Journal of Preventive Medicine and Public Health

Original Article

The Effect of Cognitive Impairment on the Association Between Social Network Properties and Mortality Among Older Korean Adults: Eunji Kim, Kiho Sung, Chang Oh Kim, Yoosik Youm, Hyeon Chang Kim; J Prev Med Public Health. 2023;56(1):31-40. Published online November 22, 2022; DOI: https://doi.org/10.3961/jpmph.22.350

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Abstract Summary PDF Supplementary Material

Objectives
This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults.
Methods
This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults’ complete network maps across an entire village in 2011-2012. Participants’ deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment.
Results
In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively.
Conclusions
The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

Summary

Korean summary
고령인구에서의 불충분한 사회연결망 특성은 높은 사망 위험과 연관이 있었으며, 이는 인지기능이 저하된 그룹에서 그렇지 않은 군에 비해 더 높게 관찰되었다. 특히, 인지기능이 저하된 노인에서 사회활동들에 참여하지 않는 것, 한정된 소집단에만 속하는 것, 주변으로부터 도움을 받지 못하는 것은 높은 사망 위험과 연관이 있기 때문에, 이들의 사회연결망을 강화하는 것이 사망 위험을 낮추는 데 도움이 될 수 있다.

Citations

Citations to this article as recorded by

Social participation and cognitive health in older adults: A scoping review
Eduardo Sandoval-Obando , Cristián Barros-Osorio , Gerardo Fuentes-Vilugrón , Luis Castellanos-Alvarenga , Ronnie Videla-Reyes , Miguel Salazar-Muñoz, Walter Sepulveda-Loyola
Nutrición Clínica y Dietética Hospitalaria.2025;[Epub] CrossRef
Associations between taxi drivers’ aggressive driving behavior and sleep, cognition, and psychological factors in Korea: negative binomial regression analysis
Jong Sun Ok, Hyeongsu Kim, Soo Young An, Mi Young Kim
Epidemiology and Health.2024; 46: e2024085. CrossRef

Special Article

Network Analysis in Systems Epidemiology: JooYong Park, Jaesung Choi, Ji-Yeob Choi; J Prev Med Public Health. 2021;54(4):259-264. Published online July 7, 2021; DOI: https://doi.org/10.3961/jpmph.21.190

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Abstract Summary PDF

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

Summary

Korean summary
본 리뷰는 시스템역학연구에 활용할 수 있는 네트워크 분석의 간략한 개념과 분석 절차 그리고 결과 해석에 대하여 소개하고 있다. 기존 역학연구의 주요 한계점은 생물학적 기전과 같은 복잡한 관계를 충분히 설명하지 못한다는 것이다. 최근 역학 연구에서 대규모의 오믹스 데이터가 활용 가능하게 됨에 따라 통합적 분석의 필요성이 제기되고 있고, 네트워크 분석 기법이 이런 다중 오믹스 데이터들을 포괄적으로 분석하는데 활용 될 수 있을 것이다.

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Original Articles

Peer Smoking and Smoking-related Beliefs Among College Students in Bangladesh: Akiko Kamimura, Zobayer Ahmmad, Mu Pye, Bethany Gull; J Prev Med Public Health. 2018;51(1):51-58. Published online January 22, 2018; DOI: https://doi.org/10.3961/jpmph.17.146

