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Acta Diabetologica

, Volume 56, Issue 7, pp 723–728 | Cite as

Maternal height and risk of gestational diabetes: a systematic review and meta-analysis

  • Ahmed Arafa
  • Jia-Yi DongEmail author
Review Article
  • 28 Downloads
Part of the following topical collections:
  1. Pregnancy and diabetes

Abstract

Aims

Identifying women at high risk of developing gestational diabetes mellitus (GDM) is a public health interest. This study aims to investigate the association between maternal height and risk of GDM through meta-analysis.

Methods

We retrieved the studies that assessed maternal height in relation to GDM. Pooled risk estimates of the included articles and their 95% confidence intervals (95% CIs) were calculated using a fixed- or random-effects model. Subgroup analyses were conducted according to study design and study location. Quality of studies was determined using the Newcastle–Ottawa Scale. Publication bias was detected using the Egger’s and Begg’s tests.

Results

A total of 10 studies including 7 cohort and 3 cross-sectional studies with a total of 126,094 women were included for meta-analysis. Combined, each 5-cm increase in height was associated with about 20% reduction in risk of GDM [pooled odds ratio = 0.80, (95% CI 0.76, 0.85)]. The analysis revealed high heterogeneity between studies which dissolved after subgroup analysis by study design. This significant association did not differ between Asian and non-Asian populations. Egger’s and Begg’s tests showed little evidence of publication bias.

Conclusions

The present meta-analysis supports the conception that short stature is associated with GDM. Further studies of high quality are needed to confirm the findings.

Keywords

Height Stature Gestational diabetes Meta-analysis 

Notes

Author contributions

AA collected the data, analyzed the data, and wrote the manuscript. JYD designed the study, collected the data, analyzed the data, conducted the technique review, and reviewed and edited the manuscript. JYD is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Funding

This work was partly supported by Japan Society for the Promotion of Science KAKENHI Grant Numbers A18H063910 and T19K214700. Role of the Funder: The funder had no role in the conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript findings.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Statement of human and animal rights

This article does not contain any studies with human or animal subjects performed by the any of the authors.

Informed consent

For this type of study informed consent is not required.

