Mapping the Health Status of the Population of French Polynesia: the MATAEA Project

Primary outcomes

1. Prevalence of obesity

   Time frame: 2 years

   Proportion of participants with indicators of obesity based on physical measurements (BMI, waist circumference) and quantification of lipid levels from blood samples.

2. Prevalence of diabetes

   Time frame: 2 years

   Proportion of participants with indicators of diabetes based on self-reported data on diabetes history (previous diagnosis, antidiabetic treatment) and quantification of glycated haemoglobin from blood samples.

3. Prevalence of cardiovascular diseases

   Time frame: 2 years

   Proportion of participants with indicators of cardiovascular diseases based on self-reported data on history of hypertension (previous diagnosis, treatment for hypertension), blood pressure measurement, and quantification of lipid levels from blood samples.

4. Association between non-communicable diseases and behavioral factors

   Time frame: 2 years

   Calculation of odd ratios to investigate association between non-communicable diseases (obesity, diabetes, cardiovascular diseases) and behavioral factors such as tobacco smoking, alcohol consumption, diet or physical activity data self-reported by the participants in the questionnaire.

5. Association between non-communicable diseases and physical measurements

   Time frame: 2 years

   Calculation of odd ratios to investigate association between non-communicable diseases (obesity, diabetes, cardiovascular diseases) and physical measurements such as BMI (based on the BMI formula i.e., weight in kilograms divided by height in meters squared).

6. Association between non-communicable diseases and blood analyses

   Time frame: 2 years

   Calculation of odd ratios to investigate association between non-communicable diseases (obesity, diabetes, cardiovascular diseases) and blood analyses (such as glycated haemoglobin and lipid levels).

7. Seroprevalence of communicable diseases

   Time frame: 2 years

   Proportion of participants with IgG antibodies, detected in blood samples, specific for different pathogens : arboviruses (four dengue serotypes, Zika, chikungunya), hepatitis B and C viruses, hantaviruses, SARS-CoV-2 and other pathogens known to regularly cause infections in French Polynesia (including influenza viruses, human immunodeficiency virus…). Proportion of participants with positive filarial antigenemia to assess the prevalence of Bancroftian lymphatic filariasis.

8. Composition of microbiome

   Time frame: 2 years

   Bacterial DNA sequencing from stool and saliva samples to assess the gut and oral microbiota profiles and association with lifestyle behavior, diet and susceptibility to communicable and non-communicable diseases.

9. Level of exposure to heavy metals

   Time frame: 2 years

   Quantification of levels of heavy metals (including mercury and lead) from blood samples and association with lifestyle behavior and diet.

10. Level of exposure to pesticides

    Time frame: 2 years

    Quantification of levels of pesticides (including chlordane and toxaphene) from blood samples and association with lifestyle behavior and diet.

11. Level of exposure to mosquito bites

    Time frame: 2 years

    Proportion of participants with IgG antibodies targeting mosquito salivary proteins in blood samples to assess the risk of infection by mosquito-borne viruses

12. Prevalence of ciguatera poisoning

    Time frame: 2 years

    Estimation of the rate of ciguatera poisoning in the population based on data self-reported by the participants in the questionnaire e.g. the occurrence of symptoms suggestive for ciguatera poisoning at least once in their lifetime

13. Demographic and adaptive history of French Polynesians using genomics

    Time frame: 2 years

    Human Whole Genome Sequencing from saliva samples to reconstruct the genetic history of the population of French Polynesia, in terms of both demographic and adaptive history.

14. Genetic susceptibility to obesity

    Time frame: 2 years

    Genome-wide association studies to identify human genetic factors that are associated with BMI or lipids levels.

15. Genetic susceptibility to diabetes

    Time frame: 2 years

    Genome-wide association studies to identify human genetic factors that are associated with HbA1c.

16. Genetic susceptibility to communicable diseases

    Time frame: 2 years

    Genome-wide association studies to identify human genetic factors that are associated with the detection of IgG antibodies specific for different pathogens: arboviruses, hepatitis B and C viruses, hantaviruses, SARS-CoV-2 and other pathogens known to regularly cause infections in French Polynesia (including influenza viruses, human immunodeficiency virus…).