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Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Wu AM, Cross M, Elliott JM, Culbreth GT, Haile LM, Steinmetz JD, Hagins H, Kopec JA, Brooks PM, Woolf AD, Kopansky-Giles DR, Walton DM, Treleaven JM, Dreinhoefer KE, Betteridge N, Abbasifard M, Abbasi-Kangevari Z, Addo IY, Adesina MA, Adnani QES, Aithala JP, Alhalaiqa FAN, Alimohamadi Y, Amiri S, Amu H, Antony B, Arabloo J, Aravkin AY, Asghari-Jafarabadi M, Atomsa GH, Azadnajafabad S, Azzam AY, Baghdadi S, Balogun SA, Balta AB, Banach M, Banakar M, Barrow A, Bashiri A, Bekele A, Bensenor IM, Bhardwaj P, Bhat AN, Bilchut AH, Briggs AM, Buchbinder R, Cao C, Chaurasia A, Chirinos-Caceres JL, Christensen SWM, Coberly K, Cousin E, Dadras O, Dai X, de Luca K, Dehghan A, Dong HJ, Ekholuenetale M, Elhadi M, Eshetu HB, Eskandarieh S, Etaee F, Fagbamigbe AF, Fares J, Fatehizadeh A, Feizkhah A, Ferreira ML, Ferreira N, Fischer F, Franklin RC, Ganesan B, Gebremichael MA, Gerema U, Gholami A, Ghozy S, Gill TK, Golechha M, Goleij P, Golinelli D, Graham SM, Haj-Mirzaian A, Harlianto NI, Hartvigsen J, Hasanian M, Hassen MB, Hay SI, Hebert JJ, Heidari G, Hoveidaei AH, Hsiao AK, Ibitoye SE, Iwu CCD, Jacob L, Janodia MD, Jin Y, Jonas JB, Joshua CE, Kandel H, Khader YS, Khajuria H, Khan EA, Khan MAB, Khatatbeh MM, Khateri S, Khayat Kashani HR, Khonji MS, Khubchandani J, Kim YJ, Kisa A, Kolahi AA, Koohestani HR, Krishan K, Kuddus M, Kuttikkattu A, Lasrado S, Lee YH, Legesse SM, Lim SS, Liu X, Lo J, Malih N, Manandhar SP, Mathews E, Mesregah MK, Mestrovic T, Miller TR, Mirghaderi SP, Misganaw A, Mohammadi E, Mohammed S, Mokdad AH, Momtazmanesh S, Moni MA, Mostafavi E, Murray CJL, Nair TS, Nejadghaderi SA, Nzoputam OJ, Oh IH, Okonji OC, Owolabi MO, Pacheco-Barrios K, Pahlevan Fallahy MT, Park S, Patel J, Pawar S, Pedersini P, Peres MFP, Petcu IR, Pourahmadi M, Qattea I, Ram P, Rashidi MM, Rawaf S, Rezaei N, Rezaei N, Saeed U, Saheb Sharif-Askari F, Salahi S, Sawhney M, Schumacher AE, Shafie M, Shahabi S, Shahbandi A, Shamekh A, Sharma S, Shiri R, Shobeiri P, Sinaei E, Singh A, Singh JA, Singh P, Skryabina AA, Smith AE, Tabish M, Tan KK, Tegegne MD, Tharwat S, Vahabi SM, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vollset SE, Wang YP, Wiangkham T, Yonemoto N, Zangiabadian M, Zare I, Zemedikun DT, Zheng P, Ong KL, Vos T, March LM. Global, regional, and national burden of neck pain, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2024; 6:e142-e155. [PMID: 38383088 PMCID: PMC10897950 DOI: 10.1016/s2665-9913(23)00321-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 11/16/2023] [Accepted: 11/22/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Neck pain is a highly prevalent condition that leads to considerable pain, disability, and economic cost. We present the most current estimates of neck pain prevalence and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) by age, sex, and location, with forecasted prevalence to 2050. METHODS Systematic reviews identified population-representative surveys used to estimate the prevalence of and YLDs from neck pain in 204 countries and territories, spanning from 1990 to 2020, with additional data from opportunistic review. Medical claims data from Taiwan (province of China) were also included. Input data were pooled using DisMod-MR 2.1, a Bayesian meta-regression tool. Prevalence was forecast to 2050 using a mixed-effects model using Socio-demographic Index as a predictor and multiplying by projected population estimates. We present 95% UIs for every metric based on the 2·5th and 97·5th percentiles of 100 draws of the posterior distribution. FINDINGS Globally, in 2020, neck pain affected 203 million (95% uncertainty interval [UI] 163-253) people. The global age-standardised prevalence rate of neck pain was estimated to be 2450 (1960-3040) per 100 000 population and global age-standardised YLD rate was estimated to be 244 (165-346) per 100 000. The age-standardised prevalence rate remained stable between 1990 and 2020 (percentage change 0·2% [-1·3 to 1·7]). Globally, females had a higher age-standardised prevalence rate (2890 [2330-3620] per 100 000) than males (2000 [1600-2480] per 100 000), with the prevalence peaking between 45 years and 74 years in male and female sexes. By 2050, the estimated global number of neck pain cases is projected to be 269 million (219-322), with an increase of 32·5% (23·9-42·3) from 2020 to 2050. Decomposition analysis of the projections showed population growth was the primary contributing factor, followed by population ageing. INTERPRETATION Although age-standardised rates of neck pain have remained stable over the past three decades, by 2050 the projected case numbers are expected to rise. With the highest prevalence in older adults (higher in females than males), a larger effect expected in low-income and middle-income countries, and a rapidly ageing global population, neck pain continues to pose a challenge in terms of disability burden worldwide. For future planning, it is essential we improve our mechanistic understanding of the different causes and risk factors for neck pain and prioritise the consistent collection of global neck pain data and increase the number of countries with data on neck pain. FUNDING Bill & Melinda Gates Foundation and Global Alliance for Musculoskeletal Health.
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Sharma R, Abbastabar H, Abdulah DM, Abidi H, Abolhassani H, Abrehdari-Tafreshi Z, Absalan A, Ali HA, Abu-Gharbieh E, Acuna JM, Adib N, Sakilah Adnani QE, Aghaei A, Ahmad A, Ahmad S, Ahmadi A, Ahmadi S, Ahmed LA, Ajami M, Al Hamad H, Al Hasan SM, Alanezi FM, Saeed Al-Gheethi AA, Al-Hanawi MK, Ali A, Ali BA, Alimohamadi Y, Aljunid SM, Ali Al-Maweri SA, Alqahatni SA, AlQudah M, Al-Raddadi RM, Al-Tammemi AB, Ansari-Moghaddam A, Anwar SL, Anwer R, Aqeel M, Arabloo J, Arab-Zozani M, Ariffin H, Artaman A, Arulappan J, Ashraf T, Askari E, Athar M, Wahbi Atout MM, Azadnajafabad S, Badar M, Badiye AD, Baghcheghi N, Bagherieh S, Bai R, Bajbouj K, Baliga S, Bardhan M, Bashiri A, Baskaran P, Basu S, Belgaumi UI, Nazer C Bermudez A, Bhandari B, Bhardwaj N, Bhat AN, Bitaraf S, Boloor A, Hashemi MB, Butt ZA, Chadwick J, Kai Chan JS, Chattu VK, Chaturvedi P, Cho WC, Darwesh AM, Dash NR, Dehghan A, Dhali A, Dianatinasab M, Dibas M, Dixit A, Dixit SG, Dorostkar F, Dsouza HL, Elbarazi I, Elemam NM, El-Huneidi W, Elkord E, Abdou Elmeligy OA, Emamian MH, Erkhembayar R, Ezzeddini R, Fadoo Z, Faiz R, Fakhradiyev IR, Fallahzadeh A, Faris MEM, Farrokhpour H, Fatehizadeh A, Fattahi H, Fekadu G, Fukumoto T, Gaidhane AM, Galehdar N, Garg P, Ghadirian F, Ghafourifard M, Ghasemi M, Nour MG, Ghassemi F, Gholamalizadeh M, Gholamian A, Ghotbi E, Golechha M, Goleij P, Goyal S, Mohialdeen Gubari MI, Gunasekera DS, Gunawardane DA, Gupta S, Habibzadeh P, Haeri Boroojeni HS, Halboub ES, Hamadeh RR, Hamoudi R, Harorani M, Hasanian M, Hassan TS, Hay SI, Heidari M, Heidari-Foroozan M, Hessami K, Hezam K, Hiraike Y, Holla R, Hoseini M, Hossain MM, Hossain S, Hsieh VCR, Huang J, Hussein NR, Hwang BF, Iravanpour F, Ismail NE, Iwagami M, Merin J L, Jadidi-Niaragh F, Jafarinia M, Jahani MA, Jahrami H, Jaiswal A, Jakovljevic M, Jalili M, Jamshidi E, Jayarajah U, Jayaram S, Jha SS, Jokar M, Joseph N, Kabir A, Kabir MA, Kadir DH, Kakodkar PV, Kalankesh LR, Kalankesh LR, Kalhor R, Kaliyadan F, Kamal VK, Kamal Z, Kamath A, Kar SS, Karimi H, Kaur N, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khan EA, Khan MN, Khan