Lifestyle changes ineffective at reducing risk of gestational diabetes in pregnant women
Discussions
surrounding healthy weight gain during pregnancy is often neglected during
antenatal care. Too often, lifestyle factors contributing to a healthy
pregnancy weight (such as nutrition, exercise and sleep) are not
considered. Historically, women have not
been weighed during routine checkups with midwives and obstetricians.
Exacerbating the issue, ‘talking about weight’ has been described as a challenging
activity amongst professionals.
Considering
the risk of the gestational weight gain (GWG) can independently increase the
risk of developing gestational diabetes mellitus (GDM) by up to 53%,1 monitoring and discussing GWG is a critical component
of the standard healthcare plan. Sixteen percent of pregnant women will develop
GDM2 with prevalence increasing globally.3
Gestational
diabetes mellitus increases the risk of pregnancy and birth complications. Such
risks include pre-eclampsia, emergency caesarian section or having an oversized
baby.4 Women
diagnosed with GDM also have a 7 to 12 fold increased risk of developing type 2
diabetes later in life.5 Consequently, nations around the world have programs
in place to prevent excessive GWG and (potentially) GDM. The question is, which
of these is most effective?
Monash
Nutrition researcher Christie Bennett is attempting to resolve this question.
Christie, in collaboration with researchers from Monash University, The Hudson Institute
of Medical Research, Lanzhou University and Zhejiang University, conducted a systematic review and meta-analysis of
randomised controlled trials. These trials tested the interventions designed to
prevent excessive GWG and ergo, GDM. As a result, the team was able to
comprehensively evaluate the global impact of these intervention programs and examine
if the effects differed by maternal BMI or ethnicity.
Reviewing a suite of results
from randomised controlled trials (found in seven international and three
Chinese databases), results were observed in reducing the incidence of GDM.
Firstly, single behaviour interventions designed to reduce excessive GWG (in
this case diet and physical activity) were more effective than standard antenatal
care (i.e. no intervention at all). Dietary interventions reduced GDM risk by
44% and physical activity interventions reduced GDM risk by 38%. Secondly, the
combination of diet and physical activity was deemed no more efficient than
standard antenatal care. Despite the known relationship between sleep, obesity
and diabetes,6, 7 the studies included in the
analysis did not assess the influence of sleep interventions on GWG or GDM.
While sleep is an independent and modifiable risk factor for obesity and
diabetes in children and adults, we don’t know how important the sleep link is
in pregnancy.
It was found, (upon analysing data on a nation-by-nation
basis) that the efficacy of these interventions varied by geographical region.
Physical activity interventions from Southern Europe reduced
GDM risk by 37%. In contrast, diet and
lifestyle interventions conducted in Asia resulted in a 62% and 32% reduction
in GDM respectively. In regions such as America, Australia and other parts of
Europe there was no reduction in the incidence of GDM. Population groups that
are culturally homogenous such as China and Spain (with lower levels of
immigration), demonstrated consistent responses to interventions, with higher
rates of efficacy. When assessing populations in countries such as Australia or
the United States of America (which have higher levels of immigration) the
results were inconclusive. Christie suggests that these observations are
‘likely a combination of cultural behaviours and expectations as well as
genetics’.
The
greater a woman's pre-pregnancy body mass
index (BMI), the greater the risk of GDM.8 The meta-analysis confirmed that
interventions were less effective in women with a high pre-pregnancy BMI. This
may be due to potential underlying insulin resistance pre-conception (which is
compounded by normal progression of insulin resistance during pregnancy). Given
these findings, women (where appropriate) seeking to fall pregnant should
receive guidance around diet and physical activity to safely attain a healthy
BMI prior to conception.
Clinical
practice and health initiatives aimed at managing GWG and preventing GDM are
more effective when targeting a single behaviour (such as diet or exercise)
rather than a combination. When combined as
an overall lifestyle change, these interventions are no more effective in
reducing the risk of GDM. Changing habits of both physical activity and diet
simultaneously may (potentially) be too difficult when contextualised by an
overlay of physical and psychological adaptions required by being pregnant.9 Ergo, it is recommended that
practitioners should adopt a ‘women-centric’
approach. The broader context of a woman's
life should be considered when planning and providing pregnancy care. This
ensures that a women’s emotional, psychological, social, physical and cultural
well-being is considered and respected.
This
research has important implications for
clinical practice and health initiatives
in managing GWG. As this meta-analysis indicates, worldwide interventions
designed to reduce excessive GWG that target single behaviours reduce the
incidence of GDM. However, regional differences indicate that other factors
(either physiological and/or behavioural) must be taken into consideration when
planning GDM prevention strategies. Subsequently, a ‘one size fits all’
approach to GDM prevention is not supported.
As commented by
Christie, the next steps for the team will require a ‘look into ways to reduce
excessive GWG through various novel methods, such as antenatal medical team
training and resource provision’. For Christie, the relationship between GDM
and sleep will be her prime focus of interest.
Image credit: Jordan Bauer via Unsplash
More Information
This research was conducted in
collaboration with Lanzhou University and Zhejiang University.
Christie
Jane Bennett, Ruth Elizabeth Walker, Michelle Louise Blumfield, Stella-May
Gwini, Jianhua Ma, Fenglei Wang, Yi Wan, Hayley Dickinson, Helen Truby, (2018)
“Interventions designed to reduce excessive gestational weight gain can reduce
the incidence of gestational diabetes mellitus: A
systematic review and meta-analysis of randomised controlled trials”, Diabetes
Research and Clinical Practice, https://doi.org/10.1016/j.diabres.2018.04.010
Christie Bennett is a PhD Candidate
at the Monash University Department of Nutrition, Dietetics and Food. Her main
areas of research are sleep in pregnancy
and the link between gestational weight gain and glucose tolerance. You can
follow Christie on Twitter via @Bennett_CJ1.
Stay up to date with the Monash
University Department of Nutrition, Dietetics and Food on Twitter via @MonashNutrition.
References
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- Ferrara A. Increasing prevalence of gestational diabetes mellitus: a public health perspective. Diabetes Care. 2007;30(Supplement 2):S141-S6.
- Waters TP, Dyer AR, Scholtens DM, Dooley SL, Herer E, Lowe LP, et al. Maternal and neonatal morbidity for women who would be added to the diagnosis of GDM using IADPSG criteria: a secondary analysis of the hyperglycemia and adverse pregnancy outcome study. Diabetes Care. 2016:dc161194.
- Bellamy L, Casas J-P, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. The Lancet. 2009;373(9677):1773-9.
- Cappuccio FP, D'elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2010;33(2):414-20.
- Cappuccio FP, Taggart FM, Kandala N-B, Currie A, Peile E, Stranges S, et al. Meta-analysis of short sleep duration and obesity in children and adults. Sleep. 2008;31(5):619-26.
- Shin D, Song WO. Prepregnancy body mass index is an independent risk factor for gestational hypertension, gestational diabetes, preterm labor, and small-and large-for-gestational-age infants. The Journal of Maternal-Fetal & Neonatal Medicine. 2015;28(14):1679-86.
- Poston L, Briley AL, Barr S, Bell R, Croker H, Coxon K, et al. Developing a complex intervention for diet and activity behaviour change in obese pregnant women (the UPBEAT trial); assessment of behavioural change and process evaluation in a pilot randomised controlled trial. BMC Pregnancy and Childbirth. 2013;13(1):148.