Literature DB >> 2209319

Effects of childbearing on glucose tolerance and NIDDM prevalence.

E J Boyko1, B W Alderman, E M Keane, A E Baron.   

Abstract

The goal of this study was to estimate the effects of childbearing on subsequent glucose tolerance and non-insulin-dependent diabetes mellitus (NIDDM) prevalence. A sample of subjects from 64 different locations in the United States were recruited for inclusion in the Second National Health and Nutrition Examination Survey. A complex survey design was used to select a probability sample of subjects from each location. A total of 4577 women were recruited, of whom 3057 underwent clinical and laboratory evaluation for the presence of diabetes mellitus. Women were classified as to their glucose tolerance based on the results of an oral glucose tolerance test or previous physician diagnosis of diabetes mellitus combined with current use of hypoglycemic medication. Childbearing was defined as number of live births experienced by each woman at the time of the interview. Fasting plasma glucose increased linearly with increasing number of live births (coefficient 0.009, 95% confidence interval [CI] 0.006-0.012), as did the 2-h value (coefficient 0.015, 95% CI 0.009-0.021). Adjustment for age, body mass index (BMI), education, and income substantially reduced the magnitude of the association between childbearing and either plasma glucose measurement. When the prevalence of NIDDM in relation to childbearing was examined with logistic regression analysis, a significant linear increase in diabetes prevalence was seen with increasing number of live births (relative prevalence of NIDDM, 1 birth vs. 0 = 1.73, 95% CI 1.39-2.15), but adjustment for age, BMI, education, and income greatly reduced the magnitude of this association (relative prevalence of NIDDM, 1 birth vs. 0 = 1.07, 95% CI 0.98-1.17).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1990        PMID: 2209319     DOI: 10.2337/diacare.13.8.848

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  7 in total

1.  Is grand multiparity associated with an increased risk of dysglycaemia?

Authors:  D Simmons; J Shaw; A McKenzie; S Eaton; A J Cameron; P Zimmet
Journal:  Diabetologia       Date:  2006-05-11       Impact factor: 10.122

2.  Higher parity is associated with an increased risk of type-II diabetes in Chinese women: the Singapore Chinese Health Study.

Authors:  N T Mueller; N J Mueller; A O Odegaard; M D Gross; W P Koh; J M Yuan; M A Pereira
Journal:  BJOG       Date:  2013-06-21       Impact factor: 6.531

3.  Parity and type 2 diabetes mellitus: a study of insulin resistance and β-cell function in women with multiple pregnancies.

Authors:  Ditte Smed Iversen; Julie Støy; Ulla Kampmann; Thomas Schmidt Voss; Lene Ring Madsen; Niels Møller; Per Glud Ovesen
Journal:  BMJ Open Diabetes Res Care       Date:  2016-08-25

4.  Gestational Diabetes Mellitus Knowledge Assessment among Saudi Women.

Authors:  Ahmad S Alharthi; Khalid A Althobaiti; Khaled A Alswat
Journal:  Open Access Maced J Med Sci       Date:  2018-08-19

5.  Awareness of gestational diabetes mellitus foetal-maternal risks: an Italian cohort study on pregnant women.

Authors:  Paola Quaresima; Federica Visconti; Fabiana Interlandi; Luigi Puccio; Patrizia Caroleo; Giuseppina Amendola; Michele Morelli; Roberta Venturella; Costantino Di Carlo
Journal:  BMC Pregnancy Childbirth       Date:  2021-10-09       Impact factor: 3.007

6.  Gestational diabetes and the incidence of diabetes in the 5 years following the index pregnancy in South Indian women.

Authors:  Ghattu V Krishnaveni; Jacqueline C Hill; Sargoor R Veena; Suguna Geetha; Magudilu N Jayakumar; Chitra L S Karat; Caroline H D Fall
Journal:  Diabetes Res Clin Pract       Date:  2007-07-20       Impact factor: 5.602

7.  Parity and the risk of diabetes mellitus among Chinese women: a cross-sectional evidence from the Tongji-Dongfeng cohort study.

Authors:  Yaohua Tian; Lijun Shen; Jing Wu; Weihong Chen; Jing Yuan; Handong Yang; Youjie Wang; Yuan Liang; Tangchun Wu
Journal:  PLoS One       Date:  2014-08-08       Impact factor: 3.240

  7 in total

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