Selective Hydrolysis of Ovalbumin by Zr-Based Lacunary Polyoxotungstate in Surfactant Solutions

This study aims to design an artificial metalloprotease based on a Zr-containing polyoxometalate Na8[Zr(W5O18)2] [Zr(W5)2] for the hydrolysis of ovalbumin (OVA) in the presence of different surfactants, which can be used in many areas of the biological and medical sciences, particularly for targeted proteolytic drug design. For this reason, parameters, including the free energy of binding, the chemical nature of amino acid residues, secondary structures, and electrostatic potentials, of Zr(W5)2-OVA and Zr(W5)2-OVA-surfactant were analyzed by molecular docking simulations. The investigations showed that the presence of surfactants decreases the binding affinity of Zr(W5)2 for OVA amino acids, and hydrogen bonds and van der Waals interactions are formed between Zr(W5)2 and OVA amino acids. Additionally, GROMACS further illustrated the significance of SDS and CTAB surfactants in influencing the conformational changes of the OVA that lead to selective protein hydrolysis. In agreement with molecular dynamics simulation results, the experimental analysis showed more protein hydrolysis for the Zr(W5)2-OVA-surfactant systems. For instance, circular dichroism spectroscopy indicated that Zr(W5)2-OVA-CTAB and Zr(W5)2-OVA-TX-100 were more hydrolytically efficient due to the increased level of β-structures rather than α-chains, which showed that surfactants can facilitate the accessibility of Zr(W5)2 to the cleavage sites by inducing partial unfolding of the OVA structure.

The association between paleolithic diet pattern scores and psychological disorders in Iranian adults

BACKGROUND

There is evidence indicating that the transition from traditional Paleolithic lifestyle to contemporary lifestyle plays a significant impact in the occurrence and widespread of psychological problems. This study aimed to examine the associations between the Paleolithic diet (PD) and the Paleolithic-like lifestyle and the likelihood of psychological issues in adults.

MATERIALS AND METHODS

A cross-sectional study was conducted on 7165 participants who were enrolled in the Yazd Health Study (YaHS) and Yazd Nutrition Study (TAMYZ). To evaluate the participants' food intake, a reliable 178-item semi-quantitative food frequency questionnaire (FFQ) was utilized. The PD score was computed using the food intakes of subjects received from FFQ. The study utilized the authorized Iranian version of the Depression, Anxiety, and Stress Scale (DASS 21) to evaluate psychological illnesses and stress levels.

RESULTS

The mean ± SD of PD and Paleolithic-like lifestyle scores were 38.93 ± 5.27 and 48.48 ± 5.61, respectively. Based on the findings of the present study, after adjusting for potential confounders, it seems that increasing adherence to PD alone or in combination with lifestyle factors significantly reduces the risk of anxiety (OR = 0.68, 95% CI 0.49-0.96; P-trend = 0.044 and OR = 0.68, 95% CI 0.48-0.96; P-trend = 0.047, respectively). However, significant effects on the risk of depression and stress were not observed.

CONCLUSIONS

Our research indicates that adhering to a Paleolithic diet, either alone or in conjunction with lifestyle factors, significantly reduces the risk of anxiety in the general population.

Electrocardiography changes and different stages of heart failure in central Iran: A cross-sectional study from Yazd Health Study

Background and Aims

Electrocardiography (ECG) is a widely accessible, noninvasive, and cost-effective diagnostic instrument used to evaluate patients with suspected heart failure (HF). The aim of this study is to investigate electrocardiographic changes in patients with different stages of HF in a random population of Yazd city.

Methods

This prospective cross-sectional study included 319 individuals, randomly selected, aged 40 years and more, registered in the Yazd Health Study was conducted from March 2022 to May 2023 at Afshar Hospitals. In accordance with the AHA/ACC guidelines, HF was classified into four stages (A, B, C, and D).

Results

The 159 individuals were classified in the stage 0 group, 77 were in Stage A, 65 were in Stage B, and 18 were in Stage C of HF. In the Stage 0, the PR interval (PRi) was 130.5 ± 18.1 ms, while in Stage C, it was 143.3 ± 21.9 ms, with a significant difference (p = 0.047). Similarly, the QRS interval (QRSi) increased with HF staging (p = 0.001). The frequency of diabetes mellitus (DM), hypertension (HTN), hyperlipidemia (HLP), chronic heart disease, alcoholism, and PRi, QRSi, QT interval levels were independent predictors of HF stage in multivariate regression analysis.

Conclusion

The prevalence of HF stages, as classified by the AHA/ACC guidelines, was observed, with significant correlations between ECG parameters and HF progression. abnormal rhythms, left bundle branch block, ischemia, hypertrophy, and left atrial enlargement increased with higher HF stages. Major risk factors like DM and HTN exhibited a heightened prevalence in advanced HF stages, accentuating their pivotal role in the progression of HF.

Evaluation of lifestyle and dietary inflammatory score and their relationship with the odds of depression, stress, and anxiety in adults living in Yazd, Iran; based on YaHS and TAMYZ cohort study

BACKGROUND

Mental disorders such as depression, anxiety and stress are becoming more common worldwide. The aim of this study was to examine the relationship between dietary inflammations scores (DIS) and lifestyle inflammation scores (LIS) and the risk of depression, stress, and anxiety in a large sample of Iranian adults.

METHODS

This study was based on 5579 adults (20-70 years) who participated in the Yazd Health Study (YaHS). The DIS score was calculated from the intake of 19 food groups and the LIS score was derived from four components. Multivariable logistic regression models were used to estimate the odds ratio (ORs) and 95 % confidence interval (CI) of depression, stress, and anxiety across quartiles of DIS and LIS.

RESULTS

2749 of the participants (46 % male) had anxiety, depression and stress. According to the adjusted model, there was a positive association between LIS and the risk of anxiety (OR: 1.23, 95 % CI: 1.01-1.49) and depression (OR: 1.39, 95 % CI: 1.14-1.69, P for trend: 0.03). However, there was no significant association between LIS and the risk of stress. There was also no significant association between DIS and the risk of anxiety, depression and stress.

CONCLUSIONS

This study demonstrated that higher LIS scores were associated with depression and anxiety. It is suggested that following a LIS that includes smoking status, physical activity, alcohol consumption, and body mass index as indicators of the inflammatory promoting lifestyle, may increase the risk of depression and anxiety.

Anticancer Drug Extraction from Plasma Samples Using Three-Dimensional Polyoxometalate-Based Supramolecular Frameworks as Sorbents

Four self-assembled inorganic-organic hybrid materials, namely, H{Na(H2O)3[Gd(PDA)(H2O)2]3[BW12O40]}·4H2O (1), H{Na(H2O)3[Tb(PDA)(H2O)2]3[BW12O40]}·3H2O (2), H{Na(H2O)3[Er(PDA)(H2O)3]3[BW12O40]}·H2O (3) (PDA = 1,10-phenanthroline-2,9-dicarboxylate), and [Pr3(H2O)13(pydc-OH)2][BW12O40]·12H2O (4) (pydc-OH = 4-hydroxy-2,6-pyridinedicarboxylate), were hydrothermally synthesized and structurally characterized. Hybrids 1-3 are isostructural and contain a Keggin unit, which is linked to lanthanoids to produce distinct trinuclear lanthanoid building blocks. The fragments are connected by anion-π and hydrogen bonding interactions to create 3D networks. In hybrid 4, a trimeric Pr-organic species bearing a Keggin unit forms a 2D coordination polymer, and then hydrogen bonding interactions between 2D layers lead to the formation of a 3D structure. These polyoxometalate-based frameworks were used as sorbents for the dispersive microsolid-phase extraction (D-μSPE) of two anticancer drugs (doxorubicin and epirubicin) in human plasma samples. Analytes were quantified and separated using high-performance liquid chromatography with fluorescence detection (HPLC-FLD). The method's linearity was between 0.8-500 ng mL-1 and 1.0-500 ng mL-1 for the antineoplastic drugs doxorubicin and epirubicin, respectively. The limits of detection (S/N = 3) were in the range of 0.2-0.3 ng mL-1, while the precision was in the range of 3.5-4.3%. Finally, human plasma samples from patients treated with doxorubicin or epirubicin were analyzed by using the D-μSPE-HPLC-FLD method.

