Cigarette Smoking, Mental Health and Social Support

Daniel, Mark; Cargo, Margaret; Lifshay, Julie; Green, Lawrence W.

doi:10.1007/bf03403633

Cited by 40 publications

(25 citation statements)

References 49 publications

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“…The BSD has established concurrent and discriminant validity 19. Positive and negative affect were measured using the two 5-item scales of the Affect Balance Scale20 which have been used with other indigenous populations 21. Recent analysis of this measure confirmed its psychometric validity22 (in this study, negative affect balance scale α=0.54 and positive affect balance scale α=0.67).…”

Section: Methodssupporting

confidence: 51%

Exploring relationships between racism, housing and child illness in remote indigenous communities

Priest

Paradies

Stevens

et al. 2010

J Epidemiol Community Health

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Background Although racism is increasingly acknowledged as a determinant of health, few studies have examined the relationship between racism, housing and child health outcomes. Methods Cross-sectional data from the Housing Improvement and Child Health study collected in ten remote indigenous communities in the Northern Territory, Australia were analysed using hierarchical logistic regression. Carer and householder self-reported racism was measured using a single item and child illness was measured using a carer report of common childhood illnesses. A range of confounders, moderators and mediators were considered, including socio-demographic and household composition, psychosocial measures for carers and householders, community environment, and health-related behaviour and hygienic state of environment.

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Section: Methodssupporting

confidence: 51%

Exploring relationships between racism, housing and child illness in remote indigenous communities

Priest

Paradies

Stevens

et al. 2010

J Epidemiol Community Health

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“…Indeed, indigenous people are displaying rates of smoking often double the average of the broader population. [5][6][7][8] These patterns have emerged in the context of comprehensive tobacco policy environments. For example, low income people in developed countries are now most likely to start and maintain tobacco use despite increasing taxes and prices and widespread public health messaging and health knowledge about the dangers of smoking.…”

mentioning

confidence: 99%

Tobacco policies and vulnerable girls and women: toward a framework for gender sensitive policy development

Greaves

Jategaonkar

2006

Journal of Epidemiology & Community Health

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This article assesses the effects of comprehensive tobacco control policies on diverse subpopulations of girls and women who are at increased vulnerability to tobacco use because of disadvantage. The authors report on a recent assessment of experimental literature examining tobacco taxation; smoking location restrictions in public and private spaces; and sales restrictions. A comprehensive search was undertaken to identify relevant studies and evaluation reports. Gender based and diversity analyses were performed to identify pertinent sex differences and gender influences that would affect the application and impact of the policy. Finally, the results were contextualised within the wider literature on women's tobacco use and women's health. The authors consider not only the intended policy effects, but also explicitly examine the gendered and/or unintended consequences of these policies on other aspects of girls and women's health and wellbeing. A framework for developing gender sensitive tobacco programmes and policies for low income girls and women is provided.

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“…A recent study from Canada found that, among especially marginalised populations, self mastery and social support were significantly lower among smokers compared to non-smokers. 18 In the present study we analyse the relationship between unemployment and smoking. We are also interested in examining the role of psychosocial factors as potential mediators for the relationship.…”

mentioning

confidence: 99%

Unemployment and smoking: does psychosocial stress matter?

Vogli

2005

Tob Control

104

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Aim: Research indicates that cigarette smoking is strongly associated with unemployment. However, little is known regarding the underlying mechanisms explaining this relationship. The aim of this study is to examine the role of psychosocial factors as potential mediators between unemployment and smoking. Participants: 4002 non-institutionalised, civilian adults living in the Veneto region of Italy. Design: The study was based on a computer assisted telephone interview (CATI). Linear by linear association tests were used to examine bivariate associations between unemployment, psychosocial factors, and smoking. Logistic regression models were developed to analyse the relationship between unemployment and smoking when adjusting for psychological factors. Results: The odds of smoking among the unemployed was 2.78 times (95% confidence interval (CI) 1.68 to 4.62) greater than that of higher managers and professionals controlling for demographic factors. The relationship between unemployment and smoking weakened (odds ratio 2.41, 95% CI 1.43 to 4.05) when psychosocial factors were entered into the analysis. The odds of the inability to control important things in life was 1.39 times (95% CI 1.11 to 1.75) greater, and the odds of emotional isolation was 1.45 times (95% CI 1.06 to 1.99) greater, among smokers compared to non-smokers controlling, for all other factors. Conclusions: Given that the data were cross sectional, firm conclusions cannot be drawn regarding the causal pathway connecting unemployment and smoking. However, this study suggests that psychosocial factors such as the inability to control and emotional isolation may be plausible mediators for the relationship. C igarette smoking is considered one of the most serious risk factors for chronic diseases worldwide. In populations where smoking has been common for many decades, tobacco use accounts for a large proportion of mortality. Overall, it is thought to be responsible for 26.3% of deaths and 17.1% of disability adjusted life-years (DALYs) among males and 9.3% of deaths and 6.2% of DALYs among females in industrialised nations. Current smoking patterns are estimated to account for 2.4 million deaths each year in the same area.1 Cigarette smoking increases risk for lung cancer, upper aero digestive cancer, several other cancers, heart disease, stroke, chronic respiratory diseases, and a number of other medical conditions. It is responsible for approximately 90% of lung cancer in men and about 70% of lung cancer among women.1-3 The attributable fractions for chronic respiratory diseases and cardiovascular diseases are 56-80% and 22%, respectively.

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Cigarette Smoking, Mental Health and Social Support

Cited by 40 publications

References 49 publications

Exploring relationships between racism, housing and child illness in remote indigenous communities

Exploring relationships between racism, housing and child illness in remote indigenous communities

Tobacco policies and vulnerable girls and women: toward a framework for gender sensitive policy development

Unemployment and smoking: does psychosocial stress matter?

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