Smokeless Tobacco use among Male and Female in Northeast State, India

Table of contents

1. I. Introduction and Review of Literatures

onsumption of tobacco kills approx six million people each year moreover, it is the measure threat of disease and death [1,2]. Tobacco is the most important oral cavity and pharyngeal cancer risk factors. Approximately 90% of people with mouth cancer are tobacco users. Some 7.5% of the world's (53.9 million) deaths were attributable to tobacco use in 1998 and if same smoking patterns continue, that number will Author ? ?: National Institute of Medical Statistics, Indian Council of Medical Research, Medical Enclave, Ansari Nagar, New Delhi, India. e-mails: [email protected], [email protected] rise to 10 million deaths annually by 2030 [3]. Tobacco can be consumed both in smoke and smokeless form.

Smokeless tobacco is tobacco that is not burned; it is also known as chewing tobacco, oral tobacco, spit or spitting tobacco, dip, chew, and snuff. Harmful health effects of smokeless tobacco include: mouth, tongue, cheek, gum, and throat cancer. Smokeless tobacco also causes nicotine addiction. South Asian people consume smokeless tobacco the most. More than one third of total tobacco consumption in this region is in the form of smokeless tobacco [4][5][6]. Smokeless tobacco consumption in south Asia is a major public health threat, in India (prevalence: 18.4%), Bangladesh (32.6%), Sri Lanka (6.9%) and Nepal (6%) by the estimation of WHO [7].

India is the second most populous country and one of the world's largest producers and consumers of tobacco. Here, tobacco is available in a variety of different types and brands e.g. bidi, gutkka, khaini, pan masala, hookah, cigarettes etc [3] and also the form of consumption varies from place to place like smoke cheroot in Odisha and Andhra Pradesh, dry snuff in western part, while creamy snuff in northeast part of India. Mostly the tobacco is consumed in smokeless form in northeast states. The prevalence of tobacco consumption in India, either smoked or smokeless tobacco, in the population aged 15 year and above was 47 per cent among men and 14 per cent among women while overall prevalence was 37 percent [8,9]. Consumption of smokeless tobacco products in India is increasing rapidly [10,11], which is showing a negative effects for both male and female. As smokeless tobacco is quite famous among women, affecting their oral morbidity and perinatal health, including premature delivery, low birth weight and shortened length [12][13][14][15][16][17] In northeast states of the India, smokeless tobacco is a part of the socio cultural [18]. They have different customs, food habits, life-style, diverse ethnic groups, type and pattern of tobacco consumption as compared to the rest of the country. Research have shown that in northeast states, betel quid (55.4%), is the most popular smokeless tobacco followed by tuibur (13.1%), gul (12.0%) and khaini (9.1%), Gul and tubur are primarily used by women and recent study shows that the prevalence of smokeless tobacco in northern, eastern and northeast states is 8.4%, 31.8% and 23.8% [18][19][20]. Betel quid is a combination of betel leaf, areca nut, and slaked lime. Like other smokeless tobacco products, betel quid and gutka are known to cause Esophageal cancer, Lip cancer, Mouth cancer, Pharynx cancer, Tongue cancer. The most harmful cancercausing substances in smokeless tobacco are tobacco-specific nitrosamines (TSNAs). TSNA levels vary by product, but the higher the level the greater the cancer risk.

2. Table 1 : Prevalence of smokeless tobacco use in northeast States India by sex

Table 1 shows the prevalence of smokeless tobacco, Meghalaya, Tripura and Mizoram was higher in women while in Arunachal Pradesh, Manipur, Nagaland and Sikkim males are consuming more smokeless tobacco in GATS (2009-2010), while in DLHS (2012-2013) Meghalaya, Manipur and Tripura have the highest prevalence of smokeless tobacco among both male and female in DLHS (2012-2013). Hence, the objective of this study is to examine the prevalence of smokeless tobacco consumption among male and female in northeast state, India and to study the socioeconomic demographic characteristics correlates with tobacco use in the form of smokeless tobacco only.

