IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v260y2020ics0277953620304263.html
   My bibliography  Save this article

Smoking behavior prevalence in one's personal social network and peer's popularity: A population-based study of middle-aged adults in Japan

Author

Listed:
  • Takagi, Daisuke
  • Yokouchi, Nobutada
  • Hashimoto, Hideki

Abstract

Although previous social network studies have consistently shown the social influence of peers' smoking on one's (ego's) smoking, few studies have examined how the influence differs according to peers' structural positions in the network. Investigations are also lacking on whether vulnerability to the influence varies by ego's socioeconomic position. Thus, the present study aimed to examine how the association between peers' smoking and ego's smoking differs by peers' popularity in ego's personal network and ego's educational attainment. We used data from the third-wave Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) conducted in 2017, which targeted middle-aged (32–58-year-old) residents in four municipalities within Japanese metropolitan areas. Information on four close peers' characteristics and behaviors and their mutual relationships was collected by the name generator and name interpreter methods. Data on 1989 respondents and 7956 peers were evaluated. Peers' eigenvector centrality was used as their popularity index in ego's personal network. We set ego's smoking as an outcome, regressed on each peer's smoking, each peer's popularity, and ego's educational attainment adjusting for ego's age, sex, working status, marital status, spouse's/partner's smoking status, as well as similarity in socioeconomic backgrounds between peer and ego, using a logistic regression model with robust standard errors. We then added a three-way interaction term for these three explanatory variables to the model. Results showed that peer's smoking status was related to ego's smoking even more strongly when the peer was popular but only in the case of ego with lower educational attainment. The results suggested that the disparity in smoking behavior across socioeconomic positions may be partly explained by susceptibility to social influence from one's personal network among the socioeconomically vulnerable. This study proposes a plausible method for pinpointing the peer influencer in one's personal social network to close the socioeconomic gap in smoking.

