Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
5 "Concept"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Scoping Review
Pre-pregnancy Diet to Maternal and Child Health Outcome: A Scoping Review of Current Evidence
Fadila Wirawan, Desak Gede Arie Yudhantari, Aghnaa Gayatri
J Prev Med Public Health. 2023;56(2):111-127.   Published online March 13, 2023
DOI: https://doi.org/10.3961/jpmph.22.472
  • 2,917 View
  • 176 Download
AbstractAbstract PDFSupplementary Material
Objectives
Pre-pregnancy diet has an important role in preparing for healthy generation. However, evidence on this issue has been scarce. A scoping review synthesising current evidence will support the demand to map ‘what has been researched’ on pre-pregnancy diet and maternal and child health.
Methods
Systematic search was performed using PICOS (Population, Intervention, Comparison, Outcomes, and Study design) framework in electronic databases. Articles were screened for eligibility, summarized, and the quality was assessed using the National Institute of Health assessment tool. The review structure complies with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guide.
Results
Forty-two articles were included after full-text screening. Twenty-five studies were in high-income countries (HICs), six in each upper-middle income, five in lower-middle income countries (LMICs), and one in low-income countries (LIC). Based on the regions: North America (n=16), Europe (n=5), South America (n=4), Australia (n=4), Asia (n=5), Middle East (n=2), and sub-Saharan Africa (n=1). The two-most observed diet-related exposures were dietary pattern (n=17) and dietary quality (n=12). The most assessed outcome was gestational diabetes mellitus (n=28) and fetal and newborn anthropometry (n=7). The average quality score±standard deviation was 70±18%.
Conclusions
Research related to pre-pregnancy diet is still concentrated in HICs. The context of diet may vary; therefore, future research is encouraged in LMICs and LICs context, and Mediterranean, South-East Asia, Pacific, and African regions. Some maternal and child nutrition-related morbidity, such as anemia and micronutrient deficiencies, have not been discussed. Research on these aspects will benefit to fill in the gaps related to pre-pregnancy diet and maternal and child health.
Summary
Methods
Health Indicators Related to Disease, Death, and Reproduction
Jeoungbin Choi, Moran Ki, Ho Jang Kwon, Boyoung Park, Sanghyuk Bae, Chang-Mo Oh, Byung Chul Chun, Gyung-Jae Oh, Young Hoon Lee, Tae-Yong Lee, Hae Kwan Cheong, Bo Youl Choi, Jung Han Park, Sue K. Park
J Prev Med Public Health. 2019;52(1):14-20.   Published online January 23, 2019
DOI: https://doi.org/10.3961/jpmph.18.250
  • 11,931 View
  • 221 Download
  • 16 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.
Summary
Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.

Citations

Citations to this article as recorded by  
  • Dying whilst on probation: a scoping review of mortality amongst those under community justice supervision
    SE Perrett, C Craddock, BJ Gray
    Perspectives in Public Health.2024;[Epub]     CrossRef
  • Prevalence of users of medication targeting obstructive lung disease, the reasons for prescriptions and the use of spirometry in Upernavik Health Center in the period from 2011-2016, a retrospective observational study as basis for future quality developm
    Hans Kallerup, Mette Bordinggaard Brøndserud
    International Journal of Circumpolar Health.2022;[Epub]     CrossRef
  • On the severity of COVID‐19 infections in 2021 in Italy
    Fabio Divino, Antonello Maruotti, Alessio Farcomeni, Giovanna Jona‐Lasinio, Gianfranco Lovison, Massimo Ciccozzi
    Journal of Medical Virology.2022; 94(4): 1281.     CrossRef
  • High-risk landscapes of Japanese encephalitis virus outbreaks in India converge on wetlands, rain-fed agriculture, wild Ardeidae, and domestic pigs and chickens
