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Prevalence of vitamin D insufficiency among young Qatari women is ∼85%. The purpose of the study was to develop a food frequency questionnaire (FFQ) and to assess the degree of agreement between food vitamin D intakes derived from FFQ and 24-h food recall (24HFR) in young Qatari women.

A vitamin D-centric, 40-item FFQ was developed based on foods consumed in Qatar. In total, 36 Qatari women provided food intakes using FFQ and 24HFR. Vitamin D contents of foods reported in FFQ and 24HFR were computed. Spearman rank correlation was used to evaluate the relation between vitamin D intakes of FFQ and 24HFR. Bland–Altman (BA) plot and quartile comparisons were performed to determine the degree of agreement between food intakes of FFQ and 24HFR.

Median intakes of vitamin D from FFQ were significantly higher compared to the vitamin D content from 24HFR (213 IU vs 126 IU; p < 0.008). Vitamin D intakes were lower with 24HFR when compared with the intakes of FFQ. There was no significant relationship between food vitamin D intake from FFQ and 24HFR (Spearman rho = 0.16; p < 0.35). In cross classification, ∼64% were assigned to the same or adjacent quartiles. As per BA plot, more than 95% food intakes were within the limits of agreement (LOA) (BA index, 2.8%).

There was a moderate agreement between vitamin D intakes and FFQ and 24HFR. 24HFR should be used with caution in assessing the habitual food vitamin D intake because of limited sources of the vitamer in Qatari cuisine. The FFQ is suitable for estimating the food vitamin D intake in young Qatari women.

The purpose of this paper is to determine arsenic, cadmium and lead contents of rice imports and to estimate their impact on these heavy metal intakes in Qatar.

In total, 30 rice samples imported from various countries (Vietnam, Thailand, India, Pakistan, the USA, Australia, the UK and Lebanon) were analyzed for arsenic, cadmium and lead contents with plasma optical spectrometer. These heavy metal intakes from rice were estimated for Qatar population based on the per capita consumption of rice as per 2018 rice consumption data.

In all rice samples, mean concentrations of arsenic, cadmium and lead were 1.11 mg/kg, 19.7 µg/kg and 131.3 µg/kg, respectively. Average arsenic, cadmium and lead contents were the highest in rice imported from Thailand (1.25 mg/kg), Vietnam (30 µg/kg) and India (178.3 µg/kg), respectively. Estimated arsenic, cadmium and lead intakes through rice consumption by Qatari population were 225.7, 4 and 26.7 µg/day, respectively.

In all rice imports, arsenic content is approximately 5.5 times higher than the maximum allowable concentration (MAC), whereas the cadmium and lead levels are within the MAC. Because these heavy metals are linked to health, all Middle Eastern countries that import rice from Thailand, Vietnam and India should monitor the metal contents in their food supply on a regular basis.

In many developing countries, the main source of food related illness is the fast foods restaurants. Health inspections of fast-food restaurants may not be sufficient to ensure and enforce the food safety regulations. The purpose of this paper is to investigate the food safety knowledge, attitudes and practices (KAP) of fast food handlers in Qatar.

Data were collected from 102 fast-food handlers through a structured survey. The questionnaire comprised questions on food safety KAP. The association between scores for KAP among the food handlers was measured with Spearman’s rank correlation.

A significant direct association was found throughout the different criteria of food safety KAP. In total, 90 percent of fast food handlers had undergone formal training on food safety. Although fast food handlers thought they had overall good knowledge on food safety (93.9 percent), results showed that they had a poor knowledge on proper cleaning of equipment, cross-contamination, foodborne diseases, food danger zone and correct procedures for thawing of frozen food. Only (34.7 percent) of the food handlers correctly identified Salmonella as a food pathogen.

Based on the current findings, the authors believe that continuous food safety and hygiene training should be implemented in all food service operations especially in fast-food restaurants in Qatar to ensure that all food handlers have the knowledge and the skill to provide safe food.

The purposes of this study were to analyze fruits, vegetables, water and soil for organochlorine pesticide (OCP) residues and to assess the food exposure of these pesticides in Qatar.

Pesticides were quantified in dates, leafy vegetables, fruiting vegetables, water and soil samples using a gas chromatography-electron capture detector and gas chromatography-mass spectrometry. These pesticides were α-benzene hexachloride (BHC), ß-BHC, heptachlor, aldrin, g-chlordane, endosulfan I, α-chlordane, dieldrin, endrin and methoxychlor. Additionally, food exposure risk assessment was performed by estimating daily intakes of OCP.

Most analyzed samples contained at least one OCP residue. Endosulfan was the only pesticide that was not detected. The concentrations of OCP in samples were below the maximum residue level (MRL) except endosulfan. Among all the samples analyzed, ˜18% of those exceeded the MRL with respect to the concentrations of methoxychlor and heptachlor. Only intake of methoxychlor (0.018 mg/day) exceeded the MRL (0.01 mg/day). Dates and fruiting vegetables were likely to pose a higher risk than leafy vegetables because they contained heptachlor, endrin and methoxychlor. Leafy vegetables might pose a greater risk than dates and fruiting vegetables because of the presence of β-BHC and dieldrin.

