Abstract
INTRODUCTION
Continued smoking by patients with tuberculosis (TB) and people living with HIV (PLHIV) leads to adverse treatment outcomes. Estimates of tobacco use among the population are scarce in the Eastern Mediterranean region, where the burden of TB and HIV is also low but highly variable. This study determined the prevalence of current smoking and assessed factors associated with current smoking among patients with TB and PLHIV in Jordan.
METHODS
We analyzed data from the Jordan Knowledge, Attitude, and Practices survey in 2021. Information on current tobacco use, including products and frequency of smoking, was collected from 452 patients with TB and 152 PLHIV. We performed multivariable logistic regression to assess the sociodemographic characteristics independently associated with current smoking.
RESULTS
Prevalence of current smoking was 43.8% among TB patients and 67.8 % among PLHIV, and conventional cigarettes were the most used tobacco products. The prevalence of current smoking among patients with TB was higher among males (AOR=8.20; 95% CI: 5.05–13.32), Jordanians (AOR=5.37; 95% CI: 2.66–10.86) and Syrians (AOR=4.13; 95% CI: 1.60–10.67), and those experiencing financial difficulties (AOR=2.83; 95% CI: 1.69–4.74). The prevalence of current smoking among PLHIV was higher in those with financial difficulties (AOR=3.13; 95% CI: 1.19–8.27).
CONCLUSIONS
Nearly half of the patients with TB and PLHIV were current tobacco smokers, higher than the general population. There is an urgent need to investigate the reasons for such a high smoking prevalence and introduce and strengthen smoking cessation services under the TB and HIV control programs.
Keywords: tuberculosis, PLHIV, tobacco use, migration health, socioeconomic status
INTRODUCTION
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.
METHODS
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.
Measures
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.
RESULTS
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.
Variables | Patients with TB (N=452) | Variables | PLHIV (N=152) | ||
---|---|---|---|---|---|
n | % | n | % | ||
Sex | Sex | ||||
Female | 251 | 56 | Female | 29 | 19 |
Male | 201 | 44 | Male | 123 | 81 |
Age (years) | Age (years) | ||||
<18 | 18 | 4 | |||
18–35 | 215 | 48 | 18–35 | 51 | 34 |
36–55 | 171 | 38 | 36–55 | 85 | 56 |
>55 | 48 | 11 | >55 | 16 | 11 |
Migration status | Migration status | ||||
Jordanian | 271 | 60 | Jordanian | 10 | 7 |
Other | 116 | 26 | Non-Jordanian | 142 | 93 |
Syrian | 54 | 12 | |||
Palestinian | 11 | 2 | |||
Education level | Education level | ||||
Low | 173 | 38 | Low | 21 | 14 |
Moderate | 197 | 44 | Moderate | 47 | 31 |
High | 82 | 18 | High | 84 | 55 |
Marital status | Marital status | ||||
Married | 303 | 67 | Married | 68 | 45 |
Single | 149 | 33 | Single | 57 | 38 |
Separated | 27 | 18 | |||
Financial difficulty | Financial difficulty | ||||
No | 244 | 54 | No | 59 | 39 |
Yes | 208 | 46 | Yes | 93 | 61 |
Employment status | Employment status | ||||
Unemployed | 238 | 53 | Unemployed | 63 | 41 |
Employed | 214 | 47 | Employed | 89 | 59 |
TB treatment stage | HIV stage | ||||
First time | 14 | 3 | No symptoms | 119 | 78 |
Currently on treatment | 334 | 74 | Have symptoms | 23 | 15 |
Completed within a year | 45 | 10 | |||
Completed over a year ago | 59 | 13 | |||
TB type | Chronic diseases | ||||
Extrapulmonary TB | 163 | 36 | No | 128 | 84 |
Pulmonary TB | 283 | 63 | Yes | 24 | 16 |
Number of follow-up TB center visits | Family HIV status | ||||
1 | 147 | 33 | No | 132 | 87 |
2–5 | 137 | 30 | Yes | 20 | 13 |
≥5 | 168 | 37 |
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.
