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Repository of Research and Investigative Information

Ilam University of Medical Sciences

Age-Sex differences in the global burden of lower respiinfections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019

Tue Dec 24 07:15:11 2024

(2022) Age-Sex differences in the global burden of lower respiinfections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infectious Diseases. pp. 1626-1647. ISSN 1473-3099

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Official URL: <Go to ISI>://WOS:000929537500051

Abstract

Background The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across a groups by sex, for 204 countries and territories. Methods In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used dinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4 B97.6, 109-115.8, J16 J16.9, J20-121.9, J91.0, P23.0 P23.4, and U04 U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23109 site-years of vital r *stration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian metaregression tool, to analyse age sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and daims and inpatient data. Additio y, we estimated age sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings Globally, in 2019, we estimated that there were 257 million (95 uncertainty interval UI 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1.30 million (95% UI 1.18-1.42) male deaths and 1.20 million (1.07-1.33) female deaths. Age-standardised incidence and mortality rates were 1.17 times (95% UI 1.16-1.18) and 1.31 times (95% UI 1.23-1.41) greater in males than in fe es in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126.0% 95% UI 121.4-131.1) and deaths (100.0% 83.4-115.9). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest dedine was observed for LRI deaths in males younger than 5 years (-70.7% -77.2 to 61.8). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction PAF 53.0% 95% UI 37.7-61.8 in males and 56.4% 40.7-65.1 in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26.0% 95% UI 16.6-35.5 for males and PAF 25.8% 16.3-35.4 for females). PAFs of male LRI deaths attributed to smoking were 20.4% (95% UI 15.4-25.2) in those aged 15-49 years, 305% (24.1-36. 9) in those aged 50-69 years, and 21.9% (16. 8-27. 3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21.1% (95% UI 14.5-27.9) in those aged 15-49 years and 18 " 2% (12.5-24.5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11-7% (95% UI 8.2-15.8) of LRI deaths. Interpretation The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children you - than 5 years was dearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, induding promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Copyright 2022 The Author(s). Published by Elsevier Ltd.

Item Type: Article
Creators:
CreatorsEmail
Kyu, H. H.UNSPECIFIED
Vongpradith, A.UNSPECIFIED
Sirota, S. B.UNSPECIFIED
Novotney, A.UNSPECIFIED
Troeger, C. E.UNSPECIFIED
Doxey, M. C.UNSPECIFIED
Bender, R. G.UNSPECIFIED
Ledesma, J. R.UNSPECIFIED
Biehl, M. H.UNSPECIFIED
Albertson, S. B.UNSPECIFIED
Frostad, J. J.UNSPECIFIED
Burkart, K.UNSPECIFIED
Bennitt, F. B.UNSPECIFIED
Zhao, J. T.UNSPECIFIED
Gardner, W. M.UNSPECIFIED
Hagins, H.UNSPECIFIED
Bryazka, D.UNSPECIFIED
Dominguez, R. M. V.UNSPECIFIED
Abate, S. M.UNSPECIFIED
Abdelmasseh, M.UNSPECIFIED
Abdoli, A.UNSPECIFIED
Abdoli, G.UNSPECIFIED
Abedi, A.UNSPECIFIED
Abedi, V.UNSPECIFIED
Abegaz, T. M.UNSPECIFIED
Abidi, H.UNSPECIFIED
Aboagye, R. G.UNSPECIFIED
Abolhassani, H.UNSPECIFIED
Abtew, Y. D.UNSPECIFIED
Ali, H. A.UNSPECIFIED
Abu-Gharbieh, E.UNSPECIFIED
Abu-Zaid, A.UNSPECIFIED
Adamu, K.UNSPECIFIED
Addo, I. Y.UNSPECIFIED
Adegboye, O. A.UNSPECIFIED
Adnan, M.UNSPECIFIED
Adnani, Q. E. S.UNSPECIFIED
Afzal, M. S.UNSPECIFIED
Afzal, S.UNSPECIFIED
Ahinkorah, B. O.UNSPECIFIED
Ahmad, A.UNSPECIFIED
Ahmad, A. R.UNSPECIFIED
Ahmad, S.UNSPECIFIED
Ahmadi, A.UNSPECIFIED
Ahmadi, S.UNSPECIFIED
Ahmed, H.UNSPECIFIED
Ahmed, J. Q.UNSPECIFIED
Rashid, T. A.UNSPECIFIED
Akbarzadeh-Khiavi, M.UNSPECIFIED
Al Hamad, H.UNSPECIFIED
Albano, L.UNSPECIFIED
Aldeyab, M. A.UNSPECIFIED
Alemu, B. M.UNSPECIFIED
Alene, K. A.UNSPECIFIED
Algammal, A. M.UNSPECIFIED
Alhalaiqa, F. A. N.UNSPECIFIED
Alhassan, R. K.UNSPECIFIED
Ali, B. A.UNSPECIFIED
Ali, L.UNSPECIFIED
Ali, M. M.UNSPECIFIED
Ali, S. S.UNSPECIFIED
Alimohamadi, Y.UNSPECIFIED
Alipour, V.UNSPECIFIED
Al-Jumaily, A.UNSPECIFIED
Aljunid, S. M.UNSPECIFIED
Almustanyir, S.UNSPECIFIED
Al-Raddadi, R. M.UNSPECIFIED
Al-Rifai, R. H. H.UNSPECIFIED
AlRyalat, S. A. S.UNSPECIFIED
Alvis-Guzman, N.UNSPECIFIED
Alvis-Zakzuk, N. J.UNSPECIFIED
Ameyaw, E. K.UNSPECIFIED
Dehkordi, J. J. A.UNSPECIFIED
Amuasi, J. H.UNSPECIFIED
Amugsi, D. A.UNSPECIFIED
Anbesu, E. W.UNSPECIFIED
Ansar, A.UNSPECIFIED
Anyasodor, A. E.UNSPECIFIED
Arabloo, J.UNSPECIFIED
Areda, D.UNSPECIFIED
Argaw, A. M.UNSPECIFIED
Argaw, Z. G.UNSPECIFIED
Arulappan, J.UNSPECIFIED
Aruleba, R. T.UNSPECIFIED
Asemahagn, M. A.UNSPECIFIED
Athari, S. S.UNSPECIFIED
Atlaw, D.UNSPECIFIED
Attia, E. F.UNSPECIFIED
Attia, S.UNSPECIFIED
Aujayeb, A.UNSPECIFIED
Awoke, T.UNSPECIFIED
Ayana, T. M.UNSPECIFIED
Ayanore, M. A.UNSPECIFIED
Azadnajafabad, S.UNSPECIFIED
Azangou-Khyavy, M.UNSPECIFIED
Azari, S.UNSPECIFIED
Jafari, A. A.UNSPECIFIED
Badar, M.UNSPECIFIED
Badiye, A. D.UNSPECIFIED
Baghcheghi, N.UNSPECIFIED
othersUNSPECIFIED
Keywords: ambient air-quality covid-19 malnutrition time Infectious Diseases
Divisions:
Page Range: pp. 1626-1647
Journal or Publication Title: Lancet Infectious Diseases
Journal Index: ISI
Volume: 22
Number: 11
Identification Number: https://doi.org/10.1016/s1473-3099(22)00510-2
ISSN: 1473-3099
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/4248

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