Background: overweight and obesity are the fifth leadingrisk for global deaths. At least 2.8 million adults die eachyear as a result of being overweight or obese. Numerousstudies show that weight loss, even if only 5-10%,significantly improves dyslipidemia, hypertension, diabetesmellitus, risk for osteoarthritis and its symptoms and risk forselected cancers.Objectives: is to evaluate the effect of diet and exerciseprogram on anthropometric and biochemical status of adultobese patients.Methods: descriptive study. 124 adult obese patientsattending Al Kindy obesity research and therapy unit duringDecember 2012 were included. Measurement of Wt, heightHt and WC performed and BMI was calculated. Laboratorytest analysis, on the fasting state, was performed for plasmaglucose, uric acid, Ch, Tg, and HDL, and LDL and VLDLlevels were estimated. Patients were advised aboutdecreasing their weight by decreasing calories intake byabout 500 calories daily with increasing physical activity toone hour of medium tension aerobic exercise for 3 monthsthen reexamined.Results: eighteen point five percents are males and 81.5% are females with mean age of 37.3 years, weight was reduced by 3 kilograms and waist by 6.6 cm and BMI by 1.9Kg/m2 within 3 months. Age groups, 30-39 and 40-49 yearsshowed better response (3.5-4 kg Wt loss), while males lost2.6 kg and female lost 3.8 kg within 3 months. Withreduction of total cholesterol by 17.3 mg/dl and reduction oftotal triglycerides by 24 mg/dl and reduction of LDL by 5mg/dl and of VLDL by 4.3 mg/dl and increment of HDL by1.8 mg/dl. Mean fasting plasma glucose fell by 6.3 mg/dland the uric acid level by 0.13 mg/dl.Conclusions: mean weight loss of this program was modest and middle age group responded to weight loss program better than young significantly, old and males respond less than females but insignificantly. In addition weight loss significantly resulted in correction of lipoproteins, blood glucose, and urate levels.
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This study aims to evaluate drinking water quality at the Al Wahda plant (WTP) in Baghdad city. A conventional water treatment plant with an average flow rate of 72.82 MLD. Water samples were taken from the influent and effluent of the treatment plant and analyzed for some physicochemical and biological parameters during the period from June to November 2020. The results of the evaluation indicate that treated water has almost the same characteristics as raw water; in other terms, the plant units do not remove pollutants as efficiently as intended. Based on this, the station appears to be nothing more than a series of water passage units. However, apart from Total dissolved solids, the mean values of all parameters in th
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AbstractObjectives: The work environment has an impact on the performance of nurses, as well as to determine the relationship between the work environment and the performance of nurses.Research methodology: A descriptive analytical study was designed for the impact of the work environment on the performance of nurses' jobs in the hospitals of the city of Nasiriyah. The study began in the period from May 15, 2022 to 1 November, 2022. The non-probability (purposive) sample consisted of (410) nurses working in the city center hospitals. Nasiriyah, they were chosen based on the study criteria, and after obtaining approval from them. The data was collected using the questionnaire, which consi
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The objective of this research work is to evaluate the quality of central concrete plant of Al-Rasheed Company by using Six Sigma approach which is a measure of quality that strives for near elimination of defects using the statistical methods to improve outputs that are critical to customers. The fundamental objective of Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction to reach delighting customers, and then suggesting an improvement system to improve the production of concrete in Al-Rasheed State Contracting Construction Company.
A field survey includes two parts (open and close questionnaire) that aimed to get the data and information required f
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Trip generation is the first phase in the travel forecasting process. It involves the estimation of the
total number of trips entering or leaving a parcel of land per time period (usually on a daily basis);
as a function of the socioeconomic, locational, and land-use characteristics of the parcel.
The objective of this study is to develop statistical models to predict trips production volumes for a
proper target year. Non-motorized trips are considered in the modeling process. Traditional method
to forecast the trip generation volume according to trip rate, based on family type is proposed in
this study. Families are classified by three characteristics of population social class, income, and
number of vehicle ownersh
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