Preferred Language
Articles
/
M-YctpwBmraWrQ4dZk90
Nutritional Status and Frailty amongst Elderly People with Diabetes at Endocrine and Diabetes Centres in Baghdad City, Iraq
...Show More Authors
Background:

Diabetes exacerbates frailty syndrome in elderly adults, with long-term protein and calorie deficiencies contributing to physical decline and worsening health outcomes.

Objective:

To assess nutritional status and frailty amongst elderly people with diabetes mellitus and to find out the relation between these two variables.

Subjects and Methods:

An analytic cross-sectional study was conducted amongst 650 elderly with diabetes mellitus at two endocrine and diabetes centres in Baghdad City-Iraq from February to June 2024. Data were collected using ‘Mini Nutritional Assessment questionnaire to assess the nutritional status and Physical Frailty Phenotype scale’ to assess frailty status amongst the elderly. Data were analysed utilising the Statistical Package for the Social Sciences software (SPSS) version 28.

Results:

Results of 650 elderly with diabetes revealed that 42.6% were aged between 60 and 69 years old, 59.8% were males, 72% lived in rural areas, 89.4% were married, 55.8% were not working, and 67.1% suffered from hypertension. The finding indicated that more than half of the elderly with diabetes suffered from malnutrition and frailty. There was a highly significant correlation between diabetes elderly nutritional status and their physical frailty amongst the elderly with diabetes.

Conclusion:

Nutritional status is a pivotal determinant in the development of frailty amongst elderly individuals with diabetes, with malnutrition significantly contributing to the progression of their condition.

Scopus Crossref
View Publication
Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Pharmaceutical Negative Results
The diagnostic value of Paraoxonase (PON 1) enzyme activity in the diagnosis of knee joint osteoarthritis: case control study
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Sun Mar 04 2018
Journal Name
Iraqi Journal Of Science
Effect of maternal exposure of silver nanoparticles on the histogenesis of cerebellum in post-implantation of albino rats embryos
...Show More Authors

View Publication
Scopus (3)
Crossref (1)
Scopus Crossref
Publication Date
Thu Dec 15 2022
Journal Name
Romanian Neurosurgery
Mobilization of the temporal pole as integrated step in microsurgical clipping of pure posteriorly directed posterior communicating artery aneurysm
...Show More Authors

A pure posteriorly posterior communicating artery (PCoA) aneurysm represents a surgical challenge. This is mainly when there is a need for good exposure of the aneurysmal neck, sac, PCoA, and anterior choroidal arteries. Ruptured pure posteriorly directed PCoA aneurysm imposes significantly extra challenge as the surgeon undergoes dissection through a tight brain. Even with measures commonly used to attain brain relaxation like the lumbar drain and cisternal fenestration. Here, we describe a technique for posterior temporal pole mobilization (TPM) as an integrated part of microsurgical clipping of ruptured pure posteriorly directed PCoA aneurysms. This technique is implicated in twenty-three successive cases of ruptured PCoA aneurys

... Show More
View Publication Preview PDF
Crossref (1)
Crossref
Publication Date
Wed Jan 01 2020
Journal Name
Technologies And Materials For Renewable Energy, Environment And Sustainability: Tmrees20
Theoretical estimation of the trapping reaction rate for deuteron-deuteron fusion in nickel metal using Bose-Einstein condensates phenomena
...Show More Authors

A mathematical model has been introduced to investigate the effect of nuclear reaction constant ( A ), probability of the BEC ground state occupation Ω i, nD is the number density of deuteron (d) and the overall number of nuclei ND on the total nuclear d-d fusion rate (R). Under steady-state of the condensates of Bose-Einstein, the postulate of quantum theory and Bose-Einstein theory were applied to evaluate the total nuclear (d-d) fusion rate trapping in Nickel-metal The total nuclear fusion rate trapping predicts a strong relationship between astrophysical S-factor and masses of Nickel. The reaction rate trapping model was tested on three reaction d(d,p)T, d(d, n)3He and d(d, 4He)Q = 23.8MeV respectively. The reaction rate has described

... Show More
View Publication Preview PDF
Scopus Clarivate Crossref
Publication Date
Sun Feb 14 2021
Journal Name
Biochemical And Cellular Archives
A RETROSPECTIVE STUDY TO EVALUATE SOME POTENTIAL RISK INDICATORS ON OSSEOINTEGRATED DENTAL IMPLANTS IN A SAMPLE OF IRAQI PATIENTS
...Show More Authors

Determining risk indicators for dental implants is an essential strategy for preventing peri-implant diseases and effective diagnosis of dental implant success. To investigate the impact of certain potential factors on the osseointegrated dental implant. Eighty-four individuals were included in our study, 50 cases as a patient’s group and 34 participants as a control group. All cases were diagnosed based on certain criteria, 30 (60%) of patients had peri-implantitis, 20 (40%) with severe periimplantitis, 36(72%) were generalized, and 15 (30%) as localized peri-implantitis cases. The study has indicated that 44.7% of dental implants were in the anterior maxilla, followed by (27.3%) posterior maxilla, (17.4%) posterior mandible, and (10.4%)

... Show More
View Publication Preview PDF
Publication Date
Thu Sep 01 2022
Journal Name
Journal Of Stomatology
The effectiveness of limited flap design in surgical removal of fully impacted lower third molars: a comparative clinical study
...Show More Authors

View Publication
Crossref (2)
Crossref
Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction
...Show More Authors

Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a

... Show More
View Publication Preview PDF
Scopus (11)
Crossref (7)
Scopus Crossref
Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
Real Time <i>in Situ</i> Remote Monitoring for Cladding Modified SMF Integrating Nanocomposite Based Ammonia Sensors Deploying EDFA
...Show More Authors

View Publication
Scopus (9)
Crossref (9)
Scopus Clarivate Crossref
Publication Date
Mon Jun 30 2025
Journal Name
Acta Logistica
A business continuity-based framework for risk management in smart supply chains: a fuzzy multi-criteria decision-making approach
...Show More Authors

The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr

... Show More
View Publication Preview PDF
Scopus (1)
Scopus Clarivate Crossref
Publication Date
Thu Feb 01 2024
Journal Name
Baghdad Science Journal
Estimating concentration of toxic ions Arsenic in water by using Photonic Crystal Fiber based on Surface Plasmon Resonance (SPR)
...Show More Authors

In this work, an enhanced Photonic Crystal Fiber (PCF) based on Surface Plasmon Resonance (SPR) sensor using a sided polished structure for the detection of toxic ions Arsenic in water was designed and implemented. The SPR curve can be obtained by polishing the side of the PCF after coating the Au film on the side of the polished area, the SPR curve can be obtained. The proposed sensor has a clear SPR effect, according to the findings of the experiments. The estimated signal to Noise Ratio (SNR), sensitivity (S), resolution (R), and Figures of merit (FOM) are approaching; the SNR is 0.0125, S is 11.11 μm/RIU, the resolution is 1.8x〖10〗^(-4), and the FOM is 13.88 for Single-mode Fiber- Photonic Crystal Fiber- single mode Fiber (SMF-P

... Show More
View Publication Preview PDF
Scopus (3)
Crossref (6)
Scopus Crossref