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Article
Publication date: 27 June 2022

Maryam Ranjbar Zahedani, Mohammad Hassan Eftekhari, Mehran Nouri, Shohreh Alipour, Jafar Hassanzadeh and Majid Fardaei

The purpose of this study was to evaluate the effects of methyl donor supplementation on anthropometric indices, body composition, glycemic control, lipid profile, homocysteine…

Abstract

Purpose

The purpose of this study was to evaluate the effects of methyl donor supplementation on anthropometric indices, body composition, glycemic control, lipid profile, homocysteine and appetite regulatory hormones in overweight and obese subjects.

Design/methodology/approach

This randomized double-blind placebo-controlled trial was conducted on overweight and obese subjects in Shiraz, Iran, in 2018. The 25 participants in each intervention and control group were required to take methyl donor supplement and placebo, respectively, for eight weeks. A variety of measurements was collected at baseline and the end of the study. The data were analyzed using SPSS 21 software.

Findings

The results indicated a significant reduction in weight, body mass index, body fat and waist and hip circumference (p < 0.001 for all parameters) within both groups and a significant improvement in skeletal muscle (p = 0.005), fat-free mass (p = 0.006), visceral fat area (p < 0.001) and body cell mass (p = 0.004) in the intervention group. Also, the results showed a significant difference between the two groups regarding serum homocysteine concentration at the end of the intervention (p < 0.001).

Originality/value

The results demonstrated that methyl donor supplementation might have effects on the improvement of anthropometric indices, body composition, glycemic and lipid profile status and appetite regulatory hormones among obese and overweight individuals. These effects might be attributed to their roles in energy metabolism, protein synthesis and epigenetics regulation.

Details

Nutrition & Food Science , vol. 53 no. 2
Type: Research Article
ISSN: 0034-6659

Keywords

Article
Publication date: 24 April 2024

Ali Hassanzadeh, Ebrahim Ghorbani-Kalhor, Khalil Farhadi and Jafar Abolhasani

This study’s aim is to introduce a high-performance sorbent for the removal of both anionic (Congo red; CR) and cationic (methylene blue; MB) dyes from aqueous solutions.

Abstract

Purpose

This study’s aim is to introduce a high-performance sorbent for the removal of both anionic (Congo red; CR) and cationic (methylene blue; MB) dyes from aqueous solutions.

Design/methodology/approach

Sodium silicate is adopted as a substrate for GO and AgNPs with positive charge are used as modifiers. The synthesized nanocomposite is characterized by FTIR, FESEM, EDS, BET and XRD techniques. Then, some of the most effective parameters on the removal of CR and MB dyes such as solution pH, sorbent dose, adsorption equilibrium time, primary dye concentration and salt effect are optimized using the spectrophotometry technique.

Findings

The authors successfully achieved notable maximum adsorption capacities (Qmax) of CR and MB, which were 41.15 and 37.04 mg g−1, respectively. The required equilibrium times for maximum efficiency of the developed sorbent were 10 and 15 min for CR and MB dyes, respectively. Adsorption equilibrium data present a good correlation with Langmuir isotherm, with a correlation coefficient of R2 = 0.9924 for CR and R2 = 0.9904 for MB, and kinetic studies prove that the dye adsorption process follows pseudo second-order models (CR R2 = 0.9986 and MB R2 = 0.9967).

Practical implications

The results showed that the proposed mechanism for the function of the developed sorbent in dye adsorption was based on physical and multilayer adsorption for both dyes onto the active sites of non-homogeneous sorbent.

Originality/value

The as-prepared nano-adsorbent has a high ability to remove both cationic and anionic dyes; moreover, to the high efficiency of the adsorbent, it has been tried to make its synthesis steps as simple as possible using inexpensive and available materials.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 5 October 2015

Homayoun Sadeghi-Bazargani, Jafar Sadegh Tabrizi, Mohammad Saadati, Roya Hassanzadeh and Gisoo Alizadeh

Clinical governance (CG) was used as a driver to improve safety and quality of healthcare. CG implementing is a change in health system and all the stakeholders must be…

4408

Abstract

Purpose

Clinical governance (CG) was used as a driver to improve safety and quality of healthcare. CG implementing is a change in health system and all the stakeholders must be participating. The purpose of this paper is to study nurses’ experience about CG movement in Tabriz hospitals.

