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D001835: Body Weight

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO

Correlated Drug Terms (13)

Name (Synonyms) Correlation
drug889 ChAdOx1-HPV Wiki 0.50
drug875 Cerebrospinal fluid sampling, meningeal and brain parenchyma biopsies Wiki 0.50
drug836 Canakinumab Injection 300mg Wiki 0.50
Name (Synonyms) Correlation
drug2477 NICU Acquires MOM Wiki 0.50
drug837 Canakinumab Injection 600mg Wiki 0.50
drug1220 Dietary intake, body composition, lifestyle, and CVD risk factors Wiki 0.50
drug2435 Mother Provides MOM Wiki 0.50
drug3083 Preventive information Wiki 0.50
drug876 Certified cloth face mask plus preventive information Wiki 0.50
drug2135 Lifestyle App Wiki 0.50
drug2262 MVA-HPV Wiki 0.50
drug2998 Placebos Wiki 0.12
drug2916 Placebo Wiki 0.02

Correlated MeSH Terms (6)

Name (Synonyms) Correlation
D001836 Body Weight Changes NIH 0.50
D001724 Birth Weight NIH 0.50
D047928 Premature Birth NIH 0.22
Name (Synonyms) Correlation
D000073496 Frailty NIH 0.18
D001068 Feeding and Eating Disorders NIH 0.17
D003920 Diabetes Mellitus, NIH 0.09

Correlated HPO Terms (2)

Name (Synonyms) Correlation
HP:0001622 Premature birth HPO 0.22
HP:0000819 Diabetes mellitus HPO 0.09

Clinical Trials

Navigate: Correlations   HPO

There are 4 clinical trials

1 Differences in Dietary Intake, Body Composition, Lifestyle and Various Cardiovascular Diseases Risk Factors Among Healthy and Active Vegetrians and Non Vegetarians

There is objective need to evaluate the differences in dietary intake (DI), body composition (BC), lifestyle (LS) and cardiovascular diseases (CVD) risk factors between healthy and active vegetarinas (VEG) and non vegetarians (non VEG) and references (according to gender). The aim of this cross-sectional study for investigators is to document the potential differences in DI (non adjusted and adjusted), BC, LS and CVD risk factors between healthy and active VEG and non VEG, aged from 18 to 80 years, and to evaluated correlation between DI variables and CVD risk factors. The study during the COVID-19 pandemic period will be self-reported. As variables the investigators will include the dietary intake, BC (body height, body weight, body mass index (BMI), body fat percentage (BF %)), lifestyle status (physical activity, daily seating, hygiene of sleep, socio-economic status, and motive for practicing chosen diet). The investigators will also record their maximum (lifetime) body weight, lipids (total-cholesterol, LDL-cholesterol, HDL-cholesterol, and triglycerides) and blood pressure (BP) status. The investigators hypothesis are: (H1): There are differences in DI and quality of the diet (compared with references). (H2): There are differences in BC between the VEG in non VEG (according to gender). (H3): The are no differences between in CVD risk factors between the VEG and non VEG (according to gender). (H4): The are no differences in the effect of two intervals of time restricted feeding (i.e., 8-12 hours vs. 12-16 hours) within dietary pattern (according to gender).

  1. Diet, Healthy
  2. Body Weight
  3. Time Restricted Feeding
  4. Sleep
  5. Cardiovascular Risk Factor
  6. Motivation
  1. Other: Dietary intake, body composition, lifestyle, and CVD risk factors
MeSH:Body Weight

Primary Outcomes

Description: Body weight measured with medically approved weighing scale

Measure: Body weight status

Time: Cross-sectional (April-June 2020)

Description: Height status measured with medically approved weighing scale with height rod

Measure: Height status

Time: Cross-sectional (April-June 2020)

Description: Measured weight and height will be combined to report BMI in kg/m2

Measure: Body mass index (BMI) status

Time: Cross-sectional (April-June 2020)

Description: Fat tissue mass measured with bioimpedance analysis

Measure: Fat tissue mass status

Time: Cross-sectional (April-June 2020)

Description: Dietary intake measured by food frequency questionnaire

Measure: Dietary intake status

Time: Cross-sectional (May-June 2020)

Description: Serum total cholesterol concentration

Measure: Serum cholesterol status

Time: Cross-sectional (May 2019-June 2020)

