| Literature DB >> 29900209 |
Mina Riahi1, Ali Akbar Mohammadi2, Hosein Rohani3, Mohammad Bidkhori4.
Abstract
This study was conducted to investigate the effect of human development index (HDI) on tobacco smoking prevalence in men and women of countries which their data about tobacco smoking were available for 2015. Pearson's correlation coefficient and linear regression were used to investigate the association between HDI and all types of smoking, particularly cigarette. Daily smoking and current smoking were used as tobacco smoking indices. The information about prevalence of tobacco smoking and HDI was obtained from the World Health Organization (WHO) website and United Nations Development Programme (UNDP), respectively. The results showed that there is no statistically significant relationship between HDI and current tobacco smoking in men (B = -0.45_CI 95%: -29.97, 29.06). However, the same association was significant for women (B = 43.87, CI 95%: 24.97-62.78). The results indicated that women in developed countries are more at risk of health effects attributed to tobacco smoking. Countries should focus on socioeconomic factors to prevent the spread of risk factors for non-communicable diseases.Entities:
Keywords: Cigarette smoking; Human development index; Tobacco
Year: 2018 PMID: 29900209 PMCID: PMC5996263 DOI: 10.1016/j.dib.2018.03.043
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Prevalence of tobacco smoking among men and women, the prevalence of cigarette smoking among men and women, and human development index.
| Country | CTS in men | CTS in women | DTS in men | DTS in women | CCS in men | CCS in women | DCS in men | DCS in women | HDI 2015 |
|---|---|---|---|---|---|---|---|---|---|
| Benin | 12.5 | 0.7 | 10.4 | 0.5 | 8.8 | 0.2 | 8.2 | 0.1 | 0.485 |
| Congo | 47 | 1.7 | 33.8 | 1.1 | 28.8 | 0.8 | 24.7 | 0.5 | 0.592 |
| Ethiopia | 8.5 | 0.4 | 6.1 | 0.2 | 7.1 | 0.1 | 5.6 | 0.1 | 0.448 |
| Kenya | 20.8 | 1.3 | 16.4 | 0.7 | 17.3 | 0.4 | 14.7 | 0.4 | 0.555 |
| Mauritius | 41 | 3.3 | 31.2 | 1.5 | 36.7 | 2.8 | 29 | 1.1 | 0.781 |
| Rwanda | 21.4 | 4.8 | 17 | 3.7 | 15.2 | 1 | 11.9 | 1 | 0.498 |
| Senegal | 16.8 | 0.4 | 14.1 | 0.3 | 13.9 | 0.1 | 11.5 | 0.1 | 0.494 |
| Canada | 17.3 | 12.7 | 12.4 | 9 | 16.6 | 12.1 | 12.3 | 9 | 0.92 |
| Costa Rica | 17.7 | 6.5 | 11.1 | 3.9 | 15.6 | 5.8 | 9 | 3.1 | 0.776 |
| Mexico | 22.1 | 7.1 | 12.8 | 4 | 20.3 | 6.4 | 12.2 | 3.8 | 0.762 |
| America | 25.1 | 19.6 | 18 | 14 | 20.2 | 15.8 | 15.8 | 12.4 | 0.92 |
| Egypt | 48.9 | 0.3 | 44.2 | 0.2 | 37.6 | 0.1 | 31.9 | 0.1 | 0.691 |
| Austria | 32.2 | 29 | 24.3 | 22.9 | 30.4 | 27 | 23.8 | 21.9 | 0.893 |
| Azerbaijan | 43.5 | 0.3 | 33.2 | 0.2 | 34.2 | 0.3 | 27.3 | 0.2 | 0.759 |
| Bulgaria | 45.4 | 30.6 | 35.8 | 21.3 | 41.2 | 28.3 | 33.3 | 20.4 | 0.794 |
| Croatia | 40 | 33.7 | 35.4 | 28.8 | 36.1 | 30 | 29.7 | 21.9 | 0.827 |
| Czech Republic | 38.6 | 30.3 | 30.1 | 21.4 | 32.3 | 25 | 28.9 | 21.1 | 0.878 |
| Denmark | 19.8 | 19.9 | 15.4 | 15.9 | 17.8 | 18.8 | 12.7 | 11.8 | 0.925 |
| Iceland | 15.9 | 14.9 | 11.6 | 11.9 | 12 | 11.8 | 11.1 | 9.5 | 0.921 |
| Ireland | 26.3 | 23.8 | 20.4 | 18.2 | 22.9 | 20.9 | 17.9 | 16.1 | 0.923 |
| Italy | 28.1 | 19.8 | 23.7 | 16.2 | 27.3 | 19.4 | 22.6 | 16 | 0.887 |
| Luxembourg | 26.8 | 21.4 | 20.1 | 16.6 | 24.4 | 18.3 | 17.3 | 13.9 | 0.898 |
