Factors associated with chronic kidney disease in patients with type 2 diabetes in Bangladesh
- Islam, Sheikh, Salehin, Masudus, Zaman, Sojib, Tansi, Tania, Gupta, Rajat
- Authors: Islam, Sheikh , Salehin, Masudus , Zaman, Sojib , Tansi, Tania , Gupta, Rajat
- Date: 2021
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 23 (2021), p.
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- Description: Diabetes and chronic kidney disease (CKD) are a major public health burden in low- and middle-income countries. This study aimed to explore factors associated with CKD in patients with type 2 diabetes (T2D) in Bangladesh. A cross-sectional study was conducted among 315 adults with T2D presenting at the outpatient department of Bangladesh Institute of Health Sciences (BIHS) hospital between July 2013 to December 2013. CKD was diagnosed based on the estimated glomerular filtration rate using the ‘Modification of Diet in Renal Disease’ equations and the presence of albu-minuria estimated by the albumin-to-creatinine ratio. Multivariate logistic regression analysis was used to determine the factors associated with CKD. The overall prevalence of CKD among patients with T2D was 21.3%. In the unadjusted model, factors associated with CKD included age 40–49 years (OR: 5.7, 95% CI: 1.3–25.4), age 50–59 years (7.0, 1.6–39), age ≥60 years (7.6, 1.7–34), being female (2.2, 1.2–3.8), being hypertensive (1.9, 1.1–3.5), and household income between 10,001 and 20,000 Bangladeshi taka, BDT (2.9, 1.0–8.2) compared with income ≤10,000 BDT. However, after ad-justment of other covariates, only the duration of hypertension and household income (10,001– 20,000 BDT) remained statistically significant. There is a need to implement policies and programs for early detection and management of hypertension and CKD in T2D patients in Bangladesh. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Masudus Salehin” is provided in this record**
- Authors: Islam, Sheikh , Salehin, Masudus , Zaman, Sojib , Tansi, Tania , Gupta, Rajat
- Date: 2021
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 23 (2021), p.
- Full Text:
- Reviewed:
- Description: Diabetes and chronic kidney disease (CKD) are a major public health burden in low- and middle-income countries. This study aimed to explore factors associated with CKD in patients with type 2 diabetes (T2D) in Bangladesh. A cross-sectional study was conducted among 315 adults with T2D presenting at the outpatient department of Bangladesh Institute of Health Sciences (BIHS) hospital between July 2013 to December 2013. CKD was diagnosed based on the estimated glomerular filtration rate using the ‘Modification of Diet in Renal Disease’ equations and the presence of albu-minuria estimated by the albumin-to-creatinine ratio. Multivariate logistic regression analysis was used to determine the factors associated with CKD. The overall prevalence of CKD among patients with T2D was 21.3%. In the unadjusted model, factors associated with CKD included age 40–49 years (OR: 5.7, 95% CI: 1.3–25.4), age 50–59 years (7.0, 1.6–39), age ≥60 years (7.6, 1.7–34), being female (2.2, 1.2–3.8), being hypertensive (1.9, 1.1–3.5), and household income between 10,001 and 20,000 Bangladeshi taka, BDT (2.9, 1.0–8.2) compared with income ≤10,000 BDT. However, after ad-justment of other covariates, only the duration of hypertension and household income (10,001– 20,000 BDT) remained statistically significant. There is a need to implement policies and programs for early detection and management of hypertension and CKD in T2D patients in Bangladesh. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Masudus Salehin” is provided in this record**
