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The spatial distribution of overweight and obesity among a birth cohort of young adult Filipinos (Cebu Philippines, 2005): an application of the Kulldorff spatial scan statistic

Overview of attention for article published in Nutrition & Diabetes, July 2013
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Title
The spatial distribution of overweight and obesity among a birth cohort of young adult Filipinos (Cebu Philippines, 2005): an application of the Kulldorff spatial scan statistic
Published in
Nutrition & Diabetes, July 2013
DOI 10.1038/nutd.2013.21
Pubmed ID
Authors

D L Dahly, P Gordon-Larsen, M Emch, J Borja, L S Adair

Abstract

Objectives:The objectives of the study were to test for spatial clustering of obesity in a cohort of young adults in the Philippines, to estimate the locations of any clusters, and to relate these to neighborhood-level urbanicity and individual-level socioeconomic status (SES).Subjects:Data are from a birth cohort of young adult (mean age 22 years) Filipino males (n=988) and females (n=820) enrolled in the Cebu Longitudinal Health and Nutrition Survey.Methods:We used the Kulldorff spatial scan statistic to detect clusters associated with unusually low or high prevalences of overweight or obesity (defined using body mass index, waist circumference and body fat percentage). Cluster locations were compared to neighborhood-level urbanicity, which was measured with a previously validated scale. Individual-level SES was adjusted for using a principal components analysis of household assets.Results:High-prevalence clusters were typically centered in urban areas, but often extended into peri-urban and even rural areas. There were also differences in clustering by both sex and the measure of obesity used. Evidence of clustering in males, but not females, was much weaker after adjustment for SES.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Master 8 15%
Student > Doctoral Student 6 12%
Other 4 8%
Student > Ph. D. Student 3 6%
Other 9 17%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Nursing and Health Professions 7 13%
Agricultural and Biological Sciences 6 12%
Social Sciences 6 12%
Psychology 3 6%
Other 5 10%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2017.
All research outputs
#19,512,854
of 24,003,070 outputs
Outputs from Nutrition & Diabetes
#383
of 447 outputs
Outputs of similar age
#149,806
of 197,956 outputs
Outputs of similar age from Nutrition & Diabetes
#10
of 13 outputs
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