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A Population-Based Study on Agreement between Actual and Perceived Body Image
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Background: Obesity tends to appear in modern societies and constitutes a significant public health problem with an increased risk of cardiovascular diseases.

Objective: This study aims to determine the agreement between actual and perceived body image in the general population.

Methods: A descriptive cross-sectional study design was conducted with a sample size of 300. The data were collected from eight major populated areas of Northern district of Karachi Sindh with a period of six months (10th January 2020 to 21st June 2020). The Figure rating questionnaire scale (FRS) was applied to collect the demographic data and perception about body weight. Body mass index (BMI) used for assessing the actual body weight status. Cohen's Kappa statistics were performed.

Results: Out of 300 participants, n=143 were males, and n=157 were females. In reality, according to BMI, 6 % were underweight, 47 % were average, 28 % were overweight, and 19 % were obese. According to perception, 8% of participants were underweight, 39 % were average, about 45% were overweight, and 8 % were obese. The mean score of real BMI was 25. 51±5.62 and figure rating score was 4.81±1.75. r value showed a strong positive relationship between both variables with a a P-value of <0.001. Cohen's Kappa score was 0.362. The rate of agreement between actual and perceived body weight status in the general population was 53.88%, and the disagreement rate was 46.12%

Conclusion: There was a weak agreement in the perception and realities of the self-image of people have the wrong impression about their body image.

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Publication Date
Fri Jan 15 2021
Journal Name
Frontiers In Cardiovascular Medicine
Association Between Periodontal Disease and Atherosclerotic Cardiovascular Diseases: Revisited
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Atherosclerotic cardiovascular disease (ACVD) is an inflammatory disease of the coronary arteries associated with atheroma formation, which can cause disability and often death. Periodontitis is ranked as the sixth most prevalent disease affecting humans affecting 740 million people worldwide. In the last few decades, researchers have focused on the effect of periodontal disease (PD) on cardiovascular disease. The aim of this review was to investigate the association between these two diseases. PD is a potential risk factor that may initiate the development, maturation, and instability of atheroma in the arteries. Two mechanisms were proposed to explain such association, either periodontal pathogens directly invade bloodstream or in

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Publication Date
Sun Nov 16 2025
Journal Name
Iraqi Journal Of Biotechnology,
Correlation Between NLRP3 Inflammasome Levels and Myocardial Infarction Diagnosis
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Myocardial infarction (MI) is a prevalent disease and is expected to become the main cause of death globally in the future The pathophysiology of MI is tightly linked to the activation of the NLRP3 inflammasome. This study involves 60 subjects who were enrolled in the Intensive Care Unit (ICU) at Ibn Al-Bitar Center for Cardiac Surgery. Patients admitted to the ICU at Baghdad Teaching Hospital and Ibn Al-Bitar Cardiac Surgery Center were included in this study, conducted from November 26, 2023, to November 20, 2024. The control group also consisted of 60 subjects, In this study ,uric acid , urea , creatinine ,Glutamic Pyruvic Transaminase (GPT) Glutamic Oxaloacetic transaminase (GOT) , Gamma Glutamyl Transferase (GGT) ,NLPR3, NT-pro

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Publication Date
Wed Jan 01 2025
Journal Name
Scripta Medica
Correlation between psoriasis severity and dyslipidaemia in Iraqi patients
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Background/Aim: Psoriasis is a persistent systemic disorder characterised by chronic inflammation and linked to multiple comorbidities, including arthritis, cardiometabolic disorders, obesity and hyperlipidaemia. Objective of this study was to identify the relationship of abnormal lipid profiles and psoriasis, as well as to pinpoint factors that correlate with disease severity. Methods: A cross-sectional study was carried out at the dermatology clinic over 6 months from the 1 August 2024 to the 1 February 2025. Patients aged 15 years and above with a diagnosis of psoriasis were enrolled. For each patient two sets of data were collected, demographical characteristics (age, sex, disease duration and the body mass index (BMI)) and the

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Publication Date
Wed Apr 01 2020
Journal Name
Plant Archives
Land cover change detection using satellite images based on modified spectral angle mapper method
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This research depends on the relationship between the reflected spectrum, the nature of each target, area and the percentage of its presence with other targets in the unity of the target area. The changes occur in Land cover have been detected for different years using satellite images based on the Modified Spectral Angle Mapper (MSAM) processing, where Landsat satellite images are utilized using two software programming (MATLAB 7.11 and ERDAS imagine 2014). The proposed supervised classification method (MSAM) using a MATLAB program with supervised classification method (Maximum likelihood Classifier) by ERDAS imagine have been used to get farthest precise results and detect environmental changes for periods. Despite using two classificatio

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Publication Date
Fri Jun 05 2026
Journal Name
Journal Of Physical Education
Strength Variable Analysis With the Height of Body Mass Center In High Spike Position 4 In Volleyball League Players
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Publication Date
Fri May 21 2021
Journal Name
International Journal Of Pavement Research And Technology
Developing Resilient Modulus Prediction Models Based on Experimental Results of Crushed Hornfels Mixes with Different Gradations and Plasticity
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Publication Date
Mon Jan 01 2018
Journal Name
International Journal Of Advanced Computer Science And Applications
Proposed an Adaptive Bitrate Algorithm based on Measuring Bandwidth and Video Buffer Occupancy for Providing Smoothly Video Streaming
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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm
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The rise of edge-cloud continuum computing is a result of the growing significance of edge computing, which has become a complementary or substitute option for traditional cloud services. The convergence of networking and computers presents a notable challenge due to their distinct historical development. Task scheduling is a major challenge in the context of edge-cloud continuum computing. The selection of the execution location of tasks, is crucial in meeting the quality-of-service (QoS) requirements of applications. An efficient scheduling strategy for distributing workloads among virtual machines in the edge-cloud continuum data center is mandatory to ensure the fulfilment of QoS requirements for both customer and service provider. E

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Publication Date
Wed Jan 01 2020
Journal Name
Biochemical & Cellular Archives
CORRELATION STUDY BETWEEN METHIONINE SYNTHASE, CYSTATHIONINE B SYNTHASE WITH CLASSIC PARAMETERS AFTER TREATED WITH JANUVIA IN IRAQI DIABETIC PATIENT'S TYPE 2 AND COMPLICATION.
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This study was aimed to examined effect of Januvia treatment on methionine synthases Meth and cystathionine B- synthase (CBS) in Iraqi patients type2 without treated and another group who taken Januvia treated in addition to diabetic patients with complication without treated with Januvia Also, to found the relationship between these parameters with BMI, FBS, HbA1C and Insulin levels. Firstly, the blood sampling date for this research between December and February 2019 - 2020. Blood sampling was withdrawn from 8:00 to 10:00 in the case of fasting of all substances . five milliliters of venous blood were collected by means of an antecubital venipuncture divided into two parts, one of which (2ml) was put in a tube containing anticoagulant fac

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Publication Date
Sun Jun 30 2024
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Gas Lift Optimization for Zubair Oil Field Using Genetic Algorithm-Based Numerical Simulation: Feasibility Study
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The gas-lift method is crucial for maintaining oil production, particularly from an established field when the natural energy of the reservoirs is depleted. To maximize oil production, a major field's gas injection rate must be distributed as efficiently as possible across its gas-lift network system. Common gas-lift optimization techniques may lose their effectiveness and become unable to replicate the gas-lift optimum in a large network system due to problems with multi-objective, multi-constrained & restricted gas injection rate distribution. The main objective of the research is to determine the possibility of using the genetic algorithm (GA) technique to achieve the optimum distribution for the continuous gas-lift injectio

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