The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest

BACKGROUND

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities (including obesity, insulin resistance, hypertension, and dyslipidemia), which can be used to identify at-risk populations for diabetes and cardiovascular diseases, the main causes of morbidity and mortality worldwide. The achievement of a simple approach for diagnosing MetS without needing biochemical tests is so valuable. The present study aimed to predict MetS using non-invasive features based on a successful random forest learning algorithm. Also, to deal with the problem of data imbalance that naturally exists in this type of data, the effect of two different data balancing approaches, including the Synthetic Minority Over-sampling Technique (SMOTE) and Random Splitting data balancing (SplitBal), on model performance is investigated.

RESULTS

The most important determinant for MetS prediction was waist circumference. Applying a random forest learning algorithm to imbalanced data, the trained models reach 86.9% and 79.4% accuracies and 37.1% and 38.2% sensitivities in men and women, respectively. However, by applying the SplitBal data balancing technique, the best results were obtained, and despite that the accuracy of the trained models decreased by 7.8% and 11.3%, but their sensitivity improved significantly to 82.3% and 73.7% in men and women, respectively.

CONCLUSIONS

The random forest learning method, along with data balancing techniques, especially SplitBal, could create MetS prediction models with promising results that can be applied as a useful prognostic tool in health screening programs.

The association between dietary anti-oxidant quality score and psychological disorders among Iranian adults: a population-based study

OBJECTIVE

Evidence linking relation between dietary antioxidant quality score (DAQS) and psychological disorders is limited. Therefore, this study aimed to assess relationship between DAQSs and psychological disorders including depression, anxiety and stress among Iranian adults.

METHODS

This cross-sectional study used data on 7165 participants of the recruitment phase of Yazd Health Study (YaHS) and Taghzieh Mardom-e-Yazd Study (TAMYZ). Dietary intakes and psychological problems were evaluated using a validated semi-quantitative food frequency questionnaire and the validated Iranian version of depression, anxiety and stress scale questionnaire. DAQS was calculated for each person by summing up the assigned scores to a ratio between daily consuming each of the nutrients including vitamin A, C, E, selenium, manganese, zinc and their daily recommended intake (Score of 0 for a ratio of <2/3 and 1 for a ratio of >2/3). Eventually, association between DAQS and psychological disorders was assessed via logistic regression analysis.

RESULTS

Although no significant relationship was observed between DAQS and psychological disorders in general population, a protective role was found for DAQS against anxiety only in women after adjusting history of chronic disease; age; marital status; education level; smoking status; total energy intake and physical activity level (second tertile versus first tertile: OR: 0.63, 95% CI: 0.40-0.99). However, this finding was nonsignificant after further adjustment for body mass index.

CONCLUSION

Average levels of DAQS might be related to psychological distress especially among women. However, more studies are recommended to valid the findings.

Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine

BACKGROUND AND AIMS

Metabolic syndrome (MetS) is a widely used index for finding people at risk for chronic diseases, including cardiovascular disease and diabetes. Early detection of MetS is especially important in prevention programs. Relying on previous studies that suggest machine learning methods as a valuable approach for diagnosing MetS, this study aimed to develop MetS prediction models based on support vector machine (SVM) algorithms, applying non-invasive and low-cost (NI&LC), and also dietary parameters.

METHODS AND RESULTS

This population-based research was conducted on a large dataset of 4596 participants within the framework of the Shahedieh cohort study. An Extremely Randomized Trees Classifier was used to select the most effective features among NI&LC and dietary data. The prediction models were developed based on SVM algorithms, and their performance was assessed by accuracy, sensitivity, specificity, positive prediction value, negative prediction value, f1-score, and receiver operating characteristic curve. MetS was diagnosed in 14% of men and 22% of women. Among NI&LC features, waist circumference, body mass index, waist-to-height ratio, waist-to-hip ratio, systolic blood pressure, and diastolic blood pressure were the most predictive variables. By using NI&LC features, models with 78.4% and 63.5% accuracy and 81.2% and 75.3% sensitivity were yielded for men and women, respectively. By incorporating NI&LC and dietary features, the accuracy of the model in women improved by 3.7%.

CONCLUSIONS

SVM algorithms had promising potential for early detection of MetS relying on NI&LC parameters. These models can be used in prevention programs, clinical practice, and personal applications.

Insulinemic potential of diet and psychological disorders: A cross-sectional, population-based study

BACKGROUND

Serum insulin levels and insulin sensitivity can impact mental disorders. This study investigates the association of the insulinemic potential of diet calculated using the empirical dietary indices for insulin resistance (EDIR) and hyperinsulinemia (EDIH) with psychological disorders, including depression, anxiety, and stress.

METHODS

This cross-sectional study was undertaken on 5405 individuals, aged 20-70, from the Yazd Health Study (YaHS). The food frequency questionnaire (FFQ) was used to collect dietary intakes. EDIR and EDIH were calculated from the FFQ data. Psychological disorders were assessed by an Iranian-validated version of the depression, anxiety, and stress scale questionnaire 21 (DASS 21). Multivariable logistic regression analysis was performed and odds ratio (OR) and 95 % confidence interval (CI) were reported.

RESULTS

The mean ± SD of EDIR and EDIH were 0.32 ± 0.17 and 0.11 ± 0.08 in the total population, respectively. In the final adjusted model, participants in the highest versus the lowest quartile of EDIR had statistically higher odds of depression (OR: 1.28; 95 % CI: 1.01-1.62, P-trend = 0.032). However, no statistically significant association was observed between the EDIH score and depression. Also, EDIR and EDIH scores were not significantly associated with the odds of anxiety and stress.

LIMITATIONS

The cross-sectional design of the study prevented the inference of causality.

CONCLUSIONS

Higher adherence to EDIR was positively associated with depression, but there was no significant association between EDIH and depression. EDIR and EDIH were also not significantly related to anxiety or stress.

The cluster of differentiation 36 (CD36) rs1761667 polymorphism interacts with dietary patterns to affect cardiometabolic risk factors and metabolic syndrome risk in apparently healthy individuals

Several studies have examined the association between CD36 rs1761667 polymorphism with cardiometabolic risk factors and metabolic syndrome (MetS). This study aimed to investigate the interactions between rs1761667 polymorphism and dietary patterns on the cardiometabolic risk factors and the risk of MetS in apparently healthy individuals aged 20-70 years. Food consumption data were acquired using a validated semi-quantitative FFQ. Dietary patterns were identified by factor analysis. CD36 rs1761667 was genotyped by PCR-restriction fragment length polymorphism. The gene-diet interaction was detected by the general linear model or logistic regression. Significant or marginally significant interactions were observed between healthy dietary pattern (HDP) and CD36 rs1761667 on weight (P = 0·006), BMI (P = 0·009), waist circumference (P = 0·005), hip circumference (P = 0·06), body muscle percentage (P = 0·02), body fat percentage (P = 0·09), TAG-glucose index (P = 0·057), atherogenic index of plasma (P = 0·07), the risk of MetS (P = 0·02), risk of abdominal obesity (P = 0·02) and elevated blood pressure (P = 0·07). Besides, a gene-diet interaction was detected between the traditional dietary pattern and rs1761667 variants on odds of hypertriglyceridaemia (P = 0·02). The adherence to HDP was associated with a lower weight, BMI and higher odds of HDL-cholesterol only in A-allele carriers. In conclusion, adherence to HDP (a diet with high fibre, fish and dairy products) can be more effective on some cardiometabolic risk factors and risk of MetS components in the A-allele carrier than the GG genotype of rs1761667 polymorphism. However, future studies are required to shed light on this issue.

Dietary phytochemical index and psychological disorders in a large sample of Iranian adults: a population-based study

BACKGROUND

Intake of plant foods and phytochemicals can decrease the odds of mental health.

AIM

The aim of study is to investigate the association between Dietary Phytochemical Index (DPI) with symptoms of depression, anxiety and stress in a large sample of Iranian adults.