Patients with TB (N=452) | PLHIV (N=152) | ||||
---|---|---|---|---|---|
n (%) | 95% CI | n (%) | 95% CI | pa | |
Current tobacco use | |||||
Overall | 198 (43.8) | 39.2–48.5 | 103 (67.8) | 59.6–75.0 | <0.001 |
Current cigarette-only use | |||||
Overall | 164 (36.3) | 31.9–40.9 | 85 (55.9) | 47.7–63.9 | <0.001 |
Daily use | 115 (25.4) | 21.5–29.8 | 64 (42.1) | 34.2–50.4 | <0.001 |
Occasional use | 49 (10.8) | 8.2–14.2 | 21 (13.8) | 8.9–20.6 | 0.398 |
Current waterpipe-only use | |||||
Overall | 71 (15.7) | 12.5–19.5 | 36 (23.7) | 17.3–31.4 | 0.035 |
Daily use | 9 (2.0) | 1.0–3.9 | 8 (5.3) | 2.5–10.5 | 0.068 |
Occasional use | 62 (13.7) | 10.8–17.3 | 28 (18.4) | 12.8–25.7 | 0.201 |
Current dual use | |||||
Overall | 37 (8.2) | 5.9–11.2 | 18 (11.8) | 7.4–18.3 | 0.233 |
Daily use | 4 (0.9) | 0.3–2.4 | 3 (2.0) | 0.5–6.1 | 0.517 |
Occasional use | 33 (7.3) | 5.2–10.2 | 15 (9.9) | 5.8–16.0 | 0.401 |
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).
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.
Variables | All | Current smokers | OR (95%CI) | AOR (95% CI) | p | |
---|---|---|---|---|---|---|
n | n | % | ||||
Total | 452 | 198 | 44 | |||
Sex | ||||||
Female (Ref.) | 251 | 56 | 22 | 1 | 1 | |
Male | 201 | 142 | 71 | 8.38 (5.48–12.82) | 8.20 (5.05–13.32) | 0.000 |
Age (years) | ||||||
<18 (Ref.) | 18 | 4 | 22 | 1 | 1 | |
18–35 | 215 | 89 | 41 | 2.47 (0.79–7.76) | 4.62 (1.21–17.73) | 0.026 |
36–55 | 171 | 84 | 49 | 3.38 (1.07–10.68) | 5.25 (1.31–21.11) | 0.020 |
>55 | 48 | 21 | 44 | 2.72 (0.78–9.49) | 3.31 (0.74–14.72) | 0.116 |
Migration status | ||||||
Other (Ref.) | 116 | 24 | 21 | 1 | 1 | |
Syrian | 54 | 26 | 48 | 3.56 (1.77–7.15) | 4.13 (1.60–10.67) | 0.003 |
Palestinian | 11 | 5 | 45 | 3.19 (0.90–11.36) | 4.31 (0.90–20.67) | 0.068 |
Jordanian | 271 | 143 | 53 | 4.28 (2.58–7.12) | 5.37 (2.66–10.86) | <0.001 |
Education level | ||||||
Low (Ref.) | 173 | 72 | 42 | 1 | 1 | |
Moderate | 197 | 91 | 46 | 1.20 (0.80–1.82) | 1.22 (0.72–2.08) | 0.459 |
High | 82 | 35 | 43 | 1.04 (0.61–1.78) | 0.89 (0.44–1.78) | 0.741 |
Marital status | ||||||
Married (Ref.) | 303 | 131 | 43 | 1 | 1 | |
Single | 149 | 67 | 45 | 1.07 (0.72–1.59) | 1.41 (0.80–2.50) | 0.235 |
Financial difficulty | ||||||
No (Ref.) | 244 | 81 | 33 | 1 | 1 | |
Yes | 208 | 117 | 56 | 2.59 (1.77–3.79) | 2.83 (1.69–4.74) | <0.001 |
Employment status | ||||||
Unemployed (Ref.) | 238 | 98 | 41 | 1 | 1 | |
Employed | 214 | 100 | 47 | 1.25 (0.86–1.82) | 1.74 (1.01–3.00) | 0.045 |
TB treatment stage | ||||||
First time (Ref.) | 14 | 4 | 29 | 1 | 1 | |
