Trial reportTrials2016
A complex behavioural change intervention to reduce the risk of diabetes and prediabetes in the pre-conception period in Malaysia: study protocol for a randomised controlled trial.
Trial report in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02617693 (Jom Mama Project - Pre-pregnancy Intervention to Reduce the Risk of Diabetes and Prediabetes), which is not on this map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Jom Mama Project - Pre-pregnancy Intervention to Reduce the Risk of Diabetes and Prediabetes
Who cites it
13 citing papers in PubMed, 33 citations in OpenAlex.
- Acceptability and feasibility of a planned preconception weight loss intervention in women with long-acting reversible contraception: the Plan-it mixed-methods study.Health technology assessment (Winchester, England) · 2023Trial
- Effectiveness of a complex, pre-conception intervention to reduce the risk of diabetes by reducing adiposity in young adults in Malaysia: The Jom Mama project - A randomised controlled trial.Journal of global health · 2022Trial
- Trial
- Pre-pregnancy community-based intervention for couples in Malaysia: application of intervention mapping.BMC public health · 2016Trial
- Lifestyle Modifications Prior to Pregnancy and Their Impact on Maternal and Perinatal Outcomes: A Review.Journal of clinical medicine · 2025Review
- The role of e-health on the public knowledge and behavior in preventing COVID-19.Informatics in medicine unlocked · 2023Article
- The acceptability of asking women to delay removal of a long-acting reversible contraceptive to take part in a preconception weight loss programme: a mixed methods study using qualitative and routine data (Plan-it).BMC pregnancy and childbirth · 2022Article
- Healthy for My Baby Research Protocol- a Randomized Controlled Trial Assessing a Preconception Intervention to Improve the Lifestyle of Overweight Women and Their Partners.Frontiers in public health · 2021Article
- Pilot implementation ofSAGE open medicine · 2020Article
- Urban young women's preferences for intervention strategies to promote physical and mental health preconception: A Healthy Life Trajectories Initiative (HeLTI).Preventive medicine reports · 2019Article
- Mobile Health Solutions for Hypertensive Disorders in Pregnancy: Scoping Literature Review.JMIR mHealth and uHealth · 2018Article
- Functionality, Implementation, Impact, and the Role of Health Literacy in Mobile Phone Apps for Gestational Diabetes: Scoping Review.JMIR diabetes · 2017Article
- Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review.Advances in nutrition (Bethesda, Md.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past two decades, the population of Malaysia has grown rapidly and the prevalence of diabetes mellitus in Malaysia has dramatically increased, along with the frequency of obesity, hyperlipidaemia and hypertension. Early-life influences play an important role in the development of non-communicable diseases. Indeed, maternal lifestyle and conditions such as gestational diabetes mellitus or obesity can affect the risk of diabetes in the next generation. Lifestyle changes can help to prevent the development of type 2 diabetes mellitus. This is a protocol for an unblinded, community-based, randomised controlled trial in two arms to evaluate the efficacy of a complex behavioural change intervention, combining motivational interviewing provided by a community health promoter and access to a habit formation mobile application, among young Malaysian women and their spouses prior to pregnancy. METHOD/
designEligible subjects will be Malaysian women in the age group 20 to 39 years, who are nulliparous, not diagnosed with diabetes and own a smartphone. With an alpha-value of 0.05, a statistical power of 90 %, 264 subjects will need to complete the study. Subjects with their spouses will be randomised to either the intervention or the control arm for an 8-month period. The primary endpoint is change in waist circumference from baseline to end of intervention period and secondary endpoints are changes in anthropometric parameters, biochemical parameters, change in health literacy level, dietary habits, physical activity and stress level. Primary endpoint and the continuous secondary endpoints will be analysed in a linear regression model, whereas secondary endpoints on an ordinal scale will be analysed by using the chi-squared test. A multivariate linear model for the primary endpoint will be undertaken to account for potential confounders. This study has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (protocol number: NMRR-14-904-21963) on 21 September 2015. DISCUSSION: This study protocol describes the first community-based randomised controlled trial, to examine the efficacy of a complex intervention in improving the pre-pregnancy health of young Malaysian women and their spouses. Results from this trial will contribute to improve policy and practices regarding complex behavioural change interventions to prevent diabetes in the pre-conception period in Malaysia and other low- and middle-income country settings.
trial registrationThis trial is registered with ClinicalTrials.gov (www.clinicaltrials.gov) on 30 November 2015, Identifier: NCT02617693 .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.