METHODS

In this cross-sectional study, a total of 7385 adults aged 20-50 years old were provided from the recruitment phase of Yazd Health Study, a population-based cohort research on Iranian adults. Food intakes were assessed via a validated and reliable food frequency questionnaire. Symptoms of depression, anxiety and stress were assessed using a validated Depression, Anxiety and Stress Scales questionnaire with 21-items. DPI was calculated by the percent of daily energy intake taken from phytochemical-rich foods.

RESULTS

After adjustment for potential confounders, normal weight subjects in the highest tertile of DPI had lower odds of depression (OR 0.65; 95% CI 0.44-0.97) and anxiety symptoms (OR 0.65; 95% CI 0.45-0.93) compared with those in the lowest tertile. However, the apparent association was not found between depression, anxiety and stress in overweight and obese subjects.

CONCLUSION

We found a significant association between DPI and mental health in normal weight adults. Prospective studies are required to approve these conclusions.

Empirical dietary inflammatory index and lifestyle inflammation score relationship with obesity: A population-based cross-sectional study

The present study aimed to investigate the association between the empirical dietary inflammatory index (EDII) and lifestyle inflammatory score (LIS) with general and abdominal obesity in Iranian adults using data from the Yazd Health study (YaHS). This cross-sectional study was conducted using the information of participants of the YaHS study. The dietary assessment was conducted using a validated food frequency questionnaire (FFQ) and anthropometric measurements assessed by standard protocols. The inflammatory potential of diet and lifestyle were calculated using EDII and LIS scores. We also created a combinational index of EDII and LIS as an EDII-LIS score. General and abdominal obesity were defined based on body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) cut points, respectively. The odds ratio (OR) and 95% confidence interval (CI) of general and abdominal obesity across tertiles of EDII and LIS were estimated using logistic regression analyses, adjusted for potential confounders. A significant association was found between a higher EDII score and general obesity (OR: 1.21, 95% CI: 1.04-1.41, p trend: .016), however, there was no significant association between EDII and both definitions of abdominal obesity. Participants in the highest versus lowest tertile of LIS had higher odds of increased abdominal obesity (ORWC: 37.0, 95% CI: 28.8-47.5, p trend <.001, ORWHR: 3.30, 95% CI: 2.65-4.11, p trend <.001). In addition, there was also a direct relationship between the higher score of EDII-LIS and the increased likelihood of abdominal obesity (ORWC: 15.0, 95% CI: 12.3-18.3, p trend <.001, ORWHR: 2.68, 95% CI: 2.18-3.29, p trend <.001). Greater adherence to the EDII score was associated with a higher odds of general obesity, but not abdominal obesity. Also, individuals with a higher score of LIS and EDII-LIS are more prone to abdominal obesity.

Magnetic solid-phase extraction of polycyclic aromatic hydrocarbons from water samples using magnetic carbon nanofiber/MIL-101(Cr) nanocomposites

In this study, magnetic carbon nanofibers (Fe3O4@CNF) were modified with MIL-101(Cr) (Fe3O4@CNF@MIL-101) and used as sorbents for magnetic solid-phase extraction (MSPE) to extract polycyclic aromatic hydrocarbons (PAHs) from real water samples. Gas chromatography coupled with a flame ionization detector (GC-FID) was used for the determination of the PAHs. The effect of experimental variables on the extraction efficiency of PAHs was investigated and optimized. These variables include the quantity of sorbent, the kind and volume of the elution solvent, the duration of extraction and desorption, and the salt concentration. The linear range was found to be 0.01 to 200 ng mL-1 with correlation coefficients ranging from 0.9906 to 0.9931 after the effective extraction parameters were optimized. Its detection limits (LOD) were also calculated to be between 0.003 and 0.005 ng mL-1 (S/N = 3). The method's repeatability was tested at three different concentration levels (0.1, 1, and 10 ng mL-1), and relative standard deviations (RSDs%) were obtained in the range of 2.3 to 5.0%. Finally, using the MSPE-GC-FID method, PAHs were extracted from tap water, wastewater, seawater, and spring water samples. The relative recoveries were in the range of 95.7 to 99.8%.

Efficient oxidation of sulfides to sulfoxides catalyzed by heterogeneous Zr-containing polyoxometalate grafted on graphene oxide

In this study, a tri-component composite named Zr/SiW12/GO was meticulously prepared through an ultrasonic-assisted method. This composite incorporates zirconium nanoparticles (Lewis acid), a negatively charged Keggin type polyoxometalate, and graphene oxide, and serves as a remarkable heterogeneous catalyst. The Keggin component plays multiple roles as reducing, encapsulating, and bridging agents, resulting in a cooperative effect among the three components that significantly enhances the catalytic activity. The catalytic performance of Zr/SiW12/GO was thoroughly investigated in the oxidation of sulfides to sulfoxides under mild conditions, employing H2O2 as the oxidant. Remarkably, this composite exhibited exceptional stability and could be effortlessly recovered and reused up to four times without any noticeable loss in its catalytic activity.

Electrospun mesh pattern of polyvinyl alcohol/zirconium-based metal-organic framework nanocomposite as a sorbent for extraction of phthalate esters

Herein, an electrospun composite polyvinyl alcohol/zirconium-based metal-organic frameworks (PVA@UiO-66) nanofiber coating was prepared on the surface of stainless steel mesh (SSM) and then utilized as novel sorbent for the extraction of phthalate esters (PEs) in milk and water samples. Gas chromatography equipped with a flame ionization detector (GC-FID) was used for the quantitative determination of extracted analytes. The SSM coated with PVA@UiO-66 was used in a polypropylene syringe to fabricate the solid-phase extraction (SPE) device. The PVA@UiO-66 nanofiber coating was confirmed using X-ray powder diffraction (XRD), Fourier transform infrared spectroscopy analysis (FT-IR), and field emission scanning electron microscopy (FESEM). The effective parameters of the extraction efficiency including volume and type of desorption solvent, sample volume, ionic strength, pH, extraction flow rate, and desorption flow rate were optimized. At the optimal extraction conditions, the calibration plots for phthalate esters were linear within the range of 0.05-100 ng mL-1 and, low detection limits (0.015-0.06 ng mL-1). Finally, this semi-automated SPE was used for the extraction and detection of phthalate esters (PEs) in milk and various environmental real water samples. The results showed good precision with acceptable and satisfactory extraction recovery values ranging from 89.5 to 99.2% and relative standard deviations (RSDs%) ranging from 4.5 to 6.9%.

The relationship between dietary lipophilic index and load with depression, anxiety, and stress symptoms

BACKGROUND

Dietary fatty acids can affect brain health by modifying neuronal membrane fluidity. Dietary lipophilic index (LI) and load (LL) may be related to cell membrane fluidity. This study aimed to determine the relationship between dietary LI and LL with symptoms of depression, anxiety and stress.

METHODS

In this cross-sectional study, taken from the YaHS (Yazd Health Study) population-based cohort, the data of 2,982 individuals was extracted. Several questionnaires- a 178-item Food Frequency Questionnaire (FFQ), Depression, Anxiety and Stress Scale 21 (DASS 21), and International Physical Activity Questionnaire (IPAQ)- were used to obtain information on dietary intake, mental status, and physical activity, respectively. LI and LL were calculated using dietary intake and the melting point of each fatty acid.

RESULTS

The analysis was performed on 2982 individuals. The odds ratio of depression in the second tertile of dietary LI compared to the first tertile was 0.815 (95% CI 0.66-1.00, P = 0.051, Ptrend = 0.017) and after adjusting confounders was 0.793 (95% CI 0.63-0.99, P = 0.043, Ptrend = 0.011). Also, LL was related inversely with anxiety (0.771, 95% CI 0.63-0.93, P = 0.003) that after multiple regression, OR of anxiety was 0.762 (95% CI 0.53-1.07, P = 0.045). The odds of stress in the third tertile of LL was 1.064 but not statistically significant (95% CI 0.88-1.28, P = 0.729).

CONCLUSION

This study showed an inverse association between dietary LI and depression symptoms. Anxiety and stress did not show a significant relationship with LI or LL.