Suggested Citation

  • Takagi, Daisuke & Yokouchi, Nobutada & Hashimoto, Hideki, 2020. "Smoking behavior prevalence in one's personal social network and peer's popularity: A population-based study of middle-aged adults in Japan," Social Science & Medicine, Elsevier, vol. 260(C).
  • Handle: RePEc:eee:socmed:v:260:y:2020:i:c:s0277953620304263
    DOI: 10.1016/j.socscimed.2020.113207
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953620304263
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2020.113207?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abel, Thomas & Frohlich, Katherine L., 2012. "Capitals and capabilities: Linking structure and agency to reduce health inequalities," Social Science & Medicine, Elsevier, vol. 74(2), pages 236-244.
    2. Vincent Lorant & Victoria Soto Rojas & Pierre-Olivier Robert & Jaana M. Kinnunen & Mirte A. G. Kuipers & Irene Moor & Gaetano Roscillo & Joana Alves & Arja Rimpelä & Bruno Federico & Matthias Richter , 2017. "Social network and inequalities in smoking amongst school-aged adolescents in six European countries," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(1), pages 53-62, January.
    3. Fujimoto, Kayo & Valente, Thomas W., 2012. "Social network influences on adolescent substance use: Disentangling structural equivalence from cohesion," Social Science & Medicine, Elsevier, vol. 74(12), pages 1952-1960.
    4. Hans-Peter Kohler & Jere Behrman & Susan Watkins, 2001. "The density of social networks and fertility decisions: evidence from south nyanza district, kenya," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 43-58, February.
    5. William Rogers, 1994. "Regression standard errors in clustered samples," Stata Technical Bulletin, StataCorp LP, vol. 3(13).
    6. Andrew E. Clark & Youenn Loheac, 2003. "It wasn't me, It was them! A Study of Social Influence in Risky Behaviour by Adolescents," DELTA Working Papers 2003-01, DELTA (Ecole normale supérieure).
    7. Mackenbach, Johan P., 2012. "The persistence of health inequalities in modern welfare states: The explanation of a paradox," Social Science & Medicine, Elsevier, vol. 75(4), pages 761-769.
    8. Mercken, Liesbeth & Snijders, Tom A.B. & Steglich, Christian & de Vries, Hein, 2009. "Dynamics of adolescent friendship networks and smoking behavior: Social network analyses in six European countries," Social Science & Medicine, Elsevier, vol. 69(10), pages 1506-1514, November.
    9. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    10. Diana Mok & Barry Wellman & Juan Carrasco, 2010. "Does Distance Matter in the Age of the Internet?," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2747-2783, November.
    11. Stuber, Jennifer & Galea, Sandro & Link, Bruce G., 2008. "Smoking and the emergence of a stigmatized social status," Social Science & Medicine, Elsevier, vol. 67(3), pages 420-430, August.
    12. Li, Xiaoyu & Kawachi, Ichiro & Buxton, Orfeu M. & Haneuse, Sebastien & Onnela, Jukka-Pekka, 2019. "Social network analysis of group position, popularity, and sleep behaviors among U.S. adolescents," Social Science & Medicine, Elsevier, vol. 232(C), pages 417-426.
    13. A James O’Malley & Samuel Arbesman & Darby Miller Steiger & James H Fowler & Nicholas A Christakis, 2012. "Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    14. Juan David Robalino & Michael Macy, 2018. "Peer effects on adolescent smoking: Are popular teens more influential?," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-12, July.
    15. Homish, Gregory G. & Leonard, Kenneth E., 2005. "Spousal influence on smoking behaviors in a US community sample of newly married couples," Social Science & Medicine, Elsevier, vol. 61(12), pages 2557-2567, December.
    16. Bell, Kirsten & Salmon, Amy & Bowers, Michele & Bell, Jennifer & McCullough, Lucy, 2010. "Smoking, stigma and tobacco 'denormalization': Further reflections on the use of stigma as a public health tool. A commentary on Social Science & Medicine's Stigma, Prejudice, Discrimination and Healt," Social Science & Medicine, Elsevier, vol. 70(6), pages 795-799, March.
    17. Hafner-Burton, Emilie M. & Kahler, Miles & Montgomery, Alexander H., 2009. "Network Analysis for International Relations," International Organization, Cambridge University Press, vol. 63(3), pages 559-592, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Yi & Guo, Guang, 2020. "Heterogeneous peer effects on marijuana use: Evidence from a natural experiment," Social Science & Medicine, Elsevier, vol. 252(C).
    2. Chih‐Sheng Hsieh & Xu Lin, 2021. "Social interactions and social preferences in social networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 165-189, March.
    3. Collonnaz, Magali & Riglea, Teodora & Kalubi, Jodi & O'Loughlin, Jennifer & Naud, Alexandre & Kestens, Yan & Agrinier, Nelly & Minary, Laetitia, 2022. "Social network analysis to study health behaviours in adolescents: A systematic review of methods," Social Science & Medicine, Elsevier, vol. 315(C).
    4. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.
    5. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    6. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    7. Rees, Carter & Wallace, Danielle, 2014. "The myth of conformity: Adolescents and abstention from unhealthy drinking behaviors," Social Science & Medicine, Elsevier, vol. 108(C), pages 34-45.
    8. repec:dau:papers:123456789/10720 is not listed on IDEAS
    9. Carpiano, Richard M. & Fitz, Nicholas S., 2017. "Public attitudes toward child undervaccination: A randomized experiment on evaluations, stigmatizing orientations, and support for policies," Social Science & Medicine, Elsevier, vol. 185(C), pages 127-136.
    10. Paul Frijters & Asad Islam & Chitwan Lalji & Debayan Pakrashi, 2019. "Roommate effects in health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 998-1034, August.
    11. Hinnosaar, Marit & Liu, Elaine M., 2022. "Malleability of Alcohol Consumption: Evidence from Migrants," Journal of Health Economics, Elsevier, vol. 85(C).
    12. Joan Costa-i-Font & Mireia Jofre-Bonet, 2008. "Body Image and Food Disorders: Evidence from a Sample of European Women," CESifo Working Paper Series 2412, CESifo.
    13. Marta Favara & Alan Sanchez, 2017. "Psychosocial competencies and risky behaviours in Peru," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-40, December.
    14. Benjamin Elsner & Ingo E. Isphording, 2018. "Rank, Sex, Drugs, and Crime," Journal of Human Resources, University of Wisconsin Press, vol. 53(2), pages 356-381.
    15. Choi, Jaesung & Park, Hyunjoon & Behrman, Jere R., 2015. "Separating boys and girls and increasing weight? Assessing the impacts of single-sex schools through random assignment in Seoul," Social Science & Medicine, Elsevier, vol. 134(C), pages 1-11.
    16. Zenou, Yves & Patacchini, Eleonora & Liu, Xiaodong, 2011. "Peer Effects in Education, Sport, and Screen Activities: Local Aggregate or Local Average?," CEPR Discussion Papers 8477, C.E.P.R. Discussion Papers.
    17. David G. Blanchflower & Andrew J. Oswald & Bert Van Landeghem, 2009. "Imitative Obesity and Relative Utility," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 528-538, 04-05.
    18. Elaine M. Hernandez & Mike Vuolo & Laura C. Frizzell & Brian C. Kelly, 2019. "Moving Upstream: The Effect of Tobacco Clean Air Restrictions on Educational Inequalities in Smoking Among Young Adults," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1693-1721, October.
    19. Haque, Samiul & Abedin, Naveen & Fakir, Adnan M. S. & Hannan, Rafe & Alam, Rafa, 2019. "Effects of smoking on agricultural productivity," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291149, Agricultural and Applied Economics Association.
    20. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    21. Papachristos, Andrew V. & Wildeman, Christopher & Roberto, Elizabeth, 2015. "Tragic, but not random: The social contagion of nonfatal gunshot injuries," Social Science & Medicine, Elsevier, vol. 125(C), pages 139-150.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:260:y:2020:i:c:s0277953620304263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.