Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse articles > Author index
Search
Ho Kim 5 Articles
Comparison of estimates and time series stability of Korea Community Health Survey and Korea National Health and Nutrition Examination Survey
Ji Son Ki, Ho Kim
Epidemiol Health. 2019;41:e2019012.   Published online April 7, 2019
DOI: https://doi.org/10.4178/epih.e2019012
  • 12,658 View
  • 279 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
In South Korea, there are two nationwide health surveys conducted by the Korea Centers for Disease Control and Prevention: the Korea Community Health Survey (KCHS) and Korea National Health and Nutrition Examination Survey (KNHANES). The two surveys are directly comparable, as they have the same target population with some common items, and because both surveys are used in various analyses, identifying the similarities and disparities between the two surveys would promote their appropriate use. Therefore, this study aimed to compare the estimates of six variables in KCHS and eight variables in KNHANES over a six-year period and compare time series stability of region-specific and sex- and age-specific subgroup estimates.
METHODS
Data from adults aged 19 years or older in the 2010-2015 KCHS and KNHANES were examined to analyze the differences of estimates and 95% confidence interval for self-rated health, current smoking rate, monthly drinking rate, hypertension diagnosis rate, diabetes diagnosis rate, obesity prevalence, hypertension prevalence, and diabetes prevalence. The variables were then clustered into subgroups by city as well as sex and age to assess the time series stability of the estimates based on mean square error.
RESULTS
With the exception of self-rated health, the estimates taken based on questionnaires, namely current smoking rate, monthly drinking rate, hypertension diagnosis rate, and diabetes diagnosis rate, only differed by less than 1.0%p for both KCHS and KNHANES. However, for KNHANES, estimates taken from physical examination data, namely obesity prevalence, hypertension prevalence, and diabetes prevalence, differed by 1.9-8.4%p, which was greater than the gap in the estimates taken from questionnaires. KCHS had a greater time series stability for subgroup estimates than KNHANES.
CONCLUSIONS
When using the data from KCHS and KNHANES, the data should be selected and used based on the purpose of analysis and policy and in consideration of the various differences between the two data.
Summary
Korean summary
본 연구는 지역사회건강조사와 국민건강영양조사의 2010년부터 2015년까지 6년간의 자료로 각각 6개, 8개 변수의 추정치를 비교하였다. 설문변수 간의 추정치 차이보다 설문변수와 검진변수간의 추정치의 더 차이가 컸고 하위그룹별 시계열 변동은 지역사회건강조사가 더 안정적이었다.

Citations

Citations to this article as recorded by  
  • Variability Test of Estimates of Korea Community Health Survey Data in Gyeongsangnam-do (2008-2018)
    Youngjun Seon, Baekgeun Jeong, Boyeong Jin, Zunghun Lim, Changjin Cho, Youngeun Son, Dong Wook Kim
    Journal of Health Informatics and Statistics.2023; 48(3): 281.     CrossRef
  • Measurement of physical activity and sedentary behavior in national health surveys, South America
    Danilo R. Silva, Luciana L. Barboza, Se-Sergio Baldew, Cecilia Anza-Ramirez, Robinson Ramírez-Vélez, Felipe B. Schuch, Thayse N. Gomes, Kabir P. Sadarangani, Antonio García-Hermoso, Ramfis Nieto-Martinez, Gerson Ferrari, J. Jaime Miranda, André O. Werneck
    Revista Panamericana de Salud Pública.2022; 46: 1.     CrossRef
  • Differences in accuracy of height, weight, and body mass index between self-reported and measured using the 2018 Korea Community Health Survey data
    Yoonsil Ko, Sunhye Choi, Jisoo Won, Yeon-Kyeng Lee, Dong-Hyun Kim, Seon Kui Lee
    Epidemiology and Health.2022; 44: e2022024.     CrossRef
Estimating causal associations of atopic dermatitis with depression using the propensity score method: an analysis of Korea Community Health Survey data, 2010-2013
Hayon Michelle Choi, Dahye Kim, Whanhee Lee, Ho Kim
Epidemiol Health. 2018;40:e2018059.   Published online November 29, 2018
DOI: https://doi.org/10.4178/epih.e2018059
  • 12,189 View
  • 186 Download
  • 8 Web of Science
  • 6 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Numerous studies have reported associations between atopic dermatitis (AD) and depression, but the causal relationship between the 2 diseases has not been established. Therefore, this study used the propensity score method to investigate whether there was a positive causal effect of AD on depression in 16 regions (cities and provinces) in Korea.