Description: Serum concentration of oxidized LDL-cholesterol

Measure: Oxidized Low Density Lipoprotein (LDL)-cholesterol status

Time: Cross-sectional (May 2019-June 2020)

Description: Serum HDL cholesterol concentration

Measure: Serum HDL cholesterol status

Time: Cross-sectional (May 2019-June 2020)

Description: Serum triglyceride concentrations

Measure: Serum triglyceride status

Time: Cross-sectional (May 2019-June 2020)

Description: Blood pressure status (systolic and diastolic)

Measure: Blood pressure status

Time: Cross-sectional (May 2019-June 2020)

Secondary Outcomes

Description: Socio-economic and demographic status measured using Nutritional behaviours of adults Slovenians from the point of of health prevention questionnaire (Slovenian National Institute of Health)

Measure: Socio-economic and demographic status

Time: Cross-sectional (May-June 2020)

Description: Physical activity status measured by The International Physical Activity Questionnaires

Measure: Physical activity status

Time: Cross-sectional (May-June 2020)

Description: Sleep status measured with The Pittsburgh Sleep Quality Index

Measure: Sleep status

Time: Cross-sectional (May-June 2020)

Description: Motives for dietary pattern status measured by investigators questionnaire

Measure: Motives for dietary pattern status

Time: Cross-sectional (May-June 2020)
2 Effect of Behavioral Lifestyle Intervention on Frailty in Older Adults With Diabetes: A Pilot Study

The study team want to see if changes in lifestyle and behaviors and self-monitoring of diet and physical activity in older adults who have type 2 Diabetes (T2D) may help to prevent or reduce frailty. Frailty occurs in older adults and leads people to have falls, become disabled, require nursing home placement, and have increased risk of death. T2D is one of the major risk factors for frailty. T2D is a significant problem in older adults and is known to increase the risk of future frailty.

  1. Frailty
  2. Weight, Body
  3. Type 2 Diabetes
  1. Behavioral: Lifestyle App
MeSH:Diabetes Mellitus Frailty Body Weight
HPO:Diabetes mellitus

Primary Outcomes

Description: Change in frailty measured on a scale using a frailty score (0, 1, 2, 3, 4,or 5), with higher scores out of 5 representing greater frailty. Assessments used for scoring include 1) self reported weight loss, 2) self-reported exhaustion 3) low physical activity based on the Minnesota Leisure Time Physical Activity Questionnaire (MLTPAQ) 4) Handgrip strength 5) 10 foot walk pace

Measure: Frailty Scale

Time: Baseline to 6 months

Secondary Outcomes

Description: Change in HbA1c measured over the study period

Measure: Glycated hemoglobin (HbA1c)

Time: Baseline to 6 months

Description: For PROMIS measures, higher scores equals more of the concept being measured (e.g., more Fatigue, more Physical Function). Thus a score of 60 is one standard deviation above the average referenced population. This could be a desirable or undesirable outcome, depending upon the concept being measured.

Measure: Patient-Reported Outcomes Measurement Information System (PROMIS)

Time: Baseline to 6 months

Description: The study team will administer the Short Physical Performance Battery (SPPB)69 to assess three lower extremity tasks; 1) standing balance (ability to stand with the feet together in side-by-side, semi-and full-tandem positions for 10 seconds each); 2) a 4-meter walk to assess usual gait speed; 3) time to complete 5 repeated chair stand. Each of the 3 performance measures is assigned a score ranging from 0 (inability to perform the task) to 4 (the highest level of performance) and summed to create a score ranging from 0 to 12 (best). The SPPB is sensitive to change over time

Measure: Short Physical Performance Battery (SPPB)

Time: Baseline to 6 months
3 Reducing Disparity in Receipt of Mother's Own Milk in Very Low Birth Weight Infants: An Economic Intervention to Improve Adherence to Sustained Maternal Breast Pump Use

In the US, the burden of very low birth weight (VLBW; <1500 g) birth is borne disproportionately by black (non-Hispanic black/African American) mothers who are 2.2-2.6 times more likely than nonblack mothers to deliver VLBW infants. This disparity is amplified because black VLBW infants are significantly less likely to receive mother's own milk (MOM) feedings from birth until neonatal intensive care unit (NICU) discharge than nonblack infants, which adds to the lifelong burden of VLBW birth with increased risk of morbidities and greater costs. Pumping is associated with out-of-pocket and opportunity costs that are borne by mothers, unlike donor human milk and formula, which are paid for by NICUs. This innovative trial will determine the effectiveness of the intervention in reducing the disparity in MOM feedings and provide an economic analysis of the interventions, yielding critical data impacting generalizability and likelihood of implementation of results. The investigators hypothesize that mothers who receive intervention will have greater pumping volume and duration and their infants will be more likely to receive MOM at NICU discharge compared to mothers who receive standard of care lactation care and their infants.

