Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
- Kinyoki, Damaris, Osgood-Zimmerman, Aaron, Bhattacharjee, Natalia, Schaeffer, Lauren, Lazzar-Atwood, Alice, Lu, Dan, Ewald, Samuel, Donkers, Katie, Letourneau, Ian, Collison, Michael, Schipp, Megan, Abajobir, Amanuel, Abbasi, Sima, Abbasi, Nooshin, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abd-Elsalam, Sherief, Abdoli, Amir, Abdollahpour, Ibrahim, Abedi, Aidin, Abolhassani, Hassan, Abraham, Biju, Abreu, Lucas, Abrigo, Michael, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Rahman, Muhammad Aziz
- Authors: Kinyoki, Damaris , Osgood-Zimmerman, Aaron , Bhattacharjee, Natalia , Schaeffer, Lauren , Lazzar-Atwood, Alice , Lu, Dan , Ewald, Samuel , Donkers, Katie , Letourneau, Ian , Collison, Michael , Schipp, Megan , Abajobir, Amanuel , Abbasi, Sima , Abbasi, Nooshin , Abbasifard, Mitra , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Allah, Foad , Abdelalim, Ahmed , Abd-Elsalam, Sherief , Abdoli, Amir , Abdollahpour, Ibrahim , Abedi, Aidin , Abolhassani, Hassan , Abraham, Biju , Abreu, Lucas , Abrigo, Michael , Abualhasan, Ahmed , Abu-Gharbieh, Eman , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 27, no. 10 (2021), p. 1761-1782
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- Description: Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Kinyoki, Damaris , Osgood-Zimmerman, Aaron , Bhattacharjee, Natalia , Schaeffer, Lauren , Lazzar-Atwood, Alice , Lu, Dan , Ewald, Samuel , Donkers, Katie , Letourneau, Ian , Collison, Michael , Schipp, Megan , Abajobir, Amanuel , Abbasi, Sima , Abbasi, Nooshin , Abbasifard, Mitra , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Allah, Foad , Abdelalim, Ahmed , Abd-Elsalam, Sherief , Abdoli, Amir , Abdollahpour, Ibrahim , Abedi, Aidin , Abolhassani, Hassan , Abraham, Biju , Abreu, Lucas , Abrigo, Michael , Abualhasan, Ahmed , Abu-Gharbieh, Eman , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Nature Medicine Vol. 27, no. 10 (2021), p. 1761-1782
- Full Text:
- Reviewed:
- Description: Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019 a systematic analysis for the global burden of disease study 2019
- Kocarnik, Jonathan, Compton, Kelly, Dean, Fean, Fu, Weijia, Gaw, Brian, Harvey, James, Henrikson, Hannah, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief, Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac, Adnani, Qorinath, Advani, Shailesh, Afzal, Muhammad, Aghaali, Mohammad, Ahinkorah, Bright, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Rahman, Muhammad Aziz
- Authors: Kocarnik, Jonathan , Compton, Kelly , Dean, Fean , Fu, Weijia , Gaw, Brian , Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa , Xu, Rixing , Ababneh, Emad , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Elsalam, Sherief , Abdoli, Amir , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac , Adnani, Qorinath , Advani, Shailesh , Afzal, Muhammad , Aghaali, Mohammad , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Ali , Ahmadi, Sepideh , Ahmed Rashid, Tarik , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: JAMA Oncology Vol. 8, no. 3 (2022), p. 420-444
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- Description: IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world. © 2022 American Medical Association. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Authors: Kocarnik, Jonathan , Compton, Kelly , Dean, Fean , Fu, Weijia , Gaw, Brian , Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa , Xu, Rixing , Ababneh, Emad , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Elsalam, Sherief , Abdoli, Amir , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac , Adnani, Qorinath , Advani, Shailesh , Afzal, Muhammad , Aghaali, Mohammad , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Ali , Ahmadi, Sepideh , Ahmed Rashid, Tarik , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: JAMA Oncology Vol. 8, no. 3 (2022), p. 420-444
