Diet Habit, Gestational Diabetes, Weight Loss
Conditions
Keywords
Prevention, Smartphone application, Randomized control trial
Brief summary
Gestational diabetes (GDM) complicates about 20% of pregnancies in Singapore. These women are at high risk of developing type 2 diabetes years after pregnancy; seven times more likely than normal. Achieving a healthy weight post-delivery is key to reduce the risk of future diabetes. This study, from a multidisciplinary team, intends to create a unique seamless care model to restore optimal weight post-delivery in women with recent GDM. The innovation examined in this randomized control trial is an INTERACTIVE SMARTPHONE APP. The APP monitors weight, dietary habits, and exercise activity patterns, gives feedback, and provides practical personalized lifestyle coaching that is culturally appropriate and customized to the Singapore context. If efficacy is confirmed in this RCT, the APP can be easily scaled up as a cost-effective way to potentially prevent or delay the onset of type 2 diabetes in Singaporean women. Additionally, measurement of markers of cardiometabolic risk will give indications on future cardiovascular health, utilizing an underused opportunity to improve women's health.
Detailed description
About 20% of pregnant Singaporean women are diagnosed with gestational diabetes (GDM), defined as the onset of glucose intolerance that is first recognized in pregnancy. These women are at seven times higher risk of developing type 2 diabetes in the future. About 20 - 50% of women who were diagnosed with GDM during their pregnancies eventually develop type 2 diabetes, with resultant huge health care costs for Singapore and other countries globally. The Diabetes Prevention Program Study has shown that lifestyle changes resulting in modest weight loss are effective in preventing type 2 diabetes in women with a history of GDM. The investigators estimate that about 50% of all type 2 diabetes in women in Singapore occurs when they have a history of GDM and represent a sizeable subpopulation where primary prevention could have a highly significant national impact. Preliminary data indicates that after birth, women with GDM are overwhelmed with care for the newborn and tend to neglect their own health needs. They welcome reminders and coaching but are time-challenged and cannot attend regular on-site lifestyle coaching sessions. Hypothesis: 1. Use of an INTERACTIVE SMARTPHONE APP that can track weight, diet and activity linked to an interactive lifestyle coaching intervention can restore optimal weight in women with recent GDM. The team hypothesizes that at 4 months post-delivery, participants in the intervention arm will have significantly higher probability of returning to weight at the start of pregnancy, a significantly improved cardiometabolic status and overall lower risk profile for type 2 diabetes development compared with those receiving standard care (control). 2. The use of this INTERACTIVE SMARTPHONE APP is cost-effective from the perspective of the Singapore healthcare system. Aims: 1. To conduct a randomized control trial to examine the efficacy of an INTERACTIVE SMARTPHONE APP, customized for Singaporean women with recent GDM, in optimizing post-delivery weight and metabolic profiles compared with standard care. Primary outcome: * Restoration of booking weight if previous booking BMI ≤ 23 * Weight loss of 5% with respect to booking weight if BMI \> 23 Secondary outcomes: \- Improved cardiometabolic and inflammatory markers: fasting and 2h post-glucose load plasma glucose in an oral glucose tolerance test, HbA1C, advanced glycation end-products, C-peptide, HOMA-IR, lipid profile, liver function, hsCRP, IL-6. 2. Evaluate the relative cost-effectiveness of this INTERACTIVE SMARTPHONE APP compared to standard care within the Singapore healthcare system in terms of improvements in quality of life, feasibility, acceptability, scalability and sustainability.
Interventions
DEVICEInteractive Smartphone App
There are six main components to the APP. * Goal Setting: personalizes diet, activity, and weight loss goals for patients based on their starting point. * Food choices and recommendations: App has an automated and immediate recommendation of foods if the choice selected from food database is not optimal. It has a calorie and nutrients tracker to enable patients to track their food intake. * Activity and steps tracker: App has a pedometer to count physical activity and steps to enable patients to track their progress towards goals. * Interactive video lessons: App has video lessons pushed weekly to the patient according to her needs. The videos encompass aspects of diet, lifestyle and behavior management. * Healthcare Professionals Support: App has a chat channel to enable interaction between participants and healthcare professionals.
