24 datasets found
  1. French adult male population by BMI 2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). French adult male population by BMI 2020 [Dataset]. https://www.statista.com/statistics/1368161/distribution-of-the-adult-french-male-population-by-body-mass-index/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 24, 2020 - Oct 5, 2020
    Area covered
    France
    Description

    As of 2020, roughly ** percent of adult men were overweight in France. During that year, around ** percent of French men had a BMI of **** to ****, which the index classifies as not overweight. Nonetheless, **** percent of adult men fell under the obesity classification: a BMI of at least **.

  2. Breakdown of French women according to their BMI 2019

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Breakdown of French women according to their BMI 2019 [Dataset]. https://www.statista.com/statistics/1125918/imc-women-france/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 11, 2019 - Apr 15, 2019
    Area covered
    France
    Description

    The statistic shows the breakdown of French women according to their body mass index (BMI) for the year 2019. The majority of French women, i.e. more than half, had a BMI considered normal, between 18.5 and 25. A quarter were overweight.

  3. French adult female population by BMI 2020

    • statista.com
    Updated Jul 10, 2025
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    French adult female population by BMI 2020 [Dataset]. https://www.statista.com/statistics/1368166/distribution-of-the-adult-french-female-population-by-body-mass-index/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 24, 2020 - Oct 5, 2020
    Area covered
    France
    Description

    As of 2020, over ** percent of adult women were overweight in France. During that year, around ** percent of French women had a BMI of **** to ****, which the index classifies as not overweight. Nonetheless, **** percent of adult women fell under the obesity classification: a BMI of at least **.

  4. f

    Emergency department visits for each obesity class participants and...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Anne-Laure Feral-Pierssens; Claire Carette; Claire Rives-Lange; Joane Matta; Marcel Goldberg; Philippe Juvin; Marie Zins; Sebastien Czernichow (2023). Emergency department visits for each obesity class participants and normal-weight participants from 2010 to 2013, France. [Dataset]. http://doi.org/10.1371/journal.pone.0194831.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anne-Laure Feral-Pierssens; Claire Carette; Claire Rives-Lange; Joane Matta; Marcel Goldberg; Philippe Juvin; Marie Zins; Sebastien Czernichow
    License

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

    Description

    Emergency department visits for each obesity class participants and normal-weight participants from 2010 to 2013, France.

  5. f

    Should the WHO Growth Charts Be Used in France?

    • plos.figshare.com
    • data.niaid.nih.gov
    • +2more
    tiff
    Updated Jun 7, 2023
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    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude (2023). Should the WHO Growth Charts Be Used in France? [Dataset]. http://doi.org/10.1371/journal.pone.0120806
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    tiffAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pauline Scherdel; Jérémie Botton; Marie-Françoise Rolland-Cachera; Juliane Léger; Fabienne Pelé; Pierre Yves Ancel; Chantal Simon; Katia Castetbon; Benoit Salanave; Hélène Thibault; Sandrine Lioret; Sandrine Péneau; Gaelle Gusto; Marie-Aline Charles; Barbara Heude
    License

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

    Area covered
    France
    Description

    BackgroundGrowth charts are an essential clinical tool for evaluating a child's health and development. The current French reference curves, published in 1979, have recently been challenged by the 2006 World Health Organization (WHO) growth charts.ObjectiveTo evaluate and compare the growth of French children who were born between 1981 and 2007, with the WHO growth charts and the French reference curves currently used.DesignAnthropometric measurements from French children, who participated in 12 studies, were analyzed: 82,151 measurements were available for 27,257 children in different age groups, from birth to 18 years. We calculated and graphically compared mean z-scores based on the WHO and French curves, for height, weight and Body Mass Index (BMI) according to age and sex. The prevalence of overweight using the WHO, the French and International Obesity Task Force definitions were compared.ResultsOur population of children was on average 0.5 standard deviations taller than the French reference population, from the first month of life until puberty age. Mean z-scores for height, weight and BMI were closer to zero based on the WHO growth charts than on the French references from infancy until late adolescence, except during the first six months. These differences not related to breastfeeding rates. As expected, the prevalence of overweight depended on the reference used, and differences varied according to age.ConclusionThe WHO growth charts may be appropriate for monitoring growth of French children, as the growth patterns in our large population of French children were closer to the WHO growth charts than to the French reference curves, from 6 months onwards. However, there were some limitations in the use of these WHO growth charts, and further investigation is needed.

  6. f

    Health, social and economic characteristics of obese (BMI≥30 kg/m2) vs....

