1
|
Koye DN, Melaku YA, Gelaw YA, Zeleke BM, Adane AA, Tegegn HG, Gebreyohannes EA, Erku DA, Tesfay FH, Gesesew HA, Mekonnen A, Dadi AF, Alene KA. Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis. BMJ Open 2022; 12:e065318. [PMID: 36600383 PMCID: PMC9743363 DOI: 10.1136/bmjopen-2022-065318] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia. DESIGN AND SETTING Nationwide cross-sectional survey in Ethiopia combined with georeferenced ecological level data from publicly available sources. PARTICIPANTS 9801 participants aged between 15 and 69 years. PRIMARY OUTCOME MEASURES Prevalence of hypertension and diabetes were collected using the WHO's STEPS survey approach. Bayesian model-based geostatistical techniques were used to estimate hypertension and diabetes prevalence at national, regional and pixel levels (1×1 km2) with corresponding 95% credible intervals (95% CrIs). RESULTS The national prevalence was 19.2% (95% CI: 18.4 to 20.0) for hypertension and 2.8% (95% CI: 2.4 to 3.1) for diabetes. Substantial variation was observed in the prevalence of these diseases at subnational levels, with the highest prevalence of hypertension observed in Addis Ababa (30.6%) and diabetes in Somali region (8.7%). Spatial overlap of high hypertension and diabetes prevalence was observed in some regions such as the Southern Nations, Nationalities and People's region and Addis Ababa. Population density (number of people/km2) was positively associated with the prevalence of hypertension (β: 0.015; 95% CrI: 0.003-0.027) and diabetes (β: 0.046; 95% CrI: 0.020-0.069); whereas altitude in kilometres was negatively associated with the prevalence of diabetes (β: -0.374; 95% CrI: -0.711 to -0.044). CONCLUSIONS Spatial clustering of hypertension and diabetes was observed at subnational and local levels in Ethiopia, which was significantly associated with population density and altitude. The variation at the subnational level illustrates the need to include environmental drivers in future NCDs burden estimation. Thus, targeted and integrated interventions in high-risk areas might reduce the burden of hypertension and diabetes in Ethiopia.
Collapse
Affiliation(s)
- Digsu Negese Koye
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Methods and Implementation Support for Clinical and Health research Hub (MISCH), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Yohannes Adama Melaku
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Yalemzewod Assefa Gelaw
- Telethon Kids Institute, Nedlands, Western Australia, Australia
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Berihun Megabiaw Zeleke
- Planetary Health Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Akilew Awoke Adane
- Telethon Kids Institute, Nedlands, Western Australia, Australia
- Ngangk Yira Institute for Change, Murdoch University, Murdoch, Western Australia, Australia
| | - Henok Getachew Tegegn
- School of Rural Medicine, University of New England, Armidale, New South Wales, Australia
| | - Eyob Alemayehu Gebreyohannes
- Telethon Kids Institute, Nedlands, Western Australia, Australia
- Division of Pharmacy, School of Allied Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Daniel Asfaw Erku
- Centre for Applied Health Economics, Griffith University, Nathan, Queensland, Australia
| | - Fisaha Haile Tesfay
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- Institute of Health Transformation, Deakin University, Melbourne, Victoria, Australia
| | - Hailay Abrha Gesesew
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, South Australia, Australia
| | - Alemayehu Mekonnen
- Centre for Quality and Patient Safety Research, School of Nursing and Midwifery, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
| | - Abel Fekadu Dadi
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Menzies Health Research Institute, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Kefyalew Addis Alene
- Telethon Kids Institute, Nedlands, Western Australia, Australia
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| |
Collapse
|
2
|
Alene KA, Jegnie A, Adane AA. Authors' reply re: Multidrug-resistant tuberculosis during pregnancy and adverse birth outcomes: a systematic review and meta-analysis: Practice-embedded research to address knowledge gaps in multidrug-resistant tuberculosis in pregnancy. BJOG 2021; 128:2210-2211. [PMID: 34524715 DOI: 10.1111/1471-0528.16872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Kefyalew Addis Alene
- Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia.,Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Alemken Jegnie
- School of Agriculture and Environment, The University of Western Australia, Crawley, Western Australia, Australia
| | - Akilew Awoke Adane
- Telethon Kids Institute, Nedlands, Western Australia, Australia.,Ngangk Yira Research Centre for Aboriginal Health and Social Equity, Murdoch University, Murdoch, Western Australia, Australia
| |
Collapse
|
3
|
Gesesew HA, Koye DN, Fetene DM, Woldegiorgis M, Kinfu Y, Geleto AB, Melaku YA, Mohammed H, Alene KA, Awoke MA, Birhanu MM, Gebremedhin AT, Gelaw YA, Shifti DM, Muluneh MD, Tegegne TK, Abrha S, Aregay AF, Ayalew MB, Gebre AK, Gebremariam KT, Gebremedhin T, Gebremichael L, Leshargie CT, Kibret GD, Meazaw MW, Mekonnen AB, Tekle DY, Tesema AG, Tesfay FH, Tesfaye W, Wubishet BL, Dachew BA, Adane AA. Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review. BMJ Open 2021; 11:e044618. [PMID: 33602714 PMCID: PMC7896374 DOI: 10.1136/bmjopen-2020-044618] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.
Collapse
Affiliation(s)
- Hailay Abrha Gesesew
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Scool of Public Health, Mekelle University, Mekelle, Ethiopia
| | - Digsu Negese Koye
- Department of Medicine at Royal Melbourne Hospital and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | | | | | - Yohannes Kinfu
- Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia
- College of Medicine, Doha, Qatar
| | - Ayele Bali Geleto
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, New South Wales, Australia
- School of Public Health, Haramaya University, College of Health and Medical Sciences, Harar, Ethiopia
| | - Yohannes Adama Melaku
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Hassen Mohammed
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Hospital, Adelaide, South Australia, Australia
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Kefyalew Addis Alene
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
- Institute of Public Health, University of Gondar, Gondar, Ethiopia
| | - Mamaru Ayenew Awoke
- School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Mulugeta Molla Birhanu
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
- Saint Paul's Hospital, Millennium Medical College, Addis Ababa, Ethiopia
| | - Amanuel Tesfay Gebremedhin
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Yalemzewod Assefa Gelaw
- Institute of Public Health, University of Gondar, Gondar, Ethiopia
- Population Child Health Research Group, School of Women's & Children's Health, UNSW, Sydney, New South Wales, Australia
| | - Desalegn Markos Shifti
- Saint Paul's Hospital, Millennium Medical College, Addis Ababa, Ethiopia
- Faculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Muluken Dessalegn Muluneh
- School of Nursing and Midwifery, Western Sydney University, Penrith South, New South Wales, Australia
- Amref Health Africa in Ethiopia, Addis Ababa, Ethiopia
| | - Teketo Kassaw Tegegne
- Faculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia
- College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Solomon Abrha
- Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia
- Department of Pharmacology, Mekelle University, Mekelle, Ethiopia
| | - Atsede Fantahun Aregay
- School of Nursing and Midwifery, Monash University, Melbourne, Victoria, Australia
- School of Nursing, Mekelle University, Mekelle, Ethiopia
| | - Mohammed Biset Ayalew
- Department of Pharmacy, University of New England, Armidale, New South Wales, Australia
- Department of Clinical Pharmacy, University of Gondar, Gondar, Ethiopia
| | - Abadi Kahsu Gebre
- School of Pharmacy, Mekelle University, Mekelle, Ethiopia
- School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Kidane Tadesse Gebremariam
- Scool of Public Health, Mekelle University, Mekelle, Ethiopia
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
- Lifelong Health, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Tesfaye Gebremedhin
- Canberra School of Politics, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Lemlem Gebremichael
- Department of Pharmacology, Mekelle University, Mekelle, Ethiopia
- Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Cheru Tesema Leshargie
- College of Health Science, Debre Markos University, Debre Markos, Ethiopia
- School of Public Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Getiye Dejenu Kibret
- College of Health Science, Debre Markos University, Debre Markos, Ethiopia
- Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Maereg Wagnew Meazaw
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, New South Wales, Australia
| | - Alemayehu Berhane Mekonnen
- Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
- School of Pharmacy, University of Sydney, Sydney, New South Wales, Australia
| | - Dejen Yemane Tekle
- Scool of Public Health, Mekelle University, Mekelle, Ethiopia
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Azeb Gebresilassie Tesema
- Scool of Public Health, Mekelle University, Mekelle, Ethiopia
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Fisaha Haile Tesfay
- Scool of Public Health, Mekelle University, Mekelle, Ethiopia
- School of Health and Social development, Deakin University, Melbourne, Victoria, Australia
| | - Wubshet Tesfaye
- Health research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Befikadu Legesse Wubishet
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, New South Wales, Australia
| | - Berihun Assefa Dachew
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| |
Collapse
|
4
|
Alene KA, Gelaw YA, Fetene DM, Koye DN, Melaku YA, Gesesew H, Birhanu MM, Adane AA, Muluneh MD, Dachew BA, Abrha S, Aregay A, Ayele AA, Bezabhe WM, Gebremariam KT, Gebremedhin T, Gebremedhin AT, Gebremichael L, Geleto AB, Kassahun HT, Kibret GD, Leshargie CT, Mekonnen A, Mirkuzie AH, Mohammed H, Tegegn HG, Tesema AG, Tesfay FH, Wubishet BL, Kinfu Y. COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death. BMJ Open 2021; 11:e044606. [PMID: 33602713 PMCID: PMC7896372 DOI: 10.1136/bmjopen-2020-044606] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. METHODS Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. RESULTS This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples' Region. The risk of COVID-19-related death is high in the country's border regions, where public health preparedness for responding to COVID-19 is limited. CONCLUSION This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.
