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Higher Imported Food Patterns Are Associated with Obesity and Severe Obesity in Tuvalu: A Latent Class Analysis.
López-Gil, José Francisco; Wu, Stephanie M; Lee, Tai-Lin Irene; Shih, Chih-Wei; Tausi, Selotia; Sosene, Vine; Maani, Pauke P; Tupulaga, Malo; Hsu, Yu-Tien; Chang, Chia-Rui; Shiau, Shi-Chian; Lo, Yuan-Hung; Wei, Chih-Fu; Lin, Po-Jen; Hershey, Maria Soledad.
Afiliação
  • López-Gil JF; One Health Research Group, Universidad de Las Américas, Quito, Ecuador.
  • Wu SM; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Lee TI; Department of Radiology and Imaging Science, Emory University School of Medicine, Atlanta, GA, United States.
  • Shih CW; Taiwan International Cooperation and Development Fund (ICDF), Taipei, Taiwan.
  • Tausi S; Taiwan Technical Mission to Tuvalu, Funafuti, Tuvalu.
  • Sosene V; Ministry of Local Government and Agriculture, Department of Agriculture, Tuvalu.
  • Maani PP; Department of Public Health, Ministry of Health, Tuvalu.
  • Tupulaga M; Department of Public Health, Ministry of Health, Tuvalu.
  • Hsu YT; Department of Public Health, Ministry of Health, Tuvalu.
  • Chang CR; Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Shiau SC; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Lo YH; Taiwan International Cooperation and Development Fund (ICDF), Taipei, Taiwan.
  • Wei CF; Taiwan Technical Mission to Tuvalu, Funafuti, Tuvalu.
  • Lin PJ; Taiwan International Cooperation and Development Fund (ICDF), Taipei, Taiwan.
  • Hershey MS; Taiwan Technical Mission to Tuvalu, Funafuti, Tuvalu.
Curr Dev Nutr ; 8(2): 102080, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38351973
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article