Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women
The role of dietary glycemic index (GI) and glycemic load (GL) intake in GDM incidence is uncertain. This prospective cohort study was conducted to determine the contribution of calculated dietary GI and GL towards the incidence of GDM among healthy pregnant women in Seremban district. Pregnan...
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| Format: | Thesis |
| Language: | English |
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2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/85551/ http://psasir.upm.edu.my/id/eprint/85551/1/FPSK%28M%29%202016%2083%20ir.pdf |
| _version_ | 1848860117028569088 |
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| author | Hasbullah, Farah Yasmin |
| author_facet | Hasbullah, Farah Yasmin |
| author_sort | Hasbullah, Farah Yasmin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The role of dietary glycemic index (GI) and glycemic load (GL) intake in GDM
incidence is uncertain. This prospective cohort study was conducted to determine the
contribution of calculated dietary GI and GL towards the incidence of GDM among
healthy pregnant women in Seremban district. Pregnant women were recruited in the first
trimester and were followed-up until their second trimester. GDM was diagnosed during
the second trimester of pregnancy using International Diabetes in Pregnancy Study
Groups (IADPSG) criteria. Primary outcome was GDM incidence whereas calculated
dietary GI and GL were the primary independent variables.
Dietary intake and selected established risk factors including maternal age, ethnicity,
family history of diabetes mellitus (DM), history of GDM, and pre-pregnancy body mass
index (BMI) acted as covariates to dietary GI and GL. These risk factors were obtained
through interviews or medical records. Food intake, dietary GI and GI were assessed
using food frequency questionnaire (FFQ). Independent t-test was used to compare the
differences between GDM and non-GDM respondents. Binary logistic regression was
used to determine the contribution of calculated dietary GI and GL towards GDM
incidence.
The number of respondents recruited was 347, with a response rate of 78.9%. Data
analysis was performed for respondents who completed the assessments during the
second trimester (n = 294). In this cohort, the incidence of GDM was 11.6%. GDM
respondents tended to have a history of GDM and be overweight or obese. GDM
respondents had significantly lower carbohydrate, dietary GI and GL intakes during the
first trimester. Dietary GI and GL intake during the first trimester significantly predicted
GDM incidence in a crude odds ratio. After adjusting for confounders, only dietary GI
intake during the first trimester was a significant contributor towards GDM incidence;
however, the association was negative (β = -0.186, OR 0.830, p = 0.035). The negative relationship could possibly be due to dietary misreporting or the invalidity of the method
used in assessing dietary GI intake. Dietary GL was positively associated with GDM
incidence during both trimesters, but the association was not significant.
In conclusion, dietary GI significantly contributed towards GDM incidence, in addition
to other established risk factors including pre-pregnancy BMI and history of GDM.
However, failing to demonstrate positive links between dietary GI intake and GDM
incidence was unexpected which warrants future investigation. |
| first_indexed | 2025-11-15T12:40:08Z |
| format | Thesis |
| id | upm-85551 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:40:08Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-855512021-12-14T02:02:37Z http://psasir.upm.edu.my/id/eprint/85551/ Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women Hasbullah, Farah Yasmin The role of dietary glycemic index (GI) and glycemic load (GL) intake in GDM incidence is uncertain. This prospective cohort study was conducted to determine the contribution of calculated dietary GI and GL towards the incidence of GDM among healthy pregnant women in Seremban district. Pregnant women were recruited in the first trimester and were followed-up until their second trimester. GDM was diagnosed during the second trimester of pregnancy using International Diabetes in Pregnancy Study Groups (IADPSG) criteria. Primary outcome was GDM incidence whereas calculated dietary GI and GL were the primary independent variables. Dietary intake and selected established risk factors including maternal age, ethnicity, family history of diabetes mellitus (DM), history of GDM, and pre-pregnancy body mass index (BMI) acted as covariates to dietary GI and GL. These risk factors were obtained through interviews or medical records. Food intake, dietary GI and GI were assessed using food frequency questionnaire (FFQ). Independent t-test was used to compare the differences between GDM and non-GDM respondents. Binary logistic regression was used to determine the contribution of calculated dietary GI and GL towards GDM incidence. The number of respondents recruited was 347, with a response rate of 78.9%. Data analysis was performed for respondents who completed the assessments during the second trimester (n = 294). In this cohort, the incidence of GDM was 11.6%. GDM respondents tended to have a history of GDM and be overweight or obese. GDM respondents had significantly lower carbohydrate, dietary GI and GL intakes during the first trimester. Dietary GI and GL intake during the first trimester significantly predicted GDM incidence in a crude odds ratio. After adjusting for confounders, only dietary GI intake during the first trimester was a significant contributor towards GDM incidence; however, the association was negative (β = -0.186, OR 0.830, p = 0.035). The negative relationship could possibly be due to dietary misreporting or the invalidity of the method used in assessing dietary GI intake. Dietary GL was positively associated with GDM incidence during both trimesters, but the association was not significant. In conclusion, dietary GI significantly contributed towards GDM incidence, in addition to other established risk factors including pre-pregnancy BMI and history of GDM. However, failing to demonstrate positive links between dietary GI intake and GDM incidence was unexpected which warrants future investigation. 2016-04 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/85551/1/FPSK%28M%29%202016%2083%20ir.pdf Hasbullah, Farah Yasmin (2016) Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women. Masters thesis, Universiti Putra Malaysia. Glycemic Index Diabetes Mellitus Dietary Carbohydrates |
| spellingShingle | Glycemic Index Diabetes Mellitus Dietary Carbohydrates Hasbullah, Farah Yasmin Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title | Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title_full | Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title_fullStr | Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title_full_unstemmed | Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title_short | Calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| title_sort | calculated dietary glycemic index, glycemic load and incidence of gestational diabetes mellitus in healthy pregnant women |
| topic | Glycemic Index Diabetes Mellitus Dietary Carbohydrates |
| url | http://psasir.upm.edu.my/id/eprint/85551/ http://psasir.upm.edu.my/id/eprint/85551/1/FPSK%28M%29%202016%2083%20ir.pdf |