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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
  • 3,995 View
  • 145 Download
AbstractAbstract AbstractSummary PDFSupplementary 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.
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
  • 7,944 View
  • 232 Download
  • 12 Crossref
AbstractAbstract 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

Citations to this article as recorded by  
  • Turkish Pediatrician Beliefs About Third-hand Smoking
    Fatma Sargin, Ebru Buldu
    Journal of Pediatric Health Care.2024; 38(1): 97.     CrossRef
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    İbrahim Güven Çoşğun, Şule Çilekar, Aydın Balcı, Beyza Nur Köymen, Sena Moral, Batıkan Nur, Berkay Yetim
    Tobacco Induced Diseases.2023; 21(January): 1.     CrossRef
  • Smoking behavior and secondhand smoke exposure among university students in northern Portugal: Relations with knowledge on tobacco use and attitudes toward smoking
    R.F. Alves, J. Precioso, E. Becoña
    Pulmonology.2022; 28(3): 193.     CrossRef
  • A influência dos pares no consumo de Substâncias Psicoativas entre estudantes universitários/as
    Regina Alves, José Precioso
    Revista de Estudios e Investigación en Psicología y Educación.2022; 9: 5.     CrossRef
  • 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
    Journal of American College Health.2022; : 1.     CrossRef
  • Prevalence of Smoking and its Associated Factors among Adolescent Males in Bangladesh: A Community Survey
    Muhammad Imamuzzaman, Faisal Muhammad, Imdadul Haque, Kawsar Ahmed, Kanij Fatema Mukta, Rine Christopher Reuben, A.B.M. Alauddin Chowdhury, Shahidul Basher
    The Open Public Health Journal.2022;[Epub]     CrossRef
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    Dursun Çadirci, Nuray Kivanç Terzi, Ragip Terzi, Fatma Gökşin Cihan
    Central European Journal of Public Health.2021; 29(1): 56.     CrossRef
  • Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
    Raphael E. Cuomo, Vidya L. Purushothaman, Jiawei Li, Cortni Bardier, Matthew Nali, Neal Shah, Nick Obradovich, Joshua Yang, Tim K. Mackey
    Frontiers in Public Health.2021;[Epub]     CrossRef
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    K. M. Mustafizur Rahman, Md. Ismail Tareque, Russell Kabir
    PLOS ONE.2020; 15(12): e0244335.     CrossRef
  • Implementation of Smoke-Free Law in Denpasar Bali: Between Compliance and Social Norms of Smoking
    Ketut Suarjana, Putu Ayu Swandewi Astuti, I Wayan Gede Artawan Eka Putra, Made Kerta Duana, Ketut Hari Mulyawan, Djazuly Chalidyanto, Mochammad Bagus Qomaruddin, Chatarina Umbul Wahyuni
    Journal of Public Health Research.2020; 9(3): jphr.2020.1747.     CrossRef
  • Prevalence and predictors of tobacco smoking among university students in Sylhet Division, Bangladesh
    Muhammad Shaikh Hassan, Md Kamrul Hossain, Hafiz T A Khan
    International Health.2019; 11(4): 306.     CrossRef
  • Trajectory of Smoking and Incidence of Atherosclerotic Cardiovascular Disease among Korean Young Adult Men
    Yongho Jee, Jooeun Jeon, Joung Hwan Back, Mikyung Ryu, Sung-il Cho
    International Journal of Environmental Research and Public Health.2019; 16(12): 2219.     CrossRef
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
  • 11,868 View
  • 114 Download
AbstractAbstract 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
  • 11,574 View
  • 121 Download
  • 11 Crossref
AbstractAbstract 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 BT=2.96, that of the LSNS-R family frequency factor was BT=3.60, and that of LSNS-R friends factor was BT=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

Citations to this article as recorded by  
  • COVID-19: social isolation, social support, and depression among rural older adults
    Jung Sim Jun, Kyoung Hag Lee, Joyce Baptist, Arely Yanez, April Zimmermann
    Social Work in Mental Health.2024; 22(3): 356.     CrossRef
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    Tso-Jung Yen, Ta-Chien Chan, Yang-Chih Fu, Jing-Shiang Hwang
    Journal of Medical Internet Research.2022; 24(1): e23762.     CrossRef
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    Sunhae Kim, Kounseok Lee
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    Nilgün Kuru Alici, Bilge Kalanlar
    Current Psychology.2021; 40(1): 21.     CrossRef
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    Jung Sim Jun, Colleen Galambos, Kyoung Hag Lee
    Journal of Social Service Research.2021; 47(4): 537.     CrossRef
  • Structural Social Support and Changes in Depression During the Retirement Transition: “I Get by With a Little Help from My Friends”
    Ben Lennox Kail, Dawn C Carr, Deborah Carr
    The Journals of Gerontology: Series B.2020; 75(9): 2040.     CrossRef
  • Association of Formal and Informal Social Support With Health-Related Quality of Life Among Chinese Rural Elders
    Shan Lu, Yupan Wu, Zongfu Mao, Xiaohui Liang
    International Journal of Environmental Research and Public Health.2020; 17(4): 1351.     CrossRef
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    Mónica Machón, Isabel Larrañaga, Miren Dorronsoro, Kalliopi Vrotsou, Itziar Vergara
    BMC Geriatrics.2017;[Epub]     CrossRef
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    Heather Douglas, Andrew Georgiou, Johanna Westbrook
    Australian Health Review.2017; 41(4): 455.     CrossRef
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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
  • 8,641 View
  • 103 Download
  • 9 Crossref
AbstractAbstract 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

Citations

Citations to this article as recorded by  
  • Association between social networks and symptoms of post-traumatic stress during the pandemic: Cohort study in South Korea
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JPMPH : Journal of Preventive Medicine and Public Health