M, Khan MA, Khan YH, Khanmohammadi S, Khatatbeh MM, Khateri S, Khayamzadeh M, Khayat Kashani HR, Kim MS, Kompani F, Koohestani HR, Koulmane Laxminarayana SL, Krishan K, Kumar N, Kumar N, Kutluk T, Kuttikkattu A, Ching Lai DT, Lal DK, Lami FH, Lasrado S, Lee SW, Lee SW, Lee YY, Lee YH, Leong E, Li MC, Liu J, Madadizadeh F, Mafi AR, Mahjoub S, Malekzadeh R, Malik AA, Malik I, Mallhi TH, Mansournia MA, Martini S, Mathews E, Mathur MR, Meena JK, Menezes RG, Mirfakhraie R, Mirinezhad SK, Mirza-Aghazadeh-Attari M, Mithra P, Mohamadkhani A, Mohammadi S, Mohammadzadeh M, Mohan S, Mokdad AH, Al Montasir A, Montazeri F, Moradi M, Sarabi MM, Moradpour F, Moradzadeh M, Moraga P, Mosapour A, Motaghinejad M, Mubarik S, Muhammad JS, Murray CJ, Nagarajan AJ, Naghavi M, Nargus S, Natto ZS, Nayak BP, Nejadghaderi SA, Nguyen PT, Niazi RK, Noroozi N, Okati-Aliabad H, Okekunle AP, Ong S, Oommen AM, Padubidri JR, Pandey A, Park EK, Park S, Pati S, Patil S, Paudel R, Paudel U, Pirestani M, Podder I, Pourali G, Pourjafar M, Pourshams A, Syed ZQ, Radhakrishnan RA, Radhakrishnan V, Rahman M, Rahmani S, Rahmanian V, Ramesh PS, Rana J, Rao IR, Rao SJ, Rashedi S, Rashidi MM, Rezaei N, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Roshandel G, Chandan S, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Saeed U, Safi SZ, Sharif-Askari FS, Sahebkar A, Sahoo H, Sajedi SA, Sajid MR, Salehi MA, Farrokhi AS, Sarasmita MA, Sargazi S, Sarode GS, Sarode SC, Sathian B, Satpathy M, Semwal P, Senthilkumaran S, Sepanlou SG, Shafeghat M, Shahabi S, Shahbandi A, Shahraki-Sanavi F, Shaikh MA, Shannawaz M, Sheikhi RA, Shobeiri P, Shorofi SA, Shrestha S, Siabani S, Singh G, Singh P, Singh S, Sinha DN, Siwal SS, Sreeram S, Suleman M, Abdulkader RS, Sultan I, Sultana A, Tabish M, Tabuchi T, Taheri M, Talaat IM, Tehrani-Banihashemi A, Temsah MH, Thangaraju P, Thomas N, Thomas NK, Tiyuri A, Tobe-Gai R, Toghroli R, Tovani-Palone MR, Ullah S, Unnikrishnan B, Upadhyay E, Tahbaz SV, Valizadeh R, Varthya SB, Waheed Y, Wang S, Wickramasinghe DP, Wickramasinghe ND, Xiao H, Yonemoto N, Younis MZ, Yu C, Zahir M, Zaki N, Zamanian M, Zhang ZJ, Zhao H, Zitoun OA, Zoladl M. Temporal patterns of cancer burden in Asia, 1990-2019: a systematic examination for the Global Burden of Disease 2019 study. Lancet Reg Health Southeast Asia 2024; 21:100333. [PMID: 38361599 PMCID: PMC10866992 DOI: 10.1016/j.lansea.2023.100333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 02/17/2024]
Abstract
Background Cancers represent a challenging public health threat in Asia. This study examines the temporal patterns of incidence, mortality, disability and risk factors of 29 cancers in Asia in the last three decades. Methods The age, sex and year-wise estimates of incidence, mortality, and disability-adjusted life years (DALYs) of 29 cancers for 49 Asian countries from 1990 through 2019 were generated as a part of the Global Burden of Disease, Injuries and Risk Factors 2019 study. Besides incidence, mortality and DALYs, we also examined the cancer burden measured in terms of DALYs and deaths attributable to risk factors, which had evidence of causation with different cancers. The development status of countries was measured using the socio-demographic index. Decomposition analysis was performed to gauge the change in cancer incidence between 1990 and 2019 due to population growth, aging and age-specific incidence rates. Findings All cancers combined claimed an estimated 5.6 million [95% uncertainty interval, 5.1-6.0 million] lives in Asia with 9.4 million [8.6-10.2 million] incident cases and 144.7 million [132.7-156.5 million] DALYs in 2019. The age-standardized incidence rate (ASIR) of all cancers combined in Asia was 197.6/100,000 [181.0-214.4] in 2019, varying from 99.2/100,000 [76.1-126.0] in Bangladesh to 330.5/100,000 [298.5-365.8] in Cyprus. The age-standardized mortality rate (ASMR) was 120.6/100,000 [110.1-130.7] in 2019, varying 4-folds across countries from 71.0/100,000 [59.9-83.5] in Kuwait to 284.2/100,000 [229.2-352.3] in Mongolia. The age-standardized DALYs rate was 2970.5/100,000 [2722.6-3206.5] in 2019, varying from 1578.0/100,000 [1341.2-1847.0] in Kuwait to 6574.4/100,000 [5141.7-8333.0] in Mongolia. Between 1990 and 2019, deaths due to 17 of the 29 cancers either doubled or more, and 20 of the 29 cancers underwent an increase of 150% or more in terms of new cases. Tracheal, bronchus, and lung cancer (both sexes), breast cancer (among females), colon and rectum cancer (both sexes), stomach cancer (both sexes) and prostate cancer (among males) were among top-5 cancers in most Asian countries in terms of ASIR and ASMR in 2019 and cancers of liver, stomach, hodgkin lymphoma and esophageal cancer posted the most significant decreases in age-standardized rates between 1990 and 2019. Among the modifiable risk factors, smoking, alcohol use, ambient particulate matter (PM) pollution and unsafe sex remained the dominant risk factors between 1990 and 2019. Cancer DALYs due to ambient PM pollution, high body mass index and fasting plasma glucose has increased most notably between 1990 and 2019. Interpretation With growing incidence, cancer has become more significant public health threat in Asia, demanding urgent policy attention and guidance. Its heightened risk calls for increased cancer awareness, preventive measures, affordable early-stage detection, and cost-effective therapeutics in Asia. The current study can serve as a useful resource for policymakers and researchers in Asia for devising interventions for cancer management and control. Funding The GBD study is funded by the Bill and Melinda Gates Foundation.
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Azami M, Moradkhani A, Afraie M, Khateri S, Sharifian E, Zamani K, Moradi Y. The risk of Parkinson's disease in diabetic people: an updated systematic review and meta-analysis. Acta Neurol Belg 2023:10.1007/s13760-023-02424-6. [PMID: 37982931 DOI: 10.1007/s13760-023-02424-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 07/23/2023] [Accepted: 10/23/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Diabetes mellitus (DM) and the risk of Parkinson's disease (PD) have been linked in previous studies. But the outcomes are still up for debate. This meta-analysis examined how DM affected the likelihood of developing PD. METHODS A comprehensive search of international databases, including Medline (PubMed), Web of Sciences, Scopus, and EMBASE until January 2023, was conducted to assess the relationship between DM and PD. Cohort and case-control studies were included. Subgroup analysis was carried out based on the duration of PD, continent, age, PD criteria, DM criteria, and effect size. RESULTS In the meta-analysis, 25 studies encompassing a total of 39,209,316 participants were incorporated. The collective estimation of the relative risk concerning the association between Diabetes Mellitus (DM) and Parkinson's Disease (PD) yielded a value of 1.22 (95% CI 1.08-1.37). Subsequent subgroup analyses unveiled a heightened risk of DM among patients in the Asian demographic, particularly those of a younger age and a longer duration of PD. The findings from our comprehensive meta-analysis underscore a potentially emerging connection between DM and PD. CONCLUSION These results showed that people with DM are more susceptible to developing other neurological diseases, such as PD, indicating that efforts are required to prevent the progression of such diseases among individuals with DM.
