ABSTRACT
ABSTRACT Objective This study aimed at examining whether food consumption varies in accordance with socio-demographic and behavioral factors in the conceptual model, analyzing adult women in Tehran, Iran, for that purpose. Methods This cross-sectional study was conducted with 247 women in childbearing age, who were selected through systematic cluster sampling from five regions in Tehran. Dietary assessment was done through a Food Frequency Questionnaire, and the anthropometric indices were measured. Data on socio-economic status and information-motivation-behavioral skills model were obtained through a questionnaire. Then, subjects were stratified according to the socio-economic status and model components. Statistical analysis was done using analysis of variance and structural equation modeling. Results Consumption of food groups among the participating women differed based on their living region, education, occupation, household expenditure, and model components (p<0.05). Intake of red and processed meat (p<0.05) was at the lowest level in illiterate or low educated women. Those with lower total expenditure had higher consumption of fats and oils (p<0.05). Women with higher perceived social support consumed more milk and dairy products (p<0.05), fats and oils (p<0.05), and less bread and cereals (p<0.05). Model components including information, attitude, social support, self-efficacy, and self-regulation were the most important factors negatively affecting the consumption of unhealthy foods (red and processed meat, fats and oils, sugar, and salty foods). Conclusion Considering the impact of model components on women's eating behaviors, the specific integration strategies delineated for each construct of the model can be utilized to design model-based interventions targeting the promotion of healthy nutritional behavior.
RESUMO Objetivo Este estudo buscou examinar se o consumo de alimentos varia de acordo com fatores sociodemográficos e comportamentais no modelo conceitual entre mulheres adultas em Teerã, Irã. Métodos Este estudo transversal foi conduzido em 247 mulheres em idade reprodutiva, selecionadas por amostragem sistemática por conglomerados de cinco regiões de Teerã. A avaliação da dieta foi realizada por meio de um questionário de frequência alimentar, e os índices antropométricos foram medidos. Os dados sobre o status socioeconômico e o modelo de habilidades de informação-motivação-comportamento foram obtidos através de um questionário. Em seguida, os sujeitos foram estratificados conforme o status socioeconômico e os componentes do modelo. A análise estatística utilizou análise de variância e modelagem de equações estruturais. Resultados O consumo de grupos de alimentos entre as mulheres participantes diferiu de acordo com a região onde vivem, educação, ocupação, gasto familiar e componentes do modelo (p<0,05). A ingestão de carne vermelha e processada (p<0,05) foi mais baixa entre mulheres analfabetas ou com baixa escolaridade. Aquelas com menor gasto total apresentaram maior consumo de gorduras e óleos (p<0,05). Mulheres com maior apoio social percebido consumiram mais leite e derivados (p<0,05), gorduras e óleos (p<0,05) e menos pão e cereais (p<0,05). Os componentes do modelo, incluindo informação, atitude, apoio social, autoeficácia e autorregulação, foram os fatores mais importantes que afetaram negativamente o consumo de alimentos não saudáveis (carne vermelha e processada, gorduras e óleos, açúcar e alimentos salgados). Conclusão Considerando o impacto dos componentes do modelo nos comportamentos alimentares das mulheres, as estratégias de integração específicas delineadas para cada construto do modelo podem ser utilizadas para projetar intervenções baseadas em modelos visando promover um comportamento nutricional saudável.
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Humans , Female , Adult , Middle Aged , Social Class , Women , Latent Class AnalysisABSTRACT
To the best of our knowledge, no information is available to link major dietary patterns to stunting during childhood, although dietary patterns are associated with chronic diseases. This study was conducted to determine the relationship between major dietary patterns and stunting in the first grade pupils of Tehran in 2009. In this case-control study, 86 stunted children (defined as height-for-age of less than the 5th percentile of CDC2000 cutoff points) were enrolled from among 3,147 first grade pupils of Tehran, selected using a multistage cluster random-sampling method. Participants for the control group (n=308) were selected randomly from non-stunted children (height-for-age more than the 5th percentile of CDC2000 cutoff points), after matching for age, sex, and area of residence. Dietary data were collected using two 24- hour dietary recalls through face-to-face interview with mothers. Factor analysis was used for identifying major dietary patterns. Mean consumption of dairy products (308±167 vs 382±232 g/day, p<0.05), dried fruits and nuts (2.58±9 vs 7.15±26 g/day, p<0.05) were significantly lower among stunted children than those in the control group. Three major dietary patterns were identified: ‘traditional dietary pattern’ that was dominated by bread, potato, fats, eggs, flavours, vegetables other than leafy ones, sugar, drinks, and fast food; ‘mixed dietary pattern’ that was dominated by leafy vegetables, fast foods, nuts, fats, cereals other than bread, fruits, legumes, visceral meats, sugars, eggs, and vegetables other than leafy vegetables; and ‘carbohydrate-protein pattern’ that was dominated by sweets and desserts, poultry, dairy, fruits, legumes, and visceral meats. No significant relationships were found between traditional and mixed dietary patterns and stunting. Individuals in the third quartile of carbohydrate-protein dietary pattern were less likely to be stunted compared to those in the bottom quartile (OR: 0.31, 95% CI 0.13-0.78, p<0.05). Adherence to dietary patterns high in protein (e.g. dairy, legumes, and meat products) and carbohydrates (e.g. fruits, sweets, and desserts) might be associated with reduced odds of being stunted among children.