Tobacco Use Among Reproductive Age Women in Ethiopia: Evidence from the National Health Survey.

PURPOSE: To assess the prevalence and determinants of current tobacco use among reproductive-age women in Ethiopia.
METHODS: A cross-sectional study was conducted by utilizing secondary data taken from the Ethiopian Demographic Health Survey of 2016. Descriptive statistics and logistic regressions were used to analyze the data. The odds ratio with a 95% confidence interval was considered to interpret associations and a significant association was stated at a p-value < 0.05.
RESULTS: The overall magnitude of current tobacco use was 1.4% (n= 217). Majority of them 59.91% (n= 130) smoke cigarettes and followed by smoking gaya 43.32% (n= 94). Higher prevalence was found among participants from Gambella 44.24% (n= 96), Benishangul.59% (n= 36) and afar regions 13.36% (n= 29). Age group of 25-34 years [AOR = 2.78; 95% CI: 1.69, 4.57)], age group of ≥ 35 years [AOR = 4.24; 95% CI: 2.54, 7.07)], followers of protestant religion [AOR = 2.36; 95% CI: 4.17, 9.42], Islamic religion [AOR = 3.92; 95% CI: 2.16, 7.11], and traditional religion [AOR = 16.23; 95% CI: 8.33, 31.61], being in poorest wealth index [AOR = 15.78; 95% CI: 7.38, 33.70], poorer wealth index [AOR = 5.85; 95% CI: 2.64, 12.97], middle wealth index [AOR = 3.61; 95% CI: 1.57, 8.29], and richer wealth index [AOR = 2.48; 95% CI: 1.10, 5.85], who were never in union [AOR = 0.31; 95% CI: 0.14, 0.67], ever drinking alcohol [AOR = 5.44; 95% CI: 3.71, 7.95] and ever chewing khat [AOR = 7.59; 95% CI: 4.99, 11.55] were factors associated with current tobacco use.
CONCLUSION: Women used tobacco in different forms, and its distribution varies across Ethiopian regional states. The concerned body needs to give attention to the identified associated factors and regions with higher tobacco use.

Background

Tobacco is one of the vastly used substances and a top cause of escapable morbidity and mortality worldwide.1,2 The deaths of around seven million persons annually are due to direct tobacco use, and about 600,000 deaths as of secondary smoke.3

Globally, tobacco use among men is gradually decreasing. However, it is increasing speedily among women especially in developing countries.4,5 Tobacco-linked deaths might increase from 1.5 million in 2004 to 2.5 million through 2030 among women aged ≥ 20 years, and nearly 75% of this anticipated death will be happening in low- and middle-income countries.6

In Africa, both smoking rates and tobacco-linked deaths are increasing as the prevalence was increased from 9.8% in 2015 to 13.9% in 2016 as well as tobacco-related death was increased from 150,000 reported in 1990 to over 215,000 in 2016.7

In Ethiopia, there was no study about tobacco use specifically among reproductive-age women. However, a nationwide study revealed the prevalence of current tobacco use among adult populations age 15–59 years was 4.1% (8.1% in men and 0.8% in women).8 Additionally, Ethiopia Global Adult Tobacco Survey 2016, reported, 5.0% (3.4 million) of adults were current users of tobacco products (8.1% among men and 1.8% among women).9 In Ethiopia, tobacco is used in different forms including smoking cigarettes, smoking pipeful of tobacco, chewing tobacco, smoking snuff, smoking shisha, and smoking Gaya.8 Among these smoking cigarettes, smoking shisha, and smoking Gaya are the commonest form of tobacco use. Despite the high prevalence of tobacco-related diseases including lung cancer, cardiac diseases, and duodenal ulcers in Ethiopia, tobacco use is socially acceptable.10

Tobacco use affects women’s physical and psychological health, socio-economic status, and their family’s health.11 Women who consume tobacco are at more risk of menstrual, reproductive health problems, and chronic diseases.11 Tobacco use at the time of pregnancy could cause adverse pregnancy outcomes and impair child growth and development.12–14 It was also, significantly associated with Low Birth Weight, reduced birth Length, stillbirth, neonatal death, and sudden infant death syndrome (SIDS). Breastfeeding is of shorter duration among women who smoke than among non-smokers due to smokers may produce less breast milk than non-smokers.15,16