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Affiliation(s)
- Mobin Azami
- Student of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Asra Moradkhani
- Student of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Maryam Afraie
- Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation, School of Medicine, Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical Sciences, Hamedan, Iran
| | - Erfan Sharifian
- Student of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Kamran Zamani
- Student of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Yousef Moradi
- Social Determinants of the Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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Moberg ME, Hamilton EB, Zeng SM, Bryazka D, Zhao JT, Feldman R, Abate YH, Abbasi-Kangevari M, Abdurehman AM, Abedi A, Abu-Gharbieh E, Addo IY, Adepoju AV, Adnani QES, Afzal S, Ahinkorah BO, Ahmad S, Ahmed D, Ahmed H, Alem DT, Al-Gheethi AAS, Alimohamadi Y, Ameyaw EK, Amrollahi-Sharifabadi M, Anagaw TF, Anyasodor AE, Arabloo J, Aravkin AY, Athari SS, Atreya A, Azari Jafari A, Badiye AD, Baghcheghi N, Bagherieh S, Bansal H, Barrow A, Bashiri A, Bayileyegn NS, Berhie AY, Bhagavathula AS, Bhardwaj P, Boloor A, Cámera LA, Carvalho F, Carvalho M, Chandrasekar EK, Chang JC, Chattu VK, Chu DT, Coberly K, Cruz-Martins N, Dadras O, Dai X, Darvishi Cheshmeh Soltani R, Das S, Das S, Debela SA, Demessa BH, Deng X, Desta AA, Desye B, Dhimal M, Dibas M, Dsouza HL, Ekholuenetale M, El Sayed I, El-Huneidi W, Enyew DB, Fagbamigbe AF, Fatehizadeh A, Fatima SAF, Fischer F, Franklin RC, Garg T, Gebi TG, Gerema U, Getachew M, Getachew ME, Ghamari F, Golechha M, Goleij P, Gupta S, Gupta VB, Gupta VK, Harorani M, Hasani H, Hassan AM, Hassanian-Moghaddam H, Hassen MB, Hay SI, Hayat K, Heidari M, Heidari-Foroozan M, Heyi DZ, Holla R, Hoogar P, Hossain MS, Hosseini MS, Hostiuc S, Hoveidamanesh S, Ilesanmi OS, Ilic IM, Immurana M, Iwu CCD, Jayarajah U, Joseph N, Joshua CE, Kadashetti V, Kanchan T, Kandel H, Kantar RS, Kapoor N, Karaye IM, Katoto PDMC, Khajuria H, Khan EA, Khateri S, Khodamoradi F, Khormali M, Khubchandani J, Kim G, Kisa A, Koohestani HR, Krishan K, Kumar N, Laflamme L, Landires I, Larijani B, Lauriola P, Le TTT, Ledda C, Lee SW, Lim SS, Lobo SW, Lunevicius R, Maharaj SB, Menezes RG, Mentis AFA, Mestrovic T, Miller TR, Mirmoeeni S, Misganaw A, Mishra M, Misra S, Mittal C, Mohammadi E, Mokdad AH, Moni MA, Mostafavi E, Mubarik S, Mulita F, Mulualem JA, Mulugeta T, Murray CJL, Myers I, Nayak BP, Nayak VC, Nejadghaderi SA, Nguyen HLT, Nguyen VT, Nouraei H, Nzoputam OJ, Okati-Aliabad H, Olufadewa II, Ordak M, Padron-Monedero A, Padubidri JR, Pandey A, Pant S, Parekh U, Pawar S, Peden AE, Petcu IR, Piel FB, Piracha ZZ, Pourali G, Qattea I, Qureshi MF, Raghav PR, Rahman M, Rahmani S, Ramasubramani P, Ramazanu S, Rawaf S, Rezaei N, Rezaei N, Rezaeian M, Saddik B, Sadeghi M, Sadeghian F, Saeed U, Sahebkar A, Saif Z, Sakshaug JW, Salahi S, Salamati P, Samy AM, Sarmiento-Suárez R, Schwebel DC, Senthilkumaran S, Seylani A, Shaikh MA, Sham S, Shashamo BB, Sheikhi RA, Shetty BSK, Shetty PH, Sibhat MM, Singh H, Singh P, Sisay EA, Solomon Y, Taheri M, Ullah I, Ullah S, Violante FS, Vu LG, Wickramasinghe ND, Yigit A, Yonemoto N, Yousefi Z, Zaman M, Zastrozhin MS, Zhang ZJ, Zheng P, Zoladl M, Steinmetz JD, Vos T, Naghavi M, Ong KL. Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000-2021: results from the Global Burden of Disease Study 2021. Lancet Public Health 2023; 8:e839-e849. [PMID: 37813118 PMCID: PMC10602911 DOI: 10.1016/s2468-2667(23)00185-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Unintentional carbon monoxide poisoning is a largely preventable cause of death that has received insufficient attention. We aimed to conduct a comprehensive global analysis of the demographic, temporal, and geographical patterns of fatal unintentional carbon monoxide poisoning from 2000 to 2021. METHODS As part of the latest Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), unintentional carbon monoxide poisoning mortality was quantified using the GBD cause of death ensemble modelling strategy. Vital registration data and covariates with an epidemiological link to unintentional carbon monoxide poisoning informed the estimates of death counts and mortality rates for all locations, sexes, ages, and years included in the GBD. Years of life lost (YLLs) were estimated by multiplying deaths by remaining standard life expectancy at age of death. Population attributable fractions (PAFs) for unintentional carbon monoxide poisoning deaths due to occupational injuries and high alcohol use were estimated. FINDINGS In 2021, the global mortality rate due to unintentional carbon monoxide poisoning was 0·366 per 100 000 (95% uncertainty interval 0·276-0·415), with 28 900 deaths (21 700-32 800) and 1·18 million YLLs (0·886-1·35) across all ages. Nearly 70% of deaths occurred in males (20 100 [15 800-24 000]), and the 50-54-year age group had the largest number of deaths (2210 [1660-2590]). The highest mortality rate was in those aged 85 years or older with 1·96 deaths (1·38-2·32) per 100 000. Eastern Europe had the highest age-standardised mortality rate at 2·12 deaths (1·98-2·30) per 100 000. Globally, there was a 53·5% (46·2-63·7) decrease in the age-standardised mortality rate from 2000 to 2021, although this decline was not uniform across regions. The overall PAFs for occupational injuries and high alcohol use were 13·6% (11·9-16·0) and 3·5% (1·4-6·2), respectively. INTERPRETATION Improvements in unintentional carbon monoxide poisoning mortality rates have been inconsistent across regions and over time since 2000. Given that unintentional carbon monoxide poisoning is almost entirely preventable, policy-level interventions that lower the risk of carbon monoxide poisoning events should be prioritised, such as those that increase access to improved heating and cooking devices, reduce carbon monoxide emissions from generators, and mandate use of carbon monoxide alarms. FUNDING Bill & Melinda Gates Foundation.
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Gill TK, Mittinty MM, March LM, Steinmetz JD, Culbreth GT, Cross M, Kopec JA, Woolf AD, Haile LM, Hagins H, Ong KL, Kopansky-Giles DR, Dreinhoefer KE, Betteridge N, Abbasian M, Abbasifard M, Abedi K, Adesina MA, Aithala JP, Akbarzadeh-Khiavi M, Al Thaher Y, Alalwan TA, Alzahrani H, Amiri S, Antony B, Arabloo J, Aravkin AY, Arumugam A, Aryal KK, Athari SS, Atreya A, Baghdadi S, Bardhan M, Barrero LH, Bearne LM, Bekele AB, Bensenor IM, Bhardwaj P, Bhatti R, Bijani A, Bordianu T, Bouaoud S, Briggs AM, Cheema HA, Christensen SWM, Chukwu IS, Clarsen B, Dai X, de Luca K, Desye B, Dhimal M, Do TC, Fagbamigbe AF, Farokh Forghani S, Ferreira N, Ganesan B, Gebrehiwot M, Ghashghaee A, Graham SM, Harlianto NI, Hartvigsen J, Hasaballah AI, Hasanian M, Hassen MB, Hay SI, Heidari M, Hsiao AK, Ilic IM, Jokar M, Khajuria H, Khan MJ, Khanal P, Khateri S, Kiadaliri A, Kim MS, Kisa A, Kolahi AA, Krishan K, Krishnamoorthy V, Landires I, Larijani B, Le TTT, Lee YH, Lim SS, Lo J, Madani SP, Malagón-Rojas JN, Malik I, Marateb HR, Mathew AJ, Meretoja TJ, Mesregah MK, Mestrovic T, Mirahmadi A, Misganaw A, Mohaghegh S, Mokdad AH, Momenzadeh K, Momtazmanesh S, Monasta L, Moni MA, Moradi Y, Mostafavi E, Muhammad JS, Murray CJL, Muthu S, Nargus S, Nassereldine H, Neupane S, Niazi RK, Oh IH, Okati-Aliabad H, Oulhaj A, Pacheco-Barrios K, Park S, Patel J, Pawar S, Pedersini P, Peres MFP, Petcu IR, Petermann-Rocha FE, Poursadeqiyan M, Qattea I, Qureshi MF, Rafferty Q, Rahimi-Dehgolan S, Rahman M, Ramasamy SK, Rashedi V, Redwan EMM, Ribeiro DC, Roever L, Safary A, Sagoe D, Saheb Sharif-Askari F, Sahebkar A, Salehi S, Shafaat A, Shahabi S, Sharma S, Shashamo BB, Shiri R, Singh A, Slater H, Smith AE, Sunuwar DR, Tabish M, Tharwat S, Ullah I, Valadan Tahbaz S, Vasankari TJ, Villafañe JH, Vollset SE, Wiangkham T, Yonemoto N, You Y, Zare I, Zheng P, Vos T, Brooks PM. Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2023; 5:e670-e682. [PMID: 37927903 PMCID: PMC10620749 DOI: 10.1016/s2665-9913(23)00232-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Background Musculoskeletal disorders include more than 150 different conditions affecting joints, muscles, bones, ligaments, tendons, and the spine. To capture all health loss from death and disability due to musculoskeletal disorders, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) includes a residual musculoskeletal category for conditions other than osteoarthritis, rheumatoid arthritis, gout, low back pain, and neck pain. This category is called other musculoskeletal disorders and includes, for example, systemic lupus erythematosus and spondylopathies. We provide updated estimates of the prevalence, mortality, and disability attributable to other musculoskeletal disorders and forecasted prevalence to 2050. Methods Prevalence of other musculoskeletal disorders was estimated in 204 countries and territories from 1990 to 2020 using data from 68 sources across 23 countries from which subtraction of cases of rheumatoid arthritis, osteoarthritis, low back pain, neck pain, and gout from the total number of cases of musculoskeletal disorders was possible. Data were analysed with Bayesian meta-regression models to estimate prevalence by year, age, sex, and location. Years lived with disability (YLDs) were estimated from prevalence and disability weights. Mortality attributed to other musculoskeletal disorders was estimated using vital registration data. Prevalence was forecast to 2050 by regressing prevalence estimates from 1990 to 2020 with Socio-demographic Index as a predictor, then multiplying by population forecasts. Findings Globally, 494 million (95% uncertainty interval 431-564) people had other musculoskeletal disorders in 2020, an increase of 123·4% (116·9-129·3) in total cases from 221 million (192-253) in 1990. Cases of other musculoskeletal disorders are projected to increase by 115% (107-124) from 2020 to 2050, to an estimated 1060 million (95% UI 964-1170) prevalent cases in 2050; most regions were projected to have at least a 50% increase in cases between 2020 and 2050. The global age-standardised prevalence of other musculoskeletal disorders was 47·4% (44·9-49·4) higher in females than in males and increased with age to a peak at 65-69 years in male and female sexes. In 2020, other musculoskeletal disorders was the sixth ranked cause of YLDs globally (42·7 million [29·4-60·0]) and was associated with 83 100 deaths (73 600-91 600). Interpretation Other musculoskeletal disorders were responsible for a large number of global YLDs in 2020. Until individual conditions and risk factors are more explicitly quantified, policy responses to this burden remain a challenge. Temporal trends and geographical differences in estimates of non-fatal disease burden should not be overinterpreted as they are based on sparse, low-quality data. Funding Bill & Melinda Gates Foundation.
