Socioeconomic inequalities in current daily smoking in five Turkish regions

Spotlight on nurses' smoking prevalence and addiction in Istanbul, Türkiye, the leading country in the implementation of WHO MPOWER policies

OBJECTIVE

Türkiye is the leading country that has been applying the MPOWER criteria of the World Health Organization for years. However, the prevalence of smoking among nurses appears to be high, according to the literature. Therefore, we aimed to determine the prevalence, addiction levels, and dynamics of tobacco smoking among nurses in Türkiye.

METHOD

In this descriptive cross-sectional study, a questionnaire (prepared in cooperation with the "World Health Organization") and the Fagerström Test for Nicotine Dependence were administered to 529 nurses working at a tertiary-care university hospital in 2020. Logistic regression was performed to determine factors predicting smoking.

RESULTS

The prevalence of smoking among nurses was 32.7% (n = 173). The mean Fagerström test score indicated a "low dependence" level (score: 3 ± 2.6). Both results were higher for males. A relationship was found between trying smoking cigarette and hookah. Of the "current smokers" group, 102 (60.4%) stated that they wanted to quit smoking. Only 21 (27.6%) of the nurses who have tried to quit smoking thus far have received professional help.

CONCLUSION

The prevalence of smoking among nurses working at a tertiary-care university hospital was relatively low compared to that among nurses in Türkiye. While females are normally expected to smoke less, the high prevalence of smoking among nurses (most of them female) raises the question of the professional basis of this situation. However, the low rate of receiving professional help reveals the lack of promotion and accessibility of smoking cessation outpatient clinics in the faculty environment. Finally, the perception that hookah is an alternative tobacco product leads to cigarette smoking. The good news was that nurses had a low dependency rate.

Occupational class and educational level inequalities in major cardiovascular risk factors in Turkey: 2008-2016

BACKGROUND

We aimed to investigate the magnitude of occupational class (OC) and educational level (EL) inequalities in cardiovascular risk factors in Turkey from 2008 to 2016 and compare these inequalities with neighbouring European countries.

METHODS

We used the Turkey Health Survey among a representative sample of the Turkish population. We estimated relative index of inequality (RII) for four cardiovascular risk factors (obesity/overweight, hypertension, diabetes, smoking) by OC/EL with an interaction term for survey year and compared selected results with neighbouring countries.

RESULTS

Men with lower OC and EL smoked more (e.g. RII for EL = 1.40 [1.26-1.55]); however, the remaining risk factors were mostly lower in these groups. Women in lower socio-economic groups smoked less (e.g. RII for EL = 0.36 [0.29-0.44]), however, had higher prevalence of the remaining risk factors. Significant interactions with survey year were only found in a few cases. The pattern of inequalities in Turkey is largely similar to neighbouring countries.

CONCLUSIONS

Inequalities in cardiovascular risk factors are less systematic in Turkey than in most high-income countries, but ongoing trends suggest that this may change in the future.

Trends in socioeconomic inequalities in smoking in Turkey from 2008 to 2016

Background

Smoking inequalities in Turkey were previously demonstrated in an early stage of the smoking epidemic model. This paper aimed to assess the trends for socioeconomic inequalities in smoking in Turkey over the years in the context of the smoking epidemic model using data from the Global Adult Tobacco Survey (GATS) Turkey 2008–2012-2016.

Methods

Cross-sectional data were analyzed to calculate the association of smoking with, wealth, education, occupation and place of residence using age-standardized prevalence rates, odds ratios, relative index of inequality (RII) and slope index of inequality (SII). The analysis was performed separately for age groups (younger: 20–39 years/older: 40 and above years) and sex.

Results

Younger women with higher wealth and older women with higher wealth and education smoked more. For both age groups, smoking was increased for working class and urban women. Relative wealth inequalities in smoking narrowed and then showed a reversal for younger women (RII₂₀₀₈ = 3.37; 95% CI:1.64–3.40; RII₂₀₁₂ = 2.19; 95% CI:1.48–3.24; RII₂₀₁₆ = 0.80; 95% CI:0.58–1.10, p-for trend < 0.0001). Relative educational inequalities in smoking for older women also showed a narrowing (RII₂₀₀₈ = 21.45; 95% CI:11.74–39.19; RII₂₀₁₂ = 15.25; 95% CI:9.10–25.55; and RII₂₀₁₆ = 5.48; 95% CI:3.86–7.78, p-for trend < 0.0001). For older women, a similar narrowing was observed for wealth (RII₂₀₀₈ = 3.94; 95% CI:2.38–6.53; RII₂₀₁₂ = 2.79; 95% CI:1.80–4.32; and RII₂₀₁₆ = 1.34; 95% CI:0.94–1.91, p-for trend = 0.0001). The only significant trend for absolute inequalities was for younger women by wealth. This trend showed a narrowing and then a reversal (SII₂₀₀₈ = 0.14; 95% CI:0.09–1.20; SII₂₀₁₂ = 0.12; 95% CI:0.06–0.18; and SII₂₀₁₆ = -0.05; 95% CI:-0.12–0.02, p-for trend = 0.0001). Unlike women, smoking in men showed inverse associations for wealth and education, although not statistically confirmed for all years. Smoking was increased in working classes and unemployed men in 2012 and 2016. Inequalities did not show a trend in relative and absolute terms for men.