Sponsors
National University Hospital, Singapore
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE
Masking description
The subjects who participate in the study may be seeing the doctors or allied health professionals involved in this study at the clinic. However, recruitment will not be done by them though they will help to improve the awareness of such a study to their patients. There will be no coercion involved as the subjects have the full autonomy to decide if they wish to participate.
Intervention model description
A prospective Randomized Control Trial will be conducted to compare an INTERACTIVE SMARTPHONE APP versus STANDARD care to optimize post-delivery weight in women with recent GDM. The aim is to reduce diabetes and cardiometabolic risk. During the antenatal period, subjects will be informed about the study during regular NUH nurse-led dietary counseling sessions. After delivery, women will be offered the opportunity to join the study. Informed consent will be obtained before discharge from hospital post-delivery. An appointment will be given for the first study visit at 6 weeks post-delivery.
Eligibility
Sex/Gender
FEMALE
Age
21 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Female aged 21 years and above * Plans to deliver in NUH * Diagnosed with GDM antenatally (between 24-34 weeks gestation) defined using the 2013 World Health Organization criteria (fasting plasma glucose = 5.1 mmol/L, plasma glucose at 1H \<10 or plasma glucose at 2H post 75gm glucose load of =8.5 mmol/L) * Has a smartphone and able to independently use a smartphone app * Willing to provide a blood sample * Able to give written informed consent * Able to speak and read English
Exclusion criteria
* Subjects with type 1 and/or type 2 diabetes (including suspected cases diagnosed by an abnormal oral glucose tolerance test in the 1st and early 2nd trimesters of pregnancy) * drugs that affect glucose or lipid metabolism (e.g. systemic steroids, metformin, insulin, statins, orlistat) * terminal or life threatening condition * physical or mental condition that would prevent completion of a majority of study instruments.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Weight at 4 months post-delivery | 4 months | Satisfactory weight is defined as return to weight at first booking visit (during 1st trimester) if booking BMI ≤23. If the booking weight is high (BMI\>23), the goal would be return to weight that is 5% lower than booking weight. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Dietary assessment | 4 months | Food Diary over 3 days to monitor the calorie intake and eating habits of the subject. |
| Subject's Self Efficacy to Regulate Exercise | 4 months | The scale is devised by Bandura, and participants have to rate their degree of confidence in performing the described situations with a number from 0 to 100. The higher the value, the greater confidence the subject has in doing the activity. |
| Subject's Self Efficacy to Regulate Eating Habits | 4 months | The scale is devised by Bandura, and participants have to rate their degree of confidence in performing the described situations with a number from 0 to 100. The higher the value, the greater confidence the subject has in doing the activity. |
| Subject's response to the research study using the Health Education Impact Questionnaire | 4 months | A comparison between subjects' responses in the control and intervention arm, through a series of questions with 4 options - strongly disagree, disagree, agree, or strongly agree. |
| Markers predictive of future type 2 diabetes and cardiometabolic risk | 4 months | Fasting and 2h post-glucose load plasma glucose in an oral glucose tolerance test, HbA1C, advanced glycation end-products, C-peptide, HOMA IR, lipid profile, liver function; and inflammatory risk: hsCRP, IL-6 |
| Subjects' health expenditure | 4 months | A comparison between subjects' expenditure in the control and intervention arm, to find out the cost effectiveness of the study. Bill sizes and monetary expenditure (in dollars) will be calculated for every individual to find the amount she has spent on healthcare postnatally, due to GDM in her pregnancy. |
| DNA | 4 months | DNA will be extracted and stored for future gene association studies with respect to type 2 diabetes susceptibility loci. |
| Breastfeeding Status | 4 months | Patients will be categorised into fully, partial or no breastfeeding |
| Subject's medical outcomes assessed through RAND-12 Item Health Survey | 4 months | A comparison between subjects' responses in the control and intervention arm, through a series of questions about how she feels regarding aspects of her health and life. Questions are all multiple choice questions. |
Countries
Singapore
Outcome results
None listed