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Wu D, Jin Y, Xing Y, Abate MD, Abbasian M, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdelmasseh M, Abdollahifar MA, Abdulah DM, Abedi A, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abuabara K, Abyadeh M, Addo IY, Adeniji KN, Adepoju AV, Adesina MA, Sakilah Adnani QE, Afarideh M, Aghamiri S, Agodi A, Agrawal A, Aguilera Arriagada CE, Ahmad A, Ahmad D, Ahmad S, Ahmad S, Ahmadi A, Ahmed A, Ahmed A, Aithala JP, Ajadi AA, Ajami M, Akbarzadeh-Khiavi M, Alahdab F, AlBataineh MT, Alemi S, Saeed Al-Gheethi AA, Ali L, Alif SM, Almazan JU, Almustanyir S, Alqahtani JS, Alqasmi I, Khan Altaf IU, Alvis-Guzman N, Alvis-Zakzuk NJ, Al-Worafi YM, Aly H, Amani R, Amu H, Amusa GA, Andrei CL, Ansar A, Ansariniya H, Anyasodor AE, Arabloo J, Arefnezhad R, Arulappan J, Asghari-Jafarabadi M, Ashraf T, Atata JA, Athari SS, Atlaw D, Wahbi Atout MM, Aujayeb A, Awan AT, Ayatollahi H, Azadnajafabad S, Azzam AY, Badawi A, Badiye AD, Bagherieh S, Baig AA, Bantie BB, Barchitta M, Bardhan M, Barker-Collo SL, Barone-Adesi F, Batra K, Bayileyegn NS, Behnoush AH, Belgaumi UI, Bemanalizadeh M, Bensenor IM, Beyene KA, Bhagavathula AS, Bhardwaj P, Bhaskar S, Bhat AN, Bitaraf S, Bitra VR, Boloor A, Bora K, Botelho JS, Buchbinder R, Calina D, Cámera LA, Carvalho AF, Kai Chan JS, Chattu VK, Abebe EC, Chichagi F, Choi S, Chou TC, Chu DT, Coberly K, Costa VM, Couto RA, Cruz-Martins N, Dadras O, Dai X, Damiani G, Dascalu AM, Dashti M, Debela SA, Dellavalle RP, Demetriades AK, Demlash AA, Deng X, Desai HD, Desai R, Rahman Dewan SM, Dey S, Dharmaratne SD, Diaz D, Dibas M, Dinis-Oliveira RJ, Diress M, Do TC, Doan DK, Dodangeh M, Dodangeh M, Dongarwar D, Dube J, Dziedzic AM, Ed-Dra A, Edinur HA, Eissazade N, Ekholuenetale M, Ekundayo TC, Elemam NM, Elhadi M, Elmehrath AO, Abdou Elmeligy OA, Emamverdi M, Emeto TI, Esayas HL, Eshetu HB, Etaee F, Fagbamigbe AF, Faghani S, Fakhradiyev IR, Fatehizadeh A, Fathi M, Feizkhah A, Fekadu G, Fereidouni M, Fereshtehnejad SM, Fernandes JC, Ferrara P, Fetensa G, Filip I, Fischer F, Foroutan B, Foroutan M, Fukumoto T, Ganesan B, Belete Gemeda BN, Ghamari SH, Ghasemi M, Gholamalizadeh M, Gill TK, Gillum RF, Goldust M, Golechha M, Goleij P, Golinelli D, Goudarzi H, Guan SY, Guo Y, Gupta B, Gupta VB, Gupta VK, Haddadi R, Hadi NR, Halwani R, Haque S, Hasan I, Hashempour R, Hassan A, Hassan TS, Hassanzadeh S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Heidari-Soureshjani R, Herteliu C, Hessami K, Hezam K, Hiraike Y, Holla R, Hosseini MS, Huynh HH, Hwang BF, Ibitoye SE, Ilic IM, Ilic MD, Iranmehr A, Iravanpour F, Ismail NE, Iwagami M, Iwu CC, Jacob L, Jafarinia M, Jafarzadeh A, Jahankhani K, Jahrami H, Jakovljevic M, Jamshidi E, Jani CT, Janodia MD, Jayapal SK, Jayaram S, Jeganathan J, Jonas JB, Joseph A, Joseph N, Joshua CE, Vaishali K, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kaliyadan F, Kalroozi F, Kamal VK, Kandel A, Kandel H, Kanungo S, Karami J, Karaye IM, Karimi H, Kasraei H, Kazemian S, Kebede SA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khamesipour F, Khan EA, Khan IA, Khan M, Khan MJ, Khan MA, Khan MA, Khatatbeh H, Khatatbeh MM, Khateri S, Khayat Kashani HR, Kim MS, Kisa A, Kisa S, Koh HY, Kolkhir P, Korzh O, Kotnis AL, Koul PA, Koyanagi A, Krishan K, Kuddus M, Kulkarni VV, Kumar N, Kundu S, Kurmi OP, La Vecchia C, Lahariya C, Laksono T, Lám J, Latief K, Lauriola P, Lawal BK, Thu Le TT, Bich Le TT, Lee M, Lee SW, Lee WC, Lee YH, Lenzi J, Levi M, Li W, Ligade VS, Lim SS, Liu G, Liu X, Llanaj E, Lo CH, Machado VS, Maghazachi AA, Mahmoud MA, Mai TA, Majeed A, Sanaye PM, Makram OM, Rad EM, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mansournia MA, Mantovani LG, Martorell M, Masoudi S, Masoumi SZ, Mathangasinghe Y, Mathews E, Mathioudakis AG, Maugeri A, Mayeli M, Carabeo Medina JR, Meles GG, Mendes JJ, Menezes RG, Mestrovic T, Michalek IM, Micheletti Gomide Nogueira de Sá AC, Mihretie ET, Nhat Minh LH, Mirfakhraie R, Mirrakhimov EM, Misganaw A, Mohamadkhani A, Mohamed NS, Mohammadi F, Mohammadi S, Mohammed S, Mohammed S, Mohan S, Mohseni A, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Moniruzzaman M, Moradi Y, Morovatdar N, Mostafavi E, Mousavi P, Mukoro GD, Mulita A, Mulu GB, Murillo-Zamora E, Musaigwa F, Mustafa G, Muthu S, Nainu F, Nangia V, Swamy SN, Natto ZS, Navaraj P, Nayak BP, Nazri-Panjaki A, Negash H, Nematollahi MH, Nguyen DH, Hien Nguyen HT, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Nikolouzakis TK, Nnyanzi LA, Noreen M, Nzoputam CI, Nzoputam OJ, Oancea B, Oh IH, Okati-Aliabad H, Okonji OC, Okwute PG, Olagunju AT, Olatubi MI, Olufadewa II, Ordak M, Otstavnov N, Owolabi MO, Mahesh P, Padubidri JR, Pak A, Pakzad R, Palladino R, Pana A, Pantazopoulos I, Papadopoulou P, Pardhan S, Parthasarathi A, Pashaei A, Patel J, Pathan AR, Patil S, Paudel U, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Pereira RB, Peres MF, Perianayagam A, Perna S, Petcu IR, Pezeshki PS, Pham HT, Philip AK, Piradov MA, Podder I, Podder V, Poddighe D, Sady Prates EJ, Qattea I, Radfar A, Raee P, Rafiei A, Raggi A, Rahim F, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Ur Rahman MH, Rahman M, Rahman MA, Rahmani AM, Rahmani M, Rahmani S, Rahmanian V, Ramasubramani P, Rancic N, Rao IR, Rashedi S, Rashid AM, Ravikumar N, Rawaf S, Mohamed Redwan EM, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Ribeiro D, Rodrigues M, Buendia Rodriguez JA, Roever L, Romero-Rodríguez E, Saad AM, Saddik B, Sadeghian S, Saeed U, Safary A, Safdarian M, Safi SZ, Saghazadeh A, Sagoe D, Sharif-Askari FS, Sharif-Askari NS, Sahebkar A, Sahoo H, Sahraian MA, Sajid MR, Sakhamuri S, Sakshaug JW, Saleh MA, Salehi L, Salehi S, Farrokhi AS, Samadzadeh S, Samargandy S, Samieefar N, Samy AM, Sanadgol N, Sanjeev RK, Sawhney M, Saya GK, Schuermans A, Senthilkumaran S, Sepanlou SG, Sethi Y, Shafie M, Shah H, Shahid I, Shahid S, Shaikh MA, Sharfaei S, Sharma M, Shayan M, Shehata HS, Sheikh A, Shetty JK, Shin JI, Shirkoohi R, Shitaye NA, Shivakumar K, Shivarov V, Shobeiri P, Siabani S, Sibhat MM, Siddig EE, Simpson CR, Sinaei E, Singh H, Singh I, Singh JA, Singh P, Singh S, Siraj MS, Al Mamun Sohag A, Solanki R, Solikhah S, Solomon Y, Soltani-Zangbar MS, Sun J, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabish M, Taheri E, Tahvildari A, Talaat IM, Lukenze Tamuzi JJ, Tan KK, Tat NY, Oliaee RT, Tavasol A, Temsah MH, Thangaraju P, Tharwat S, Tibebu NS, Vera Ticoalu JH, Tillawi T, Tiruye TY, Tiyuri A, Tovani-Palone MR, Tripathi M, Tsegay GM, Tualeka AR, Ty SS, Ubah CS, Ullah S, Ullah S, Umair M, Umakanthan S, Upadhyay E, Vahabi SM, Vaithinathan AG, Tahbaz SV, Valizadeh R, Varthya SB, Vasankari TJ, Venketasubramanian N, Verras GI, Villafañe JH, Vlassov V, Vo DC, Waheed Y, Waris A, Welegebrial BG, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Woldegeorgis BZ, Woldemariam M, Xiao H, Yada DY, Yahya G, Yang L, Yazdanpanah F, Yon DK, Yonemoto N, You Y, Zahir M, Zaidi SS, Zangiabadian M, Zare I, Zeineddine MA, Zemedikun DT, Zeru NG, Zhang C, Zhao H, Zhong C, Zielińska M, Zoladl M, Zumla A, Guo C, Tam LS. Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019. EClinicalMedicine 2023; 64:102193. [PMID: 37731935 PMCID: PMC10507198 DOI: 10.1016/j.eclinm.2023.102193] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
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 -0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = -0.41), inflammatory bowel disease (AAPC = -0.72), multiple sclerosis (AAPC = -0.26), psoriasis (AAPC = -0.77), and atopic dermatitis (AAPC = -0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. Interpretation The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively. Funding The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).