WHO intended the Framework Convention on Tobacco Control (WHO FCTC) as a global reply to tobacco increases.17 Ethiopia signed the convention to ratify the WHO Framework Convention on Tobacco Control (FCTC) in 2004 and ratified in 2014 and gave the mandate for implementing the WHO FCTC to the Ethiopian Food, Medicine and Healthcare Administration and Control Authority (FMHACA). Subsequently, FMHACA issued the National Tobacco Control Directive (NTCD 2015) on 21 March 2015.18 This legislation aimed at reducing demand, discouraging tobacco use, and reducing the supply of tobacco products. The NTCD 2015 prohibits, among other things, the sale of flavored tobacco products including menthol, the sale of tobacco products to a person under the age of 18 years, and bans all forms of tobacco advertising, promotion, and sponsorship. However, as many Africans did not realize their responsibilities charted in the WHO FCTC,19 NTCD 2015 legislation has major gaps like allowing smoking designated rooms in some prohibited places.

Previous studies showed the association between tobacco use among reproductive-age women and variables including the accessibility of tobacco products, illiteracy, more than two parity, advertising and promotion of tobacco products, stress, parental hostility, strictness, and family conflict, level of parental supervision, involvement, or attachment, parental or other household members’ smoking, peer smoking, perceived norms and prevalence of smoking, and perceived peer attitudes toward smoking.20,21 In Ethiopia, even if there was no study regarding tobacco use among reproductive-age women, the community-based studies revealed that tobacco use has an association with variables like male gender, increasing age, being a follower of Islam, being in formal employment, having experience of child death, chewing khat and geographic regions.8,22,23

In the current study analysis, we included factors that comprise sociodemographic variables (age, religion, current marital status, residence, educational status, wealth index, and occupation within the last 12 months), and ever substance use (drinking alcohol and chewing khat). We included these variables because we hypothesized that they are good determinants of current tobacco use as we read from the previous studies.8,20–23 Also, these variables were accessible from EDHS of 2016 Dataset. However, we have missed some important variables like the history of mental illness, parental hostility, strictness, and family conflict, level of parental supervision, involvement, or attachment, and partners or other household members’ tobacco use because we could not get them from EDHS of 2016 Dataset.

The other important point is, using a smokeless form of tobacco (SLT) had a lack of data informing their popularity, and because of this, it has monitored in many fewer countries than smoking tobacco.1 Similarly, in Ethiopia, there is no data analyzed at national and regional levels regarding tobacco use among reproductive-age women. Having data on the magnitude of different forms of tobacco and factors associated with overall current tobacco use is essential to evaluate and strengthen the existing national tobacco control policies of Ethiopia especially, among a special group of populations like reproductive-age women.24

Therefore, this study was designed to assess the prevalence of different common forms of tobacco use and to identify determinants of the overall current tobacco use among reproductive-age women in Ethiopia using secondary data taken out from the EDHS 2016.

Methods

Data Sources and Setting

We conducted a cross-sectional study utilizing secondary data taken out from the most recent Ethiopian Demographic Health Survey of 2016 (EDHS 2016), which is a national survey conducted across the nine Ethiopian regional states and two administrative cities and composed data on health, demographic, and socio-economic indicators. Ethiopia is one of the Sub-Saharan African Countries located in the Horn of Africa, and is bordered by Eritrea to the north, Sudan to the west, Kenya to the south, Somalia to the east, and Djibouti to the northeast.25 EDHS 2016 was the fourth and most recent data in Ethiopia and collected from January to June 2016. The survey was conducted by the Central Statistical Agency (CSA) using a two-stage stratified sampling technique. In the first stage, regions of the country were stratified into urban and rural settings. Then, in the second stage representative households were selected and the survey interviewer interviewed only the pre-selected households without replacement. For this study, all reproductive-age women of 15 to 49 years old samples (n=15,683) of the 2016 EDHS were included. The questionnaires were adapted by EDHS from the DHS Program’s standard Demographic and Health Survey questionnaires to reflect the population and health-related issues relevant to Ethiopia. The details about the DHS methodology are published elsewhere,26,27 and also available at . In this study to make the article more objective, we had read the STROBE statement-checklist of items that should be included in reports of cross-sectional studies and we have addressed each thing listed on the check list.28

