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Xiao X, Beach J, Senthilselvan A. Prevalence and determinants of multimorbidity in the Canadian population. PLoS One 2024; 19:e0297221. [PMID: 38289936 PMCID: PMC10826951 DOI: 10.1371/journal.pone.0297221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 01/01/2024] [Indexed: 02/01/2024] Open
Abstract
Multimorbidity, which is defined as having at least two or more chronic diseases concurrently, has been a rising public health issue in recent years in Canada and worldwide. The increasing prevalence of multimorbidity has posed a burden on the current health care system and quality of life for the Canadian population. There is a lack of up-to-date research on determinants of multimorbidity in the Canadian population, which is necessary to better understand and prevent multimorbidity. This study aims to determine the prevalence and risk factors of multimorbidity in the middle-aged and older Canadian adult population. Multivariable logistic regression analyses incorporating survey weights and biologically plausible interactions were conducted to examine the determinants of multimorbidity using data from the 2017/2018 Canadian Community Health Survey (CCHS). Of the 113,290 CCHS participants, 82,508 subjects who were aged 35 years and above were included in the study. The prevalence of multimorbidity was 22.20% (95% CI: 21.74%, 22.67%) and was greater for females. Multimorbidity was more likely in subjects who were obese, abstaining from alcohol, inactive, had a lower education level, widowed, divorced, or separated and was less likely among subjects living in Quebec. The protective effect of household income on multimorbidity decreased with age. Current smokers who reported extreme stress were more likely to have multimorbidity. Multimorbidity is associated with various determinants that need to be considered in chronic disease control and prevention. These results suggest that future research should focus not only on these determinants but also on the relationships between them. A future longitudinal study is required to provide causal evidence for the study findings.
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Affiliation(s)
- Xiang Xiao
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Jeremy Beach
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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Nunemo MH, Gidebo KD, Woticha EW, Lemu YK. Integration Challenges and Opportunity of Implementing Non-Communicable Disease Screening Intervention with Tuberculosis Patient Care: A Mixed Implementation Study. Risk Manag Healthc Policy 2023; 16:2609-2633. [PMID: 38045564 PMCID: PMC10693204 DOI: 10.2147/rmhp.s432943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/18/2023] [Indexed: 12/05/2023] Open
Abstract
Background Despite the comorbidity, early detection and treatment of the two diseases are highly recommended; however, a few pilot studies were conducted, which are mainly focused on diabetes mellitus screening and the integration opportunity and challenges were not known. The study aimed to identify integrated implementation challenges and opportunities of non-communicable disease and risk factors screening intervention with tuberculosis patient care. Methods A mixed implementation study design was used. Data were collected from a sample of 443 tuberculosis patients, 21 key informants and facility observations. For quantitative data, descriptive statistics for proportion were summarized in tables and figures. Four distinct implementation frame was adapted for thematic analysis of audio recordings, daily verbatim transcription, and descriptive field notes. Results The prevalence of hypertension and diabetes mellitus among tuberculosis patients were 6.55% and 5.64%, respectively. Totally 9 subthemes and 21 new codes were developed, of which 13 and 8 new codes were developed for integrated implementation challenges and opportunities, respectively. The absence of medical equipment, skill and knowledge training, record and report system, cooperative integration, feedback, referral system, shortage of supporting agencies, and services not free were external challenges, whereas lack of trained health workers, focal persons, and increased workload and absence of awareness creation were internal challenges. Despite the challenges, the presence of health extension programs, non-governmental organizations, community health care insurance and associations for diabetes mellitus were external opportunities. Availability of assigned focal persons, trained stakeholders, guidelines, information systems and compatible tuberculosis program structure were internal opportunities. Conclusion The majority of TB patients were not comorbid with NCDs. We build a favourable system for integrated implementation developing an integration platform and structural authority at a different organization by addressing identified challenges and applying facilitators is crucial.
