Translating obesity: navigating the front lines of the "war on fat".

Am J Hum Biol

School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona.

Published: July 2015

Objectives: Obesity is treated within medicine, public health, and applied sciences as a biomedical fact with urgent health implications; obesity is also, however, a social fact and one that reveals biomedical concerns can lead to social suffering. Translation of social science-oriented obesity research for broader public good requires navigation of the space between these polemical and seemingly mutually exclusive positions.

Methods: Using examples from our own current programs of biocultural research, we explain the opportunities and ongoing challenges of efforts to bridge the chasm between critique and intervention when the topic under discussion is obesity. The examples range from cross-population analyses of human variation and the implications for how we measure and classify obesity to biocultural research into fat-stigma to translational research conducted as part of a larger collaboration across multiple institutions.

Results And Conclusions: Translation of social science-oriented obesity research for broader public good requires collaborative work across disciplines and fields, as well as between academics, professionals working in public health and medicine, policy makers, and other key stakeholders. Translation efforts must acknowledge and develop practical programs addressing the "obesity crisis," but also are compelled to question core assumptions upon which obesity-reduction interventions have thus far been based.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ajhb.22623DOI Listing

Publication Analysis

Top Keywords

public health
8
translation social
8
social science-oriented
8
science-oriented obesity
8
obesity broader
8
broader public
8
public good
8
good requires
8
obesity
6
translating obesity
4

Similar Publications

Frontline Clinic Administrator Perspectives on Extreme Weather Events, Clinic Operations, and Climate Resilience.

J Ambul Care Manage

January 2025

Author Affiliations: Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Drs Wiskel and Dresser); Harvard T.H. Chan School of Public Health Center for Climate, Health, and the Global Environment, Boston, Massachusetts (Drs Wiskel and Dresser); Americares, Stamford, Connecticut (Mr Matthews-Trigg, Ms Stevens, and Dr Miles); and Harvard Medical School, Boston, Massachusetts (Drs Wiskel, Dresser, and Bernstein).

Climate-sensitive extreme weather events are increasingly impacting frontline clinic operations. We conducted a national, cross-sectional survey of 284 self-identified administrators and other staff at frontline clinics determining their attitudes toward climate change and the impacts, resilience, and preparedness of clinics for extreme weather events. Most respondents (80.

View Article and Find Full Text PDF

Community health workers (CHWs) play a significant role in supporting health services delivery in communities with few trained health care providers. There has been limited research on ways to optimize the role of CHWs in HIV prevention service delivery. This study explored CHWs' experiences with offering HIV prevention services [HIV testing and HIV pre- and post-exposure prophylaxis (PrEP and PEP)] during three pilot studies in rural communities in Kenya and Uganda, which aimed to increase biomedical HIV prevention coverage via a structured patient-centered HIV prevention delivery model.

View Article and Find Full Text PDF

Causal Inference With Observational Data and Unobserved Confounding Variables.

Ecol Lett

January 2025

Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, USA.

Experiments have long been the gold standard for causal inference in Ecology. As Ecology tackles progressively larger problems, however, we are moving beyond the scales at which randomised controlled experiments are feasible. To answer causal questions at scale, we need to also use observational data -something Ecologists tend to view with great scepticism.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!