Maarit Kauppi1, Marko Elovainio2, Sari Stenholm3, Marianna Virtanen4, Ville Aalto4, Markku Koskenvuo5, Mika Kivimäki6, Jussi Vahtera7. 1. Finnish Institute of Occupational Health, Lemminkäisenkatu 14-18 B (DataCity), 20520 Turku, Finland. Electronic address: maarit.kauppi@ttl.fi. 2. IBS, University of Helsinki, Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland. 3. National Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Turku, Turku, Finland. 4. Finnish Institute of Occupational Health, Turku and Helsinki, Finland. 5. Department of Public Health, University of Helsinki, Helsinki, Finland. 6. Finnish Institute of Occupational Health, Turku and Helsinki, Finland; Department of Epidemiology and Public Health, University College London Medical School, London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Finland. 7. Department of Public Health, University of Turku, Turku, Finland; Turku University Hospital, Turku, Finland.
Abstract
OBJECTIVE: To determine the associations between social network size and subsequent long-term health behaviour patterns, as indicated by alcohol use, smoking, and physical activity. METHODS: Repeat data from up to six surveys over a 15- or 20-year follow-up were drawn from the Finnish Public Sector study (Raisio-Turku cohort, n=986; Hospital cohort, n=7307), and the Health and Social Support study (n=20,115). Social network size was determined at baseline, and health risk behaviours were assessed using repeated data from baseline and follow-up. We pooled cohort-specific results from repeated-measures log-binomial regression with the generalized estimating equations (GEE) method using fixed-effects meta-analysis. RESULTS: Participants with up to 10 members in their social network at baseline had an unhealthy risk factor profile throughout the follow-up. The pooled relative risks adjusted for age, gender, survey year, chronic conditions and education were 1.15 for heavy alcohol use (95% CI: 1.06-1.24), 1.19 for smoking (95% CI: 1.12-1.27), and 1.25 for low physical activity (95% CI: 1.21-1.29), as compared with those with >20 members in their social network. These associations appeared to be similar in subgroups stratified according to gender, age and education. CONCLUSIONS: Social network size predicted persistent behaviour-related health risk patterns up to at least two decades.
OBJECTIVE: To determine the associations between social network size and subsequent long-term health behaviour patterns, as indicated by alcohol use, smoking, and physical activity. METHODS: Repeat data from up to six surveys over a 15- or 20-year follow-up were drawn from the Finnish Public Sector study (Raisio-Turku cohort, n=986; Hospital cohort, n=7307), and the Health and Social Support study (n=20,115). Social network size was determined at baseline, and health risk behaviours were assessed using repeated data from baseline and follow-up. We pooled cohort-specific results from repeated-measures log-binomial regression with the generalized estimating equations (GEE) method using fixed-effects meta-analysis. RESULTS:Participants with up to 10 members in their social network at baseline had an unhealthy risk factor profile throughout the follow-up. The pooled relative risks adjusted for age, gender, survey year, chronic conditions and education were 1.15 for heavy alcohol use (95% CI: 1.06-1.24), 1.19 for smoking (95% CI: 1.12-1.27), and 1.25 for low physical activity (95% CI: 1.21-1.29), as compared with those with >20 members in their social network. These associations appeared to be similar in subgroups stratified according to gender, age and education. CONCLUSIONS: Social network size predicted persistent behaviour-related health risk patterns up to at least two decades.
Authors: Juan Pablo Ospina; Anna G Larson; Rozita Jalilianhasanpour; Benjamin Williams; Ibai Diez; Amar Dhand; Bradford C Dickerson; David L Perez Journal: J Affect Disord Date: 2019-07-30 Impact factor: 4.839
Authors: Neda Agahi; Lucas Morin; Marianna Virtanen; Jaana Pentti; Johan Fritzell; Jussi Vahtera; Sari Stenholm Journal: J Epidemiol Community Health Date: 2021-09-23 Impact factor: 3.710