Nutrição e Saúde

URI Permanente desta comunidade

http://repositorio.ufes.br/handle/10/17582
Programa de Pós-Graduação em Nutrição e Saúde

Centro: CCS
Telefone: (27) 3335 7017
URL do programa: http://www.nutricaoesaude.ufes.br/pt-br/apresenta%C3%A7%C3%A3o

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    Adiposidade abdominal e sua relação com consumo alimentar, estresse e qualidade de vida de profissionais de segurança pública
    (Universidade Federal do Espírito Santo, 2024-04-10) Silva Neto, Luiz Claudio Barreto; Co-orientador1; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador2; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador3; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador4; ID do co-orientador4; Lattes do co-orientador4; Orientador1; https://orcid.org/; http://lattes.cnpq.br/; Orientador2; https://orcid.org/; http://lattes.cnpq.br/; https://orcid.org/; http://lattes.cnpq.br/; 1º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 2º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 3º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 4º membro da banca; http://lattes.cnpq.br/; 5º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 6º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 7º membro da banca; https://orcid.org/; http://lattes.cnpq.br/
    Abdominal adiposity is a public health challenge that affects public safety personnel exposed to high levels of stress. This complex interaction between psychological and social factors can trigger adverse responses in the body, with a significant impact on quality of life. The main objective of this study was to evaluate abdominal adiposity and investigate its association with food consumption, stress levels, biochemical variables as well as quality of life in public security agents. This is a cross-sectional study carried out with 216 public safety personnel in the state of Espírito Santo. To assess symptoms of stress, food consumption and quality of life, the Stress Symptom Inventory (ISSL), the Food Consumption Frequency Questionnaire (QFCA) and the WHOQOL-bref were used, respectively. Statistical analyzes included chi-square tests, Mann Whitney tests, Poisson regression and multiple regression models (95% CI). There was a prevalence of overweight among public safety personnel (67.8%). It was observed that agents with a higher body mass index (BMI) had an increased prevalence of abdominal adiposity, indicating a significant association between these variables (PR: 3,35 [IC95%: 3,4-5,52; p=0,001]). Furthermore, those with greater adherence to the consumption of ultra-processed foods also showed a higher prevalence of abdominal adiposity(PR: 1,68 [IC95%: 1,51- 2,47] p=0,007. Stress symptoms were associated with a 64% increase in the risk of greater abdominal adiposity, while greater adherence to ultra-processed foods demonstrated a 10% increase in the risk of abdominal adiposity. These results highlight a bidirectional relationship between stress and abdominal adiposity, highlighting the importance of stress and the consumption of ultra processed foods in increasing the risk of abdominal adiposity. Such factors can have metabolic and systemic impacts, resulting in a deterioration in the quality of life of these professionals, highlighting the urgency of interventions in this population
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    Transição de obesidade metabolicamente saudável para obesidade não saudável em adultos do ELSA Brasil : uma análise longitudinal
    (Universidade Federal do Espírito Santo, 2024-07-23) Mendes, Fernanda Duarte; Co-orientador1; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador2; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador3; https://orcid.org/; http://lattes.cnpq.br/; Co-orientador4; ID do co-orientador4; Lattes do co-orientador4; Orientador1; https://orcid.org/; http://lattes.cnpq.br/; Orientador2; https://orcid.org/; http://lattes.cnpq.br/; https://orcid.org/; http://lattes.cnpq.br/; 1º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 2º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 3º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 4º membro da banca; http://lattes.cnpq.br/; 5º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 6º membro da banca; https://orcid.org/; http://lattes.cnpq.br/; 7º membro da banca; https://orcid.org/; http://lattes.cnpq.br/
    This is a longitudinal study with baseline data (2008/10) and wave 3 (2017/19) from the Longitudinal Study of Adult Health (ELSA-Brasil). The objective is to describe the trajectory of metabolic status in individuals with obesity and the factors associated with the transition to an unhealthy status. Metabolic status was determined using blood pressure, fasting glucose and/or hemoglobin A1c, triglycerides, and HDL cholesterol. Individuals should not have a prior diagnosis of any alterations in these parameters or be taking medication to control them. If any parameter is altered, it is considered metabolically unhealthy obesity (ObMNS); otherwise, it is classified as metabolically healthy obesity (ObMS). Dietary intake was classified according to the degree of food processing, based on the NOVA classification. Physical activity was measured using the International Physical Activity Questionnaire (IPAQ). Sociodemographic variables were collected through a standardized questionnaire, with interviews conducted at each ELSA-Brasil center. For statistical analyses, the Student's t-test and/or Mann-Whitney test were used for continuous variables, and the chi-square or Fisher's exact test for categorical variables. SPSS software version 21.0 was used, with a significance level of 5%. Among the 190 ObMS participants included at baseline, 75.8% transitioned to ObMNS status after an average follow-up of 7.7 years. Alcohol use was considered a risk factor for the transition of metabolic status [RR: 1.359 (95% CI: 1.005 - 1.838)]. Additionally, each 1 cm increase in waist circumference (WC) contributed to a 1% increase in the risk of transitioning from healthy to unhealthy metabolic status [RR: 1.011 (95% CI: 1.004 - 1.018)]. It can be concluded that metabolic health is transient, as most participants transitioned from ObMS to ObMNS. Alcohol consumption was associated with a higher risk of metabolic status deterioration. Furthermore, the accumulation of visceral fat appears to influence the risk of changes in metabolic status. Therefore, it is emphasized that classifying individuals with obesity is important to identify metabolic status and the presence of risk factors for losing a healthy status