scholarly journals Dietary patterns of farmers and their relation with sociodemographic, labor, and lifestyle conditions: Brazilian rural population-based study

2019 ◽  
Author(s):  
Monica Cattafesta ◽  
Glenda Blaser Petarli ◽  
Tamires Conceição da Luz ◽  
Eliana Zandonade ◽  
Olívia Maria de Paula Alves Bezerra ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Rural Areas ◽  
Rural Population ◽  
Eating Habits ◽  
Principal Component ◽  
Population Based ◽  
Southeastern Brazil ◽  
Cross Sectional ◽  
Food Pattern ◽  
Processed Products

Abstract Background : The eating habits have changed in the last few decades, but few studies prioritize the food consumption of farmers and the rural population. Therefore, the objective of this study was to define the dietary patterns of farmers in a Brazilian municipality and evaluate their association with sociodemographic, occupational and lifestyle factors. Methods : This is a cross-sectional epidemiological study of 740 farmers (51.5%, n=381 males) from a municipality in Southeastern Brazil. Food intake data were obtained by applying three 24-hour recalls and dietary intake was presented in dietary patterns determined by Principal Component Analysis with varimax orthogonal rotation. Results : Three dietary patterns were identified. The first pattern, “local traditional”, was associated with sociodemographic and labor variables, being considered typical of the region's farmer. The permanence of a “traditional Brazilian” pattern and the occurrence of an “industrialized” pattern were also observed. Individuals aged 50 and over years were 82% less likely (OR 0.18, 95% CI 0.10–0.30) to adhere to “industrialized” pattern than those aged 30 and under. Still, individuals of socioeconomic class D or E were 52% less likely to adhere to this pattern (OR 0.48, 95% CI 0.24–0.96). Farmers who spent R$ 200 or more per capita to buy food were more than twice as likely to adhere to this food pattern (OR 2.22, 95% CI 1.32–3.73), and who had the habit of frequently eating out were 1.62 as likely adhere to “industrialized” pattern (95% CI 1.11–2.36). Conclusions : The findings indicate changes in dietary patterns in rural areas of the country, maintaining a traditional Brazilian pattern, as well as a local and an industrialized pattern. This last pattern demonstrates that the contemporary rural population also opts for a diet with ultra-processed products, being associated with the characteristic habits of a more urbanized rural region.

scholarly journals Dietary patterns of Brazilian farmers and their relation with sociodemographic, labor, and lifestyle conditions

2020 ◽  
Author(s):  
Monica Cattafesta ◽  
Glenda Blaser Petarli ◽  
Tamires Conceição da Luz ◽  
Eliana Zandonade ◽  
Olívia Maria de Paula Alves Bezerra ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Rural Areas ◽  
Rural Population ◽  
Eating Habits ◽  
Principal Component ◽  
Southeastern Brazil ◽  
Cross Sectional ◽  
Conventional Agriculture ◽  
24 Hour Recall ◽  
Processed Products

Abstract Background: The eating habits have changed in the last few decades, but few studies prioritize the food consumption of farmers and the rural population. Therefore, the objective of this study was to define the dietary patterns of farmers in a Brazilian municipality and evaluate their association with sociodemographic, occupational and lifestyle factors. Methods: This is a cross-sectional epidemiological study of 740 farmers (51.5%, n=381 males; 48.5%, n=359 females) from a municipality in Southeastern Brazil. Food intake data were obtained by applying multipass 24-hour recall and dietary intake was presented in dietary patterns determined by Principal Component Analysis with varimax orthogonal rotation. Results: Three dietary patterns were identified. The first pattern, “local traditional”, was associated with sociodemographic and labor variables, being considered typical of the region's farmer as white race/color (p=0.003), not extra-physical activity (p=0.014) and cultivating 5 or more crops (p=0.005). The permanence of a “traditional Brazilian” pattern and the occurrence of an “industrialized” pattern were also observed. Farmers working in non-conventional agriculture were 54% less adhere to “traditional Brazilian” pattern (OR 0.46, 95% CI 0.25–0.86, p=0.014). Individuals aged 50 and over years were 82% less likely (OR 0.18, 95% CI 0.10–0.30) to adhere to “industrialized” pattern. Still, individuals of lower socioeconomic class were 52% less likely to adhere to this pattern (OR 0.48, 95% CI 0.24–0.96). Farmers who spent R$ 200 or more per capita to buy food were more than twice as likely to adhere to this food pattern (OR 2.22, 95% CI 1.32–3.73), and who had the habit of frequently eating out were 1.62 as likely adhere to “industrialized” pattern (95% CI 1.11–2.36). Conclusions: The findings indicate changes in dietary patterns in rural areas of the country, maintaining a traditional Brazilian pattern, as well as a local and an industrialized pattern. This last pattern demonstrates that the contemporary rural population also opts for a diet with ultra-processed products, being associated with the characteristic habits of a more urbanized rural region.

