Dietary mineral intakes predict Coronavirus-disease 2019 (COVID-19) incidence and hospitalization in older adults.

BACKGROUND: The aim of this study was to determine the association between dietary mineral intake and Coronavirus-disease 2019 (COVID-19) infection and its associated hospitalization. METHODS: This cohort study utilized the MASHAD study population, which comprised individuals aged 35-65. Upon recruitment in 2007, dietary intake was documented using a validated 65-item food frequency questionnaire (FFQ). Data on COVID-19 PCR test results was collected from all relevant medical centers in Mashhad between February 2020 and June 2022. The regression model included dietary minerals and employed the backward variable selection method, along with advanced data analysis techniques. RESULTS: The final analysis involved 1957 participants, including 193 COVID-19-positive patients. The mean age was 49.71 and 50.28 years in the COVID-19-positive and negative groups, respectively (p = 0.12). Dietary intakes of magnesium, iron, and potassium were notably lower in COVID-19-positive patients (P < 0.05). Following adjustments for age and sex, dietary iron remained significantly associated with COVID-19 incidence (OR = 0.94, 95% CI: 0.90-0.98). Furthermore, a statistically significant relationship was observed between dietary zinc and hospitalization due to COVID-19 (OR = 0.69, 95% CI: 0.51-0.93). In dynamical system models, intakes of calcium, zinc, and iron below the cut-offs of 1138, 9.7, and 8.17 mg/day, respectively, were linked to an increased risk of COVID-19 incidence. CONCLUSION: Higher dietary iron and zinc intake are associated with decreased risk of COVID-19 infection and hospitalization, respectively.

Association between biochemical and hematologic factors with COVID-19 using data mining methods.

BACKGROUND AND AIM: Coronavirus disease (COVID-19) is an infectious disease that can spread very rapidly with important public health impacts. The prediction of the important factors related to the patient's infectious diseases is helpful to health care workers. The aim of this research was to select the critical feature of the relationship between demographic, biochemical, and hematological characteristics, in patients with and without COVID-19 infection. METHOD: A total of 13,170 participants in the age range of 35-65 years were recruited. Decision Tree (DT), Logistic Regression (LR), and Bootstrap Forest (BF) techniques were fitted into data. Three models were considered in this study, in model I, the biochemical features, in model II, the hematological features, and in model II, both biochemical and homological features were studied. RESULTS: In Model I, the BF, DT, and LR algorithms identified creatine phosphokinase (CPK), blood urea nitrogen (BUN), fasting blood glucose (FBG), total bilirubin, body mass index (BMI), sex, and age, as important predictors for COVID-19. In Model II, our BF, DT, and LR algorithms identified BMI, sex, mean platelet volume (MPV), and age as important predictors. In Model III, our BF, DT, and LR algorithms identified CPK, BMI, MPV, BUN, FBG, sex, creatinine (Cr), age, and total bilirubin as important predictors. CONCLUSION: The proposed BF, DT, and LR models appear to be able to predict and classify infected and non-infected people based on CPK, BUN, BMI, MPV, FBG, Sex, Cr, and Age which had a high association with COVID-19.

The association between macronutrient intakes and coronavirus disease 2019 (COVID-19) in an Iranian population: applying a dynamical system model.

AIMS: The possible role of lifestyle including diet on immunity led us to investigate the association between dietary macronutrient intake and COVID-19 in an Iranian population. METHODS: Dietary intakes were recorded in the first phase of the MASHAD cohort study (started in 2007), using a 24-h dietary recall. To determine the COVID-19 incidence, data from all PCR-positive patients in Mashhad were recorded between February 2020 and June 2022. Dietary macronutrients were included in the regression model, adjusting for age and sex. System dynamical models were also applied. RESULTS: The analysis included 1957 participants, including 193 COVID-19-positive patients. Dietary intakes of non-starch polysaccharides (NSP) and fiber were significantly lower in COVID-19 patients (P < 0.05). After adjusting for age and sex, starch and total sugar were significantly associated with COVID-19 infection ((OR = 1.0008, P = 0.001) and (OR = 1.0006, P = 0.026), respectively). There was also a significant association between dietary fiber intake and hospitalization (OR = 0.99, P = 0.018). In the dynamical system models, dietary intakes of cholesterol, polyunsaturated fatty acids (PUFA), and total sugar above 180.2 mg, 13.11 g, and 79.53 mg, respectively, were associated with an increased susceptibility to COVID-19 infection, while dietary fiber had a protective role. CONCLUSION: Dietary intake of starch and total sugars was associated with increased odds of COVID-19, while fiber intake decreased the odds of hospitalization due to COVID-19. The dynamical system models showed that dietary intake of cholesterol, PUFAs, and total sugar was associated with an increased risk of COVID-19, while fiber had a protective role.

Typhoid and Non-Typhoid Salmonellosis Related Mortality in Iran, National Data from the Ministry of Health.

