Smoking, tuberculosis (TB), and human immunodeficiency virus (HIV) infection persist as three of the most critical public health challenges globally1. World Health Organization (WHO) estimates that more than 20% of global TB incidence in 2020 may be attributable to tobacco smoking, and it is projected to cause an additional 18 million TB cases by 20502,3. Available evidence has shown that smoking aggravates TB symptoms and increases the probability of drug resistance, recurrent TB, and poor TB treatment outcomes, including death4,5. In addition, exposure to secondhand smoke will also significantly increase the risks of TB infection and TB disease in the families and the close contacts of patients with TB1,4,6.

Tobacco smoking is also hazardous for people living with HIV (PLHIV) as smokers are more likely than non-smokers to develop cardiovascular disease (CVD), malignant neoplasms, chronic obstructive pulmonary disease (COPD), and serious HIV-related infections, including bacterial pneumonia7,8. Smokers are also more likely to have a poorer response to HIV treatment, a greater chance of developing a life-threatening illness and a shorter lifespan than people with HIV who do not smoke8. Furthermore, the average years of life lost for smokers with HIV have been estimated as 12 years, which is more than twice the number of years lost by HIV infection alone8.

The countries of the Middle East region are experiencing a smoking epidemic9,10. The Eastern Mediterranean Region (EMR) is one of two WHO regions with the fastest-growing consumption of tobacco products, where the prevalence of tobacco use is expected to increase by 25% by the year 2025, compared with a decrease in Asia, North America, and Europe11. The prevalence of tobacco use in Jordan is 65.3% for men and 16.4% for women, considered one of the world’s most significant tobacco users in 201912. The prevalence of tobacco smoking among women has increased by 4% over a decade, approaching the levels seen in Western countries13.

Jordan has made significant progress in improving TB and HIV treatment services, and is a low TB and HIV burden country, with a TB incidence rate of 4 per 100000 population and an HIV prevalence rate of 0.02% in the general population14,15. However, the burden of TB and HIV is concentrated among certain high-risk vulnerable groups, including economic migrants from high TB burden countries of Asia and Africa, and refugees from neighboring conflict-affected countries16,17. Previous studies have suggested a notable prevalence of tobacco use among populations with TB and HIV in countries with a high burden of these diseases, but current information on tobacco use among TB patients and PLHIV is unknown in Jordan. This study will help TB and HIV programs assess if tobacco smoking affects optimal TB and HIV treatment outcomes and integrate tobacco cessation services as part of treatment services in both programs. In this context, this study was undertaken to determine the prevalence of current tobacco smoking among patients with TB and PLHIV and assess the sociodemographic characteristics associated with current smoking among patients with TB and PLHIV in Jordan.


Study design and data source

We conducted a cross-sectional study using data on tobacco use collected from part of the Knowledge, Attitude, and Practice (KAP) survey. This survey was funded by the International Organization for Migration (IOM) through a grant from the Global Fund and conducted by the Eastern Mediterranean Public Health Network (EMPHNET) research team using a semi-structured questionnaire. Convenience sampling was used to recruit participants, and the response rate was 99%. The number of patients with TB and PLHIV selected during the study period represents the vast majority of patients under treatment in 2021. The English version of the entire questionnaire is available in the Supplementary file. The KAP survey was translated to Arabic from English using the backward–forward translation method by two bilingual experts at the EMPHNET translation department. All interviews were conducted face-to-face or by telephone by researchers in an appropriate language to collect self-reported data.

For enrolling patients with TB into the KAP survey, the sample size was calculated using a single population proportion formula, assuming that the expected proportion of patients with adequate knowledge is 50%. At 95% confidence interval (CI), 5% precision, and 10% non-response rate, the minimum sample size was calculated at 428 patients. The KAP survey for patients with TB enrolled all unique patients with TB (N=452) who attended any of the nine TB health centers (covering all TB treatment facilities) in four governorates, namely Amman, Mafraq, Irbid, and Zarqa during the months of June to September 2021. Although no sample size was estimated for enrolling PLHIV in the KAP survey, the KAP survey enrolled all unique PLHIV (N=152) who visited voluntary counselling and testing (VCT) from all governorates in Jordan for follow-up and anti-retroviral treatment during April and September 2021.

