3 datasets found
  1. Population share with overweight in Canada 2014-2029

    • statista.com
    Updated Nov 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Population share with overweight in Canada 2014-2029 [Dataset]. https://www.statista.com/topics/9644/obesity-in-canada/
    Explore at:
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Canada
    Description

    The share of the population with overweight in Canada was forecast to continuously increase between 2024 and 2029 by in total 1.6 percentage points. After the fifteenth consecutive increasing year, the overweight population share is estimated to reach 74.45 percent and therefore a new peak in 2029. Notably, the share of the population with overweight of was continuously increasing over the past years.Overweight is defined as a body mass index (BMI) of more than 25.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the share of the population with overweight in countries like Mexico and United States.

  2. f

    Table 1_Obesity and psychology: a bibliometric analysis of half a...

    • frontiersin.figshare.com
    docx
    Updated Apr 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Haiqiu Zhou; Shan Liu; Zixuan Xiao; Saiqiong Yin; Boyan Fan; Guixiang Sun (2025). Table 1_Obesity and psychology: a bibliometric analysis of half a century.docx [Dataset]. http://doi.org/10.3389/fnut.2025.1539587.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Frontiers
    Authors
    Haiqiu Zhou; Shan Liu; Zixuan Xiao; Saiqiong Yin; Boyan Fan; Guixiang Sun
    License

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

    Description

    BackgroundThe interaction mechanisms between obesity and psychological factors are intricate and bidirectional. Psychological issues can prompt unhealthy eating behaviors, impede weight management efforts, and elevate the risk of obesity. This study employs bibliometric approaches to conduct a comprehensive analysis of the knowledge structure, research hotspots, and development trends in the field of obesity and psychology, offering valuable references for future research in this area.MethodsThis study draws on the Web of Science Core Collection (WoSCC) database, with “obesity” and “psychology” serving as the primary search terms. Leveraging CiteSpace (version 6.3.R1) and VOSviewer (version 1.6.20) software, bibliometric analyses were conducted on various indicators, including the number of publications, publication volume, authors, journals, references, countries, institutions, and keywords. Through co-citation analysis and keyword co-occurrence analysis, the research hotspots and developmental trajectories in this field were revealed.ResultsBased on the inclusion and exclusion criteria, a total of 2,753 relevant articles were ultimately included in this study. The results indicate that since the 21st century, there has been a significant surge in the number of publications in the field of obesity and psychology. Developed countries like the United States, Canada, the United Kingdom, and Australia are at the forefront of this field. Leading research institutions include Yale University, University College London, and the University of Pennsylvania. Among the authors, GRILO CM has the highest publication output. Research hotspot keywords primarily include “depression,” “stress,” “emotional eating,” “bariatric surgery,” “intervention,” “weight stigma,” and “self-regulation.” Current research trends reveal a marked regional imbalance in international collaboration in the field of obesity and psychology. In particular, there exists a notable absence of substantive cooperation between developed and developing countries. Research hotspots mainly center around the following aspects: Firstly, it focuses on the prevalence of common psychological distress symptoms, including depression, anxiety, and stress, within the obese population and the implications these symptoms have for health. Secondly, mental health issues like binge eating and emotional eating play a pivotal role in the onset and maintenance of obesity. Thirdly, psychosocial factors like health-related quality of life and weight stigma are at the core of obesity intervention and have potential impacts on behavioral change. Meanwhile, researchers are increasingly concentrating on the individualized mental health requirements of obese populations, emphasizing the importance of evidence-based psychological interventions in the management of obesity. These research hotspots not only enhance our understanding of the complex relationship between obesity and mental health but also provide crucial theoretical foundations and practical insights for future research directions.ConclusionThis study employs bibliometric approaches to conduct a comprehensive and in-depth analysis of research trends and developments in the field of obesity and psychology. The research reveals the current status and characteristics of this field from multiple perspectives, offering scientific backing for researchers to identify potential collaborators, pinpoint hotspot issues, and keep abreast of the latest developments. Looking forward to the future, related research can further expand data sources, diversify research viewpoints, and delve more profoundly into the complex relationship between obesity and mental health.

  3. B

    Canadian Health Measures Survey, Cycle 1 2007 - 2009: Oral Health

    • borealisdata.ca
    Updated Dec 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Canadian Health Measures Survey, Cycle 1 2007 - 2009: Oral Health [Dataset]. http://doi.org/10.5683/SP3/0ITEP7
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 11, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/0ITEP7https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/0ITEP7

    Area covered
    Canada
    Description

    For cycle 1 of the CHMS, directly measured indicators of health and wellness were collected on a representative sample of approximately 5,600 Canadians aged 6 to 79 years. The survey consisted of an in-home general health interview followed by a visit to a mobile examination centre (MEC). Reference laboratories and the MEC laboratory analyzed biological specimens for indicators of general health, chronic disease, infectious disease, nutritional status and environmental biomarkers. The information collected will create national baseline data on the extent of such major health concerns as obesity, hypertension, cardiovascular disease, exposure to infectious diseases, and exposure to environmental contaminants. In addition, the survey will provide clues about illness and the extent to which many diseases may be undiagnosed among Canadians. The CHMS will enable us to determine relationships between health status and disease risk factors, and to explore emerging public health issues. Some of the objectives of the CHMS are to: estimate the numbers of people with selected health conditions, characteristics and environmental exposures based on direct health measures;<.li> ascertain relationships among risk factors, health promotion and protection behaviours, and health status; and<.li> establish a biobank of biospecimens (urine, blood, DNA (Deoxyribonucleic acid)) from a representative sample of Canadians to be used for future research and surveillance.<.li>

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista Research Department (2024). Population share with overweight in Canada 2014-2029 [Dataset]. https://www.statista.com/topics/9644/obesity-in-canada/
Organization logo

Population share with overweight in Canada 2014-2029

Explore at:
Dataset updated
Nov 20, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
Canada
Description

The share of the population with overweight in Canada was forecast to continuously increase between 2024 and 2029 by in total 1.6 percentage points. After the fifteenth consecutive increasing year, the overweight population share is estimated to reach 74.45 percent and therefore a new peak in 2029. Notably, the share of the population with overweight of was continuously increasing over the past years.Overweight is defined as a body mass index (BMI) of more than 25.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the share of the population with overweight in countries like Mexico and United States.

Search
Clear search
Close search
Google apps
Main menu