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Updated: Jun 26, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
Published on: May 30, 2025
Small-area estimation and prioritizing communities for obesity control in Massachusetts
Wenjun Li1, Jennifer L Kelsey, Zi Zhang
1University of Massachusetts Medical School, 55 Lake Avenue N, Shaw SH2-230, Worcester, MA 01655, USA. wenjun.li@umassmed.edu
Obesity prevalence in Massachusetts communities increased from 1999 to 2005, with rates varying widely. Identifying high-priority communities using small-area estimation can help target obesity control efforts effectively.
Area of Science:
- Public Health
- Epidemiology
- Biostatistics
Background:
- Community-level obesity prevalence shows significant geographic and temporal variations.
- National objectives for obesity control, such as the Healthy People 2010 targets, remain challenging to meet.
- Targeted interventions are crucial for efficient resource allocation in public health initiatives.
Purpose of the Study:
- To develop and apply a novel method for assessing geographic and temporal variations in community-level obesity prevalence.
- To identify high-priority communities in Massachusetts for obesity control initiatives based on prevalence estimates.
- To understand the socio-demographic factors associated with obesity at the community level.
Main Methods:
- Small-area estimation models were developed using individual data from the Behavioral Risk Factor Surveillance System (1999-2005) and community data from the 2000 US Census.
- Obesity was defined as a body mass index (BMI) greater than or equal to 30 kg/m(2).
- A classification system, considering both the level and precision of obesity prevalence estimates, was used to designate high-priority communities.
Main Results:
- Community-level obesity prevalence estimates in Massachusetts ranged from 9% to 38% in 2005, with a consistent increase observed across all communities between 1999 and 2005.
- Less than 7% of communities achieved the Healthy People 2010 objective of obesity prevalence rates below 15%.
- Higher obesity prevalence rates were significantly associated with communities characterized by lower income levels, reduced educational attainment, and a higher proportion of blue-collar workers.
Conclusions:
- Massachusetts, mirroring national trends, faces substantial challenges in achieving national obesity control objectives.
- The application of small-area estimation models effectively identifies high-priority communities for obesity interventions.
- Targeting resources toward these identified high-priority communities is a strategic approach to maximize the impact of obesity control efforts.
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