National program for TB and HIV control

The National Tuberculosis Program (NTP) in Jordan adopted the WHO Directly Observed Treatment, Short-course (DOTS) strategy in the mid-nineties. At the central level, the national program unit located in Amman is integrated with the foreign health division. It is responsible for developing TB care policies and their country-wide implementation. The governorate or second level comprises centers in the respective 12 governorates responsible for providing TB prevention, care, and control services as defined in the national policy. A national TB reference laboratory supports testing for drug resistance (first and second line) and coordinates quality control for the network of labs providing TB diagnosis in the country. A third level includes health centers in the periphery where a trained nurse supports treatment monitoring and patient support, as well as referring new cases to the program for an assessment and a diagnosis. While national policy requires non-nationals without a refugee status to be deported on diagnosis of TB, the NTP continues to diagnose and treat a significant number of non-nationals with TB. TB treatment is free of charge18.

The National AIDS Program (NAP) was established under the Ministry of Health after the first case of AIDS was recorded in Jordan in 1986. The National AIDS Committee (NAC) was formed in response and continued working for some period. The NAC was the primary group formulating national HIV/AIDS policy, with broad participation from the public, private, academic, and non-governmental sectors (NGOs). At the sub-national level, there are currently 12 Focal Points for HIV/AIDS in the central governorates of the country (12 governorates). The National AIDS Strategy 2005–2009 was established to focus on the adolescent population to acquire life skills, participate in voluntary counselling and testing, and free antiretroviral medicines. The National Strategic Plan (NSP) on HIV and AIDS (2012–2016) was the second national framework that directed the response. No strategic framework governing the national reaction between 2016 and 2021, when a revised framework was developed and currently guides the national response19. Treatment and care for people living with HIV have been provided free of charge by the government since 2003. Amman’s Care and Treatment Centre is the leading service point for treatment care and support (TCS) through Governorate Health Directorates. Antiretroviral therapy (ART) is covered by public health insurance, including for specific groups of non-Jordanian spouses of Jordanian citizens.


The KAP survey assessed current tobacco smoking status by the following questions: ‘Do you now smoke cigarettes?’ and ‘do you now smoke tobacco in a waterpipe?’. The possible options were: ‘every day’, ‘some days’, and ‘not at all’. Current tobacco smokers were defined as respondents who answered ‘every day’ or ‘some days’ in smoking cigarette tobacco and/or waterpipes. We considered four categories of smokers: current tobacco smokers (cigarettes and/or waterpipes), current cigarette-only smokers, current waterpipe-only smokers, and current dual smokers.

The survey collected self-reported demographic data on age (<18; 18–35; 36–55; >55 years), sex (male, female), Nationality (Jordanian, Syrian, Palestinian, Other), and education level low (no formal education, primary, middle school), moderate (high school and secondary vocational) and high (university and postgraduate), marital status (single, separated, married), and employment status (employed, unemployed). Also, financial difficulty was assessed based on whether or not they had to borrow money to pay bills on time in the last month (yes, no) as a proxy for socioeconomic status.

The TB treatment-related information collected included a number of follow-up TB center visits in the past (1, 2–5, >5 times) and TB type (pulmonary TB, drug-resistant TB, extrapulmonary TB). Participants were asked about the TB treatment stage. Respondents could select up to four options: ‘Never had TB treatment’, ‘Currently on TB treatment’, ‘Completed TB treatment within the last year’, and ‘Completed TB treatment over one year ago’. The HIV information collected included data on the HIV stage and whether the participants have experienced HIV-related symptoms (no symptoms, have symptoms). Family HIV status was assessed by the following question: ‘Do any of your family members have HIV/AIDS?’ (yes, no). Participants were also asked whether they have any chronic diseases other than HIV (yes, no).

Statistical analysis

We first calculated the prevalence of current smoking (%) with 95% Confidence Interval (95% CI) and disaggregated by cigarette-only, waterpipe-only, and dual use. We calculated the relative prevalence of current smoking (%) in various sociodemographic sub-groups. A bivariate and multivariable logistic regression model was performed to determine factors associated with current tobacco smokers (conventional cigarettes and/or waterpipe) and presented as odds ratio (OR) and adjusted OR (AOR), with 95% CI, respectively. The covariates in the multivariable logistic regression included those statistically associated at the bivariate level and those that we presumed theoretically were likely associated with tobacco smoking in the country. Accordingly, the variables in the multivariable logistic regression model for patients with TB included sex, age, education level, marital status, occupation, financial difficulties, number of follow-up TB center visits, type of TB, and stage of TB treatment. The variables in the multivariable logistic regression model for HIV patients included sex, age, education level, marital status, employment status, financial difficulties, chronic disease status, family’s HIV status, and HIV symptoms. We also used a Bayesian information criterion and an Akaike information criterion to decide the most appropriate model. We confirmed no multicollinearity in the regression analyses by checking all covariates’ variance inflationary factor (VIF). There were no missing data because of the rigorous procedures by researchers from the EMPHNET team. In the analysis, all tests of statistical significance were two-sided, and p<0.05 was considered statistically significant. All statistical analyses were conducted in R version 4.1.3.