- Full Text:
- Reviewed:
- Description: IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world. © 2022 American Medical Association. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
Diabetes mortality and trends before 25 years of age : an analysis of the global burden of disease study 2019
- Cousin, Ewerton, Duncan, Bruce, Stein, Caroline, Ong, Kanyin, Vos, Theo, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoli, Amir, Abd-Rabu, Rami, Abolhassani, Hassan, Abu-Gharbieh, Eman, Accrombessi, Manfred, Adnani, Qorinah, Afzal, Muhammad, Agarwal, Gina, Agrawaal, Krishna, Agudelo-Botero, Marcela, Ahinkorah, Bright, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmadi, Ali, Ahmed, Ali, Ahmed Salih, Yusra, Akande-Sholabi, Wuraola, Akram, Tayyaba, Al Hamad, Hanadi, Al-Aly, Ziyad, Rahman, Muhammad Aziz
- Authors: Cousin, Ewerton , Duncan, Bruce , Stein, Caroline , Ong, Kanyin , Vos, Theo , Abbafati, Cristiana , Abbasi-Kangevari, Mohsen , Abdelmasseh, Michael , Abdoli, Amir , Abd-Rabu, Rami , Abolhassani, Hassan , Abu-Gharbieh, Eman , Accrombessi, Manfred , Adnani, Qorinah , Afzal, Muhammad , Agarwal, Gina , Agrawaal, Krishna , Agudelo-Botero, Marcela , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Keivan , Ahmadi, Sepideh , Ahmadi, Ali , Ahmed, Ali , Ahmed Salih, Yusra , Akande-Sholabi, Wuraola , Akram, Tayyaba , Al Hamad, Hanadi , Al-Aly, Ziyad , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Diabetes and Endocrinology Vol. 10, no. 3 (2022), p. 177-192
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- Reviewed:
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0%. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (
- Authors: Cousin, Ewerton , Duncan, Bruce , Stein, Caroline , Ong, Kanyin , Vos, Theo , Abbafati, Cristiana , Abbasi-Kangevari, Mohsen , Abdelmasseh, Michael , Abdoli, Amir , Abd-Rabu, Rami , Abolhassani, Hassan , Abu-Gharbieh, Eman , Accrombessi, Manfred , Adnani, Qorinah , Afzal, Muhammad , Agarwal, Gina , Agrawaal, Krishna , Agudelo-Botero, Marcela , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Keivan , Ahmadi, Sepideh , Ahmadi, Ali , Ahmed, Ali , Ahmed Salih, Yusra , Akande-Sholabi, Wuraola , Akram, Tayyaba , Al Hamad, Hanadi , Al-Aly, Ziyad , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Diabetes and Endocrinology Vol. 10, no. 3 (2022), p. 177-192
- Full Text:
- Reviewed:
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0%. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (
Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019
- Momtazmanesh, Sara, Moghaddam, Sahar, Ghamari, Seyyed-Hadi, Rad, Elaheh, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar, Md Abdullah, Abu, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane, Denberu, Adane, Tigist, Addo, Isaac, Adnan, Mohammad, Adnani, Qorinah, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik, Al Hamad, Hanadi, Alahdab, Fares, Ur Rahman, Mohammad Hifz, oh, oi, oj, ok;, Rahman, Mosiur, Rahman, Muhammad Aziz
- Authors: Momtazmanesh, Sara , Moghaddam, Sahar , Ghamari, Seyyed-Hadi , Rad, Elaheh , Rezaei, Negar , Shobeiri, Parnian , Aali, Amirali , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abdelmasseh, Michael , Abdoun, Meriem , Abdulah, Deldar , Md Abdullah, Abu , Abedi, Aidin , Abolhassani, Hassan , Abrehdari-Tafreshi, Zahra , Achappa, Basavaprabhu , Adane, Denberu , Adane, Tigist , Addo, Isaac , Adnan, Mohammad , Adnani, Qorinah , Ahmad, Sajjad , Ahmadi, Ali , Ahmadi, Keivan , Ahmed, Ali , Ahmed, Ayman , Rashid, Tarik , Al Hamad, Hanadi , Alahdab, Fares , Ur Rahman, Mohammad Hifz , oh, oi, oj, ok; , Rahman, Mosiur , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 59, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries. Funding: Bill & Melinda Gates Foundation. © 2023 The Authors