Collapse
Affiliation(s)
- Kefyalew Addis Alene
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, Western Australia, Australia
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
| | - Yalemzewod Assefa Gelaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
- School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Digsu N Koye
- Department of Medicine at Royal Melbourne Hospital and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Yohannes Adama Melaku
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Hailay Gesesew
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- School of Public Health, Mekelle University, Mekelle, Ethiopia
| | - Mulugeta Molla Birhanu
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- St Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Muluken Dessalegn Muluneh
- Western Sydney University, Penrith South, New South Wales, Australia
- Monitoring Evaluation and Research, Amref Health Africa in Ethiopia, Addis Ababa, Ethiopia
| | - Berihun Assefa Dachew
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
| | - Solomon Abrha
- University of Canberra, Canberra, Australian Capital Territory, Australia
- School of Pharmacy, Mekelle University, Mekelle, Ethiopia
| | - Atsede Aregay
- Monash University, Clayton, Victoria, Australia
- School of Nursing, Mekelle University, Mekelle, Ethiopia
| | - Asnakew Achaw Ayele
- School of Pharmacy, University of Gondar, Gondar, Ethiopia
- University of New England, Armidale, New South Wales, Australia
| | | | - Kidane Tadesse Gebremariam
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- Queensland University of Technology, Brisbane, Queensland, Australia
- Lifelong Health, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
| | | | - Amanuel Tesfay Gebremedhin
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, Western Australia, Australia
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Lemlem Gebremichael
- School of Pharmacy, Mekelle University, Mekelle, Ethiopia
- School of Pharmacy and Medical Sciences, Therapeutics Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Ayele Bali Geleto
- Haramaya University, Dire Dawa, Ethiopia
- Faculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia
| | | | - Getiye Dejenu Kibret
- College of Health Science, Debre Markos University, Debre Markos, Ethiopia
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Cheru Tesema Leshargie
- College of Health Science, Debre Markos University, Debre Markos, Ethiopia
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Alemayehu Mekonnen
- Deakin University, Burwood, Victoria, Australia
- School of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia
| | - Alemnesh H Mirkuzie
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Hassen Mohammed
- Vaccinology and Immunology Research Trials Unit, Women's and Children's Hospital, Adelaide, South Australia, Australia
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Henok Getachew Tegegn
- University of New England, Armidale, New South Wales, Australia
- Clinical Pharmacy Department, School of Pharmacy, University of Gondar, Gondar, Ethiopia
| | - Azeb Gebresilassie Tesema
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Fisaha Haile Tesfay
- School of Public Health, Mekelle University, Mekelle, Ethiopia
- Deakin University, Geelong, Institute for Health Transformation, Melbourne, Victoria, Australia
| | | | - Yohannes Kinfu
- University of Canberra, Canberra, Australian Capital Territory, Australia
- College of Medicine, Qatar University, Doha, Qatar
| |
Collapse
|
5
|
Alene KA, Jegnie A, Adane AA. Multidrug-resistant tuberculosis during pregnancy and adverse birth outcomes: a systematic review and meta-analysis. BJOG 2020; 128:1125-1133. [PMID: 33068306 DOI: 10.1111/1471-0528.16573] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 10/01/2020] [Accepted: 10/14/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Multidrug-resistant tuberculosis (MDR-TB) is a major global public health concern. However, there is a dearth of literature on whether MDR-TB and its medications impact maternal and perinatal outcomes, and when such evidence exists the findings are conflicting. OBJECTIVES This systematic review and meta-analysis aimed to examine the impact of MDR-TB and its medications during pregnancy on maternal and perinatal outcomes. SEARCH STRATEGY PubMed, Scopus and Web of Science databases were searched from earliest to February 2020. SELECTION CRITERIA Records were screened based on pre-defined selection criteria and assessed for quality by two independent reviewers. DATA COLLECTION AND ANALYSIS A meta-analysis was performed using the random effects model to calculate pooled prevalence for each outcome. MAIN RESULTS Of the 72 records identified, 12 were included in the systematic review and meta-analysis, consisting of 174 pregnant women with MDR-TB and 110 adverse outcomes. Maternal death, pregnancy loss, preterm birth and low birthweight were the most common maternal and perinatal adverse outcomes reported in the studies. The overall pooled prevalence was 7.5% (95% CI 3.2-12.8) for maternal death, 10.6% (95% CI 6.0-16.3) for pregnancy loss, 12.9% (95% CI 0.0-38.0) for preterm birth and 23.7% (95% CI 17.0-31.0) for low birthweight. CONCLUSIONS The findings suggest that MDR-TB is associated with a high risk of adverse maternal and perinatal outcomes, but these should be interpreted cautiously because the evidence is largely preliminary. Adequately powered prospective cohort studies are urgently required to corroborate these findings. TWEETABLE ABSTRACT Multidrug-resistant tuberculosis may increase the risk of adverse maternal and perinatal outcomes.
Collapse
Affiliation(s)
- K A Alene
- Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.,Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, WA, Australia.,Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - A Jegnie
- UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA, Australia
| | - A A Adane
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.,Telethon Kids Institute, The University of Western Australia, Nedlands, WA, Australia
| |
Collapse
|
6
|
Alene KA, Adane AA, Jegnie A. Impact of multidrug-resistant tuberculosis and its medications on adverse maternal and perinatal outcomes: protocol for a systematic review and meta-analysis. BMJ Open 2019; 9:e034821. [PMID: 31843857 PMCID: PMC6924852 DOI: 10.1136/bmjopen-2019-034821] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Multidrug-resistant tuberculosis (MDR-TB) is a common public health problem affecting pregnant women. However, the impact of MDR-TB and its medication on pregnancy and perinatal outcomes has been poorly understood and inconsistently reported. Therefore, using the available literature, we aim to determine whether MDR-TB and its medications during pregnancy impact maternal and perinatal outcomes. METHODS AND ANALYSIS This systematic review and meta-analysis will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Systematic searches will be conducted in PubMed, Scopus and Web of Science on 10 February 2020 for studies that reported adverse maternal and perinatal outcomes due to MDR-TB and/or its medication. The search will be performed without language and time restrictions. Adverse birth outcomes include miscarriage or abortion, stillbirth, preterm birth, low birth weight, small and large for gestational age, and neonatal death. Two independent reviewers will screen search records, extract data and assess the quality of the studies. The Newcastle-Ottawa Quality Assessment Scale will be used to assess the methodological quality of the included studies. In addition to a narrative synthesis, a random-effects meta-analysis will be conducted when sufficient data are available. I2 statistics will be used to assess the heterogeneity between studies. ETHICS AND DISSEMINATION As it will be a systematic review and meta-analysis based on previously published evidence, there will be no requirement for ethical approval. Findings will be published in a peer-reviewed journal and will be presented at various conferences.
Collapse
Affiliation(s)
- Kefyalew Addis Alene
- Health Sciences, Curtin University Bentley Campus, Perth, Western Australia, Australia
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | | | - Alemken Jegnie
- Agriculture and Environment, The University of Western Australia, Crawley, Western Australia, Australia
| |
Collapse
|
7
|
Alene KA, Adane AA, Yifiru S, Bitew BD, Adane A, Koye DN. Knowledge and practice of health workers about control and prevention of multidrug-resistant tuberculosis in referral hospitals, Ethiopia: a cross-sectional study. BMJ Open 2019; 9:e022948. [PMID: 30782870 PMCID: PMC6368005 DOI: 10.1136/bmjopen-2018-022948] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE The aim of this study was to assess the knowledge and practice of health workers about multidrug-resistant tuberculosis (MDR-TB) prevention and control. STUDY DESIGN AND SETTINGS A cross-sectional study was conducted at Gondar University Referral Hospital and Felege Hiwot Referral Hospital. PARTICIPANTS Randomly selected health workers (ie, medical doctor, nurse, health officer, pharmacy, medical laboratory and midwifery) were the study participants. OUTCOME MEASURES The main outcomes were knowledge and self-reported practice of health workers about MDR-TB. RESULTS A total of 377 health workers (with a response rate of 93.7%) participated in the study. The majority of respondents were nurses (52.5%, n=198) and medical doctors (15.6%, n=59). The mean knowledge score was seven out of 10; 149 (39.5%) of respondents scored seven or more which was considered as good knowledge. MDR-TB knowledge of health workers was significantly associated with having a postgraduate degree (adjusted odds ratio (AOR)=5.78; 95% CI 2.33 to 14.33), taking infection prevention training (AOR=1.79; 95% CI 1.00, to 3.17) and having a history of tuberculosis (TB) (AOR=1.85; 95% CI 1.12, to 3.03). The mean self-reported practice score was four out of seven; one-fifth (19.6%) of respondents scored four or more which was considered as good practice. Self-reported practice of health workers was significantly associated with working at internal medicine (AOR=4.64; 95% CI 1.99, to 10.81) and paediatrics (AOR=3.85; 95% CI 1.11, to 13.34) wards, being in the age groups of 26-30 years (AOR=2.70; 95% CI 1.27, to 5.76), and 30 years and above (AOR=4.42; 95% CI 1.77, to 11.00). CONCLUSIONS This study found low knowledge and self-reported practice score among health workers. MDR-TB knowledge of health workers was significantly associated with educational status, infection prevention training and previous history of TB. This finding highlights the potential of providing MDR-TB training for health workers to increase their knowledge about MDR-TB.
