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Weight for Height Age

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1. Heterogeneity in the effect of mid-childhood height and weight gain on human capital at age 14-15 years: Evidence from Ethiopia, India, Peru, and Vietnam. (PubMed)

Heterogeneity in the effect of mid-childhood height and weight gain on human capital at age 14-15 years: Evidence from Ethiopia, India, Peru, and Vietnam. Under-nutrition in early childhood has harmful impacts on human capital formation in children, with implications for educational, adult health, and labor market outcomes. We investigate the association of linear growth and weight gain in mid-childhood with years of schooling, the Peabody Picture Vocabulary Test score, and math test score (...) during the adolescent age of 14-15 years.Data were derived from the Young Lives study conducted in four low- and middle-income countries (Ethiopia, India, Peru, and Vietnam). The data had detailed information on the children anthropometry and characteristics of the child, household, and community. Multivariate regression analysis, adjusted for the confounding variables, was used to investigate the association between mid-childhood health, measured by conditional linear growth and relative weight gain

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2019 PLoS ONE

2. Weight estimation for children aged 6 to 59 months in limited-resource settings: A proposal for a tape using height and mid-upper arm circumference. (PubMed)

Weight estimation for children aged 6 to 59 months in limited-resource settings: A proposal for a tape using height and mid-upper arm circumference. A simple, reliable tool for rapid estimation of weight in children would be useful in limited-resource settings where current weight estimation tools are not reliable, nearly all global under-five mortality occurs, severe acute malnutrition is a significant contributor in approximately one-third of under-five mortality, and a weight scale may (...) not be immediately available to healthcare professionals including first-response providers.To test the accuracy and precision of an existing weight estimation tool based on patient height and mid-upper arm circumference (MUAC) in children between six months and five years of age in low-to-middle income countries.Data were collected in 2,434 nutritional surveys during 1992-2017 using a modified Expanded Program of Immunization two-stage cluster design.Locations in 51 low-to-middle income countries with high

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2018 PLoS ONE

3. Beverage consumption patterns at age 13–17 are associated with weight, height, and BMI at age 17 (PubMed)

Beverage consumption patterns at age 13–17 are associated with weight, height, and BMI at age 17 Sugar-sweetened beverages (SSBs) have been associated with obesity in children and adults; however, associations between beverage patterns and obesity are not understood.Our aim was to describe beverage patterns during adolescence and associations between adolescent beverage patterns and anthropometric measures at age 17 years.We conducted a cross-sectional analyses of longitudinally collected (...) data.Data from participants in the longitudinal Iowa Fluoride Study having at least one beverage questionnaire completed between ages 13.0 and 14.0 years, having a second questionnaire completed between 16.0 and 17.0 years, and attending clinic examination for weight and height measurements at age 17 years (n=369) were included.Beverages were collapsed into four categories (ie, 100% juice, milk, water and other sugar-free beverages, and SSBs) for the purpose of clustering. Five beverage clusters were

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2017 Journal of the Academy of Nutrition and Dietetics

4. Comparison of self-reported and directly measured weight and height among women of reproductive age: a systematic review and meta-analysis. (PubMed)

Comparison of self-reported and directly measured weight and height among women of reproductive age: a systematic review and meta-analysis. The use of self-report as a strategy for collecting data on women's weight and height is widespread in both clinical practice and epidemiological studies. This study aimed to compare self-reported and directly measured weight and height among women of reproductive age.In July 2015 we searched MEDLINE, EMBASE, COCHRANE, CINHAL, LILACS and gray literature. We (...) included women of reproductive age (12-49 years old) independently of their weight or height at the time of the study. Women with any condition that implies regular tracking of their weight (for example, eating disorder) were excluded. Two reviewers independently selected, extracted and assessed the risk of bias of the studies. We used REVMAN 5.3 to perform the meta-analysis. Heterogeneity was assessed using the I2 statistic.Following eligibility assessment, 21 studies of 18 749 women met the inclusion