Impact of flexibility on the aggregation of polymeric macromolecules

Dependence of the dimerization probability and the aggregation behavior of polymeric macromolecules on their flexibility is studied using Langevin dynamics simulations. It is found that the dimerization probability is a non-monotonic function of the polymers persistence length. For a given value of inter-polymer attraction strength, semiflexible polymers have lower dimerization probability relative to flexible and rigid polymers of the same length. The threshold temperature of the formation of aggregates in a many-polymer system and its dependence on the polymers persistence length is also investigated. The simulation results of two- and many-polymer systems are in good agreement and show how the amount of flexibility affects the dimerization and the aggregation behaviors of polymeric macromolecules.

Dietary insulinemic potential, sleep quality and quantity in Iranian adults: Yazd health study and TAMYZ study

BACKGROUND & AIMS

To examine the link between dietary insulin index (DII) and load (DIL) and sleep duration/quality for the first time.

METHODS

This cross-sectional study conducted on data from the recruitment phase of Yazd Health Study (YaHS)-Yazd Nutrition Study (TAMYZ), prospective study in Yazd, central Iran. Data on demographic characteristics, dietary intakes, sleep quantity and quality, and potential confounders were gathered by interview. Sleep quality and its components (insufficient sleep, delay in falling asleep, medication use for sleep, and sleep disorder) were assessed by a modified version of Pittsburgh questionnaire. The link between DII/DIL and low sleep quality and short/long sleep duration was studied using multivariable logistic regression.

RESULTS

In total, 5925 individuals aged 20 to 70 were eligible to take part in the current study. After adjustment for all potential confounders, participants in the highest DIL score tertile had a lower chance for sleep disorder (OR = 0.38; 95%CI: 0.17-0.85, P_trend = 0.02) and delay in falling asleep (OR = 0.66; 95%CI: 0.42-1.03, P_trend = 0.05) compared to those in the lowest tertile. The DII was also linked to a lower chance for sleep disorder (OR = 0.61; 95% CI: 0.39-0.93, P trend = 0.02). The DIL was inversely associated with sleep medication use and delay in falling sleep in men and women, respectively (P < 0.05). Moreover, DII was linked to a decreased odds of sleep disorder in women (P < 0.05). The associations were observed in those with overweight or obesity but not in those without overweight (P < 0.05).

CONCLUSION

Higher DIL and DII might be associated with sleep quality and its components. Prospective investigations are needed in the future to confirm these findings.

Insulinaemic potential of diet and lifestyle and risk of type 2 diabetes in the Iranian adults: result from Yazd health study

BACKGROUND

Previous studies have shown that insulin directly affects the risk of type 2 diabetes mellitus (T2DM) but the relationship between insulinaemic potential of diet and lifestyle and the T2DM risk is still unknown. Accordingly, we aimed to investigate the relationship between the insulinaemic potential of diet and lifestyle based on indices including empirical dietary index for hyperinsulinaemia (EDIH), empirical lifestyle index for hyperinsulinaemia (ELIH), empirical dietary index for insulin resistance (EDIR) and empirical lifestyle index for insulin resistance (ELIR) and the T2DM risk in the Iranian adults.

METHODS

This study was performed on data of enrollment phase of the Yazd Health Study (YaHS) and TAghzieh Mardom-e-Yazd (Yazd Nutrition Study) (TaMYZ) on 5714 adults aged 20-70 years (mean: 36.29 years). A validated food frequency questionnaire and clinical tests were used to assess food intake and T2DM ascertainment, respectively. We used the Cox regression analysis for determining the relationship between the indices and T2DM risk.

RESULTS

After adjusting for confounding variables, our findings showed that diet with higher ELIH score is 2.28 times more likely for T2DM risk (RR 2.28 [95% CI 1.69-2.56]), but there was no significant relationship between the EDIH, ELIR and EDIR scores and T2DM risk in adults, in the entire study population.

CONCLUSIONS

Our findings suggest that diets with higher ELIH score increases the T2DM risk, but there was no significant relationship between the EDIH, ELIR and EDIR scores and T2DM risk. Further epidemiological studies are needed to confirm our findings.

Impact of corn processing and weaning age on calf performance, blood metabolites, rumen fermentation, and behavior

This study examined the impact of two corn processing methods (steam-flaked (SFC) vs. ground) combined with two weaning ages (50 or 75 days) on calf performance, blood metabolites, rumen fermentation, nutrient digestion, and behavior. The study involved 48 three-day-old Holstein calves, with an average body weight of 41.4 ± 2.2 kg. The experimental design was a 2 × 2 factorial arrangement, resulting in four treatment groups: SFC50 (SFC and weaning at 50 days), SFC75 (SFC and weaning at 75 days), GC50 (ground corn and weaning at 50 days), and GC75 (ground corn and weaning at 75 days). Calves were given whole milk at 4 L/ day from day 3-15 and 7 L/ day from day 16 to either 43 or 68, depending on weaning age. Weaning occurred between days 44 and 50 for early-weaned calves and between days 69 and 75 for late-weaned calves. The study lasted until calves were 93 days old. The starter ration consisted of soybean meal, corn grain, 5% chopped wheat straw and premix. Results indicated that the SFC-based starter feed improved calf performance and nutrient digestion, as evidenced by increased weight gain, dry matter, crude protein, and neutral detergent fiber digestibility. Calves fed the SFC-based starter diet had lower blood albumin and urea N concentrations, while blood total protein and globulin concentrations were higher, especially in early-weaned calves. No significant changes in rumen pH and ammonia-N concentration were observed. In addition, the SFC starter feed resulted in higher volatile fatty acids concentration and longer feeding time in weaned calves compared to ground corn. Overall, these results suggest that an SFC-based starter feed may be beneficial for both early and late weaned calves.

Sex differences in cardiac rehabilitation barriers among non-enrollees in the context of lower gender equality: a cross-sectional study

BACKGROUND

Despite the benefits of cardiac rehabilitation (CR), it remains under-utilized, particularly by women. This study compared CR barriers between non-enrolling men and women in Iran, which has among the lowest gender equality globally.

METHODS

In this cross-sectional study, CR barriers were assessed via phone interview in phase II non-attenders from March 2017 to February 2018 with the Persian version of the Cardiac Rehabilitation Barriers Scale (CRBS-P). T-tests were used to compare scores, with each of 18 barriers scored out of 5, between men and women.

RESULTS

357 (33.9%) of the sample of 1053 were women, and they were older, less educated and less often employed than men. Total mean CRBS scores were significantly greater in women (2.37 ± 0.37) than men (2.29 ± 0.35; effect size[ES] = 0.08, confidence interval[CI]: 0.03-0.13; p < 0.001). The top CR barriers among women were cost (3.35; ES = 0.40, CI:0.23-0.56; P < 0.001), transportation problems (3.24; ES = 0.41, CI:0.25-0.58; P < 0.001), distance (3.21; ES = 0.31, CI:0.15-0.48; P < 0.001), comorbidities (2.97; ES = 0.49, CI:0.34-0.64; P < 0.001), low energy (2.41; ES = 0.29, CI:0.18-0.41; P < 0.001), finding exercise as tiring or painful (2.22; ES = 0.11, CI:0.02-0.21; P = 0.018), and older age (2.27; ES = 0.18, CI:0.07-0.28; P = 0.001). Men rated "already exercise at home or in community" (2.69; ES = 0.23, CI:0.1-0.36; P = 0.001), time constraints (2.18; ES = 0.15, CI:0.07-0.23; P < 0.001) and work responsibilities (2.24; ES = 0.16, CI:0.07-0.25; P = 0.001) as greater CR barriers than women.

CONCLUSION

Women had greater barriers to CR participation than men. CR programs should be modified to address women's needs. Home-based CR tailored to women's exercise needs and preferences should be considered.