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Abstract PDF

Objectives
Smoking is a significant public health issue in Bangladesh. The purpose of this study was to examine peer smoking and smoking-related beliefs among college students in Bangladesh.
Methods
College students at two universities in Dhaka, Bangladesh participated in a self-administered survey in May and June 2017.
Results
First, being a current or former smoker is associated with lower levels of beliefs among respondents that they would not smoke even with smoker friends or nervousness, and lower levels of intentions that they would not smoke, while current smokers and former smokers have different smoking-related beliefs. Second, having smoker friends is associated with lower levels of intentions that they would not smoke. Third, higher levels of normative beliefs that it is important not to smoke are associated with higher levels of beliefs that they would not smoke even with smoker friends or nervousness, higher levels of intentions that they would not smoke, and higher levels of avoidance of smoking.
Conclusions
Smoking-related beliefs and perceived norms in individuals’ social networks are important components in promoting tobacco cessation in Bangladesh. But it is challenging to prevent or intervene in smoking because of the high rates of smoking in this country and the high prevalence of smokers in individuals’ social networks. Future studies should examine the most effective interventions to combat smoking in high-smoking social networks, such as using mobile apps or social media, and evaluate the effectiveness of such interventions.

Summary

Citations

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Acculturative risk or selective retention? A longitudinal study of binge drinking in Asian and Latinx immigrant youth
Zobayer Ahmmad
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Intention to quit electronic cigarette smoking among university students who are e-cigarette users
Jina Choo, Songwhi Noh, Jihyun Moon, Jinah Park, Yoonjoo Jeoung, Wonji Song
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Turkish Pediatrician Beliefs About Third-hand Smoking
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Md. Ahsan Habib, Md. Sagor Islam, Isteaq Kabir Sifat, Md. Earfan Ali Khondaker, Md. Kaderi Kibria
Public Health and Toxicology.2024; 4(1): 1. CrossRef
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Tobacco Induced Diseases.2023; 21(January): 1. CrossRef
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Public Participation in the Process of Local Public Health Policy, Using Policy Network Analysis: Yukyung Park, Chang-yup Kim, Myoung Soon You, Kun Sei Lee, Eunyoung Park; J Prev Med Public Health. 2014;47(6):298-308. Published online November 11, 2014; DOI: https://doi.org/10.3961/jpmph.14.029

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Abstract PDF: Objectives
To assess the current public participation in-local health policy and its implications through the analysis of policy networks in health center programs.
Methods
We examined the decision-making process in sub-health center installations and the implementation process in metabolic syndrome management program cases in two districts (‘gu’s) of Seoul. Participants of the policy network were selected by the snowballing method and completed self-administered questionnaires. Actors, the interactions among actors, and the characteristics of the network were analyzed by Netminer.
Results
The results showed that the public is not yet actively participating in the local public health policy processes of decision-making and implementation. In the decision-making process, most of the network actors were in the public sector, while the private sector was a minor actor and participated in only a limited number of issues after the major decisions were made. In the implementation process, the program was led by the health center, while other actors participated passively.
Conclusions
Public participation in Korean public health policy is not yet well activated. Preliminary discussions with various stakeholders, including civil society, are needed before making important local public health policy decisions. In addition, efforts to include local institutions and residents in the implementation process with the public officials are necessary to improve the situation.; Summary

The Relationship Between the Social Network of Community-living Elders and Their Health-related Quality of Life in Korean Province: Jun Tae Lim, Jong-Heon Park, Jin-Seok Lee, Juhwan Oh, Yoon Kim; J Prev Med Public Health. 2013;46(1):28-38. Published online January 31, 2013; DOI: https://doi.org/10.3961/jpmph.2013.46.1.28

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Abstract PDF

Objectives

This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL.

Methods

This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis.

Results

The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was B_T=2.96, that of the LSNS-R family frequency factor was B_T=3.60, and that of LSNS-R friends factor was B_T=5.41.

Conclusions

Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

Summary

Citations

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Social Network Effects on Post-Traumatic Stress Disorder (PTSD) in Female North Korean Immigrants: Byungkyu Lee, Yoosik Youm; J Prev Med Public Health. 2011;44(5):191-200. Published online September 28, 2010; DOI: https://doi.org/10.3961/jpmph.2011.44.5.191

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Abstract PDF

Objectives

The goal of this paper is to examine the social network effects on post-traumatic sdress disorder (PTSD) in female North Korean immigrants who entered South Korea in 2007. Specifically, it attempts to verify if the density and composition of networks make a difference after controlling for the network size.