Study Variables

Dependent Variable

In our study, the dependent variable was “current tobacco use”, which means when participants used at least one form of tobacco enumerated in the 2016 EDHS data during the survey year and the respondents were asked a single question if they currently use any type of tobacco during the survey year. There were seven different forms of tobacco use in the 2016 EDHS database:

smoking cigarettes (yes/no), smoking pipeful of tobacco (yes/no), chewing tobacco (yes/no), smoking snuff (yes/no), smoking shisha (yes/no), smoking Gaya (yes/no) and any other methods of tobacco use. (yes/no)

Then, “No” answers of each tobacco form were recorded as “0” and measured as participants were “non-current tobacco users”. Whereas “yes” answers were recorded as “1” and taken as they were “current tobacco users”. Then we added all “no” and “yes” replies that give a score of 0 to 7. Finally, zero scores were labeled as “non-current tobacco users”, whereas from 1 to 7 were labeled as “current tobacco users”.

Independent Variables

Independent variables were: age, place of residence, administrative regions, religion, educational status, wealth index, occupation within the last 12 months, current marital status, life time alcohol use (participants who had ever drunk any amount of alcohol at least once in their lifetime), and life time chewing khat (participants who had ever used any amount of khat at least once in their lifetime).

Statistical Analysis

We used descriptive statistics to describe socio-demographic characteristics of study participants, the overall magnitude of current tobacco use, and also to show the distribution of tobacco use across administrative regions. To identify associated factors, we did a logistic regression analysis. Variables with a p-value <0.25 in bivariate, were included in the multivariable model. Finally, after controlled the potential confounders in multivariable analysis, variables with a p-value <0.05 were concluded as statistically associated with the outcome variable. We calculated the odds ratio with a 95% confidence interval to identify the magnitude of association and statistical significance.

Results

Socio-Demographic and Other Substance Use Characteristics of Respondents

Our study included a total of 15,683 reproductive age women age 15 to49 years old. Their mean age (SD) was 27.94+-9.16 years. Nearly two-thirds of the participants (65.9%) were rural residents. Of the participants, 7033 (44.8%) have no formal education. More than a quarter (26.3%) of respondents were found within the poorest wealth index. The majority (62.6%) were married, and 7.2% (n=1122) of the total participants were currently pregnant. About 10,011 (63.8%) of the participants had no occupation (not working) in the last 12 months. About 5167 (32.9%) and 1556 (9.9%) of the respondents reported that they had ever used alcohol and ever chewed khat, respectively (Table 1).

Table 1

Socio-Demographic and Other Substance Use Characteristics of Reproductive Age Women, Ethiopia DHS 2016 (N= 15,683)

Variables	Frequency	Percentage
Age group (in years)
< 25	6401	40.8
25–34	5086	32.4
≥35	4196	26.8
Residence
Urban	5348	34.1
Rural	10,335	65.9
Administrative regions
Tigray	1682	10.7
Afar	1128	7.2
Amhara	1719	11.0
Oromia	1892	12.1
Somali	1391	8.9
Benishangul	1126	7.2
SNNPR	1849	11.8
Gambella	1035	6.6
Harari	906	5.8
Addis Ababa	1824	11.6
Dire Dawa	1131	7.2
Educational status
No education	7033	44.8
Primary	5213	33.2
Secondary	2238	14.3
Above	1199	7.6
Religion
Orthodox	6413	40.9
Protestant	2814	17.9
Muslim	6209	39.6
Others including traditional religion	247	1.6
Wealth index
Poorest	4122	26.3
Poorer	2596	16.6
Middle	2848	18.2
Richer	2811	17.9
Richest	3306	21.1
Current marital status
Never in union	4278	27.3
Married	9824	62.6
Widowed	451	2.9
Divorced	878	5.6
Separated	252	1.6
Occupation within the last 12 months
No occupation (not working)	10,011	63.8
Has occupation (working)	5672	36.2
Ever drunk alcohol
No	10,516	67.1
Yes	5167	32.9
Ever chewed khat
No	14,127	90.1
Yes	1556	9.9

The Prevalence of Current Tobacco Uses Among Reproductive-Age Women in Ethiopia

The overall magnitude of all forms of current tobacco uses among 15,683 reproductive age women was1.4% (95% CI: 1.28, 1.52). The two hundred seventeen respondents reported that they have currently used at least one type of tobacco during the survey year and the left 15,466 participants did not use it. Out of the current tobacco users, the majority (59.91%) smoke cigarettes and followed by smoking Gaya (43.32%) and chewing tobacco (23.5%) (Figure 1).

Figure 1

Percentage distribution of all common forms of tobacco use among reproductive-age women in Ethiopia (N=15,683), Ethiopian Demographic Health Survey 2016.