Study population

The sociodemographic and clinical characteristics of 452 patients with TB and 152 PLHIV enrolled in the KAP study are presented in Table 1. The mean age of patients with TB was 37 (SD=13.2) years, and that of PLHIV was 41.4 (SD=11.2) years. About 44% of the patients with TB and 81% of PLHIV were males. Regarding nationality, 60% of patients with TB and 93% of PLHIV were Jordanians, and 44% of the patients with TB and 55% of the HIV patients had a high education level. A large proportion of TB and HIV patients had financial difficulties, 46% and 61%, respectively. The main type of TB was pulmonary TB (63%). Almost 70% of patients with TB were currently on treatment. Nearly 78% did not have any HIV-related symptoms (78%), chronic disease (84%), or family with HIV (87%). To confirm differences, Supplementary file Table 1 and Supplementary file Table 2 illustrate the demographic characteristics of patients with TB before and during the COVID-19 pandemic by comparing the Middle East Response (MER) data which covered all patients with TB by IOM and the KAP survey. Although age distribution and the total number of individuals were almost the same during the duration of the pandemic, the proportion of migration significantly decreased from 61 % in 2019 to 28% in 2021.

Table 1

Sample characteristics of patients with TB and people living with HIV (PLHIV) enrolled in the KAP survey, Jordan, 2021

VariablesPatients with TB (N=452)VariablesPLHIV (N=152)
Age (years)Age (years)
Migration statusMigration status
Education levelEducation level
Marital statusMarital status
Financial difficultyFinancial difficulty
Employment statusEmployment status
TB treatment stageHIV stage
First time143No symptoms11978
Currently on treatment33474Have symptoms2315
Completed within a year4510
Completed over a year ago5913
TB typeChronic diseases
Extrapulmonary TB16336No12884
Pulmonary TB28363Yes2416
Number of follow-up TB center visitsFamily HIV status

Prevalence and frequency of current tobacco use

Table 2 shows the prevalence and frequency of current tobacco smoking according to tobacco products among patients with TB and PLHIV. The overall prevalence of current smoking was 43.8% (95% CI: 39.2–48.5) in patients with TB and 67.8% (95% CI: 59.6–75.0) among PLHIV. Men (31.4%; 95% CI: 27.2–35.9) were more likely to be current smokers than women (12.3%; 95% CI: 9.6–15.9) among patients with TB. Similarly, among PLHIV, 61.8% (95% CI: 53.6–69.5) were male smokers and 5.9% (95% CI: 2.9–11.3) were female smokers. The most common tobacco product smoked was cigarette-only at 36.3% (95% CI: 31.9–40.9) for patients with TB and 55.9 % (95% CI: 47.7–63.9) for PLHIV. Most cigarette smokers used these products daily, in patients with TB and PLHIV. However, among current waterpipe-smokers they were used occasionally. Differences in tobacco smoking prevalence and frequency according to nationalities among patients with TB are given in Supplementary file Table 3.

Table 2

Tobacco smoking prevalence and frequency among patients with TB and PLHIV in Jordan, 2021

Patients with TB (N=452)PLHIV (N=152)
n (%)95% CIn (%)95% CIpa
Current tobacco use
Overall198 (43.8)39.2–48.5103 (67.8)59.6–75.0<0.001
Current cigarette-only use
Overall164 (36.3)31.9–40.985 (55.9)47.7–63.9<0.001
Daily use115 (25.4)21.5–29.864 (42.1)34.2–50.4<0.001
Occasional use49 (10.8)8.2–14.221 (13.8)8.9–20.60.398
Current waterpipe-only use
Overall71 (15.7)12.5–19.536 (23.7)17.3–31.40.035
Daily use9 (2.0)1.0–3.98 (5.3)2.5–10.50.068
Occasional use62 (13.7)10.8–17.328 (18.4)12.8–25.70.201
Current dual use
Overall37 (8.2)5.9–11.218 (11.8)7.4–18.30.233
Daily use4 (0.9)0.3–2.43 (2.0)0.5–6.10.517
Occasional use33 (7.3)5.2–10.215 (9.9)5.8–16.00.401

a Chi-squared test.