Methods

A multivariate logistic regression is used to probe the effects of social networks using the North Korean Immigrant Panel data set. Because the data set had only completed its initial survey when this paper was written, the analysis was cross-sectional.

Results

The size of the support networks was systematically related to PTSD. Female North Korean immigrants with more supporting ties were less likely to develop PTSD, even after controlling for other risk factors (odds-ratio for one more tie was 0.8). However, once we control for the size of the network, neither the density nor the composition of the networks remains statistically significant.

Conclusions

The prevalence of the PTSD among female North Korean immigrants is alarmingly high, and regardless of the characteristics of supporting network members, the size of the supporting networks provides substantial protection. This implies that a simple strategy that focuses on increasing the number of supporting ties will be effective among North Korean immigrants who entered South Korea in recent years.

Summary

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English Abstract

Analysis of Policies in Activating the Infectious Disease Specialist Network (IDSN) for Bioterrorism Events.: Yang Soo Kim; J Prev Med Public Health. 2008;41(4):214-218.; DOI: https://doi.org/10.3961/jpmph.2008.41.4.214

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Abstract PDF

Bioterrorism events have worldwide impacts, not only in terms of security and public health policy, but also in other related sectors. Many countries, including Korea, have set up new administrative and operational structures and adapted their preparedness and response plans in order to deal with new kinds of threats. Korea has dual surveillance systems for the early detection of bioterrorism. The first is syndromic surveillance that typically monitors non-specific clinical information that may indicate possible bioterrorismassociated diseases before specific diagnoses are made. The other is infectious disease specialist network that diagnoses and responds to specific illnesses caused by intentional release of biologic agents. Infectious disease physicians, clinical microbiologists, and infection control professionals play critical and complementary roles in these networks. Infectious disease specialists should develop practical and realistic response plans for their institutions in partnership with local and state health departments, in preparation for a real or suspected bioterrorism attack.

Summary

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The Current Status of Bioterrorism Education in Health-related Colleges -In the Professors of the Health-related Colleges-
Byung-Chul Chun, Kyeong-Uoon Kim, Jee-Hee Kim, Jin-Woo Kim, Sang-Gyun Roh
Journal of the Korea Academia-Industrial cooperation Society.2012; 13(2): 710. CrossRef
Preparedness of Young Male Physicians for Biological Terrorism and Warfare in South Korea
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Original Article

Efficient DRG Fraud Candidate Detection Method Using Data Mining Techniques.: Duho Hong, Jung Kyu Lee, Min Woo Jo, Kidong Park, Sang Il Lee, Moo Song Lee, Chang Yup Kim, Yong Ik Kim; Korean J Prev Med. 2003;36(2):147-152.

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Abstract PDF: OBJECTIVES
To develop a Diagnosis-Related Group (DRG) fraud candidate detection method, using data mining techniques, and to examine the efficiency of the developed method. METHODS: The study included 79, 790 DRGs and their related claims of 8 disease groups (Lens procedures, with or without, vitrectomy, tonsillectomy and/or adenoidectomy only, appendectomy, Cesarean section, vaginal delivery, anal and/or perianal procedures, inguinal and/or femoral hernia procedures, uterine and/or adnexa procedures for nonmalignancy), which were examined manually during a 32 months period. To construct an optimal prediction model, 38 variables were applied, and the correction rate and lift value of 3 models (decision tree, logistic regression, neural network) compared. The analyses were performed separately by disease group. RESULTS: The correction rates of the developed method, using data mining techniques, were 15.4 to 81.9%, according to disease groups, with an overall correction rate of 60.7%. The lift values were 1.9 to 7.3 according to disease groups, with an overall lift value of 4.1. CONCLUSIONS: The above findings suggested that the applying of data mining techniques is necessary to improve the efficiency of DRG fraud candidate detection.; Summary

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