scholarly journals Dietary patterns of Brazilian farmers and their relation with sociodemographic, labor, and lifestyle conditions

2020 ◽  
Author(s):  
Monica Cattafesta ◽  
Glenda Blaser Petarli ◽  
Tamires Conceição da Luz ◽  
Eliana Zandonade ◽  
Olívia Maria de Paula Alves Bezerra ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Rural Areas ◽  
Rural Population ◽  
Eating Habits ◽  
Principal Component ◽  
Southeastern Brazil ◽  
Cross Sectional ◽  
Conventional Agriculture ◽  
24 Hour Recall ◽  
Processed Products

Abstract Background: The eating habits have changed in the last few decades, but few studies prioritize the food consumption of farmers and the rural population. In this scenario, the objective of this paper was to define the dietary patterns of farmers in a Brazilian municipality and explore the sociodemographic, occupational and lifestyle factors to the high adherence these dietary patterns. Methods: This is a cross-sectional epidemiological study of 740 farmers (51.5%, n=381 males; 48.5%, n=359 females) from a municipality in Southeastern Brazil. Food intake data were obtained by applying multipass 24-hour recall and dietary intake was presented in dietary patterns determined by Principal Component Analysis with varimax orthogonal rotation.Results: Three dietary patterns were identified. The first pattern, “local traditional”, was associated with sociodemographic and labor variables, being considered typical of the region's farmer as white race/color (p=0.003), not extra-physical activity (p=0.014) and cultivating 5 or more crops (p=0.005). The permanence of a “traditional Brazilian” pattern and the occurrence of an “industrialized” pattern were also observed. Farmers working in non-conventional agriculture were 54% less adhere to “traditional Brazilian” pattern (OR 0.46, 95% CI 0.25–0.86, p=0.014). Individuals aged 50 and over years were 82% less likely (OR 0.18, 95% CI 0.10–0.30) to adhere to “industrialized” pattern. Still, individuals of lower socioeconomic class were 52% less likely to adhere to this pattern (OR 0.48, 95% CI 0.24–0.96). Farmers who spent R$ 200 or more per capita to buy food were more than twice as likely to adhere to this food pattern (95% CI 1.32–3.73), and who had the habit of frequently eating out were 1.62 as likely adhere to “industrialized” pattern (95% CI 1.11–2.36). Conclusion: The findings indicate changes in dietary patterns in rural areas of the country, maintaining a traditional Brazilian pattern, as well as a local and an industrialized pattern. This last pattern demonstrates that the contemporary rural population also opts for a diet with ultra-processed products, being associated with the characteristic habits of a more urbanized rural region.

scholarly journals Dietary patterns in India and their association with obesity and central obesity

2015 ◽  
Vol 18 (16) ◽  
pp. 3031-3041 ◽  
Author(s):  
Ambika Satija ◽  
Frank B Hu ◽  
Liza Bowen ◽  
Ankalmadugu V Bharathi ◽  
Mario Vaz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dietary Patterns ◽  
Central Obesity ◽  
Principal Component ◽  
Cross Sectional ◽  
Animal Food ◽  
Food Pattern ◽  
Rural And Urban ◽  
Migration Study ◽  
Urban Migrant