    Michael G Walsh, Amrita Pattanaik, Navya Vyas, Deepak Saxena, Cameron Webb, Shailendra Sawleshwarkar, Chiranjay Mukhopadhyay
    International Journal of Epidemiology.2022; 51(5): 1408.     CrossRef
  • Using correlation analysis to examine the impact of Covid-19 pandemics on various socioeconomic aspects: Case study of Indonesia
    Fitriadi Fitriadi, Jiuhardi Jiuhardi, Arfiah Busari, Yana Ulfah, Hakim Permadi, Erwin Kurniawan, Dio Darma
    Geographica Pannonica.2022; 26(2): 128.     CrossRef
  • Mortality among psychiatric inpatients in China: A national survey
    Xiaodong Wu, Lei Xia, Yating Yang, Ling Zhang, Mengdie Li, Tingfang Liu, Yuanli Liu, Robert O. Cotes, Feng Jiang, Yi-lang Tang, Huanzhong Liu
    Asian Journal of Psychiatry.2022; 77: 103262.     CrossRef
  • Mortality Analysis During July & September 2022 At Benazir Bhutto Hospital Rawalpindi
    Rizwana Shahid, Sadia Khan, Rabbia Khalid, Muhammad Umar, Shaikh Abdul Rehman, Nargis Zaidi
    Pakistan Journal of Health Sciences.2022; : 40.     CrossRef
  • Predicción del índice de mortalidad por enfermedad cardiovascular mediante la caminata al azar probabilista
    Javier Rodríquez Velásquez, Ediltrudis Ramos de la Cruz, Jairo Javier Jattin Balcázar, Jorge Gómez Rojas, Ribká Soracipa Muñoz
    Revista de Salud Pública.2022; 24(5): 1.     CrossRef
  • Low mammalian species richness is associated with Kyasanur Forest disease outbreak risk in deforested landscapes in the Western Ghats, India
    Michael G. Walsh, Rashmi Bhat, Venkatesh Nagarajan-Radha, Prakash Narayanan, Navya Vyas, Shailendra Sawleshwarkar, Chiranjay Mukhopadhyay
    One Health.2021; 13: 100299.     CrossRef
  • Mortality and complications of scrub typhus in the paediatric population: a systematic review and meta-analysis
    Kaushik Mukhopadhyay, Samir Chakrabarty, Chandan Chatterjee, Saheli Chatterjee Misra
    Transactions of The Royal Society of Tropical Medicine and Hygiene.2021; 115(11): 1234.     CrossRef
  • Relation between molar-incisor hypomineralization (MIH) occurrence and war pollutants in bombarded regions: Epidemiological pilot study in Lebanon
    R Elzein, E Chouery, F Abdel-Sater, R Bacho, F Ayoub
    Nigerian Journal of Clinical Practice.2021; 24(12): 1808.     CrossRef
  • Use of Population-Based Surveys for Estimating the Population Size of Persons Who Inject Drugs in the United States
    Heather Bradley, Elizabeth M Rosenthal, Meredith A Barranco, Tomoko Udo, Patrick S Sullivan, Eli S Rosenberg
    The Journal of Infectious Diseases.2020; 222(Supplement): S218.     CrossRef
  • Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits for high-impact spillover
    Michael G. Walsh, Shailendra Sawleshwarkar, Shah Hossain, Siobhan M. Mor
    One Health.2020; 11: 100177.     CrossRef
  • The Impact of COVID-19 on African American Communities in the United States
    Elena Cyrus, Rachel Clarke, Dexter Hadley, Zoran Bursac, Mary Jo Trepka, Jessy G. Dévieux, Ulas Bagci, Debra Furr-Holden, Makella Coudray, Yandra Mariano, Sandra Kiplagat, Ines Noel, Gira Ravelo, Michelle Paley, Eric F. Wagner
    Health Equity.2020; 4(1): 476.     CrossRef
  • SAĞLIK RİSK FAKTÖRLERİNE GÖRE ÜLKELERİN KÜMELENMESİ VE ÇOK KRİTERLİ KARAR VERME TEKNİKLERİYLE SAĞLIK DURUMU GÖSTERGELERİNİN ANALİZİ
    Faruk YILMAZ, Selma SÖYÜK
    Sosyal Guvence.2020;[Epub]     CrossRef
  • Prohibition on Changing Workplaces and Fatal Occupational Injuries among Chinese Migrant Workers in South Korea
    Ju-Yeun Lee, Sung-il Cho
    International Journal of Environmental Research and Public Health.2019; 16(18): 3333.     CrossRef
Review
A Scoping Review of Components of Physician-induced Demand for Designing a Conceptual Framework
Marita Mohammadshahi, Shahrooz Yazdani, Alireza Olyaeemanesh, Ali Akbari Sari, Mehdi Yaseri, Sara Emamgholipour Sefiddashti
J Prev Med Public Health. 2019;52(2):72-81.   Published online December 31, 2018
DOI: https://doi.org/10.3961/jpmph.18.238
  • 13,646 View
  • 269 Download
  • 9 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions.