About 58.46% of the respondents who were smoking cigarettes smoke some days, and the remaining 41.54% smokes every day. Out of the two hundred seventeen (217) current tobacco users, the prevalence was higher among reproductive-age women of the Gambella region with 44.24% and followed by Benishangul (16.59%) and Afar regions (13.36%). However, there were no reproductive-age women who reported current tobacco use in Tigray regional state (Table 2).

Table 2

Percentage of Reproductive-Age Women Who Currently Use Tobacco Products, Across Their Administrative Regions, Ethiopia DHS 2016 (N= 15,683)

Characteristics	Total Number of Women	Number of Women Who Currently Use Tobacco	The Current Prevalence of Tobacco Uses (%)
Administrative regions
Tigray	1682	0	0.00
Afar	1128	29	13.36
Amhara	1719	2	0.92
Oromia	1892	12	5.53
Somali	1391	5	2.30
Benishangul	1126	36	16.59
SNNPR	1849	12	5.53
Gambella	1035	96	44.24
Harari	906	8	3.68
Addis Ababa	1824	5	2.30
Dire Dawa	1131	12	5.53

Factors Associated with Current Tobacco Use Among Reproductive-Age Women in Ethiopia

In bi-variable analyses, at p-value < 0.25, we found that all variables were associated with current tobacco use. However, in the final multivariate logistic regression model, old age group, poorest wealth index, traditional religion followers, never in a union, ever used alcohol, and ever chewed khat, were remained associated factors of current tobacco use at a p-value of < 0.05.

As the age of reproductive age women increased, the odds ratios of current tobacco use also increased. Women of age 25–34 years [AOR = 2.78; 95% CI: 1.69, 4.57)], and of ≥ 35 years old [AOR = 4.24; 95% CI: 2.54, 7.07)] were found to have higher odds ratio of tobacco use as compared to reproductive age women of < 25 years. Regarding their religion, reproductive-age women of protestant religion followers [AOR = 2.36; 95% CI: 4.17, 9.42], Islamic religion followers [AOR = 3.92; 95% CI: 2.16, 7.11], and traditional religion followers [AOR = 16.23; 95% CI: 8.33, 31.61] were found having higher odds ratios of current tobacco use than those Orthodox religion followers.

In this study, the odds of tobacco use increased as the wealth index of reproductive-age women decreased from the richest to the poorest. Those reproductive age women found in the poorest wealth index [AOR = 15.78; 95% CI: 7.38, 33.70], poorer wealth index [AOR = 5.85; 95% CI: 2.64, 12.97], middle wealth index [AOR = 3.61; 95% CI: 1.57, 8.29], and richer wealth index [AOR = 2.48; 95% CI: 1.10, 5.85] were found having higher odds ratios of current tobacco use than those found in the richest wealth index.

Regarding their current marital status, reproductive-age women who were never in union [AOR = 0.31; 95% CI: 0.14, 0.67] were found to have a lower odds ratio of current tobacco use than those married women. Participants who had a history of ever drinking alcohol [AOR = 5.44; 95% CI: 3.71, 7.95] and ever chewing khat [AOR = 7.59; 95% CI: 4.99, 11.55] were also found to have a higher odds ratio of current tobacco use as compared to those who did not ever drink alcohol and who did not ever chew khat respectively (Table 3).

Table 3

Factors Associated with Current Tobacco Use Among the Reproductive Age Women, Ethiopia DHS 2016 (N= 15,683)