AbstractObjectiveObesity is a growing problem in India, the dietary determinants of which have been studied using an ‘individual food/nutrient’ approach. Examining dietary patterns may provide more coherent findings, but few studies in developing countries have adopted this approach. The present study aimed to identify dietary patterns in an Indian population and assess their relationship with anthropometric risk factors.DesignFFQ data from the cross-sectional sib-pair Indian Migration Study (IMS; n 7067) were used to identify dietary patterns using principal component analysis. Mixed-effects logistic regression was used to examine associations with obesity and central obesity.SettingThe IMS was conducted at four factory locations across India: Lucknow, Nagpur, Hyderabad and Bangalore.SubjectsThe participants were rural-to-urban migrant and urban non-migrant factory workers, their rural and urban resident siblings, and their co-resident spouses.ResultsThree dietary patterns were identified: ‘cereals–savoury foods’ (cooked grains, rice/rice-based dishes, snacks, condiments, soups, nuts), ‘fruit–veg–sweets–snacks’ (Western cereals, vegetables, fruit, fruit juices, cooked milk products, snacks, sugars, sweets) and ‘animal-food’ (red meat, poultry, fish/seafood, eggs). In adjusted analysis, positive graded associations were found between the ‘animal-food’ pattern and both anthropometric risk factors. Moderate intake of the ‘cereals–savoury foods’ pattern was associated with reduced odds of obesity and central obesity.ConclusionsDistinct dietary patterns were identified in a large Indian sample, which were different from those identified in previous literature. A clear ‘plant food-based/animal food-based pattern’ dichotomy emerged, with the latter being associated with higher odds of anthropometric risk factors. Longitudinal studies are needed to further clarify this relationship in India.

scholarly journals A Healthy Diet Is Not More Expensive than Less Healthy Options: Cost-Analysis of Different Dietary Patterns in Mexican Children and Adolescents

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3871
Author(s):  
Patricia Clark ◽  
Carlos F. Mendoza-Gutiérrez ◽  
Diana Montiel-Ojeda ◽  
Edgar Denova-Gutiérrez ◽  
Desirée López-González ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Dietary Patterns ◽  
Pediatric Population ◽  
Principal Component ◽  
Population Based ◽  
Healthy Diet ◽  
Healthy Children ◽  
Cross Sectional ◽  
Mexican Children ◽  
The Cost

Unhealthy diets are recognized as a major risk factor for many diseases. The decrease in costs of industrialized products, as well as the possible misinformation about a healthy diet, has led to new behaviors in the dietary patterns of the pediatric population. The costs of dietary patterns have not been estimated in our population, so the objective of this study was to determine the cost associated with dietary patterns in Mexican children and adolescents, hypothesizing that a healthy diet is not necessarily more economically expensive. This study analyzed data from a population-based cross-sectional study of healthy children and adolescents in Mexico City. Data were collected from a food frequency questionnaire and the meal cost of habitual food shopping. Eating patterns were obtained by using principal component analysis. A micro-costing technique was performed to obtain the direct costs of each pattern. When comparing the healthy pattern with the transition and non-healthy patterns, it was observed that there were no statistically significant differences between the dietary patterns (p = 0.8293). The cost of the healthy pattern only takes up 16.6% of the total biweekly income of a salaried Mexican. In this study, no differences were observed between the costs of a healthy and a less healthy diet.

scholarly journals Sociodemographic and lifestyle characteristics in relation to dietary patterns among young Brazilian adults