Methods
This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework.
Results
The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians’ incentive for pecuniary profit or meeting their target income, physicians’ current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients’ observable characteristics, patients’ non-clinical characteristics, and insurance coverage.
Conclusions
A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians’ behavior, particularly in the field of health economics.
Summary

Citations

Citations to this article as recorded by  
  • Differential effect of China’s Zero Markup Drug Policy on provider-induced demand in secondary and tertiary hospitals
    Xiaoxi Zhang, Armand Zimmerman, Hongyu Lai, Yanyan Zhang, Zhongyi Tang, Shenglan Tang, Osondu Ogbuoji
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Diverticulitis is a population health problem: Lessons and gaps in strategies to implement and improve contemporary care
    Stephanie Lee Stovall, Jennifer A Kaplan, Joanna K Law, David R Flum, Vlad V Simianu
    World Journal of Gastrointestinal Surgery.2023; 15(6): 1007.     CrossRef
  • Incentivisation practices and their influence on physicians’ prescriptions: A qualitative analysis of practice and policy in Pakistan
    Mishal Khan, Afifah Rahman-Shepherd, Muhammad Naveed Noor, Sabeen Sharif, Meherunissa Hamid, Wafa Aftab, Afshan Khurshid Isani, Robyna Irshad Khan, Rumina Hasan, Sadia Shakoor, Sameen Siddiqi, Julia Robinson
    PLOS Global Public Health.2023; 3(6): e0001890.     CrossRef
  • Unnecessary ultrasonography as supplier‐induced demand in diagnosis of primary breast cancer in Iran: A cross‐sectional study
    Mohammad Akbari, Abbas Assari Arani, Mohammad Esmaeil Akbari, Bahram Sahabi, Alireza Olyaeemanesh, Sajad Noorian
    The International Journal of Health Planning and Management.2022; 37(2): 873.     CrossRef
  • The frequency of tooth extraction before and after coverage of dental implants by National Health Insurance
    Jin-Sun Choi, Deok-Young Park
    Journal of Korean Academy of Oral Health.2022; 46(3): 135.     CrossRef
  • Policy Analysis of Gastrointestinal Cancer Prevention in Iran: A Framework Based on a Qualitative Study
    Neda Kabiri, Rahim Khodayari‐zarnaq, Manouchehr Khoshbaten, Ali Janati
    World Medical & Health Policy.2021; 13(3): 548.     CrossRef
  • Appropriateness of angiography for suspected coronary artery disease
    Marita Mohammadshahi, Sara Emamgholipour Sefiddashti, Minoo Alipouri Sakha, Alireza Olyaeemanesh, Shahrooz Yazdani
    Indian Heart Journal.2021; 73(3): 376.     CrossRef
  • Hospital-based health technology assessment in Brazil: current experiences and challenges
    Patricia Coelho de Soárez, Vera Lúcia Edais Pepe, Hillegonda Maria Dutilh Novaes
    International Journal of Technology Assessment in Health Care.2021;[Epub]     CrossRef
  • Longitudinal Association of Salaries for Medical Staff With Medical Service Utilization and Expenditure in China, 2007–2016
    Dawei Zhu, Na Guo, Jian Wang, Stephen Nicholas, Li Chen
    Frontiers in Public Health.2021;[Epub]     CrossRef
English Abstracts
Correlations Between Climate Change-Related Infectious Diseases and Meteorological Factors in Korea.
Si Heon Kim, Jae Yeon Jang
J Prev Med Public Health. 2010;43(5):436-444.
