MR) method.
METHODS
In this study 2-sample MR study, the exposure data on serum MMP levels were derived from genome-wide association studies involving 21,758 individuals from 13 cohorts of European descent. The outcome data on VTE, including deep vein thrombosis and pulmonary embolism, were derived from the FinnGen research project. The primary method used was the inverse-variance weighting method. The MR-Egger intercept test and the Cochran Q test were used to evaluate pleiotropy and heterogeneity.
RESULTS
Using the inverse-variance weighting method, higher serum MMP-12 levels were found to be associated with an increased risk of VTE (odds ratio, 1.04; 95% confidence interval, 1.01 to 1.07; p=0.001). Moreover, there was a weak association between the levels of certain MMPs and VTE. Sensitivity analyses revealed no significant heterogeneity and pleiotropy in our study, and the Steiger directionality test did not reveal a significant reverse causation association.
CONCLUSIONS
There is a causal association between MMP-12 levels and VTE, which may have substantial implications for the diagnostic and therapeutic strategies used for VTE.; Summary

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]

1,072 View
27 Download

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]

703 View
34 Download

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]

852 View
36 Download

Abstract PDF: Abstract
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

First
Prev
Page of 97
Next
Last

Article category