Following up with recovered coronavirus disease 2019 (COVID-19) patients is necessary. Given the importance of psychological function accompanied by significant effects of food quality, we want to examine the association between food quality score (FQS) and mental disorders among recovered COVID-19 patients. This case-control study was performed on 246 eligible adults. A validated food frequency questionnaire (FFQ) was used to evaluate dietary intake. We using Depression Anxiety Stress Scales, Insomnia Severity Index, Pittsburgh Sleep Quality Index, and 36-Item Short Form Health Survey questionnaires to evaluate the psychological function. Logistic regression analysis was conducted to estimate the odds ratio (OR) and 95% confidence intervals (CIs) for score categories of the FQS index and psychological function in multivariate-adjusted models. Only in case subjects, we found significant associations between adherence to the FQS diet and depression, anxiety, and stress in the crude model (OR, 0.796, 95% CI, 0.661–0.958, p = 0.016; OR, 0.824, 95% CI, 0.707–0.960, p = 0.013; OR, 0.824, 95% CI, 0.709–0.956, p = 0.011, respectively). These associations remained significant in all two adjusted models. However, no significant associations were found between FQS and psychological functions in the control group. Our data suggests that overall food quality intake is associated with depression, anxiety, and stress symptoms during the post-infection period. Also, adequate daily intakes of fruits, legumes, nuts, and whole grains are associated with reduced risks of psychological impairment and sleep disorders which are common among recovered patients.
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Obesity and overweight pose a significant public health problem, as they are associated with an elevated risk of metabolic syndrome (MetS). Several studies have shown that diet quality is associated with the development of MetS risk factors. Analyzing dietary patterns may be more helpful in determining the relationship between eating habits and chronic diseases compared to focusing on single foods or nutrients. In this study, our
objective
was to evaluate the association of food quality score (FQS) with risk factors for MetS in individuals with obesity and overweight. The participants in this cross-sectional study were 340 adults with overweight and obesity. Participants’ food intake was measured using a Food Frequency Questionnaire, then the FQS was calculated. A fasting blood sample assessed serum glucose, triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol, and serum insulin levels. Fat-free mass, height, basal metabolic rate, socio-economic score, and waist-to-hip ratio significantly differed among FQS tertiles. TC, systolic and diastolic blood pressure, and fasting blood glucose were significantly lower in the highest tertile of FQS. After multivariable adjustment, our results showed that individuals in the third tertile of FQS had reduced risk of higher levels of TC (odds ratio [OR], 0.982; 95% confidence interval [CI], 0.970–0.984) and higher levels of low-density lipoprotein cholesterol (OR, 0.974; 95% CI, 0.974–0.999). Our findings demonstrate an inverse relationship between diet quality, as measured by FQS, and MetS risk factors. However, further experimental and longitudinal investigations are warranted to elucidate the causal nature of this association.
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Dietary diversity score (DDS) is known as an indicator of food quality. Dietary diversity can promote health status. The aim of this study was determined DDS and its related factors in Kermanshah University of Medical Sciences (KUMS) employees. This cross-sectional study was conducted on 190 employees of KUMS in 2015. According to the population of KUMS centers which were selected randomly (Paramedical, Public Health faculties, Imam Reza Hospital and province health center), subjects were selected by convenience sampling method. Food frequency questionnaire (FFQ) was used to calculate DDS. Foods were divided into 5 main groups: grains, vegetables, fruits, meat, and dairy products. The main groups had 23 subgroups. Total DDS divided to 4 quartiles: less than 3.0, 3.0–5.5, 5.6–8.5, and more than 8.5. Anthropometric parameters including: weight, height, waist circumference (WC), and hip circumference were measured. Data were analyzed by Kolmogorov-Smirnov test, χ2 test, and analysis of variance (ANOVA) test with SPSS 20 software (IBM Corp., Chicago, IL, USA). The mean ± standard deviation of DDS and body mass index (BMI) were 5.68 ± 1.73 and 25.1 ± 3.42 kg/m2, respectively. The average of the waist-to-hip ratio (WHR) in men and women was 0.92 ± 0.04 and 0.86 ± 0.06, respectively. There was statistically significant difference between DDS and self-reported economic status (p < 0.022). No significant difference was observed between DDS and BMI or WC. However, significant negative correlation was observed between DDS and WHR in men (p < 0.019). This study showed that DDS had a negative correlation with the WHR. Therefore, dietary diversity may improve health status by effect on fat distribution in body.
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