Literature DB >> 29900209

Dataset on the prevalence of tobacco smoking in men and women of selected countries whit difference human development.

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


Specifications Table Value of the data Evaluating the effect of human development index (HDI) on tobacco smoking prevalence among men and women is required for various countries. In order to avoid the adverse health effect of tobacco smoking, policy-makers need to be focused on socioeconomic factors affecting smoking prevalence. This study indicated that in order to prevent smoking, action plans should be designed based on different age groups. This study showed that the lifestyle of women in developed countries is different from those in developing countries, and this increases the risk of non-communicable diseases.

Data

The data required for this study included: the prevalence of tobacco smoking among men and women, the prevalence of cigarette smoking among men and women, and human development index (HDI), (Table 1).
Table 1

Prevalence of tobacco smoking among men and women, the prevalence of cigarette smoking among men and women, and human development index.

CountryCTS in menCTS in womenDTS in menDTS in womenCCS in menCCS in womenDCS in menDCS in womenHDI 2015
Benin12.50.710.40.58.80.28.20.10.485
Congo471.733.81.128.80.824.70.50.592
Ethiopia8.50.46.10.27.10.15.60.10.448
Kenya20.81.316.40.717.30.414.70.40.555
Mauritius413.331.21.536.72.8291.10.781
Rwanda21.44.8173.715.2111.910.498
Senegal16.80.414.10.313.90.111.50.10.494
Canada17.312.712.4916.612.112.390.92
Costa Rica17.76.511.13.915.65.893.10.776
Mexico22.17.112.8420.36.412.23.80.762
America25.119.6181420.215.815.812.40.92
Egypt48.90.344.20.237.60.131.90.10.691
Austria32.22924.322.930.42723.821.90.893
Azerbaijan43.50.333.20.234.20.327.30.20.759
Bulgaria45.430.635.821.341.228.333.320.40.794
Croatia4033.735.428.836.13029.721.90.827
Czech Republic38.630.330.121.432.32528.921.10.878
Denmark19.819.915.415.917.818.812.711.80.925
Iceland15.914.911.611.91211.811.19.50.921
Ireland26.323.820.418.222.920.917.916.10.923
Italy28.119.823.716.227.319.422.6160.887
Luxembourg26.821.420.116.624.418.317.313.90.898
Norway21.720.714.914.716.417.212.911.60.949
Poland33.823.828.719.63121.927.117.70.855
Sweden19.519.510.111.91216.39.38.90.913
Ukraine48.213.74310.245.212.839.88.90.743
Australia1713.514.81213.410.911.99.30.939
Brunei Darussalam30.92.124.11.525.41.719.81.20.865
China48.7242.31.743.91.838.21.30.738
Japan34.711.429.69.433.410.9288.80.903
Lao People's Democratic Republic52.17.744.76.2406.138.240.586
Malaysia43134.40.736.60.831.50.60.789
Philippines41.5831.95.837.36.829.25.20.682
Republic of Korea426.239.35.339.65.937.64.90.901
Viet Nam46.4137.60.80.628.30.836.40.68
Prevalence of tobacco smoking among men and women, the prevalence of cigarette smoking among men and women, and human development index. HDI showed a positive significant correlation with current tobacco smoking (CTS) (r = 0.63, p < 0.001) and daily tobacco smoking (DTS) (r = 0.62, p < 0.001) in women. However, the same correlations were not significant for men (r = -0.005, p = 0.9 and r = -0.02, p = 0.8, respectively), (Fig. 1).
Fig. 1

Correlation 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.

Correlation 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. HDI was correlated positively and significantly with current cigarette smoking (CCS) (r = 0.64, p < 0.001) and daily cigarette smoking (DCS) (r = 063, p < 0.001) among women. The same correlations were not significant for men (r = 0.09, p = 0.58 and r = 0.06, p = 0.72, respectively), (Fig. 2).
Fig. 2

Correlation 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.

Correlation 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. Linear regression was applied to investigate the effect of HDI on the prevalence of smoking among men and women. HDI showed a significant relationship with prevalence of CTS (B = 43.87, CI 95%: 24.97, 62.78) and DTS (B = 33.74, CI 95%: 18.89, 48.59) among women, and not the prevalence of CTS (B = −0.45, CI 95%: −29.97, 29.06) and DTS (B = 3.25, CI 95%: −28.88, 24.79) for men (Table 2). Despite for men, the prevalence of CCS and DCS among women had a statistically significant relationship with HDI (Table 3).
Table 2

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 variableDependent variableBp-Value95% Confidence interval
HDI
Current tobacco smoking−0.450.97(−29.97 to 29.06)
Daily tobacco smoking−3.250.87(−28.88 to 24.79)











HDI
Current cigarette smoking7.040.58(−18.80 to 32.89)
Daily cigarette smoking4.090.72(−19.49 to 27.68)
Table 3

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 variableDependent variableBp-Value95% Confidence Interval
HDI
Current tobacco smoking43.87< 0.001(24.97– 62.78)
Daily tobacco smoking33.74< 0.001(18.89–48.59)











HDI
Current cigarette smoking40.54> 0.001(23.61–57.46)
Daily cigarette smoking30.72< 0.001(17.51–43.93)
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. 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.

Experimental design, materials and methods

Study countries description

Tobacco smoking is introduced as a major preventable cause of death and risk factor for cardiovascular diseases [1], [2], [3], [4], [5]. Human development index is combined of three parts, including life expectancy at birth, mean years of schooling, and gross national income per capita [6], [7], and its value is between 0 and 1 [8]. The information about the prevalence of tobacco smoking and HDI was acquired from the World Health Organization (WHO) and United Nations Development Programme (UNDP) websites, respectively [8], [9]. Due to lack of information for a constant baseline year, only countries were included in this study that their prevalence of tobacco smoking was reported for 2015.

Analytical procedures

In this study, Pearson's correlation and linear regression were used to analyze the possible correlation between indices and the relationship between variables, respectively. All the statistical analyses were performed using STATA 14.
Subject areaNursing and Health profession
More specific subject areaenvironmental science
Type of dataTable and figure
How data was acquiredSecondary data
Data formatRaw and analyzed
Experimental factorsLinear Regression Analysis and Pearson Correlation Coefficient using STATA software were used to examine the relationship between the indicators mentioned in the abstract.
Experimental featuresThe relationship between the Human Development Index and the prevalence of tobacco and cigarette smoking was investigated in men and women
Data source locationData Obtained from: World Health Organization and United Nations Development Programme
Data accessibilityData are available from:
http://www.who.int/tobacco/global_report/2013/full_dataset/en/
http://hdr.undp.org/sites/default/files/2016_human_development_report.pdf
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