  1. Pumping, Breast
  2. Milk, Human
  3. Infant, Very Low Birth Weight
  4. Preterm Birth
  1. Behavioral: NICU Acquires MOM
  2. Behavioral: Mother Provides MOM
MeSH:Premature Birth Body Weight Birth Weight
HPO:Premature birth

Primary Outcomes

Description: Determined from the last full day of hospitalization and categorized as "Yes" if the infant received any or exclusive MOM and "No" if the infant received only formula.

Measure: Receipt of MOM at NICU Discharge

Time: Through study completion, an average of 10 weeks

Secondary Outcomes

Description: Determined from the entire hospitalization and categorized as "Yes" if the infant received any or exclusive MOM and "No" if the never received MOM during the hospitalization.

Measure: Receipt of any MOM

Time: Through study completion, an average of 10 weeks

Description: Determined from the entire hospitalization and calculated as the number of days infant received any MOM.

Measure: Duration of MOM feedings

Time: Through study completion, an average of 10 weeks

Description: Determined from the entire hospitalization and calculated as the total volume of MOM received by the infant.

Measure: Cumulative dose of MOM feedings

Time: Through study completion, an average of 10 weeks

Description: Determined from the entire hospitalization and calculated as the number of days mother pumped MOM.

Measure: Duration of MOM pumped

Time: Through study completion, an average of 10 weeks

Description: Determined from the entire hospitalization and calculated as the total volume of MOM pumped by the mother.

Measure: Volume of MOM pumped

Time: Through study completion, an average of 10 weeks

Description: Costs borne by healthcare providers or third-party payers, including the cost of the hospital stay and donor human milk and formula costs.

Measure: Healthcare system costs

Time: Through study completion, an average of 10 weeks

Description: Participant costs will be measured in dollars and will be the sum of opportunity costs (i.e., mother's time spent pumping (mothers in control group only), time off work to visit NICU), caregiving costs for other children or adults when mother or partner visits the NICU, transportation costs, lodging costs, and other out-of-pocket costs

Measure: Participant costs in US Dollars

Time: Through study completion, an average of 10 weeks

Description: The costs of the intervention including milk pick-up, free provision of pumps, and opportunity costs payments for the intervention arm.

Measure: ReDiMOM Intervention Costs in US Dollars

Time: Through study completion, an average of 10 weeks
4 Management of Body Weight Regulation, Symptoms of Low Energy Availability, Body Acceptance, Eating Disorders, and Sexual Harassment Among Female Martial Art Athletes, and Impact of COVID-19 on Training and Sport Participation

Athletes in martial arts compete in categories separated by body weight, hence, many athletes need to adjust their habitual body weight during periods with competition preparation. Athletes competing in weight sensitive sports are previously identified with an increased risk for symptoms of low energy availability and of disordered eating. The methods used for body weight regulation are varied, and athletes without professional competent support, are prone to rely on harmful methods. And of importance, female athletes respond more negatively to attempts of body weight reduction with regards to health effects. Athletes of martial art are not surrounded by the same professional competence seen in other organized sports within the international sport federations, and specifically health competence is lacking. Additionally, numbers of females competing in martial art have increased the last decade, but they still practice in a sport culture dominated by males; both with reference to the high number of male participants, and with reference to the coaches within this sport. Sports involving practice in intimate, physical interaction with coaches or opposing athletes, and in sports where clothing is minimal, may be a high risk of experiences of sexual harassment. There have been a few reports on harmful methods of body weight regulation within martial arts, however, little knowledge exists on the practice by female martial art athletes, and the related health effects. Information on experiences of sexual harassment have been sparse in sport generally, with very little knowledge from sports like martial arts specifically. This study aims to explore the practice of female martial art athletes on body weight regulation, recovery strategies, their body acceptance and symptoms of eating disorders, and any experiences of sexual harassment. Additionally, with regards to the recent onset of the Covid-19 pandemic, this study also explores the related experiences by the athletes on training- and eating routines.