METHODS
The study analyzed 16 regions (cities and provinces) in Korea, using data obtained from the Korea Community Health Survey for the years 2010-2013. Propensity score matching was used to estimate the causal influence of AD on depression in Korea.
RESULTS
After propensity score matching, the standardized difference for each covariate among the 16 regions (cities and provinces) was less than 1, indicating a balance between the case and control groups. At the national level, those diagnosed with AD had a 2.31 times higher risk for being diagnosed with depression than those who had not been diagnosed with AD. In particular, the risk was highest in North Jeolla Province (odds ratio [OR], 4.87; 95% confidence interval [CI], 2.28 to 10.43) and lowest in Gwangju (OR, 1.82; 95% CI, 0.87 to 3.79), and the OR for Seoul was 2.23 (95% CI, 1.66 to 2.99).
CONCLUSIONS
This study provides insights into how causal inferences can be derived from observational studies, through an analysis of Korea Community Health Survey data. Furthermore, the study results have implications for region-specific guidelines for preventive health policies targeting depression.
Summary
Korean summary
성향 점수 매칭을 이용하여 전국 및 16개 시/도 별 아토피 피부염과 우울증 사이의 인과성을 추정한 결과, 전국에서 아토피 피부염을 진단 받은 사람이 진단 받지 않은 사람들에 비해 우울증 위험도가 2.38배 높았다(CI: 1.29-4.38).

Citations

Citations to this article as recorded by  
  • Epidemiology of mental health comorbidity in patients with atopic dermatitis: An analysis of global trends from 1998 to 2022
    Xiao‐ce Cai, Si‐han Wang, Chun‐xiao Wang, Liu Liu, Jiao Wang, Yu‐hong Shen, Xin Li
    Journal of the European Academy of Dermatology and Venereology.2024; 38(3): 496.     CrossRef
  • Analysis of Quality of Life and Mental Health in Patients With Atopic Dermatitis, Asthma and Allergic Rhinitis Using a Nation-wide Database, KNHANES VII
    Gyu Na Lee, Ha Yeh Rin Koo, Kyungdo Han, Young Bok Lee
    Allergy, Asthma & Immunology Research.2022; 14(2): 273.     CrossRef
  • Eczema is a shared risk factor for anxiety and depression: A meta-analysis and systematic review
    Qing Long, Hongxia Jin, Xu You, Yilin Liu, Zhaowei Teng, Yatang Chen, Yun Zhu, Yong Zeng, Dong Keon Yon
    PLOS ONE.2022; 17(2): e0263334.     CrossRef
  • Impairment of Quality of Life and Mental Health Status in Adult-Onset Atopic Dermatitis
    Juhwan Yoo, Ha Yeh Rin Koo, Kyungdo Han, Young Bok Lee
    Annals of Dermatology.2022; 34(4): 278.     CrossRef
  • Combined Oral and Topical Application of Pumpkin (Cucurbita pepo L.) Alleviates Contact Dermatitis Associated With Depression Through Downregulation Pro-Inflammatory Cytokines
    Maha Jameal Balgoon, Maryam H. Al-Zahrani, Soad Al Jaouni, Nasra Ayuob
    Frontiers in Pharmacology.2021;[Epub]     CrossRef
  • Association of atopic dermatitis with suicide risk among 788,411 adolescents
    Yechan Kyung, Min Hwan Choi, Yoo Jung Jeon, Ju Suk Lee, Jun Hwa Lee, Seon Hui Jo, Sung Hoon Kim
    Annals of Allergy, Asthma & Immunology.2020; 125(1): 55.     CrossRef
The association between smoking or passive smoking and cardiovascular diseases using a Bayesian hierarchical model: based on the 2008-2013 Korea Community Health Survey
Whanhee Lee, Sung-Hee Hwang, Hayoung Choi, Ho Kim
Epidemiol Health. 2017;39:e2017026.   Published online June 22, 2017
DOI: https://doi.org/10.4178/epih.e2017026
  • 17,592 View
  • 411 Download
  • 23 Web of Science
  • 46 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Smoking and passive smoking have been extensively reported as risk factors of cardiovascular morbidity and mortality. Despite the biological mechanisms underlying the impact of hazardous chemical substances contained in tobacco in cardiovascular diseases (CVD), studies investigating the association between smoking and passive smoking with morbidity are at an inchoate stage in Korea. Therefore, this study aimed to estimate the risks of smoking and passive smoking on cardiovascular morbidity at the national and regional levels.
