Poor social relations and adverse health behaviour: stronger associations in low socioeconomic groups?

Weyers, Simone; Dragano, Nico; Möbus, Susanne; Beck, E. M.; Stang, Andreas; Möhlenkamp, Stephan; Jöckel, Karl Heinz; Erbel, Raimund; Siegrist, Johannes

doi:10.1007/s00038-009-0070-6

Cited by 40 publications

(51 citation statements)

References 16 publications

(12 reference statements)

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“…The prevalence rate of current smokers (9.0 %) was significantly below the average for the entire country (20.6 % in 2009), the state (22 %), northeast TN and Central Appalachia (28.9 %), and the Southeast USA (range 19-26 %) [1] and is more consistent with prevalence rates reported in studies linking SES with smoking [11,13,29] and other health behaviors [30][31][32][33]. The demographic characteristics (age, gender, and race/ethnicity) of tobacco users in this study, which was confirmed with the proportion of the total sample, appeared to be consistent with those of the general population.…”

Section: Discussionsupporting

confidence: 58%

Tobacco use and impact of tobacco-free policy on university employees in an environment of high tobacco use and production

Veeranki

Mamudu

2012

Environ Health Prev Med

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Objective To assess occupational tobacco use and the impact of a tobacco-free policy in the Central Appalachia, an environment characterized by high tobacco use and production. Methods This study was an Internet-based survey conducted on 2,318 university employees. Descriptive, chisquare, and logistic regression statistics were performed. Unadjusted and adjusted odds ratios (AOR) with respective 95 % confidence intervals (CI) were reported. Results The survey response rate was 50.8 %; of the respondents, 9.0 % were current smokers. Smoking prevalence among faculty, administrators/professionals, and clerical/support staff was 6.1, 8.1, and 13.1 %, respectively. While those respondents aged 30-39 years showed a significantly increased likelihood of being a current smoker (AOR 5.64, 95 % CI 1.31-9.26), knowledge that secondhand smoke is harmful (AOR 0.22, 95 % CI 0.07-0.70) and support for tobacco-free policy (AOR 0.11, 95 % CI 0.04-0.27) decreased the likelihood. Conclusion Low tobacco use among faculty and administrators confirmed the relationship between tobacco use and socio-economic status, even in a tobacco-producing environment. Disaggregation of tobacco use data assists the public health community in the efficient allocation of efforts and resources for cessation programs to reduce tobacco use in such environments.

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Section: Discussionsupporting

confidence: 58%

Tobacco use and impact of tobacco-free policy on university employees in an environment of high tobacco use and production

Veeranki

Mamudu

2012

Environ Health Prev Med

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“…However, social support (Yun, Kang, Lim, Oh, & Son, 2010) and social cohesion (Chuang & Chuang, 2008; Li et al, 2012) may be associated with higher smoking rates in groups with high rates of smoking. Emotional social support (Weyers et al, 2010) and neighborhood social cohesion (Cleland et al, 2010; Cradock, Kawachi, Colditz, Gortmaker, & Buka, 2009; Pabayo, Belsky, Gauvin, & Curtis, 2010; Shelton et al, 2011; Utter, Denny, Robinson, Ameratunga, & Milfont, 2011; Echeverria, Diez-Roux, Shea, Borrell, & Jackson, 2008) are often associated with greater, and loneliness with less (Hawkley, Thisted, & Cacioppo, 2009; Shankar et al, 2011), physical activity, although associations are inconsistent for social support (Debnam, Holt, Clark, Roth, & Southward, 2012; Poortinga, 2006b) loneliness (Lauder et al, 2006) and social cohesion (Ball et al, 2010; Veitch et al, 2012) in similar large, diverse samples. Emotional social support is also associated with greater fruit and vegetable intake (Poortinga, 2006a; Debnam et al, 2012).…”

Section: Introduction1mentioning

confidence: 99%

Social engagement and chronic disease risk behaviors: The Multi-Ethnic Study of Atherosclerosis

Samuel

Himmelfarb

Szklo

et al. 2015

Preventive Medicine

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Objective Although engagement in social networks is important to health, multiple different dimensions exist. This study identifies which dimensions are associated with chronic disease risk behaviors. Method Cross-sectional data on social support, loneliness, and neighborhood social cohesion from 5381 participants, aged 45–84 from the Multi-Ethnic Study of Atherosclerosis was used. Results After adjusting for individual characteristics and all social engagement variables, social support was associated with lower smoking prevalence (PR=0.88, 95% CI: 0.82, 0.94), higher probability of having quit (PR=1.03, 95% CI: 1.01, 1.06) and a slightly higher probability of achieving physical activity recommendations (PR=1.03, 95% CI: 1.01, 1.06). Neighborhood social cohesion was associated with very slightly higher probability of achieving recommended (PR=1.03, 95% CI: 1.01, 1.05) or any regular (PR=1.0, 95% CI: 1.01, 1.04) physical activity, and a higher probability of consuming at least five daily fruit and vegetable servings (PR=1.05, 95% CI: 1.01, 1.09). Conclusion Both social support and neighborhood social cohesion, a less commonly considered aspect of social engagement, appear to be important for chronic disease prevention interventions and likely act via separate pathways.

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“…In various studies social relations were shown to be an important health determinant (Berkman and Glass 2000;Cohen 2004;Holt-Lunstad et al 2010;House et al 1988) and a contributing factor to health behaviour (Weyers et al 2010). Generally, structural and functional aspects are distinguished regarding social relations (Berkman and Glass 2000;Cohen 2004).…”

Section: Introductionmentioning

confidence: 99%

Do social relations explain health inequalities? Evidence from a longitudinal survey in a changing eastern German region

Klein

Vonneilich

Baumeister

et al. 2012

Int J Public Health

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Poor social relations and adverse health behaviour: stronger associations in low socioeconomic groups?

Abstract: Given the important role of health adverse behaviour in chronic disease development, results underline the relevance of social environment and socio-economic structure in Public Health interventions.

Cited by 40 publications

References 16 publications

Tobacco use and impact of tobacco-free policy on university employees in an environment of high tobacco use and production

Tobacco use and impact of tobacco-free policy on university employees in an environment of high tobacco use and production

Social engagement and chronic disease risk behaviors: The Multi-Ethnic Study of Atherosclerosis

Do social relations explain health inequalities? Evidence from a longitudinal survey in a changing eastern German region

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