  1. Body Weight Changes
  2. Eating Disorder Symptom
  3. Sexual Harassment
  4. Covid19
  5. RED S
MeSH:Body Weight Body Weight Changes Feeding and Eating Disorders

Primary Outcomes

Description: Evaluating intensity in symptoms of low energy availability, with one general score, one subscale measuring symptoms of menstrual irregularities, and one subscale measuring symptoms of gastrointestinal dysfunction; the three scales having cut-off scores of ≥8 , ≥4 and ≥2, with higher scorings indicating higher clinical severity.

Measure: Low energy availability for females questionnaire (LEAF-Q)

Time: Autumn 2020

Description: Measuring symptoms of eating disorders and frequency of eating disordered behavior, resulting in one total score, and four subscales (figure concern, weight concern, eating concern and eating restriction). A total score of ≥2.5 indicates high probability of having an eating disorder. Additionally, the scales measures frequency of disordered eating behavior, for which ≥1 episode per week of binge-eating and/or ≥1 episode per week of purging behavior, over a total period of ≥3 months, qualifies for an diagnosis of eating disorder.

Measure: Eating disorder examination questionnaire (EDE-q)

Time: Autumn 2020

Description: Reports on methods complied with, to achieve body weight reduction (Predefined answers, including an "other" option)

Measure: Body Weight regulation strategies, selfreported

Time: Autumn 2020

Description: Evaluates the level of body appreciation and acceptance. Questionnaire contains 10-items with a Likert scale ranging from 1 (Never) to 5 (Always), with a higher average score indicating a higher level of body appreciation.

Measure: Body appreciation scale (BAS-2)

Time: Autumn 2020

Secondary Outcomes

Description: Information on exercise frequency (number of sessions per week)

Measure: Exercise frequency, selfreported according to a designed questionnaire

Time: Autumn 2020

Description: Information on duration of sessions (minutes per session)

Measure: Exercise duration, selfreported according to a designed questionnaire

Time: Autumn 2020

Description: Information on motivation for material arts (reason for choosing the sport, and what level of performance one aims for)

Measure: Exercise motivation, selfreported according to a designed questionnaire

Time: Autumn 2020

Description: Information on the different physical activities performed (reports number of different sport activities undertaken during a typical week)

Measure: Exercise program variation, selfreported according to a designed questionnaire

Time: Autumn 2020

Description: Level of physical activity (counts/minute) objectively measured for seven consecutive days using the ActiGraph accelerometer (ActiGraph GT3x and GT3x+, Actigraph, LCC, Pensacola, Florida, USA)

Measure: Physical activity level, objectively measured

Time: Autumn 2020

Description: Four day diet registration by pictures and detailed notes, for analyses of energyintake.

Measure: Four day weighed diet registration; energyintake

Time: Autumn 2020

Description: Four day diet registration by pictures and detailed notes, for nutrient analyses. The outcomes will specifically be analysed for total intake of protein, carbohydrate, and fat (gram per kg bodyweight)

Measure: Four day weighed diet registration; nutrient intake

Time: Autumn 2020

Description: Four day diet registration by pictures and detailed notes, for nutrient analyses. The outcomes will be analysed for total intake of micronutrients specifically found to be in risk of insufficient intake among young norwegian females (calcium, vit-D, folic acid, iodine) and considering their specific needs due to high levels of physically activity (iron and vitamin C) (all given by mg nutrient consumed)

Measure: Four day weighed diet registration; nutrient intake

Time: Autumn 2020

Description: Questions on experiences of sexual harassment, current experience of such, and frequency of such episodes.

Measure: Experiences of sexual harassment

Time: Autumn 2020

Description: Questions on whether covid-19 changed their normal exercise and diet routines (yes/no), if this related to increased or decreased training volume or change in activity preferences. Additionally, whether the pandemic period has changed their energy intake (increased/decreased).

Measure: Effects from Covid-19 pandemic on exercise- and eating routines, designed questionnaire

Time: Autumn 2020

HPO Nodes


Alphabetical listing of all HPO terms. Navigate: Correlations   Clinical Trials

HPO Nodes


Data processed on September 26, 2020.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

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