Evaluating Neck Circumference as an Independent Predictor of Metabolic Syndrome and Its Components Among Adults: A Population-Based Study

Background Metabolic syndrome (MetS), a public health problem worldwide, represents a high-risk condition for cardiovascular disease and diabetes. The reserve of subcutaneous fat in the upper torso is an important factor in the development of MetS and its risk factors. As neck circumference (NC) is a simple and reliable index that indicates upper-body subcutaneous fat accumulation, this study was conducted to investigate the association between NC with MetS and its components in a large population-based sample of Iranian adults. Methods The present cross-sectional study was conducted among 2094 individuals aged 20-70 years from Yazd Health Study (YaHS). MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III (ATP III) criteria. NC more than 40.25 cm for men and more than 35.75 cm for women was considered a high-risk NC. Logistic regression analysis was applied to obtain the associations of NC with MetS and its component. Results After adjusting for age, BMI, energy intake, physical activity, and smoking in those whose NC was higher than normal, the risk of the MetS (odds ratio {OR}: 2.32; 95%CI: 1.55-3.46, P<0.001 in men and OR: 2.56; 95%CI: 1.76-3.74, P<0.001 in women), abdominal obesity (OR: 4.39; 95%CI: 2.67-7.23, P<0.001 in men and OR: 1.92; 95%CI: 1.27-2.90, P=0.002 in women), high blood pressure (OR: 1.54; 95%CI: 1.07-2.21, P=0.02 in men and OR: 1.51; 95%CI: 1.06-2.14, P=0.02 in women), low high-density lipoprotein cholesterol (HDL-C) (OR: 1.47; 95%CI: 1.01-2.15, P=0.04 in men and OR: 1.69; 95%CI: 1.23-2.32, P=0.001 in women), and hypertriglyceridemia (OR: 1.41; 95%CI: 1.03-1.99, P=0.04 in men and OR: 1.68; 95%CI: 1.17-2.41, P=0.005 in women) were higher. There was no significant difference in the risk of hyperglycemia between the two NC groups in both sexes. The Pearson's correlation coefficients of NC with waist circumference, hip circumference, body mass index, and waist-to-height ratio were 0.52, 0.43, 0.41, and 0.31, respectively (P<0.001). Moreover, NC had a considerable correlation with serum triglyceride, high-density lipoprotein, systolic blood pressure, and diastolic blood pressure (0.27, -0.30, 0.29, 0.25, P<0.001), respectively. Conclusion Increased NC was significantly associated with higher odds of MetS and its components. Since NC measurement is simple, inexpensive, reliable, and less invasive, it can be used as a complementary tool in the screening and diagnosis of MetS and its risk factors in clinical and community programs especially in developing countries.

Study Protocol for the Interactions between Dietary Patterns and ARL15 and ADIPOQ Genes Polymorphisms on Cardiometabolic Risk Factors

Background

Cardiovascular diseases (CVDs) are recognized as one of the leading causes of death worldwide. Studies have shown the impact of genetic predisposition and dietary factors on developing these diseases. Dietary patterns and genetic factors such as polymorphisms related to the level of adiponectin may also interact with each other and produce variances in the effects of these factors on different individuals. The purpose of this study is to investigate the interactions between food intake patterns and polymorphisms on ADIPOQ and ARL15 genes in relation to cardiometabolic risk factors.

Methods

This cross-sectional study is conducted on 380 adults (20 to 70 years old) living in Yazd, Iran. Individuals were selected from the participants in Yazd Health Study (YaHS) and its sub-study called Taghziyeh Mardom-e Yazd (TAMYZ) after reviewing the inclusion and exclusion criteria. YaHS is a population-based cohort study which has been conducted on 9962 adults living in Yazd since 2014. In the present study, rotated principle component analysis (PCA) with Varimax rotation is used to identify the major dietary patterns. The polymerase chain reaction-restricted fragment length polymorphism (PCR-RFLP) method is used in order to identify rs1501299 and rs6450176 variants (on ADIPOQ and ARL15 genes, respectively). General linear models (GLM) as well as regression models are used to investigate the interactions between the studied genotypes and the extracted dietary patterns.

Conclusions

The results of this study can help to personalize dietary recommendations for the prevention of CVDs according to the genetic predisposition of individuals.

Investigation of chalcopyrite removal from low-grade molybdenite using response surface methodology and its effect on molybdenum trioxide morphology by roasting

In this research, purification of molybdenite concentrate (MoS₂) using a nitric acid leaching process was employed for the improvement of molybdenum trioxide morphology during oxidative roasting in an air atmosphere. These experiments were performed using 19 trials designed with response surface methodology and three effective parameters being temperature, time, and acid molarity. It was found that the leaching process reduced the chalcopyrite content in the concentrate by more than 95%. The influence of chalcopyrite elimination and roasting temperature on the morphology and fiber growth of the MoO₃ was also investigated by SEM images. Copper plays an important role in controlling the morphology of MoO₃ and its decrease led to enhancing the length of quasi-rectangular microfibers from less than 30 μm for impure MoO₃ up to several centimeters for purified MoO₃.

Nanofiber-based sorbents: Current status and applications in extraction methods

Advanced sorbents gradually become a research hotspot on account of the increasing attention paid to environmental problems. Due to the prominent physicochemical features of nanofibers (NFs), such as high porosity, large surface area, favorable interconnectivity, high adsorption capacity, wettability, and the possibility of surface modification using functional groups, these nanostructures are regarded as excellent candidates for extraction applications. Therefore, the research in the field of NFs and their nanocomposites has been increasing in recent years. In the present review, we summarize the most recent studies on NFs-based sorbents focusing on strategies for preparation, characterization, and their unique capabilities as porous sorbents in various sorbent-based extraction methods. Moreover, we further described the performance and selectivity of sorbents to achieve improved extraction efficiency. Finally, some perspectives on the challenges and outlook are provided to aid future investigations related to this topic.

A comparison of principal component analysis, partial least-squares, and reduced-rank regressions in the identification of dietary patterns associated with hypertension: YaHS-TAMYZ and Shahedieh cohort studies

Limited data exist on the advantage of data reduction hybrid methodologies for evaluating the relationship between dietary patterns (DPs) and chronic diseases and they have led to inconsistent results. This study aimed to investigate the association between DPs extracted using principal component analysis (PCA), partial least-squares (PLS), and reduced-rank regressions (RRRs) in identifying DPs associated with hypertension (HTN) risk. The current study was conducted in the context of two cohort studies accomplished in Iran. DPs were generated using PCA, PLS, and RRR methods. Log-binomial logistic regression test was used to assess the association between DPs and the risk of HTN. From a total of 12,403 included participants aged 20-70 years, 507 incident cases of confirmed HTN were identified. The PCA-DP2 was associated with HTN in the fully adjusted model (T3 vs. T1: RR: 0.737, 95% CI: 0.57-0.93, P _trend = 0.013). The PLS-DP2 and HTN risk were inversely associated in the multivariate model (T3 vs. T1: RR: 0.704, 95% CI: 0.54-0.91, P _trend = 0.013). The RRR-DP2 was associated with an increased risk of HTN (T3 vs. T1: RR: 1.412, 95% CI: 1.11-1.80, P _trend = 0.007). Our findings suggest that the RRR method reveals stronger results in association with HTN risk. However, further investigations are required to confirm the association between DPs derived by PLS and RRR methods by incorporating biomarkers related to HTN as the response variables.

The association between dietary patterns derived by three statistical methods and type 2 diabetes risk: YaHS-TAMYZ and Shahedieh cohort studies

Findings were inconsistent regarding the superiority of using recently introduced hybrid methods to derive DPs compared to widely used statistical methods like principal component analysis (PCA) in assessing dietary patterns and their association with type 2 diabetes mellitus (T2DM). We aimed to investigate the association between DPs extracted using principal component analysis (PCA), partial least-squares (PLS), and reduced-rank regressions (RRR) in identifying DPs associated with T2DM risk. The study was conducted in the context of two cohort studies accomplished in central Iran. Dietary intake data were collected by food frequency questionnaires (FFQs). DPs were derived by using PCA, PLS, and RRR methods considering. The association between DPs with the risk of T2DM was assessed using log-binomial logistic regression test. A total of 8667 participants aged 20-70 years were included in this study. In the multivariate-adjusted models, RRR-DP3 characterized by high intake of fruits, tomatoes, vegetable oils, and refined grains and low intake of processed meats, organ meats, margarine, and hydrogenated fats was significantly associated with a reduced T2DM risk (Q5 vs Q1: RR 0.540, 95% CI 0.33-0.87, P-trend = 0.020). No significant highest-lowest or trend association was observed between DPs derived using PCA or PLS and T2DM. The findings indicate that RRR method was more promising in identifying DPs that are related to T2DM risk compared to PCA and PLS methods.

