Healthy WomenNCT03412617
Diets, Metabolic Profile and Gut Microbiota Among Indonesian Women in Minangkabau and Sundanese-ethnic Community
An observational study of Healthy Women and Diet Habit, run by Rina Agustina.
Trial summary
Many provinces in Indonesia have some well known traditional foods that are widely consumed, but it remains unknown whether traditional ethnic dietary patterns can confirm healthy diets. High quality diet is associated with reduced risk of metabolic diseases and modulated gut microbiota. Read more about this study
- Who is it for?
- Ages 19 to 50 years, women only
- Conditions the study is for
- Healthy Women, Diet Habit, Bifidobacterium
- How many people
- 360 participants
- Where
- No sites listed yet
- Study dates
- 22 Aug 2016to 20 Dec 2017
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 19 to 50 years
- Women only
- No healthy volunteers
- Adult
Study population: Population represent mountainous and coastal areas (Tanah Datar and Padang Pariaman districts in West Sumatera for the Minangkabau ethnic group, and Tasikmalaya District in West Java for the Sundanese ethnic group), who are known to have differences in their traditional diets. These areas have agricultural fields, and the population of farmers and fishermen is above the regional average.
Who may be able to join
- healthy reproductive women aged 19-50 years old
- having both parents from the same ethnicities (Minangkabau or Sundanese)
- willing to participate voluntarily signed a written informed-consent.
Who cannot join
- not being pregnant or lactating
- not having symptoms of gastrointestinal disturbance such as diarrhea, dysentery, constipation more than 3 days, and/or abdominal pain for the last 2 weeks
- not having nausea or vomiting or lost appetite for the last 2 days
- no history of malignancy
- not consuming antibiotics in the last 1 week before fecal collection
- not consuming alcohol more than 3 times a week
About this study
Official title: Association of Intake and Nutritional Status With Total Microbiota and Metabolic Marker in Minangkabau and Sundanese Women in Urban and City: A Comparative Study
Many provinces in Indonesia have some well known traditional foods that are widely consumed, but it remains unknown whether traditional ethnic dietary patterns can confirm healthy diets. High quality diet is associated with reduced risk of metabolic diseases and modulated gut microbiota. Moreover, the relationship between dietary quality and microbiota, a potential mediator of metabolic disease, has not been studied.
Read the detailed description
This study was conducted in specific villages and hamlets that were randomly selected by multi-stage random cluster sampling in 2 provinces. The investigators randomly selected 36 villages (18 villages in each provinces) by using probability proportional to size cluster sampling to admit the total 360 women who met the criteria and consented. While Bifidobacterium, Advanced Glycation End Products (AGE) and lipid profile were examined in a subgroup of 120 participants from each province (n=240).
Field enumerators were trained to standardize 24 hours food recall, food frequency questionnaire for 1 month back, and for stool sampling technique procedure.
Anthropometric measurement was performed by performing weight and height measurement. Fasting blood sampling and fecal Bifidobacterium examination were done in collaboration with professional laboratories. Hemoglobin was assessed by using hemocue. Lipid profile was quantified using calorimetric method, fasting blood glucose (FBG) was quantified using enzymatic colorimetric method glucose oxidase - phenol aminophenazone, HbA1c was using high performance liquid chromatography (HPLC) hexokinase, malondialdehyde level was quantified using will's spectrophotometry, blood advance glycation end products was done by using enzyme linked immunosorbent assay (ELISA), carboxymethyl lysine plasma was done by ultra performance liquid chromatography-tandem mass spectometry (UPLC-MS/MS), and plasma tumor necrosis factor-alpha was done by ELISA. Fecal sample were collected in 2 pots, each contain 5-10 gram of stool, and store in cooler box (2-9 degree celcius) until sample was transported to laboratory as soon as possible to store in -80 degree celcius freezer.
- Conditions
- Healthy Women, Diet Habit, Bifidobacterium, Inflammation, Obesity, Blood Glucose, High
- Keywords
- Healthy Eating, Blood glucose, Bifidobacterium, Obese women
- Medical subject headings
- Feeding Behavior, Inflammation, Obesity
What is being measured
The primary outcome is the main question the study is designed to answer.
Dietary or nutritional intake
Usual dietary intake was done by using semi quantitative food frequency questionnaire for 1 month, and actual intake was done by nonconsecutive repeated 24-hour food recall (weekday and weekend). The investigators was analyse the dietary intake by Nutrisurvey 2007 software. Nutritional intake was reported as total daily intake (energy, macronutrients, and micronutrients). Energy intake is showed in kkal/day. Macronutrients include carbohydrate, protein, fat, and fiber intake are showed in gram/day. Micronutrients include vitamins and minerals are showed in gram/milligram/microgram per day. The value of nutrient intake are very diverse from 0 to high intake.