- Authors: Momtazmanesh, Sara , Moghaddam, Sahar , Ghamari, Seyyed-Hadi , Rad, Elaheh , Rezaei, Negar , Shobeiri, Parnian , Aali, Amirali , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abdelmasseh, Michael , Abdoun, Meriem , Abdulah, Deldar , Md Abdullah, Abu , Abedi, Aidin , Abolhassani, Hassan , Abrehdari-Tafreshi, Zahra , Achappa, Basavaprabhu , Adane, Denberu , Adane, Tigist , Addo, Isaac , Adnan, Mohammad , Adnani, Qorinah , Ahmad, Sajjad , Ahmadi, Ali , Ahmadi, Keivan , Ahmed, Ali , Ahmed, Ayman , Rashid, Tarik , Al Hamad, Hanadi , Alahdab, Fares , Ur Rahman, Mohammad Hifz , oh, oi, oj, ok; , Rahman, Mosiur , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 59, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries. Funding: Bill & Melinda Gates Foundation. © 2023 The Authors
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
- Ong, Kanyin, Stafford, Lauryn, McLaughlin, Susan, Boyko, Edward, Vollset, Stein, Smith, Amanda, Dalton, Bronte, Duprey, Joe, Cruz, Jessica, Hagins, Hailey, Lindstedt, Paulina, Aali, Amirali, Abate, Yohannes, Abate, Melew, Abbasian, Mohammadreza, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, ElHafeez, Samar, Abd-Rabu, Rami, Abdulah, Deldar, Abdullah, Abu, Abedi, Vida, Abidi, Hassan, Aboagye, Richard, Abolhassani, Hassan, Abu-Gharbieh, Eshetie, Abu-Zaid, Ahmed, Adane, Tigist, Adane, Denberu, Rahman, Muhammad Aziz
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019
- Wu, Dongze, Jin, Yingzhao, Xing, Yuhan, Abate, Melsew, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Allah, Foad, Abdelmasseh, Michael, Abdollahifar, Mohammad-Amin, Abdulah, Deldar, Abedi, Aidin, Abedi, Vida, Abidi, Hassan, Aboagye, Richard, Abolhassani, Hassan, Abuabara, Katrina, Abyadeh, Morteza, Addo, Isaac, Adeniji, Kayode, Adepoju, Abiola, Adesina, Miracle, Adnani, Qorinah, Afarideh, Mohsen, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Arriagada, Constanza, Ahmad, Antonella, Rahman, Muhammad Aziz
- Authors: Wu, Dongze , Jin, Yingzhao , Xing, Yuhan , Abate, Melsew , Abbasian, Mohammadreza , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Allah, Foad , Abdelmasseh, Michael , Abdollahifar, Mohammad-Amin , Abdulah, Deldar , Abedi, Aidin , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abuabara, Katrina , Abyadeh, Morteza , Addo, Isaac , Adeniji, Kayode , Adepoju, Abiola , Adesina, Miracle , Adnani, Qorinah , Afarideh, Mohsen , Aghamiri, Shahin , Agodi, Antonella , Agrawal, Anurag , Arriagada, Constanza , Ahmad, Antonella , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 64, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of
- Authors: Wu, Dongze , Jin, Yingzhao , Xing, Yuhan , Abate, Melsew , Abbasian, Mohammadreza , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Allah, Foad , Abdelmasseh, Michael , Abdollahifar, Mohammad-Amin , Abdulah, Deldar , Abedi, Aidin , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abuabara, Katrina , Abyadeh, Morteza , Addo, Isaac , Adeniji, Kayode , Adepoju, Abiola , Adesina, Miracle , Adnani, Qorinah , Afarideh, Mohsen , Aghamiri, Shahin , Agodi, Antonella , Agrawal, Anurag , Arriagada, Constanza , Ahmad, Antonella , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 64, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of
Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18 : a geospatial modelling study
- Frostad, Joseph, Nguyen, QuynhAnh, Baumann, Mathew, Blacker, Brigette, Marczak, Laurie, Deshpande, Aniruddha, Wiens, Kirsten, LeGrand, Kate, Johnson, Kimberly, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abolhassani, Hassan, Abreu, Lucas, Abrigo, Michael, Abu-Rmeileh, Niveen, Adekanmbi, Victor, Agrawal, Anurag, Ahmed, Muktar, Al-Aly, Ziyad, Alanezi, Fahad, Alcalde-Rabanal, Jacqueline, Alipour, Vahid, Altirkawi, Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson, Amegah, Adeladza, Amini, Saeed, Amiri, Fatemeh, Amugsi, Dickson, Rahman, Muhammad Aziz