Currently on treatment | 334 | 146 | 44 | 0.52 (0.16–1.68) | 0.65 (0.13–3.31) | 0.604 |
Completed within a year | 45 | 20 | 44 | 1.03 (0.55–1.93) | 0.83 (0.36–1.91) | 0.670 |
Completed over a year ago | 59 | 28 | 47 | 1.16 (0.67–2.03) | 1.37 (0.65–2.91) | 0.407 |
TB type | ||||||
Extrapulmonary TB (Ref.) | 163 | 68 | 42 | 1 | 1 | |
Pulmonary TB | 283 | 127 | 45 | 1.14 (0.77–1.68) | 0.84 (0.50–1.39) | 0.494 |
Number of follow-up TB center visits | ||||||
1 (Ref.) | 147 | 56 | 38 | 1 | 1 | |
2–5 | 137 | 65 | 47 | 1.47 (0.91–2.35) | 0.99 (0.54–1.85) | 0.987 |
>5 | 168 | 77 | 46 | 1.37 (0.88–2.16) | 0.86 (0.45–1.66) | 0.661 |
AOR: adjusted odds ratio; mutually adjusted for all covariates included in the table.
Table 4.
Variables | All | Current smokers | OR (95% CI) | AOR (95% CI) | p | |
---|---|---|---|---|---|---|
n | n | % | ||||
Total | 152 | 103 | 68 | |||
Sex | ||||||
Female (Ref.) | 29 | 9 | 31 | 1 | 1 | |
Male | 123 | 94 | 76 | 7.20 (2.96–17.54) | 22.46 (4.36–115.65) | <0.001 |
Age (years) | ||||||
18–35 (Ref.) | 51 | 35 | 69 | 1 | 1 | |
36–55 | 85 | 57 | 67 | 0.93 (0.44–1.96) | 1.09 (0.39–3.07) | 0.869 |
>55 | 16 | 11 | 69 | 1.01 (0.30–3.38) | 0.69 (0.13–3.50) | 0.650 |
Migration status | ||||||
Jordanians (Ref.) | 142 | 95 | 67 | 1 | 1 | |
Non–Jordanians | 10 | 8 | 80 | 1.98 (0.40–9.69) | 6.49 (0.90–46.64) | 0.063 |
Education level | ||||||
Low (Ref.) | 21 | 14 | 67 | 1 | 1 | |
Moderate | 47 | 30 | 64 | 0.88 (0.30–2.61) | 0.93 (0.24–3.60) | 0.919 |
High | 84 | 59 | 70 | 1.18 (0.43–3.27) | 1.64 (0.40–6.75) | 0.495 |
Marital status | ||||||
Married (Ref.) | 68 | 43 | 75 | 1 | 1 | |
Separated | 27 | 17 | 63 | 0.99 (0.39–2.49) | 2.98 (0.74–12.03) | 0.126 |
Single | 57 | 43 | 63 | 1.79 (0.82–3.89) | 1.75 (0.61–4.99) | 0.295 |
Financial difficulty | ||||||
No (Ref.) | 59 | 35 | 59 | 1 | 1 | |
Yes | 93 | 68 | 73 | 1.87 (0.93–3.73) | 3.13 (1.19–8.27) | 0.021 |
Employment status | ||||||
Unemployed (Ref.) | 63 | 37 | 59 | 1 | 1 | |
Employed | 89 | 66 | 74 | 2.02 (1.01–4.02) | 0.55 (0.18–1.69) | 0.300 |
HIV Stage | ||||||
No symptoms (Ref.) | 119 | 81 | 68 | 1 | 1 | |
Have symptoms | 23 | 15 | 65 | 0.88 (0.34–2.25) | 1.43 (0.47–4.41) | 0.531 |
Chronic diseases | ||||||
No (Ref.) | 128 | 86 | 67 | 1 | 1 | |
Yes | 24 | 17 | 71 | 1.19 (0.46–3.08) | 0.83 (0.24–2.81) | 0.759 |
Family HIV status | ||||||
No (Ref.) | 132 | 91 | 69 | 1 | 1 | |
Yes | 20 | 12 | 60 | 0.68 (0.26–1.78) | 1.76 (0.39–7.94) | 0.459 |
AOR: adjusted odds ratio; mutually adjusted for all covariates included in the table.
