Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2017 Nov 21;17(1):268.
doi: 10.1186/s12877-017-0664-4.

Dietary patterns, gender, and weight status among middle-aged and older adults in Taiwan: a cross-sectional study

Affiliations
Comparative Study

Dietary patterns, gender, and weight status among middle-aged and older adults in Taiwan: a cross-sectional study

Miriam Adoyo Muga et al. BMC Geriatr. .

Abstract

Background: Diet has been associated with differences in weight and nutritional status of an individual. The prevalence of overweight and obesity increased among adults in Taiwan. Hence, we examined the relationship between dietary patterns and weight status by gender among middle-aged and older adults in Taiwan.

Methods: The cross-sectional data of 62,965 participants aged ≥40 years were retrieved from the Mei Jau health screening institutions' database collected from 2001 and 2010. Diet information was evaluated using a food frequency questionnaire, while the dietary patterns were derived using principal component analysis before summing up and dividing into quintiles of consumption. The association between dietary patterns and weight status among adult men and women was explored using multinomial logistic regression models. Three models were analyzed before stratifying data by gender.

Results: Two dietary patterns were derived with one reflecting a high consumption of vegetables and fruits (vegetable-fruit dietary pattern) and the other a high consumption of meat and processed foods (meat-processed dietary pattern). After adjustment, highest consumption of vegetables and fruits (Q5) reduced the likelihood of being overweight (OR = 0.91; 95% CI, 0.85-0.97) or obese (OR = 0.85; 95% CI, 0.78-0.92), while highest consumption of meat and processed foods increased the likelihood of being overweight (OR = 1.50; 95% CI, 1.40-1.59) or obese (OR = 1.94; 95% CI, 1.79-2.10). Women were less likely to be overweight or obese with the highest intake of fruits and vegetables (Q5) while both genders were more likely to be overweight or obese with high consumption of meat and processed foods.

Conclusions: High intake of vegetables and fruits is associated with lower odds of being overweight or obese, especially among women. But, high intake of meat and processed foods is associated with higher odds of overweight and obesity in both genders.

Keywords: Body mass index; Dietary patterns; Obesity; Overweight; Underweight.

PubMed Disclaimer

Conflict of interest statement

Ethics approval and consent to participate

The study was approved by the Taipei Medical University-Joint Institutional Review Board (TMU-JIRB). All the subjects signed a written informed consent that the data would be used without personal identification information for academic research purposes only. The ethics ID number of this research project is TMU-JIRB no. 201503016.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Similar articles

Cited by

References

    1. Health Promotion Administration, Ministry of Health and Welfare, R.O.C . Annual report of health promotion administration: promoting your health. Taipei City: Health Promotion Administration, Ministry of Health and Welfare, R.O.C; 2015. p. 2015.
    1. World Health Organization. Obesity and overweight. In: Media Centre. 2016. http://www.who.int/mediacentre/factsheets/fs311/en/. Acessed 1 June 2017.
    1. Hall KD, Sacks G, Chandramohan D, Chow CC, Wang YC, Gortmaker SL, et al. Quantification of the effect of energy imbalance on bodyweight. Lancet. 2011;378:826–837. doi: 10.1016/S0140-6736(11)60812-X. - DOI - PMC - PubMed
    1. Paradis AM, Godin G, Perusse L, Vohl MC. Associations between dietary patterns and obesity phenotypes. Int J Obes. 2009;33:1419–1426. doi: 10.1038/ijo.2009.179. - DOI - PubMed
    1. Schulze MB, Fung TT, Manson JE, Willett WC, Dietary HFB. Patterns and changes in body weight in women. Obesity (Silver Spring) 2006;14:1444–1453. doi: 10.1038/oby.2006.164. - DOI - PubMed

Publication types