Smoking in context - a multilevel approach to smoking among females in Helsinki

Relationship between Tobacco Craving and Quality of Life among French Students: Results of a Cross-Sectional Study

BACKGROUND

Understanding the factors leading to smoking cessation is of primary importance in reducing the death burden. Recently introduced in the DSM-5, craving is a potentially promising mechanism involved in relapse, but its articulation with quality of life and deprivation on tobacco student's consumers has never been investigated.

OBJECTIVES

Our study explores the relationship between tobacco craving and sub-dimensions of quality of life when controlling effect of deprivation on a youth population with tobacco consumption.

METHOD

Comparison between deprived and non-deprived students were conducted with online questionnaires on demographic data, level of dependency, perceived quality of life, deprivation and craving. Multivariate linear regression with backward procedure was conducted to assess the predictive validity of these variables on craving. Finally, Bayesian analysis was conducted to evaluate the model proposed by the regression.

RESULTS

One hundred and seventy-four participants were included. Craving was significantly correlated with all the other variables and increases when the level of deprivation rises, while it decreases when physical health improves. These results are confirmed by Bayesian linear regression. Conclusions/Importance: Environmental and social factors are usually overlooked when it comes to understanding individuals, deeply rooted biological mechanisms such as craving. Working on physical health is of interest to diminished craving and improves the quality of life during smoking cessation and thereby to support success on the student population. Consequences for the triadic neurocognitive model of addiction are discussed.

Children who have received no routine polio vaccines in Nigeria: Who are they and where do they live?

Nigeria has made remarkable progress against polio, but 2 wild polio virus cases were reported in August 2016; putting an end to 2 y without reported cases. We examined the extent of geographical disparities in childhren not vaccinated against polio and examined individual- and community-level predictors of non-vaccination in Nigeria. We applied multilevel logistic regression models to the recent Nigeria Demographic and Health Survey. The percentage of children not routinely vaccinated against polio in Nigeria varied greatly and clustered geographically, mainly in north-eastern states, with a great risk of spread of transmission within these states and potential exportation to neighboring states and countries. Only about one-third had received all recommended 4 routine oral polio vaccine doses. Non-vaccinated children tended to have a mother who had no formal education and who was currently not working, live in poorer households and were from neighborhoods with higher maternal illiteracy rates.

Assessment of the ecological bias of seven aggregate social deprivation indices

Background

In aggregate studies, ecological indices are used to study the influence of socioeconomic status on health. Their main limitation is ecological bias. This study assesses the misclassification of individual socioeconomic status in seven ecological indices.

Methods

Individual socioeconomic data for a random sample of 10,000 persons came from periodic health examinations conducted in 2006 in 11 French departments. Geographical data came from the 2007 census at the lowest geographical level available in France. The Receiver Operating Characteristics (ROC) curves, the areas under the curves (AUC) for each individual variable, and the distribution of deprived and non-deprived persons in quintiles of each aggregate score were analyzed.

Results

The aggregate indices studied are quite good “proxies” for individual deprivation (AUC close to 0.7), and they have similar performance. The indices are more efficient at measuring individual income than education or occupational category and are suitable for measuring of deprivation but not affluence.

Conclusions

The study inventoried the aggregate indices available in France and evaluated their assessment of individual SES.

Influence of socioeconomic position and gender on current cigarette smoking among people living with HIV in sub-Saharan Africa: disentangling context from composition

Background

Smoking is still gaining ground in Sub-Saharan Africa, especially among socially disadvantaged groups. People living with HIV represent a subgroup with a significantly elevated prevalence of cigarette smoking. The objective of the study was to examine the influence of individual-, neighbourhood- and country-level socioeconomic position on current cigarette smoking among people living with HIV in Sub-Saharan Africa.

Methods

We applied multivariable multilevel logistic regression analysis on Demographic and Health Survey data collected between 2003 and 2012 in sub-Saharan Africa. We identified 31,270 individual living with HIV (Level 1) nested within 7,054 neighbourhoods (Level 2) from 19 countries (Level 3).