DISCUSSION
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.
CONCLUSIONS
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.
Supplementary Material
ACKNOWLEDGEMENTS
The authors are grateful to Hiba Abazathe and all researchers from the Eastern Mediterranean Public Health Network (EMPHNET) research team, who helped conduct the questionnaire for the research in this manuscript. This publication resulted from a project supported by the International Organization for Migration. The article has appeared as a preprint in https://www.researchgate.net/publication/365230080_High_prevalence_of_current_tobacco_smoking_among_patients_with_tuberculosis_and_persons_living_with_HIV_in_Jordan_Cross-sectional_Study_Preprint
CONFLICTS OF INTEREST
The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported.
FUNDING
The KAP study was funded by IOM through the Middle East Response grant from the Global Fund. The funders had no role in the design of this study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. AT is partly supported by the Ministry of Universities and Research, Government of Catalonia (grant number: 2021SGR00906).
ETHICAL APPROVAL AND INFORMED CONSENT
Ethical approval was obtained from the Institutional Review Board of the Ministry of Health, Jordan (Approval number: IRB-MOH/289/1492143; Date: 28 March 2021). Participants provided informed consent.
DATA AVAILABILITY
The data supporting this research are available from the authors on reasonable request.
AUTHORS’ CONTRIBUTIONS
NCW, SS and AT: study concept and design. YSK and EMPHNET research team: collection of the data. YSK: responsibility for the integrity of the data. AT and SS: statistical analyses and interpretation of the data. AT: draft of manuscript. All authors: review, revision, and approval of the final manuscript.
PROVENANCE AND PEER REVIEW
Not commissioned; externally peer-reviewed.
REFERENCES
- 1.World Health Organization & International Union against Tuberculosis and Lung Disease . A WHO / the Union monograph on TB and tobacco control: joining efforts to control two related global epidemics. World Health Organization; 2007. Accessed August 24, 2023. https://apps.who.int/iris/handle/10665/43812. [Google Scholar]
- 2.Basu S, Stuckler D, Bitton A, Glantz SA. Projected effects of tobacco smoking on worldwide tuberculosis control: mathematical modelling analysis. BMJ. 2011;343:d5506. doi: 10.1136/bmj.d5506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bissell K, Fraser T, Chiang CY, Enarson DA. Smoking cessation and smokefree environments for tuberculosis patients. International Union Against Tuberculosis and Lung Disease; 2010. Accessed August 24, 2023. https://theunion.org/sites/default/files/2020-08/pub_smokingcessation_eng.pdf. [Google Scholar]
- 4.Burusie A, Enquesilassie F, Addissie A, Dessalegn B, Lamaro T. Effect of smoking on tuberculosis treatment outcomes: a systematic review and meta-analysis. PLoS One. 2020;15(9):e0239333. doi: 10.1371/journal.pone.0239333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gajalakshmi V, Peto R, Kanaka TS, Jha P. Smoking and mortality from tuberculosis and other diseases in India: retrospective study of 43000 adult male deaths and 35000 controls. Lancet. 2003;362(9383):507–515. doi: 10.1016/S0140-6736(03)14109-8. [DOI] [PubMed] [Google Scholar]