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Kim MS, Hwang J, Yon DK, Lee SW, Jung SY, Park S, Johnson CO, Stark BA, Razo C, Abbasian M, Abbastabar H, Abhari AP, Aboyans V, Adane DEA, Adebayo OM, Alahdab F, Almustanyir S, Aly H, Ameyaw EK, Anderson JA, Andrei CL, Aryan Z, Aujayeb A, Bagherieh S, Baltatu OC, Banach M, Bayileyegn NS, Bearne LM, Behnoush AH, Bensenor IM, Bhaskar S, Bhat AN, Bhat V, Bikbov B, Bintoro BS, Burkart K, Cámera LA, Catapano AL, Chandrasekar EK, Charan J, Chattu VK, Chi G, Chukwu IS, Chung SC, Cirillo M, Coberly K, Costa VM, Dadras O, Dai X, Do TC, Doshi R, Ekholuenetale M, Elgendy IY, Elhadi M, Fagbamigbe AF, Feizkhah A, Fekadu G, Gill PS, Goldust M, Golechha M, Guan SY, Gupta VK, Hadei M, Hadi NR, Hammoud A, Hankey GJ, Harlianto NI, Hasaballah AI, Hassan S, Hassen MB, Heidari G, Hostiuc M, Ilesanmi OS, Iwagami M, Jokar M, Jonas JB, Joshua CE, Jozwiak JJ, Kazemian S, Keykhaei M, Khalaji A, Khan MAB, Khateri S, Kibret BG, Korzh O, Koulmane Laxminarayana SL, Krishan K, Kumar A, Kumar M, Kuttikkattu A, Laksono T, Larijani B, Le TTT, Lim SS, Liu X, Lorkowski S, Magdy Abd El Razek H, Malhotra K, Manla Y, Maugeri A, Mentis AFA, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Mirica A, Mirrakhimov EM, Misganaw A, Mishra M, Mohammad Y, Mokdad AH, Moni MA, Montasir AA, Moradi Y, Moraga P, Morovatdar N, Mousavi-Aghdas SA, Murray CJL, Naghavi M, Nair TS, Nassereldine H, Natto ZS, Nguyen DH, Nguyen HQ, Nguyen VT, Noubiap JJ, Oancea B, Oliveira GMM, Owolabi MO, Padron-Monedero A, Perico N, Petcu IR, Radfar A, Rafferty Q, Rahman M, Rahman MA, Ram P, Rashedi S, Rashid AM, Rawaf S, Remuzzi G, Renzaho AMN, Rezaee M, Roever L, Saad AMA, Saadatagah S, Sadeghi M, Sahebkar A, Saleh MA, Samy AM, Santric-Milicevic MM, Sepanlou SG, Seylani A, Sharfaei S, Shorofi SA, Singh JA, Singh P, Spartalis M, Sundström J, Tan KK, Teramoto M, Tharwat S, Tyrovolas S, Valadan Tahbaz S, Van den Eynde J, Vart P, Wang C, Wang F, Westerman R, Xia J, Xu S, Yada DY, Yamagishi K, Yonemoto N, Zahir M, Zangiabadian M, Zarrintan A, Zastrozhin MS, Zastrozhina A, Zoladl M, Hay SI, Shin JI, Roth GA. Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Glob Health 2023; 11:e1553-e1565. [PMID: 37734799 PMCID: PMC10522777 DOI: 10.1016/s2214-109x(23)00355-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 07/11/2023] [Accepted: 07/17/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. METHODS Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. FINDINGS In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2-128·4), with a global prevalence of 1·52% (95% UI 1·33-1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41-17·87] in those aged 80-84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2-74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. INTERPRETATION The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. FUNDING Bill & Melinda Gates Foundation.
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Ghamari D, Dehghanbanadaki H, Khateri S, Nouri E, Baiezeedi S, Azami M, Ezzati Amini E, Moradi Y. The Prevalence of Depression and Anxiety in Women with Ovarian Cancer: An Updated Systematic Review and Meta-Analysis of Cross-Sectional Studies. Asian Pac J Cancer Prev 2023; 24:3315-3325. [PMID: 37898834 PMCID: PMC10770678 DOI: 10.31557/apjcp.2023.24.10.3315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 10/19/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The results of this study included the prevalence of anxiety and depression in women with ovarian cancer. METHODS A thorough search of numerous databases, including PubMed (Medline), Scopus, Web of Science, Embase, and PsycoInfo, was conducted to identify relevant cross-sectional studies published between July 2013 and October 2021. STATA 16 was used to analyses the data, and a random effects model was used to determine the pooled prevalence and a 95% confidence interval (95%CI). RESULTS Of the 18 cross-sectional studies reviewed, 17 reported the prevalence of anxiety and 16 reported the prevalence of depression in patients with ovarian cancer. There was a moderate degree of heterogeneity between studies, as the pooled prevalence of depression was 27% (95%CI: 14%-41%; I2=69.44%). Similarly, there was a greater degree of heterogeneity in the pooled prevalence of anxiety, which was found to be 33% (95%CI: 21%-44%; I2=78.55%). CONCLUSION The findings of this study show that, compared to the overall female population, ovarian cancer patients have much greater rates of sadness and anxiety. These results highlight the necessity for healthcare policymakers to prioritize the provision of resources and support for carrying out additional research, such as longitudinal studies or cohorts, to ascertain the efficacy of various treatments or interventions intended to lessen mental health disorders in women diagnosed with ovarian cancer. Healthcare practitioners can enhance the general wellbeing and quality of life for women with this disease by addressing the psychological components of care.
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Affiliation(s)
- Darya Ghamari
- Student Research Committee, Kurdistan University of Medical Sciences Sanandaj, Iran.
| | - Hojat Dehghanbanadaki
- Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
| | - Sorour Khateri
- Social Determinant of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
| | - Elham Nouri
- Social Determinant of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
| | - Sheno Baiezeedi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
| | - Mobin Azami
- Student Research Committee, Kurdistan University of Medical Sciences Sanandaj, Iran.
| | - Elnaz Ezzati Amini
- Social Determinant of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
| | - Yousef Moradi
- Social Determinant of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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Moradi Y, Majidi L, Khateri S, Azh N, Gheshlagh RG, Saniee N, Zarei M, Moradpour F. The association between periodontal diseases and helicobacter pylori: an updated meta-analysis of observational studies. BMC Oral Health 2023; 23:523. [PMID: 37496045 PMCID: PMC10369707 DOI: 10.1186/s12903-023-03232-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 06/23/2022] [Accepted: 07/16/2023] [Indexed: 07/28/2023] Open
Abstract
INTRODUCTION Various studies have examined the association between periodontitis and helicobacter pylori and reported conflicting results. The aimed of this systematic review and meta-analysis estimating the association between these two variables. METHODS Electronic databases including PubMed (Medline), Scopus, Web of Sciences and Medline (Elsevier) were searched using the relevant keywords. All observational studies comparing the association between periodontitis and helicobacter pylori were considered. The Newcastle - Ottawa Quality Assessment Scale (NOS) checklist was used for assessing quality of included studies. All statistical analyses were completed using STATA (Version 16). RESULTS Twenty-three studies with 8,638 patients (15 case-control with 2,366 patients and 8 cross-sectional with 6,272 patients) were included in this meta-analysis. After combining the selected studies, the odds of presence the Helicobacter pylori infection in patients with the periodontal disease was 2.47 (OR: 2.47; 95% CI: 2.01, 3.03; I2: 50.87%; P: 0.001). Also, the odds after combining case-control studies was 2.77 (OR: 2.77; % 95 CI: 2.11, 3.66; I2: 37.16%; P: 0.049) and after combining cross-sectional analytical ones, it was equal to 2.07 (OR: 2.07; 95% CI: 1.62, 2.65; I2: 43.25%; P: 0.050). CONCLUSION Based on the results of this meta-analysis, the association between Helicobacter pylori infection and the periodontal disease is evident.