Results

After adjustment for individual-, neighbourhood- and country-level factors, respondents, the following significant independent risk factors for increasing odds of being a current cigarette smokers among people living with HIV: male gender (odds ratio [OR] = 62.49; 95 % credible interval [CrI] 45.93 to 78.28), from the poorer households (OR = 1.62, 95 % CrI 1.38 to 1.90); living in urban areas (OR = 1.24, 95 % CrI 1.09 to 1.41), from neighbourhoods with low poverty rate (OR = 1.25, 95 % CrI 1.09 to 1.43), illiteracy rate (OR = 1.28, 95 % CrI 1.14 to 1.42), low unemployment rate (OR = 1.11, 95 % crI 1.01 to 1.43); and from countries with low socio-economic deprivation (OR = 1.53, 95 CrI 1.08 to 1.96). About 3.4 % and 39.4 % variation in cigarette smoking behaviour among people living with HIV is conditioned by differences between neighbourhoods and countries.

Conclusions

Gender, education and socioeconomic context are independently associated with current cigarette smoking among people living with HIV in sub-Saharan Africa.

Unemployment Rate, Smoking in China: Are They Related?

Background: Studies on the relationship between unemployment rate and smoking have yielded mixed results. The issue in China has not been studied. This study aims to examine the influence of unemployment rate on smoking in China. Methods: Logit model and two-stage least squares (2SLS) estimation were used to estimate the effects. Estimations were done for 4585 individual over 45 using data from China Health and Retirement Longitudinal Study conducted in Zhejiang and Gansu provinces in 2008 and 2012. Results: A percent increase in the unemployment rate resulted in the increase in the likelihood of smoking by a combined 9.1 percent for those who smoked including a 2.9% increase for those who smoked 1–10 cigarettes per day; a 2.8% increase for those who smoked 11–20 cigarettes per day; and a 3.4% increase for those who smoked 20 cigarettes or more per day. The effects were stronger for those who were employed. Non-drinkers were more likely to engage in smoking with increased unemployment rate. 2SLS estimation revealed the same association. Conclusions: The unemployment rate was positively associated with smoking behavior. Smoking control and intervention strategies should focus on both the individual′s characteristics and the physical environment in which unemployment rate tend to rise.

A cross-sectional study of geographic differences in health risk factors among young Australian adults: the role of socioeconomic position

Background

It remains unclear why living outside of an urban environment affects aspects of health, particularly whether these differences can be explained by other factors such as socioeconomic position (SEP). The aim of this study was to compare health risk factors between metropolitan and non-metropolitan young Australian adults and examine whether socioeconomic position (SEP) mediates any differences.

Methods

Cross-sectional data came from an Australia-wide sample of 26–36 year-olds (n = 2567). Information on demographic characteristics, smoking, alcohol consumption, diet, physical activity (PA, mins/week) and mental health were collected by questionnaire, BMI from measured height and weight and daily steps using pedometers. Metropolitan versus non-metropolitan residence was classified from addresses. SEP included individual-level (education, occupation) and area-level measures. Prevalence ratios and ratio of means were calculated using log binomial, log multinomial and linear regression techniques.

Results

Non-metropolitan residents were less likely to meet 2 or more dietary guidelines, reported less leisure-time PA and active commuting but more occupational and domestic PA than metropolitan residents. Non-metropolitan women were more likely to smoke and be obese. No differences in mental health were found. After adjusting for SEP, differences remained significant except for leisure-time PA (men and women) and smoking (women).

Conclusions

Living outside metropolitan areas was associated with more risk factors in these young adults. Individual SEP and area-level disadvantage generally did not explain these differences, suggesting that a focus on geographic location as its own social determinant of health, beyond SEP, is warranted.

Neighborhood contextual factors for smoking among middle-aged Japanese: a multilevel analysis

The purpose of this study is to explore neighborhood contextual factors in terms of smoking behaviors among middle-aged Japanese, by using a multilevel analysis. Subjects were Japanese men and women, between 40 and 59 years of age (40,961 for the cross-sectional analysis, and 9,177 for the longitudinal analysis), nested in 39 neighborhoods (Kyuson). The results showed that women in a less residentially stable neighborhood were more likely to be smokers. No associations were seen between current smoking and neighborhood deprivation; however, women in the most deprived neighborhood were more likely to quit smoking. This study is the first to demonstrate the associations between neighborhood environment and current smoking or smoking cessation, in a Japanese setting. The findings imply that policy makers should consider targeting neighborhood conditions in order to help reduce smoking prevalence, especially among women.