2010 ◽  
Vol 14 (1) ◽  
pp. 150-159 ◽  
Author(s):  
Maria Teresa A Olinto ◽  
Walter C Willett ◽  
Denise P Gigante ◽  
Cesar G Victora
Keyword(s):  
Cohort Study ◽  
Dietary Patterns ◽  
Population Based ◽  
Social Position ◽  
Policy Implications ◽  
Birth Cohort Study ◽  
Processed Food ◽  
Cross Sectional ◽  
Food Pattern ◽  
High Adherence

AbstractObjectiveTo identify dietary patterns among young adults and the relationships with socio-economic, demographic and lifestyle characteristics.DesignPopulation-based, cross-sectional analysis of a cohort study. Food intake was assessed by a frequency questionnaire, and dietary patterns were identified using principal components analysis.SettingSouthern Brazil.SubjectsA total of 4202 men and women aged 23 years, who participated in the 1982 Pelotas Birth Cohort Study.ResultsFive dietary patterns were identified: common Brazilian, processed food, vegetable/fruit, dairy/dessert and tubers/pasta. Subjects who had low own or maternal educational levels, low social position or who were always poor throughout life had high adherence to the common Brazilian dietary pattern. In contrast, the processed food pattern was more likely to be followed by those belonging to middle and high social position and who were never poor. Men and smokers showed high adherence to the processed food and common Brazilian dietary patterns. Vegetable/fruit pattern was more likely to be followed by women and subjects engaged in physical activity. Women also showed high adherence to the dairy/dessert pattern.ConclusionsOur study among young Brazilian adults has identified distinct dietary patterns that are clearly influenced by socio-economic and lifestyle characteristics, which have important policy implications in a country with marked social and economic inequalities.

scholarly journals Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil

2010 ◽  
Vol 104 (6) ◽  
pp. 908-913 ◽  
Author(s):  
Diana Barbosa Cunha ◽  
Renan Moritz Varnier Rodrigues de Almeida ◽  
Rosely Sichieri ◽  
Rosangela Alves Pereira
Keyword(s):  
Waist Circumference ◽  
Low Income ◽  
Dietary Patterns ◽  
Eating Habits ◽  
Linear Regression Analysis ◽  
Positive Association ◽  
Population Based ◽  
Cross Sectional Study ◽  
Protective Role ◽  
Cross Sectional

Traditional analysis of food intake usually fails to show an association between energy and nutrient intake and indicators of obesity. The analysis of food patterns can contribute to the understanding of the association between eating habits and anthropometric indicators. A population-based cross-sectional study was carried out on a low-income neighbourhood in the Rio de Janeiro metropolitan area, and 1009 subjects between 20 and 65 years of age completed an FFQ. Dietary patterns were identified by means of factor analysis, and their associations with BMI and waist circumference (WC) were ascertained by applying a linear regression analysis. Three main dietary patterns were identified: a mixed pattern, which included cereals, fish and shrimp, vegetables, roots, fruits, eggs, meat and caffeinated beverages; a Western pattern, which consisted of ‘fast foods’, soft drinks, juices, cakes, cookies, milk and dairy, sweets and snacks; a traditional pattern, which included rice, beans, bread, sugar, fats and salad dressings. After adjusting for age and energy intake, we found that the traditional dietary pattern was inversely associated with BMI (β = − 1·14, P < 0·001) and WC (β = − 14·9, P = 0·002) among females. Additionally, a positive association between the Western pattern and WC (β = 12·8, P = 0·02) was observed for females. A diet based on rice and beans may have a protective role against weight gain in women.

scholarly journals Urban and rural dietary patterns are associated with anthropometric and biochemical indicators of nutritional status of adolescent Mozambican girls

2017 ◽  
Vol 21 (6) ◽  
pp. 1057-1064 ◽  
Author(s):  
Helena H Hauta-alus ◽  
Liisa Korkalo ◽  
Riitta Freese ◽  
Carina Ismael ◽  
Marja Mutanen
Keyword(s):  
Nutritional Status ◽  
Dietary Patterns ◽  
Principal Component ◽  
Population Based ◽  
Cross Sectional Study ◽  
Serum Folate ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Biochemical Indicators ◽  
Resource Setting