Eight out of ten OCPs that were measured were found to be below the MRL. These pesticides should be eliminated from the food supply based on the Qatar National Implementation Plan of the Stockholm Convention in 2010. Based on the intake risk assessment, overall, the intake of OCP may not pose a major risk to human health as the concentrations of OCP were below MRL, except methoxychlor. Water and soil are the potential sources of contamination of OCP in foods that were tested in Qatar. To limit the health risks associated with OCPs, there is a need for close monitoring of food and agricultural practices and the types of pesticides imported into Qatar.

Foods rich in polyunsaturated fatty acids are vulnerable to oxidation during processing and storage. The intake of oxidized lipids (OLs) and their subsequent relation with chronic disease risk are unknown in the US population. The paper aims to discuss these issues.

The association between OL intake and markers of adiposity and glucose homeostasis was determined based on data collected from two cycles of National Health and Nutrition Examination Surveys with a survey sample of 9,982 subjects between the ages of two to 85 years. Means or geometric means of markers of adiposity, glucose and lipid parameters were compared between the “low” and “high” consumers of OL using the t-test. Associations between OL intake and markers of adiposity, glucose and lipid parameters were determined by multivariate regression analysis.

Mean markers of adiposity were all significantly lower in subjects in the “high” OL group as compared to the “low” OL group. Fasting glucose concentrations were positively associated with OL intake unlike markers of adiposity which were negatively associated with OL intake.

Higher intake of OLs is associated with lower BMI and adiposity. However, the direct association between OL intake and fasting glucose levels suggests that lower markers of adiposity do not suggest a decreased risk of glucose intolerance.

This is the first study to estimate the consumption of OLs in the US population and its link to adiposity and glucose tolerance.

The purpose of this paper is to apply an efficient hybrid computational numerical technique, namely, q-homotopy analysis Sumudu transform method (q-HASTM) and residual power series method (RPSM) for finding the analytical solution of the non-linear time-fractional Hirota–Satsuma coupled KdV (HS-cKdV) equations.

The proposed technique q-HASTM is the graceful amalgamations of q-homotopy analysis method with Sumudu transform via Caputo fractional derivative, whereas RPSM depend on generalized formula of Taylors series along with residual error function.

To illustrate and validate the efficiency of the proposed technique, the authors analyzed the projected non-linear coupled equations in terms of fractional order. Moreover, the physical behavior of the attained solution has been captured in terms of plots and by examining the L₂ and L_∞ error norm for diverse value of fractional order.

The authors implemented two technique, q-HASTM and RPSM to obtain the solution of non-linear time-fractional HS-cKdV equations. The obtained results and comparison between q-HASTM and RPSM, shows that the proposed methods provide the solution of non-linear models in form of a convergent series, without using any restrictive assumption. Also, the proposed algorithm is easy to implement and highly efficient to analyze the behavior of non-linear coupled fractional differential equation arisen in various area of science and engineering.

The purpose of the current article is to explore the rotational behavior on nanofluid flow over an exponentially stretching surface. Heat and mass flux are formulated upon Cattaneo–Christov theory.

Effect of thermophoretic, Brownian motion and thermally convective conditions is further retained. Novel boundary layer approximations are applied to transform the governing equations of continuity, momentum, energy and nanoparticle volume fraction. Convergent series solutions are obtained to manage the rotating flow with the aid of homotopy analysis method (HAM).

Depending on the several dimensionless parameters including the local rotation parameter the Prandtl number Pr, the thermophoresis parameter, the Brownian motion parameter, the Lewis number Le, Biot number Bi, Deborah number in terms of heat flux relaxation parameter and Deborah number in terms of mass flux relaxation parameter with the dimensionless physical quantities are deliberated through graphs. Present results are also likened with the foregoing results in significance.

No such assumptions have been made for the development of analytical solution so far.

The present findings aim to investigate the thermal behavior of water-based nanofluid flow over a rotating surface, focusing on understanding the effects of different types of nanoparticles on thermal efficiency, considering thermal radiation and variable viscosity effects. By considering four distinct nanoparticles – silicon dioxide titanium dioxide, aluminum oxide and molybdenum disulfide – the study aims to provide insights into how nanoparticle addition influences heat production, thermal boundary layer thickness and overall thermal performance.

The study employs computational methods, utilizing the BVP mid-rich algorithm for the solution procedure. The computational approach allows for a detailed investigation of the thermal behavior of nanofluid flows across a rotating surface under varying conditions.

The study concludes that adding nanoparticles in the base liquid increases heat production in the system, resulting in enhanced thermal boundary layer thickness. The comparative analysis shows that different nanoparticle types exhibit varying effects on thermal efficiency, suggesting that careful selection of nanoparticles can optimize heat transport and thermal management processes. Moreover, there's a noteworthy uptrend in the radial velocity profile concerning the stretching parameter, whereas a converse trend is observed in the thermal profile.

This study contributes original insights by comprehensively investigating the thermal behavior of water-based hybrid nanofluid flow over a rotating surface.