Collapse
Affiliation(s)
- Kefyalew Addis Alene
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sisay Yifiru
- School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bikes Destaw Bitew
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aynishet Adane
- School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Digsu Negese Koye
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
8
|
Stanaway JD, Afshin A, Gakidou E, Lim SS, Abate D, Abate KH, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe M, Abebe Z, Abera SF, Abil OZ, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya D, Acharya P, Adamu AA, Adane AA, Adebayo OM, Adedoyin RA, Adekanmbi V, Ademi Z, Adetokunboh OO, Adib MG, Admasie A, Adsuar JC, Afanvi KA, Afarideh M, Agarwal G, Aggarwal A, Aghayan SA, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akbari ME, Akinyemiju T, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Mekhlafi HM, Alahdab F, Alam K, Alam S, Alam T, Alashi A, Alavian SM, Alene KA, Ali K, Ali SM, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Ammar W, Anber NH, Anderson JA, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansha MG, Antó JM, Antonio CAT, Anwari P, Appiah LT, Appiah SCY, Arabloo J, Aremu O, Ärnlöv J, Artaman A, Aryal KK, Asayesh H, Ataro Z, Ausloos M, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayer R, Ayuk TB, Azzopardi PS, Babazadeh A, Badali H, Badawi A, Balakrishnan K, Bali AG, Ball K, Ballew SH, Banach M, Banoub JAM, Barac A, Barker-Collo SL, Bärnighausen TW, Barrero LH, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Bekru ET, Belay E, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Bergeron G, Berhane A, Bernabe E, Bernstein RS, Beuran M, Beyranvand T, Bhala N, Bhalla A, Bhattarai S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bilano V, Bililign N, Bin Sayeed MS, Bisanzio D, Biswas T, Bjørge T, Blacker BF, Bleyer A, Borschmann R, Bou-Orm IR, Boufous S, Bourne R, Brady OJ, Brauer M, Brazinova A, Breitborde NJK, Brenner H, Briko AN, Britton G, Brugha T, Buchbinder R, Burnett RT, Busse R, Butt ZA, Cahill LE, Cahuana-Hurtado L, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Causey K, Cercy KM, Cerin E, Chaiah Y, Chang HY, Chang JC, Chang KL, Charlson FJ, Chattopadhyay A, Chattu VK, Chee ML, Cheng CY, Chew A, Chiang PPC, Chimed-Ochir O, Chin KL, Chitheer A, Choi JYJ, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Cirillo M, Cohen AJ, Collado-Mateo D, Cooper C, Cooper OR, Coresh J, Cornaby L, Cortesi PA, Cortinovis M, Costa M, Cousin E, Criqui MH, Cromwell EA, Cundiff DK, Daba AK, Dachew BA, Dadi AF, Damasceno AAM, Dandona L, Dandona R, Darby SC, Dargan PI, Daryani A, Das Gupta R, Das Neves J, Dasa TT, Dash AP, Davitoiu DV, Davletov K, De la Cruz-Góngora V, De La Hoz FP, De Leo D, De Neve JW, Degenhardt L, Deiparine S, Dellavalle RP, Demoz GT, Denova-Gutiérrez E, Deribe K, Dervenis N, Deshpande A, Des Jarlais DC, Dessie GA, Deveber GA, Dey S, Dharmaratne SD, Dhimal M, Dinberu MT, Ding EL, Diro HD, Djalalinia S, Do HP, Dokova K, Doku DT, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebert N, Ebrahimi H, Ebrahimpour S, Edvardsson D, Effiong A, Eggen AE, El Bcheraoui C, El-Khatib Z, Elyazar IR, Enayati A, Endries AY, Er B, Erskine HE, Eskandarieh S, Esteghamati A, Estep K, Fakhim H, Faramarzi M, Fareed M, Farid TA, Farinha CSES, Farioli A, Faro A, Farvid MS, Farzaei MH, Fatima B, Fay KA, Fazaeli AA, Feigin VL, Feigl AB, Fereshtehnejad SM, Fernandes E, Fernandes JC, Ferrara G, Ferrari AJ, Ferreira ML, Filip I, Finger JD, Fischer F, Foigt NA, Foreman KJ, Fukumoto T, Fullman N, Fürst T, Furtado JM, Futran ND, Gall S, Gallus S, Gamkrelidze A, Ganji M, Garcia-Basteiro AL, Gardner WM, Gebre AK, Gebremedhin AT, Gebremichael TG, Gelano TF, Geleijnse JM, Geramo YCD, Gething PW, Gezae KE, Ghadimi R, Ghadiri K, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghimire M, Ghosh R, Ghoshal AG, Giampaoli S, Gill PS, Gill TK, Gillum RF, Ginawi IA, Giussani G, Gnedovskaya EV, Godwin WW, Goli S, Gómez-Dantés H, Gona PN, Gopalani SV, Goulart AC, Grada A, Grams ME, Grosso G, Gugnani HC, Guo Y, Gupta R, Gupta R, Gupta T, Gutiérrez RA, Gutiérrez-Torres DS, Haagsma JA, Habtewold TD, Hachinski V, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Hao Y, Harb HL, Harikrishnan S, Haro JM, Hassankhani H, Hassen HY, Havmoeller R, Hawley CN, Hay SI, Hedayatizadeh-Omran A, Heibati B, Heidari B, Heidari M, Hendrie D, Henok A, Heredia-Pi I, Herteliu C, Heydarpour F, Heydarpour S, Hibstu DT, Higazi TB, Hilawe EH, Hoek HW, Hoffman HJ, Hole MK, Homaie Rad E, Hoogar P, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hoy DG, Hsairi M, Hsiao T, Hu G, Hu H, Huang JJ, Hussen MA, Huynh CK, Iburg KM, Ikeda N, Ilesanmi OS, Iqbal U, Irvani SSN, Irvine CMS, Islam SMS, Islami F, Jackson MD, Jacobsen KH, Jahangiry L, Jahanmehr N, Jain SK, Jakovljevic M, James SL, Jassal SK, Jayatilleke AU, Jeemon P, Jha RP, Jha V, Ji JS, Jonas JB, Jonnagaddala J, Jorjoran Shushtari Z, Joshi A, Jozwiak JJ, Jürisson M, Kabir Z, Kahsay A, Kalani R, Kanchan T, Kant S, Kar C, Karami M, Karami Matin B, Karch A, Karema C, Karimi N, Karimi SM, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassebaum NJ, Katikireddi SV, Kaul A, Kawakami N, Kazemi Z, Karyani AK, Kefale AT, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kesavachandran CN, Khader YS, Khafaei B, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan G, Khan MS, Khan MA, Khang YH, Khater MM, Khazaei M, Khazaie H, Khoja AT, Khosravi A, Khosravi MH, Kiadaliri AA, Kiirithio DN, Kim CI, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimäki M, Knibbs LD, Knudsen AKS, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krohn KJ, Kromhout H, Kuate Defo B, Kucuk Bicer B, Kumar GA, Kumar M, Kuzin I, Kyu HH, Lachat C, Lad DP, Lad SD, Lafranconi A, Lalloo R, Lallukka T, Lami FH, Lang JJ, Lansingh VC, Larson SL, Latifi A, Lazarus JV, Lee PH, Leigh J, Leili M, Leshargie CT, Leung J, Levi M, Lewycka S, Li S, Li Y, Liang J, Liang X, Liao Y, Liben ML, Lim LL, Linn S, Liu S, Lodha R, Logroscino G, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Lucas TCD, Lunevicius R, Ma S, Macarayan ERK, Machado ÍE, Madotto F, Mai HT, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Manda AL, Manguerra H, Mansournia MA, Mantovani LG, Maravilla JC, Marcenes W, Marks A, Martin RV, Martins SCO, Martins-Melo FR, März W, Marzan MB, Massenburg BB, Mathur MR, Mathur P, Matsushita K, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McKee M, Mehrotra R, Mehta KM, Mehta V, Meier T, Mekonnen FA, Melaku YA, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mensah GA, Mensink GBM, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miazgowski B, Miazgowski T, Millear AI, Miller TR, Miller-Petrie MK, Mini GK, Mirarefin M, Mirica A, Mirrakhimov EM, Misganaw AT, Mitiku H, Moazen B, Mohajer B, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammadnia-Afrouzi M, Mohammed S, Mohebi F, Mokdad AH, Molokhia M, Momeniha F, Monasta L, Moodley Y, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Morgado-Da-Costa J, Morrison SD, Moschos MM, Mouodi S, Mousavi SM, Mozaffarian D, Mruts KB, Muche AA, Muchie KF, Mueller UO, Muhammed OS, Mukhopadhyay S, Muller K, Musa KI, Mustafa G, Nabhan AF, Naghavi M, Naheed A, Nahvijou A, Naik G, Naik N, Najafi F, Nangia V, Nansseu JR, Nascimento BR, Neal B, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngunjiri JW, Nguyen AQ, Nguyen G, Nguyen HT, Nguyen HLT, Nguyen HT, Nguyen M, Nguyen NB, Nichols E, Nie J, Ningrum DNA, Nirayo YL, Nishi N, Nixon MR, Nojomi M, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Nourollahpour Shiadeh M, Nowroozi MR, Nsoesie EO, Nyasulu PS, Obermeyer CM, Odell CM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Olsen HE, Olusanya BO, Olusanya JO, Ong KL, Ong SK, Oren E, Orpana HM, Ortiz