Opioid Drug Detection in Hair Samples Using Polyoxometalate-Based Frameworks

A series of two-dimensional (2D) polyoxometalate-based frameworks, [Ln₃(PDA)₃(H₂O)₆(PMo₁₂O₄₀)]·xH₂O (Ln = La (1); Ce (2); Pr (3); Nd (4); PDA = 1,10-phenanthroline-2,9-dicarboxylate), have been synthesized and structurally characterized by various analytical techniques. Single-crystal X-ray diffraction reveals that 1-4 have a unique 2D layer structure in which Keggin anions have coordinated upward and downward the plane, and this feature makes them suitable candidates for surface binding of common drugs via supramolecular and electrostatic interactions. Also, the ability of 1-4 (as the first polyoxomolybdate-containing frameworks) as sorbents for the extraction and quantitative determination of opioid drugs (morphine, methadone, and pethidine) was investigated by using dispersive micro-solid-phase extraction (D-μSPE) and high-performance liquid chromatography (HPLC). The method showed wide linear ranges in the range of 0.3 to 300 ng mg^-1 and low limits of detection (LODs) ranged from 0.1 to 0.2 ng mg^-1 of hair.

Association between different patterns of shift work and liver function tests: A cross-sectional analysis of Shahedieh PERSIAN cohort data, Iran, 2020

BACKGROUND

Recent studies suggest that shift work may cause liver dysfunction.

OBJECTIVE

This study aimed to examine the relationship between different patterns of shift work and elevated level of liver enzymes.

METHODS

In this cross-sectional study, 1910 workers aged 35 to 70 years were selected with simple random sampling from 9978 participants of the recruitment phase of Shahedieh PERSIAN cohort study. Level of serum liver enzymes (ALT, AST, ALP, and GGT) and ALT/AST ratio was compared between shift workers and non-shift workers, and among employees working in different patterns of shift work. Data were analyzed by SPSS (version 21.0) using Student's T test, Mann-Whitney U test, chi-square test, Kruskal Wallis test, and logistic regression.

RESULTS

Among 1347 males (71%) and 563 females (29%) with a mean age of 40.4±7.4 years, 469 were shift workers. Fixed evening type shift was the most common (30.3%) and fixed night-shift was the least common (0.9%) type of shift work. The mean blood levels of liver enzymes was not significantly different between shift workers and non-shift workers. In comparison between different patterns of shift work, the mean serum level of GGT was significantly higher in individuals with slow rotating shifts than those with fixed evening shifts, rapid rotating, split and fixed 24 hour shifts (p≤0.001). After adjusting for confounding factors only elevated AST was significantly higher in shift workers.

CONCLUSION

There was only a significant association between shift work and elevated AST, and no relationship was found with ALT, ALP, GGT, and ALT/AST ratio.

Spirometric Parameters in Waterpipe Smokers, Cigarette Smokers, and Non-smokers of Shahedieh Cohort Study

BACKGROUND

Different kinds of smoking tobacco may affect pulmonary function and reduce some spirometric parameters. This study aimed to assess the relationship between smoking cigarettes and waterpipe and spirometric parameters.

METHODS

This was a cross-sectional study on 1543 middle-aged individuals, as a sub-study of the Shahedieh cohort study in Yazd. The participants were randomly selected from the Shahedieh cohort population and were divided into 6 groups according to their smoking habits: non-smokers (n=455), cigarette smokers (n=139), waterpipe smokers (n=287), ex-cigarette smokers (n=131), concurrent waterpipe and cigarette smokers (n=121), and cigarette or waterpipe passive smokers (n=410). Spirometry was performed on all participants and spirometric parameters were compared between different groups. The data were analyzed by SPSS (version 20) using Kolmogorov-Smirnov, Kruskal-Wallis, and Mann-Whitney U tests.

FINDINGS

FEV1 %, FEV1/FVC, and PEF25-75% were significantly lower in cigarette smokers, compared to waterpipe smokers and non-smokers. The measures were not significantly lower in waterpipe smokers in comparison to non-smokers. The frequency of obstructive pattern and small airway diseases was significantly higher in cigarette smokers compared to waterpipe smokers and non-smokers.

CONCLUSION

The results of this study showed that in the middle-aged population, spirometric parameters related to airway obstruction (FEV1, FEV1/FVC, and FEF25-75%) were significantly lower in cigarette smokers than in non-smokers and waterpipe smokers, but these parameters were not significantly different between waterpipe smokers and non-smokers.

Biological Activity of Two Anticancer Pt Complexes with a Cyclohexylglycine Ligand against a Colon Cancer Cell Line: Theoretical and Experimental Study

Because of their extraordinary ability to disrupt the natural structure of nucleic acids, metal complexes could be used in cancer therapy. In this study, cyclohexylglycine (HL) as a ligand and two new Pt complexes, [Pt(NH₃)₂(L)]NO₃ (1) and [Pt(bipy)(L)]NO₃ (2), were synthesized and characterized by elemental analysis, LC-MS, UV-vis spectrometry, FT-IR, ¹H NMR spectroscopy, ¹³C NMR spectroscopy, ¹⁹⁵Pt NMR spectroscopy, HPLC analysis, and single-crystal X-ray diffraction. Complex 2 crystallized in the orthorhombic Pbca space group, and density functional theory (DFT) was used to describe its structural parameters were described in detail. These complexes can be classified as oral medications and drug-like molecules based on a comparison of their absorption, distribution, metabolism, and excretion assessment. Quantum chemical descriptors (QCDs) were determined using DFT calculations to predict the tendency of DNA to approach these complexes. During the determination of the function of the metallodrug in DNA binding, the fluorescence data indicated that static quenching took place for all ligands and complexes with higher DNA binding affinity. CD and isothermal absorption studies indicate the presence of electrostatic and groove binding for the amine derivative and that DNA binds with the bipy moiety via groove binding. Furthermore, the interaction modes were determined using molecular docking to investigate the binding of these compounds with the target DNA molecule. According to docking investigations, binding energies of -5.7, -11.56, and -10.00 kcal/mol for HL and complexes 1 and 2, respectively, indicate partially electrostatic and groove binding. The anticancer activities of the Pt(II) complexes were tested against the HCT116 human colon cancer cell line, with IC₅₀ values of 35.51 and 51.33 μM for 1 and 2, respectively, after 72 h. These values show that the inhibitory effect of complex 1 was better than those of 2 and carboplatin (IC₅₀ = 51.94 μM).

The association between dietary habits and metabolic syndrome: findings from the Shahedieh-cohort study

Objective

Metabolic syndrome (MetS) is a complex disorder with an increasing prevalence globally. Limited data are available about the association between dietary habits and the prevalence of MetS. The present cross-sectional study aimed to investigate the association between dietary habits and MetS in a large population sample from Iranians.

Methods

The study was conducted on 9261 adults aged 35–70 years who attended the baseline phase of Shahedieh cohort study, Yazd, Iran. Dietary habits including meal frequency, fried food consumption, adding salt to prepared meal, barbecued food consumption, used oil type and reuse oil number were assessed by a standard questionnaire. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III criteria. Logistic regression was used in different adjusted models to investigate the relationship between dietary habits and MetS: (Model I: adjusted for age, sex and energy. Model II: Model I + adjusted for wealth score index and physical activity. Model III: Model II + adjusted for cardiovascular diseases and liver diseases).

Results

The subjects who ate barbecued-food more than 3 times/ month had 1.18 times greater odds for MetS than individual who ate this less than once/ month (OR: 1.18, 95% CI: 1.01–1.38). After further adjustment for other confounding variables, the association remained significant. No significant association was found between other dietary habits and odds of MetS.

Conclusion

Higher intakes of barbecued-food consumption were related to the prevalence of MetS. Larger longitudinal studies in other population groups are needed to confirm these associations.

The association between dietary insulin index and load with mental health

Background

Depression, anxiety, and stress are common mental problems. The aim of this cross-sectional study was to investigate the association between two indexes that measure postprandial insulin response to different food, dietary insulin index (DII) and insulin load (DIL), with psychological disorders.

Method

Participants (n = 10,000) aged 20–69 were randomly selected from 200 clusters in Yazd from the recruitment phase of the Yazd Health Study. The dietary intake of participants was collected by a reliable and validated food frequency questionnaire (FFQ) consisting of 178 food items. DII and DIL were calculated from the FFQ data using previously published reference values. To assess psychological disorders an Iranian validated short version of a self-reported questionnaire (Depression Anxiety Stress Scales 21 [DASS21]) was used.