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2018 Acta Obstetricia et Gynecologica Scandinavica

5. The relationship between splenic length in healthy children from the Eastern Anatolia Region and sex, age, body height and weight (PubMed)

The relationship between splenic length in healthy children from the Eastern Anatolia Region and sex, age, body height and weight The normal limits of spleen size must be known in order for pathological changes to be noticed. The aim of this retrospective study is to determine the normal limits of spleen size in healthy children and to reveal their relation to sex, age, body height and weight.Three hundred and ten children (150 girls and 160 boys) between 0-16 years of age in Eastern Anatolia (...) separated according to sex. The correlation analysis has shown a positive and significant correlation between splenic length and age, body height, and weight, with high correlation coefficients (r > 0.80). Splenic length showed the strongest correlation with body height.In children clinically suspected of organomegaly, splenic length can be used to assess organ size. The presented data can be applied to routine ultrasonography examinations.

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2018 Journal of Ultrasonography

6. Patient Height, Weight, BMI and Age as Predictors of Gracilis Muscle Free-Flap Mass in Lower Extremity Reconstruction (PubMed)

Patient Height, Weight, BMI and Age as Predictors of Gracilis Muscle Free-Flap Mass in Lower Extremity Reconstruction Gracilis muscle flap is commonly used for the reconstruction of defects of the lower extremities. Preoperative evaluation of gracilis muscle dimension is a key aspect in surgical planning. This study aimed to determine whether patient height, weight, body mass index (BMI) and age are reliable proxy measurements of the mass of gracilis muscle flap.Twenty-two patients treated (...) for lower extremity reconstruction with free gracilis flap between December 2010 and December 2014 were considered. The relationships between the mass of gracilis muscle and patient height, weight, BMI and age were assessed with Pearson's product moment correlation coefficient. Defect size, mass of gracilis muscle resected and surgical outcomes were also evaluated.There was a moderate correlation between the mass of the gracilis muscle and patient height (r=0.4), weight (r=0.4), and BMI (r=0.3

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2018 In Vivo

7. Development of growth equations from longitudinal studies of body weight and height in the full term and preterm neonate: From birth to four years postnatal age (PubMed)

Development of growth equations from longitudinal studies of body weight and height in the full term and preterm neonate: From birth to four years postnatal age Physiologically based pharmacokinetic (PBPK) models are developed from compound-independent information to describe important anatomical and physiological characteristics of an individual or population of interest. Modeling pediatric populations is challenging because of the rapid changes that occur during growth, particularly (...) in the first few weeks and months after birth. Neonates who are born premature pose several unique challenges in PBPK model development. To provide appropriate descriptions for body weight (BW) and height (Ht) for age and appropriate incremental gains in PBPK models of the developing preterm and full term neonate, anthropometric measurements collected longitudinally from 1,063 preterm and 158 full term neonates were combined with 2,872 cross-sectional measurements obtained from the NHANES 2007-2010 survey

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2018 Birth Defects Research

8. Prevalence of age-specific and sex-specific overweight and obesity in Ontario and Quebec, Canada: a cross-sectional study using direct measures of height and weight. (PubMed)

Prevalence of age-specific and sex-specific overweight and obesity in Ontario and Quebec, Canada: a cross-sectional study using direct measures of height and weight. To evaluate whether combining three cycles of the Canadian Health Measures Survey (CHMS) produces provincially representative and valid estimates of overweight and obesity in Ontario and Quebec.An ongoing, nationally representative health survey in Canada, with data released every 2 years. Objective measures of height and weight (...) were taken at mobile examination centres located within 100 km of participants' residences. To increase sample size, we combined three cycles completed during 2007-2013.5740 Ontario residents and 3980 Quebec residents aged 6-79, with birth dates and directly measured height and weight recorded in the CHMS. Pregnant females were excluded. Sociodemographic characteristics of the Ontario and Quebec portions of the CHMS appeared similar to characteristics from the 2006 Canada Census.Objectively