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Affiliation(s)
| | - Kassa Daka Gidebo
- Department of Public Health, Wolaita Sodo University, Wolaita, South Region, Ethiopia
| | | | - Yohannes Kebede Lemu
- Department of Health, Behaviour and Society, Jimma University, Jimma, Oromia Region, Ethiopia
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Nunemo MH, Gidebo KD, Woticha EW, Lemu YK. Predictors of Tuberculosis and Non-Communicable Disease Comorbidities Among Newly Enrolled Tuberculosis Patients, Southern Ethiopia. Integr Blood Press Control 2023; 16:95-109. [PMID: 38023691 PMCID: PMC10666905 DOI: 10.2147/ibpc.s432251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Non-communicable diseases are comorbid with tuberculosis, however only a few record review based studies have been conducted, which are more concentrated on elevated glucose levels. This study aimed to assess non-communicable disease comorbidity and its predictors among tuberculosis patients. Methods A prospective cross-sectional study design was used and the data were collected by a previously validated tool from a sample of 443 tuberculosis patients using cluster random sampling methods. Multinomial logistic regression was interpreted by relative risk to predict the association of comorbidity status with independent variables. Results The majority (87.81%) of TB patients were not comorbid with NCDs. The prevalence of hypertension and diabetes mellitus among tuberculosis patients were 6.55%, and 5.64%, respectively. The people who had a risk score >8 were 6.47 times more likely to have tuberculosis comorbid with one non-communicable disease compared to those with a risk score ≤8. The relative risk of tuberculosis patients with BMI >25 is 3.33 times compared to those with a BMI <23 of being comorbid with one non-communicable disease vs tuberculosis patients without non-communicable diseases. Those tuberculosis patients with an awareness of non-communicable disease comorbidities are 9.33 times more likely to have tuberculosis with multi-comorbidities compared to those who are unaware. Conclusion The majority of TB patients were not comorbid with NCDs. The person's weight, family size of more than five, monthly income >3000 birr, risk score >8 and BMI >25 significantly predict comorbidity with one non-communicable disease compared to those without a comorbidity. The presence of non-communicable disease comorbidity, treatment awareness, and being aged 50+ years significantly predict the presence of multi-comorbidities compared to those without comorbidity. For early detection and management of both diseases, establishing bidirectional screening platforms in tuberculosis care programs is urgently required.
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Affiliation(s)
| | - Kassa Daka Gidebo
- Department of Public Health, Wolaita Sodo University, Wolaita, South Region, Ethiopia
| | | | - Yohannes Kebede Lemu
- Department of Health, Behaviour and Society, Jimma University, Jimma, Oromia Region, Ethiopia
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Liu Y, Lin Y, Sun Y, Thekkur P, Cheng C, Li Y, Shi Y, Jiang J, Liao J, Nie C, Sun W, Liang C, Zhang X, Liu S, Ma Y, Berger SD, Satyanarayana S, Kumar AMV, Khogali M, Zachariah R, Golub JE, Li L, Harries AD. Managing Comorbidities, Determinants and Disability at Start and End of TB Treatment under Routine Program Conditions in China. Trop Med Infect Dis 2023; 8:341. [PMID: 37505637 PMCID: PMC10383887 DOI: 10.3390/tropicalmed8070341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 07/29/2023] Open
Abstract
Many patients with tuberculosis (TB) have comorbidities, risk determinants and disability that co-exist at diagnosis, during and after TB treatment. We conducted an observational cohort study in 11 health facilities in China to assess under routine program conditions (i) the burden of these problems at the start and end of TB treatment and (ii) whether referral mechanisms for further care were functional. There were 603 patients registered with drug-susceptible TB who started TB treatment: 84% were symptomatic, 14% had diabetes, 14% had high blood pressure, 19% smoked cigarettes, 10% drank excess alcohol and in 45% the 6 min walking test (6MWT) was abnormal. Five patients were identified with mental health disorders. There were 586 (97%) patients who successfully completed TB treatment six months later. Of these, 18% were still symptomatic, 12% had diabetes (the remainder with diabetes failed to complete treatment), 5% had high blood pressure, 5% smoked cigarettes, 1% drank excess alcohol and 25% had an abnormal 6MWT. Referral mechanisms for the care of comorbidities and determinants worked well except for mental health and pulmonary rehabilitation for disability. There is need for more programmatic-related studies in other countries to build the evidence base for care of TB-related conditions and disability.
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Affiliation(s)
- Yuhong Liu
- Beijing Chest Hospital, Capital Medical University, No. 9 Beiguan Ave, Tongzhou, Beijing 101149, China; (Y.L.); (Y.S.); (L.L.)
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Yan Lin
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
| | - Yuxian Sun
- Beijing Chest Hospital, Capital Medical University, No. 9 Beiguan Ave, Tongzhou, Beijing 101149, China; (Y.L.); (Y.S.); (L.L.)