| Norway | 21.7 | 20.7 | 14.9 | 14.7 | 16.4 | 17.2 | 12.9 | 11.6 | 0.949 |
| Poland | 33.8 | 23.8 | 28.7 | 19.6 | 31 | 21.9 | 27.1 | 17.7 | 0.855 |
| Sweden | 19.5 | 19.5 | 10.1 | 11.9 | 12 | 16.3 | 9.3 | 8.9 | 0.913 |
| Ukraine | 48.2 | 13.7 | 43 | 10.2 | 45.2 | 12.8 | 39.8 | 8.9 | 0.743 |
| Australia | 17 | 13.5 | 14.8 | 12 | 13.4 | 10.9 | 11.9 | 9.3 | 0.939 |
| Brunei Darussalam | 30.9 | 2.1 | 24.1 | 1.5 | 25.4 | 1.7 | 19.8 | 1.2 | 0.865 |
| China | 48.7 | 2 | 42.3 | 1.7 | 43.9 | 1.8 | 38.2 | 1.3 | 0.738 |
| Japan | 34.7 | 11.4 | 29.6 | 9.4 | 33.4 | 10.9 | 28 | 8.8 | 0.903 |
| Lao People's Democratic Republic | 52.1 | 7.7 | 44.7 | 6.2 | 40 | 6.1 | 38.2 | 4 | 0.586 |
| Malaysia | 43 | 1 | 34.4 | 0.7 | 36.6 | 0.8 | 31.5 | 0.6 | 0.789 |
| Philippines | 41.5 | 8 | 31.9 | 5.8 | 37.3 | 6.8 | 29.2 | 5.2 | 0.682 |
| Republic of Korea | 42 | 6.2 | 39.3 | 5.3 | 39.6 | 5.9 | 37.6 | 4.9 | 0.901 |
| Viet Nam | 46.4 | 1 | 37.6 | 0.8 | 0.6 | 28.3 | 0.8 | 36.4 | 0.68 |
Fig. 1Correlation between HDI and prevalence of tobacco smoking. a: current tobacco smoking in men, b: current tobacco smoking in woman c: daily tobacco smoking in men d: daily tobacco smoking in women.
Fig. 2Correlation between HDI and prevalence of cigarette smoking. a: current cigarette smoking in men, b: current cigarette smoking in woman c: daily cigarette smoking in men d: daily cigarette smoking in women.
Effect of HDI on: prevalence of current tobacco smoking, prevalence of daily tobacco smoking, prevalence of current cigarette smoking and prevalence of daily cigarette smoking in men 2015.
| Independent variable | Dependent variable | B | 95% Confidence interval | |
|---|---|---|---|---|
| HDI | ||||
| Current tobacco smoking | −0.45 | 0.97 | (−29.97 to 29.06) | |
| Daily tobacco smoking | −3.25 | 0.87 | (−28.88 to 24.79) | |
| HDI | ||||
| Current cigarette smoking | 7.04 | 0.58 | (−18.80 to 32.89) | |
| Daily cigarette smoking | 4.09 | 0.72 | (−19.49 to 27.68) |
Effect of HDI on: prevalence of current tobacco smoking, prevalence of daily tobacco smoking, prevalence of current cigarette smoking and prevalence of daily cigarette smoking in women 2015.
| Independent variable | Dependent variable | B | 95% Confidence Interval | |
|---|---|---|---|---|
| HDI | ||||
| Current tobacco smoking | 43.87 | < 0.001 | (24.97– 62.78) | |
| Daily tobacco smoking | 33.74 | < 0.001 | (18.89–48.59) | |
| HDI | ||||
| Current cigarette smoking | 40.54 | > 0.001 | (23.61–57.46) | |
| Daily cigarette smoking | 30.72 | < 0.001 | (17.51–43.93) |
| Subject area | Nursing and Health profession |
| More specific subject area | environmental science |
| Type of data | Table and figure |
| How data was acquired | Secondary data |
| Data format | Raw and analyzed |
| Experimental factors | Linear Regression Analysis and Pearson Correlation Coefficient using STATA software were used to examine the relationship between the indicators mentioned in the abstract. |
| Experimental features | The relationship between the Human Development Index and the prevalence of tobacco and cigarette smoking was investigated in men and women |
| Data source location | Data Obtained from: World Health Organization and United Nations Development Programme |
| Data accessibility | Data are available from: |
| http://hdr.undp.org/sites/default/files/2016_human_development_report.pdf |