DOI: https://doi.org/10.3961/jpmph.2010.43.5.436
  • 6,761 View
  • 265 Download
  • 48 Crossref
AbstractAbstract PDF
OBJECTIVES
Infectious diseases are known to be affected by climate change. We investigated if the infectious diseases were related to meteorological factors in Korea. METHODS: Scrub typhus, hemorrhagic fever with renal syndrome (HFRS), leptospirosis, malaria and Vibrio vulnificus sepsis among the National Notifiable Infectious Diseases were selected as the climate change-related infectious diseases. Temperature, relative humidity and precipitation were used as meteorological factors. The study period was from 2001 through 2008. We examined the seasonality of the diseases and those correlations with meteorological factors. We also analyzed the correlations between the incidences of the diseases during the outbreak periods and monthly meteorological factors in the hyper-endemic regions. RESULTS: All of the investigated diseases showed strong seasonality; malaria and V. vulnificus sepsis were prevalent in summer and scrub typhus, HFRS and leptospirosis were prevalent in the autumn. There were significant correlations between the monthly numbers of cases and all the meteorological factors for malaria and V. vulnificus sepsis, but there were no correlation for the other diseases. However, the incidence of scrub typhus in hyper-endemic region during the outbreak period was positively correlated with temperature and humidity during the summer. The incidences of HFRS and leptospirosis had positive correlations with precipitation in November and temperature and humidity in February, respectively. V. vulnificus sepsis showed positive correlations with precipitation in April/May/July. CONCLUSIONS: In Korea, the incidences of the infectious diseases were correlated with meteorological factors, and this implies that the incidences could be influenced by climate change.
Summary

Citations

Citations to this article as recorded by  
  • Associations of meteorological factors and dynamics of scrub typhus incidence in South Korea: A nationwide time-series study
    Taehee Chang, Kyung-Duk Min, Sung-il Cho, Yoonhee Kim
    Environmental Research.2024; 245: 117994.     CrossRef
  • Distribution of Aerobic Intestinal Microorganisms in the Feces of the Striped Field Mouse (Apodemus agrarius coreae) in Jeju
    Jiro KIM, Yun-Hee OH, Moo-Sang CHONG
    Korean Journal of Clinical Laboratory Science.2024; 56(1): 59.     CrossRef
  • Prediction of risk factors for scrub typhus from 2006 to 2019 based on random forest model in Guangzhou, China
    Xiaobin Huang, Binbin Xie, Jiali Long, Haiyan Chen, Hao Zhang, Lirui Fan, Shouyi Chen, Kuncai Chen, Yuehong Wei
    Tropical Medicine & International Health.2023; 28(7): 551.     CrossRef
  • Molecular Detection of Anaplasma, Ehrlichia and Rickettsia Pathogens in Ticks Collected from Humans in the Republic of Korea, 2021
    Ji-Ye Seo, Yu-Jung Kim, Seong-Yoon Kim, Hee-Il Lee
    Pathogens.2023; 12(6): 802.     CrossRef
  • The Prevalence of Rodents Orientia tsutsugamushi in China During Two Decades: A Systematic Review and Meta-Analysis
    Yan-Chun Wang, Jing-Hao Li, Ya Qin, Si-Yuan Qin, Chao Chen, Xin-Bo Yang, Ning Ma, Ming-Xin Dong, Cong-Cong Lei, Xing Yang, He-Ting Sun, Zhi-Yong Sun, Jing Jiang
    Vector-Borne and Zoonotic Diseases.2023; 23(12): 619.     CrossRef
  • Spatiotemporal epidemiology and risk factors of scrub typhus in Hainan Province, China, 2011–2020
    Lisha Liu, Yang Xiao, Xianyu Wei, Xuan Li, Chunyuan Duan, Xinjing Jia, Ruizhong Jia, Jinpeng Guo, Yong Chen, Xiushan Zhang, Wenyi Zhang, Yong Wang
    One Health.2023; 17: 100645.     CrossRef
  • Climate drives the spatiotemporal dynamics of scrub typhus in China