Predictor Variables	Current Tobacco Use		COR (95% CI)	AOR (95% CI)
	No	Yes
Age group (in years)
<25	6376	25	1	1
25–34	4999	87	4.44 (2.84, 6.94)*	2.78 (1.69, 4.57)*
≥35	4091	105	6.55 (4.23, 10.14)*	4.24 (2.54, 7.07)*
Residence
Urban	5292	56	1	1
Rural	10,174	161	1.49 (1.10, 2.03)*	1.0 (0.68, 1.47)
Educational status
No education	6906	127	4.39 (1.79, 10.76)*	1.05 (0.38, 2.89)
Primary	5158	55	2.55 (1.02, 6.37)*	1.36 (0.50, 3.67)
Secondary	2208	30	3.25 (1.26, 8.38)*	2.63 (0.96, 7.23)
Above	1194	5	1	1
Religion
Orthodox	6385	28	1	1
Protestant	2714	100	2.56 (1.51, 6.81)*	2.36 (4.17, 9.42)*
Muslim	6138	71	2.64 (1.70, 4.09)*	3.92 (2.16, 7.11)*
Others including traditional religion	229	18	17.92 (9.77, 32.88)*	16.23 (8.33, 31.61)*
Wealth index
Poorest	3779	115	13.32 (6.51, 27.24)*	15.78 (7.38, 33.70)*
Poorer	2015	31	6.29 (2.93, 13.48)*	5.85 (2.64, 12.97)*
Middle	1986	16	3.36 (1.49, 7.52)*	3.61 (1.57, 8.29)*
Richer	2029	13	2.66 (1.15, 6.12)*	2.48 (1.10, 5.85)*
Richest	5657	42	1	1
Current marital status
Never in union	4270	8	0.12 (0.05, 0.22)*	0.31 (0.14, 0.67)*
Married	9656	168	1	1
Widowed	431	20	2.67 (1.66, 4.28)*	1.38 (0.81, 2.37)
Divorced	864	14	0.93 (0.54, 1.61)	1.28 (0.71, 2.29)
Separated	245	7	1.64 (0.76, 3.54)	1.67 (0.73, 3.82)
Occupation within the last 12 months
No occupation	9877	134	0.91 (0.69, 1.20)*	1.06 (0.78, 1.43)
Has occupation	5589	83	1	1
Ever drink alcohol
No	10,382	134	1	1
Yes	5084	83	1.27 (0.96, 1.67)*	5.44 (3.71, 7.95)*
Ever chewed khat
No	13,966	161	1	1
Yes	1500	56	3.24 (2.38, 4.41)*	7.59 (4.99, 11.55)*

Note: *Statistically significant at p< 0.25 in bivariate and at p < 0.05 in multivariate logistic regression analysis.

Abbreviations: AOR, adjusted odds ratio; COR, crudes odds ratio; SNNPR, Southern Nations, Nationalities, and People’s Region.

Discussion

This is the first survey to report the current tobacco use and its determinants among Ethiopian reproductive-age women using a representative national wide EDHS 2016 data. This study will provide input to the governments and policy-makers and will help them to evaluate and improve the existing National Tobacco Control Directive especially with a focus on a special group of populations like reproductive-age women.

In this survey, we realized that the national magnitude of current tobacco uses among the 15,683 reproductive-age women in Ethiopia was1.4%. Tobacco use is still increasing among reproductive-age women as compared with the result of EDHS 2011, which has reported the prevalence of current tobacco use among women age 15–59 years old was 0.8%.8 This could be due to the Ethiopian National Tobacco Control Directive (NTCD) has several weaknesses such as allowing smoking in designated rooms and areas in some workplaces that could be an obstacle to ending tobacco in Ethiopia.29 Again the legislation is not wide-ranging and not successfully applied to warrant its purposes of protecting the community from tobacco threat, and there are no well-defined legal and administrative measures to be taken if the law is not obeyed.30

Another point in this survey was that we had tried to look at the magnitude of different types of tobacco use. As can be seen from Figure 1, out of the two hundred seventeen current tobacco users, 51 (23.5%) of them chew tobacco. Having data on smokeless tobacco use like chewing tobacco is very important and has input in the way of tobacco control. WHO reported smokeless tobacco use like chewing tobacco had a deficiency of statistics and was monitored in fewer countries than smoking tobacco which means that tobacco use reduction efforts have had a much larger effect on smoking prevalence, allowing chewing tobacco prevalence to remain constant over time.1

In this study also, there is variation in the distribution of tobacco use among reproductive-age women across administrative regions of Ethiopia. The uppermost prevalence found in the Gambella region, Benishangul, and Afar regional states respectively, and the possible reason behind this could be the accessibility of illegal import cigarettes.8 The other reason might be due to variations in the study settings, such as access to different substances and the sociocultural nature of the populations. For instance, in the eastern part of Ethiopia including afar and Harar, and other borderline regions of Ethiopia like Gambella and Benishangul region, substances like chewing khat and smoking cigarettes are more common and are socially acceptable as well as a behavior learned from parents, older siblings, and neighbors.31,32 However, in this survey, there was no reported recent tobacco practice by reproductive-age women from Tigray regional state. Knowing such regions with high tobacco use is very important and helps the concerned bodies regarding their efforts to reduce tobacco use in the country.