Design/methodology/approach

A qualitative study using Focus Group Discussions (FGD) was done. Purposeful Sampling was used to select the objectives including 65 participants. Actually seven FGD’s were held. Content analysis was used to extract the meaningful themes.

Findings

It is revealed that nurses are the focal point in CG implementation in hospitals. Low commitment of managers and lack of physicians’ contribution was experienced by nurses. However, personnel education and development and patient safety have got more attention. Blame culture and increased work stress was reported as challenges.

Originality/value

CG as a change in healthcare system, especially in low- and middle-income countries, is faced by several challenges and its implementation would have different experiences. Nursing staff, the major group in hospitals, would be having interesting experiences through CG. Their practical opinions could guide the policy makers to employ proper plans to effectively implement CG. Considering the result of this study in practice would lead to improve CG implementation.

Details

Clinical Governance: An International Journal, vol. 20 no. 4
Type: Research Article
ISSN: 1477-7274

Keywords

Article
Publication date: 11 November 2022

Azize Tanhayi, Mojgan Mirghafourvand, Jafar Kondori, Naiemeh Moheb, Jamileh Malakutie and Khadije Hajizadeh

Premenstrual syndrome (PMS) can disrupt women’s work process, social activities and interpersonal communication and lead to a lower quality of life (QOL). This study aims to…

Abstract

Purpose

Premenstrual syndrome (PMS) can disrupt women’s work process, social activities and interpersonal communication and lead to a lower quality of life (QOL). This study aims to determine the effectiveness of happiness training based on Fordyce’s theory on QOL and the Positive and Negative Affect Schedule (PANAS) in women with PMS.

Design/methodology/approach

This randomized controlled trial was conducted on 100 women (intervention = 50, control = 50). The intervention group participated in eight 120-min sessions of training counseling based on Fordyce happiness training. The participants completed a sociodemographic questionnaire, the PANAS and the 36-Item Short Form Health Survey (SF-36). A general linear model was used to compare the mean scores of QOL and positive and negative affect after the intervention.

Findings

After the intervention, the mean scores of negative affect [MD = −6.12; 95% confidence interval (CI) = −12.10 to −1.49] and body pain (MD = −26.19; 95% CI = −38.63 to −13.72) were significantly lower in the intervention compared to the control group. Also, the mean scores of physical functioning (MD = 42.0; 95% CI = 16.37 to 67.64) and vitality (MD = 10.40; 95% CI = 4.86 to 15.39) were significantly higher in the intervention group compared to the controls.

Practical implications

Fordyce happiness training is recommended to be used in conjunction with other supportive and caregiving methods for women with PMS. Midwifes and nurses are the main source to give this training to women and can help them perform cognitive tasks, such as concentration, positive thinking and negative emotions.

Originality/value

This randomized controlled trial suggests Fordyce happiness training as a feasible and acceptable training program that can be beneficial in reducing negative affect in women with PMS.

Details

The Journal of Mental Health Training, Education and Practice, vol. 18 no. 2
Type: Research Article
ISSN: 1755-6228

Keywords

Content available
Book part
Publication date: 10 December 2018

Seyed Mohammad Moghimi

Abstract

Details

Principles and Fundamentals of Islamic Management
Type: Book
ISBN: 978-1-78769-674-7

Article
Publication date: 16 October 2023

Maedeh Gholamazad, Jafar Pourmahmoud, Alireza Atashi, Mehdi Farhoudi and Reza Deljavan Anvari

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely…

Abstract

Purpose

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran.

Design/methodology/approach

In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted.

Findings

The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed.

Originality/value

The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.

Details

Journal of Modelling in Management, vol. 19 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

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