Association between type 2 diabetes and chronic arsenic exposure in drinking water: A cross sectional study in Bangladesh

被引:74
|
作者
Islam, Md Rafiqul [1 ]
Khan, Ismail [2 ]
Hassan, Sheikh Md Nazmul [3 ]
McEvoy, Mark [1 ]
D'Este, Catherine [1 ]
Attia, John [1 ]
Peel, Roseanne [1 ]
Sultana, Munira [4 ]
Akter, Shahnaz [5 ]
Milton, Abul Hasnat [1 ]
机构
[1] Univ Newcastle, CCEB, New Lambton Hts, NSW 2305, Australia
[2] Dhaka Med Coll, Dept Pharmacol, Dhaka, Bangladesh
[3] Atish Dipankar Univ Sci & Technol, Dept Publ Hlth, Dhaka, Dhanmondi, Bangladesh
[4] Ctr Hlth & Dev CHAD, Gopalgonj, Bangladesh
[5] ICMH, Dhaka, Bangladesh
关键词
BLOOD-GLUCOSE; MELLITUS; PREVALENCE; TRANSCRIPTION; POPULATION; DISEASES; COHORT;
D O I
10.1186/1476-069X-11-38
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Chronic exposure to high level of inorganic arsenic in drinking water has been associated with Type 2 Diabetes (T2D). Most research has been ecological in nature and has focused on high levels of arsenic exposure with few studies directly measuring arsenic levels in drinking water as an index of arsenic exposure. The effect of low to moderate levels of arsenic exposure on diabetes risk is largely unknown thus our study is adding further knowledge over previous works. Methods: This cross sectional study was conducted in 1004 consenting women and men from 1682 eligible participants yielding a participation rate of 60%. These participants are aged > 30 years and were living in Bangladesh and had continuously consumed arsenic-contaminated drinking water for at least 6 months. T2D cases were diagnosed using glucometer following the new diagnostic criteria (Fasting Blood Glucose > 126 mg/dl) from the WHO guideline (WHO 2006), or a self-reported physician diagnosis of type 2 diabetes. Association between T2D and chronic arsenic exposure was estimated by multiple logistic regression with adjustment for age, sex, education, Body Mass Index (BMI) and family history of T2D. Results: A total of 1004 individuals participated in the study. The prevalence of T2D was 9% (95% CI 7-11%). After adjustment for diabetes risk factors, an increased risk of type 2 diabetes was observed for arsenic exposure over 50 mu g/L with those in the highest category having almost double the risk of type 2 diabetes (OR=1.9; 95% CI 1.1-3.5). For most levels of arsenic exposure, the risk estimates are higher with longer exposure; a dose-response pattern was also observed. Conclusions: These findings suggest an association between chronic arsenic exposure through drinking water and T2D. Risks are generally higher with longer duration of arsenic exposure. The risk of T2D is highest among those who were exposed to the highest concentration of arsenic for more than 10 years.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] No Association between Arsenic Exposure from Drinking Water and Diabetes Mellitus: A Cross-Sectional Study in Bangladesh
    Chen, Yu
    Ahsan, Habibul
    Slavkovich, Vesna
    Peltier, Gretchen Loeffler
    Gluskin, Rebecca T.
    Parvez, Faruque
    Liu, Xinhua
    Graziano, Joseph H.
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2010, 118 (09) : 1299 - 1305
  • [2] Association between Hypertension and Chronic Arsenic Exposure in Drinking Water: A Cross-Sectional Study in Bangladesh
    Islam, Mohammad Rafiqul
    Khan, Ismail
    Attia, John
    Hassan, Sheikh Mohammad Nazmul
    McEvoy, Mark
    D'Este, Catherine
    Azim, Syed
    Akhter, Ayesha
    Akter, Shahnaz
    Shahidullah, Sheikh Mohammad
    Milton, Abul Hasnat
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2012, 9 (12): : 4522 - 4536
  • [3] Association of Low to Moderate Levels of Arsenic Exposure With Risk of Type 2 Diabetes in Bangladesh
    Pan, Wen-Chi
    Seow, Wei Jie
    Kile, Molly L.
    Hoffman, Elaine B.
    Quamruzzaman, Quazi
    Rahman, Mahmuder
    Mahiuddin, Golam
    Mostofa, Golam
    Lu, Quan
    Christiani, David C.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2013, 178 (10) : 1563 - 1570
  • [4] Prolonged environmental exposure of arsenic through drinking water on the risk of hypertension and type 2 diabetes
    Li, Xin
    Li, Bing
    Xi, Shuhua
    Zheng, Quanmei
    Lv, Xiuqiang
    Sun, Guifan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2013, 20 (11) : 8151 - 8161
  • [5] The association between neighbourhood greenspace and type 2 diabetes in a large cross-sectional study
    Bodicoat, Danielle H.
    O'Donovan, Gary
    Dalton, Alice M.
    Gray, Laura J.
    Yates, Thomas
    Edwardson, Charlotte
    Hill, Sian
    Webb, David R.
    Khunti, Kamlesh
    Davies, Melanie J.
    Jones, Andrew P.
    BMJ OPEN, 2014, 4 (12):
  • [6] Socioeconomic status and the association between arsenic exposure and type 2 diabetes
    Eick, Stephanie M.
    Ferreccio, Catterina
    Acevedo, Johanna
    Castriota, Felicia
    Cordero, Jose F.
    Roh, Taehyun
    Smith, Allan H.
    Smith, Martyn T.
    Steinmaus, Craig
    ENVIRONMENTAL RESEARCH, 2019, 172 : 578 - 585
  • [7] Association of urinary arsenic metabolism with type 2 diabetes and glucose homeostasis: Cross-sectional and longitudinal associations.
    Li, Weiya
    Li, Zhaoyang
    Yan, Yan
    Zhang, Jiazhen
    Zhou, Qihang
    Wang, Ruixin
    He, Meian
    ENVIRONMENTAL RESEARCH, 2023, 239
  • [8] Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh
    Ourshalimian, Shadassa
    Naser, Abu Mohd
    Rahman, Mahbubur
    Doza, Solaiman
    Stowell, Jennifer
    Narayan, K. M. Venkat
    Shamsudduha, Mohammad
    Gribble, Matthew O.
    ENVIRONMENTAL RESEARCH, 2019, 172 : 249 - 257
  • [9] Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis
    Wang, Weijing
    Xie, Zhutian
    Lin, Yan
    Zhang, Dongfeng
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2014, 68 (02) : 176 - 184
  • [10] A case-cohort study examining lifetime exposure to inorganic arsenic in drinking water and diabetes mellitus
    James, Katherine A.
    Marshall, Julie A.
    Hokanson, John E.
    Meliker, Jaymie R.
    Zerbe, Gary O.
    Byers, Tim E.
    ENVIRONMENTAL RESEARCH, 2013, 123 : 33 - 38