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Ideal Body Weight

Ideal body weight refers to the optimal weight range for an individual based on factors such as height, age, and body composition.
This measure aims to promote health and reduce the risks associated with being underweight or overweight.
Factors like genetics, lifestyle, and medical conditions can influence an individual's ideal body weight.
Determining and maintaining an ideal body weight is important for overall well-being and can help prevent issues like cardiovascular disease, diabetes, and musculoskeletal problems.
Researching effective protocols to optimize ideal body weight is an active area of study, with AI-driven comparisons helping to identify the most reproducible and accurate solutions from scientific literature.

Most cited protocols related to «Ideal Body Weight»

Demographic and clinical information was extracted from the medical record. We identified a patient’s weight nadir, defined as the lowest weight achieved at least 10 months after surgery without coexisting debilitating illness or use of weight-lowering medications. One-year weight was defined as the weight measurement closest to 12 months and within the range of 10–14 months after surgery. Post-operative weights were available for 846 patients (83.3%). Chart-derived nadir weights were validated by telephone interviews in a subset of patients (n=306); there was a 94% concordance between these two sources. Diabetes diagnoses were extracted from patient charts and defined as the presence of any of the following: documentation of diabetes, a fasting glucose measurement ≥ 126 mg/dL, or the use of the anti-diabetes medications insulin or metformin.
Weight loss was characterized at one year and at weight nadir using seven different metrics (Table 1). Residuals were calculated by regressing postoperative BMI (the dependent variable) on preoperative BMI (the independent variable) and outputting the residuals from this model. Because residuals derived from regressing postoperative BMI on preoperative BMI are orthogonal to preoperative BMI, we used these residuals as the benchmark of independence from preoperative BMI. WL characterized by the number of pounds lost was calculated by subtracting the patient’s final weight from his or her baseline weight. As BMI is a function of weight and height, and height is almost always stable over the course of a weight loss study, BMI lost and pounds lost are closely similar methods for measuring weight loss. Percent weight loss (%WL) was calculated by dividing the absolute pounds lost by the patient’s initial weight and is statistically interchangeable with percent BMI change. Percent excess body weight loss (%EBWL) was calculated by dividing the difference between initial BMI and final BMI by the difference between initial BMI and a “normal” target BMI. A BMI of 25 kg/m2, the upper limit of a “normal” BMI, is frequently used as the target, but other standards, including race-specific BMI standards or other “ideal weights” according to the Metropolitan Life Insurance Company life tables, may also be used to represent “normal.” In this study, %EBWL was calculated using a reference normal BMI of 25 kg/m2. Using this definition, a patient with a BMI of 35 kg/m2 has 10 “excess” BMI points, and if this patient were to achieve a BMI of 30, 25, or 20 kg/m2 through weight loss intervention, he or she would have lost 50%, 100%, or 150% of his or her excess weight, respectively.
Publication 2012
Diabetes Mellitus Diagnosis Glucose Human Body Ideal Body Weight Insulin Metformin Operative Surgical Procedures Patients Pharmaceutical Preparations
The SR+/− construct was bred to a C57BL/6 background for at least 7 generations before SR+/− parents were bred to produce SR−/− and WT offspring. The ratio of SR−/−, SR+/− and WT offspring resulting from heterozygote crosses did not deviate significantly from the expected 1:2:1 ratio. SR−/− and SR+/− animals were grossly normal, with normal body weight, appearance, grooming, and neurological reflexes. Animals were maintained on a 12h:12h light/dark cycle and provided with food and water ad libitum. Fifteen male and fifteen female animals of the SR−/− and WT genotypes were tested in behavioral assays at 7-12 weeks of age in the following sequence: locomotor activity, rotarod, PPI, water maze. The experimenter (ACB) was blind to genotype when conducting the experiments.
Publication 2008
Animals Biological Assay Females Food Genotype Heterozygote Ideal Body Weight Locomotion Males MAZE protocol Parent Reflex SR-AT Visually Impaired Persons
The SR+/− construct was bred to a C57BL/6 background for at least 7 generations before SR+/− parents were bred to produce SR−/− and WT offspring. The ratio of SR−/−, SR+/− and WT offspring resulting from heterozygote crosses did not deviate significantly from the expected 1:2:1 ratio. SR−/− and SR+/− animals were grossly normal, with normal body weight, appearance, grooming, and neurological reflexes. Animals were maintained on a 12h:12h light/dark cycle and provided with food and water ad libitum. Fifteen male and fifteen female animals of the SR−/− and WT genotypes were tested in behavioral assays at 7-12 weeks of age in the following sequence: locomotor activity, rotarod, PPI, water maze. The experimenter (ACB) was blind to genotype when conducting the experiments.
Publication 2008
Animals Biological Assay Females Food Genotype Heterozygote Ideal Body Weight Locomotion Males MAZE protocol Parent Reflex SR-AT Visually Impaired Persons
A sample of 800 mothers (200 in each arm) will be required for the study at baseline, allowing for approximately 25% drop-out. The sample size calculation was based on detecting differences in the two main outcomes: weight velocity and body mass index (BMI) at two years with power set at 80% and two-sided significance (alpha) at 5% in all cases. A sample size of 103 per group is needed to detect a difference in the proportion of children having a weight velocity above the 75th centile of the World Health Organisation (WHO) "ideal growth" standards of 50 versus 30% in any two arms of the trial at 3 years. One hundred and forty-two participants per group would be required to detect a difference in BMI of 0.5 kg/m2 using a mean (SD) of 16.8 (1.5) from an earlier study [79 (link)]. Our study is also sufficiently powered to detect differences in several secondary outcomes including a difference in 24-hour sleep duration of 0.5 h (23 participants per group assuming a SD of 0.6 h) and a difference in sleep problems of 35% versus 20% (151 per group).
Publication 2011
A 103 Arm, Upper Child Dyssomnias Ideal Body Weight Index, Body Mass Mothers