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Pruthu Thekkur
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
- The Union South-East Asia Office, C-6 Qutub Institutional Area, New Delhi 110016, India
| | - Changhao Cheng
- Wuhan Pulmonary Hospital, No. 28 Baofengyilu, Qiaokou, Wuhan 430000, China;
| | - Yuecui Li
- The First People’s Hospital of Yongkang, No. 599 Jinshan West Road, Yongkang 321300, China;
| | - Yunzhen Shi
- Dongyang People’s Hospital, No. 60 Wuning West Road, Dongyang 322100, China;
| | - Jun Jiang
- The Third People’s Hospital of Yichang City, No. 32 Gangyaolu, Yichang 443000, China;
| | - Jiong Liao
- The People’s Hospital of Laiban, No. 159 Pangudadao, Laiban 546100, China;
| | - Chuangui Nie
- Xiangyang Institute of Tuberculosis Control and Prevention, No. 20 Xinhuala, Xiangyang 441000, China;
| | - Wenyan Sun
- Ezhou Third Hospital, No. 16 Minxin West Road, Ezhou 436000, China;
| | - Chengyuan Liang
- Baise City People’s Hospital, No. 8 Chengxianglu, Youjiang, Baise 533000, China;
| | - Xiaojuan Zhang
- Zhongwei People’s Hospital, Gulouxijie, Zhongwei 755000, China;
| | - Sang Liu
- Guangxi Chest Hospital, No. 8 Yangjiaoshanlu, Yufeng, Liuzhou 545000, China;
| | - Yan Ma
- The People’s Hospital of Tongxin, Xueyuanlu, Tongxi, Yuhaizhen 751100, China;
| | - Selma Dar Berger
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
| | - Srinath Satyanarayana
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
- The Union South-East Asia Office, C-6 Qutub Institutional Area, New Delhi 110016, India
| | - Ajay M. V. Kumar
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
- The Union South-East Asia Office, C-6 Qutub Institutional Area, New Delhi 110016, India
- Yenepoya Medical College, Yenepoya (Deemed to be University), Mangalore 575018, India
| | - Mohammed Khogali
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 17666, United Arab Emirates;
| | - Rony Zachariah
- UNICEF, UNDP, World Bank, World Health Organization, Special Programme for Research and Training in Tropical Diseases (TDR), Avenue Appia 20, 1211 Geneva, Switzerland;
| | - Jonathan E. Golub
- Johns Hopkins Center for Tuberculosis, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
| | - Liang Li
- Beijing Chest Hospital, Capital Medical University, No. 9 Beiguan Ave, Tongzhou, Beijing 101149, China; (Y.L.); (Y.S.); (L.L.)
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Anthony D. Harries
- International Union Against Tuberculosis and Lung Disease, 2 Rue Jean Lantier, 75001 Paris, France; (Y.L.); (P.T.); (S.D.B.); (S.S.); (A.M.V.K.)
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
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Basham CA, Karim ME, Johnston JC. Multimorbidity prevalence and chronic disease patterns among tuberculosis survivors in a high-income setting. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2023; 114:264-276. [PMID: 36459364 PMCID: PMC10036698 DOI: 10.17269/s41997-022-00711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 10/07/2022] [Indexed: 12/05/2022]
Abstract
OBJECTIVES Multimorbidity is the presence of two or more chronic health conditions. Tuberculosis (TB) survivors are known to have higher prevalence of multimorbidity, although prevalence estimates from high-income low-TB incidence jurisdictions are not available and potential differences in the patterns of chronic disease among TB survivors with multimorbidity are poorly understood. In this study, we aimed to (1) compare the prevalence of multimorbidity among TB survivors with matched non-TB controls in a high-income setting; (2) assess the robustness of aim 1 analyses to different modelling strategies, unmeasured confounding, and misclassification bias; and (3) among people with multimorbidity, elucidate chronic disease patterns specific to TB survivors. METHODS A population-based cohort study of people immigrating to British Columbia, Canada, 1985-2015, using health administrative data. Participants were divided into two groups: people diagnosed with TB (TB survivors) and people not diagnosed with TB (non-TB controls) in British Columbia. Coarsened exact matching (CEM) balanced demographic, immigration, and socioeconomic covariates between TB survivors and matched non-TB controls. Our primary outcome was multimorbidity, defined as ≥2 chronic diseases from the Elixhauser comorbidity index. RESULTS In the CEM-matched sample (n=1962 TB survivors; n=1962 non-TB controls), we estimated that 21.2% of TB survivors (n=416), compared with 12% of non-TB controls (n=236), had multimorbidity. In our primary analysis, we found a double-adjusted prevalence ratio of 1.74 (95% CI: 1.49-2.05) between TB survivors and matched non-TB controls for multimorbidity. Among people with multimorbidity, differences were observed in chronic disease frequencies between TB survivors and matched controls. CONCLUSION TB survivors had a 74% higher prevalence of multimorbidity compared with CEM-matched non-TB controls. TB-specific multimorbidity patterns were observed through differences in chronic disease frequencies between the matched samples. These findings suggest a need for TB-specific multimorbidity interventions in high-income settings such as Canada. We suggest TB survivorship as a framework for developing person-centred interventions for multimorbidity among TB survivors.
