Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania
Abstract Background Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. Methods This study used data from a c...
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | BMC Pregnancy and Childbirth |
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| Online Access: | https://doi.org/10.1186/s12884-022-04838-1 |
| _version_ | 1811323611519123456 |
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| author | Safiness Simon Msollo Haikael David Martin Akwilina Wendelin Mwanri Pammla Petrucka |
| author_facet | Safiness Simon Msollo Haikael David Martin Akwilina Wendelin Mwanri Pammla Petrucka |
| author_sort | Safiness Simon Msollo |
| collection | DOAJ |
| description | Abstract Background Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. Methods This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization’s criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model’s performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™. Results The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96–0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46. Conclusion The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population. |
| first_indexed | 2024-04-13T13:58:16Z |
| format | Article |
| id | doaj.art-ff263e0c92b7494cb48f400f155834b2 |
| institution | Directory Open Access Journal |
| issn | 1471-2393 |
| language | English |
| last_indexed | 2024-04-13T13:58:16Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj.art-ff263e0c92b7494cb48f400f155834b22022-12-22T02:44:08ZengBMCBMC Pregnancy and Childbirth1471-23932022-07-0122111110.1186/s12884-022-04838-1Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, TanzaniaSafiness Simon Msollo0Haikael David Martin1Akwilina Wendelin Mwanri2Pammla Petrucka3Depertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of AgricultureSchool of Life Sciences, Nelson Mandela African Institution of Science and TechnologyDepertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of AgricultureCollege of Nursing, University of SaskatchewanAbstract Background Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. Methods This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization’s criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model’s performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™. Results The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96–0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46. Conclusion The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population.https://doi.org/10.1186/s12884-022-04838-1Risk scoreChecklistGestational diabetes mellitusTanzania |
| spellingShingle | Safiness Simon Msollo Haikael David Martin Akwilina Wendelin Mwanri Pammla Petrucka Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania BMC Pregnancy and Childbirth Risk score Checklist Gestational diabetes mellitus Tanzania |
| title | Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania |
| title_full | Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania |
| title_fullStr | Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania |
| title_full_unstemmed | Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania |
| title_short | Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania |
| title_sort | simple method for identification of women at risk of gestational diabetes mellitus in arusha urban tanzania |
| topic | Risk score Checklist Gestational diabetes mellitus Tanzania |
| url | https://doi.org/10.1186/s12884-022-04838-1 |
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