Individual and spousal unemployment as predictors of smoking and drinking behavior

The effects of unemployment on health behaviors, and substance use in particular, is still unclear despite substantial existing research. This study aimed to assess the effects of individual and spousal unemployment on smoking and alcohol consumption. The study was based on eight waves of geocoded Framingham Heart Study Offspring Cohort data (US) from 1971 to 2008 that contained social network information. We fit three series of models to assess whether lagged 1) unemployment, and 2) spousal unemployment predicted odds of being a current smoker or drinks consumed per week, adjusting for a range of socioeconomic and demographic covariates. Compared with employment, unemployment was associated with nearly twice the subsequent odds of smoking, and with increased cigarette consumption among male, but not female, smokers. In contrast, unemployment predicted a one drink reduction in weekly alcohol consumption, though effects varied according to intensity of consumption, and appeared stronger among women. While spousal unemployment had no effect on substance use behaviors among men, wives responded to husbands' unemployment by reducing their alcohol consumption. We conclude that individual, and among women, spousal unemployment predicted changes in substance use behaviors, and that the direction of the change was substance-dependent. Complex interactions among employment status, sex, and intensity and type of consumption appear to be at play and should be investigated further.

Multilevel analysis of the determinants of smoking and second-hand smoke exposure in a tobacco-cultivating rural area of southwest China

OBJECTIVES

To examine contextual and individual demographical predictors of smoking and exposure to second-hand smoke (SHS) in a tobacco-cultivating rural area of southwest China.

METHODS

A cross-sectional survey of 4070 consenting individuals aged 18 years or more was conducted in 2010. Information on demographical characteristics, tobacco smoking status and SHS exposure were obtained by a standard questionnaire. Multilevel logistic regression was used to model the variation in prevalence of smoking and SHS exposure.

RESULTS

In the study population, the prevalence rates of smoking and exposure to SHS were 63.5% and 74.7% for men, and 0.6% and 71.2% for women, respectively. Men were more likely to use tobacco than women: OR 8.27, 95% CI (4.83 to 10.97). Age was inversely associated with the probability of tobacco use (OR 0.98, 95% CI 0.97 to 0.99), and exposure to SHS (OR 0.97, 95% CI 0.96 to 0.99). Individual educational level was inversely associated with smoking, but showed no association with exposure to SHS. Adults who did not grow tobacco were less likely to consume tobacco (OR 0.75, 95% CI 0.57 to 0.99) and to be exposed to SHS (OR 0.76, 95% CI 0.58 to 0.99). Living in a high-income community was associated with a low rate of current smoking (OR 0.66, 95% CI 0.57 to 0.77) and SHS exposure (OR 0.58, 95% CI 0.52 to 0.65).

CONCLUSIONS

Future interventions to reduce smoking and exposure to SHS in China should focus more on tobacco farmers, less-educated individuals and on poor rural communities.

Tabagismo, situação no mercado de trabalho e gênero: análise da PNAD 2008

O presente estudo teve como objetivo verificar se o tabagismo atual está associado à inserção no mercado de trabalho, após ajuste por escolaridade, renda e saúde em homens e mulheres; objetivou, também, discutir hipóteses explicativas. Foram estudados indivíduos de 15 a 64 anos, residentes em regiões metropolitanas brasileiras, pertencentes à população economicamente ativa, incluídos na Pesquisa Nacional por Amostra de Domicílios (2008). Razão de prevalência (RP) e intervalo de 95% de confiança (IC95%) foram obtidos pela regressão de Poisson. Após ajustes, o tabagismo foi estatisticamente maior em indivíduos inseridos no trabalho sem proteção social (homens, RP = 1,31, IC95%: 1,24-1,38; mulheres, RP = 1,22, IC95%: 1,12-1,31) e desempregados (homens, RP = 1,31, IC95%: 1,18-1,44; mulheres, RP = 1,16, IC95%: 1,03-1,32). Prevalências mais altas de tabagismo foram observadas nos homens inseridos no trabalho sem proteção social. Nossos resultados confirmam que a situação no mercado de trabalho é uma dimensão independente das desigualdades sociais no tabagismo. O gradiente social observado foi mais acentuado nos homens, mas a associação entre inserção no trabalho e tabagismo está presente nos dois gêneros.