A, Ota E, Otstavnov SS, Øverland S, Owolabi MO, P A M, Pacella R, Pakhare AP, Pakpour AH, Pana A, Panda-Jonas S, Park EK, Parry CDH, Parsian H, Patel S, Pati S, Patil ST, Patle A, Patton GC, Paudel D, Paulson KR, Paz Ballesteros WC, Pearce N, Pereira A, Pereira DM, Perico N, Pesudovs K, Petzold M, Pham HQ, Phillips MR, Pillay JD, Piradov MA, Pirsaheb M, Pischon T, Pishgar F, Plana-Ripoll O, Plass D, Polinder S, Polkinghorne KR, Postma MJ, Poulton R, Pourshams A, Poustchi H, Prabhakaran D, Prakash S, Prasad N, Purcell CA, Purwar MB, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi Z, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rai RK, Rajati F, Rajsic S, Raju SB, Ram U, Ranabhat CL, Ranjan P, Rath GK, Rawaf DL, Rawaf S, Reddy KS, Rehm CD, Rehm J, Reiner RC, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Reynales-Shigematsu LM, Rezaei S, Ribeiro ALP, Rivera JA, Roba KT, Rodríguez-Ramírez S, Roever L, Román Y, Ronfani L, Roshandel G, Rostami A, Roth GA, Rothenbacher D, Roy A, Rubagotti E, Rushton L, Sabanayagam C, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salam N, Salamati P, Saleem Z, Salimi Y, Salimzadeh H, Salomon JA, Salvi DD, Salz I, Samy AM, Sanabria J, Sanchez-Niño MD, Sánchez-Pimienta TG, Sanders T, Sang Y, Santomauro DF, Santos IS, Santos JV, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarmiento-Suárez R, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saylan M, Sayyah M, Schaeffner E, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Seedat S, Sekerija M, Sepanlou SG, Serre ML, Serván-Mori E, Seyedmousavi S, Shabaninejad H, Shaddick G, Shafieesabet A, Shahbazi M, Shaheen AA, Shaikh MA, Shamah Levy T, Shams-Beyranvand M, Shamsi M, Sharafi H, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharifi H, Sharma J, Sharma M, Sharma R, She J, Sheikh A, Shi P, Shibuya K, Shiferaw MS, Shigematsu M, Shin MJ, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shoman H, Shrime MG, Shupler MS, Si S, Siabani S, Sibai AM, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Silveira DGA, Singh JA, Singh NP, Singh V, Sinha DN, Skiadaresi E, Skirbekk V, Smith DL, Smith M, Sobaih BH, Sobhani S, Somayaji R, Soofi M, Sorensen RJD, Soriano JB, Soyiri IN, Spinelli A, Sposato LA, Sreeramareddy CT, Srinivasan V, Starodubov VI, Steckling N, Stein DJ, Stein MB, Stevanovic G, Stockfelt L, Stokes MA, Sturua L, Subart ML, Sudaryanto A, Sufiyan MB, Sulo G, Sunguya BF, Sur PJ, Sykes BL, Szoeke CEI, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Takahashi K, Tandon N, Tassew SG, Tavakkoli M, Taveira N, Tehrani-Banihashemi A, Tekalign TG, Tekelemedhin SW, Tekle MG, Temesgen H, Temsah MH, Temsah O, Terkawi AS, Tessema B, Teweldemedhin M, Thankappan KR, Theis A, Thirunavukkarasu S, Thomas HJ, Thomas ML, Thomas N, Thurston GD, Tilahun B, Tillmann T, To QG, Tobollik M, Tonelli M, Topor-Madry R, Torre AE, Tortajada-Girbés M, Touvier M, Tovani-Palone MR, Towbin JA, Tran BX, Tran KB, Truelsen TC, Truong NT, Tsadik AG, Tudor Car L, Tuzcu EM, Tymeson HD, Tyrovolas S, Ukwaja KN, Ullah I, Updike RL, Usman MS, Uthman OA, Vaduganathan M, Vaezi A, Valdez PR, Van Donkelaar A, Varavikova E, Varughese S, Vasankari TJ, Venkateswaran V, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vu GT, Vujcic IS, Wagnew FS, Waheed Y, Waller SG, Walson JL, Wang Y, Wang Y, Wang YP, Weiderpass E, Weintraub RG, Weldegebreal F, Werdecker A, Werkneh AA, West JJ, Westerman R, Whiteford HA, Widecka J, Wijeratne T, Winkler AS, Wiyeh AB, Wiysonge CS, Wolfe CDA, Wong TY, Wu S, Xavier D, Xu G, Yadgir S, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zaidi Z, Zaman SB, Zamani M, Zavala-Arciniega L, Zhang AL, Zhang H, Zhang K, Zhou M, Zimsen SRM, Zodpey S, Murray CJL. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1923-1994. [PMID: 30496105 PMCID: PMC6227755 DOI: 10.1016/s0140-6736(18)32225-6] [Citation(s) in RCA: 2618] [Impact Index Per Article: 436.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 08/31/2018] [Accepted: 09/05/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations. METHODS We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. FINDINGS In 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. INTERPRETATION By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
9
|
Fullman N, Yearwood J, Abay SM, Abbafati C, Abd-Allah F, Abdela J, Abdelalim A, Abebe Z, Abebo TA, Aboyans V, Abraha HN, Abreu DMX, Abu-Raddad LJ, Adane AA, Adedoyin RA, Adetokunboh O, Adhikari TB, Afarideh M, Afshin A, Agarwal G, Agius D, Agrawal A, Agrawal S, Ahmad Kiadaliri A, Aichour MTE, Akibu M, Akinyemi RO, Akinyemiju TF, Akseer N, Al Lami FH, Alahdab F, Al-Aly Z, Alam K, Alam T, Alasfoor D, Albittar MI, Alene KA, Al-Eyadhy A, Ali SD, Alijanzadeh M, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen C, Alomari MA, Al-Raddadi R, Alsharif U, Altirkawi KA, Alvis-Guzman N, Amare AT, Amenu K, Ammar W, Amoako YA, Anber N, Andrei CL, Androudi S, Antonio CAT, Araújo VEM, Aremu O, Ärnlöv J, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Asgedom SW, Asghar RJ, Ashebir MM, Asseffa NA, Atey TM, Atre SR, Atteraya MS, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayalew AA, Ayele HT, Ayer R, Ayuk TB, Azzopardi P, Azzopardi-Muscat N, Babalola TK, Badali H, Badawi A, Banach M, Banerjee A, Banstola A, Barber RM, Barboza MA, Barker-Collo SL, Bärnighausen T, Barquera S, Barrero LH, Bassat Q, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Bekele BB, Belachew AB, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bennett JR, Bensenor IM, Berhe DF, Bernabé E, Bernstein RS, Beuran M, Bhalla A, Bhatt P, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Birungi C, Biryukov S, Bizuneh H, Bolliger IW, Bolt K, Bou-Orm IR, Bozorgmehr K, Brady OJ, Brazinova A, Breitborde NJK, Brenner H, Britton G, Brugha TS, Butt ZA, Cahuana-Hurtado L, Campos-Nonato IR, Campuzano JC, Car J, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Catalá-López F, Cercy K, Chalek J, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chiang PPC, Chisumpa VH, Choi JYJ, Christensen H, Christopher DJ, Chung SC, Ciobanu LG, Cirillo M, Colombara D, Conti S, Cooper C, Cornaby L, Cortesi PA, Cortinovis M, Costa Pereira A, Cousin E, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Daba AK, Dachew BA, Dadi AF, Dandona L, Dandona R, Dargan PI, Daryani A, Daryani M, Das J, Das SK, das Neves J, Davis Weaver N, Davletov K, de Courten B, De Leo D, De Neve JW, Dellavalle RP, Demoz G, Deribe K, Des Jarlais DC, Dey S, Dharmaratne SD, Dhimal M, Djalalinia S, Doku DT, Dolan K, Dorsey ER, dos Santos KPB, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duncan BB, Echko M, Edessa D, Edvardsson D, Ehrlich JR, Eldrenkamp E, El-Khatib ZZ, Endres M, Endries AY, Eshrati B, Eskandarieh S, Esteghamati A, Fakhar M, Farag T, Faramarzi M, Faraon EJA, Faro A, Farzadfar F, Fatusi A, Fazeli MS, Feigin VL, Feigl AB, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Fijabi DO, Filip I, Fischer F, Fitzmaurice C, Flaxman AD, Flor LS, Foigt N, Foreman KJ, Frostad JJ, Fürst T, Futran ND, Gakidou E, Gallus S, Gambashidze K, Gamkrelidze A, Ganji M, Gebre AK, Gebrehiwot TT, Gebremedhin AT, Gelaw YA, Geleijnse JM, Geremew D, Gething PW, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Gill PS, Giref AZ, Giroud M, Gishu MD, Giussani G, Godwin WW, Goli S, Gomez-Dantes H, Gona PN, Goodridge A, Gopalani SV, Goryakin Y, Goulart AC, Grada A, Griswold M, Grosso G, Gugnani HC, Guo Y, Gupta R, Gupta R, Gupta T, Gupta T, Gupta V, Haagsma JA, Hachinski V, Hafezi-Nejad N, Hailu GB, Hamadeh RR, Hamidi S, Hankey GJ, Harb HL, Harewood HC, Harikrishnan S, Haro JM, Hassen HY, Havmoeller R, Hawley C, Hay SI, He J, Hearps SJC, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henry NJ, Herrera Ballesteros VH, Herteliu C, Hibstu DT, Hiluf MK, Hoek HW, Homaie Rad E, Horita