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Publication 2013
Albumins Alleles Body Weight Cells Cyclophosphamide Cyclosporine Dextran fludarabine Graft-vs-Host Disease Grafts Granulocyte Colony-Stimulating Factor HLA-A Antigens HLA-B Antigens Ideal Body Weight Mycophenolate Mofetil Neutrophil Patients Thiotepa

Most recents protocols related to «Ideal Body Weight»

The GNRI was calculated based on actual and ideal body weight and serum albumin values using the following formula: GNRI = (14.89 × albumin [g/dL]) + (41.7 × [actual body weight/ideal body weight])16 (link). In the current study, the median GNRI value for all subjects was 102.6 (interquartile range, 94.0–109.5). Subjects were classified into three groups according to these first and third quartiles: low (L)-GNRI group, < 94.0 (first quartile); intermediate (I)-GNRI, between 94.0 and 109.5 (third quartile); and high (H)-GNRI group, > 109.5 (see Supplementary Fig. S2 online).
Publication 2023
Albumins Ideal Body Weight Serum Albumin
Anthropometric and laboratory data were obtained immediately before and 1 year after the surgery. The serum cortisol concentration was measured in the morning before breakfast and at rest during hospitalization for surgery. The amount of skeletal muscle and fat mass were measured by the bioelectrical impedance method with an In-Body S20 body composition analyzer (Biospace, Seoul, Korea). The subcutaneous fat area (SFA) and visceral fat area (VFA) were calculated from abdominal computed tomography images obtained at the navel level. The visceral/subcutaneous fat area ratio (VSR) was obtained as 100 × VFA/SFA. The percent total weight loss (%TWL) was calculated as 100 × (operative weight − follow-up weight) / operative weight. The percent excess weight loss (%EWL) was calculated as 100 × (operative weight − follow-up weight) / (operative weight − ideal body weight). The skeletal muscle index (SMI) was calculated by dividing skeletal muscle weight (kg) by body weight (kg). The primary end point of the study was the identification of significant preoperative predictors of %TWL.
Publication 2023
Abdomen Bioelectrical Impedance Body Composition Body Weight Hospitalization Hydrocortisone Ideal Body Weight Operative Surgical Procedures Serum Skeletal Muscles Subcutaneous Fat Umbilicus Visceral Fat X-Ray Computed Tomography
We recommend prescribing a dietary protein intake of at least 0.8 g/kg of protein and 25 kcal/kg of energy based on previous clinical findings in the Chinese PD population and the guideline from EBPG [13 (link),15 (link),16 (link),20 (link)]. For patients with decreased dietary intake, the doctors would check whether they had some complications and gave them treatment accordingly. The dietitian would provide nutritional counseling, encourage them to increase their dietary intake, and prescribe some nutrients as needed.
During the follow-up, all patients were asked to visit PD clinic regularly with their three-day dietary records. Three-day dietary records at the sixth month of dialysis were collected as baseline data and were collected every three months for two and a half years. After checking using food models by the dietitian, the information of the food diary was inputted into a computer software program (PD Information Management System, Peking University Third Hospital, and then the dietary intake was calculated accordingly. Nitrogen intake (NI) was calculated as protein intake (g/d)/6.25. DPI and daily energy intake (DEI) were normalized by ideal body weight (IBW), which was defined as body height (cm) minus 105 (modified Broca method) [21 ].