- 6.Lin HH, Ezzati M, Murray M. Tobacco smoke, indoor air pollution and tuberculosis: a systematic review and meta-analysis. PLoS Med. 2007;4(1):e20. doi: 10.1371/journal.pmed.0040020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Marshall MM, McCormack MC, Kirk GD. Effect of cigarette smoking on HIV acquisition, progression, and mortality. AIDS Educ Prev. 2009;21(Suppl 3):28–39. doi: 10.1521/aeap.2009.21.3_supp.28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mdege ND, Shah S, Ayo-Yusuf OA, Hakim J, Siddiqi K. Tobacco use among people living with HIV: analysis of data from Demographic and Health Surveys from 28 low-income and middle-income countries. Lancet Glob Health. 2017;5(6):e578–e592. doi: 10.1016/S2214-109X(17)30170-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sibai AM, Iskandarani M, Darzi A, et al. Cigarette smoking in a Middle Eastern country and its association with hospitalisation use: a nationwide cross-sectional study. BMJ Open. 2016;6(4):e009881. doi: 10.1136/bmjopen-2015-009881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Al-Tammemi AB. Tobacco epidemic in Jordan: the time to act is now. Glob Health Promot. 2022;29(2):97–101. doi: 10.1177/17579759211026181. [DOI] [PubMed] [Google Scholar]
- 11.Fouad H, Commar A, Hamadeh RR, El-Awa F, Shen Z, Fraser CP. Smoking prevalence in the Eastern Mediterranean Region. East Mediterr Health J. 2020;26(1):94–101. doi: 10.26719/2020.26.1.94. [DOI] [PubMed] [Google Scholar]
- 12.World Health Organization . Eastern Mediterranean Region. Jordan: Results of Jordan National STEPwise Survey (STEPs) of noncommunicable diseases and their risk factors 2019; Accessed August 18, 2023. https://www.emro.who.int/jor/jordan-news/results-of-jordan-national-stepwise-survey-steps-of-noncommunicable-diseases-and-their-risk-factors-2019.html. [Google Scholar]
- 13.Ng M, Freeman MK, Fleming TD, et al. Smoking prevalence and cigarette consumption in 187 countries, 1980-2012. JAMA. 2014;311(2):183–192. doi: 10.1001/jama.2013.284692. [DOI] [PubMed] [Google Scholar]
- 14.World Development Indicators database . Country Profile. Accessed August 24, 2023. https://databank.worldbank.org/views/reports/reportwidget.aspx?Report_Name=CountryProfile&Id=b450fd57&tbar=y&dd=y&inf=n&zm=n&country=JOR. [Google Scholar]
- 15.Rahhal A. International Organization for Migration . IOM: Evaluation of HIV/AIDS Activities in Jordan, July 2018. UNHCR Operational Data Portal; 2019. Accessed August 18, 2023. https://data2.unhcr.org/en/documents/details/67753. [Google Scholar]
- 16.Obermeyer CM. HIV in the Middle East. BMJ. 2006;333(7573):851–854. doi: 10.1136/bmj.38994.400370.7C. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Barry M. Prevalence of latent tuberculosis infection in the Middle East and North Africa: A Systematic Review. Pulm Med. 2021;2021:6680651. doi: 10.1155/2021/6680651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Khader Y, Abaza H, Satyanarayana S, Abu Rumman AS, Alyousfi MN. Tuberculosis Notification in Jordan, 2016-2020. Epidemiologia (Basel) 2023;4(3):276–285. doi: 10.3390/epidemiologia4030028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Forearms of Change Centre to Enable Community FOCCEC strategic plan 2021 - 2025. 2021. May, Accessed August 24, 2023. http://www.sawaedjo.org/ebv4.0/root_storage/ar/eb_list_page/foccec_strategic_plan_2021-2025.pdf.
