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Dietary patterns of Pakistani adults and their associations with sociodemographic, anthropometric and life-style factors.

ABSTRACT: Dietary pattern analysis is an epidemiological method designed to consider the complexity of food preferences and diet patterns of populations. Few studies from South Asia have used this methodology to describe population food intake. Our objective was to identify dietary patterns and understand their associations with sociodemographic, anthropometric and life-style factors among low-income Pakistani urban adults. Dietary information was collected by a thirty-three-item FFQ and dietary patterns were derived by principal component analyses in 5491 subjects enrolled in the Control of Blood Pressure and Risk Attenuation (COBRA) study. Three dietary patterns were identified: a fat and sweet pattern characterised by fried snacks/foods, desserts, organ meats, bakery products, Pakistani bread and food purchased from outside the home; a fruit and vegetable pattern including fruits, juices, raw and cooked vegetables, lean meat and low-fat milk; and a seafood and yogurt pattern identified by prawns, fish, potatoes and yogurt. The fat and sweet pattern scores were low among older subjects, those with high BMI and waist circumference but high among females and physically active participants. The fruit and vegetable pattern was associated with younger age, high BMI, education and non-tobacco use. The seafood and yogurt pattern was associated with high BMI, increased physical activity and non-tobacco use. In conclusion, distinct dietary patterns exist for the Pakistani population that may be related to some of the population characteristics and thus may have importance in suggesting dietary and life-style interventions in the prevention of chronic diseases.

SUBMITTER: Safdar NF

PROVIDER: S-EPMC4153335 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Dietary patterns of Pakistani adults and their associations with sociodemographic, anthropometric and life-style factors.

Safdar Nilofer F NF Bertone-Johnson Elizabeth E Cordeiro Lorraine L Jafar Tazeen H TH Cohen Nancy L NL

Journal of nutritional science 20130101

Dietary pattern analysis is an epidemiological method designed to consider the complexity of food preferences and diet patterns of populations. Few studies from South Asia have used this methodology to describe population food intake. Our objective was to identify dietary patterns and understand their associations with sociodemographic, anthropometric and life-style factors among low-income Pakistani urban adults. Dietary information was collected by a thirty-three-item FFQ and dietary patterns ...[more]

PMID: 25191598

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Project description:BACKGROUND:Few population-based studies have assessed dietary behaviors in the rural multiethnic population of Northern Norway. The present study determined dietary patterns and investigated their association with Sami ethnicity, sociodemographic factors, and lifestyle factors in a multiethnic population in rural Northern Norway. METHODS:This cross-sectional study included 4504 participants of the SAMINOR 2 Clinical Survey (2012-2014) aged 40-69?years. All participants completed a lifestyle and food frequency questionnaire. Dietary patterns were determined using principal component analysis. Associations between food patterns and ethnicity, sociodemographic factors, and lifestyle factors were examined by multiple linear regression. RESULTS:Six dietary patterns were identified that accounted for 28% of the variability in food intake in the study sample: 'processed meat/westernized', 'fish/traditional', 'fruit/vegetables', 'reindeer/traditional', 'bread and sandwich spreads', and 'sweets and bakery goods'. The 'reindeer/traditional' pattern was most common among the inland Sami population. The 'fish/traditional' pattern was most common among costal multiethnic Sami and least common among inland Sami and among women independent of ethnicity. The 'fish/traditional' pattern was also positively associated with older age, high education level, small household size, and smoking. Adherence to the 'processed meat/westernized' pattern was lower among inland Sami than inland/coastal non-Sami; no ethnic differences in adherence to this pattern were found between costal multiethnic Sami and inland/coastal non-Sami. Unhealthy lifestyle factors, like low physical activity level and smoking, and younger age were mainly associated with the 'processed meat/westernized' pattern, whereas socioeconomic factors like low education, low gross annual household income, and large household size were related to the 'sweets and bakery goods' pattern. Male gender, low education level, and smoking were associated with the 'bread and sandwich spreads' pattern. The 'fruit/vegetables' pattern was characterized by healthy dietary choices and a health-conscious lifestyle, and was more common in women with a high education level and income. CONCLUSIONS:Adherence to the six identified dietary patterns was characterized by different sociodemographic and lifestyle factors. Ethnicity, in combination with geographical region of residence, was associated with dietary behaviors. This study provides knowledge that will be useful in future studies on dietary patterns related to chronic diseases in the rural population of Northern Norway.

Project description:BACKGROUND:Sociodemographic characteristics are associated with the dietary patterns of populations. However, the direction of the association is not consistent among countries: it is contingent on the nutritional transition phase, level of economic development, cultural contexts and both the social and health policies prevailing in each country. The objective of this study was to identify the trends in dietary patterns observed in 2006, 2012 and 2016 among Mexican adults by sociodemographic characteristic. METHODS:To determine and compare dietary patterns, we performed a secondary analysis of dietary and sociodemographic data for adults 20-59?years old. Data were drawn from the 2006 and 2012 National Health and Nutrition Surveys (ENSANUTs) together with the 2016 Half-Way National Health and Nutrition Survey (ENSANUTMC). To estimate the dietary patterns, we used an adapted version of the Healthy Eating Index-2015 (HEI-2015) and a quantile-based regression model to compare the HEI medians by sociodemographic characteristic. RESULTS:From 2006 to 2016, the quality of the diet of Mexican adults scored under 50 points on a scale of 0 to 100, markedly below the maximum scores for the majority of HEI-2015 components. Diet quality varied according to age, sex, socioeconomic status (SES), area (urban/rural) and region of residence, with the highest quality observed among older individuals (within the 40-59 age group), women, people of lower SES and residents of rural areas, particularly in southern Mexico. Although this trend remained constant overall throughout 2006, 2012 and 2016, specific HEI-2015 components showed an opposite trend by sociodemographic strata. CONCLUSION:The diet quality of Mexican adults was suboptimal from 2006 to 2016, with notorious disparities persisting over time among sociodemographic strata. Our results can serve as a basis for formulating recommendations on ways to improve the population diet, where those components diverging the most from adequate scores could be highlighted in public-health messages.

Dataset Information

Dietary patterns of Pakistani adults and their associations with sociodemographic, anthropometric and life-style factors.

Publications

Dietary patterns of Pakistani adults and their associations with sociodemographic, anthropometric and life-style factors.

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