Our study revealed as the age of reproductive age women increased, the odds ratio of current tobacco uses also increased which means the oldest women have a higher odds ratio of current tobacco use than the youngest women. This result was in line with the previous studies in Ethiopia, Tanzania, Brazil, and Burkina Faso.8,23,33–35 In contrast, a study in Kenya reported that the majority of smokers were in younger age groups.36 The reason for higher tobacco use in older women could be due to older women might have long smoking histories, previous unsuccessful quitting attempts, and doubts about the advantages of leaving tobacco use.37 In this study, regarding the participants’ religion, the odds ratio of current tobacco uses are particularly increased in women from traditional religion. This finding was supported by the prior study.38 The reason behind as indicated in the previous study was, religious involvement is inversely related to tobacco use. Religiously active persons are less likely to smoke cigarettes, and if they do smoke, smoke fewer cigarettes.38,39

The odds ratio of current tobacco use increased as the wealth index of reproductive age women decreased from richest to poorest, and this finding was supported by a previous study finding in India.40 One of the possible reasons behind this could be the bilateral relationship between being poor and tobacco use. This means that being poor can lead to tobacco use, and also, tobacco use can increase poverty. The other probably is that the poorest people might use tobacco for self-medication like to normalize their moods, resistor stress, and deal with the tensions of material deprivation.41,42

Regarding their current marital status, reproductive-age women who were never in a union were found to have low odds ratios of current tobacco use than those married women, and this result was consistent with the study finding from India.40 This finding could be due to marital status, and age is usually closely linked. In our study, we found that older women have higher odds ratios of current tobacco use than the youngest reproductive-age women. Again reproductive-age women who were never in a union could be more likely young age that might decrease their odds ratios of current tobacco use.41

Our study revealed that participants who had a history of ever drinking alcohol were found to have higher odds ratios of current tobacco use than those who did not ever drink alcohol. Similarly, respondents who had a history of ever chewing khat were also found to have higher odds of current tobacco use than those who did not ever chew khat. This finding was consistent with many previous study results.22,33,40 This can be due to poly-substance use behaviors. Khat chewing, alcohol consumption, and tobacco use are closely connected ceremonies, and consuming one of them could lead to the use of another one. For instance, people who drink more amounts of alcohol tend to smoke more cigarettes. Moreover, people who were dependent on nicotine have higher odds of being alcohol dependent than nonsmokers.43 This finding indicates that tobacco control cannot be realized alone, without controlling khat and alcohol use.

Strengths and Limitations

The strength of this study is that we analyzed data from a nationwide survey, which comprises a representative sample. Besides, this study result revealed the magnitude of different forms of tobacco use including non-smokeless tobacco use like chewing tobacco which was usually overlooked worldwide but plays a significant role in tobacco control efforts. In contrast, this study has some limitations. First, EDHS secondary data we used has missed some important variables like the history of mental illness, parental hostility, strictness, and family conflict, level of parental supervision, involvement, or attachment, and partners or other household members’ smoking cigarettes. Second, substance use is usually a sensitive issue in many cultures due to its associated stigma. So, this study could be affected by a social desirability bias, and the reported tobacco use can be below the expected one. Third, this study assessed only the prevalence of current tobacco use at the time of the EDHS and did not have the lifetime prevalence of tobacco use. Fourth, we did not consider the complex sampling of the DHS surveys and we did not use the complex sampling specifications in the estimates of the results. Finally, we used odds ratios instead of prevalence ratios because we did not use advanced analysis models like Cox or Poisson regression with robust variance and log-binomial regression which are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression.

Conclusion

Tobacco is used not only in smoking forms but also in smokeless forms like chewing. Tobacco is highly used, in some specific regional states like Gambella, Benishangul, and Afar. Variables including age, religion, wealth index, current marital status, ever drink alcohol, and ever chewed chat were significantly associated with tobacco use. Regions with higher tobacco use need special attention, and possible related factors like contraband cigarettes in these regions need to be controlled. Tobacco-focused prevention strategies and interventions among reproductive-age women are required. For instance, providing women with information on the risks of tobacco use especially adverse outcomes of tobacco use in pregnancy to both mother and baby, evaluation of tobacco uses and other substance use among antenatal women to identify harmful use and to promote cessation and/or to provide necessary interventions among user to overcome the adverse outcomes is mandatory. Besides, evaluating and restricting the existing National Tobacco Control Directive especially among reproductive-age women is very important.