    Fangyu Ding, Qian Wang, Mengmeng Hao, Richard James Maude, Nicholas Philip John Day, Shengjie Lai, Shuai Chen, Liqun Fang, Tian Ma, Canjun Zheng, Dong Jiang
    Global Change Biology.2022; 28(22): 6618.     CrossRef
  • Climate-driven scrub typhus incidence dynamics in South China: A time-series study
    Wen Li, Yanlin Niu, Hongyan Ren, Wanwan Sun, Wei Ma, Xiaobo Liu, Guichang Li, Jun Wang, Qiyong Liu, Liang Lu
    Frontiers in Environmental Science.2022;[Epub]     CrossRef
  • Leptospirosis in Vietnam
    N. K. Tokarevich, O. V. Blinova
    Russian Journal of Infection and Immunity.2022; 12(6): 1019.     CrossRef
  • The Scrub Typhus Incidence Rate of Agricultural Workers in South Korea: Using Farmers’ Safety Insurance Data
    Dongphil Choi, Kyeongsu Kim, Minji Lee
    Journal of Health Informatics and Statistics.2022; 47(4): 357.     CrossRef
  • Epidemiological characteristics of tuberculosis and effects of meteorological factors and air pollutants on tuberculosis in Shijiazhuang, China: A distribution lag non-linear analysis
    Wenjuan Wang, Weiheng Guo, Jianning Cai, Wei Guo, Ran Liu, Xuehui Liu, Ning Ma, Xiaolin Zhang, Shiyong Zhang
    Environmental Research.2021; 195: 110310.     CrossRef
  • Seasonal surveillance of mosquitoes in three different habitats in Gyeongbuk Province, Republic of Korea, 2017–2019
    JaeSeok Lee, KyungHwan Moon, YeongHo Kim, Ji Hyang Jeon, Ye eun Park, Young Ho Kim
    Entomological Research.2021; 51(9): 432.     CrossRef
  • Geographical Distribution and Epidemiologic Factors of Chigger Mites on Apodemus agrarius during Autumn in Korea
    In Yong Lee, Jae-Won Lim, Jang Hoon Seo, Heung Chul Kim, Ku Jae Lee, Tai-Soon Yong, Won-Ja Lee, Jae-Ran Yu, Seobo Sim
    The Korean Journal of Parasitology.2021; 59(5): 473.     CrossRef
  • Impact of Climate Change on Potential Malaria Distribution in Venezuela
    No Ol Lim, Rae Ik Jang, Seong Woo Jeon
    Journal of Climate Change Research.2020; 11(1): 11.     CrossRef
  • Historical and Clinical Perspective ofVibrio vulnificusInfections in Korea
    Seung-Ji Kang, Sook-In Jung, Kyong Ran Peck
    Infection & Chemotherapy.2020; 52(2): 245.     CrossRef
  • Epidemiology of tsutsugamushi disease and its relationship with meteorological factors in Xiamen city, China
    Li Luo, Zhinan Guo, Zhao Lei, Qingqing Hu, Min Chen, Fanghua Chen, Zeyu Zhao, Jia Rui, Xingchun Liu, Yuanzhao Zhu, Yao Wang, Meng Yang, Tianmu Chen, Jeanne Salje
    PLOS Neglected Tropical Diseases.2020; 14(10): e0008772.     CrossRef
  • The evolution of bacterial pathogens in the Anthropocene
    Michiel Vos
    Infection, Genetics and Evolution.2020; 86: 104611.     CrossRef
  • Density of Chigger Mites as Tsutsugamushi Vectors Collected from Jinan, Jeollabuk-do
    Hyeok Jae Lee, Chul Park
    The Korean Journal of Clinical Laboratory Science.2020; 52(4): 364.     CrossRef
  • Effect of ambient temperature and its effect modifiers on bacillary dysentery in Jinan, China
    Zhidong Liu, Yanyu Liu, Ying Zhang, Jiahui Lao, Jing Zhang, Hui Wang, Baofa Jiang
    Science of The Total Environment.2019; 650: 2980.     CrossRef
  • Distribution of Orientia tsutsugamushi in rodents and mites collected from Central India
    Batul Akhunji, Ruchi Bhate, Nilesh Pansare, S. P. Chaudhari, Waqar Khan, N. V. Kurkure, S. W. Kolte, S. B. Barbuddhe
    Environmental Monitoring and Assessment.2019;[Epub]     CrossRef
  • The scrub typhus in mainland China: spatiotemporal expansion and risk prediction underpinned by complex factors
    Hongwu Yao, Yixing Wang, Xianmiao Mi, Ye Sun, Kun Liu, Xinlou Li, Xiang Ren, Mengjie Geng, Yang Yang, Liping Wang, Wei Liu, Liqun Fang
    Emerging Microbes & Infections.2019; 8(1): 909.     CrossRef