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Affiliation(s)
- Yousef Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Lobat Majidi
- Department of Physical Medicine and Rehabilitation, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Nima Azh
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Reza Ghanei Gheshlagh
- Spiritual Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Nadia Saniee
- Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran
| | - Mostafa Zarei
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Farhad Moradpour
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA, Aali A, Abate YH, Abate MD, Abbasian M, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Rabu R, Abdulah DM, Abdullah AYM, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adane TD, Adane DE, Addo IY, Adegboye OA, Adekanmbi V, Adepoju AV, Adnani QES, Afolabi RF, Agarwal G, Aghdam ZB, Agudelo-Botero M, Aguilera Arriagada CE, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad R, Ahmad S, Ahmad A, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Ahmed LA, Ahmed SA, Ajami M, Akinyemi RO, Al Hamad H, Al Hasan SM, AL-Ahdal TMA, Alalwan TA, Al-Aly Z, AlBataineh MT, Alcalde-Rabanal JE, Alemi S, Ali H, Alinia T, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Amusa GA, Andrei CL, Anjana RM, Ansar A, Ansari G, Ansari-Moghaddam A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Aryan Z, Asemu MT, Asghari-Jafarabadi M, Askari E, Asmelash D, Astell-Burt T, Athar M, Athari SS, Atout MMW, Avila-Burgos L, Awaisu A, Azadnajafabad S, B DB, Babamohamadi H, Badar M, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bah S, Bahadory S, Bai R, Baig AA, Baltatu OC, Baradaran HR, Barchitta M, Bardhan M, Barengo NC, Bärnighausen TW, Barone MTU, Barone-Adesi F, Barrow A, Bashiri H, Basiru A, Basu S, Basu S, Batiha AMM, Batra K, Bayih MT, Bayileyegn NS, Behnoush AH, Bekele AB, Belete MA, Belgaumi UI, Belo L, Bennett DA, Bensenor IM, Berhe K, Berhie AY, Bhaskar S, Bhat AN, Bhatti JS, Bikbov B, Bilal F, Bintoro BS, Bitaraf S, Bitra VR, Bjegovic-Mikanovic V, Bodolica V, Boloor A, Brauer M, Brazo-Sayavera J, Brenner H, Butt ZA, Calina D, Campos LA, Campos-Nonato IR, Cao Y, Cao C, Car J, Carvalho M, Castañeda-Orjuela CA, Catalá-López F, Cerin E, Chadwick J, Chandrasekar EK, Chanie GS, Charan J, Chattu VK, Chauhan K, Cheema HA, Chekol Abebe E, Chen S, Cherbuin N, Chichagi F, Chidambaram SB, Cho WCS, Choudhari SG, Chowdhury R, Chowdhury EK, Chu DT, Chukwu IS, Chung SC, Coberly K, Columbus A, Contreras D, Cousin E, Criqui MH, Cruz-Martins N, Cuschieri S, Dabo B, Dadras O, Dai X, Damasceno AAM, Dandona R, Dandona L, Das S, Dascalu AM, Dash NR, Dashti M, Dávila-Cervantes CA, De la Cruz-Góngora V, Debele GR, Delpasand K, Demisse FW, Demissie GD, Deng X, Denova-Gutiérrez E, Deo SV, Dervišević E, Desai HD, Desale AT, Dessie AM, Desta F, Dewan SMR, Dey S, Dhama K, Dhimal M, Diao N, Diaz D, Dinu M, Diress M, Djalalinia S, Doan LP, Dongarwar D, dos Santos Figueiredo FW, Duncan BB, Dutta S, Dziedzic AM, Edinur HA, Ekholuenetale M, Ekundayo TC, Elgendy IY, Elhadi M, El-Huneidi W, Elmeligy OAA, Elmonem MA, Endeshaw D, Esayas HL, Eshetu HB, Etaee F, Fadhil I, Fagbamigbe AF, Fahim A, Falahi S, Faris MEM, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fazli G, Feng X, Ferede TY, Fischer F, Flood D, Forouhari A, Foroumadi R, Foroutan Koudehi M, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Ganesan B, Garcia-Gordillo MA, Gautam RK, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Getacher L, Ghadirian F, Ghamari SH, Ghasemi Nour M, Ghassemi F, Golechha M, Goleij P, Golinelli D, Gopalani SV, Guadie HA, Guan SY, Gudayu TW, Guimarães RA, Guled RA, Gupta R, Gupta K, Gupta VB, Gupta VK, Gyawali B, Haddadi R, Hadi NR, Haile TG, Hajibeygi R, Haj-Mirzaian A, Halwani R, Hamidi S, Hankey GJ, Hannan MA, Haque S, Harandi H, Harlianto NI, Hasan SMM, Hasan SS, Hasani H, Hassanipour S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Hessami K, Hiraike Y, Holla R, Hossain S, Hossain MS, Hosseini MS, Hosseinzadeh M, Hosseinzadeh H, Huang J, Huda MN, Hussain S, Huynh HH, Hwang BF, Ibitoye SE, Ikeda N, Ilic IM, Ilic MD, Inbaraj LR, Iqbal A, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Iwu CCD, Iyamu IO, Iyasu AN, Jacob L, Jafarzadeh A, Jahrami H, Jain R, Jaja C, Jamalpoor Z, Jamshidi E, Janakiraman B, Jayanna K, Jayapal SK, Jayaram S, Jayawardena R, Jebai R, Jeong W, Jin Y, Jokar M, Jonas JB, Joseph N, Joseph A, Joshua CE, Joukar F, Jozwiak JJ, Kaambwa B, Kabir A, Kabthymer RH, Kadashetti V, Kahe F, Kalhor R, Kandel H, Karanth SD, Karaye IM, Karkhah S, Katoto PDMC, Kaur N, Kazemian S, Kebede SA, Khader YS, Khajuria H, Khalaji A, Khan MAB, Khan M, Khan A, Khanal S, Khatatbeh MM, Khater AM, Khateri S, khorashadizadeh F, Khubchandani J, Kibret BG, Kim MS, Kimokoti RW, Kisa A, Kivimäki M, Kolahi AA, Komaki S, Kompani F, Koohestani HR, Korzh O, Kostev K, Kothari N, Koyanagi A, Krishan K, Krishnamoorthy Y, Kuate Defo B, Kuddus M, Kuddus MA, Kumar R, Kumar H, Kundu S, Kurniasari MD, Kuttikkattu A, La Vecchia C, Lallukka T, Larijani B, Larsson AO, Latief K, Lawal BK, Le TTT, Le TTB, Lee SWH, Lee M, Lee WC, Lee PH, Lee SW, Lee SW, Legesse SM, Lenzi J, Li Y, Li MC, Lim SS, Lim LL, Liu X, Liu C, Lo CH, Lopes G, Lorkowski S, Lozano R, Lucchetti G, Maghazachi AA, Mahasha PW, Mahjoub S, Mahmoud MA, Mahmoudi R, Mahmoudimanesh M, Mai AT, Majeed A, Majma Sanaye P, Makris KC, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mamun AA, Mansouri B, Marateb HR, Mardi P, Martini S, Martorell M, Marzo RR, Masoudi R, Masoudi S, Mathews E, Maugeri A, Mazzaglia G, Mekonnen T, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Minh LHN, Mini GK, Miranda JJ, Mirfakhraie R, Mirrakhimov EM, Mirza-Aghazadeh-Attari M, Misganaw A, Misgina KH, Mishra M, Moazen B, Mohamed NS, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohseni A, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Mons U, Montazeri F, Moodi Ghalibaf A, Moradi Y, Moradi M, Moradi Sarabi M, Morovatdar N, Morrison SD, Morze J, Mossialos E, Mostafavi E, Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. 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. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 191] [Impact Index Per Article: 191.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
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 disease 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.