METHODS
This study calculated sex-standardized and age-standardized prevalence of CVD and smoking indices in 253 community health centers (si/gun/gu) in Korea using the 2008-2013 Korea Community Health Survey data. Furthermore, a Bayesian hierarchical model was used to estimate the association of smoking and passive smoking with the prevalence of CVD from the national and regional community health centers.
RESULTS
At the national level, smoking was significantly associated with stroke (relative risk [RR], 1.060) and hypertension (RR, 1.016) prevalence, whilst passive smoking at home and work were also significantly associated with prevalence of stroke (RR, 1.037/1.013), angina (RR, 1.016/1.006), and hypertension (RR, 1.010/1.004). Furthermore, the effects of smoking and passive smoking were greater in urban-industrial areas than in rural areas.
CONCLUSIONS
The findings of this study would provide grounds for national policies that limit smoking and passive smoking, as well as regionally serve as the basis for region-specific healthcare policies in populations with high CVD vulnerability.
Summary
Korean summary
베이지안 계층화 방법을 이용하여 흡연 및 간접 흡연과 심혈관계 질환 유병의 전국 및 시/군/구별 연관성을 추정한 결과, 흡연은 뇌졸중 (RR=1.060) 과 고혈압 (RR=1.016) 유병에 유의하게 연관되었다.

Citations

Citations to this article as recorded by  
  • Environments affect blood pressure in toddlers: The Japan Environment and Children’s Study
    Keita Kanamori, Tomohisa Suzuki, Nozomi Tatsuta, Chiharu Ota, Michihiro Kamijima, Shin Yamazaki, Yukihiro Ohya, Reiko Kishi, Nobuo Yaegashi, Koichi Hashimoto, Chisato Mori, Shuichi Ito, Zentaro Yamagata, Hidekuni Inadera, Takeo Nakayama, Tomotaka Sobue, M
    Pediatric Research.2024; 95(1): 367.     CrossRef
  • Passive Smoking is Strongly Associated with Heart Disease in Hypertensive Workers: Analysis of the 2018 Indonesia Basic Health Research
    Astridya Paramita, Lely Indrawati, Nailul Izza, Dwi Hapsari Tjandrarini, Pramita Andarwati, Zainul Khaqiqi Nantabah, Maxwell Landri Vers Malakauseya, Christiana Rialine Titaley
    Asian Journal of Social Health and Behavior.2024; 7(1): 37.     CrossRef
  • Sleep-related adverse events of smoking cessation drugs: A network meta-analysis of randomized controlled trials
    Yubin Song, Yoon-A Park, Da Hoon Lee, Jeong Yee, Hye Sun Gwak
    Psychiatry Research.2024; 335: 115874.     CrossRef
  • Influence of lifestyle on stroke risk among adults over 65 years in northern China: A propensity score matched study
    Qiang Zhou, Yanyan Zhao, Haiying Chen, Hongyu Sun, Yumei Sun, Jie Li, Huiyong Yu, Qian Zhao, ZhiYan Zhang
    European Journal of Integrative Medicine.2023; 58: 102224.     CrossRef
  • Smoke Exposure Reduces the Protective Effect of Physical Activity on Hypertension: Evidence from the National Health and Nutrition Examination Survey (NHANES) 2013–2018
    Chen Li, Yiyi Wang, Shouyu Wang, Lei Huang
    International Journal of Environmental Research and Public Health.2023; 20(3): 2532.     CrossRef
  • The effects of cigarette smoking and alcohol drinking on salty taste preferences based on Korean Community Health Survey data
    Jian Ma, Yeon-Kyung Lee
    Nutrition Research and Practice.2023; 17(3): 487.     CrossRef
  • Challenges of Second-hand Smoke: Are We Asking the Right Questions?