The relative prevalence of current tobacco use among patients with TB and PLHIV, disaggregated by nationality, is given in Figure 1. Among patients with TB, prevalence of current tobacco was highest in Jordanians (53%, 143/271), followed by Syrians (48%, 26/54) and Palestinians (45%, 5/11). Among PLHIV, Palestinians (83%, 5/6) had the highest proportion of current smokers, followed by Syrians (75%, 3/4) and Jordanians (67%, 95/142).

Figure 1

The relative prevalence of current tobacco use by migration status among patients with TB (N=452) and PLHIV (N=152) in Jordan, 2021

Factors associated with the current tobacco use

The sociodemographic characteristics associated with current tobacco smoking among patients with TB and PLHIV are given in Tables 3 and 4. Among patients with TB, men were more likely than women to be current smokers (AOR=8.20; 95% CI: 5.05–13.32). Similarly, Jordanians (AOR=5.37; 95% CI: 2.66–10.86) and Syrians (AOR=4.13; 95% CI: 1.60–10.67) were more likely to smoke than migrants from other countries. Patients with TB with financial difficulties had 2.83 times greater odds of current tobacco use than those who reported having no difficulty paying bills (AOR=2.83; 95% CI: 1.69–4.74). Apart from these, there was no clear association between current smoking prevalence and TB-related variables such as TB treatment stage, TB type, and number of follow-up visits to TB centers. Among PLHIV, the characteristics associated with higher odds of current tobacco smoking include male gender (AOR=22.46; 95% CI: 4.36–115.65) and those having financial difficulties (AOR=3.13; 95% CI: 1.19–8.27) (Figure 2).

Table 3

Characteristics of registered patients with TB and factors associated with current smoking in Jordan, 2021

VariablesAllCurrent smokersOR (95%CI)AOR (95% CI)p
Female (Ref.)251562211
Male201142718.38 (5.48–12.82)8.20 (5.05–13.32)0.000
Age (years)
<18 (Ref.)1842211
18–3521589412.47 (0.79–7.76)4.62 (1.21–17.73)0.026
36–5517184493.38 (1.07–10.68)5.25 (1.31–21.11)0.020
>554821442.72 (0.78–9.49)3.31 (0.74–14.72)0.116
Migration status
Other (Ref.)116242111
Syrian5426483.56 (1.77–7.15)4.13 (1.60–10.67)0.003
Palestinian115453.19 (0.90–11.36)4.31 (0.90–20.67)0.068
Jordanian271143534.28 (2.58–7.12)5.37 (2.66–10.86)<0.001
Education level
Low (Ref.)173724211
Moderate19791461.20 (0.80–1.82)1.22 (0.72–2.08)0.459
High8235431.04 (0.61–1.78)0.89 (0.44–1.78)0.741
Marital status
Married (Ref.)3031314311
Single14967451.07 (0.72–1.59)1.41 (0.80–2.50)0.235
Financial difficulty
No (Ref.)244813311
Yes208117562.59 (1.77–3.79)2.83 (1.69–4.74)<0.001
Employment status
Unemployed (Ref.)238984111
Employed214100471.25 (0.86–1.82)1.74 (1.01–3.00)0.045
TB treatment stage
First time (Ref.)1442911
Currently on treatment334146440.52 (0.16–1.68)0.65 (0.13–3.31)0.604
Completed within a year4520441.03 (0.55–1.93)0.83 (0.36–1.91)0.670
Completed over a year ago5928471.16 (0.67–2.03)1.37 (0.65–2.91)0.407
TB type
Extrapulmonary TB (Ref.)163684211
Pulmonary TB283127451.14 (0.77–1.68)0.84 (0.50–1.39)0.494
Number of follow-up TB center visits
1 (Ref.)147563811
2–513765471.47 (0.91–2.35)0.99 (0.54–1.85)0.987
>516877461.37 (0.88–2.16)0.86 (0.45–1.66)0.661

[i] AOR: adjusted odds ratio; mutually adjusted for all covariates included in the table.