AbstractObjectiveThe objective of the present study was to explore whether dietary patterns (DP) are associated with nutritional status indicators among adolescent Mozambican girls.Design/Setting/SubjectsIn this population-based cross-sectional study we used the FFQ data of 547 girls aged 14–19 years from Central Mozambique to derive dietary patterns by means of principal component analysis. We used two-level linear regression models to examine the associations between the DP and anthropometric and biochemical indicators of nutritional status.ResultsWe identified three DP: ‘Urban bread and fats’, ‘Rural meat and vegetables’ and ‘Rural cassava and coconut’. The ‘Urban bread and fats’ DP was positively associated with BMI-for-age Z-score (BMIZ), mid-upper arm circumference (MUAC), triceps skinfold (P for all<0·001) and blood Hb (P=0·025). A negative association was observed between the ‘Urban bread and fats’ DP and serum folate (P<0·001). The ‘Rural meat and vegetables’ DP and the ‘Rural cassava and coconut’ DP were associated negatively with BMIZ, MUAC and triceps skinfold (P for all<0·05), but the ‘Rural meat and vegetables’ DP was associated positively with serum ferritin (P=0·007).ConclusionsUrban and rural DP were associated with nutritional status indicators. In a low-resource setting, urban diets may promote body fat storage and blood Hb concentrations but compromise serum folate concentration. It is important to continue valuing the traditional, rural foods that are high in folate.

scholarly journals Dietary patterns and the risk of metabolic syndrome in Chinese adults: a population-based cross-sectional study

2018 ◽  
Vol 21 (13) ◽  
pp. 2409-2416 ◽  
Author(s):  
Zhi-Yong Wei ◽  
Jun-Jie Liu ◽  
Xue-Mei Zhan ◽  
Hao-Miao Feng ◽  
Yuan-Yuan Zhang
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Multivariate Logistic Regression Analysis ◽  
High Energy ◽  
Population Based ◽  
Cross Sectional ◽  
Animal Food ◽  
Food Pattern ◽  
Increased Risk ◽  
Reduced Risk

AbstractObjectiveData on dietary patterns in relation to the risk of metabolic syndrome (MetS) in a middle-aged Chinese population are sparse. The present study was performed to determine the major dietary patterns among a population aged 45–59 years and to evaluate their associations with MetS risk in China.DesignCross-sectional examination of the association between dietary patterns and MetS. Face-to-face interviews were used to assess dietary intake using a validated semi-quantitative FFQ. OR and 95 % CI for MetS were calculated across quartiles of dietary pattern scores using multivariate logistic regression analysis models.SettingCity of Linyi, Shandong Province, China.SubjectsAdults (n 1918) aged 45–59 years.ResultsThree major dietary patterns were identified: traditional Chinese, animal food and high-energy. After adjustment for potential confounders, individuals in the highest quartile of the traditional Chinese pattern had a reduced risk of MetS relative to the lowest quartile (OR=0·72, 95 % CI 0·596, 0·952; P<0·05). Compared with those in the lowest quartile, individuals in the highest quartile of the animal food pattern had a greater risk of MetS (OR=1·28; 95 % CI 1·103, 1·697; P<0·05). No significant association was observed between the high-energy pattern and risk of MetS.ConclusionsThese findings indicate that the traditional Chinese pattern was associated with a reduced risk, while the animal food pattern was associated with increased risk of MetS. Given the cross-sectional nature of our study, further prospective studies are warranted to confirm these findings.

scholarly journals Dietary patterns of the Andean population of Puna and Quebrada of Humahuaca, Jujuy, Argentina

2008 ◽  
Vol 99 (2) ◽  
pp. 390-397 ◽  
Author(s):  
D. Romaguera ◽  
N. Samman ◽  
A. Rossi ◽  
C. Miranda ◽  
A. Pons ◽  
...  
Keyword(s):  
Diet Quality ◽  
Dietary Patterns ◽  
Rural Areas ◽  
Urban Areas ◽  
Representative Sample ◽  
Nutrition Transition ◽  
Principal Component ◽  
Double Burden ◽  
Cross Sectional ◽  
High Level