3. II. Data and Methods

characteristics (result not shown). For computation of age-adjusted prevalence rate, we use 2011 census data, RGI, Govt. of India as the standard population structure. We computed the standard age proportion by dividing the age-specific census population by the total census population number and standardizing proportion sum to 1. Then, age-adjusted factors for 6 (six) age grouping (10 year intervals each) were used for computation of age-adjusted prevalence. Binary logistic regression was applied to measure the association and to check the net effect of factors on the current consumers for males and females. Variance inflation factor (VIF) of all the variables were computed to check collinearity prior to inclusion in multivariate logistic regression problem of collinearity among independent variables not found (highest VIF, 2.36). The results of logistic regression, are presented in the form of estimated odds-ratios with 95% CI. The whole analysis was performed using STATA version 13.0 with survey commands and R software. Ethical statement: This study is based on data available in public domain, therefore no ethical issue is involved. Data for this study was taken from the fourth round of the District Level Household Survey (DLHS-4) conducted during 2012-13. DLHS-4 adopted a multistage stratified systematic sampling design. Detailed information about sampling employed in this survey can be obtained from the DLHS-4 report. All seven states, namely, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim separate CAB (Clinical Anthropometric and Biochemical) data files (excluding Assam) were merged together for this study. The outcome variable included in the analysis is "personal habit of age 15 and above using smokeless tobacco". Where the response was further divided into two categories like "Current Consumption" and "No Consumption" the household members was considered current consumers if they had responded that they were consuming (smokeless tobacco) and they coded as 1, while the never consumers, ex-consumers and don't know (0.3%) are coded as 0. To measure level of prevalence and association of smokeless tobacco with factors, this study used both bivariate and multivariate analyses. Chi-square test is used to check the association of the current users with selected characteristics like age, literacy, occupation etc Table 2 presents the unweighted count of sampled respondents and population estimates classified by selected socio demographic and occupational background. The estimated population of person age 15 year and above in northeast state in DLHS (2012-2013) was 143,729 where 67,930 were male and 75,799 were female respondent were taken as unit of analysis.

4. III. Results and Discussion

5. a) Differentials in current smokeless tobacco consumption

(70.1%) having the highest adjusted prevalence than female (55.8%). We have also found that the wide variation in adjusted and unadjusted age prevalence especially non working male and unmarried male, female. Among states, Meghalaya have the highest prevalence followed by Mizoram.

6. b) Factors associated with smokeless tobacco consumption

Table 4 presents odds ratio among male and female after performing logistic regression models which examine the effect of individuals household and The prevalence of smokeless tobacco consumption among male and female in our study is 69.6% and 50.8%. Present study reveals that education is significantly associated with smokeless tobacco consumption. This is consistent with observations that those with lower level of education are more likely to consume smokeless tobacco [23,24]. In this study, the age wise prevalence of smokeless tobacco consumption is higher as the age advanced and the highest rate is found in the age group of 20-34 and 35-59 years and then declined after 60 years in both the sexes, similar finding was also reported [23,25]. Those who are married have a higher rate of smokeless tobacco consumption as compared to the unmarried respondents. This may be due to influences of the spouses consuming smokeless tobacco. Similar association between smokeless tobacco consumption and marital status was also reported [25].

7. IV. Conclusion

In northeast states, India smokeless tobacco consumption is strongly associated with the level of education, religion, caste, marital status, occupation and place of residence. A comprehensive ban on tobacco advertising, promotion and sponsorship needs to be implemented according to the standard outlined in 'Article 13' in the WHO Framework Convention on Tobacco Control. Display and visibility of smokeless tobacco products at points of sale constitutes advertising and promotion and should therefore be banned [22]. In addition to proper enforcement of the new law, there is a need for a nationwide campaign educating people in both rural and urban areas about the law and health risks of smokeless tobacco.

8. V. Acknowledgments

The authors gratefully acknowledge members of the study field team including who were involved in mapping/listing and main survey team during data collection in northeast states. The authors also acknowledge all the respondent for their active participation in this study.