References

  1. 1.
    Kampmann U, Madsen LR, Skajaa GO, Iversen DS, Moeller N, Ovesen P (2015) Gestational diabetes: a clinical update. World J Diabetes 6(8):1065–1072.  https://doi.org/10.4239/wjd.v6.i8.1065 CrossRefGoogle Scholar
  2. 2.
    Buchanan TA, Xiang AH, Page KA (2012) Gestational diabetes mellitus: risks and management during and after pregnancy. Nat Rev Endocrinol 8(11):639–649.  https://doi.org/10.1038/nrendo.2012.96 CrossRefGoogle Scholar
  3. 3.
    Bellamy L, Casas JP, Hingorani AD, Williams D (2009) Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet (London, England) 373(9677):1773–1779.  https://doi.org/10.1016/s0140-6736(09)60731-5 CrossRefGoogle Scholar
  4. 4.
    Li J, Song C, Li C, Liu P, Sun Z, Yang X (2018) Increased risk of cardiovascular disease in women with prior gestational diabetes: A systematic review and meta-analysis. Diabetes Res Clin Pract 140:324–338.  https://doi.org/10.1016/j.diabres.2018.03.054 CrossRefGoogle Scholar
  5. 5.
    McKenzie-Sampson S, Paradis G, Healy-Profitos J, St-Pierre F, Auger N (2018) Gestational diabetes and risk of cardiovascular disease up to 25 years after pregnancy: a retrospective cohort study. Acta Diabetol 55(4):315–322.  https://doi.org/10.1007/s00592-017-1099-2 CrossRefGoogle Scholar
  6. 6.
    Boerschmann H, Pfluger M, Henneberger L, Ziegler AG, Hummel S (2010) Prevalence and predictors of overweight and insulin resistance in offspring of mothers with gestational diabetes mellitus. Diabetes Care 33(8):1845–1849.  https://doi.org/10.2337/dc10-0139 CrossRefGoogle Scholar
  7. 7.
    Maftei O, Whitrow MJ, Davies MJ, Giles LC, Owens JA, Moore VM (2015) Maternal body size prior to pregnancy, gestational diabetes and weight gain: associations with insulin resistance in children at 9-10 years. Diabetic Med 32(2):174–180.  https://doi.org/10.1111/dme.12637 CrossRefGoogle Scholar
  8. 8.
    Ali AD, Mehrass AA, Al-Adhroey AH, Al-Shammakh AA, Amran AA (2016) Prevalence and risk factors of gestational diabetes mellitus in Yemen. Int J women’s Health 8:35–41.  https://doi.org/10.2147/ijwh.s97502 CrossRefGoogle Scholar
  9. 9.
    Anastasiou E, Alevizaki M, Grigorakis SJ, Philippou G, Kyprianou M, Souvatzoglou A (1998) Decreased stature in gestational diabetes mellitus. Diabetologia 41(9):997–1001.  https://doi.org/10.1007/s001250051022 CrossRefGoogle Scholar
  10. 10.
    Jang HC, Min HK, Lee HK, Cho NH, Metzger BE (1998) Short stature in Korean women: a contribution to the multifactorial predisposition to gestational diabetes mellitus. Diabetologia 41(7):778–783.  https://doi.org/10.1007/s001250050987 CrossRefGoogle Scholar
  11. 11.
    Branchtein L, Schmidt MI, Matos MC, Yamashita T, Pousada JM, Duncan BB (2000) Short stature and gestational diabetes in Brazil. Brazilian Gestational Diabetes Study Group. Diabetologia 43(7):848–851CrossRefGoogle Scholar
  12. 12.
    Yang X, Hsu-Hage B, Zhang H et al (2002) Gestational diabetes mellitus in women of single gravidity in Tianjin City, China. Diabetes Care 25(5):847–851CrossRefGoogle Scholar
  13. 13.
    Rudra CB, Sorensen TK, Leisenring WM, Dashow E, Williams MA (2007) Weight characteristics and height in relation to risk of gestational diabetes mellitus. Am J Epidemiol 165(3):302–308.  https://doi.org/10.1093/aje/kwk007 CrossRefGoogle Scholar
  14. 14.
    Ogonowski J, Miazgowski T (2010) Are short women at risk for gestational diabetes mellitus? Eur J Endocrinol 162(3):491–497.  https://doi.org/10.1530/eje-09-0992 CrossRefGoogle Scholar
  15. 15.
    Brite J, Shiroma EJ, Bowers K, Yeung E, Laughon SK, Grewal JG, Zhang C (2014) Height and the risk of gestational diabetes: variations by race/ethnicity. Diabetic Med 31(3):332–340.  https://doi.org/10.1111/dme.12355 CrossRefGoogle Scholar
  16. 16.
    Syngelaki A, Pastides A, Kotecha R, Wright A, Akolekar R, Nicolaides KH (2015) First-trimester screening for gestational diabetes mellitus based on maternal characteristics and history. Fetal Diagn Therapy 38(1):14–21.  https://doi.org/10.1159/000369970 CrossRefGoogle Scholar
  17. 17.
    Li H, Song L, Shen L et al (2018) Height and risk of gestational diabetes mellitus: results from the healthy baby cohort study. J Diabetes Res 2018:4679245.  https://doi.org/10.1155/2018/4679245 Google Scholar
  18. 18.
    Li J, Wang P, Zhang C et al (2018) Short body height and pre-pregnancy overweight for increased risk of gestational diabetes mellitus: a population-based cohort study. Front Endocrinol 9:349.  https://doi.org/10.3389/fendo.2018.00349 CrossRefGoogle Scholar