Background: Despite the declining trend, salmonellosis is still an important preventable cause of death in Iran and the world, especially in certain age and occupational subgroups, and the need for preventive measures, especially raising awareness of at-risk groups, is necessary. Methods: Data were obtained from the Ministry of Health covering the years 2013 to 2019. The data were then stratified by year, season, month, and province of death as well as sex, age group, belonging to rural vs. urban communities and cause of death and were then analyzed using SPSS to report differences in age, sex, seasonal patterns, and spatial distribution. Results: Non-typhoid salmonellosis (NTS) and typhoid were recorded as the cause of 800 and 32 deaths, respectively, with the highest number in 2015 and 2013. Septicemia was the cause of 87.3% of deaths due to NTS, whereas typhoid was the cause of 62.5% of its respective cases. The highest percentage of death related to both occurred in spring (P<0.001). NTS mortality rates were higher in the 70-80 and 80-90 age groups, while typhoid mortality was greatest in the under 10 yr age group. NTS mortality was higher in urban while typhoid mortality was higher in rural areas (P<0.001). Most deaths occurred in Ardabil, Sistan and Baluchistan and Khorasan Razavi provinces and Sistan and Baluchistan, West Azerbaijan and Khorasan Razavi related to NTS and typhoid, respectively. Conclusion: Salmonella remains a preventable cause of death, especially among the elderly and children, the data gathered in this study provides important information for priority setting in specific subpopulations and food safety policy.

Predictive factors of breast cancer mammography screening among Iranian women.

Introduction: Understanding the factors that influence women's cancer screening behavior is crucial in reducing cancer mortality through early detection. Therefore, the objective of this study was to examine the status of mammography and related factors among women who presented to the health centers of Khorasan Razavi province, Iran. Methods: For this study, a sample of 251,011 women who visited healthcare centers affiliated with Mashhad University of Medical Sciences was selected. The study examined several variables, including sociodemographic information, current smoking, nutrition status, and physical exercise. All analyses were performed using Python programming language and SPSS software. Furthermore, to handle imbalanced data, we used SMOTE balancing method that is an oversampling method and produce synthetic samples from the minority class. Results: The factors of age, education, being employed, having children, family history of cancer, physical activity, smoking status, and diet were all predictors of mammography screening. Moreover, findings showed that age and family history of breast cancer were most important variables to predict mammography status, respectively. Conclusions: By examining various variables such as dietary habits, exercise, smoking, and demographic properties, it sheds light on the relationships between these factors and mammography screening. This provides valuable insights into the associations between breast cancer screening behavior and preventive lifestyle behaviors. By targeting both preventive lifestyle choices and breast cancer screening behaviors, interventions can effectively promote positive changes in behavior and ultimately reduce the incidence and impact of breast cancer.

Household food insecurity during pregnancy as a predictor of anthropometric indices failures in infants aged less than 6 months: a retrospective longitudinal study.

OBJECTIVE: To investigate the impact of household food insecurity during the third trimester of pregnancy on the growth indicators of infants aged less than 6 months. DESIGN: Retrospective longitudinal study. SETTING: 137 healthcare centres (15 cities) in Khorasan Razavi province, Iran. Data were extracted from the Sina Electronic Health Record System (SinaEHR®). PARTICIPANTS: This study was conducted on 2481 mother and infant dyads during November 2016-March 2019. The Household Food Insecurity Access Scale (nine-item version) was used to measure food insecurity in the third trimester of pregnancy. Women who delivered singleton infants were included in the study, and anthropometric indices of infants were measured throughout the first 6 months of life. RESULTS: Approximately 67 % of the participants were food secure, while 33 % had varying degrees of food insecurity. The children born to the mothers in the food-insecure households were, respectively, 2·01, 3·03, and 3·83 times more likely to be stunted at birth (95 % CI 1·17, 3·46), 4 months (95 % CI 1·21, 7·61) and 6 months of age (95 % CI 1·37, 10·68) compared to their counterparts in the food-secure households. However, there were no significant differences in mean birth weight, birth height and head circumference at birth between the two groups. CONCLUSIONS: Household food insecurity during pregnancy is a risk factor for stunting in infants aged less than 6 months. Therefore, national nutrition programs could considerably support women in food-insecure households during and before pregnancy.

Application of Random Forest Survival Models to Increase Generalizability of Decision Trees: A Case Study in Acute Myocardial Infarction.

BACKGROUND: Tree models provide easily interpretable prognostic tool, but instable results. Two approaches to enhance the generalizability of the results are pruning and random survival forest (RSF). The aim of this study is to assess the generalizability of saturated tree (ST), pruned tree (PT), and RSF. METHODS: Data of 607 patients was randomly divided into training and test set applying 10-fold cross-validation. Using training sets, all three models were applied. Using Log-Rank test, ST was constructed by searching for optimal cutoffs. PT was selected plotting error rate versus minimum sample size in terminal nodes. In construction of RSF, 1000 bootstrap samples were drawn from the training set. C-index and integrated Brier score (IBS) statistic were used to compare models. RESULTS: ST provides the most overoptimized statistics. Mean difference between C-index in training and test set was 0.237. Corresponding figure in PT and RSF was 0.054 and 0.007. In terms of IBS, the difference was 0.136 in ST, 0.021 in PT, and 0.0003 in RSF. CONCLUSION: Pruning of tree and assessment of its performance of a test set partially improve the generalizability of decision trees. RSF provides results that are highly generalizable.