    Akash Deep Sharma, Rashmi Raghavan, Suneela Garg, Pradeep Aggarwal, Surekha Kishore, Om Prakash Bera
    Indian Journal of Community Health.2023; 35(1): 04.     CrossRef
  • Cohort Profile: ChinaHEART (Health Evaluation And risk Reduction through nationwide Teamwork) Cohort
    Runsi Wang, Yang Yang, Jiapeng Lu, Jianlan Cui, Wei Xu, Lijuan Song, Chaoqun Wu, Xiaoyan Zhang, Hao Dai, Hui Zhong, Binbin Jin, Wenyan He, Yan Zhang, Hao Yang, Yunfeng Wang, Xingyi Zhang, Xi Li, Shengshou Hu
    International Journal of Epidemiology.2023; 52(5): e273.     CrossRef
  • Shared Lifestyle-Related Risk Factors of Cardiovascular Disease and Cancer: Evidence for Joint Prevention
    Farzad Masoudkabir, Noushin Mohammadifard, Arya Mani, Andrew Ignaszewski, Margot K. Davis, Golnaz Vaseghi, Marjan Mansourian, Christopher Franco, Carolyn Gotay, Nizal Sarrafzadegan, Francesco Giallauria
    The Scientific World Journal.2023; 2023: 1.     CrossRef
  • Examining the Association between Cigarette Smoking Quantity and Subjective Salt Taste Preference and Salt-Related Eating Behavior
    Jian Ma, Yeon-Kyung Lee
    Korean Journal of Family Medicine.2023; 44(6): 335.     CrossRef
  • Smoking waterpipe, cigarette, and heart disease: a cross-sectional analysis of baseline data from the Kong Cohort Study in the South of Iran
    Maryam Karimi Jaberi, Nahid Shahabi, Shokrollah Mohseni, Zahra Karimi Jaberi, Shahin Abbaszadeh, Faeghe Zarei, Sara Dadipoor
    Journal of Ethnicity in Substance Abuse.2023; : 1.     CrossRef
  • Clinical Pathway for Coronary Atherosclerosis in Patients Without Conventional Modifiable Risk Factors
    Gemma A. Figtree, Stephen T. Vernon, Jason A. Harmer, Michael P. Gray, Clare Arnott, Eric Bachour, Giannie Barsha, David Brieger, Alex Brown, David S. Celermajer, Keith M. Channon, Nicholas W.S. Chew, James J.H. Chong, Clara K. Chow, Peter A. Cistulli, Pa
    Journal of the American College of Cardiology.2023; 82(13): 1343.     CrossRef
  • Cardiovascular comorbidities and their prognostic value in small cell lung cancer patients with chemoradiotherapy
    Hanyang Liang, Tianjie Wang, Dong Liu, Hao Wang, Zhengqing Ba, Ying Xiao, Yilu Liu, Jiansong Yuan, Weixian Yang
    Clinical and Translational Oncology.2023;[Epub]     CrossRef
  • Association between periodontal condition and blood pressure is confounded by smoking
    Emilia Ollikainen, Tuomas Saxlin, Tellervo Tervonen, Anna Liisa Suominen, Matti Knuuttila, Antti Jula, Pekka Ylöstalo
    Acta Odontologica Scandinavica.2022; 80(6): 457.     CrossRef
  • Adherence to the healthy lifestyle guideline in relation to the metabolic syndrome: Analyses from the 2013 and 2018 Indonesian national health surveys
    Fathimah S. Sigit, Stella Trompet, Dicky L. Tahapary, Dante S. Harbuwono, Saskia le Cessie, Frits R. Rosendaal, Renée de Mutsert
    Preventive Medicine Reports.2022; 27: 101806.     CrossRef
  • Prevalence and Related Factors of White Coat Hypertension and Masked Hypertension in Shunde District, Southern China
    Hailan Zhu, Haoxiao Zheng, Xiaoyan Liang, Chunyi Huang, Lichang Sun, Xiong Liu, Min Qiu, Weiyi Mai, Yuli Huang
    Frontiers in Physiology.2022;[Epub]     CrossRef
  • Angina Outcomes in Secondhand Smokers: Results from the National Health and Nutrition Examination Survey 2007–2018
    Suzanne Chaar, Jeik Yoon, Joud Abdulkarim, José Villalobos, Jeanette Garcia, Humberto López Castillo
    Avicenna Journal of Medicine.2022; 12(02): 073.     CrossRef
  • Tabakrauch – assoziierte Erkrankungen
    Christian J. Herold
    Die Radiologie.2022; 62(9): 729.     CrossRef
  • Association between smoking and hypertension under different PM2.5 and green space exposure: A nationwide cross-sectional study