Conclusions

For smoking inequalities in Turkey, a transition to the next stage was observed, although the previously defined Southern European pattern also existed. Low socioeconomic women deserve special attention as well as stressors at work and drivers of smoking at urban settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12200-x.

Ethnic disparities in educational and occupational gradients of estimated cardiovascular disease risk: The Healthy Life in an Urban Setting study

BACKGROUND

European societies are becoming increasingly ethnically diverse. This may have important implications for socio-economic inequalities in health due to the often disadvantaged position of ethnic minority groups in both socio-economic status (SES) and disease, especially cardiovascular disease (CVD).

OBJECTIVE

The aim of this study was to determine whether the socio-economic gradient of estimated CVD risk differs between ethnic groups.

METHODS

Using the Healthy Life in an Urban Setting study, we obtained data on SES and CVD risk factors among participants from six ethnic backgrounds residing in Amsterdam. SES was measured using educational level and occupational level. CVD risk was estimated based on the occurrence of CVD risk factors using the Dutch version of the systematic coronary risk evaluation algorithm. Ethnic disparities in socio-economic gradients for estimated CVD risk were determined using the relative index of inequality (RII).

RESULTS

Among Dutch-origin men, the RII for estimated CVD risk according to educational level was 6.15% (95% confidence interval [CI] 4.35-7.96%), indicating that those at the bottom of the educational hierarchy had a 6.15% higher estimated CVD risk relative than those at the top. Among Dutch-origin women, the RII was 4.49% (CI 2.45-6.52%). The RII was lower among ethnic minority groups, ranging from 0.83% to 3.13% among men and -0.29% to 5.12% among women, indicating weaker associations among these groups. Results were similar based on occupational level.

CONCLUSIONS

Ethnic background needs to be considered in associations between SES and disease. The predictive value of SES varies between ethnic groups and may be quite poor for some groups.

Regional inequalities in self-rated health and disability in younger and older generations in Turkey: the contribution of wealth and education

Background

In Turkey, large regional inequalities were found in maternal and child health. Yet, evidence on regional inequalities in adult health in Turkey remains fragmentary. This study aims to assess regional and rural/urban inequalities in the prevalence of poor self-rated health and in disability among adult populations in Turkey, and to measure the contribution of education and wealth of individual residents. The central hypothesis was that geographical inequalities in adult health exist even when the effect of education and wealth were taken into account.

Methods

We analyzed data of the 2002 World Health Survey for Turkey on 10791 adults aged 20 years and over. We measured respondents’ rating of their own general health and the prevalence of five types of physical disability. Logistic regression was used to estimate how much these two health outcomes varied according to urban/rural place of residence, region, education level and household wealth. We stratified the analyses by gender and age (‹50 and ≥50 years).

Results

Both health outcomes were strongly associated with educational level (especially for older age group) and with household wealth (especially for younger age group). Both health outcomes also varied according to region and rural/urban place of residence. Higher prevalence rates were observed in the East region (compared to West) with odd ratios varying between 1.40–2.76. After controlling for education and wealth, urban/rural differences in health disappeared, while regional differences were observed only among older women. The prevalence of poor self-rated health was higher for older women in the Middle (OR = 1.69), Black Sea (OR = 1.53) and East (OR = 2.06) regions.

Conclusion

In Turkey, substantial geographical inequalities in self-reported adult health do exist, but can mostly be explained by differences in socioeconomic characteristics of residents. The regional disadvantage of older women in the East, Middle and Black Sea may have resulted from life-long exposure to gender discrimination under a patriarchal ideology. Yet, not geographic inequalities, but the more fundamental socioeconomic inequalities, are of key public health concern, also in Turkey.

Socioeconomic inequalities in smoking in low and mid income countries: positive gradients among women?

BACKGROUND

In Southern Europe, smoking among older women was more prevalent among the high educated than the lower educated, we call this a positive gradient. This is dominant in the early stages of the smoking epidemic model, later replaced by a negative gradient. The aim of this study is to assess if a positive gradient in smoking can also be observed in low and middle income countries in other regions of the world.

METHODS

We used data of the World Health Survey from 49 countries and a total of 233,917 respondents. Multilevel logistic regression was used to model associations between individual level smoking and both individual level and country level determinants. We stratified results by education, occupation, sex and generation (younger vs. older than 45). Countries were grouped based on GDP and region.

RESULTS

In Eastern Europe and the Eastern Mediterranean, we observed a positive gradient in smoking among older women and a negative gradient among younger women. In Sub-Saharan Africa and Latin America no clear gradient was observed: inequalities were relatively small. In South-East Asia and East Asia a strong negative gradient was observed. Among men, no positive gradients were observed, and like women the strongest negative gradients were seen in South-East Asia and East Asia.

CONCLUSIONS

A positive socio-economic gradient in smoking was found among older women in two regions, but not among younger women. But contrary to predictions derived from the smoking epidemic model, from a worldwide perspective the positive gradients are the exception rather than the rule.