Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh: Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017–18)

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Fältnamn	Indikatorer	Metadata
000		03465naa a2200409 4500
001		oai:DiVA.org:miun-47421
003		SwePub
008		230131s2023 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-474212 URI
024	7	a https://doi.org/10.1016/j.dsx.2023.1027062 DOI
040		a (SwePub)miun
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Shirin Sara, S.4 aut
245	1 0	a Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh :b Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017–18)
264	1	b Elsevier BV,c 2023
338		a print2 rdacarrier
520		a Background and aims: Prevalence of type 2 diabetes has been rising rapidly especially in low- and middle-income countries. The purpose of this study is to analyze the prevalence of type 2 diabetes in 2011 and 2017–18, and the risk factors based on the Bangladesh Demographic and Health Surveys (BDHS). Methods: The study comprised of data from the BDHS 2011 and the BDHS 2017–18 with 7565 (50.6% female) and 12,299 respondents (56.9% female) respectively. The plasma blood glucose was classified into normal, pre-diabetes, and diabetes categories. While univariate analysis was performed to determine the data, Chi-square and gamma analyses were used for bivariate estimation of the correlation between diabetes status and other comorbidities. Multinomial and ordinal logistic regression were also performed to trace the link between diabetes and various risk factors. Results: The 2011 BDHS survey indicated that nearly half of the participants (47.6%) had pre-diabetic condition, while 10.2% were diagnosed with diabetes. On the other hand, the BDHS 2017-18 demonstrated that 28.6% and 8.6% of participants had pre-diabetes and diabetes, respectively. Results of inferential statistics showed that gender (p<0.05), age, wealth status, physical activity, BMI (p<0.01), and caffeinated beverages (p<0.05), were significantly linked with diabetes status. Conclusion: According to our findings, older people and people with lower education are more likely to develop diabetes. BMIˏ Physically active, wealth status, diet and lifestyle were significant predictors of type 2 diabetes. Healthy lifestyle, physical activities, proper knowledge and awareness can reduce the risk of T2D.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
653		a Bangladesh
653		a Demographic and health survey
653		a Regression models
653		a Risk factors
653		a Type 2 diabetes
700	1	a Talukder, A.4 aut
700	1	a Lee, Ka Yiuu Mittuniversitetet,Institutionen för hälsovetenskaper (HOV),Swedish Winter Sports Research Centre4 aut0 (Swepub:miun)kyllee
700	1	a Basak, N.4 aut
700	1	a Rahman Razu, S.4 aut
700	1	a Haq, I.4 aut
700	1	a Nath, C. D.4 aut
710	2	a Mittuniversitetetb Institutionen för hälsovetenskaper (HOV)4 org
773	0	t Diabetes & Metabolic syndromed : Elsevier BVg 17:2q 17:2x 1871-4021x 1878-0334
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-47421
856	4 8	u https://doi.org/10.1016/j.dsx.2023.102706

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Av författaren/redakt...: Shirin Sara, S.; Talukder, A.; Lee, Ka Yiu; Basak, N.; Rahman Razu, S.; Haq, I.; visa fler...; Nath, C. D.; visa färre...

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