Results

No significant association was observed between DIL and DII with odds of depression or anxiety using crude or adjusted models. However, individuals in the highest quartiles of DIL had the lowest odds of stress (OR: 0.69; 95% CI 0.48–1.01, P-trend = 0.047). This association remained significant after adjustment for potential confounders in model II including marital status, smoking, education, job status, salt intake, and multi-vitamin supplement use (OR: 0.38; 95% CI 0.16–0.91, P-trend = 0.039) and the third and final model which is further adjusted for BMI (OR: 0.39; 95% CI 0.16–0.91, P-trend = 0.041).

Conclusion

Overall, consumption of foods with higher DII as well as DIL were associated with lower stress scores; however, no significant relationship was observed between DII or DIL with respective depression or anxiety scores.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40359-022-00925-2.

Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran

BACKGROUND

Body Fat percentage (BFP) and body mass index (BMI) are used to measure obesity-related metabolic syndrome risk. The present study aimed to determine the values of percent body Fat and body mass index for predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.

METHODS

A total of 1022 (499 males and 523 females) diabetic patients participated in this study. According to Asian BMI criteria, Overweight was diagnosed if a participant had a BMI ≥25 kg/m² (both male and female) or BFP ≥25% for male and ≥ 32% for female. Based on calculated BMI and BFP and after adjusting for age, height, weight and smoking habits, the participants were classified into group A (normal weight and Non-Fat), group B (overweight and Non-Fat), group C (normal weight and Fat), and group D (overweight and Fat).

RESULTS

According to the results, the BMI of 23.4% were normal and BMI of 76.6% were overweight, respectively. Moreover, the BFP of 25.7 and 74.3% of the studied population were considered as Non-Fat and Fat, respectively. A strong relationship was found with respect to sex stratification; R² = 0.79. For men, BMI can be a better predictor of hypertension and hypertriglyceridemia than BFP. For women, BMI was a better predictor of hyperglycemia than BFP. Moreover, BFP can be regarded as a better predictor of hyperglycemia in male group, while it was a good predictor of hypertension and hypertriglyceridemia and hypo HDL than BMI, in female group.

CONCLUSION

Significant differences were observed between BMI and BFP to predict metabolic syndrome risk factors in diabetic patients across different sexes in our study population. In conclusion, both BMI and BFP should be considered in screening steps.

The Association between Sleep Pattern with Lipid Profile and Obesity among Adults in Yazd: Cross-Sectional Analysis of Shahedieh Cohort Study

Background: Lifestyle changes, such as changes in sleep patterns and insufficient sleep have led to an increase in obesity and hyperlipidemia. The present study was conducted to investigate the association between abnormal lipid profile and obesity with sleep pattern among adult in Yazd adults in Shahedieh cohort study. Methods: This analytic cross-sectional study was carried out on the data of the enrollment phase of Shahedieh cohort study conducted in Yazd Greater Area during 2015-2017. In this study, all adults aged 35-70 years from Shahedieh, Zarch, and Ashekzar cities were investigated. The data used in this study included demographic and sleep variables, as well as triglyceride (TG), cholesterol (TC), high density lipoprotein cholesterol (HDL-c) and low density lipoprotein cholesterol (LDL-c). Results: The results showed that 4765 participants were male, and 4768 were female, and most of the them were overweight (42.4%) or obese (34.2%). The results showed that long-term sleep (> 8 hours at night) is correlated with high serum TC (P = 0.009) and TG (P = 0.009). Sleep latency is related with an increase in TC (r=0.03, P = 0.004), TG (r=0.04, P = 0.001), and LDL-c (r = 0.04, P = 0.001). Moreover, the duration of daytime sleep increases by increasing TG (r = 0.06, P = 0.001) and decreasing HDL-c (r = -0.07, P = 0.001). The results also showed that TG were significantly higher in people with periodic limb movement in sleep (P = 0.02). The number of people who used sleeping pills increased by increasing TG (P = 0.01) and body mass index (BMI) decreased by increasing sleep duration (P = 0.21). Conclusion: The results of this study showed that long-term sleep increases TC and TG. The findings showed a correlation between long sleep duration and decreased BMI.

The Association between Metabolic Syndrome and the Consumption of some Supplements

Background: Beneficial effects of vitamins and dietary supplements in the prevention and treatment of metabolic syndrome (MS) are controversial. This study aims to evaluate the association between dietary supplements intake and MS. Methods: This analytical cross-sectional analysis was conducted on 9539 people aged 35-70 years who participated in the recruitment phase of Shahedieh Cohort Study in Yazd-Iran (May 2015 to September 2017). The consumption of supplements, such as multivitamin-mineral, multivitamin, calcium-D, calcium, vitamin D, folic acid, omega 3, iron, and zinc were asked in the study. the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria used for defining MS. Results: 4785 (50.2%) men and 4754 (49.8%) women with mean age of 47.64 ± 9.60 years participated in this study. The prevalence of MS was 2901 (30.41%). The participants with MS were significantly different in consuming supplements, such as Calcium-D (P < 0.001), Calcium (P < 0.001), Calcium-D or Calcium products (P = 0.001), vitamin D; injection (P = 0.017) and vitamin D orally or injection (P = 0.005), Omega 3, fish oil (P = 0.001), and at least one supplement intake (P = 0.001). However, the relationship between MS and supplement consumption was not significant after adjusting for covariates in the multivariate regression model. Conclusion: Multiple factors may be responsible for the high prevalence of MS. It seems that a known supplement may not be the pathologic factor in the MS.

The relation between MIND diet with psychological disorders and psychological stress among Iranian adults

BACKGROUND

Given the role of dietary antioxidants in relieving depression, anxiety, and stress, as well as studies on the beneficial effects of the Mediterranean and Dash diets separately on these problems, in this study, we examine the relationship between the MIND index (Mediterranean- DASH diet Intervention for Neurodegenerative Delay) as a combined indicator of the Mediterranean and DASH diet with psychological disorders such as depression, anxiety, and psychological stress among a large sample of the Iranian adult population.

METHODS

This cross-sectional study was performed on 7165 participants of the enrollment phase of Yazd Health Study (YaHS) and Yazd Nutrition Study (TAMYZ) a valid 178-item semi-quantitative food frequency questionnaire (FFQ) was used to assess participants' food intake. The MIND diet score was calculated based on participants' dietary intakes obtained from FFQ. Also, the valid Iranian version of the Depression, Anxiety, and Stress Scale (DASS 21) was used to assess psychological disorders and stress. In addition, the association between the MIND diet and psychological disorders and stress was assessed through logistic regression.

RESULTS

The mean ± SD score was 3.33 ± 3.79 for depression, 2.99 ± 3.65 for anxiety, and 5.93 ± 4.70 for psychological stress. The mean score of MIND in this study was 7.56. After adjustment for after adjusting for age, gender, intake of energy, BMI, history of chronic disease, marital status, education level, smoking history, physical activity level, pregnancy or lactation, intakes of dietary EPA, DHA, and fiber, individuals in highest compared to the lowest quartile of MIND diet score had significantly lower odds of depression (OR = 0.62, 95% CI 0.40 - 0.96; P-trend = 0.02) and anxiety (OR = 0.61, 95% CI 0.41 - 0.91; P-trend = 0.01). However, no significant association was observed for psychological stress (OR = 0.57, 95% CI 0.28 - 1.14; P-trend = 0.83).

CONCLUSION

Therefore, it seems that following the MIND diet can prevent the possibility of these psychological problems. However, there is a need to design studies with more robust methodologies such as clinical trial studies.

Socioeconomic inequalities in prevalence, awareness, treatment and control of hypertension: evidence from the PERSIAN cohort study

Background

Elevated blood pressure is associated with cardiovascular disease, stroke and chronic kidney disease. In this study, we examined the socioeconomic inequality and its related factors in prevalence, Awareness, Treatment and Control (ATC) of hypertension (HTN) in Iran.