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Anne-Laure Feral-Pierssens; Claire Carette; Claire Rives-Lange; Joane Matta; Marcel Goldberg; Philippe Juvin; Marie Zins; Sebastien Czernichow (2023). Health, social and economic characteristics of obese (BMI≥30 kg/m2) vs. normal weight (18,5 kg/m2 ≤BMI [Dataset]. http://doi.org/10.1371/journal.pone.0194831.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anne-Laure Feral-Pierssens; Claire Carette; Claire Rives-Lange; Joane Matta; Marcel Goldberg; Philippe Juvin; Marie Zins; Sebastien Czernichow
    License

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

    Description

    Health, social and economic characteristics of obese (BMI≥30 kg/m2) vs. normal weight (18,5 kg/m2 ≤BMI

  7. R

    Nutritional status according to weight status in French older adults

    • entrepot.recherche.data.gouv.fr
    tsv
    Updated Feb 16, 2022
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    Claire Sulmont-Rossé; Claire Sulmont-Rossé (2022). Nutritional status according to weight status in French older adults [Dataset]. http://doi.org/10.15454/MJTRXM
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    tsv(165844)Available download formats
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    Recherche Data Gouv
    Authors
    Claire Sulmont-Rossé; Claire Sulmont-Rossé
    License

    https://spdx.org/licenses/etalab-2.0.htmlhttps://spdx.org/licenses/etalab-2.0.html

    Area covered
    French
    Description

    This table include data relative to the nutritional status (questionnaire MNA) and to the weight status (underweight, normal-weight, overweight, obese) of French older adults (>65).

  8. e

    Nutritional status according to weight status in French older adults -...

    • b2find.eudat.eu
    Updated Oct 11, 2024
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    (2024). Nutritional status according to weight status in French older adults - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/24e58314-e8b0-51b3-b3f4-4e0763dc0f7d
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    Dataset updated
    Oct 11, 2024
    Area covered
    French
    Description

    This table include data relative to the nutritional status (questionnaire MNA) and to the weight status (underweight, normal-weight, overweight, obese) of French older adults (>65).

  9. Smart Weight, Body Composition, And Bmi Scales Market Analysis, Size, and...

    • technavio.com
    Updated Oct 1, 2002
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    Technavio (2002). Smart Weight, Body Composition, And Bmi Scales Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Italy, Russia), APAC (China, Japan, South Korea), South America , and Middle East and Africa [Dataset]. https://www.technavio.com/report/smart-weight-body-composition-and-bmi-scales-market-industry-analysis
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    Dataset updated
    Oct 1, 2002
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, Canada, United States, Global
    Description

    Snapshot img

    Smart Weight, Body Composition, And BMI Scales Market Size 2025-2029

    The smart weight, body composition, and bmi scales market size is forecast to increase by USD 115.7 million, at a CAGR of 5.3% between 2024 and 2029.

    The market is experiencing significant growth, driven by the rising health consciousness among individuals. This trend is fueled by the increasing awareness of the importance of maintaining a healthy weight and body composition. Another key factor propelling market expansion is the innovative features offered by smart scales, such as pregnancy mode, which cater to specific user needs. However, the market faces challenges as well. The proliferation of alternative smart wearable devices and applications poses a threat to the market, as consumers have an abundance of choices for tracking their health metrics. Companies in this market must differentiate themselves by offering unique features and integrating seamlessly with other health and fitness platforms to attract and retain customers. To capitalize on opportunities and navigate challenges effectively, market players should focus on continuous innovation, user-centric design, and strategic partnerships.

    What will be the Size of the Smart Weight, Body Composition, And BMI Scales Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe smart weight and body composition scale market continues to evolve, driven by advancements in technology and shifting consumer preferences. These devices offer more than just basic weight measurement, providing insights into body composition, muscle mass, body water, bone density, and visceral fat. The market caters to various sectors, including disease prevention, fitness tracking, and health data management. Smart scales integrate user-friendly interfaces and Bluetooth connectivity for seamless data synchronization with mobile apps, allowing for real-time health monitoring and analysis. Marketing strategies focus on personalized feedback, privacy compliance, and user experience (UX) to attract and retain customers. Differentiation comes from features like segmental body composition analysis, dietary analysis, health coaching, and wellness programs. Regulatory compliance, safety standards, and data security are essential considerations, ensuring the protection of sensitive health information. The market's growth potential is significant, with retail sales and online sales contributing to its expansion. Wellness improvement and weight management remain key applications, while pricing strategies and product differentiation influence market penetration. Manufacturing costs, distribution channels, and software updates impact the competitive landscape. As technology advances, smart scales continue to offer more comprehensive health assessments, integrating with smartphones, wearables, and cloud storage for enhanced functionality and convenience.