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2018 BMJ open

9. Comparison of midupper arm circumference and weight-for-height <i>z</i> score for assessing acute malnutrition in Bangladeshi children aged 6-60 mo: an analytical study. (PubMed)

Comparison of midupper arm circumference and weight-for-height z score for assessing acute malnutrition in Bangladeshi children aged 6-60 mo: an analytical study. Background: In clinical settings, wasting in childhood has primarily been assessed with the use of a weight-for-height z score (WHZ), and in community settings, it has been assessed via the midupper arm circumference (MUAC) with a cutoff <115 mm for severe wasting and <115-125 mm for moderate wasting. Our recent experience (...) to indicate the most appropriate choice for cutoffs that related MUAC with WHZ.Results: The mean ± SD age for the entire group was 21 ± 14 mo, WHZ was -1.18 ± 1.23, height-for-age z score was -1.63 ± 1.39, MUAC was 136 ± 14 mm, and 45% of subjects were girls. MUAC correlated with the WHZ (r: 0.618, P < 0.001). Age-stratified analyses revealed that, for ages 6-24 mo, MUAC cutoffs were <120 mm for a WHZ <-3 and <125 mm for a WHZ <-2 with a sensitivity of 72.9% and 63.2%, respectively, and a specificity

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2017 American Journal of Clinical Nutrition

10. The Relative Age Effect, Height and Weight Characteristics among Lower and Upper Secondary School Athletes in Norway and Sweden (PubMed)

The Relative Age Effect, Height and Weight Characteristics among Lower and Upper Secondary School Athletes in Norway and Sweden The relative age effect (RAE) has been found among youth elite athletes within a range of sports. However, the RAE has been studied to a lesser degree among youth non-elite athletes, and even less among school pupils attending sport specialisation programmes (SSPs). The aim of the present study was to investigate RAE, height, and weight, and compare Swedish lower (...) secondary school and Norwegian upper secondary school pupils. Study 1 includes 156 lower secondary school athletes (95 boys and 61 girls) following an SSP in Sweden, while study 2 includes 111 upper secondary school athletes (81 boys and 30 girls) from two Norwegian schools. The RAE was found in both male groups, but only in Swedish girls. Furthermore, the relationship between birth month, height, and weight was found to be non-significant. These results indicate a vital RAE effect among youth non-elite

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2017 Sports

11. Socioeconomic inequalities in childhood and adolescent body-mass index, weight, and height from 1953 to 2015: an analysis of four longitudinal, observational, British birth cohort studies (PubMed)

/m2) was derived in each study from measured weight and height. Childhood socioeconomic position was indicated by the father's occupational social class, measured at the ages of 10-11 years. We examined associations between childhood socioeconomic position and anthropometric outcomes at age 7 years, 11 years, and 15 years to assess socioeconomic inequalities in each cohort using gender-adjusted linear regression models. We also used multilevel models to examine whether these inequalities widened (...) Socioeconomic inequalities in childhood and adolescent body-mass index, weight, and height from 1953 to 2015: an analysis of four longitudinal, observational, British birth cohort studies Socioeconomic inequalities in childhood body-mass index (BMI) have been documented in high-income countries; however, uncertainty exists with regard to how they have changed over time, how inequalities in the composite parts (ie, weight and height) of BMI have changed, and whether inequalities differ

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2018 The Lancet. Public health

12. The bidirectional relationship between weight, height and dental caries among preschool children in China. (PubMed)

. Sociodemographic and behaviour data were also collected. At follow-up, 772 children were included (attrition rate: 30%), dental caries and anthropometric measures were assessed again. Z-score for weight-for-age and height-for-age were calculated using the 2006 and 2007 WHO Child Growth Standards. The sum of decayed, missing and filled primary teeth (dmft) were used in the analysis. Multilevel analysis for longitudinal data was conducted to explore the relationship between z-score for weight-for-age and height (...) -for-age, and dental caries among children. The median follow-up time was 10.12 months. There was a significant negative association between dmft at baseline and change in height-for-age. On the other hand, weight-for-age at baseline was negatively associated with change in dmft at follow-up. The findings suggest that dental caries impedes children's growth indicated by height for age. Low weight children appear to be more susceptible to dental caries in the same population.