Figure 1. 5 )Figure 1 . 1 :
511Figure 1.1 : Age wise prevalence of smokeless tobacco use by gender
Figure 2. Figure 1 .
1Figure1.1 shows age wise prevalence of smokeless tobacco consumption among male and female in northeast states, India. From the above figure, the male are consuming more amounts of smokeless tobacco then the female while the Consumption of smokeless tobacco increases with the age till 40-44 after which it starts decline in both the gender.The prevalence of smokeless tobacco consumption among male and female in our study is 69.6% and 50.8%. Present study reveals that education is significantly associated with smokeless tobacco consumption. This is consistent with observations that those with lower level of education are more likely to consume smokeless tobacco[23,24]. In this study, the age wise prevalence of smokeless tobacco consumption is higher as the age advanced and the highest rate is found in the age group of 20-34 and 35-59 years and then declined after 60 years in both the sexes, similar finding was also reported[23,25]. Those who are married have a higher rate of smokeless tobacco consumption as compared to the unmarried respondents. This may be due to influences of the spouses consuming smokeless tobacco. Similar association between smokeless tobacco consumption and marital status was also reported[25].
Figure 3.
AR MN MG TR NG SK MZ
Smokeless tobacco, GATS( 2009-2010)
Male 44.9 52.1 20.7 39.4 53.1 27.6 32.6
Female 27.7 37.0 35.9 43.5 36.6 23.3 49.1
Smokeless tobacco, DLHS-4 (2012-2013)
Male 56.8 65.6 86.7 66.6 64.2 39.3 79.3
Female 33.7 51.4 87.2 65.8 34.5 23.6 77.4
Source: GATS 2009-2010 and DLHS 2012-2013
AR : Arunachal Pradesh, MN: Manipur, MG: Meghalaya, TR: Tripura, NG: Nagaland, SK: Sikkim, MZ:
Mizoram
D D D D ) K
(
Figure 4. Table 2 :
2
Smokeless Tobacco use among Male and Female in Northeast State, India
community characteristics on current smokeless
tobacco consumption in northeast states, India. The
results show that age group, social group, sex and
education are significantly associated with current
smokeless tobacco consumptions in both sexes. In
table 4 the male in age group (20-34 and 35-59) are 3
times more consuming smokeless tobacco than the
males in age group (15-19). Non ST, non Christian and
the males who are unmarried are consuming less
smokeless tobacco than ST, Christian and married
males.
Background Male (n=67,930) Female (n=75,799) Total Year 2016
characteristics Percent Sample size Percent Sample size (N=143,729)
Age
15-19 47.6 7,512 52.4 8,263 15,775
20-34 42.9 21,552 57.1 28,628 50,180
35-59 48.1 28,578 51.9 30,860 59,438
60+ 56.1 10,288 43.9 8,048 18,336
Level of education
Illiterate 35.0 11,196 65.0 20,753 31,949
Below Middle 46.8 16,066 53.2 18,229 34,295
Middle 50.2 16,636 49.8 16,473 33,109
Secondary 54.2 24,049 45.8 20,359 44,408
Religion
Christian 47.1 39667 52.9 44520 84,187
Non Christian 47.5 28280 52.5 31294 59,574
Caste