    How is this Smart Weight, Body Composition, And BMI Scales Industry segmented?

    The smart weight, body composition, and bmi scales industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Distribution ChannelOfflineOnlinePriceLess than USD100More than USD100TypeWi-FiBluetoothApplicationHouseholdGymOthersGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyRussiaAPACChinaJapanSouth KoreaRest of World (ROW)

    By Distribution Channel Insights

    The offline segment is estimated to witness significant growth during the forecast period.The market for smart weight, body composition, and BMI scales has seen substantial growth in recent years, with both online and offline channels experiencing significant demand. Online sales enable consumers to purchase these advanced scales from the comfort of their homes, while offline retail outlets provide an opportunity for customers to physically assess the product before making a purchase. Offline channels, including specialty health stores, department stores, hypermarkets, and fitness equipment stores, are particularly effective in reaching a broad consumer base. These retailers often have dedicated sections for health and wellness products, showcasing smart scales alongside other related items. User interface and experience, marketing strategies, data synchronization, Bluetooth connectivity, and sensor technology are integral features of these devices, catering to consumers seeking health risk assessments, muscle mass measurement, segmental body composition analysis, and health data management. Wellness programs, health coaching, body water monitoring, smartphone integration, and personalized feedback are additional features that attract consumers. Regulatory

  10. f

    Participants characteristics.

    • plos.figshare.com
    xls
    Updated Dec 20, 2023
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    Isabel Urdapilleta; Lionel El Khoury; Jean-Marc Catheline; Saadi Lahlou; Samuel Demarchi (2023). Participants characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0295034.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Isabel Urdapilleta; Lionel El Khoury; Jean-Marc Catheline; Saadi Lahlou; Samuel Demarchi
    License

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

    Description

    The Covid-19 pandemic could be a source of great anxiety, especially for those at higher risk, such as women experiencing obesity. The aim of this study was to measure how some personal characteristics such as BMI (from underweight to class 3 obesity), bariatric surgery (yes or no), comorbidities, or age (as antecedent variables), and mediating factors impacted state anxiety during the Covid-19 Pandemic. Mediating factors were related to subjective knowledge or attitudes (e.g. interest or beliefs and practices around Covid-19, subjective health perception, and confidence in the government). French women (N = 532) were invited to take part in a voluntary online health survey during lockdown in Paris and its suburbs. Results showed that women with higher BMI had higher anxiety scores, primarily because they feel less healthy than other people. Secondly, the larger the body size of the participants was (BMI), the less they reported that information about Covid-19 held their attention. This lack of interest resulted in feelings of anxiety not being generated. Thirdly, the larger their body size was, the less confidence they had in the effectiveness of the proposed measures by the government and therefore, the more anxious they were. Finally, older age predicted higher interest in the pandemic, higher subjective health, and higher confidence in the government. Identifying obesity as a potential risk factor for anxiety disorders is crucial, but measuring the relationship between state anxiety and personal characteristics (e.g. BMI) requires considering mediating variables (e.g. subjective health perception). To reduce anxiety in women with obesity, it appears necessary to focus on psychological programs that can help them improve their perception of their health, as well as the confidence they may have in institutions, especially for younger women.

  11. Spearman correlation matrix, descriptive statistics, and mean difference...

    • plos.figshare.com
    xls
    Updated Dec 20, 2023
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    Isabel Urdapilleta; Lionel El Khoury; Jean-Marc Catheline; Saadi Lahlou; Samuel Demarchi (2023). Spearman correlation matrix, descriptive statistics, and mean difference between bariatric and no bariatric surgery for the main continuous variables. [Dataset]. http://doi.org/10.1371/journal.pone.0295034.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Isabel Urdapilleta; Lionel El Khoury; Jean-Marc Catheline; Saadi Lahlou; Samuel Demarchi
    License

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

    Description

    Spearman correlation matrix, descriptive statistics, and mean difference between bariatric and no bariatric surgery for the main continuous variables.

  12. Weight Management Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Jul 23, 2025
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    Technavio (2025). Weight Management Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/weight-management-market-analysis
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United Kingdom, Canada, United States, Global
    Description

    Snapshot img

    Weight Management Market Size 2025-2029

    The weight management market size is forecast to increase by USD 114.79 billion at a CAGR of 10.9% between 2024 and 2029.