- Authors: Frostad, Joseph , Nguyen, QuynhAnh , Baumann, Mathew , Blacker, Brigette , Marczak, Laurie , Deshpande, Aniruddha , Wiens, Kirsten , LeGrand, Kate , Johnson, Kimberly , Abbasi-Kangevari, Mohsen , Abdoli, Amir , Abolhassani, Hassan , Abreu, Lucas , Abrigo, Michael , Abu-Rmeileh, Niveen , Adekanmbi, Victor , Agrawal, Anurag , Ahmed, Muktar , Al-Aly, Ziyad , Alanezi, Fahad , Alcalde-Rabanal, Jacqueline , Alipour, Vahid , Altirkawi, Khalid , Alvis-Guzman, Nelson , Alvis-Zakzuk, Nelson , Amegah, Adeladza , Amini, Saeed , Amiri, Fatemeh , Amugsi, Dickson , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Global Health Vol. 10, no. 10 (2022), p. e1395-e1411
- Full Text:
- Reviewed:
- Description: Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Frostad, Joseph , Nguyen, QuynhAnh , Baumann, Mathew , Blacker, Brigette , Marczak, Laurie , Deshpande, Aniruddha , Wiens, Kirsten , LeGrand, Kate , Johnson, Kimberly , Abbasi-Kangevari, Mohsen , Abdoli, Amir , Abolhassani, Hassan , Abreu, Lucas , Abrigo, Michael , Abu-Rmeileh, Niveen , Adekanmbi, Victor , Agrawal, Anurag , Ahmed, Muktar , Al-Aly, Ziyad , Alanezi, Fahad , Alcalde-Rabanal, Jacqueline , Alipour, Vahid , Altirkawi, Khalid , Alvis-Guzman, Nelson , Alvis-Zakzuk, Nelson , Amegah, Adeladza , Amini, Saeed , Amiri, Fatemeh , Amugsi, Dickson , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Global Health Vol. 10, no. 10 (2022), p. e1395-e1411
- Full Text:
- Reviewed:
- Description: Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
The global burden of cancer attributable to risk factors, 2010–19 : a systematic analysis for the Global Burden of Disease Study 2019
- Tran, Khanh, Lang, Justin, Compton, Kelly, Xu, Rixing, Acheson, Alistair, Henrikson, Hannah, Kocarnik, Jonathan, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdoli, Gholamreza, Abdulkadir, Hanan, Abedi, Aidin, Abegaz, Kedir, Abidi, Aidin, Aboagye, Richard, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas, Ali, Hiwa, Abu-Gharbieh, Eman, Nguyen, Huy, Rahman, Muhammad Aziz
- Authors: Tran, Khanh , Lang, Justin , Compton, Kelly , Xu, Rixing , Acheson, Alistair , Henrikson, Hannah , Kocarnik, Jonathan , Penberthy, Louise , Aali, Amirali , Abbas, Qamar , Abbasi, Behzad , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abbastabar, Hedayat , Abdelmasseh, Michael , Abd-Elsalam, Sherief , Abdelwahab, Ahmed , Abdoli, Gholamreza , Abdulkadir, Hanan , Abedi, Aidin , Abegaz, Kedir , Abidi, Aidin , Aboagye, Richard , Abolhassani, Hassan , Absalan, Abdorrahim , Abtew, Yonas , Ali, Hiwa , Abu-Gharbieh, Eman , Nguyen, Huy , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Vol. 400, no. 10352 (2022), p. 563-591
- Full Text:
- Reviewed:
- Description: Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Muhammad Aziz Rahman and Huy Nguyen” are provided in this record**
- Authors: Tran, Khanh , Lang, Justin , Compton, Kelly , Xu, Rixing , Acheson, Alistair , Henrikson, Hannah , Kocarnik, Jonathan , Penberthy, Louise , Aali, Amirali , Abbas, Qamar , Abbasi, Behzad , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abbastabar, Hedayat , Abdelmasseh, Michael , Abd-Elsalam, Sherief , Abdelwahab, Ahmed , Abdoli, Gholamreza , Abdulkadir, Hanan , Abedi, Aidin , Abegaz, Kedir , Abidi, Aidin , Aboagye, Richard , Abolhassani, Hassan , Absalan, Abdorrahim , Abtew, Yonas , Ali, Hiwa , Abu-Gharbieh, Eman , Nguyen, Huy , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Vol. 400, no. 10352 (2022), p. 563-591
- Full Text:
- Reviewed:
- Description: Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Muhammad Aziz Rahman and Huy Nguyen” are provided in this record**
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