Scheduled tribe 47.2 51243 52.8 57390 108,633
Nonscheduled tribe 47.6 16704 52.4 18424 35,128
Occupation Working 69.5 41,633 30.5 18,302 59,935 ( D D D D ) K
Not working Marital status Unmarried Married Place of residence Urban Rural States 31.4 51.4 45.9 46.4 47.6 26,314 18,634 49,311 16,832 51,115 68.6 48.6 54.1 53.6 52.4 57,512 17,653 58,159 19,442 56,372 83,826 36,287 107,470 36,274 107,487 Medical Research
Arunachal Pradesh Manipur Meghalaya Mizoram Nagaland Tripura Sikkim Total 47.8 46.1 39.2 48.8 50.0 48.3 46.8 47.2 17643 10678 5429 11720 14456 3260 4761 67,930 52.2 53.9 60.8 51.2 50.0 51.7 53.2 52.8 19272 12473 8407 12309 14460 3486 5407 75,799 36,915 23,151 13,836 24,029 28,916 6,746 10,168 143,729 Global Journal of
Source: Based on authors' computation.
Note: 3 Volume XVI Issue III Version I © 2016 Global Journals Inc. (US)
Figure 5. Table 3 :
3
Background Male (n=67,930) Female (n=75,799)
characteristics Crude Age adjusted Crude Age adjusted
Level of education
Illiterate 65.2 (0.4) 66.7 (1.0) 47.2 (0.7) 46.9 (0.8)
Below Middle 68.1 (0.7) 66.9 (0.7) 54.5 (0.7) 52.7 (0.7)
Middle 65.4 (0.7) 64.6 (0.7) 52.6 (0.7) 51.9 (0.7)
Secondary 63.8 (0.7) 62.6 (0.4) 49.7 (0.7) 50.4 (0.8)
Religion
Hindu 61.7 (0.7) 59.2 (0.6) 48.6 (0.9) 46.9 (0.9)
Christian 69.8 (0.6) 70.1 (0.6) 56.0 (0.7) 55.8 (0.7)
Others 56.3 (0.7) 54.7 (0.7) 37.0 (0.8) 36.2 (0.9)
Caste
Scheduled tribe 66.9 (0.5) 66.4 (0.5) 51.9 (0.6) 51.3 (0.6)
Scheduled caste 62.8 (1.6) 60.3 (1.4) 48.7 (1.9) 47.2 (1.2)
OBC 55.1 (1.2) 53.5 (1.2) 42.4 (1.1) 41.3 (1.1)
Others 63.1 (0.9) 60.7 (0.9) 49.7 (1.1) 47.5 (1.1)
Occupation
Working status 71.7 (0.4) 71.3 (0.5) 57.5 (0.7) 56.2 (0.7)
Not working 55.7 (0.5) 61.2 (0.5) 48.7 (0.6) 48.6 (0.6)
Marital status
Unmarried 54.5 (0.6) 61.4 (0.9) 43.0 (0.7) 51.4 (0.7)
Married 69.6 (0.4) 70.7 (0.5) 53.3 (0.6) 52.8 (0.6)
Place of residence
Urban 65.7 (0.7) 65.0 (0.7) 53.9 (1.3) 52.9 (1.2)
Rural 65.3 (0.5) 64.1 (0.5) 49.3 (0.5) 48.5 (0.5)
States
Arunachal Pradesh 57.0 (0.7) 55.4 (0.6) 33.8 (0.8) 33.4 (0.7)
Manipur 65.4 (1.2) 64.1 (1.2) 51.9 (1.2) 50.5 (1.1)
Meghalaya 86.8 (1.2) 86.9 (1.2) 87.2 (1.1) 86.3 (1.1)
Mizoram 79.4 (0.6) 78.7 (0.6) 77.4 (0.6) 76.5 (0.6)
Nagaland 64.3 (1.1) 65.9 (1.2) 34.5 (0.9) 36.1 (0.9)
Tripura 66.6 (1.8) 64.4 (1.
Figure 6. Table 4 :
4
Background Male (n=67,930) Female (n=75,799)
characteristics Odds Ratio p value Odds Ratio p value
Age
15-19 # 1 1
20-34 3.18 0.00 2.56 0.00
35-59 3.05 0.00 2.64 0.00
60+ 1.19 0.00 1.50 0.00
Level of education
Illiterate 1.24 0.00 0.97 0.56
Below Middle 1.28 0.00 1.14 0.00
Middle 1.16 0.00 1.15 0.00
Secondary # 1 1
Religion
Non Christian # 1 1
Christian 1.78 0.00 1.87 0.00
Caste
Non Scheduled tribe # 1 1
Scheduled tribe 0.92 0.08 0.81 0.00
Occupation
Working # 1 1
Not working 2.45 0.00 2.3 0.00
Marital status
Unmarried # 1 1
Married 1.50 0.00 1.17 0.00
Place of residence
Rural # 1 1
Urban 1.07 0.103 1.20 0.00
Source: Based on authors' computation. # : reference category
1