  • Climate and air pollution alter incidence of tuberculosis in Beijing, China
    Chun Yan Zhang, Ang Zhang
    Annals of Epidemiology.2019; 37: 71.     CrossRef
  • Occurrence rates of wild rodent hosts and chigger mites and the infection rate of Orientia tsutsugamushi in the central region of South Korea from 2015 to 2018
    Moon Bo Choi, Yeongbu Kim, Da Young Kim, Ohseok Kwon
    Entomological Research.2019; 49(8): 374.     CrossRef
  • Scrub typhus re-emergence in India: Contributing factors and way forward
    Jai Ranjan, John Antony Jude Prakash
    Medical Hypotheses.2018; 115: 61.     CrossRef
  • Hierarchical Bayesian modeling of spatio-temporal patterns of scrub typhus incidence for 2009–2013 in South Korea
    Seungwon Kim, Youngho Kim
    Applied Geography.2018; 100: 1.     CrossRef
  • The Most Common Mite- and Tick-borne Infectious Diseases in Korea: Scrub Typhus and Severe Fever Thrombocytopenia Syndrome
    Da Young Kim, Dong-Min Kim
    The Korean Journal of Medicine.2018; 93(5): 416.     CrossRef
  • Species composition, seasonal prevalence and flavivirus occurrence of mosquitoes in Daegu and Gunwi, South Korea during the period of 2015–2016
    Da Yeong Kim, Moon Bo Choi, Wook‐Gyo Lee, Ohseok Kwon
    Entomological Research.2018; 48(6): 522.     CrossRef
  • A Study on the Public Health Disasters using Meteorological Factor: Scrub Typhus in South Korea
    Younggon Lee, Kyuhyun Choi, Jaewon Kwak
    Journal of the Korean Society of Hazard Mitigation.2018; 18(3): 343.     CrossRef
  • Health professionals' perceptions of hemorrhagic fever with renal syndrome and climate change in China
    Michael Xiaoliang Tong, Alana Hansen, Scott Hanson-Easey, Scott Cameron, Jianjun Xiang, Qiyong Liu, Xiaobo Liu, Yehuan Sun, Philip Weinstein, Gil-Soo Han, Craig Williams, Peng Bi
    Global and Planetary Change.2017; 152: 12.     CrossRef
  • Incidences of Waterborne and Foodborne Diseases After Meteorologic Disasters in South Korea
    Wonwoong Na, Kyeong Eun Lee, Hyung-Nam Myung, Soo-Nam Jo, Jae-Yeon Jang
    Annals of Global Health.2017; 82(5): 848.     CrossRef
  • Sero-prevalence of specific Leptospira serovars in fattening pigs from 5 provinces in Vietnam
    Hu Suk Lee, Nguyen Viet Khong, Huyen Nguyen Xuan, Vuong Bui Nghia, Hung Nguyen-Viet, Delia Grace
    BMC Veterinary Research.2017;[Epub]     CrossRef
  • Present state and future of tick-borne infectious diseases in Korea
    Hyoung Sul, Dong-Min Kim
    Journal of the Korean Medical Association.2017; 60(6): 475.     CrossRef
  • Assessing the impact of meteorological factors on malaria patients in demilitarized zones in Republic of Korea
    Se-Min Hwang, Seok-Joon Yoon, Yoo-Mi Jung, Geun-Yong Kwon, Soo-Nam Jo, Eun-Jeong Jang, Myoung-Ok Kwon
    Infectious Diseases of Poverty.2016;[Epub]     CrossRef
  • Association between Scrub Typhus Outbreaks and Meteorological Factors in Jeollabuk-do Province
    Gong-Unn Kang, Chang-Jin Ma, Gyung-Jae Oh
    Korean Journal of Environmental Health Sciences.2016; 42(1): 41.     CrossRef
  • Scrub Typhus Incidence Modeling with Meteorological Factors in South Korea
    Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay Singh, Seungjin Hong, Hung Kim
    International Journal of Environmental Research and Public Health.2015; 12(7): 7254.     CrossRef
  • Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China
    Li-Ping Yang, Si-Yuan Liang, Xian-Jun Wang, Xiu-Jun Li, Yan-Ling Wu, Wei Ma, Mathieu Picardeau
    PLoS Neglected Tropical Diseases.2015; 9(1): e3420.     CrossRef
  • Meteorological factors and risk of scrub typhus in Guangzhou, southern China, 2006–2012
    Tiegang Li, Zhicong Yang, Zhiqiang Dong, Ming Wang
    BMC Infectious Diseases.2014;[Epub]     CrossRef