Publication 2023
Body Height Chinese Dialysis Dietary Proteins Dietitian Food Ideal Body Weight Nitrogen Nutrients Patients Physicians Proteins Signs and Symptoms
General demographic data, including age, sex, height, body weight, type of antihypertensive medication, frequency of DM and frequency of dyslipidemia, were obtained from medical records at the time of diagnostic kidney biopsy. Laboratory measurements included hemoglobin, creatinine, estimated glomerular filtration rate (eGFR), uric acid, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), urinary β2-microglobulin, and 24 h proteinuria. Urine was collected for 24 h, and dietary sodium intake was assessed using 24 h urinary sodium excretion. Estimated protein intake was estimated from 24 h urinary urea excretion according to Maroni’s formula (21 (link)), normalized to ideal body weight, and expressed as g/kg/day. Ideal body weight was defined as a BMI of 22 kg/m2, as previously reported (22 ).
Diabetes mellitus was defined as a HbA1c value > 6.5% (National Glycohemoglobin Standardization Program) or the use of antidiabetic medications. Dyslipidemia was defined as LDL-C ≥ 140 mg/dL, HDL-C < 40 mg/dL, TG ≥ 150 mg/dL, or the use of antihyperlipidemic agents (23 (link)). BMI was defined as body weight divided by the square of height, and eGFR was calculated using the following formula for Japanese subjects: eGFR (mL/min/1.73 m2) = 194 × Cr–1.094 × age–0.287 (× 0.739 for women) (24 (link)).
In addition, patients were classified into four CKD prognostic groups (low risk, moderately increased risk, high risk and very high risk) by glomerular filtration rate (GFR) and proteinuria categories according to the KDIGO (Kidney Disease Improving Global Outcomes) 2012 Clinical Practice Guidelines for the Evaluation and Management of Chronic Kidney Disease (Supplementary Figure 1) (25 (link)).
Publication 2023
Antidiabetics Antihypertensive Agents Biopsy Body Weight Cholesterol, beta-Lipoprotein Chronic Kidney Diseases Creatinine Diabetes Mellitus Diagnosis Dyslipidemias Glomerular Filtration Rate Hemoglobin Hemoglobin, Glycosylated High Density Lipoprotein Cholesterol Hypolipidemic Agents Ideal Body Weight Japanese Kidney Kidney Diseases Patients Proteins Sodium Triglycerides Urea Uric Acid Urine Woman
The study included 4308 patients (30% men) aged 65–107 years (Table 1). The majority (60%) of participants were examined in a polyclinic setting, 20% examined in a hospital, 19% at home, and 1% in residential institutions/assisted-living facilities. Among those examined, overweight patients prevailed (41%), while the proportion of patients with obesity and normal body weight was similar (30% and 28%), and 1.3% of participants were underweight (Table 1). Among patients with obesity, the majority of participants were obesity type I. With an increase in age, there is a decrease in height, body weight, BMI, the proportion of obese patients, and the severity of obesity, as well as an increase in the proportion of patients with normal weight. The proportion of overweight patients was identical in all age groups. The mean values of systolic and diastolic BP and heart rate were within the normal range in all patients; however, diastolic BP also decreased with age and pulse BP increased with similar identical values of systolic BP and HR.