    Qihao Chen, Xuxi Ma, Yan Geng, Jingling Liao, Lu Ma
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Awareness of hazards due to tobacco among people aged 15 years and older in Chongqing, China, in 2020: A cross-sectional analysis
    Qiu Chen, Jia Nan Dai, Xiao Dan Chen, Tian Qin, Wei Yun Lai, Yang Wang
    Tobacco Induced Diseases.2022; 20(December): 1.     CrossRef
  • The Interaction between Occupational Stress and Smoking, Alcohol Drinking and BMI on Hypertension in Chinese Petrochemical Workers
    Zhihui Gu, Yunting Qu, Hui Wu
    International Journal of Environmental Research and Public Health.2022; 19(24): 16932.     CrossRef
  • Secondhand smoke: An unintended public health concern
    Suneela Garg, AkashDeep Sharma
    Indian Journal of Community and Family Medicine.2022; 8(2): 81.     CrossRef
  • Secondhand smoking and neurological disease: a meta-analysis of cohort studies
    Wei Liu, Bin Wang, Yang Xiao, Dongming Wang, Weihong Chen
    Reviews on Environmental Health.2021; 36(2): 271.     CrossRef
  • Passive smoking exposure and the risk of hypertension among non-smoking adults: the 2015–2016 NHANES data
    Onoja Matthew Akpa, Akinkunmi Paul Okekunle, Jeffery Osahon Asowata, Babatunde Adedokun
    Clinical Hypertension.2021;[Epub]     CrossRef
  • Cocaine Use and White Matter Hyperintensities in Homeless and Unstably Housed Women
    Elise D. Riley, Felicia C. Chow, S. Andrew Josephson, Samantha E. Dilworth, Kara L. Lynch, Amanda N. Wade, Carl Braun, Christopher P. Hess
    Journal of Stroke and Cerebrovascular Diseases.2021; 30(5): 105675.     CrossRef
  • Developing and validating the Malay version instrument to assess knowledge, attitudes and practices regarding second-hand smoke in the workplace: a cross-sectional study in teaching hospital in Malaysia
    Ikmal Rashiden, Nur Amani Natasha Ahmad Tajuddin, Anne Yee, Amer Siddiq Amer Nordin
    Environmental Science and Pollution Research.2021; 28(32): 44557.     CrossRef
  • The effects of community participation program on smoke-free homes in a suburban community of Thailand
    Peeraya Suteerangkul, Sunee Lagampan, Surintorn Kalampakorn, Naruemon Auemaneekul
    Tobacco Induced Diseases.2021; 19(May): 1.     CrossRef
  • Relationship between Exposure to Cigarette Smoke in Houses and The Incidence of Hypertension in Housewives
    Anugrah Lintang Indrawati, Santi Martini
    Jurnal Berkala Epidemiologi.2021; 9(2): 175.     CrossRef
  • Impacts of Cigarette Smoking Status on Metabolomic and Gut Microbiota Profile in Male Patients With Coronary Artery Disease: A Multi-Omics Study
    Xiaomin Hu, Yue Fan, Hanyu Li, Ruilin Zhou, Xinyue Zhao, Yueshen Sun, Shuyang Zhang
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Association Between Passive Smoking and Health Among Chinese Nurses: A Cross-Sectional Study
    Chun-ling Xia, Shi-qi Xiao, Qi-jun Wu, Xin-ying Yu, Lin-lin Xing, Li Gai, Tian-hui Xia, Hui-ling Feng, Xin-ying Zhang, Ying Guo, Yi-wei Xu, Tong-tong Fu, Xiang-hong Sun, Ling Fan
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Dependência do tabaco e nível de monóxido de carbono em trabalhadores terceirizados
    Nayara Pires Nadaleti, Jefferson Felipe Ribeiro, Poliana Martins Ferreira, Sérgio Valverde Marques dos Santos, Denismar Alves Nogueira, Adriana Olimpia Barbosa Felipe, Fábio De Souza Terra
    Ciência, Cuidado e Saúde.2021;[Epub]     CrossRef
  • Interactions between Prepregnancy Overweight and Passive Smoking for Macrosomia and Large for Gestational Age in Chinese Pregnant Women
