Evaluation of Planetary Health Diet Recommendation Using Mobile Application in Adults
Validation and Effect of the Eats-Up 3.0 Mobile Application With Features of a Balanced and Sustainable Nutrition Diet Recommendation, Healthy Lifestyle, Assessment of Diet Quality and Greenhouse Gas Emission in Adults
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Rina Agustina, PhD
- Phone Number: 201052 +622129189160
- Email: r.agustina@ui.ac.id
Study Contact Backup
- Name: Rahyussalim Rahyussalim, PhD
- Phone Number: 201908 +622129189160
- Email: manajer.riset.fkui1@gmail.com
Study Locations
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DKI Jakarta
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Jakarta Pusat, DKI Jakarta, Indonesia, 10430
- Department of Nutrition (FKUI-RSCM); and Human Nutrition Research Center, Indonesian Medical Education Research Institute (HNRC-IMERI) Faculty of Medicine, Universitas Indonesia
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 19 - 60 years old
- Female/male
- Domiciled in DKI Jakarta
- Body Mass Index of more than 23
- Having android mobile phone and internet connection
- Having time to participate in the research
- Consists of ordinary adults and health professionals aged 19-65 years in DKI Jakarta
Exclusion Criteria:
- Illiterate
- Breastfeeding mother
- Pregnant women
- Undergoing specific diet program
- Undergoing specific medications related to body weight
- Consuming drugs
- Planning to move residence during the 6 months of the study period
- Not willing to sign informed consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Intervention
90 overweight/obese adults will be given counseling on planetary health diet, calorie restriction diet, and healthy lifestyle materials through a mobile app within 6 months
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Counselling on planetary healthy diet, calorie restriction diet, and healthy lifestyle through mobile application
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Placebo Comparator: Control
90 overweight/obese adults will be given counseling on balanced nutrition diet, calorie restriction diet, and healthy lifestyle materials through a mobile app within 6 months
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Counselling on balanced nutrition diet, calorie restriction diet, and healthy lifestyle materials through mobile app
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Body Mass Index (BMI)
Time Frame: 9, 17, and 24 weeks
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change in Body Mass Index (BMI) obtained from anthropometric measurements (weight (kilograms) and height (meters) converted to Body Mass Index (BMI) score)
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9, 17, and 24 weeks
|
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Waist circumference
Time Frame: 9, 17, and 24 weeks
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Change in waist circumference obtained from anthropometric measurements.
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9, 17, and 24 weeks
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Systolic blood pressure
Time Frame: 9, 17, 24 weeks
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change in systolic and diastolic blood pressure obtained from blood pressure measurements using calibrated Sphygmomanometer.
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9, 17, 24 weeks
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Diastolic blood preassure
Time Frame: 9, 17, 24 weeks
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Change in diastolic blood pressure obtained from blood pressure measurements using calibrated sphygmomanometer
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9, 17, 24 weeks
|
|
Diet Quality
Time Frame: 9, 17, and 24 weeks
|
change in diet quality score assessed by Healthy Eating Index (HEI) 2015 scoring system using multiple 24-hour food recall data.
The HEI-2015 contains 13 components that sum to a total maximum score of 100 points, the total HEI score is the sum of the adequacy components and moderation components.
The closer a set of foods aligns with the Dietary Guidelines for Americans, the higher the HEI score.
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9, 17, and 24 weeks
|
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Green house gas emissions (GHGE)
Time Frame: 9, 17, and 24 weeks
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change in GHGE score using multiple 24-hour recall data converted to GHGE conversion factor in kilogram of carbon dioxide equivalent per kilogram
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9, 17, and 24 weeks
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Physical activity
Time Frame: 9, 17, and 24 weeks
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Change in physical activity score assessed using The International Physical Activity Questionnaire (IPAQ).
The scoring system has three criteria: insufficiently active, minimally Active, and HEPA active.
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9, 17, and 24 weeks
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Sleep quality
Time Frame: 9, 17, and 24 weeks
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Change in sleep quality score assessed using The Pittsburgh Sleep Quality Index (PSQI) questionnaire.
The sum of the global PSQI scores ranged from 0 to 21.
If Global PSQI score was 5 or less (≤5), considered as good sleep quality, if Global PSQI score was more than 5 (>5), considered as poor sleep quality.
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9, 17, and 24 weeks
|
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Sel-efficacy
Time Frame: 9, 17, and 24 weeks
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Change in self-efficacy score (nutrition and physical exercise) assessed using the Berlin Risk Appraisal and Health Motivation questionnaire.
In each question, the item wording is provided for the three measures.
Response format is (1) very uncertain, (2) rather uncertain, (3) rather certain, and (4) very certain.
Each response represents points that will be summed up at the end of the question.
The bigger the final score, the better the subject's self-efficacy regarding nutrition and physical exercise is.
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9, 17, and 24 weeks
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Rina Agustina, PhD, Human Nutrition Research Center, IMERI; Dep of Nutrition, Fac.of Medicine UI
Publications and helpful links
General Publications
- Bishwajit G. Nutrition transition in South Asia: the emergence of non-communicable chronic diseases. F1000Res. 2015 Jan 12;4:8. doi: 10.12688/f1000research.5732.2. eCollection 2015.
- Tukker A, Goldbohm RA, de Koning A, Verheijden M, Kleijn R, Wolf O, et al. Environmental impacts of changes to healthier diets in Europe. Ecological Economics. 2011 Aug 15;70(10):1776-88.