Table 4

Characteristics of registered PLHIV and factors associated with current smoking in Jordan, 2021

VariablesAllCurrent smokersOR (95% CI)AOR (95% CI)p
Female (Ref.)2993111
Male12394767.20 (2.96–17.54)22.46 (4.36–115.65)<0.001
Age (years)
18–35 (Ref.)51356911
36–558557670.93 (0.44–1.96)1.09 (0.39–3.07)0.869
>551611691.01 (0.30–3.38)0.69 (0.13–3.50)0.650
Migration status
Jordanians (Ref.)142956711
Non–Jordanians108801.98 (0.40–9.69)6.49 (0.90–46.64)0.063
Education level
Low (Ref.)21146711
Moderate4730640.88 (0.30–2.61)0.93 (0.24–3.60)0.919
High8459701.18 (0.43–3.27)1.64 (0.40–6.75)0.495
Marital status
Married (Ref.)68437511
Separated2717630.99 (0.39–2.49)2.98 (0.74–12.03)0.126
Single5743631.79 (0.82–3.89)1.75 (0.61–4.99)0.295
Financial difficulty
No (Ref.)59355911
Yes9368731.87 (0.93–3.73)3.13 (1.19–8.27)0.021
Employment status
Unemployed (Ref.)63375911
Employed8966742.02 (1.01–4.02)0.55 (0.18–1.69)0.300
HIV Stage
No symptoms (Ref.)119816811
Have symptoms2315650.88 (0.34–2.25)1.43 (0.47–4.41)0.531
Chronic diseases
No (Ref.)128866711
Yes2417711.19 (0.46–3.08)0.83 (0.24–2.81)0.759
Family HIV status
No (Ref.)132916911
Yes2012600.68 (0.26–1.78)1.76 (0.39–7.94)0.459

[i] AOR: adjusted odds ratio; mutually adjusted for all covariates included in the table.

Figure 2

Forest chart showing the association of factors with current tobacco use among TB patients (N=452) and PLHIV (N=152) in Jordan, 2021


This is the first study to determine the prevalence of current smoking and factors associated with it among patients with TB and PLHIV, in Jordan. Our analysis found that 43.8% of patients with TB and 67.8% of PLHIV were current smokers, higher than the general population (41.0%) according to the nationally representative Jordan National Stepwise Survey (STEPs) conducted in 201912. The likelihood of current tobacco smoking among patients with TB was higher among males, and those aged ≥18 years compared with those <18 years, Jordanians and Syrians compared to people from other nationalities, those experiencing financial difficulties, and those who were employed than unemployed. Males and those with financial difficulties among PLHIV were more likely to smoke.

High smoking prevalence from our results is consistent with previous studies conducted in other high TB and HIV burden countries, such as India, China, Bangladesh, Pakistan, and Sub-Saharan Africa8,20-23, which have found higher smoking prevalence among patients with TB and PLHIV.

The study has the following implications for policy and practice in the Jordanian context.

First, the reasons for high levels of smoking prevalence are unknown and need to be investigated to ascertain whether high levels of smoking are a cause of TB disease or a consequence of TB and HIV diagnosis7,24. Evidence from high-income countries (HICs) has consistently shown that individuals with low socio-economic status (SES) have higher rates of smoking and lower rates of quitting compared to those with high SES25. In contrast, among general populations in the Eastern Mediterranean region, a gradient in smoking rates by education has been observed, but there is an absent association with wealth, and in some cases, the wealthiest individuals exhibit higher behavioral risk26,27. Our findings indicate a positive association between financial difficulties and tobacco use among both TB patients and PLHIV, which is consistent with the evidence observed in HICs25; however, no clear association with education level in our results is in contrast to previous surveys in the Eastern Mediterranean region26-28. Additionally, our results are incompatible with current literature on TB patients and PLHIV29-31, which have suggested that lower education, detrimental alcohol, and drug use are predictors of tobacco use, but findings on wealth are inconclusive. Alcohol and drug use behavior is also relatively rare in the region for religious reasons; therefore, TB patients and PLHIV who smoke in the region may have a distinct sociodemographic profile to cohorts in other areas and general populations.

