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Body Size

Body size refers to the physical dimensions and proportions of the human body.
It encompasses factors such as height, weight, body mass index (BMI), and body composition.
Variations in body size can be influenced by genetic, environmental, and lifestyle factors.
Understanding body size is crucial in areas like nutrition, exercise, and clinical assessments, as optimal body size parameters can vary based on individual needs and health status.
PubCompare.ai, a leading AI-driven research platform, helps users locate the best protocols, products, and soltuions tailored to their specific body size requirements.
Its advanced algorithms analyze data from literature, preprints, and patents to provide optimized comparisons and insights, making it easier than ever to identify the right solutions for your needs.
Experience the future of research with PubCompare.ai.

Most cited protocols related to «Body Size»

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Publication 2014
Adult Animals Biological Assay Body Size Body Weight Cold Temperature Diptera Disease Progression Mutation physiology Proteins Staphylococcal Protein A Technique, Dilution
STRAW+10 involved a 2-day, in-person meeting hosted at the 2011 Annual Meeting of NAMS. On the first day, international experts gave oral presentations reviewing recent data bearing on the goals, as part of a public symposium, followed by comments and discussion from the audience. The first two sessions focused on data from prospective cohort studies of midlife women, clinical findings related to trajectories of change in menstrual, endocrine and ovarian markers of reproductive aging, and data relevant to how these trajectories vary by ethnicity, body size, and smoking status. A particular focus was on patterns of change in AMH, inhibin B, FSH, estradiol and AFC and their inter-relationships. A third session focused on emerging evidence related to staging reproductive aging in the context of cancer treatment, chronic illness including cancer and HIV-AIDS, and endocrine disorders including polycystic ovarian syndrome (PCOS) and primary ovarian insufficiency (POI, otherwise known as premature ovarian failure). At the end of day one, a panel reviewed and participants discussed modifications that had been proposed by symposium speakers. STRAW+10 explicitly considered feasibility of applying criteria in low resource countries.
Subsequently, 41 invited scientists convened to develop consensus and propose modifications to the STRAW model. These participants had clinical and/or research experience in female reproductive aging and included scientists from several key research groups in the United States, Canada, Australia, the Netherlands and South Africa, representatives from the NIH funded cohort studies of midlife women that have biological samples60 (link) including SWAN, the Michigan Bone Health and Metabolism Study (MBHMS), SMWHS, Biodemographic Models of Reproductive Aging (BIMORA), and the Penn Ovarian Aging Study (POAS) as well as the Australian MWMHP, as well as junior investigators who submitted qualifying posters.
Three breakout groups were formed based on scientific expertise and interest. Group 1 reviewed criteria for STRAW Stages −4 to −2. Group 2 reviewed criteria for STRAW Stages −1 to +2. Each of these two groups was subdivided into two subgroups and assigned a rapporteur. Each subgroup proposed modifications to the STRAW paradigm separately, considering criteria for the relevant stages in healthy women and the weight of evidence concerning the appropriateness of applying these criteria to smokers and women regardless of body size. Each subgroup of Group 1 and of Group 2 then reviewed the recommendations of their paired subgroup and discussed points of disagreement until consensus was reached. Group 3 discussed staging in the context of endocrine disorders and chronic illness and proposed modifications. This group then integrated with one of the Group 1 or Group 2 subgroups.
On the second day, the 41 scientists convened to review and discuss proposed modifications. First, Group 1 and Group 2 reviewed the other group’s recommendations proposed on the previous day. In this way, all groups reviewed all stages under consideration (Stages −4 to +2) Then, the group at-large met to discuss each proposal and final recommendations were adopted by consensus. Preliminary recommendations of the STRAW+10 Workshop were presented at the NAMS annual meeting on September 22 with comments and requests for clarification considered by the STRAW+10 program committee.
Publication 2012
Acquired Immunodeficiency Syndrome Biopharmaceuticals Body Size Bones Conferences Disease, Chronic Endocrine System Diseases Estradiol Ethnicity Females inhibin B Malignant Neoplasms Menstruation Metabolism Native American myopathy Ovarian Failure, Premature Ovary Polycystic Ovary Syndrome Reproduction Signs and Symptoms System, Endocrine Woman