Measured: September - November 2016
Secondary outcomes (15)
Total fecal microbiota
Microbiota that examined in this study was total Bifidobacterium, quantified by real time-polymerase chain reaction, reported as log Bifidobacterium/gram feces. There is no official cut off for this measurement.
Measured: September - December 2016
Weight
Body weight in kilograms
Measured: September - November 2016
Height
Height in metres
Measured: September - November 2016
Body mass index
Calculated from body weight divided by square of height, reported in kg/m2. Normal range 18.5-22.9 kg/m2.
Measured: September - November 2016
Obesity
Classified using body mass index Asia Pacific standard. Score body mass index below 18.5 kg/m2 is underweight, 18.5-22.9 kg/m2 is normal range, 23-24.9 kg/m2 is overweight, 25-29.9 kg/m2 is obese 1, higher than 30 kg/m2 is obese 2
Measured: September - November 2016
Waist circumference
Waist circumference in centimetres. Normal value is below 80 centimetres for women.
Measured: September - November 2016
Hip circumference
Hip circumference in centimetres
Measured: September - November 2016
Hemoglobin level
Blood hemoglobin was assessed by hemocue, reported in gram/decilitre. Normal value for blood hemoglobin is 12-15.5 gram/decilitre.
Measured: September - November 2016
HbA1c
HbA1c was quantified using high performance liquid chromatography (HPLC) hexokinase, reported in %. Normal value is 4%-5.6%. Score 5.7%-6.4% means high risk of diabetes. Score 6.5% or higher for diagnose diabetes.
Measured: September - November 2016
Lipid profile
Blood lipid profile was quantified using calorimetric method, reported as cholesterol total (normal value is less than 200 milligrams/decilitre)/ low density lipoprotein cholesterol (normal value is less than 100 milligrams/decilitre)/ high density lipoprotein cholesterol (normal value is higher than 40 milligrams/decilitre)/ triglyceride (normal value is less than 150 milligrams/decilitres).
Measured: September - November 2016
Fasting blood glucose
Fasting blood glucose was quantified using enzymatic colorimetric method glucose oxidase - phenol aminophenazone. Normal value is less than 100 milligrams/decilitre.
Measured: September - November 2016
Malondialdehyde (MDA) level
Blood MDA was quantified using spectrophotometry, reported in micromol/litre. There is no official cut off for this measurement.
Measured: September - November 2016
Total advanced glycation end products (AGE)
Blood AGE was quantified by using enzyme linked immunosorbent assay (ELISA), reported in kilo unit/millilitre. There is no official cut off for this measurement.
Measured: September - December 2016
Plasma carboxymethyl lysine (CML)
Plasma CML was quantified by ultra performance liquid chromatography-tandem mass spectometry (UPLC-MS/MS), reported in nanograms/millilitre. There is no official cut off for this measurement.
Measured: July - December 2017
Tumor necrosis factor-alfa (TNF-alfa)
Plasma tumor necrosis factor-alpha was done by ELISA, reported in IU/millilitre. There is no official cut off for this measurement.
Measured: July - December 2017
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Jan 2018
- Study start22 Aug 2016
- Primary completion16 Nov 2016
- Study completion20 Dec 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Healthy WomenStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Ecologic or community
- Time perspective
- Cross-sectional
- Enrolment
- 360 participants (actual)
Sponsor and investigators
- Lead sponsor
- Rina Agustina
- Sponsor type
- University, hospital or other
- Collaborators
- SEAMEO Regional Centre for Food and Nutrition, Universitas Indonesia
- Responsible party
- Sponsor-investigator, Rina Agustina, Universitas Indonesia
- Investigators
- Rina Agustina, Principal investigator, Universitas Indonesia
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03412617
- Sponsor's protocol ID
- Dietary Minangkabau-Sunda
- Status last verified
- Jan 2018
- First submitted
- 11 Jan 2018
- Last updated
- 30 Jan 2018
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 30 Jan 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Association of Intake and Nutritional Status With Total Microbiota and Metabolic Marker in Minangkabau and Sundanese Women in Urban and City: A Comparative Study
- ClinicalTrials.gov ID
- NCT03412617
- Acronym / sponsor ID
- Dietary Minangkabau-Sunda
- Conditions
- Healthy Women, Diet Habit, Bifidobacterium, Inflammation, Obesity, Blood Glucose, High
- Keywords
- Healthy Eating, Blood glucose, Bifidobacterium, Obese women
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 360 participants (actual)
- Lead sponsor
- Rina AgustinaUniversity, hospital or other
- Collaborators
- SEAMEO Regional Centre for Food and Nutrition, Universitas Indonesia
- Study start
- 22 Aug 2016 (actual)
- Primary completion
- 16 Nov 2016 (actual)
- Study completion
- 20 Dec 2017 (actual)
- First posted
- 26 Jan 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Many provinces in Indonesia have some well known traditional foods that are widely consumed, but it remains unknown whether traditional ethnic dietary patterns can confirm healthy diets. High quality diet is associated with reduced risk of metabolic diseases and modulated gut microbiota. Moreover, the relationship between dietary quality and microbiota, a potential mediator of metabolic disease, has not been studied.
