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Background: Alcohol use disorders (AUD) in tuberculosis patients are complicated with the poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this study aimed at its inception to fill the above gap by generating an average prevalence of AUD and associated factors in tuberculosis patients.
Method: Our electronic search was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked manually to have further eligible articles. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias.
Result: A search of the electronic and manual system resulted in 1965 articles. However, after the massive screening, only 27 articles that studied 30654 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value = 0.000). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39%, 30%, 30%, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥ 40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%).
Conclusion: There existed a high prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This will be of paramount importance for public health intervention in the area.
Keywords
Alcohol use disorder, tuberculosis, Africa
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View the published article at Substance Abuse Treatment, Prevention, and Policy.
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On 05 Dec, 2020
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On 05 Dec, 2020
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On 05 Dec, 2020
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Editor assigned
On 09 Nov, 2020
Reviewers invited
Invitations sent on 09 Nov, 2020
Reviewer #1 agreed
On 09 Nov, 2020
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Received 09 Nov, 2020
Editorial decision: Minor Revision
On 09 Nov, 2020
Submission checks complete
On 09 Nov, 2020
Editor invited
On 09 Nov, 2020
No comments provided
Review #2 received
Received 29 Oct, 2020
Editorial decision: Minor Revision
On 29 Oct, 2020
Reviewers invited
Invitations sent on 26 Oct, 2020
Reviewer #1 agreed
On 26 Oct, 2020
Reviewer #2 agreed
On 26 Oct, 2020
Review #1 received
Received 26 Oct, 2020
Editor assigned
On 25 Oct, 2020
Submission checks complete
On 24 Oct, 2020
Editor invited
On 24 Oct, 2020
Version 1
Posted 02 Sep, 2020
No comments provided
Reviewer #2 agreed
On 21 Oct, 2020
Review #2 received
Received 21 Oct, 2020
Editorial decision: Major Revision
On 21 Oct, 2020
Review #1 received
Received 20 Oct, 2020
Reviewer #1 agreed
On 12 Oct, 2020
Reviewers invited
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On 31 Aug, 2020
Editor assigned
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Editor invited
On 30 Aug, 2020
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See the published version of this preprint at Substance Abuse Treatment, Prevention, and Policy.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
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Complete author information
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at Substance Abuse Treatment, Prevention, and Policy.
No community comments so far
Editor assigned
On 05 Dec, 2020
Editorial decision: Accept
On 05 Dec, 2020
Submission checks complete
On 05 Dec, 2020
Editor invited
On 05 Dec, 2020
No comments provided
Editor assigned
On 09 Nov, 2020
Reviewers invited
Invitations sent on 09 Nov, 2020
Reviewer #1 agreed
On 09 Nov, 2020
Review #1 received
Received 09 Nov, 2020
Editorial decision: Minor Revision
On 09 Nov, 2020
Submission checks complete
On 09 Nov, 2020
Editor invited
On 09 Nov, 2020
No comments provided
Review #2 received
Received 29 Oct, 2020
Editorial decision: Minor Revision
On 29 Oct, 2020
Reviewers invited
Invitations sent on 26 Oct, 2020
Reviewer #1 agreed
On 26 Oct, 2020
Reviewer #2 agreed
On 26 Oct, 2020
Review #1 received
Received 26 Oct, 2020
Editor assigned
On 25 Oct, 2020
Submission checks complete
On 24 Oct, 2020
Editor invited
On 24 Oct, 2020
Version 1
Posted 02 Sep, 2020
No comments provided
Reviewer #2 agreed
On 21 Oct, 2020
Review #2 received
Received 21 Oct, 2020
Editorial decision: Major Revision
On 21 Oct, 2020
Review #1 received
Received 20 Oct, 2020
Reviewer #1 agreed
On 12 Oct, 2020
Reviewers invited
Invitations sent on 31 Aug, 2020
First submitted
On 31 Aug, 2020
Editor assigned
On 31 Aug, 2020
Submission checks complete
On 30 Aug, 2020
Editor invited
On 30 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Substance Abuse Treatment, Prevention, and Policy.
Background: Alcohol use disorders (AUD) in tuberculosis patients are complicated with the poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this study aimed at its inception to fill the above gap by generating an average prevalence of AUD and associated factors in tuberculosis patients.
Method: Our electronic search was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked manually to have further eligible articles. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias.
Result: A search of the electronic and manual system resulted in 1965 articles. However, after the massive screening, only 27 articles that studied 30654 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value = 0.000). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39%, 30%, 30%, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥ 40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%).
Conclusion: There existed a high prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This will be of paramount importance for public health intervention in the area.
Figure 1
Figure 2
Figure 3
Figure 4
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