    Dingyu Cui, Wen Yang, Ping Shao, Jing Li, Peng Wang, Junhong Leng, Shuo Wang, Enqing Liu, Juliana C.N. Chan, Zhijie Yu, Gang Hu, Xilin Yang
    Obesity Facts.2021; 14(5): 520.     CrossRef
  • Passive Smoking Exposure in Living Environments Reduces Cognitive Function: A Prospective Cohort Study in Older Adults
    Fan He, Tian Li, Junfen Lin, Fudong Li, Yujia Zhai, Tao Zhang, Xue Gu, Genming Zhao
    International Journal of Environmental Research and Public Health.2020; 17(4): 1402.     CrossRef
  • BMI modified the association of current smoking with the incidence of hypertension in Chinese population: a 22-year cohort study
    Feifei Yao, Wenfeng Liu, Rencheng Zhao, Guangxiao Li, Xiaojuan Huang, Yongjie Chen
    BMC Public Health.2020;[Epub]     CrossRef
  • How Do Combustion and Non-Combustion Products Used Outdoors Affect Outdoor and Indoor Particulate Matter Levels? A Field Evaluation Near the Entrance of an Italian University Library
    Vittoria Cammalleri, Daniela Marotta, Carmela Protano, Matteo Vitali, Paolo Villari, Maria Cattaruzza
    International Journal of Environmental Research and Public Health.2020; 17(14): 5200.     CrossRef
  • Household Air Pollution and Angina Pectoris in Low- and Middle-Income Countries: Cross-Sectional Evidence from the World Health Survey 2002–2003
    Ishwar Tiwari, Raphael M. Herr, Adrian Loerbroks, Shelby S. Yamamoto
    International Journal of Environmental Research and Public Health.2020; 17(16): 5802.     CrossRef
  • Associations between Lifestyle Factors and Vitamin E Metabolites in the General Population
    Leon G. Martens, Jiao Luo, Fleur L. Meulmeester, Nadia Ashrafi, Esther Winters van Eekelen, Renée de Mutsert, Dennis O. Mook-Kanamori, Frits R. Rosendaal, Ko Willems van Dijk, Kevin Mills, Raymond Noordam, Diana van Heemst
    Antioxidants.2020; 9(12): 1280.     CrossRef
  • The association of smoking and hypertension according to cotinine-verified smoking status in 25,150 Korean adults
    Sung Hoon Kim, Ju Suk Lee
    Clinical and Experimental Hypertension.2019; 41(5): 401.     CrossRef
  • Effect of transcranial direct current stimulation on the number of smoked cigarettes in tobacco smokers
    Faisal Alghamdi, Ahmed Alhussien, Meshal Alohali, Abdullah Alatawi, Tariq Almusned, Shirley Fecteau, Syed Shahid Habib, Shahid Bashir, Andrea Antal
    PLOS ONE.2019; 14(2): e0212312.     CrossRef
  • The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019)
    Satoshi Umemura, Hisatomi Arima, Shuji Arima, Kei Asayama, Yasuaki Dohi, Yoshitaka Hirooka, Takeshi Horio, Satoshi Hoshide, Shunya Ikeda, Toshihiko Ishimitsu, Masaaki Ito, Sadayoshi Ito, Yoshio Iwashima, Hisashi Kai, Kei Kamide, Yoshihiko Kanno, Naoki Kas
    Hypertension Research.2019; 42(9): 1235.     CrossRef
  • Smoke-Free Policies and 30-Day Readmission Rates for Chronic Obstructive Pulmonary Disease
    Sericea Stallings-Smith, Hanadi Y. Hamadi, Breck N. Peterson, Emma J.I. Apatu, Aaron C. Spaulding
    American Journal of Preventive Medicine.2019; 57(5): 621.     CrossRef
  • Further Insights on Predictors of Environmental Tobacco Smoke Exposure during the Pediatric Age
    Carmela Protano, Vittoria Cammalleri, Arianna Antonucci, Alexandra Sabina Ungureanu, Francesa Santilli, Stefano Martellucci, Vincenzo Mattei, Matteo Vitali
    International Journal of Environmental Research and Public Health.2019; 16(21): 4062.     CrossRef
  • Smoking cessation in cardiovascular diseases
    Kalea Despoina, Ioannis Vogiatzis
    British Journal of Cardiac Nursing.2018; 13(3): 116.     CrossRef
  • An approach to reduce the regional gap of health equity : What factors influence walking practices between two districts by social ecological model?