    The market is driven by the growing obese population and rising demand for weight management services from developing economies. The increasing prevalence of obesity and related health issues globally presents a significant opportunity for market participants. However, marketing challenges associated with weight management products and services pose a significant hurdle. The stigma surrounding obesity and the perception that weight loss is a personal responsibility rather than a health issue create barriers to market penetration. Health insurance plays a pivotal role in covering costs, while fitness apps and mobile health apps enhance accessibility and tracking.
    Companies seeking to capitalize on market opportunities must address these challenges through innovative marketing strategies, affordable pricing, and education initiatives to shift societal perceptions and increase accessibility to weight management services. By focusing on these areas, market participants can effectively navigate challenges and capitalize on the growing demand for weight management solutions. Innovative weight management solutions include waistline control, fitness equipment, surgical equipment, healthy dietary choices, and lifestyle changes.
    

    What will be the Size of the Weight Management Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market for weight management solutions continues to evolve, reflecting the complex and multifaceted nature of weight management and its applications across various sectors. Sleeve gastrectomy and adjustable gastric banding are among the surgical interventions, while anti-obesity medications and pharmacological interventions offer alternative approaches. The prevalence of metabolic syndrome and its associated health risks, including cardiovascular disease and type 2 diabetes, underscores the urgency for sustainable weight loss solutions. Mindful eating, nutrition education, and meal planning are essential components of health behavior modification, while physical fitness and regular exercise routines contribute to weight regain prevention. Fitness and recreational sports centers are offering a wide range of HIIT classes, and HIIT fitness videos are flooding the market.

    Hormonal imbalance and stress management are also crucial factors in weight management. The industry is expected to grow by 5.3% annually, driven by the increasing prevalence of obesity and related health issues. For instance, a study showed that patients who underwent bariatric surgery experienced an average weight loss of 30% within the first year. Social media and the young population's hectic lifestyles have led to increased fast food consumption and weight-related health issues, necessitating preventive measures and weight management programs. Additionally, the complexity and cost of weight management solutions can deter potential customers, particularly in developing economies with limited resources.

    How is this Weight Management Industry segmented?

    The weight management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Diet
      Equipment
      Services
    
    
    Distribution Channel
    
      Offline
      Online
    
    
    End-user
    
      Fitness centers and health clubs
      Commercial weight loss centers
      Online weight loss programs
      Slimming centers
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Type Insights

    The Diet segment is estimated to witness significant growth during the forecast period. The market is driven by the growing concern over health issues related to visceral fat, weight fluctuation, and obesity. Obesity, characterized by a body mass index (BMI) of 30 or higher, affects over one-third of the global population. This condition can lead to various health complications, including high blood pressure, joint problems, diabetes, and insulin sensitivity issues. To combat these health concerns, weight loss programs focusing on calorie expenditure through diet and physical activity have gained popularity. Diets, specifically, dominate the market, as they offer a more sustainable approach to weight management. Nutritional counseling and micronutrient intake are essential components of effective weight loss programs, ensuring a balanced macronutrient and micronutrient intake. Obesity rates continue to rise, fueling

  13. Breakdown of the French population by body mass and gender 2013

    • statista.com
    Updated Oct 25, 2016
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    Statista (2016). Breakdown of the French population by body mass and gender 2013 [Dataset]. https://www.statista.com/statistics/767888/weight-french-sex/
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    Dataset updated
    Oct 25, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    France
    Description

    This statistic represents the distribution of the French population aged 30 to 69 in 2013, by body mass index and gender. That year, 41 percent of men were overweight.

  14. f

    Goodness of fit indices of models testing for Cross-BMI and Cross-gender...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Goodness of fit indices of models testing for Cross-BMI and Cross-gender invariance in study 2. [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Description

    Goodness of fit indices of models testing for Cross-BMI and Cross-gender invariance in study 2.