N, Hosgood HD, Hosseini M, Hosseini SR, Hostiuc M, Hostiuc S, Hoy DG, Hsairi M, Htet AS, Hu G, Huang JJ, Iburg KM, Idris F, Igumbor EU, Ikeda C, Ileanu BV, Ilesanmi OS, Innos K, Irvani SSN, Irvine CMS, Islami F, Jacobs TA, Jacobsen KH, Jahanmehr N, Jain R, Jain SK, Jakovljevic MB, Jalu MT, Jamal AA, Javanbakht M, Jayatilleke AU, Jeemon P, Jha RP, Jha V, Jóúwiak J, John O, Johnson SC, Jonas JB, Joshua V, Jürisson M, Kabir Z, Kadel R, Kahsay A, Kalani R, Kar C, Karanikolos M, Karch A, Karema CK, Karimi SM, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassebaum NJ, Katikireddi SV, Kaul A, Kawakami N, Kazanjan K, Kebede S, Keiyoro PN, Kemp GR, Kengne AP, Kereselidze M, Ketema EB, Khader YS, Khafaie MA, Khajavi A, Khalil IA, Khan EA, Khan G, Khan MN, Khan MA, Khanal MN, Khang YH, Khater MM, Khoja ATA, Khosravi A, Khubchandani J, Kibret GD, Kiirithio DN, Kim D, Kim YJ, Kimokoti RW, Kinfu Y, Kinra S, Kisa A, Kissoon N, Kochhar S, Kokubo Y, Kopec JA, Kosen S, Koul PA, Koyanagi A, Kravchenko M, Krishan K, Krohn KJ, Kuate Defo B, Kumar GA, Kumar P, Kutz M, Kuzin I, Kyu HH, Lad DP, Lafranconi A, Lal DK, Lalloo R, Lam H, Lan Q, Lang JJ, Lansingh VC, Lansky S, Larsson A, Latifi A, Lazarus JV, Leasher JL, Lee PH, Legesse Y, Leigh J, Leshargie CT, Leta S, Leung J, Leung R, Levi M, Li Y, Liang J, Liben ML, Lim LL, Lim SS, Lind M, Linn S, Listl S, Liu P, Liu S, Lodha R, Lopez AD, Lorch SA, Lorkowski S, Lotufo PA, Lucas TCD, Lunevicius R, Lurton G, Lyons RA, Maalouf F, Macarayan ERK, Mackay MT, Maddison ER, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malhotra R, Malta DC, Mamun AA, Manhertz T, Manguerra H, Mansournia MA, Mantovani LG, Manyazewal T, Mapoma CC, Margono C, Martinez-Raga J, Martins SCO, Martins-Melo FR, Martopullo I, März W, Massenburg BB, Mathur MR, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McKee M, Mehata S, Mehrotra R, Mehta KM, Mehta V, Meier T, Mejia-Rodriguez F, Meles KG, Melku M, Memiah P, Memish ZA, Mendoza W, Mengiste DA, Mengistu DT, Menota BG, Mensah GA, Meretoja A, Meretoja TJ, Mezgebe HB, Miazgowski T, Micha R, Milam R, Millear A, Miller TR, Mini GK, Minnig S, Mirica A, Mirrakhimov EM, Misganaw A, Mitchell PB, Mlashu FW, Moazen B, Mohammad KA, Mohammadibakhsh R, Mohammed E, Mohammed MA, Mohammed S, Mokdad AH, Mola GL, Molokhia M, Momeniha F, Monasta L, Montañez Hernandez JC, Moosazadeh M, Moradi-Lakeh M, Moraga P, Morawska L, Moreno Velasquez I, Mori R, Morrison SD, Moses M, Mousavi SM, Mueller UO, Murhekar M, Murthy GVS, Murthy S, Musa J, Musa KI, Mustafa G, Muthupandian S, Nagata C, Nagel G, Naghavi M, Naheed A, Naik GA, Naik N, Najafi F, Naldi L, Nangia V, Nansseu JRN, Narayan KMV, Nascimento BR, Negoi I, Negoi RI, Newton CR, Ngunjiri JW, Nguyen G, Nguyen L, Nguyen TH, Nichols E, Ningrum DNA, Nolte E, Nong VM, Norheim OF, Norrving B, Noubiap JJN, Nyandwi A, Obermeyer CM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Oliveira PPVD, Olsen HE, Olusanya BO, Olusanya JO, Ong K, Opio JN, Oren E, Ortega-Altamirano DV, Ortiz A, Ozdemir R, PA M, Pain AW, Palone MRT, Pana A, Panda-Jonas S, Pandian JD, Park EK, Parsian H, Patel T, Pati S, Patil ST, Patle A, Patton GC, Paturi VR, Paudel D, Pedroso MDM, Pedroza SP, Pereira DM, Perico N, Peterson H, Petzold M, Peykari N, Phillips MR, Piel FB, Pigott DM, Pillay JD, Piradov MA, Polinder S, Pond CD, Postma MJ, Pourmalek F, Prakash S, Prakash V, Prasad N, Prasad NM, Purcell C, Qorbani M, Quintana HK, Radfar A, Rafay A, Rafiei A, Rahimi K, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahman SU, Rai RK, Raju SB, Ram U, Rana SM, Rankin Z, Rasella D, Rawaf DL, Rawaf S, Ray SE, Razo-García CA, Reddy P, Reiner RC, Reis C, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezai MS, Ribeiro AL, Rios Blancas MJ, Rivera JA, Roever L, Ronfani L, Roshandel G, Rostami A, Roth GA, Rothenbacher D, Roy A, Roy N, Ruhago GM, Sabde YD, Sachdev PS, Sadat N, Safdarian M, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salama J, Salamati P, Saldanha RDF, Salimzadeh H, Salomon JA, Samy AM, Sanabria JR, Sancheti PK, Sanchez-Niño MD, Santomauro D, Santos IS, Santric Milicevic MM, Sarker AR, Sarrafzadegan N, Sartorius B, Satpathy M, Savic M, Sawhney M, Saxena S, Saylan MI, Schaeffner E, Schmidhuber J, Schmidt MI, Schneider IJC, Schumacher AE, Schutte AE, Schwebel DC, Schwendicke F, Sekerija M, Sepanlou SG, Servan-Mori EE, Shafieesabet A, Shaikh MA, Shakh-Nazarova M, Shams-Beyranvand M, Sharafi H, Sharif-Alhoseini M, Shariful Islam SM, Sharma M, Sharma R, She J, Sheikh A, Shfare MT, Shi P, Shields C, Shigematsu M, Shinohara Y, Shiri R, Shirkoohi R, Shiue I, Shrime MG, Shukla SR, Siabani S, Sigfusdottir ID, Silberberg DH, Silva DAS, Silva JP, Silveira DGA, Singh JA, Singh L, Singh NP, Singh V, Sinha DN, Sinke AH, Sisay M, Skirbekk V, Sliwa K, Smith A, Soares Filho AM, Sobaih BHA, Somai M, Soneji S, Soofi M, Sorensen RJD, Soriano JB, Soyiri IN, Sposato LA, Sreeramareddy CT, Srinivasan V, Stanaway JD, Stathopoulou V, Steel N, Stein DJ, Stokes MA, Sturua L, Sufiyan MB, Suliankatchi RA, Sunguya BF, Sur PJ, Sykes BL, Sylaja PN, Tabarés-Seisdedos R, Tadakamadla SK, Tadesse AH, Taffere GR, Tandon N, Tariku AT, Taveira N, Tehrani-Banihashemi A, Temam Shifa G, Temsah MH, Terkawi AS, Tesema AG, Tesfaye DJ, Tessema B, Thakur JS, Thomas N, Thompson MJ, Tillmann T, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Topouzis F, Torre A, Tortajada M, Tran BX, Tran KB, Tripathi A, Tripathy SP, Troeger C, Truelsen T, Tsoi D, Tudor Car L, Tuem KB, Tyrovolas S, Uchendu US, Ukwaja KN, Ullah I, Updike R, Uthman OA, Uzochukwu BSC, Valdez PR, van Boven JFM, Varughese S, Vasankari T, Violante FS, Vladimirov SK, Vlassov VV, Vollset SE, Vos T, Wagnew F, Waheed Y, Wallin MT, Walson JL, Wang Y, Wang YP, Wassie MM, Weaver MR, Weiderpass E, Weintraub RG, Weiss J, Weldegwergs KG, Werdecker A, West TE, Westerman R, White RG, Whiteford HA, Widecka J, Winkler AS, Wiysonge CS, Wolfe CDA, Wondimkun YA, Workicho A, Wyper GMA, Xavier D, Xu G, Yan LL, Yano Y, Yaseri M, Yimer NB, Yin P, Yip P, Yirsaw BD, Yonemoto N, Yonga G, Yoon SJ, Yotebieng M, Younis MZ, Yu C, Zadnik V, Zaidi Z, Zaki MES, Zaman SB, Zamani M, Zenebe ZM, Zhou M, Zhu J, Zimsen SRM, Zipkin B, Zodpey S, Zuhlke LJ, Murray CJL, Lozano R. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. Lancet 2018; 391:2236-2271. [PMID: 29893224 PMCID: PMC5986687 DOI: 10.1016/s0140-6736(18)30994-2] [Citation(s) in RCA: 504] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 03/23/2018] [Accepted: 04/18/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. METHODS Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. FINDINGS In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. INTERPRETATION GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view-and subsequent provision-of quality health care for all populations. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
10
|