- 20.Marshall AM, Barua D, Mitchell A, et al. Smoking prevalence among tuberculosis patients: a crosssectional study in Bangladesh and Pakistan. Tob Induc Dis. 2020;18(August):1–7. doi: 10.18332/tid/125452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wang J, Shen H. Review of cigarette smoking and tuberculosis in China: intervention is needed for smoking cessation among tuberculosis patients. BMC Public Health. 2009;9:292. doi: 10.1186/1471-2458-9-292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Prasad R, Suryakant, Garg R, Singhal S, Dawar R, Agarwal GG. A case-control study of tobacco smoking and tuberculosis in India. Ann Thorac Med. 2009;4(4):208–210. doi: 10.4103/1817-1737.56007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kress AC, Stadnik C, Phiri MM, Goma FM, Twentyman E. Tobacco use among HIV-Positive and HIV-Negative women and men in Zambia-Demographic and Health Survey, 2018. Int J Environ Res Public Health. 2022;19(7):3859. doi: 10.3390/ijerph19073859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hiscock R, Bauld L, Amos A, Fidler JA, Munafò M. Socioeconomic status and smoking: a review. Ann N Y Acad Sci. 2012;1248:107–123. doi: 10.1111/j.1749-6632.2011.06202.x. [DOI] [PubMed] [Google Scholar]
- 25.Harper S, McKinnon B. Global socioeconomic inequalities in tobacco use: internationally comparable estimates from the World Health Surveys. Cancer Causes Control. 2012;23(Suppl 1):11–25. doi: 10.1007/s10552-012-9901-5. [DOI] [PubMed] [Google Scholar]
- 26.Abdulrahim S, Jawad M. Socioeconomic differences in smoking in Jordan, Lebanon, Syria, and Palestine: A cross-sectional analysis of national surveys. PLoS One. 2018;13(1):e0189829. doi: 10.1371/journal.pone.0189829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jawad M, Abdulrahim S, Daouk A. The social patterning of tobacco use among women in Jordan: the protective effect of education on cigarette smoking and the deleterious effect of wealth on cigarette and waterpipe smoking. Nicotine Tob Res. 2016;18(4):379–385. doi: 10.1093/ntr/ntv111. [DOI] [PubMed] [Google Scholar]
- 28.Jawad M, Khader A, Millett C. Differences in tobacco smoking prevalence and frequency between adolescent Palestine refugee and non-refugee populations in Jordan, Lebanon, Syria, and the West Bank: cross-sectional analysis of the Global Youth Tobacco Survey. Confl Health. 2016;10:20. doi: 10.1186/s13031-016-0087-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jiménez-Fuentes MÁ, Rodrigo T, Altet MN, et al. Factors associated with smoking among tuberculosis patients in Spain. BMC Infect Dis. 2016;16:486. doi: 10.1186/s12879-016-1819-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tun KH, Hong SA. Patterns of tobacco and alcohol misuse among presumptive TB Patients in Myanmar: prevalence and sociodemographic associations. Nagoya J Med Sci. 2020;82(4):685–695. doi: 10.18999/nagjms.82.4.685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Pacek LR, Harrell PT, Martins SS. Cigarette smoking and drug use among a nationally representative sample of HIV-positive individuals. Am J Addict. 2014;23(6):582–590. doi: 10.1111/j.1521-0391.2014.12145.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chang SH, Cataldo JK. A systematic review of global cultural variations in knowledge, attitudes and health responses to tuberculosis stigma. Int J Tuberc Lung Dis. 2014;18(2):168–173. doi: 10.5588/ijtld.13.0181. i-iv. [DOI] [PubMed] [Google Scholar]
- 33.Simbayi LC, Kalichman S, Strebel A, Cloete A, Henda N, Mqeketo A. Internalized stigma, discrimination, and depression among men and women living with HIV/AIDS in Cape Town, South Africa. Soc Sci Med. 2007;64(9):1823–1831. doi: 10.1016/j.socscimed.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Shankar A, McMunn A, Banks J, Steptoe A. Loneliness, social isolation, and behavioral and biological health indicators in older adults. Health Psychol. 2011;30(4):377–385. doi: 10.1037/a0022826. [DOI] [PubMed] [Google Scholar]
- 35.Hawari FI, Abu Alhalawa MA, Alshrideh RH, et al. Cessation experiences and quitting perspectives of Jordanian cancer patients who smoke. Cancer Epidemiol. 2022;79:102207. doi: 10.1016/j.canep.2022.102207. [DOI] [PubMed] [Google Scholar]
- 36.US Department of Health and Human Services . Smoking Cessation. A Report of the Surgeon General. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2020. Accessed August 24, 2023. https://www.cdc.gov/tobacco/data_statistics/sgr/2020-smoking-cessation/pdfs/2020-cessation-sgr-front-matter-508c.pdf. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data supporting this research are available from the authors on reasonable request.