Examining gender disparities in obesity clinic utilization: An analysis of sex and gender influences via the X.0 wave theory

Background: Obesity is a growing global health issue with significant social, psychological, and physical consequences. Despite a higher prevalence of obesity among men, women have historically been the predominant patients in obesity treatment centers. However, recent trends show an increasing male involvement in bariatric surgery. Understanding the motivations and societal influences driving these gender-based differences is critical to addressing obesity treatment disparities. Objectives: This paper investigates gender disparities in obesity clinic utilization and bariatric surgery motivations through the lens of the X.0 Wave Theory, as a comprehensive framework conceived, invented, introduced, and developed by Prof. Dr. Hamid Mattiello. The X.0 Wave Theory segments human history into transformative epochs characterized by significant advancements in knowledge, technology, and business. These epochs include the Agricultural Age (X.0 = 1.0), the X.0 Wave/Tomorrow Age (2.1 ≤ X.0 ≤ 2.2), and the current Age of Artificial Intelligence (X.0 = 4.0), with projections into the Human Age (X.0 = 5.0) and Transhuman Age (X.0 = 6.0) and beyond. Methods: We conducted a survey with 75 participants (69% women, 29% men) to investigate gender-based differences in motivations for seeking bariatric surgery. The survey captured various factors, including aesthetic concerns, health reasons, self-confidence, and quality of life, alongside the influence of societal pressures and social media. Results: The findings revealed distinct gender-based differences in motivations. Women primarily cited aesthetics, self-confidence, and social pressures, while men were more focused on health concerns and improving quality of life. The study also highlighted that women faced greater societal expectations and were more likely to engage with social media for information regarding treatment options. Discussion: The X.0 Wave Theory offers valuable insights into how emerging technological, social, and cultural waves influence decision-making in bariatric surgery. By understanding these gender disparities within the context of shifting societal norms and digital engagement, this study advocates for the development of gender-sensitive interventions in obesity management. The findings underscore the importance of addressing these differences to improve treatment approaches and outcomes. This research also offers predictions on how future technological and societal shifts may continue to shape gender disparities in healthcare decisions.

Authors

Institutions

Publication Details

Journal
Journal of Policy and Society
Published
2025-02-24
DOI
https://doi.org/10.59400/jps1710
Citations
3
Primary Topic
Obesity and Health Practices
Type
article
Field-Weighted Citation Impact
6.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining gender disparities in obesity clinic utilization: An analysis of sex and gender influences via the X.0 wave theory

Diana Mattiello, Hamid Mattiello
3 citations
Journal of Policy and Society
Obesity and Health Practices
6.07
article

Examining gender disparities in obesity clinic utilization: An analysis of sex and gender influences via the X.0 wave theory

Diana Mattiello, Hamid Mattiello
article en
3 citations

Abstract

Background: Obesity is a growing global health issue with significant social, psychological, and physical consequences. Despite a higher prevalence of obesity among men, women have historically been the predominant patients in obesity treatment centers. However, recent trends show an increasing male involvement in bariatric surgery. Understanding the motivations and societal influences driving these gender-based differences is critical to addressing obesity treatment disparities. Objectives: This paper investigates gender disparities in obesity clinic utilization and bariatric surgery motivations through the lens of the X.0 Wave Theory, as a comprehensive framework conceived, invented, introduced, and developed by Prof. Dr. Hamid Mattiello. The X.0 Wave Theory segments human history into transformative epochs characterized by significant advancements in knowledge, technology, and business. These epochs include the Agricultural Age (X.0 = 1.0), the X.0 Wave/Tomorrow Age (2.1 ≤ X.0 ≤ 2.2), and the current Age of Artificial Intelligence (X.0 = 4.0), with projections into the Human Age (X.0 = 5.0) and Transhuman Age (X.0 = 6.0) and beyond. Methods: We conducted a survey with 75 participants (69% women, 29% men) to investigate gender-based differences in motivations for seeking bariatric surgery. The survey captured various factors, including aesthetic concerns, health reasons, self-confidence, and quality of life, alongside the influence of societal pressures and social media. Results: The findings revealed distinct gender-based differences in motivations. Women primarily cited aesthetics, self-confidence, and social pressures, while men were more focused on health concerns and improving quality of life. The study also highlighted that women faced greater societal expectations and were more likely to engage with social media for information regarding treatment options. Discussion: The X.0 Wave Theory offers valuable insights into how emerging technological, social, and cultural waves influence decision-making in bariatric surgery. By understanding these gender disparities within the context of shifting societal norms and digital engagement, this study advocates for the development of gender-sensitive interventions in obesity management. The findings underscore the importance of addressing these differences to improve treatment approaches and outcomes. This research also offers predictions on how future technological and societal shifts may continue to shape gender disparities in healthcare decisions.

Journal of Policy and SocietyVol. 3(1)
Fachhochschule des Mittelstands (DE), Spital Limmattal (CH)
Openalex Percentile: Top 3%
Obesity and Health Practices
6.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.