Adane AA, Dobson A, Tooth L, Mishra GD. Maternal preconception weight trajectories are associated with offsprings' childhood obesity. Int J Obes (Lond) 2018; 42:1265-1274. [PMID: 29795458 DOI: 10.1038/s41366-018-0078-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 03/04/2018] [Accepted: 03/12/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVES This study aimed to examine the associations between (1) mothers' preconception body mass index (BMI) trajectories over 6-7 years and offspring childhood BMI, and (2) mothers' BMI changes between first and second pregnancy and the second-born child's BMI. METHODS We used data (1606 mothers with 2733 children with mean age 7.7 years, SD 2.9) from the Australian Longitudinal Study on Women's Health and the Mothers and their Children's Health study. Preconception BMI trajectories were identified using latent class growth modeling. Children were categorized as underweight, normal, overweight or obese based on age and sex-specific BMI cut-off points for children. Multinomial and binary logistic regression were used for analyses. RESULTS We identified three preconception BMI trajectories, named as 'normative' (61.2%), 'chronically overweight' (30.7%), and 'chronically obese' (8.1%). Children born to 'chronically overweight' and 'chronically obese' mothers were more likely to be overweight than normal weight relative to children born to women with a 'normative' BMI trajectory. The corresponding adjusted relative risk ratios (RRRs) (95% confidence interval [CI]) of childhood overweight were 1.75 (1.33, 2.31) for chronically overweight mothers and 2.48 (1.65, 3.73) for chronically obese mothers. Similarly, we found a much stronger association between 'chronically overweight' and 'chronically obese' BMI trajectories and childhood risk of obesity; RRR (95% CI), 2.49 (1.41, 4.40) and 6.65 (3.40, 13.01), respectively. Second-born children of mothers with high interpregnancy weight gain (≥4 BMI units) were also at higher risk of being overweight or obese (OR = 2.20, 95% CI: 1.02, 4.75) compared with children of mothers with stable interpregnancy weight (gain or loss of 1 BMI unit or less). CONCLUSIONS In this population-based prospective cohort study, we found strong dose-response associations between preconception BMI trajectories and offsprings' childhood BMI.
Collapse
Affiliation(s)
- Akilew Awoke Adane
- The University of Queensland, School of Public Health, Centre for Longitudinal and Life Course Research, Herston, Qld, 4006, Australia.
| | - Annette Dobson
- The University of Queensland, School of Public Health, Centre for Longitudinal and Life Course Research, Herston, Qld, 4006, Australia
| | - Leigh Tooth
- The University of Queensland, School of Public Health, Centre for Longitudinal and Life Course Research, Herston, Qld, 4006, Australia
| | - Gita D Mishra
- The University of Queensland, School of Public Health, Centre for Longitudinal and Life Course Research, Herston, Qld, 4006, Australia
| |
Collapse
|
11
|
Ayano G, Assefa D, Haile K, Chaka A, Haile K, Solomon M, Yohannis K, Adane AA, Jemal K. Correction to: Mental health training for primary health care workers and implication for success of integration of mental health into primary care: evaluation of effect on knowledge, attitude and practices (KAP). Int J Ment Health Syst 2017; 11:68. [PMID: 29155902 PMCID: PMC5681778 DOI: 10.1186/s13033-017-0175-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 11/01/2017] [Indexed: 12/01/2022] Open
Affiliation(s)
- Getinet Ayano
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Dawit Assefa
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Kibrom Haile
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Asrat Chaka
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Kelemua Haile
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Melat Solomon
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | - Kalkidan Yohannis
- Research and Training Department, Amanuel Mental Specialized Hospital, PO Box: 1971, Addis Ababa, Ethiopia
| | | | - Kemal Jemal
- Academic and Research, College of Health Science, Salale University, Fitche, Ethiopia
| |
Collapse
|
12
|
Ferede AT, Dadi AF, Tariku A, Adane AA. Prevalence and determinants of active trachoma among preschool-aged children in Dembia District, Northwest Ethiopia. Infect Dis Poverty 2017; 6:128. [PMID: 28988539 PMCID: PMC5632823 DOI: 10.1186/s40249-017-0345-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 08/02/2017] [Indexed: 11/10/2022] Open
Abstract
Background Trachoma is an infectious eye disease caused by Chlamydia trachomatis, which is the leading infectious cause of blindness worldwide. In areas where trachoma is endemic, active trachoma is common among preschool-aged children, with varying magnitude. This study aimed to estimate the prevalence of active trachoma and associated risk factors among preschool-aged children in Dembia District, northwest Ethiopia. Methods A community-based cross-sectional survey was conducted among preschool-aged children of northwest Ethiopia. Multistage systematic random sampling was used to select 695 subjects. Trained clinical optometrists subjected each child to an ocular examination and assessed the presence of active trachoma. Face to face interview using pretested and structured questionnaire were conducted to collect data on possible risk factors. Trachoma cases were graded following a World Health Organization simplified grading scheme. All statistical analysis was carried out using the SPSS software version 20. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were used to identify factors associated with active trachoma. Results Of the 681 preschool-aged children studied, 18% (95% CI: 15.4% – 21.1%) had a prevalence of active trachoma. Children who had clean faces (absence of nasal and ocular discharges) had a lower chance of having active trachoma [aOR = 0.55, 95% CI: 0.37 – 0.82]. The odds of having active trachoma decreased with an increase in the distance to a water point [aOR = 0.51, 95% CI: 0.33 – 0.78]. Similarly, no or poor utilization of liquid waste disposal in the child’s household was associated with an increased chance of having active trachoma [aOR = 3.83, 95% CI: 1.26 – 11.61]. Conclusion The prevalence of active trachoma in these preschool-aged children was found to be high and needs special interventions that focus on educating families about proper face washing, liquid waste disposal, and improving safe water supply near the households. Electronic supplementary material The online version of this article (doi:10.1186/s40249-017-0345-8) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Ayanaw Tsega Ferede
- Department of Optometry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abel Fekadu Dadi
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Amare Tariku
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
13
|
Adane AA, Tooth LR, Mishra GD. Pre-pregnancy weight change and incidence of gestational diabetes mellitus: A finding from a prospective cohort study. Diabetes Res Clin Pract 2017; 124:72-80. [PMID: 28110238 DOI: 10.1016/j.diabres.2016.12.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 11/09/2016] [Accepted: 12/22/2016] [Indexed: 11/23/2022]
Abstract
AIMS In a population-based cohort study we examined the associations between early adult pre-pregnancy weight change and the risk of gestational diabetes mellitus (GDM). METHODS The study included 3111 women from the 1973-78 cohort of the Australian Longitudinal Study on Women's Health. These women have been surveyed regularly since 1996. Women without diabetes and GDM were followed-up between 2003 and 2012. Generalized estimating equations were used to assess the effect of baseline (1996, mean age 20years) and pre-pregnancy body mass index (BMI) and the pre-pregnancy weight changes on the incidence of GDM. The full models were adjusted for sociodemographic and lifestyle factors. RESULTS From 2003 to 2012, 229GDM cases (4.4%) were reported in 5242 pregnancies. Relative to normal BMI women, obese women at baseline (RR: 1.8, 95% CI: 1.1, 2.8) and prior to pregnancy (RR: 2.7, 95% CI: 2.0, 3.6) were at greater risk of GDM. Weight gains prior to each study pregnancy were strongly associated with increased GDM risk with an adjusted RR ranging from 2.0 to 2.9. Within under/normal range of BMI, women with a moderate/high (>2.5%/year) weight gain had 2.7 (95% CI: 1.3, 5.5) times the risk of GDM compared with women with stable weight. CONCLUSIONS Early adult weight gain, even within normal BMI range, is an important risk factor for the development of GDM. Weight gain prevention from early adulthood to prior to pregnancy appears to be the main strategy to prevent the incidence of GDM.