Detailed description
This study was conducted in specific villages and hamlets that were randomly selected by multi-stage random cluster sampling in 2 provinces. The investigators randomly selected 36 villages (18 villages in each provinces) by using probability proportional to size cluster sampling to admit the total 360 women who met the criteria and consented. While Bifidobacterium, Advanced Glycation End Products (AGE) and lipid profile were examined in a subgroup of 120 participants from each province (n=240).
Field enumerators were trained to standardize 24 hours food recall, food frequency questionnaire for 1 month back, and for stool sampling technique procedure.
Anthropometric measurement was performed by performing weight and height measurement. Fasting blood sampling and fecal Bifidobacterium examination were done in collaboration with professional laboratories. Hemoglobin was assessed by using hemocue. Lipid profile was quantified using calorimetric method, fasting blood glucose (FBG) was quantified using enzymatic colorimetric method glucose oxidase - phenol aminophenazone, HbA1c was using high performance liquid chromatography (HPLC) hexokinase, malondialdehyde level was quantified using will's spectrophotometry, blood advance glycation end products was done by using enzyme linked immunosorbent assay (ELISA), carboxymethyl lysine plasma was done by ultra performance liquid chromatography-tandem mass spectometry (UPLC-MS/MS), and plasma tumor necrosis factor-alpha was done by ELISA. Fecal sample were collected in 2 pots, each contain 5-10 gram of stool, and store in cooler box (2-9 degree celcius) until sample was transported to laboratory as soon as possible to store in -80 degree celcius freezer.
Study design
- Observational model
- Ecologic or community
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 19 to 50 years
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- Population represent mountainous and coastal areas (Tanah Datar and Padang Pariaman districts in West Sumatera for the Minangkabau ethnic group, and Tasikmalaya District in West Java for the Sundanese ethnic group), who are known to have differences in their traditional diets. These areas have agricultural fields, and the population of farmers and fishermen is above the regional average.
Key inclusion criteria (3 listed)
- healthy reproductive women aged 19-50 years old
- having both parents from the same ethnicities (Minangkabau or Sundanese)
- willing to participate voluntarily signed a written informed-consent.
Key exclusion criteria (6 listed)
- not being pregnant or lactating
- not having symptoms of gastrointestinal disturbance such as diarrhea, dysentery, constipation more than 3 days, and/or abdominal pain for the last 2 weeks
- not having nausea or vomiting or lost appetite for the last 2 days
- no history of malignancy
- not consuming antibiotics in the last 1 week before fecal collection
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Dietary or nutritional intake
Time frame: September - November 2016
Usual dietary intake was done by using semi quantitative food frequency questionnaire for 1 month, and actual intake was done by nonconsecutive repeated 24-hour food recall (weekday and weekend). The investigators was analyse the dietary intake by Nutrisurvey 2007 software. Nutritional intake was reported as total daily intake (energy, macronutrients, and micronutrients). Energy intake is showed in kkal/day. Macronutrients include carbohydrate, protein, fat, and fiber intake are showed in gram/day. Micronutrients include vitamins and minerals are showed in gram/milligram/microgram per day. The value of nutrient intake are very diverse from 0 to high intake.
15 secondary outcomes
Total fecal microbiota
Time frame: September - December 2016
Weight
Time frame: September - November 2016
Height
Time frame: September - November 2016
Body mass index
Time frame: September - November 2016
Obesity
Time frame: September - November 2016
Waist circumference
Time frame: September - November 2016
Hip circumference
Time frame: September - November 2016
Hemoglobin level
Time frame: September - November 2016
HbA1c
Time frame: September - November 2016
Lipid profile
Time frame: September - November 2016
Fasting blood glucose
Time frame: September - November 2016
Malondialdehyde (MDA) level
Time frame: September - November 2016
Total advanced glycation end products (AGE)
Time frame: September - December 2016
Plasma carboxymethyl lysine (CML)
Time frame: July - December 2017
Tumor necrosis factor-alfa (TNF-alfa)
Time frame: July - December 2017
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Jan 2018.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Rina Agustina principal investigator
Universitas Indonesia
Questions about this trial
What is this clinical trial studying?
An observational study of Healthy Women and Diet Habit, run by Rina Agustina.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 30 Jan 2018. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Dietary or nutritional intake (time frame: September - November 2016). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Jan 2018.