ArticlePublic health nutrition2019
Using multiple correspondence analysis to identify behaviour patterns associated with overweight and obesity in Vanuatu adults.
Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Social determinants of nutrition and academic performance: multiple correspondence and cluster analysis.Frontiers in public health · 2026Article
- Investigating Associations Between Prognostic Factors in Gliomas: Unsupervised Multiple Correspondence Analysis.JMIR bioinformatics and biotechnology · 2025Article
- Challenges and opportunities in rapid disaster research: lessons from the field in New Mexico and Vanuatu.Frontiers in sociology · 2023Article
- Association of behavior pattern with overweight and obesity in South Korean adults-A multi correspondence analysis (KNHANES-2018-2020).PLOS global public health · 2023Article
- COVID-19 Phenotypes and Comorbidity: A Data-Driven, Pattern Recognition Approach Using National Representative Data from the United States.International journal of environmental research and public health · 2022Article
- Global, regional and national burden of low back pain 1990-2019: A systematic analysis of the Global Burden of Disease study 2019.Journal of orthopaedic translation · 2022Review
- Risk factors for carriage of meningococcus in third-level students in Ireland: an unsupervised machine learning approach.Human vaccines & immunotherapeutics · 2021Article
- Consumers' satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews.BMC medical informatics and decision making · 2020Article
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Authors and funding
13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveThe present study evaluates the use of multiple correspondence analysis (MCA), a type of exploratory factor analysis designed to reduce the dimensionality of large categorical data sets, in identifying behaviours associated with measures of overweight/obesity in Vanuatu, a rapidly modernizing Pacific Island country.
designStarting with seventy-three true/false questions regarding a variety of behaviours, MCA identified twelve most significantly associated with modernization status and transformed the aggregate binary responses of participants to these twelve questions into a linear scale. Using this scale, individuals were separated into three modernization groups (tertiles) among which measures of body fat were compared and OR for overweight/obesity were computed.
settingVanuatu.ParticipantsNi-Vanuatu adults (n 810) aged 20-85 years.
resultsAmong individuals in the tertile characterized by positive responses to most of or all the twelve modernization questions, weight and measures of body fat and the likelihood that measures of body fat were above the US 75th percentile were significantly greater compared with individuals in the tertiles characterized by mostly or partly negative responses.
conclusionsThe study indicates that MCA can be used to identify individuals or groups at risk for overweight/obesity, based on answers to simply-put questions. MCA therefore may be useful in areas where obtaining detailed information about modernization status is constrained by time, money or manpower.
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