2 datasets found

  1. File S1 - Geographic Variability in the Association between Socioeconomic...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    doc
    Updated Jun 4, 2023
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    Alexandre Lebel; Yan Kestens; Christelle Clary; Sherri Bisset; S. V. Subramanian (2023). File S1 - Geographic Variability in the Association between Socioeconomic Status and BMI in the USA and Canada [Dataset]. http://doi.org/10.1371/journal.pone.0099158.s001
    Explore at:
    docAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0099158.s001
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alexandre Lebel; Yan Kestens; Christelle Clary; Sherri Bisset; S. V. Subramanian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada, United States
    Description

    Analyses using multilevel models with three level variance-covariance matrixes. (DOC)

  2. w

    Global Food Tracker App Market Research Report: By Application (Dietary...

    • wiseguyreports.com
    Updated Sep 15, 2025
    + more versions
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    (2025). Global Food Tracker App Market Research Report: By Application (Dietary Management, Calorie Tracking, Nutrition Analysis, Meal Planning), By Type (Mobile Applications, Web Applications, Wearable Device Integration), By User Type (Health Conscious Individuals, Fitness Enthusiasts, Nutritionists and Dieticians, General Consumers), By Features (Barcode Scanning, Food Diary, Nutritional Database, Recipe Suggestions, Progress Tracking) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/food-tracker-app-market
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    Dataset updated
    Sep 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20243.31(USD Billion)
    MARKET SIZE 20253.66(USD Billion)
    MARKET SIZE 203510.0(USD Billion)
    SEGMENTS COVEREDApplication, Type, User Type, Features, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSincreasing health consciousness, rising obesity rates, demand for personalization, advancements in technology, growing smartphone penetration
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDNoom, Cronometer, Tasty, Lifesum, Fooducate, MyFitnessPal, SparkPeople, Yummly, Nutritionix, Eat This Much, Lose It!, Calm, Wholesome, Spoonful, PlateJoy, FatSecret
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIncreased health consciousness, Rising demand for personalized nutrition, Integration with wearable devices, Expansion in meal planning features, Growth in dietary tracking solutions
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.6% (2025 - 2035)

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Alexandre Lebel; Yan Kestens; Christelle Clary; Sherri Bisset; S. V. Subramanian (2023). File S1 - Geographic Variability in the Association between Socioeconomic Status and BMI in the USA and Canada [Dataset]. http://doi.org/10.1371/journal.pone.0099158.s001
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File S1 - Geographic Variability in the Association between Socioeconomic Status and BMI in the USA and Canada

Related Article
Explore at:
docAvailable download formats
Unique identifier
https://doi.org/10.1371/journal.pone.0099158.s001
Dataset updated
Jun 4, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Alexandre Lebel; Yan Kestens; Christelle Clary; Sherri Bisset; S. V. Subramanian
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Canada, United States
Description

Analyses using multilevel models with three level variance-covariance matrixes. (DOC)

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