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Optimizing Gestational Weight Gain for Prevention of Gestational Diabetes Mellitus in Malaysia

U

University of Putra Malaysia (UPM)

Status

Not yet enrolling

Conditions

Pregnant Women

Treatments

Behavioral: A web/smartphone-based lifestyle program package

Study type

Interventional

Funder types

Other

Identifiers

NCT05489536
UPM19062022

Details and patient eligibility

About

Gestational weight gain (GWG) has been closely related to health outcomes, particularly in gestational diabetes mellitus (GDM). Pregnant women may be particularly motivated to make healthy lifestyle changes. Previous studies showed that lifestyle modification interventions (diet and exercise) may be successful in reducing GWG in high-risk women but their effects on the incidence of GDM and other adverse perinatal outcomes have been limited. The research question for the future full randomized trial is whether an optimizing healthy GWG programme focusing on lifestyle (diet and physical activity) feasible to decrease the risk of GDM in a developing country. Thus, this study aims to evaluate the effectiveness of a web/smartphone-based lifestyle program in optimizing gestational weight gain (GWG) to prevent the incidence of GDM.

Full description

General objective: To determine the effectiveness of a web/smartphone-based lifestyle program on optimizing gestational weight gain (GWG) to prevent the incidence of GDM.

Specific objectives:

  1. To compare changes in the primary outcome (incidence of GDM) between pregnant mothers receiving web/smartphone-based lifestyle program (i.e. intervention group) and pregnant mothers not receiving web/smartphone-based lifestyle program (i.e. control group).
  2. To compare changes in the secondary outcomes (GWG, dietary intake and physical activity) between pregnant mothers receiving web/smartphone-based lifestyle program (i.e. intervention group) and pregnant mothers not receiving web/smartphone-based lifestyle program (i.e. control group).

Study location: A total of nine (9) states are randomly selected to represent the Northern, Southern, East Coast and central regions of Peninsular Malaysia. The states are then randomly assigned to either the intervention states or control states. All maternal and child health (MCH) clinics in the top five highest populated districts are purposively selected.

Study design: This is a cluster-randomized, controlled trial (RCT), whereby states as clusters and will be randomly allocated into either intervention or control group. All pregnant women in each cluster will be included in the study.

Enrollment

20,000 estimated patients

Sex

Female

Ages

18 to 50 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Malaysian women
  • At any trimester of pregnancy
  • All ethnicities (Malays, Chinese or Indians)
  • With or without diseases (diabetes mellitus with/ without insulin, hypertension, dyslipidaemia, overweight/ obese)

Exclusion criteria

  • Medical diagnosis with major psychiatric problems (bipolar depression, schizophrenia, suicidal risk)
  • Severe comorbidities (eg cardiac diseases, kidney diseases severe anemia) that require specific interventions

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

20,000 participants in 2 patient groups

A Web/smartphone-based Lifestyle Program Intervention Group
Experimental group
Description:
As this study is designed specifically to isolate the effect of introducing the web/app into the existing care pathway, the intervention group will receive standard prenatal care provided by health clinics and the web/smartphone app.
Treatment:
Behavioral: A web/smartphone-based lifestyle program package
Control Group
No Intervention group
Description:
A standard usual prenatal care includes ten clinic visits for routine pregnancy checks (weight gain, iron status, blood pressure, fasting blood glucose etc.)

Trial contacts and locations

9

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Central trial contact

Yoke Mun Chan, PhD; Zalilah Mohd Shariff, PhD

Data sourced from clinicaltrials.gov

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