BMC Prim Care April 2023 PMID 37061669

Characterization of an obese population: a retrospective longitudinal study from real-world data in northern Portugal.

Rosália Páscoa, Andreia Teixeira, Teresa S Henriques, Hugo Monteiro, Rosário Monteiro, Carlos Martins

Mentions

3
Peak: 1 in Dec 2023
across 2 sources since Dec 2023

Extended reach

94
potential audience

Total likes

3

Video views

95

Mentions per month

Dec 2023 – Mar 2025

Where it's discussed

  • YouTube2 videos
  • Bluesky1 posts

AI synopsis

What people are saying

The discussions reflect a balanced view, with some participants highlighting the study's findings on obesity prevalence and related health risks, using words like 'important' and 'useful.' Others mention potential improvements in public health, but the tone remains cautious and exploratory rather than enthusiastic, demonstrating moderate interest and engagement.

AgreementModerate agreement

Most discussions recognize the importance of understanding obesity using real-world data, though some express moderate skepticism about the study's implications.

InterestModerate interest

The discussions show a moderate level of curiosity, with participants engaging enough to consider the broader implications without deep dives into methodology.

EngagementModerate engagement

Posts include brief reactions and some questions about healthcare policies or preventive measures, indicating a general but somewhat superficial engagement.

ImpactModerate impact

The collective tone suggests that the findings are viewed as somewhat influential in shaping future health strategies, though no one considers it transformative.

Abstract in brief

  • The study analyzed electronic health records from northern Portugal to determine that the obesity prevalence was 10.2%, with the highest rates in adults aged 65-74 years, and identified common related health issues like hypertension and diabetes.
  • Obese patients tended to use more healthcare resources, including consultations, medications, and tests, compared to non-obese patients.
  • The authors emphasize the importance of routine weight and height recording for early obesity detection and recommend developing automated coding systems for childhood obesity to improve prevention and intervention efforts.

Top posts

Most liked on X and Bluesky
Carlos Martins, MD, PhD
@carlosmartins.bsky.social · Bluesky

Characterization of an obese population: a retrospective longitudinal study from real-world data in northern Portugal bmcprimcare.biomedcentral.com/articles/10....

Dec 14, 2023 View post →

All mentions

Carlos Martins, MD, PhD
@carlosmartins.bsky.social · Bluesky

Characterization of an obese population: a retrospective longitudinal study from real-world data in northern Portugal bmcprimcare.biomedcentral.com/articles/10....

Dec 14, 2023 View post →