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Soheili M, Khateri S, Moradpour F, Mohammadzedeh P, Zareie M, Mortazavi SMM, Manifar S, Kohan HG, Moradi Y. The efficacy and effectiveness of COVID-19 vaccines around the world: a mini-review and meta-analysis. Ann Clin Microbiol Antimicrob 2023; 22:42. [PMID: 37208749 DOI: 10.1186/s12941-023-00594-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [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: 10/04/2022] [Accepted: 05/10/2023] [Indexed: 05/21/2023] Open
Abstract
OBJECTIVES This meta-analysis evaluated the Efficacy and Effectiveness of several COVID-19 vaccines, including AstraZeneca, Pfizer, Moderna, Bharat, and Johnson & Johnson, to better estimate their immunogenicity, benefits, or side effects. METHODS Studies reporting the Efficacy and Effectiveness of COVID-19 vaccines from November 2020 to April 2022 were included. The pooled Effectiveness/Efficacy with a 95% confidence interval (95% CI) with Metaprop order was calculated. The results were presented in forest plots. Predefined subgroup analyses and sensitivity analyses were also performed. RESULTS A total of twenty articles were included in this meta-analysis. After the first dose of the vaccine, the total effectiveness of all COVID-19 vaccines in our study was 71% (95% CI 0.65, 0.78). The total effectiveness of vaccines after the second dose was 91% (95% CI 0.88, 0.94)). The total efficacy of vaccines after the first and second doses was 81% (95% CI 0.70, 0.91) and 71% (95% CI 0.62, 0.79), respectively. The effectiveness of the Moderna vaccine after the first and second dose was the highest among other studied vaccines ((74% (95% CI, 0.65, 0.83) and 93% (95% CI, 0.89, 0.97), respectively). The highest first dose overall effectiveness of the studied vaccines was against the Gamma variant (74% (95% CI, 0.73, 0.75)), and the highest effectiveness after the second dose was observed against the Beta variant (96% (95% CI, 0.96, 0.96)). The Efficacy for AstraZeneca and Pfizer vaccines after the first dose was 78% (95% CI, 0.62, 0.95) and 84% (95% CI, 0.77, 0.92), respectively. The second dose Efficacy for AstraZeneca, Pfizer, and Bharat was 67% (95% CI, 0.54, 0.80), 93% (95% CI, 0.85, 1.00), and 71% (95% CI, 0.61, 0.82), respectively. The overall efficacy of first and second dose vaccination against the Alfa variant was 84% (95% CI, 0.84, 0.84) and 77% (95% CI, 0.57, 0.97), respectively, the highest among other variants. CONCLUSION mRNA-based vaccines against COVID-19 showed the highest total efficacy and effectiveness than other vaccines. In general, administering the second dose produced a more reliable response and higher effectiveness than a single dose.
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Affiliation(s)
- Marzieh Soheili
- Department of Pharmaceutical and Administrative Sciences, College of Pharmacy, Western New England University, 1215 Wilbraham Road, Springfield, MA, 01119, USA
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Farhad Moradpour
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Pardis Mohammadzedeh
- Department of Epidemiology and Biostatistics, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mostafa Zareie
- Department of Epidemiology and Biostatistics, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Seyede Maryam Mahdavi Mortazavi
- Pediatric Gastroenterology Fellowship, Department of Pediatrics, School of Medicine, Namazi teaching Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sima Manifar
- Massachusetts College of Pharmacy and Health Sciences (MCPHS), 179 Longwood Avenue, Boston, MA, 02115, USA
| | - Hamed Gilzad Kohan
- Department of Pharmaceutical and Administrative Sciences, College of Pharmacy, Western New England University, 1215 Wilbraham Road, Springfield, MA, 01119, USA.
| | - Yousef Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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Majidi L, Saeb F, Alaei B, Khateri S, Ezzati Amini E, Nikoo MR. Comparison of the Effectiveness of Local Corticosteroid Injection and Extracorporeal Shockwave Therapy in Patients With Pes Anserine Bursitis: An Open-Label Randomized Clinical Trial. Med J Islam Repub Iran 2023; 37:10. [PMID: 37123337 PMCID: PMC10134082 DOI: 10.47176/mjiri.37.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 06/24/2022] [Indexed: 05/02/2023] Open
Abstract
Background: The success rate of extracorporeal shock wave therapy (ESWT) in treating epicondylitis, plantar fasciitis, rotator cuff tendonitis, Achilles tendonitis, and Jumper knee has been reported to be 60% to 80%. Most published studies have compared focused ESWT at different intensities with local corticosteroid injection (LCI). We only identified a few studies that specifically compared ESWT with LCI in patients with pes anserine bursitis (PAB). This study aimed to compare the effectiveness of ESWT and LCI in patients with PAB. Methods: The present study was a randomized clinical trial. Patients diagnosed with PAB who were referred to the physical medicine and rehabilitation clinic underwent a complete physical examination. They (n = 60 patients) were randomly assigned to the ESWT and LCI groups if they met the study criteria. In the ESWT group, 1 ESWT session was performed weekly for 3 consecutive weeks. In the LCI group, 1 injection was performed under an ultrasonography guide. Pes anserine thickness, pain intensity, and treatment satisfaction were measured with visual analog scale (VAS) and quality of life (Short Form-12). A paired-samples t test was used to compare the results obtained in the pre-and posttests. Analysis of variance for repeated measures was used to detect differences over time. The null hypothesis would not be confirmed if the P value was less than the 0.05 level of significance. Results: Pes anserine thickness and pain intensity decreased significantly during the study in both groups (P < 0.001). However, the mean difference of pes anserine thickness was more in the LCI group the ESWT group [(-0.6; 95% CI, -1.0 to -0.3) than (-0.1; 95% CI, -0.5, -0.2); P = 0.008]. Also, the mean difference of pain intensity was lower in the ESWT group] than the LCI group [(-2.9; 95% CI, -3.7 to -2.1) (1.0; 95% CI, 0.1to 1.8); P < 0.001]. Patients' quality of life in both groups increased significantly during the study period (P < 0.001), but the increase in quality of life in patients in the ESWT group (mean difference, 15.3 [95% CI, 10.6-19.9]) was considerably more than in the LCI group (mean difference, -5.3 (95% CI, -10.0 to -0.6). Conclusion: Overall, the results of this study showed that both local corticosteroid injections and extracorporeal shock wave therapy are safe and effective in PAB patients.
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Affiliation(s)
- Lobat Majidi
- Department of Physical Medicine and Rehabilitation, School of Medicine
Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical
Sciences, Hamedan, Iran
| | - Farzaneh Saeb
- Department of Physical Medicine and Rehabilitation, School of Medicine
Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical
Sciences, Hamedan, Iran
| | - Behnaz Alaei
- Department of Physical Medicine and Rehabilitation, School of Medicine
Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical
Sciences, Hamedan, Iran
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation, School of Medicine
Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical
Sciences, Hamedan, Iran
| | - Elnaz Ezzati Amini
- Social Determinant of the Health Research Center, Research Institute for
Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mohammad Reza Nikoo
- Department of Physical Medicine and Rehabilitation, School of Medicine
Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical
Sciences, Hamedan, Iran
- Corresponding author:Mohammad
Reza Nikoo,
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14
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Afraie M, Mohammadzedeh P, Azami M, Khateri S, Zamani K, Moradpour F, Moradi Y. The association of chronic liver disorders with exacerbation of symptoms and complications related to COVID‐19: A systematic review and meta‐analysis of cohort studies. Clinical Respiratory J 2022; 16:777-792. [DOI: 10.1111/crj.13552] [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] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/15/2022] [Accepted: 10/05/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Maryam Afraie
- Department of Epidemiology and Biostatistics, Faculty of Medicine Kurdistan University of Medical Sciences Sanandaj Iran
| | - Pardis Mohammadzedeh
- Department of Epidemiology and Biostatistics, Faculty of Medicine Kurdistan University of Medical Sciences Sanandaj Iran
| | - Mobin Azami
- Student Research Committee Kurdistan University of Medical Sciences Sanandaj Iran
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation Hamedan University of Medical Sciences Hamedan Iran
| | - Kamran Zamani
- Student Research Committee Kurdistan University of Medical Sciences Sanandaj Iran
| | - Farhad Moradpour
- Social Determinants of Health Research Center, Research Institute for Health Development Kurdistan University of Medical Sciences Sanandaj Iran
| | - Yousef Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development Kurdistan University of Medical Sciences Sanandaj Iran
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15
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Soheili M, Nasseri S, Afraie M, Khateri S, Moradi Y, Mahdavi Mortazavi SM, Gilzad-Kohan H. Monkeypox: Virology, Pathophysiology, Clinical Characteristics, Epidemiology, Vaccines, Diagnosis, and Treatments. J Pharm Pharm Sci 2022; 25:297-322. [PMID: 36130588 DOI: 10.18433/jpps33138] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The World Health Organization, has declared the recent multiregional outbreak of monkeypox, a global public health emergency. Monkeypox is a zoonotic viral infection endemic to the west and central Africa. It belongs to the Poxviridae family, the Chordopoxvirinae subfamily, and the Orthopoxvirus genus. The Poxviridae family generally consists of complex, large, enveloped, and linear double-stranded DNA viruses. The initial clinical symptoms of monkeypox are often fever, severe headache, lymphadenopathy, myalgia, and fatigue. The skin lesions typically erupt within 1-3 days of the onset of fever. The rash tends to be more localized on the face and extremities than on the trunk. Monkeypox is often a self-limiting infection, and symptoms last from 2 to 4 weeks. It is isolated from various species, but the exact natural host is uncertain. Monkeypox is transmitted by close contact with infected humans or animals. Currently, no specific medication is available for monkeypox, and the existing therapeutics are the anti-viral agents approved for smallpox infection, including tecovirimat, cidofovir, and brincidofovir. Additionally, the U.S. Food and Drug Administration has approved Vaccinia Immune Globulin Intravenous for treating vaccination complications. It is diagnosed by PCR. There are currently two vaccines licensed by the U.S. Food and Drug Administration. According to the WHO guidance, the first-generation smallpox vaccines held in national reserves of some countries are not recommended as they do not meet the current safety and manufacturing standards. The interim guidance indicates that new and safer (second- and third generation) vaccines for smallpox, may be beneficial for monkeypox prevention, including JYNNEOS, which has been approved for the prevention of monkeypox. Human monkeypox was first reported in 1970. Since then, it has caused several outbreaks, mainly in central and west Africa. The first monkeypox outbreak outside of Africa occurred in the United States in 2003, linked to contact with infected pet prairie dogs. More recently (2018-2021), monkeypox cases have been reported in travelers from Nigeria to the United Kingdom, Israel, Singapore, and the US. Since May 2022, multiple monkeypox cases have been confirmed in several non-endemic countries, raising the concern of an emerging global pandemic. This review is an updated overview of our current state of knowledge regarding monkeypox virology, pathophysiology, clinical characteristics, epidemiology, vaccines, diagnosis, and treatment options.