    Kang Ju Son, Hoon Jo, Chun-Bae Kim, Su Mi Kim, In Gi Min, In Deok Kong
    Korean Journal of Health Education and Promotion.2018; 35(4): 35.     CrossRef
  • The relation of passive smoking with cervical cancer
    Benyu Su, Wen Qin, Feng Xue, Xiaomin Wei, Qiangdong Guan, Wenchong Jiang, Shue Wang, Mengmeng Xu, Sufang Yu
    Medicine.2018; 97(46): e13061.     CrossRef
  • Influence of environmental tobacco smoke on morphology and functions of cardiovascular system assessed using diagnostic imaging
    Paweł Gać, Małgorzata Poręba, Krystyna Pawlas, Małgorzata Sobieszczańska, Rafał Poręba
    Inhalation Toxicology.2017; 29(12-14): 518.     CrossRef
Analysis of the relationship between community characteristics and depression using geographically weighted regression
Hyungyun Choi, Ho Kim
Epidemiol Health. 2017;39:e2017025.   Published online June 21, 2017
DOI: https://doi.org/10.4178/epih.e2017025
  • 14,512 View
  • 237 Download
  • 1 Web of Science
  • 4 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions.
METHODS
Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran’s I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social and physical environments were created, and the final model included a combination of significant variables in these models.
RESULTS
In the health behavior domain, the weekly breakfast intake frequency of 1-2 times was the most significantly correlated with depression in all regions, followed by exposure to secondhand smoke and the level of perceived stress in some regions. In the morbidity domain, the rate of lifetime diagnosis of myocardial infarction was the most significantly correlated with depression. In the social and physical environment domain, the trust environment within the local community was highly correlated with depression, showing that lower the level of trust, higher was the level of depression. A final model was constructed and analyzed using highly influential variables from each domain. The models were divided into two groups according to the significance of correlation of each variable with the experience of depression symptoms.
CONCLUSIONS
The indicators of the regional health status are significantly associated with the incidence of depressive symptoms within a region. The significance of this correlation varied across regions.
Summary
Korean summary
정신질환 중 가장 흔한 우울증의 경우 집단의 특성 간 발생 현황에 차이를 보이고 있어 지역별 접근을 통한 연구가 요구됨에 따라 본 연구에서는 우울증의 지역적 변이요인을 분석하여 지역별 중재가 필요한 건강결정요인을 파악하고자 지역사회건강조사 자료를 이용하여 공간적 지리가중회귀분석을 시행하였다. 본 연구를 통해 지역단위보건관련지표는 지역의 우울증 발생과 유의미한 연관성이 있으며 연관성 우선순위는 지역별 차이가 있음이 밝혀졌다. 지역적 특성에 따른 우선순위를 제시하였음에 본 연구의 의의가 있으며 공중 보건 영역의 다른 사례에 본 연구방법론 및 연구결과 제시 방안을 적용함에 따라 지역의 건강수준향상 프로그램 개발에 유용한 기초자료의 제공을 기대할 수 있다.

Citations

Citations to this article as recorded by  
  • A geographically weighted artificial neural network
    Julian Hagenauer, Marco Helbich
    International Journal of Geographical Information Science.2022; 36(2): 215.     CrossRef
  • Spatial Dependence in Local Suicide Ideation and Actual Suicide among the Elderly: A Comparative Study between Men and Women
    Taewan Kim, Hee-Jung Jun
    Journal of Korea Planning Association.2021; 56(4): 49.     CrossRef
  • Geographic Disparities in Stress Levels during the COVID-19 Pandemic in Kuwait
    Mohammad Alnasrallah, Ibrahim Alshehab
    Papers in Applied Geography.2020; 6(4): 449.     CrossRef
  • Visual Analysis of Regional Variations in Antidepressant Use and Suicide Rate
    Ho-Jung Kim, Iyn-Hyang Lee
    Korean Journal of Clinical Pharmacy.2018; 28(4): 308.     CrossRef
The effect of community-level smoke-free ordinances on smoking rates in men based on Community Health Surveys
Hye Ah Lee, Hyesook Park, Ho Kim, Kyunghee Jung-Choi
Epidemiol Health. 2014;36:e2014037.   Published online December 26, 2014
DOI: https://doi.org/10.4178/epih/e2014037
  • 16,988 View
  • 152 Download
  • 11 Web of Science
  • 7 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
As one of smoke-free policies, communities have established the smoke-free ordinances since August 2010. Thus, this study aimed to evaluate the effects of community-level smoke-free ordinances (SFO) on smoking rates in men using multiyear Community Health Survey (CHS) data.
