TITLE:
Association between Anthropometry and Gestational Diabetes Mellitus
AUTHORS:
Thusitha Nandana Bodhinarayana, Madhava Karunarathne
KEYWORDS:
Anthropometry, Gestational Diabetes, Predictions
JOURNAL NAME:
Open Journal of Obstetrics and Gynecology,
Vol.13 No.3,
March
29,
2023
ABSTRACT: Introduction: The predictive value of various anthropometric
indicators for identifying benefits or risksfor maternal health outcomes of pregnancy is discussed
around the globe. Anthropometric measurements can be a cost effective, efficient method of
screening for gestational diabetes mellitus (GDM) especially, in developing countries with low-cost health care
settings. Objectives: To determine a relationship between
anthropometric measurements and GDM and to assess the importance/suitability of
an anthropometric measurement in predicting GDM. Methods: A
correlational study with the evaluation of diagnostic test accuracy was
conducted among 48 pregnant women at period of amenorrhoea (POA) of 26 - 34 weeks of gestation. The obstetrics ward and the antenatal clinic of Peradeniya teaching hospital was the study setting.
Systematic random sampling technique was used for participant selection.
Singleton pregnancies with Body Mass Index (BMI) less than 30.0 kg/m2 were included. Women with
pre-existing diabetes and medical disorders were excluded. Mid arm circumference (MAC), tricipital skin fold
thickness (TSFT), bicipital skin fold thickness (BSFT) were measured according to the National Health and Nutrition
Examination Survey (NHANES) anthropometry manual. An
interviewer-administered questionnaire was applied to collect the data. Data
was evaluated in accordance with the objectives by using SPSS version 25. Results: Mean age of the participants was 29.67 years (SD = 4.76 years). Mean height and weight of the study
participants were 154.93 cm and 67.45 kg respectively. Mean BMI value was recorded as 28.13 kgm2. Mean mid arm circumference was 9.43 cm. According to the multivariate analysis done by using
logistic regression, calculated TSFT and BSFT values were independently
associated with GDM in the population. Successful prediction can be
achieved by using the BMI and the body weight (AUC 0.5). 24.8 kg/m2 is taken as
the best cut off value to predict GDM (Sn = 79.2; Sp = 29.2). Best cut off value for body
weight appears as 60 kg (Sn = 79.2; Sp = 32.3) and the best cut off value for height is 150 cm (Sn = 80.0; Sp = 25.0). When the predictive variables are compared
with each other, highest predictive ability was recorded by the body
mass index (AUC = 0.632). Predictability of TFT and
BSFT appeared significant. 27.0 cm can be considered as the most accurate cut
off value of MAC (Sn = 80; Sp = 30). Best cut off values for BSFT and TSFT were 22 mm (Sn = 80; Sp = 60) and 10.5 mm (Sn = 83.3; Sp