  15. W

    Weight Loss Surgery Market in Europe Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Market Report Analytics (2025). Weight Loss Surgery Market in Europe Report [Dataset]. https://www.marketreportanalytics.com/reports/weight-loss-surgery-market-in-europe-94758
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The European weight loss surgery market is experiencing robust growth, driven by rising obesity rates, increasing awareness of bariatric procedures, and advancements in minimally invasive surgical techniques. The market, valued at approximately €X million in 2025 (assuming a logical extrapolation based on the provided CAGR of 15% and the unspecified market size "XX" – a precise figure requires the missing "XX" value), is projected to reach €Y million by 2033. This significant expansion is fueled by several key factors. The increasing prevalence of obesity and related comorbidities like type 2 diabetes and cardiovascular disease is creating a substantial demand for effective weight loss solutions. Furthermore, technological advancements in devices such as suturing devices, stapling devices, and implantable gastric bands are leading to safer, less invasive procedures with improved patient outcomes, driving market penetration. The segment of assisting devices, encompassing suturing, closure, and stapling devices, is expected to dominate the market due to its widespread use in various bariatric surgeries. However, the growth is also influenced by factors like high procedure costs, potential complications associated with surgery, and varying reimbursement policies across European countries. Growth across the major European markets – Germany, the United Kingdom, France, Italy, and Spain – will contribute significantly to the overall market expansion. However, disparities in healthcare infrastructure and insurance coverage may lead to regional variations in adoption rates. The competitive landscape includes established players like Allergan, Ethicon, and Covidien, as well as emerging companies focusing on innovative technologies. These companies are constantly investing in research and development to introduce advanced devices and improve surgical techniques, further propelling the market's growth. While regulatory hurdles and potential risks associated with weight loss surgery present challenges, the overall outlook for the European weight loss surgery market remains positive, indicating substantial growth opportunities over the forecast period. (Note: 'X' and 'Y' represent calculated values derived from the 15% CAGR and the missing base market size. To obtain precise figures, the missing market size data is required). Recent developments include: In June 2022, Rhythm Pharmaceuticals, Inc. announced that IMCIVREE is available to patients in Germany.The European Commission granted IMCIVREE marketing authorization for the treatment of obesity and the management of hunger in adults and children aged 6 and older with genetically confirmed loss-of-function biallelic pro-opiomelanocortin, including proprotein convertase subtilisin/kexin type 1 deficiency or biallelic leptin receptor deficiency., In June 2022, European Medicines Agency (EMA) safety committee Pharmacovigilance Risk Assessment Committee (PRAC) has recommended the withdrawal of European Union (EU) marketing authorisations for amfepramone obesity medicines.. Key drivers for this market are: Increase in Obese Population, Prevalence of Diabetes and Heart Diseases; Government Initiatives to Curb Obesity; Insurance Coverage of Surgeries. Potential restraints include: Increase in Obese Population, Prevalence of Diabetes and Heart Diseases; Government Initiatives to Curb Obesity; Insurance Coverage of Surgeries. Notable trends are: Gastric Balloons Segment is Expected to Witness the Highest CAGR in the Market Over the Forecast Period.

  16. Exploratory factor analysis results of the French version of the weight...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
    + more versions
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Exploratory factor analysis results of the French version of the weight efficacy Life-Style questionnaire, carried out on the clinical sample (n = 924). [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Area covered
    French
    Description

    Exploratory factor analysis results of the French version of the weight efficacy Life-Style questionnaire, carried out on the clinical sample (n = 924).

  17. f

    Means and standard deviations of the assessment scales used in a French...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Means and standard deviations of the assessment scales used in a French clinical sample. [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Area covered
    French
    Description

    Means and standard deviations of the assessment scales used in a French clinical sample.

  18. Goodness of fit indices of the two weight efficacy Life-Style questionnaire...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Goodness of fit indices of the two weight efficacy Life-Style questionnaire versions used in study 1 and study 2. [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t008
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Description

    Goodness of fit indices of the two weight efficacy Life-Style questionnaire versions used in study 1 and study 2.

  19. Means, standard deviations and Wilcoxon–Mann–Whitney statistics for study 1...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Means, standard deviations and Wilcoxon–Mann–Whitney statistics for study 1 variables. [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Description

    Means, standard deviations and Wilcoxon–Mann–Whitney statistics for study 1 variables.

  20. f

    Means, standard deviations, Wilcoxon–Mann–Whitney and Kruskall-Wallis...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps (2023). Means, standard deviations, Wilcoxon–Mann–Whitney and Kruskall-Wallis statistics for study 2 variables. [Dataset]. http://doi.org/10.1371/journal.pone.0259885.t011
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Natalija Plasonja; Anna Brytek-Matera; Greg Décamps
    License

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

    Description

    Means, standard deviations, Wilcoxon–Mann–Whitney and Kruskall-Wallis statistics for study 2 variables.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2025). French adult male population by BMI 2020 [Dataset]. https://www.statista.com/statistics/1368161/distribution-of-the-adult-french-male-population-by-body-mass-index/
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French adult male population by BMI 2020

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Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 24, 2020 - Oct 5, 2020
Area covered
France
Description

As of 2020, roughly ** percent of adult men were overweight in France. During that year, around ** percent of French men had a BMI of **** to ****, which the index classifies as not overweight. Nonetheless, **** percent of adult men fell under the obesity classification: a BMI of at least **.

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