Demographic, anthropometric, and clinical characteristics of patients aged 65 years and older (values in bold indicates statistical difference)

ParameterAll patients (n = 4308)Age groupsp for trend
65–74 years (n = 1583)75–84 years (n = 1519) ≥ 85 years (n = 1206)
Age, years (M ± SD)78.3 ± 8.469.1 ± 2.679.4 ± 2.588.9 ± 3.3-
Male gender, %29.731.927.329.90.020
Height, m (M ± SD)1.63 ± 0.091.64 ± 0.081.62 ± 0.081.61 ± 0.09 < 0.001
Weight, kg (M ± SD)73.9 ± 14.378.3 ± 14.573.3 ± 13.368.9 ± 13.2 < 0.001
Body mass index, kg/m2 (M ± SD)27.9 ± 5.029.0 ± 5.227.9 ± 4.926.6 ± 4.4 < 0.001
Body mass, %
  Deficit1.31.00.92.20.007
  Norm27.621.328.434.7 < 0.001
  Excess40.941.139.642.20.414
  Obesity30.236.631.121.0 < 0.001
Degrees of obesity, % (n = 1264)
  I72.266.875.078.80.001
  II21.624.220.218.40.118
  III6.39.04.82.80.001
Systolic blood pressure, mm Hg (M ± SD)136.1 ± 16.5136.4 ± 16.6136.0 ± 16.0135.8 ± 17.00.819
Diastolic blood pressure, mm Hg (M ± SD)80.2 ± 9.581.6 ± 9.580.1 ± 9.278.5 ± 9.7 < 0.001
Pulse blood pressure, mm Hg (M ± SD)55.9 ± 13.054.8 ± 12.555.8 ± 12.457.3 ± 14.0 < 0.001
Heart rate, beats/min (M ± SD)72.7 ± 8.672.6 ± 8.373.0 ± 9.172.3 ± 8.30.111
Publication 2023
14-3-3 Proteins Age Groups Blood Pressure Ideal Body Weight Males Obesity Obesity, Morbid Patients Pressure, Diastolic Pulse Rate Rate, Heart Systole Systolic Pressure

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More about "Ideal Body Weight"

Ideal Body Weight (IBW) refers to the optimal weight range for an individual based on factors such as height, age, and body composition.
This metric aims to promote overall health and reduce the risks associated with being underweight or overweight.
Factors like genetics, lifestyle, and medical conditions can influence an individual's IBW.
Maintaining an ideal body weight is crucial for wellbeing and can help prevent issues like cardiovascular disease, diabetes, and musculoskeletal problems.
Researching effective protocols to optimize IBW is an active area of study, with AI-driven comparisons helping to identify the most reproducible and accurate solutions from scientific literature.
Techniques like those used in C57BL/6J mice studies, D & P Modular Analyzer assessments, and CareLink iPro monitoring can provide insights into ideal weight ranges and optimization strategies.
Digital scales, such as the BC-420MA, can be utilized to accurately measure body weight, while statistical software like SAS version 9.4 and R version 4.0.2 can assist in data analysis.
Tools like the Smedley and TBF-300 can also help determine body composition and track changes in ideal weight.
Hologic QDR Discovery A can provide further insight into bone density and overall health factors related to IBW.
By leveraging these technologies and research approaches, individuals and researchers can work towards identifying and maintaining the most optimal body weight for their unique needs, ultimately supporting long-term health and wellbeing.
PubCompare.ai's AI-driven protocols can help you locate the best reproducible and accurate solutions from literature, pre-prints, and patents, ensuring you find the most effective strategies for your body weight optimization goals.