Dietary Patterns and Nutritional Health of Women: The Nutrition Transition in Rural Tanzania

Abstract

Background. Many developing countries are experiencing a rapid nutrition transition in urban areas.Objective. (ρ = 0.192, p = .005) and between the animal products pattern and wealth (ρ = 0.168, p = .002

Dietary pattern as a predictor of colorectal cancer among general health population in Arusha Tanzania: A population based descriptive study

“…The dietary patterns derived from this data resembled those from previous studies which used similar factor analytic approach (Chen et al, 2015;Keding et al, 2011). What we labeled as a western dietary pattern was similar to two dietary patterns found in the breast cancer study in the northern Tanzania.…”

“…To the authors" knowledge, this study is unique in Tanzania considering the link between CRC and dietary patterns. Previous aligned works have included a study linking dietary pattern and breast cancer (Jordan et al, 2013) and one demonstrating a relationship between dietary pattern and nutrition transition among women in Tanzania (Keding et al, 2011).…”

“…This second pattern was the "purchase" pattern characterized by bread or cakes, sugar and tea. It is called the "purchase pattern" because bread and cakes, such as doughnuts, chapati, mandazi, or halfcake, are usually deep-fried or baked in oil and often bought (hence, purchased) from small shops (Keding et al, 2011).…”

“…The values were set at P = 0.42(42%) for the purchase diet to be described later (Keding et al, 2011); Z = 1.96 (at 95% confidence interval); e = 0.05. The sample size was adjusted for a nonresponse rate of 10%.…”

Padrões alimentares estimados por técnicas multivariadas: uma revisão da literatura sobre os procedimentos adotados nas etapas analíticas

“…Concerning the criteria used to group the foods obtained from collecting food intake data (step before the input of data in the multivariate techniques), 22% (n = 42) used preexisting groups from the FFQ, 14% (n = 26) adopted as a criterion the nutritional composition, 26% (n = 46) did not present any information about the used criteria, and remaining 38% (n = 75) reported: official agencies/dietary 164,172,187,191,193,198,203,204) 168,170,[174][175][176]178,179,183,184,[186][187][188][190][191][192][193]198,199,204,205) On the basis of the names of the foods 25 (42) 14 (24) 143,144,148,156,160,162,163,169,171,172,181,182,185,192,194) PCA: principal component analysis; FA: factor analysis; RRR: reduced regression rank; CVD: cardiovascular diseases; FFQ: Food Frequency Questionnaire; 24HR: 24-hour dietary recall. *Combination of two or more criteria within the same characteristic.…”