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Affiliation(s)
- C Andrew Basham
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Mohammad Ehsanul Karim
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Health Evaluative and Outcome Sciences, University of British Columbia, Vancouver, BC, Canada
| | - James C Johnston
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
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Yang T, Ma R, Ye L, Mei Q, Wang J, Feng Y, Zhou S, Pan X, Hu D, Zhang D. Risk of peripheral facial palsy following parenteral inactivated influenza vaccination in the elderly Chinese population. Front Public Health 2023; 11:1047391. [PMID: 36761129 PMCID: PMC9902766 DOI: 10.3389/fpubh.2023.1047391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Background Concern about the risk of peripheral facial palsy (PFP) following vaccination is one reason for hesitancy in influenza vaccination. However, the association between the flu vaccine and PFP is still controversial, and further evidence is urgently needed. Methods This self-controlled case series study evaluated PFP risk following inactivated influenza vaccine in the elderly using a large linked database in Ningbo, China. Relative incidence ratios (RIRs) and 95% confidence intervals (CIs) estimated using conditional Poisson regression were utilized to determine whether the risk of PFP was increased after vaccination. Results This study included 467 episodes, which occurred in 244 females and 220 males. One hundred twenty-four episodes happened within 1-91 days after vaccination, accounting for 26.7%. The adjusted RIRs within 1-30 days, 31-60 days, 61-91 days, and 1-91 days after influenza vaccination were 0.95 (95% CI 0.69-1.30), 1.08 (95% CI 0.78-1.49), 1.01 (95% CI 0.70-1.45), and 1.00 (95% CI 0.81-1.24), respectively. Similar results were found in subgroup analyses and sensitivity analyses. Conclusions Influenza vaccination does not increase PFP risk in the elderly population. This finding provides evidence to overcome concerns about facial paralysis after influenza vaccination.
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Affiliation(s)
- Tianchi Yang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Rui Ma
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Lixia Ye
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Qiuhong Mei
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Jianmei Wang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Yueyi Feng
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Shaoying Zhou
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Xingqiang Pan
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Danbiao Hu
- Immunization Center, Ninghai County Center for Disease Control and Prevention, Ningbo, China
| | - Dandan Zhang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China,*Correspondence: Dandan Zhang ✉
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Jarde A, Romano E, Afaq S, Elsony A, Lin Y, Huque R, Elsey H, Siddiqi K, Stubbs B, Siddiqi N. Prevalence and risks of tuberculosis multimorbidity in low-income and middle-income countries: a meta-review. BMJ Open 2022; 12:e060906. [PMID: 36175100 PMCID: PMC9528681 DOI: 10.1136/bmjopen-2022-060906] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES Co-occurrence of tuberculosis (TB) with other chronic conditions (TB multimorbidity) increases complexity of management and adversely affects health outcomes. We aimed to map the prevalence of the co-occurrence of one or more chronic conditions in people with TB and associated health risks by systematically reviewing previously published systematic reviews. DESIGN Systematic review of systematic reviews (meta-review). SETTING Low-income and middle-income countries (LMICs). PAPERS We searched in Medline, Embase, PsycINFO, Social Sciences Citation Index, Science Citation Index, Emerging Sources Citation Index and Conference Proceedings Citation Index, and the WHO Global Index Medicus from inception to 23 October 2020, contacted authors and reviewed reference lists. Pairs of independent reviewers screened titles, abstracts and full texts, extracted data and assessed the included reviews' quality (AMSTAR2). We included systematic reviews reporting data for people in LMICs with TB multimorbidity and synthesised them narratively. We excluded reviews focused on children or specific subgroups (eg, incarcerated people). PRIMARY AND SECONDARY OUTCOME MEASURES Prevalence or risk of TB multimorbidity (primary); any measure of burden of disease (secondary). RESULTS From the 7557 search results, 54 were included, representing >6 296 000 people with TB. We found that the most prevalent conditions in people with TB were depression (45.19%, 95% CI: 38.04% to 52.55%, 25 studies, 4903 participants, I2=96.28%, high quality), HIV (31.81%, 95% CI: 27.83% to 36.07%, 68 studies, 62 696 participants, I2=98%, high quality) and diabetes mellitus (17.7%, 95% CI: 15.1% to 20.0.5%, 48 studies, 48,036 participants, I2=98.3%, critically low quality). CONCLUSIONS We identified several chronic conditions that co-occur in a significant proportion of people with TB. Although limited by varying quality and gaps in the literature, this first meta-review of TB multimorbidity highlights the magnitude of additional ill health burden due to chronic conditions on people with TB. PROSPERO REGISTRATION NUMBER CRD42020209012.
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Affiliation(s)
| | - Eugenia Romano
- Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Saima Afaq
- Institute of Public Health and Social Sciences, Khyber Medical University, Peshawar, Pakistan
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | | | - Yan Lin
- International Union Against Tuberculosis and Lung Disease, Beijing, China
| | - Rumana Huque
- Economics, University of Dhaka, Dhaka, Bangladesh
| | - Helen Elsey
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, Hull, UK
| | - Kamran Siddiqi
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, Hull, UK
| | - B Stubbs
- Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, Hull, UK
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