Appendix A

  1. Prevalence and Determinants of Tobacco Use in India: Evidence from Recent Global Adult Tobacco Survey Data. A Singh , Ladusingh . PLOS ONE 2014. December 4, 2014.
  2. Cancer in north-east region in India, 2004-05.
  3. Leading cause of death, illness and impoverishment, F. s Nu339 (ed.) 2013.
  4. Global Adult Tobacco Survey (GATS), (Bangladesh
    ) 2009.
  5. Global Research Priorities for Tobacco Control, cohosted by Research for International Tobacco Control (RITC) and the World Health Organization (WHO), March 1999. Washington, DC, USA.
  6. Guidelines for implementation of Article 13 of the WHO Framework Convention on Tobacco Control (Tobacco advertising, promotion and sponsorship). World Health Organization 2008.
  7. Prevalence and Correlates of Smokeless Tobacco Consumption among Married Women in Rural Bangladesh. Hossain Sh . PLOS one 2014. January 8, 2014.
  8. International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-3), 2008. India; Maharashtra. Mumbai: IIPS. p. .
  9. Government of India; and Centers for Disease Control and Prevention. K S Reddy , P C Gupta . Ministry of Health and Family Welfare, (U.S.A
    ) 2004. (World Health Organisation)
  10. Ministry of Health and Family Welfare (MoHFW), Government of India. International Institute for Population Sciences (IIPS), (Mumbai
    ) 2010. GATS India. p. . (Global Adult Tobacco Survey India report) (: International Institute for Population Sciences)
  11. Tobacco use in India: Prevalence and predictors of smoking and chewing in a national cross sectional household survey. M Rani , S Bonu , P Jha , S N Nguyen , L Jamjourm . http://www.tobaccocontrol.com/cgi/content/full/12/4/e4 TobControl 2003. 28 June, 2011. 12.
  12. Smokeless tobacco and cancer. P Boffetta , S Hecht , N Gray , P Gupta , K Straif . 10.1016/S1470-2045(08. 18598931. Lancet Oncol 2008. 9 p. .
  13. Smokeless tobacco use, birth weight, and gestational age: population based, prospective cohort study of 1217 women in Mumbai. P C Gupta , S Subramoney . 15198947. BMJ 2004. 328 p. 1538.
  14. Smokeless tobacco use, birth weight, and gestational age: population based, prospective cohort study of 1217 women in Mumbai. P C Gupta , S Subramoney . 15198947. BMJ 2004. 2004. 328 p. 1538.
  15. Smokeless tobacco use and risk of stillbirth: a cohort study in Mumbai. P C Gupta , S Subramoney . India. Epidemiology 2006. 17 p. .
  16. Smokeless tobacco use, birth weight, and gestational age: population based, prospective cohort study of 1217 women in Mumbai. P Gupta , S Sreevidya . BMJ 2004. 328 p. 1538.
  17. Effect of tobacco chewing by mothers on fetal outcome. R C Verma , M Chansoriya , K K Kaul . 6862608. Indian Pediatr 1983. 1983. 20 p. .
  18. Tobacco use in Tunisia: behavior and awareness. R Fakhfakh , M Hsairi , M Maalej , N Achour , T Nacef . Bull World Health Organ 2002. 80 p. .
  19. Smoking, educational status and healthy equity in India. R Gupta . Indian J Med Res 2006. 124 p. .
  20. Cervical and oral cancer screening in India. R Sankaranarayanan , K Dinshaw , B M Nene , K Ramadas , P O Esmy , K Jayant . 17227640. J Med Screen 2006. 13 (1) p. . (Suppl)
  21. Use of Smokeless Tobacco by Indian Women Aged 18-40 Years during Pregnancy and Reproductive Years. Saritha Nair . PLOS ONE 2015. March 18, 2015.
  22. Strength of association of increased placental weight and smokeless tobacco use in pregnancy. S Krishnamurthy . Indian J Pediatr 1991. 58 p. .
  23. Tobacco use and nicotine dependency in a cross-sectional representative sample of 18,018 individuals in Andaman and Nicobar Islands. S P Manimunda . http://www.biomedcentral.com/1471-2458/12/515.Accessed23 India. BMC Public Health 2012. 2012. January 2013. 12.
  24. A study on prevalence of chewing form of tobacco and existing quitting patterns in urban population in Jamnagar, Gujarat. U Joshi , B Modi , S Yadav . Indian J Community Med 2010. 35 p. .
  25. WHO Report on the Global Tobacco Epidemic. World Health Organization M. r. s. o. a. s. t. u. i. W. M States (ed.) 2013.
Notes
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© 2016 Global Journals Inc. (US)
Date: 2016-01-15