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Publication 2008
Antihypertensive Agents Body Size Body Surface Area Dental Caries Diabetes Mellitus Diastole Endocardium Epistropheus Glucose Heart Heart Ventricle High Blood Pressures Hypoglycemic Agents Left Ventricles Males Myocardium Obesity Papillary Muscles Woman
The SUN project (Seguimiento Universidad de Navarra) is a multi-purpose, dynamic cohort conducted in Spain, consisting of exclusively university graduates as participants. The recruitment of participants began in December 1999 and it is permanently open. Information is collected using self-administered questionnaires sent by postal mail every two years. The objectives and methods of this project have been detailed previously [21 (link)].
As of February 2008, data from 19,057 participants were coded and prepared for analysis. All participants who complete a baseline assessment (Q_0) before May 2005 were eligible for these analyses (n = 15,502). Among them, 1,852 did not answer any of the follow-up questionnaires; after five mailings, they were considered lost to follow-up. We retained 13,650 participants. Among them, 4,328 were recruited more than 6 years ago and we had data from the baseline (Q_0), the 2-year (Q_2), the 4-year (Q_4), and the 6-year (Q_6) follow-up questionnaires. The number of participants retained for the 4-year follow-up (they returned Q_2 and Q_4) and for the 2-year follow-up (they returned Q_2) were 4,265 and 5,057, respectively. The overall follow-up rate was approximately 89%.
Participants who had some of the following characteristics were excluded from the analysis (n = 3,364): subjects who reported the use of antidepressants or those with a self-reported physician-made diagnosis of depression at baseline (n = 1,565), those who reported extremely low or high values for total energy intake, because they were more likely to have failed to properly complete the questionnaire (less than 800 Kcal/day in men and 500 Kcal/day in women or more than 4000 Kcal/day in men and 3500 Kcal/day in women) (n = 1,184), we also excluded those without information on body size perception (n = 582), and pregnant women at baseline (n = 33). Finally, data from 10,286 participants remained available for the analysis.
The study was approved by the Human Research Ethical Committee at the University of Navarra. Voluntary completion of the first questionnaire was considered to imply informed consent.
Publication 2009
Antidepressive Agents Body Size Diagnosis Homo sapiens Human Body Physicians Pregnant Women Size Perception Woman
As noted above, the NCS-A household survey included adolescents who resided in households identified in the NCS-R. Selection of NCS-R households is described in detail elsewhere6 (link) and will not be repeated here other than to note that the households were based on a three-stage clustered area probability sampling design that was representative of households in the continental US. Age and sex of each household member were recorded, allowing us to target households with adolescents. The NCS-A school sample, in comparison, was selected from a comprehensive government list of all licensed schools in the country. Although school-based samples miss adolescents who have dropped out of school, the NCS-A also included youth from the NCS-R household sample. A representative sample of middle schools, junior high schools, and high schools in the NCS-R counties was selected from the government list with probabilities proportional in size of the student body in the classes relevant to the target sample of youth ages 13–17. All accredited schools were eligible, including private and residential schools. In some cases where there were several small schools in a geographic area, those schools were combined to form a cluster that was treated as a single school for purposes of sampling.
School recruitment consisted of contacting individual school Principals, with the district’s approval, to obtain rosters from which to contact student families for study participation. Schools were provided $200 as a token of appreciation for this cooperation. Within each school, a random sample of 40–50 eligible students was selected for sampling. Toward the end of the recruitment period when more schools were needed to complete the study, school payment was increased to $300. A total of 320 schools participated in the survey. We began with a target sample of 289 schools initially contacted for participation, of which 81 agreed. The primary reason for refusal was reluctance to release student information. Some schools had policies against giving out student information. We had the additional problem that our recruitment took place shortly after the Columbine shooting incident, at which time schools around the country were inundated with requests from local colleges to carry out studies of students in area schools.
Districts that required formal research proposals usually granted our request eventually, but sometimes with the stipulation that they would only release student information if they first had parental written consent. We generally rejected schools of the latter type based on the fact that active parent consent has been shown in previous research to result in a very low response rate. In cases where no replacement schools were readily available, though, we agreed to this requirement. This occurred in roughly 15% of schools. As shown below, the response rate was dramatically lower in this subsample, which we referred to as blinded schools because we were blinded to the identities of the sample students until after signed consent was obtained by the school principals.
Based on the low initial school-level response rate and often protracted time frame of recruitment, we recruited multiple replacement schools for some refusal schools. Replacement schools were selected to match the initial refusal schools in terms of school size, geographic area, and demographic characteristics. The fact that we ended up with 320 schools rather than the original 289 reflects this expansion of recruitment. In cases where multiple replacement schools were included in the sample for one original school, the total number of interviews targeted in the replacement schools added up to the number targeted for the original school.
Publication 2009
Adolescent Aquilegia Body Size Households Reading Frames Student Youth

Most recents protocols related to «Body Size»

Example 6

In operation, the expansion of the tissue may be gradual and may be determined by the condition, body size and the breast size of the patient. The volume of gas or liquid given in one injection may be from about 25 ml to about 150 ml, for example, 50 ml. The first injection may be, for example, 50 ml and the volume may be adjusted based on the patient's condition and skin response to distention. The frequency of the injection of gas or liquid may also be adjusted depending on the patient's condition. In one embodiment, injection is done once every week. In another embodiment, for example, when a rapid expansion protocol is desired, small volumes may be injected daily, for example, about 25 ml daily for about 10 consecutive days.