  19. 19.
    Mendoza LC, Harreiter J, Simmons D et al (2018) Risk factors for hyperglycemia in pregnancy in the DALI study differ by period of pregnancy and OGTT time point. Eur J Endocrinol 179(1):39–49.  https://doi.org/10.1530/eje-18-0003 CrossRefGoogle Scholar
  20. 20.
    Stroup DF, Berlin JA, Morton SC et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of observational studies in epidemiology (MOOSE) group. JAMA 283(15):2008–2012CrossRefGoogle Scholar
  21. 21.
    Moher D, Liberati A, Tetzlaff J, Altman DG, Group P (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ (Clinical research ed) 339:b2535.  https://doi.org/10.1136/bmj.b2535 CrossRefGoogle Scholar
  22. 22.
    Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ (Clinical research ed) 327(7414):557–560.  https://doi.org/10.1136/bmj.327.7414.557 CrossRefGoogle Scholar
  23. 23.
    DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188CrossRefGoogle Scholar
  24. 24.
    Begg CB, Mazumdar M (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics 50(4):1088–1101CrossRefGoogle Scholar
  25. 25.
    Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ (Clinical research ed) 315(7109):629–634CrossRefGoogle Scholar
  26. 26.
    Janghorbani M, Momeni F, Dehghani M (2012) Hip circumference, height and risk of type 2 diabetes: systematic review and meta-analysis. Obes Rev 13(12):1172–1181.  https://doi.org/10.1111/j.1467-789X.2012.01030.x CrossRefGoogle Scholar
  27. 27.
    Nuesch E, Dale C, Palmer TM et al (2016) Adult height, coronary heart disease and stroke: a multi-locus Mendelian randomization meta-analysis. Int J Epidemiol 45(6):1927–1937.  https://doi.org/10.1093/ije/dyv074 CrossRefGoogle Scholar
  28. 28.
    Zhou W, Li Y, Liu X et al (2019) Sex-specific relationship between adult height and the risk of stroke: a dose–response meta-analysis of prospective studies. J Clin Hypertens (Greenwich, Conn) 21(2):262–270.  https://doi.org/10.1111/jch.13458 CrossRefGoogle Scholar
  29. 29.
    Yeung EH, Hu FB, Solomon CG et al (2010) Life-course weight characteristics and the risk of gestational diabetes. Diabetologia 53(4):668–678.  https://doi.org/10.1007/s00125-009-1634-y CrossRefGoogle Scholar
  30. 30.
    Wang Z, Rowley K, Wang Z, Piers L, O’Dea K (2007) Anthropometric indices and their relationship with diabetes, hypertension and dyslipidemia in Australian Aboriginal people and Torres Strait Islanders. Eur J Cardiovasc Prev Rehabil 14(2):172–178.  https://doi.org/10.1097/01.hjr.0000220580.34763.fb CrossRefGoogle Scholar
  31. 31.
    Barros AJ, Victora CG, Horta BL, Goncalves HD, Lima RC, Lynch J (2006) Effects of socioeconomic change from birth to early adulthood on height and overweight. Int J Epidemiol 35(5):1233–1238.  https://doi.org/10.1093/ije/dyl160 CrossRefGoogle Scholar
  32. 32.
    Tsenkova V, Pudrovska T, Karlamangla A (2014) Childhood socioeconomic disadvantage and prediabetes and diabetes in later life: a study of biopsychosocial pathways. Psychosom Med 76(8):622–628.  https://doi.org/10.1097/psy.0000000000000106 CrossRefGoogle Scholar
  33. 33.
    Asao K, Kao WH, Baptiste-Roberts K, Bandeen-Roche K, Erlinger TP, Brancati FL (2006) Short stature and the risk of adiposity, insulin resistance, and type 2 diabetes in middle age: the Third National Health and Nutrition Examination Survey (NHANES III), 1988–1994. Diabetes Care 29(7):1632–1637.  https://doi.org/10.2337/dc05-1997 CrossRefGoogle Scholar
  34. 34.
    Bosy-Westphal A, Plachta-Danielzik S, Dorhofer RP, Muller MJ (2009) Short stature and obesity: positive association in adults but inverse association in children and adolescents. Br J Nutr 102(3):453–461.  https://doi.org/10.1017/S0007114508190304 CrossRefGoogle Scholar
  35. 35.
    Vaessen N, Heutink P, Janssen JA et al (2001) A polymorphism in the gene for IGF-I: functional properties and risk for type 2 diabetes and myocardial infarction. Diabetes 50(3):637–642CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia S.r.l., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Public Health, Department of Social MedicineOsaka University Graduate School of MedicineSuitaJapan
  2. 2.Department of Public Health, Faculty of MedicineBeni-Suef UniversityBeni SuefEgypt

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