Method

The study used data from the recruitment phase of The Prospective Epidemiological Research Studies in IrAN (PERSIAN). A sample of 162,842 adults aged >  = 35 years was analyzed. HTN was defined according to the Joint National Committee)JNC-7(. socioeconomic inequality was measured using concentration index (Cn) and curve.

Results

The mean age of participants was 49.38(SD =  ± 9.14) years and 44.74% of the them were men. The prevalence of HTN in the total population was 22.3%(95% CI: 20.6%; 24.1%), and 18.8%(95% CI: 16.8%; 20.9%) and 25.2%(95% CI: 24.2%; 27.7%) in men and women, respectively. The percentage of awareness treatment and control among individuals with HTN were 77.5%(95% CI: 73.3%; 81.8%), 82.2%(95% CI: 70.2%; 81.6%) and 75.9%(95% CI: 70.2%; 81.6%), respectively. The Cn for prevalence of HTN was -0.084. Two factors, age (58.46%) and wealth (32.40%), contributed most to the socioeconomic inequality in the prevalence of HTN.

Conclusion

The prevalence of HTN was higher among low-SES individuals, who also showed higher levels of awareness. However, treatment and control of HTN were more concentrated among those who had higher levels of SES, indicating that people at a higher risk of adverse event related to HTN (the low SES individuals) are not benefiting from the advantage of treatment and control of HTN. Such a gap between diagnosis (prevalence) and control (treatment and control) of HTN needs to be addressed by public health policymakers.

Property evaluation of two anticancer candidate platinum complexes with N-isobutyl glycine ligand against human colon cancer

Small molecules have potential usage in cancer therapy due to their remarkable potency of disarranging the natural structure of nucleic acids. In this study, two complexes [Pt(NH₃)₂(IBgly)]NO₃ (1) and [Pt(bipy)(IBgly)]NO₃ (2) based on Pt(II), N-isobutylglycine (IBgly), 2,2'-bipyridine, and ammonia were prepared and characterized by spectroscopic methods. Pharmacokinetic ADME data, absorption, distribution, metabolism, excretion, and bioavailability radar showed two complexes can be introduced for Pt-based anti-cancer drugs. Mechanism of tumor inhibition and DNA interaction of these compounds was studied by UV-Vis, fluorescence, and CD spectroscopies. Also, thermodynamic parameters and the binding constants were calculated through absorption measurements. The fluorescence data showed that a static quenching mechanism occurred for both complexes with a binding constant and binding affinity towards DNA (K_b ≈ 3500 M^-1 and k_q ≈ 2.1 × 10¹¹ M^-1 s^-1). The thermodynamic parameters indicated electrostatic approaching and groove binding were more feasible than intercalation mode between Pt(II) complexes and DNA. CD spectra indicated the increasing intensity of the positive band and the negative band decreasing. Density functional theory calculations confirmed the experimental data and determined the quantum chemical descriptors including total energy, hardness, chemical potential, electrophilicity, electronegativity, etc. According to this, the binding tendency of these compounds with DNA could be predicted. Further, molecular docking studies were also performed. Docking studies revealed that the desolvation, hydrogen, and electrostatic binding were effective for the interaction between complexes and DNA with binding energy (- 10.44 and - 9.57 kcal/mol) for complexes 1 and 2, respectively, which is mainly of partially electrostatic and groove binding type. The cytotoxic activity of Pt complexes was examined against human colon cancer cell line which indicated good activity with IC₅₀ values of (41.66 and 47.30 μM) for both complexes after 72 h, respectively. Also, they demonstrated more inhibitory effects compared to carboplatin.

The association between low-carbohydrate diet score and sleep duration among Iranian adults

Sleep disorders are linked to obesity, type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). The evidence suggests that dietary carbohydrate content may be related to sleep duration. We designed a study to investigate the association between a low-carbohydrate diet (LCD) with long sleep duration (> 8 h) and short sleep duration (< 5 h). This cross-sectional analysis was conducted on data obtained from the recruitment phase of Yazd Health Study (YaHS) and the Taghzieh Mardom-e-YaZd (TAMYZ). The dietary intake was assessed using a validated food frequency questionnaire. The LCD score was calculated for each subject based on summing up assigned scores to deciles of percentages of energy from macronutrients. Sleep duration was assessed using a nocturnal sleep questionnaire. The association between LCD and sleep duration was evaluated using logistic regressions in crude and adjusted models. A total of 5929 subjects were entered into the analysis. Most of the participants were aged 20-29 years (24.8%), male (52.2%) and never smokers (87.7%). After adjusting for level of physical activity, age, sex, total energy, smoking status and body mass index in model III, a significant direct association was observed between LCD score with long sleep duration (OR 1.15; 95% CI1-1.32, P = 0.049) and short sleep duration (OR 1.29; 95% CI 1.02-1.62, P = 0.028). Higher LCD score is associated with higher chance of long sleep duration and short sleep duration. Regarding the nature of our study, cohort and clinical trial studies in future are required to reach a causal association and a definitive conclusion.

Evaluation of multiple linear regression function and generalized linear model types in estimating natural menopausal age: A crosssectional study

Background: Since women spend about one-third of their lifespan in menopause, accurate prediction of the age of natural menopause and its effective parameters are crucial to increase women’s life expectancy. Objective: This study aimed to compare the performance of generalized linear models (GLM) and the ordinary least squares (OLS) method in predicting the age of natural menopause in a large population of Iranian women. Materials and Methods: This cross-sectional study was conducted using data from the recruitment phase of the Shahedieh Cohort Study, Yazd, Iran. In total, 1251 women who had the experience of natural menopause were included. For modeling natural menopause, the multiple linear regression model was employed using the ordinary least squares method and GLMs. With the help of the Akaike information criterion, rootmean- square error (RMSE), and mean absolute error, the performance of regression models was measured. Results: The mean age of menopausal women was 49.1 ± 4.7 yr (95% CI: 48.8-49.3) with a median of 50 yr. The analysis showed similar Akaike criterion values for the multiple linear models with the OLS technique and the GLM with the Gaussian family. However, the RMSE and mean absolute error values were much lower in GLM. In all the models, education, history of salpingectomy, diabetes, cardiac ischemic, and depression were significantly associated with menopausal age. Conclusion: To predict the age of natural menopause in this study, the GLM with the Gaussian family and the log link function with reduced RMSE and mean absolute error can be a good alternative for modeling menopausal age. Key words: Menopause, Etiology, Statistics, Numerical data.

The association between major dietary patterns and severe mental disorders symptoms among a large sample of adults living in central Iran: Baseline data of YaHS-TAMYZ cohort study

Background

The diet’s role in developing psychological disorders has been considered by researchers in recent years.

Objective

To examine the association between major dietary patterns and severe mental disorders symptoms in a large sample of adults living in Yazd city, central Iran.

Methods

This cross-sectional study used the baseline data of a population-based cohort study (Yazd Health study: YaHS). Dietary intakes were assessed by a multiple-choice semi-quantitative food frequency questionnaire (FFQ, Yazd nutrition survey called TAMYZ). Psychological assessments were also done by using the depression, anxiety, and stress scale-21 (DASS-21) questionnaire. Major dietary patterns were identified using principal component analysis (PCA). Analysis of covariance (ANCOVA) and logistic regression analyses were used to evaluate the relationship between dietary patterns and mental disorders symptoms.

Results

A total of 7574 adults were included in the current analysis. Four major dietary patterns were identified: "Sugar and Fats”, “Processed Meats and Fish”, "Fruits" and “Vegetables and Red Meat”. After adjustment for all confounding variables, participants in the fifth quintile of “Fruits” dietary pattern which was highly correlated with dried fruits, canned fruits, fruit juice, olive, hydrogenated fats and fruits intake, had a lower odds of severe depression (OR=0.61, 95% CI: 0.45–0.81, p for trend=0.057), anxiety (OR=0.64, 95% CI: 0.50–0.80, p for trend=0.007), and stress, (OR=0.45, 95% CI: 0.30–0.68, p for trend=0.081).

Conclusions

The intake of a dietary pattern high in dried fruits, canned fruits, fruit juice, olive, hydrogenated fats, and fruits might be inversely associated with depression, anxiety, and stress symptoms. Future prospective studies are needed to warrant this finding.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13518-w.