The aim of the present study was to describe dietary patterns in a representative sample from Puna and Quebrada of Humahuaca, Jujuy, Argentina. A cross-sectional nutritional survey was carried out in a representative sample (n 1236) of individuals from these regions. For the present study, only children aged 2–9 years (n 360), adolescents aged 10–18 years (n 223) and adults aged 18 years or over (n 465) were considered. Breast-fed children, pregnant women and lactating women were excluded. Dietary data collection methods comprised one 24 h recall and a semi-quantitative FFQ. We used principal component (PC) analyses to identify prevailing dietary patterns. Multiple linear regression analyses were performed to assess the determinants of the identified dietary patterns. Two dominant PC were identified: PC1 reflected a ‘Western-like’ diet with an emphasis on not-autochthon foods. This pattern tended to be present in urban areas of the Quebrada region and was associated with a younger age, a higher level of development, and a worse diet quality. PC2 reflected an ‘Andean-like’ diet including a variety of autochthon crops. This was preferred by individuals living in rural areas from Puna with a high level of development during the post-harvest season, and was associated with a greater diet quality. These results suggest that the nutrition transition phenomenon is a reality in certain sectors of this population and might be one of the leading causes of the observed double burden of malnutrition.

scholarly journals Diet and nutrient status of legume consumers in Sweden: a descriptive cross-sectional study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Céline A. Steib ◽  
Ingegerd Johansson ◽  
Mohammed E. Hefni ◽  
Cornelia M. Witthöft
Keyword(s):  
Vitamin D ◽  
Dietary Patterns ◽  
Eating Habits ◽  
Principal Component ◽  
Nutrient Status ◽  
Cross Sectional Study ◽  
Partial Least Square ◽  
Least Square ◽  
Dietary Recommendations ◽  
Cross Sectional

Abstract Background Legumes are nutrient-dense foods and can be an environmentally sustainable alternative to meat consumption. Data on legume intake are scarce and data on legume consumption in Sweden are lacking. This study investigated dietary intake and dietary patterns, together with iron, vitamin D, and folate status, in relation to legume consumption in Sweden. Methods Cross-sectional dietary and biomarker data (n 1760) from the 2011 Riksmaten national survey were analyzed. All legume foods (including soy) were identified from 4-day dietary records and ferritin, folate, and vitamin D status in a subgroup (n 280). Participants were classified into non-consumers and quartiles of legume intake. Principal Component Analysis (PCA) was performed to uncover dietary patterns associated with legume intake. Partial Least Square (PLS) regression was used to identify variables associated with variations in legume consumption. Results Legumes were consumed by 44% of the population, with mean (SD) intake of 138 (84) g/d in the highest and 11 (5) g/d in the lowest quartiles. Among consumers, 6% reported being vegetarian, compared with 0.9% among non-consumers. Legume consumers drank less alcohol, but had higher intakes of energy, dietary fiber, folate, thiamin, and several minerals, and more often met recommended intake levels for folate and fiber, critical nutrients in Sweden. Biomarker status did not differ with legume intake. PCA revealed multiple loadings on legumes that generally reflected healthier eating habits for legume-consuming women. PLS revealed that vegetarianism was most influential for high legume intake. Other influential variables were high fruit, tea, nut, and seed intakes. High intake of meat, sodas, fast foods, and sweet foods, together with omnivorism, were influential for low legume intake. The associations were similar for men and women. Conclusions This study supports dietary recommendations on inclusion of legumes in a healthy diet. Greater focus on assessment of legume intake is necessary to explore the population-wide health effects of legumes as sustainable meat alternatives, and to reinforce national nutritional guidelines.

Sign in / Sign up

Export Citation Format

Share Document