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Higher Imported Food Patterns Are Associated with Obesity and Severe Obesity in Tuvalu: A Latent Class Analysis

  • José Francisco López-Gil
  • , Stephanie M. Wu
  • , Tai Lin (Irene) Lee
  • , Chih Wei Shih
  • , Selotia Tausi
  • , Vine Sosene
  • , Pauke P. Maani
  • , Malo Tupulaga
  • , Yu Tien Hsu
  • , Chia Rui Chang
  • , Shi Chian Shiau
  • , Yuan Hung Lo
  • , Chih Fu Wei
  • , Po Jen Lin
  • , Maria Soledad Hershey
  • Universidad de las Américas - Ecuador
  • Harvard University
  • Emory University
  • Taiwan International Cooperation and Development Fund (ICDF)
  • Taiwan Technical Mission to Tuvalu
  • Ministry of Local Government and Agriculture
  • Ministry of Health
  • Johns Hopkins University
  • Danbury Hospital

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

4 Citas (Scopus)

Resumen

Background: Tuvalu is a Pacific Island country within the small island developing states that has observed a significant and alarming increase in obesity rates over the past 40 years, affecting ∼60 %−70 % of the current population. Objectives: This study aimed to investigate the association between food patterns and the proportion of obesity in a Pacific Island country. Methods: The 2022 COMmunity-based Behavior and Attitude survey in Tuvalu (COMBAT) included 985 adults with complete data on sociodemographic information and the frequency of consumption of 25 common foods. A latent class analysis determined 4 food patterns. Bayesian multilevel logistic and linear regression models estimated the association between food patterns and the proportion of obesity [body mass index (BMI) ≥30 kg/m2], severe obesity (BMI ≥40 kg/m2), and weight (kg), adjusting for potential confounders and accounting for clustering by region. Results: The latent class analysis revealed 4 food patterns with an entropy of 0.94 and an average posterior probability of class assignment for each individual of 0.97, described as follows: 1) local: locally produced foods with moderate food diversity (proportion of individuals = 28 %); 2) diverse-local: local with greater food diversity (17 %); 3) restricted-imported: more imported with restricted diversity (29 %); and 4) imported: heavily imported with high diversity (26 %). Compared to those following the diverse-local pattern, the odds of having obesity were greater for those classified with the imported pattern [odds ratio (OR): 2.52; 95 % credible interval (CrI): 1.59, 3.99], restricted-imported pattern (OR: 1.89; 95 % CrI: 1.59, 3.99), and local pattern (OR: 1.54; 95 % CrI: 0.94, 2.50). Similar trends were observed for severe obesity while body weight was positively associated with both restricted-imported and imported food patterns. Conclusions: The high consumption of imported foods, together with the low consumption of plant-based foods and protein-rich foods, could be a relevant modifiable lifestyle factor explaining the high levels of obesity and severe obesity in Tuvalu, a Pacific Island country.

Idioma originalInglés
Número de artículo102080
PublicaciónCurrent Developments in Nutrition
Volumen8
N.º2
DOI
EstadoPublicada - feb. 2024
Publicado de forma externa

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

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