  • Effects of meteorological factors on scrub typhus in a temperate region of China
    L. P. YANG, J. LIU, X. J. WANG, W. MA, C. X. JIA, B. F. JIANG
    Epidemiology and Infection.2014; 142(10): 2217.     CrossRef
  • Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea
    Jaewon Kwak, Huiseong Noh, Soojun Kim, Vijay Singh, Seung Hong, Duckgil Kim, Keonhaeng Lee, Narae Kang, Hung Kim
    International Journal of Environmental Research and Public Health.2014; 11(10): 10587.     CrossRef
  • Unusual Genotypic Distribution of Orientia tsutsugamushi Strains Causing Human Infections on Jeju Island
    Young-Sang Koh, Jeong Rae Yoo, Sohyun Kim, Seok Kim, Sang Taek Heo
    The American Journal of Tropical Medicine and Hygiene.2014; 90(3): 507.     CrossRef
  • Scrub typhus islands in the Taiwan area and the association between scrub typhus disease and forest land use and farmer population density: geographically weighted regression
    Pui-Jen Tsai, Hsi-Chyi Yeh
    BMC Infectious Diseases.2013;[Epub]     CrossRef
  • The Geographical and Economical Impact of Scrub Typus, the Fastest-growing Vector-borne Disease in Korea
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(1): 1.     CrossRef
  • Spatial Distribution Analysis of Scrub Typhus in Korea
    Hong Sung Jin, Chaeshin Chu, Dong Yeob Han
    Osong Public Health and Research Perspectives.2013; 4(1): 4.     CrossRef
  • Leptospirosis in the Republic of Korea: Historical Perspectives, Current Status and Future Challenges
    Min Ja Kim
    Infection & Chemotherapy.2013; 45(2): 137.     CrossRef
  • Case of Hemorrhagic Fever with Renal Syndrome in Jeju Island
    Chae Moon Lim, Sang Taek Heo, Jinseok Kim, Jung Re Yu, Young Ree Kim, Keun Hwa Lee
    Infection & Chemotherapy.2012; 44(6): 454.     CrossRef
  • Monthly Occurrence of Vectors and Reservoir Rodents of Scrub Typhus in an Endemic Area of Jeollanam-do, Korea
    Seung Hyun Lee, Young-Sun Lee, In Yong Lee, Jae Won Lim, Hee-Kwan Shin, Jae-Ran Yu, Seobo Sim
    The Korean Journal of Parasitology.2012; 50(4): 327.     CrossRef
  • Work-related diseases of agricultural workers in South Korea
    Sangchul Roh
    Journal of the Korean Medical Association.2012; 55(11): 1063.     CrossRef
  • Comparison of the Awareness and Knowledge of Scrub Typhus between Case and Control Groups
    Kwan Lee, Byeong-Chan Park, Hyun-Sul Lim, Sun-Seog Kweon, Jin-Su Choi, Jang-Rak Kim, Keon-Yeop Kim, So-Yeon Ryu
    Journal of agricultural medicine and community health.2012; 37(1): 1.     CrossRef
Neighborhood Characteristics and Individual Health under Korean Context.
Sung Won Jung, Young Tae Cho
J Prev Med Public Health. 2005;38(3):259-266.
  • 2,217 View
  • 44 Download
AbstractAbstract PDF
Recently much attention has been paid to the effect of neighborhood characteristics on the health of individuals, independent of individual demographic and/or socioeconomic characteristics. Although many empirical studies of a kind, mostly based on Western society, have appeared on various international journals, few studies have shown empirical evidence of neighborhood characteristics as an independent and significant risk factor of ill health in Korea. This paper discusses possible reasons that neighborhood seems to be neither significant nor substantial regarding its impact on the health of Koreans. Addressing the uniqueness of Korean society regarding the concept of neighborhood, attributes of neighborhoods, and methodological challenges, authors suggest that more sophisticated conceptual and methodological approach, specific to Korean society, should enable to reveal the effect of neighborhood characteristics on individual health in Korea.
Summary

JPMPH : Journal of Preventive Medicine and Public Health