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Affiliation(s)
- Marzieh Soheili
- College of Pharmacy, Western New England University, Springfield, MA, United States
| | - Sherko Nasseri
- Cellular and Molecular Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Maryam Afraie
- Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Sorour Khateri
- Department of Physical Medicine and Rehabilitation, School of Medicine Sina (Farshchian) Educational and Medical Center, Hamadan University of Medical Sciences, Hamedan, Iran
| | - Yousef Moradi
- Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Seyede Maryam Mahdavi Mortazavi
- Pediatric Gastroenterology Fellowship, Department of Pediatrics, School of Medicine, Namazi teaching Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hamed Gilzad-Kohan
- College of Pharmacy, Western New England University, Springfield, MA, United States
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16
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Najmi Z, Moradi Y, Shams-Beyranvand M, Khateri S, Gharahjeh S, Tehrani S, Varse F, Tiyuri A. A systematic review on the prevalence of endometriosis in women. Indian J Med Res 2021; 154:446-454. [PMID: 35345070 PMCID: PMC9131783 DOI: 10.4103/ijmr.ijmr_817_18] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background & objectives: Endometriosis is one of the causes of female infertility, but the prevalence of endometriosis is not exactly known. We conducted a systematic review and meta-analysis to provide an estimate of the prevalence of endometriosis in women considering the stage of disease, diagnostic method, geographical distribution, clinical symptoms and sample size. Methods: MEDLINE, Web of Science, Google Scholar, Scopus and Cumulative Index of Nursing and Allied Health were searched to identify peer-reviewed studies published from January 1990 to December 2018 reporting the prevalence of endometriosis. Relevant additional articles were identified from the lists of the retrieved articles. Studies with cross-sectional design were included in the meta-analysis. Results: The overall prevalence of endometriosis was 18 per cent [95% confidence interval (CI): 16-20] and the prevalence of endometriosis by stage ranged from two per cent (95% CI: 1-4) for stage 4 to 20 per cent (95% CI: 11-28) for stage 1. The prevalence levels of endometriosis in women with infertility, chronic pelvic pain and asymptomatic were 31 (95% CI: 15-48), 42 (95% CI: 25-58) and 23 per cent (95% CI: 19-26), respectively. Interpretation & conclusions: The results of this study showed that the prevalence of endometriosis in developing countries was high. Future studies are needed to explore other factors affecting the prevalence of endometriosis worldwide, which may help develop future prevention programmes.
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17
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Khateri S, Mohammadi H, Khateri R, Moradi Y. The Prevalence of Underlying Diseases and Comorbidities in COVID-19 Patients; an Updated Systematic Review and Meta-analysis. Arch Acad Emerg Med 2020; 8:e72. [PMID: 33134968 PMCID: PMC7588001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Gaining knowledge about underlying diseases and associated comorbidities in patients with COVID-19 can be beneficial in developing a proper understanding of the disease prognosis as well as comprehensive management, and treatment of the disease. The aim of this study was to determine the prevalence of underlying diseases and associated comorbidities in COVID-19 patients using a systematic review and meta-analysis. METHODS Major biomedical electronic databases, including Scopus, PubMed, Web of Science, CINAHL and EMBASE were searched for all relevant literature published in English from January to July 2020. Cross-sectional and retrospective studies reporting the prevalence of comorbid conditions such as acute cardiac injury, acute myocardial infarction, acute kidney injury, acute liver injury, shock, acute respiratory disease, and acute respiratory distress syndrome in patients with COVID-19 were included in the study. After selecting eligible studies, two authors extracted data of each study, independently, and any inconsistency was resolved through discussion with the third reviewer until reaching a consensus. The risk of bias was assessed by two independent research experts using the Newcastle-Ottawa Scale (NOS). The variance in the meta-analyses on prevalence was stabilized by double arcsine transformations. RESULTS The pooled prevalence of acute respiratory injury in patients with COVID-19 was estimated as 34% (95% Cl: 10 - 57%). Also, the prevalence of acute kidney injury, acute liver injury, acute respiratory distress syndrome, and shock were estimated as 10% (95% Cl: 6 - 14%), 19% (95% Cl: 10 - 27%), 23 % (95% Cl: 19 - 27%), and 12 % (95% Cl: 5 - 19 %). CONCLUSION According to this meta-analysis, comorbidities such as hypertension, acute liver and kidney injury, acute respiratory distress syndrome, shock, diabetes, and coronary heart disease seem to be a predisposing factor for symptomatic and severe COVID-19 infection.
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Affiliation(s)
- Sorour Khateri
- School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Hedyeh Mohammadi
- School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Rozhin Khateri
- Faculty of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Yousef Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
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18
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Mansori K, Khateri S, Moradi Y, Khazaei Z, Mirzaei H, Hanis SM, Aliabadi MA, Ranjbaran M, Varse F, Parang S. Prevalence of obesity and overweight in Iranian children aged less than 5 years: a systematic review and meta-analysis. Korean J Pediatr 2019; 62:206-212. [PMID: 31096744 PMCID: PMC6584232 DOI: 10.3345/kjp.2018.07255] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 04/22/2019] [Indexed: 12/22/2022]
Abstract
Purpose The present study aimed to determine the prevalence of childhood obesity and overweight in Iranian children under 5 years of age using a systematic review and meta-analysis. Methods We searched MEDLINE (PubMed), Web of Science, Google Scholar, Scopus, CINHAL, and the Iranian databases, including Scientific Information Database (www.sid.ir), Iranian Research Institute for Information Science and Technology (Irandoc.ac.ir), Iranmedex (www.iranmedex.com), and Magiran (www.magiran.com), for all articles published between January 1989 and August 2017. Sources of heterogeneity were determined using subgroup analysis and meta-regression. Results Six articles were ultimately included in the meta-analysis to estimate the pooled prevalence, based on which the prevalence of obesity and overweight were estimated to be 8% (95% confidence interval [CI], 6%–10%) and 9% (95% CI, 7%–11%), respectively. The results of the subgroup analysis showed that the prevalence of obesity in boys and girls was 9% (95% CI, 6%–13%) and 7% (95% CI, 4–10%), respectively, and the prevalence of overweight in boys and girls was 10% (95% CI, 5%–15%) and 9% (95% CI, 5%–13%), respectively. Conclusion Despite high heterogeneity among the results of the articles included in the meta-analysis, the prevalence of obesity and overweight is higher in Iranian children under 5 years of age. Therefore, parents and the health system must pay more attention to the lifestyle, nutritional habits, and physical activity of these children.
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Affiliation(s)
- Kamyar Mansori
- Student Research Committee, Dezful University of Medical Sciences, Dezful, Iran.,Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Sorour Khateri
- Student Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Yousef Moradi
- Student Research Committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Zaher Khazaei
- Student Research Committee, Sabzevar University of Medical Science, Sabzevar, Iran
| | - Hossein Mirzaei
- Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Shiva Mansouri Hanis
- School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehran Asadi Aliabadi
- Preventive Medicine and Public Health Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mehdi Ranjbaran
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Varse
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Serveh Parang
- Department of Midwifery, Faculty of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran
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19
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Soroush AR, Flahati F, Zargar M, Soroush MR, Khateri S, Khaji A. Women pose innocent victims of landmines in postwar iran. Iran J Public Health 2010; 39:32-5. [PMID: 23112987 PMCID: PMC3468975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/03/2009] [Accepted: 02/23/2010] [Indexed: 11/15/2022]
Abstract
BACKGROUND Although in the last few years there has been an increasing attention to the problem of landmines, to date, the implications of women being victims of landmine has not been duly dealt with in the world including Iran, which is estimated to be the second most landmine infested country in the world. Still, provinces by the west border of Iran, 18 years after cessation of Iraq-Iran war suffer from the burden of vast areas, highly infested with landmines. This study aimed to provide a gender focused insight into landmine accidents in Iran METHODS In this retrospective study, women with documented deaths or injuries due to landmine and/or unexploded ordnances (UXO) explosions as documented in their medical records between Jul 1988 (after ceasefire) and Feb 2003 were studied in 5 western provinces of Iran. Data was analyzed by SPSS for Windows Version 11. P value under 0.05 was considered statistically significant RESULTS During the 14-year study period, 252 women from 5 western provinces of Iran were reported to have injuries or death due to landmine and UXOs. All of the victims were civilians and the majority of them (47.6%) had one or more amputations. Most of them were injured in the period between1994 and 1998. The majority of the patients were young. CONCLUSION Women who should take care of themselves as well as their families are more prone to sufferings inflicted by landmines and UXO.
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Affiliation(s)
- AR Soroush
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Iran
| | - F Flahati
- Janbazan Medical & Engineering Research center, Tehran, Iran,Corresponding Author: Tel: +98 912 302 56 48, Fax: +98 21 23 992094, E-mail:
| | - M Zargar
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Iran
| | - MR Soroush
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Iran
| | - S Khateri
- Janbazan Medical & Engineering Research center, Tehran, Iran
| | - A Khaji
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Iran
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