- Behrens P, Kiefte-de Jong JC, Bosker T, Rodrigues JFD, de Koning A, Tukker A. Evaluating the environmental impacts of dietary recommendations. Proc Natl Acad Sci U S A. 2017 Dec 19;114(51):13412-13417. doi: 10.1073/pnas.1711889114. Epub 2017 Dec 4.
- Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012 Jan;70(1):3-21. doi: 10.1111/j.1753-4887.2011.00456.x.
- de Pee S, Hardinsyah R, Jalal F, Kim BF, Semba RD, Deptford A, Fanzo JC, Ramsing R, Nachman KE, McKenzie S, Bloem MW. Balancing a sustained pursuit of nutrition, health, affordability and climate goals: exploring the case of Indonesia. Am J Clin Nutr. 2021 Nov 8;114(5):1686-1697. doi: 10.1093/ajcn/nqab258.
- Willett W, Rockstrom J, Loken B, Springmann M, Lang T, Vermeulen S, Garnett T, Tilman D, DeClerck F, Wood A, Jonell M, Clark M, Gordon LJ, Fanzo J, Hawkes C, Zurayk R, Rivera JA, De Vries W, Majele Sibanda L, Afshin A, Chaudhary A, Herrero M, Agustina R, Branca F, Lartey A, Fan S, Crona B, Fox E, Bignet V, Troell M, Lindahl T, Singh S, Cornell SE, Srinath Reddy K, Narain S, Nishtar S, Murray CJL. Food in the Anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet. 2019 Feb 2;393(10170):447-492. doi: 10.1016/S0140-6736(18)31788-4. Epub 2019 Jan 16. No abstract available. Erratum In: Lancet. 2019 Feb 9;393(10171):530. Lancet. 2019 Jun 29;393(10191):2590. Lancet. 2020 Feb 1;395(10221):338. Lancet. 2020 Oct 3;396(10256):e56.
- Abdurahman AA, Bule M, Azadbakhat L, Fallahyekta M, Parouhan A, Qorbani M, Dorosty AR. The association between diet quality and obesity-related metabolic risks. Hum Antibodies. 2020;28(1):1-9. doi: 10.3233/HAB-190387.
- Masset G, Soler LG, Vieux F, Darmon N. Identifying sustainable foods: the relationship between environmental impact, nutritional quality, and prices of foods representative of the French diet. J Acad Nutr Diet. 2014 Jun;114(6):862-869. doi: 10.1016/j.jand.2014.02.002. Epub 2014 Apr 4.
- Stefani S, Ngatidjan S, Paotiana M, Sitompul KA, Abdullah M, Sulistianingsih DP, Shankar AH, Agustina R. Dietary quality of predominantly traditional diets is associated with blood glucose profiles, but not with total fecal Bifidobacterium in Indonesian women. PLoS One. 2018 Dec 21;13(12):e0208815. doi: 10.1371/journal.pone.0208815. eCollection 2018. Erratum In: PLoS One. 2019 Apr 18;14(4):e0215533.
- Siregar DAS, Rianda D, Irwinda R, Dwi Utami A, Hanifa H, Shankar AH, Agustina R. Associations between diet quality, blood pressure, and glucose levels among pregnant women in the Asian megacity of Jakarta. PLoS One. 2020 Nov 25;15(11):e0242150. doi: 10.1371/journal.pone.0242150. eCollection 2020.
- van de Kamp ME, van Dooren C, Hollander A, Geurts M, Brink EJ, van Rossum C, Biesbroek S, de Valk E, Toxopeus IB, Temme EHM. Healthy diets with reduced environmental impact? - The greenhouse gas emissions of various diets adhering to the Dutch food based dietary guidelines. Food Res Int. 2018 Feb;104:14-24. doi: 10.1016/j.foodres.2017.06.006. Epub 2017 Jun 6.
- Ahn JS, Kim DW, Kim J, Park H, Lee JE. Development of a Smartphone Application for Dietary Self-Monitoring. Front Nutr. 2019 Sep 23;6:149. doi: 10.3389/fnut.2019.00149. eCollection 2019.
- Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. Int J Environ Res Public Health. 2021 Mar 28;18(7):3496. doi: 10.3390/ijerph18073496.
- Krebs-Smith SM, Pannucci TE, Subar AF, Kirkpatrick SI, Lerman JL, Tooze JA, Wilson MM, Reedy J. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018 Sep;118(9):1591-1602. doi: 10.1016/j.jand.2018.05.021. Erratum In: J Acad Nutr Diet. 2019 Aug 20;:
- Rahmi RN, Poolsawad N, Sranacharoenpong K. Environmental Impacts Related to Food Consumption of Indonesian Adults. J Nutr Sci Vitaminol (Tokyo). 2020;66(Supplement):S149-S154. doi: 10.3177/jnsv.66.S149.
- David SK, Rafiullah MR. Innovative health informatics as an effective modern strategy in diabetes management: a critical review. Int J Clin Pract. 2016 Jun;70(6):434-49. doi: 10.1111/ijcp.12816.
- Alkerwi A. Diet quality concept. Nutrition. 2014 Jun;30(6):613-8. doi: 10.1016/j.nut.2013.10.001. Epub 2013 Oct 14.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- EARTH
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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