- Causey, Kate, Salvi, Devashri, Abbafati, Cristiana, Adekanmbi, Victor, Adsuar, Jose, Ahmadi, Keivan, Alahdab, Fares, Andrei, Catalina, Arabloo, Jalal, Aripov, Timur, Babaee, Ebrahim, Barnett, Anthony, Bedi, Neeraj, Béjot, Yannick, Bernstein, Robert, Bijani, Ali, Brenner, Hermann, Butt, Zahid, Cantu-Brito, Carlos, Chauhan, Bal Govind, Choi, Jee-Young Jasmine, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davletov, Kairat, Dharmaratne, Samath, Diaz, Daniel, Duncan, Bruce, Fattahi, Nazir, Fazlzadeh, Mehdi, Fernandes, Eduarda, Filip, Irina, Foigt, Nataliya, Freitas, Marisa, Gill, Paramjit Singh, Habtewold, Tesfa, Hamadeh, Randah, Hasanpoor, Edris, Heibati, Behzad, Househ, Mowafa, Jaafari, Jalil, Jakovljevic, Mihajlo, Jha, Ravi Prakash, Jonas, Jost, Khafaie, Morteza, Khatab, Khaled, Kivimäki, Mika, Koyanagi, Ai, Lee, Paul, Lewycka, Sonia, Li, Shanshan, Lim, Lee-Ling, Mahotra, Narayan, Majeed, Azeem, Maleki, Afshin, Mamun, Abdullah, Martini, Santi, Meharie, Birhanu, Menezes, Ritesh, Mestrovic, Tomislav, Miazgowski, Tomasz, Mini, G. K., Mirica, Andreea, Mohan, Viswanathan, Moraga, Paula, Morrison, Shane, Mueller, Ulrich, Mukhopadhyay, Satinath, Mustafa, Ghulam, Nangia, Vinay, Ningrum, Dina, Owolabi, Mayowa, P A, Mahesh, Pourjafar, Hadi, Rafiei, Alireza, Rai, Rajesh, Raoofi, Samira, Renzaho, Andre, Ronfani, Luca, Sabour, Siamak, Sadeghi, Ehsan, Sarmiento-Suárez, Rodrigo, Schutte, Aletta, Sharafi, Kiomars, Sheikh, Aziz, Shirkoohi, Reza, Shuval, Kerem, Soyiri, Ireneous, Topor-Madry, Roman, Ullah, Irfan, Vacante, Marco, Violante, Francesco, Waheed, Yasir, Wolfe, Charles, Yamada, Tomohide, Yonemoto, Naohiro, Yu, Chuanhua, Zaman, Sojib, Brauer, Michael
- Authors: Causey, Kate , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Andrei, Catalina , Arabloo, Jalal , Aripov, Timur , Babaee, Ebrahim , Barnett, Anthony , Bedi, Neeraj , Béjot, Yannick , Bernstein, Robert , Bijani, Ali , Brenner, Hermann , Butt, Zahid , Cantu-Brito, Carlos , Chauhan, Bal Govind , Choi, Jee-Young Jasmine , Dai, Xiaochen , Dandona, Lalit , Dandona, Rakhi , Daryani, Ahmad , Davletov, Kairat , Dharmaratne, Samath , Diaz, Daniel , Duncan, Bruce , Fattahi, Nazir , Fazlzadeh, Mehdi , Fernandes, Eduarda , Filip, Irina , Foigt, Nataliya , Freitas, Marisa , Gill, Paramjit Singh , Habtewold, Tesfa , Hamadeh, Randah , Hasanpoor, Edris , Heibati, Behzad , Househ, Mowafa , Jaafari, Jalil , Jakovljevic, Mihajlo , Jha, Ravi Prakash , Jonas, Jost , Khafaie, Morteza , Khatab, Khaled , Kivimäki, Mika , Koyanagi, Ai , Lee, Paul , Lewycka, Sonia , Li, Shanshan , Lim, Lee-Ling , Mahotra, Narayan , Majeed, Azeem , Maleki, Afshin , Mamun, Abdullah , Martini, Santi , Meharie, Birhanu , Menezes, Ritesh , Mestrovic, Tomislav , Miazgowski, Tomasz , Mini, G. K. , Mirica, Andreea , Mohan, Viswanathan , Moraga, Paula , Morrison, Shane , Mueller, Ulrich , Mukhopadhyay, Satinath , Mustafa, Ghulam , Nangia, Vinay , Ningrum, Dina , Owolabi, Mayowa , P A, Mahesh , Pourjafar, Hadi , Rafiei, Alireza , Rai, Rajesh , Raoofi, Samira , Renzaho, Andre , Ronfani, Luca , Sabour, Siamak , Sadeghi, Ehsan , Sarmiento-Suárez, Rodrigo , Schutte, Aletta , Sharafi, Kiomars , Sheikh, Aziz , Shirkoohi, Reza , Shuval, Kerem , Soyiri, Ireneous , Topor-Madry, Roman , Ullah, Irfan , Vacante, Marco , Violante, Francesco , Waheed, Yasir , Wolfe, Charles , Yamada, Tomohide , Yonemoto, Naohiro , Yu, Chuanhua , Zaman, Sojib , Brauer, Michael
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet. Planetary health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text: false
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- Description: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Bill & Melinda Gates Foundation.
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