Food consumption of users of the Primary Health Care network, with chronic non-communicable diseases in Ponta Grossa, Paraná: cross-sectional study, 2023
DOI:
https://doi.org/10.1590/SciELOPreprints.10232Keywords:
Obesity, Diabetes, HypertensionAbstract
Objective: to evaluate the food consumption of users of Primary Health Care (PHC) with chronic non-communicable diseases (NCDs). Methods: Cross-sectional study,
developed from the Capacita Chronic Diseases Project, in 8 basic health units with 280 users, over 18 years old, with one or more of the NCDs selected for the study (obesity,
diabetes and/or hypertension). Sociodemographic and economic data, past health history and dietary frequency were collected using two forms. An association was found
between food consumption and socioeconomic, demographic and health condition variables. Results: The majority of users were women (74.3%), white users were more frequent (75.7%) and the average age was 59.8 years. The majority were married (53.9%) and retired (38.6%). The most common level of education was primary education (61.8%) and income was 1-3 minimum wages (58.9%). The most consumed foods (in average score) were: fresh or minimally processed foods (2.9±1.1), followed by culinary ingredients (2.8±1.7), processed foods (2.2± 0.9) and, finally, ultra processed foods (1.8±0.9). The socioeconomic variable education (n=10), the demographic housing situation (n=15) and the health condition diabetes (n=10) were those that reached the highest quantity of foods/food groups with statistically significant differences. Conclusion: Although fresh or minimally processed foods are the basis of users' diet, the intake of ultra-processed foods is still frequent, which is mainly influenced by education, housing situation and the presence of diabetes.
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Copyright (c) 2024 Sunali Batistel szczerepa, Pollyanna Kássia de Oliveira Borges, Erildo Vicente Muller, Denilson de Castro Teixeira, Clisia Mara Carreira, Eduardo Bauml Campagnoli, Sofia Lira Chiodi

This work is licensed under a Creative Commons Attribution 4.0 International License.
Funding data
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Conselho Nacional de Desenvolvimento Científico e Tecnológico
Grant numbers 443320/2020-9
Plaudit
Data statement
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The research data is contained in the manuscript