METHODS
Data on community-level SFO were collected from a website on Enhanced Local Laws and Regulation Information System. Regional smoking-related data were obtained from CHS data from 2008 to 2012 and the age-standardized rates of current smoking in men, attempts to quit smoking, and smoke-free campaign experiences including the mean number of cigarettes smoked (smoking amount) were calculated. Repeated measures analysis of variance was performed to evaluate the effects of regional implementation of SFO and the duration on change of smoking rates.
RESULTS
Overall current smoking rates and daily mean cigarettes smoked were lower in community where SFO had been implemented compared to those without implementation, and there was a significant difference in smoking rates between 2010 and 2008. Cross-sectional analysis of the effects of regional SFO revealed clear difference in rate of current smoking, but longitudinal analysis showed no significant differences. Stratifying by age groups, however, showed that groups less than 30 years of age had low smoking rates in community with ordinance compared to those without SFO since 2010. Yearly surveys measuring the number of cigarettes smoked, attempts to quit smoking, and experiences of smoke-free campaigns showed regional differences in the duration of implementation, but these differences were not significant in longitudinal analysis. Furthermore, there was a difference in regional socioeconomic characteristics between community with and without SFO implementation.
CONCLUSIONS
For effective smoking control, it is necessary to evaluate current policies and develop indices to evaluate the practical implementation of ordinances. As more communities to pass the SFO, long-term observation and assessments required.
Summary
Korean summary
2008년부터 2012년까지 조사된 지역사회건강조사 자료를 이용하여, 지역별 금연 조례 시행에 대한 효과를 평가한 연구 결과로, 종단적 분석을 통해 접근하였을 때 시간에 따른 흡연율 감소 폭은 조례 시행/미시행 지역간에 차이를 보이지 않았으며, 지역의 사회경제적 특성 요인에 차이가 존재하는 것으로 나타났다. 효과적인 흡연 규제를 위해, 현 시행중인 정책에 대한 효과 평가 및 장기적인 평가가 필요하다.

Citations

Citations to this article as recorded by  
  • Effects of municipal smoke-free ordinances on secondhand smoke exposure in the Republic of Korea
    Siwoo Kim, Yuri Lee, Changwoo Han, Min Kyung Kim, Ichiro Kawachi, Juhwan Oh
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • What explains the link between childhood ADHD and adolescent depression? Investigating the role of peer relationships and academic attainment
    Victoria Powell, Lucy Riglin, Gemma Hammerton, Olga Eyre, Joanna Martin, Richard Anney, Anita Thapar, Frances Rice
    European Child & Adolescent Psychiatry.2020; 29(11): 1581.     CrossRef
  • Attitudes of Korean smokers towards smoke-free public places: findings from the longitudinal ITC Korea Survey, 2005–2010
    Eunja Park, Sung-il Cho, Hong Gwan Seo, Yeol Kim, Hyun-Suk Jung, Pete Driezen, Janine Ouimet, Anne C K Quah, Geoffrey T. Fong
    BMJ Open.2019; 9(8): e025298.     CrossRef
  • Second‐hand smoke prevalence in 252 regions of South Korea in three exposure locations
    Li‐Yuan Sun, Jae‐Hyun Park
    Japan Journal of Nursing Science.2018; 15(3): 210.     CrossRef
  • The effect of contextual factors on unintentional injury hospitalization: from the Korea National Hospital Discharge Survey
    Hye Ah Lee, Hyejin Han, Seonhwa Lee, Bomi Park, Bo Hyun Park, Won Kyung Lee, Ju Ok Park, Sungok Hong, Young Taek Kim, Hyesook Park
    BMC Public Health.2018;[Epub]     CrossRef
  • The Potential Roles of Extracellular Vesicles in Cigarette Smoke-Associated Diseases
    A-Reum Ryu, Do Hyun Kim, Eunjoo Kim, Mi Young Lee
    Oxidative Medicine and Cellular Longevity.2018; 2018: 1.     CrossRef
  • Affecting Factors of Secondhand Smoke Exposure in Korea: Focused on Different Exposure Locations
    Li-Yuan Sun, Hae-Kwan Cheong, Eun-Whan Lee, Kyeong-Jin Kang, Jae-Hyun Park
    Journal of Korean Medical Science.2016; 31(9): 1362.     CrossRef

Epidemiol Health : Epidemiology and Health