Collapse
Affiliation(s)
- Akilew Awoke Adane
- Centre for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Australia.
| | - Leigh R Tooth
- Centre for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Australia
| | - Gita D Mishra
- Centre for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Australia
| |
Collapse
|
14
|
Tariku A, Fekadu A, Ferede AT, Mekonnen Abebe S, Adane AA. Vitamin-A deficiency and its determinants among preschool children: a community based cross-sectional study in Ethiopia. BMC Res Notes 2016; 9:323. [PMID: 27342570 PMCID: PMC4920990 DOI: 10.1186/s13104-016-2134-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2016] [Accepted: 06/21/2016] [Indexed: 11/27/2022] Open
Abstract
Background Vitamin A deficiency is the leading cause of preventable visual impairments in children. It is also an underlying cause for nearly one-fourth of global child mortality associated with measles, diarrhea, and malaria. The limited literature available in Ethiopia shows severe public health significance of vitamin-A deficiency. Hence the aim of the current study was to assess the prevalence and factors determining vitamin-A deficiency among preschool children in Dembia District, northwest Ethiopia. Methods A community-based cross-sectional study was conducted among preschool children of Dembia District from January to February, 2015. A multi-stage sampling, followed by a systematic sampling technique was employed to select study participants. A structured interviewer-administered questionnaire was used to collect data. Using a binary logistic regression model, multivariable analysis was fitted to identify the associated factors of vitamin-A deficiency. The adjusted odds ratio (AOR) with a 95 % confidence interval was computed to assess the strength of the association, and variables with a p value of <0.05 in multivariable analysis were considered as statistically significant. Results Six hundred eighty-one preschool children were included in the study, giving a response rate of 96.5 %. The overall prevalence of xerophthalmia was 8.6 %. The result of the multivariable analysis revealed that nonattendance at the antenatal care clinic [AOR 2.65,95 % CI (1.39,5.07)], being male [AOR 1.81, 95 % CI (1.01,3.24)], and in the age group of 49–59 months [AOR 3.00, 95 % CI (1.49,6.02)] were significantly associated with vitamin-A deficiency. Conclusions Vitamin-A deficiency is a severe public health problem in the study area. Further strengthening antenatal care utilization and giving emphasis to preschool children will help to mitigate vitamin-A deficiency in the study area.
Collapse
Affiliation(s)
- Amare Tariku
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia.
| | - Abel Fekadu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia
| | - Ayanaw Tsega Ferede
- Department of Optometry, School of Medicine, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia
| | - Solomon Mekonnen Abebe
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, The University of Gondar, Gondar, Ethiopia
| |
Collapse
|
15
|
Abstract
CONTEXT The effect of diabetes during pregnancy on the cognitive development of offspring is unclear because of inconsistent findings from limited studies. OBJECTIVE This review was aimed to provide the best available scientific evidence on the associations between maternal pregnancy diabetes and the cognitive development of offspring. DATA SOURCES A search was conducted in the Embase, CINAHL, PubMed, PsycINFO, and Scopus databases. STUDY SELECTION Studies addressing the cognitive development of offspring (aged ≤12 years) as outcome and any diabetes in pregnancy as an exposure were included. DATA EXTRACTION Data were extracted and evaluated for quality by 2 independent reviewers. RESULTS Fourteen articles were eligible for the review. Ten studies investigated the associations between maternal pregestational diabetes or both pregestational and gestational diabetes and offspring's cognitive development; 6 studies found at least 1 negative association. Four studies exclusively examined the relationships between gestational diabetes and offspring's cognitive development; 2 studies found a negative association, 1 a positive association, and 1 a null association. The use of diverse cognitive and diabetes assessment tools/criteria, as well as statistical power, contributed to the inconsistent findings. LIMITATIONS The English-language restriction and publication bias in the included studies are potential limitations. CONCLUSIONS Although there are few data available regarding the associations between maternal pregnancy diabetes and offspring's cognitive development, this review found that maternal diabetes during pregnancy seems to be negatively associated with offspring's cognitive development. Large prospective studies that address potential confounders are needed to confirm the independent effect of maternal diabetes during pregnancy.
Collapse
Affiliation(s)
- Akilew Awoke Adane
- Centre for Longitudinal and Life Course Research, School of Public Health, the University of Queensland, Australia
| | - Gita D Mishra
- Centre for Longitudinal and Life Course Research, School of Public Health, the University of Queensland, Australia
| | - Leigh R Tooth
- Centre for Longitudinal and Life Course Research, School of Public Health, the University of Queensland, Australia
| |
Collapse
|
16
|
Tariku A, Woldie H, Fekadu A, Adane AA, Ferede AT, Yitayew S. Nearly half of preschool children are stunted in Dembia district, Northwest Ethiopia: a community based cross-sectional study. ACTA ACUST UNITED AC 2016; 74:13. [PMID: 27092252 PMCID: PMC4834824 DOI: 10.1186/s13690-016-0126-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 02/16/2016] [Indexed: 01/01/2023]
Abstract
Background Stunting has been the most pressing public health problem throughout the developing countries. It is the major causes of child mortality and global disease burden, where 80 % of this burden is found in developing countries. In the future, stunting alone would result in 22 % of loss in adult income. About 40 % of children under five-years were stunted in Ethiopia. In the country, about 28 % of child mortality is related to undernutrition. Thus, the aim of this study was to determine the prevalence and determinants of stunting among preschool children in Dembia district, Northwest Ethiopia. Methods A community based cross–sectional study was carried out in Dembia district, Northwest Ethiopia from January 01 to February 29, 2015. A multi-stage sampling followed by a systematic sampling technique was employed to reach 681 mother-child pairs. A pretested and structured questionnaire was used to collect data. After exporting anthropometric data to ENA/SMART software version 2012, nutritional status (stunting) of a child was determined using the WHO Multicenter Growth Reference Standard. In binary logistic regression, a multivariable analysis was carried out to identify determinants of stunting. The Adjusted Odds Ratio (AOR) with a 95 % confidence interval was computed to assess the strength of the association, and variables with a P-value of <0.05 in multivariable analysis were considered as statistically significant. Results A total 681 of mother-child pairs were included in the study. The overall prevalence of stunting was 46 % [95 % CI: 38.7, 53.3 %]. In multivariable analysis, the odds of stunting was higher among children whose families had no latrine [AOR = 1.6, 95 % CI: 1.1, 2.2)]. Likewise, children living in household with more than four family size [AOR =1.4, 95 % CI: 1.1, 1.9)] were more likely to be stunted. Conclusions This study confirms that stunting is a very high public health problem in Dembia district. The family size and latrine availability were significantly associated with stunting. Hence, emphasis should be given to improve the latrine coverage and utilization of family planning in the district.
Collapse
Affiliation(s)
- Amare Tariku
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Haile Woldie
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abel Fekadu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Ayanaw Tsega Ferede
- Department of Optometry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Segenet Yitayew
- North Gondar Zonal Health Department, Planing, Monitoring, and Evaluation Officer, Amhara, Ethiopia
| |
Collapse
|
17
|
Helelo TP, Gelaw YA, Adane AA. Prevalence and associated factors of hypertension among adults in Durame Town, Southern Ethiopia. PLoS One 2014; 9:e112790. [PMID: 25415321 PMCID: PMC4240541 DOI: 10.1371/journal.pone.0112790] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Accepted: 10/20/2014] [Indexed: 11/21/2022] Open
Abstract
Background To date, non-communicable diseases, such as cardiovascular diseases, are becoming severe public health challenges particularly in developing countries. Hypertension is a modifiable risk factor that contributes the leading role for mortality. The problem is significant in low- and middle-income countries like sub-Saharan Africa. However, there are limited studies in developing countries, particularly in Ethiopia. Hence, determining the magnitude of hypertension and identifying risk groups are important. Methods A community based cross sectional study was conducted in April 2013 among adults (age>31 years) old. A systematic sampling technique was used to select a total of 518 study participants. Data were collected after full verbal informed consent was obtained from each participant. Multivariable logistic regressions were fitted to control the effect of confounding. Adjusted Odds ratios (OR) with their 95% confidence intervals (95% CI) were calculated to measure associations. Variables having P-value <0.05 were considered as significant. Results The overall prevalence of hypertension in Durame town was 22.4% (95% CI: 18.8–26.0). Nearly 40% of hypertensive patients were newly screened. Male sex [AOR = 2.03, 95% CI; 1.05–3.93], age [AOR = 29.49, 95% CI; 10.60–81.27], salt use [AOR = 6.55, 95% CI; 2.31–18.53], eating vegetable three or fewer days per week [AOR = 2.3,95% CI; 1.17–4.51], not continuously walking at least for 10 minutes per day [AOR = 7.82, 95% CI; 2.37–25.82], having family history of hypertension [AOR = 2.46, 95%CI; 1.31–4.61] and being overweight/obese [AOR = 15.7, 95% CI 7.89–31.21)] were found to be risk factors for hypertension. Conclusions The prevalence of hypertension is found to be high. Older age, male sex, having family history of hypertension, physical inactivity, poor vegetable diet, additional salt consumption and obesity were important risk factors associated with hypertension among adults. Community level intervention measures with a particular emphasis on prevention by introducing lifestyle modifications are recommended.
