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Dietary patterns of Pakistani adults and their associations with sociodemographic characteristics-a community based study.
Rafique, Ibrar; Nadeem Saqib, Muhammad Arif; Murad, Nighat; Munir, Muhammad Kashif; Khan, Aftab; Irshad, Rabia; Rahat, Tayyaba; Naz, Saima.
Afiliación
  • Rafique I; Health Research Institute, National Institutes of Health NIH, Islamabad(Former PHRC).
  • Nadeem Saqib MA; Health Research Institute, National Institutes of Health NIH, Islamabad(Former PHRC).
  • Murad N; Health Research Institute, National Institutes of Health NIH, Islamabad(Former PHRC).
  • Munir MK; HRI Research Centre, King Edward Medical University, Lahore, Pakistan.
  • Khan A; HRI Research Centre, Khyber Medical University, Peshawar, Pakistan.
  • Irshad R; HRI Research Centre, Jinnah Postgraduate Medical Center, Karachi, Pakistan .
  • Rahat T; Health Research Institute, National Institutes of Health NIH, Islamabad(Former PHRC).
  • Naz S; Health Research Institute, National Institutes of Health NIH, Islamabad(Former PHRC).
J Pak Med Assoc ; 72(11): 2218-2222, 2022 Nov.
Article en En | MEDLINE | ID: mdl-37013290
ABSTRACT

OBJECTIVE:

To identify the dietary patterns and understand their association with sociodemographic characteristics among adults.

METHODS:

The community-based cross-sectional study was conducted in Islamabad, Lahore, Karachi, Peshawar and Quetta cities of Pakistan from March to November 2018, after approval from the National Bioethics Committee, Islamabad, and comprised adults of either gender. Data was collected using the food frequency questionnaire, and dietary patterns were identified using factor analysis. Multivariate regression analysis was used to assess the association of socio-demographic determinants with dietary patterns. Data was analysed using SPSS 21. Parallel Analysis criterion (Eigen values) was determined along with Monte Carlo simulation.

RESULTS:

Of the 448 subjects, 206(46%) were males and 242(54%) were females. The largest age group was 36-55 years 199(47.4%). Six dietary patterns were identified "Vegetables", "Fruits", "Mixed Junk and Processed food", "Dairy and Fast food", "Discretionary" and "Fish". Regression analysis showed that those aged 36-55 years had higher scores for vegetables, fruit and fish pattern (p<0.05). Females scored more for vegetables, fish and fruits, and a significantly low score for discretionary diet pattern (p<0.05). Participants with high education level and socioeconomic status had raised scores for discretionary diet items (p<0.05).

CONCLUSIONS:

Six distinct dietary patterns among Pakistani adults were identified, showing significant association with sociodemographic characteristics.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dieta / Frutas Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: J Pak Med Assoc Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dieta / Frutas Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: J Pak Med Assoc Año: 2022 Tipo del documento: Article