While it is well known that smokers have higher chances of developing TB disease4,6, information gathered during the KAP survey indicated that patients with TB and PLHIV face high levels of stigma and discrimination after the diagnosis of these diseases. Direct associations between stigma and smoking behavior have not been extensively studied. However, existing studies have indicated that stigma is associated with substance use, social isolation, and anxiety32,33. These predictors have demonstrated a strong association with smoking behaviour34 and may partially explain one possible reason for the elevated prevalence of smoking. Patients with TB and PLHIV might be compelled to smoke excessively or take up smoking to overcome the social, economic, and mental stress induced by the diagnosis of these diseases. Further investigation will help in understanding the causes of high levels of current tobacco use and support the design of context-specific interventions to address current tobacco smoking.

Second, irrespective of the causes of high levels of current tobacco smoking, there is a need for the introduction or integration of tobacco cessation services into the TB and HIV treatment services. Tobacco cessation not only benefits patients with TB and PLHIV but also benefits the family and other close contacts by reducing exposure to secondhand smoke. In Jordan, currently, tobacco cessation services that include provision of nicotine replacement therapy (NRT) are implemented as a part of the cancer care35, and a similar approach needs to be adopted while introducing it as part of TB and HIV treatment services35,36.

Third, while including the tobacco cessation services as a part of the TB and HIV treatment services, care must be taken to ensure that the services are tailored to the sociodemographic characteristics of the patients with TB and PLHIV. Though males were more likely than females to be current tobacco smokers, about 21% of the female patients with TB and 33% of the female PLHIV were current smokers. Therefore, the cessation services need to be sensitive to the needs of not only male patients with TB and PLHIV, but also female patients with TB and PLHIV. Similarly, a significant proportion of the patients with TB an PLHIV who belong to a nationality other than Jordanian are also current tobacco smokers and therefore, care must be taken to customize the cessation services to suit persons of other nationalities. The study results also show that a significant proportion of patients with TB and PLHIV are experiencing financial difficulties in paying off their daily bills, and current tobacco use was higher among such individuals. Whether it is essential to link patients with TB to any other existing social protection schemes to reduce the tobacco smoking behavior needs further exploration.

Fourth, tobacco smoking in the general population of Jordan and other neighboring countries is increasing10,11,28. Tobacco smoking is one of the risk factors for TB disease, and therefore growing tobacco prevalence can negatively affect the TB burden in these countries2. This can hamper the achievement of the TB elimination efforts in the country and region. Therefore, the TB control program has a role in advocating with the policymakers on the need for large-scale interventions for tobacco control, which, if not done, may increase the demand for resources to provide TB services.

Finally, there is a need for establishing mechanisms for tracking the trends in tobacco cessation among patients with TB and PLHIV and to assess the effectiveness of the measures being undertaken to reduce the tobacco smoking burden in these persons. This can be done by revising the recording and reporting formats to document the tobacco consumption status during TB and HIV treatment.

Strengths and limitations

The major strength of this study is that all TB and HIV patients attending the health facilities during the study period were enrolled with 100% participation, thereby minimizing the chances of selection bias and enhancing the reliability and generalizability of the study findings to all patients with TB and PLHIV. The study has some limitations. First, it is a cross-sectional study, and any causal relationship between predictors and smoking prevalence is difficult to establish. Second, there could be under-reporting of tobacco use, especially among women and younger persons, due to smoking measures based on self-report. However, no under-reporting trends were observed in our findings from previous studies, with estimated tobacco use ranging from 15% to 30% in adolescents and 16.4% in women. Third, the present study is based on convenience sampling, but the study is the only study that has assessed smoking among patients with TB and PLHIV and provided comprehensive information on several relevant factors in the region. Fourth, we only assessed current tobacco use regarding conventional cigarettes and waterpipes since they are the most common tobacco products used in middle-eastern countries. However, other tobacco use types might also be present due to the widespread use of e-cigarettes and heated tobacco products in recent years. Fifth, we have done this study in a setting where the prevalence of TB among HIV patients is very low and vice versa. Hence studying an association between smoking and TB/HIV co-infection in this setting with this population was not possible. Lastly, we did not quantify the length and intensity of smoking, which prevents us from assessing a dose–response relationship or the intensity of the services needed to ensure tobacco cessation.


Our study highlights a substantial proportion of tobacco use among patients with TB and PLHIV with a high burden of disease from smoking. We call upon the National TB and HIV programs in Jordan to investigate the reasons for high consumption and integrate smoking cessation interventions into TB and HIV treatment services.