Patent 2024
Body Size Breast Patients Skin Tissue Expansion Tissue Expansion Devices
Reproductive output – clutch size, total clutch mass – increased with increasing size and age. Therefore, for the analyses that included female reproductive output along with age in the model, we used raw values of reproductive output without correcting for body size. All linear models were performed in SAS v. 9.4 (SAS Institute, Cary, NC, USA).
Publication 2023
Body Size Females Reproduction
Parent perception of child weight was assessed with a figure rating scale [38 (link)]. Parents selected an image of a silhouette they believed corresponded to their child’s current body size; their selection was compared to their child’s actual BMI classification to determine if they over- or underestimated the child’s size. Responses were dichotomized for analysis (overestimated versus underestimated or correctly estimated).
Publication 2023
Body Size Child Parent Weight Perception
In the laboratory, water samples were concentrated to approximately 200 mL by siphoning off the supernatant after the sample had settled for 60 h. This settling and siphoning process was repeated until a final concentrated volume of 50 mL was achieved, which was then settled in two Utermöhl counting chambers (25 mL per chamber)82 for at least 24 h. Planktonic ciliates were counted using an Olympus IX 73 inverted microscope (100 × or 400 ×) according to the process of Utermöhl82 and Lund et al.83 (link).
For each species, size (length, width, according to shape) of the cell (aloricate ciliate) or lorica (tintinnid, especially length and oral diameter) were determined for at least 10 individuals if possible. Aloricate ciliates were categorized into small (10–20 μm), medium (20–30 μm) and large (> 30 μm) size-fractions for maximum body length of each individual following Wang et al.43 (link). Tintinnid taxa were identified according to the size and shape of loricae following previous references1 ,9 (link),40 ,44 (link),84 –86 . Tintinnid species richness in each station was highlighted by the number of tintinnid species that appeared in that station. Because mechanical and chemical disturbance during collection and fixation can detach the tintinnid protoplasm from the loricae87 ,88 , we included empty tintinnid loricae in cell counts.
Publication 2023
Body Size Cells Ciliata Microscopy Plankton Protoplasm
To examine the relationship between infection‐mediated feeding behaviors and host susceptibility, we measured the proportion of hosts that became infected and the survivorship of infected hosts relative to control hosts (0 sp/mL treatment). Then, to determine how changes in feeding behaviors affect the realized fitness of both hosts and pathogens, we quantified host growth, fecundity, and transmission potential (spore yield). We maintained individuals at 22°C in vials of 15 mL of COMBO for 14 days post‐exposure (or death, whichever came first). Individuals were moved to fresh media, fed (1 mgC/L for the first 7 days and 2 mgC/L for the rest), and checked for offspring every other day. To keep results consistent across individuals, we ended the experiment 14 days after exposure, when the first individuals began to die; our central goal here was to quantify changes in feeding rate and transmission potential (spore yield) and not longevity.
We visually diagnosed terminal infections with a dissecting microscope, measured final body size (at 5× magnification), and collected individuals to quantify spore loads using flow cytometry. We used a DxP10 flow cytometer (Cytek) equipped with a BD FACSort system (Becton Dickinson Biosciences). To isolate mature transmission‐ready spores from algae, animal debris, or immature spores (Stewart Merrill & Caceres, 2018 (link)), we used custom gates based on fluorescence forward scatter (FSC) and side scatter (SSC) with 488 and 561 nm lasers and fluorescent beads as standards (SPHERO; AccuCount Fluorescent Particles, 7.0–8.0 μm) at a ratio of 12:1 for each individual's spore solution (1 animal in 300 μL of COMBO). We then verified flow cytometry spore counts by randomly selecting five individuals from each genotype and spore exposure level and manually counting spores using a hemocytometer (for “Standard,” R2 = .91; patterns for all other genotypes were comparable—see Appendix S1).
Publication 2023
Animals Body Size Feeding Behaviors Fertility Flow Cytometry Fluorescence Genotype Infection Microscopy Pathogenicity Spores Susceptibility, Disease Transmission, Communicable Disease

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More about "Body Size"

Explore the comprehensive world of body size and dimensions with our AI-powered research platform.
Body size encompasses factors like height, weight, body mass index (BMI), and body composition, which can be influenced by genetic, environmental, and lifestyle factors.
Understanding optimal body size is crucial in areas such as nutrition, exercise, and clinical assessments, where individual needs and health status must be considered.
PubCompare.ai utilizes advanced algorithms to analyze data from literature, preprints, and patents, providing tailored insights and comparisons to help you identify the best protocols, products, and solutions for your specific body size requirements.
Discover the power of Lunar iDXA for precise body composition analysis, leverage SAS 9.4 and MATLAB for data processing and visualization, and optimize your research with GraphPad Prism 7, Prism 6, and QDR 4500A tools.
Enhance your experiments with TRIzol reagent and Prism 8, and seamlessly integrate activity monitoring chambers to gain a holistic understanding of body size and related factors.
Experience the future of research with PubCompare.ai and unlock the secrets of optimal body size for your needs.