Collapse
Affiliation(s)
- Tsegab Paulose Helelo
- Zonal Health Department, Southern Nations Nationalities and People's Health Bureau, Durame, Ethiopia
- * E-mail:
| | - Yalemzewod Assefa Gelaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
18
|
Endale W, Mengesha ZB, Atinafu A, Adane AA. Food insecurity in Farta District, Northwest Ethiopia: a community based cross-sectional study. BMC Res Notes 2014; 7:130. [PMID: 24606757 PMCID: PMC3975303 DOI: 10.1186/1756-0500-7-130] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 03/03/2014] [Indexed: 12/04/2022] Open
Abstract
Background Access to sufficient food is essential for household welfare as well as for accomplishing other development activities. Households with insufficient access to food often face other challenges related to food insecurity including poor health and a decline in productivity. These challenges can often create a vicious circle whereby households are unable to produce enough food even during a good crop season. Thus, this study aimed to determine the magnitude of food insecurity and its determinants in rural households of Farta District, Northwest Ethiopia. Methods A community based cross-sectional study was conducted from September to October 2012. Household heads were recruited using a multistage random sampling technique. Data were collected by face-to-face interviews using the Household Food Insecurity Access Scale (HFIAS) tool after verbal informed consent. Data were entered to Epi info 2002 and exported to SPSS version 16 for analysis. Multiple logistic regressions were fitted and odds ratios with 95% confidence intervals were calculated to identify associated factors and control confounding effect. Results A total of 836 households were included in this study. Nearly three quarters of the households (70.7%) had food insecurity. Households headed by females (AOR = 3.18, 95% CI:1.08, 15.21), lack of education (AOR = 2.59, 95% CI: 1.46, 4.60), family size of 4-7 (AOR = 2.39, 95% CI: 1.21,4.70), family size of >7 (AOR = 13.23,95% CI:6.18, 28.32), few or absence of livestock (AOR = 5.60, 95% CI:1.28, 24.43), absence of income from off-farm activities (AOR = 3.12, 95% CI:1.53, 6.36), lack of irrigation (AOR = 3.54, 95% CI:2.14, 5.18) and lack of perennial income (AOR = 3.15, 95% CI:1.88, 5.27) were factors associated with food insecurity. Conclusions This study revealed that most households of the district were food insecure. Hence, the promotion of contraceptive use, off-farm employment activities and the development of small scale irrigation are important recommendations to reduce food insecurity.
Collapse
Affiliation(s)
| | | | | | - Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| |
Collapse
|
19
|
Adane AA, Ayele TA, Ararsa LG, Bitew BD, Zeleke BM. Adverse birth outcomes among deliveries at Gondar University Hospital, Northwest Ethiopia. BMC Pregnancy Childbirth 2014; 14:90. [PMID: 24576205 PMCID: PMC3996071 DOI: 10.1186/1471-2393-14-90] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2013] [Accepted: 02/17/2014] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Adverse birth outcomes are major public health problems in developing countries. Data, though scarce in developing countries including Ethiopia, on adverse birth outcomes and the risk factors are important for planning maternal and child health care services. Hence, this study aimed to determine the prevalence and associated factors of adverse birth outcomes among deliveries at Gondar University Hospital, Northwest Ethiopia. METHODS Institution based cross-sectional study was conducted in February 2013 at Gondar University Hospital. Data were collected by face-to-face interview of 490 women after verbal informed consent using a pretested and structured questionnaire. Gestational age was determined based on the last normal menstrual period. Birth weight was measured following standards. Multiple logistic regressions were fitted and odds ratios with their 95% confidence interval were computed to identify associated factors. RESULTS The mean age of women was 26.2 (±5.2 SD) years. HIV infection among laboring women was 4.8%. About 23% of women had adverse birth outcomes (14.3% preterm, 11.2% low birth weight and 7.1% still births). Women having history of either preterm delivery or small baby (AOR: 3.1, 95% CI 1.1- 8.4) were more likely to have preterm births. Similarly, history of delivering preterm or small baby (AOR: 8.4, 95% CI 2.4- 29.4), preterm birth (AOR: 5.5, 95% CI 2.6- 11.6) and hypertension (AOR: 5.8, 95% CI 1.8- 19.6) were associated factors with low birth weight. Ante partum haemorrhage (AOR: 8.43, 95% CI 1.28- 55.34), hypertension (AOR: 9.5, 95% CI 2.1-44.3), history of perinatal death (AOR: 13.9, 95% CI 3.3- 58.5) and lack of antenatal care follow up (AOR: 9.7, 95% CI 2.7 - 35.8) were significantly associated with still birth. CONCLUSIONS Prevalence of adverse birth outcomes (still birth, preterm birth and low birth weight) were high and still a major public health problem in the area. Histories of perinatal death, delivering preterm or small baby, ante partum hemorrhage, lack of ante natal care follow up and hypertension were associated factors with adverse birth outcomes. Thus, further enhancements of ante natal and maternal care and early screening for hypertension are recommended.
Collapse
Affiliation(s)
- Akilew Awoke Adane
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tadesse Awoke Ayele
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Leta Gedefaw Ararsa
- Department of Gynecology & Obstetrics, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bikes Destaw Bitew
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Berihun Megabiaw Zeleke
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
20
|
Adane AA, Alene KA, Koye DN, Zeleke BM. Non-adherence to anti-tuberculosis treatment and determinant factors among patients with tuberculosis in northwest Ethiopia. PLoS One 2013; 8:e78791. [PMID: 24244364 PMCID: PMC3823971 DOI: 10.1371/journal.pone.0078791] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Accepted: 09/21/2013] [Indexed: 11/18/2022] Open
Abstract
Background Non-adherence to anti tuberculosis treatment is one of the crucial challenges in improving tuberculosis cure-rates and reducing further healthcare costs. The poor adherence to anti-tuberculosis treatment among patients with tuberculosis is a major problem in Ethiopia. Hence, this study assessed level of non-adherence to anti-tuberculosis therapy and associated factors among patients with tuberculosis in northwest Ethiopia. Methods An institution based cross-sectional survey was conducted among tuberculosis patients who were following anti-tuberculosis treatment in North Gondar zone from February 20 – March 30, 2013. Data were collected by trained data collectors using a structured and pre-tested questionnaire. Data were entered to EPI INFO version 3.5.3 and analyzed using statistical package for social sciences (SPSS) version 20. Multiple logistic regressions were fitted to identify associations and to control potential confounding variables. Odds ratio (OR) with 95% confidence interval was calculated and p-values<0.05 were considered statistically significant. Results A total of 280 tuberculosis patients were interviewed; 55.7% were males and nearly three quarters (72.5%) were urban dwellers. The overall non-adherence for the last one month and the last four days before the survey were 10% and 13.6% respectively. Non-adherence was high if the patients had forgetfulness (AOR 7.04, 95% CI 1.40–35.13), is on the continuation phase of chemotherapy (AOR: 6.95, 95% CI 1.81–26.73), had symptoms of tuberculosis during the interview (AOR: 4.29, 95% CI 1.53–12.03), and had co-infection with HIV (AOR: 4.06, 95% CI 1.70–9.70). Conclusions Non-adherence to anti-tuberculosis treatment was high. Forgetfulness, being in the continuation phases of chemotherapy, having symptoms of tuberculosis during the interview, and co-infected with HIV were significantly associated with non-adherence to anti-tuberculosis therapy. Special attention on adherence counseling should be given to symptomatic patients, TB/HIV co-infected patients, and those in the continuation phase of the tuberculosis therapy.
Collapse
Affiliation(s)
- Akilew Awoke Adane
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- * E-mail:
| | - Kefyalew Addis Alene
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Digsu Negese Koye
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Berihun Megabiaw Zeleke
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
21
|
Zeleke BM, Ayele TA, Woldetsadik MA, Bisetegn TA, Adane AA. Depression among women with obstetric fistula, and pelvic organ prolapse in northwest Ethiopia. BMC Psychiatry 2013; 13:236. [PMID: 24070342 PMCID: PMC3849390 DOI: 10.1186/1471-244x-13-236] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2013] [Accepted: 09/24/2013] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The prevalence of depression is not well studied among women with pelvic floor disorders. Hence, this study aimed to determine the prevalence of depression and its associated factors among women with pelvic floor disorders. METHODS A cross-sectional study was conducted among 306 women with one or more of the advanced pelvic floor disorders who attended at the gynaecologic outpatient clinic of Gondar university referral hospital in the six months data collection period. Women who complained of urinary or faecal incontinence or protruding mass per vagina were assessed and staged accordingly. Eligible women i.e. those with advanced pelvic organ prolapse or obstetric fistula were included consecutively. A structured questionnaire was used to obtain socio-demographic data and medical histories for all consenting women. Interviews were done by a female midwife nurse. Depression measures were obtained using the Beck's Depression Inventory (BDI) tool administered by the midwife nurse after intensive training. Data were entered into a computer using Epi Info version 3. 5.3, and then exported to SPSS version 20 for analysis. Multiple logistic regressions were fitted and Odds ratios with 95% confidence intervals were calculated to identify associated factors. RESULTS Of the 306 women interviewed, 269 had advanced pelvic organ prolapse (stages 3 and 4), 37 had obstetric fistula. All four women (100%) with both faecal and urinary incontinence, 97.0% those with urinary incontinence due to obstetric fistula and 67.7% of those with advanced pelvic organ prolapse (stages 3 and 4) had symptoms of depression. Depression was significantly associated with age 50 years or older (P < 0.01), marital status (P < 0.05), history of divorce (p < 0.01), self perception of severe problem (P < 0.05), and having stage 3 pelvic organ prolapse (P < 0.01). CONCLUSION Women with advanced pelvic organ prolapse, and obstetric fistula had high prevalence of depressive symptoms. A holistic management approach, including mental health care is recommended for women having such severe forms of pelvic floor disorders.
Collapse
Affiliation(s)
- Berihun Megabiaw Zeleke
- Epidemiology and Biostatistics department, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Tadesse Awoke Ayele
- Epidemiology and Biostatistics department, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mulatu Adefris Woldetsadik
- Department of Gynaecology and Obstetrics, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Telake Azale Bisetegn
- Department of Reproductive Health and Health Education, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akilew Awoke Adane
- Epidemiology and Biostatistics department, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|