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2019 PLoS ONE

13. Comparison of height and weight after 12 vs. 18 Gy cranial radiation therapy in pediatric acute lymphoblastic leukemia (ALL) patients (PubMed)

Comparison of height and weight after 12 vs. 18 Gy cranial radiation therapy in pediatric acute lymphoblastic leukemia (ALL) patients To compare the effect of 12 versus 18 Gy cranial radiation therapy (RT) on height and weight indices among pediatric patients with acute lymphoblastic leukemia (ALL).Records of children with ALL who were 2 to 14 years old at the time of RT and were treated at a single institution between 2000 and 2011 were reviewed. Patients' height, weight, and body mass index (...) the first 3 years of follow-up. This did not appear to be sex-specific, and there was no difference in change in weight or body mass index.Compared with 18 Gy, patients with ALL who received 12 Gy of cranial RT had less height impairment in the first 3 years post-RT, but further prospective studies are needed.

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2017 Advances in radiation oncology

14. Correlation of Internal Organ Weights with Body Weight and Body Height in Normal Adult Zambians: A Case Study of Ndola Teaching Hospital (PubMed)

Correlation of Internal Organ Weights with Body Weight and Body Height in Normal Adult Zambians: A Case Study of Ndola Teaching Hospital The objective of the research was to study the correlation of internal organ weights with body weight and length in normal adult Zambians. The study involved 114 (83 males and 31 females) forensic autopsies from Ndola Teaching Hospital done over a period of 12 months. The cases included autopsies of unnatural deaths including road traffic accidents (...) and homicide. Cases where information about age and origin of the person was not available were left out of the study. The age of the decedents ranged from 16 to 85 years. The data was analyzed by Pearson correlation coefficient to determine correlation. P values less than 0.05 were considered to be statistically significant. It was observed that the heart, liver, left kidney, right kidney, brain, and left lung were positively correlated to body weight, while only the brain and the left lung were

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2018 Anatomy research international

15. Examining validity of body mass index calculated using height and weight data from the US driver license. (PubMed)

as body mass index (BMI) values calculated using the two data sources for the same individual.We linked individual height and weight records obtained from the Driver License Division (DLD) in the Utah Department of Public Safety to clinical records from one of the largest healthcare providers in the state of Utah. We then calculated average differences between height, weight and BMI values separately for women and men in the sample, as well as discrepancies between the two sets of measures by age (...) . The discrepancy varies by age and by BMI category. Despite the discrepancy, BMI based on self-reported height and weight allows for accurate categorization of individuals at the higher end of the BMI scale, such as the obese. When used as predictors of relative risk of type II diabetes, both sets of BMI values yield similar risk estimates.Data on height and weight from driver license data can be a useful asset for monitoring population health in states where such information is collected, despite the degree

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2019 BMC Public Health

16. Weight and Height in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Longitudinal Database Study Assessing the Impact of Guanfacine, Stimulants, and No Pharmacotherapy. (PubMed)

from U.S. Department of Defense medical records for patients 4-17 years of age at index date (initiation of any study medication following a year without ADHD medications, or diagnosis if unmedicated) with weight/height measurements for the analysis period (January 2009-June 2013) and the previous year (baseline). Longitudinal weight and height z-scores were analyzed using multivariable regression in three cohorts: guanfacine (initial period of guanfacine exposure), first-line stimulant monotherapy (...) Weight and Height in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Longitudinal Database Study Assessing the Impact of Guanfacine, Stimulants, and No Pharmacotherapy. Objectives: To assess the impact of long-term pharmacotherapy with guanfacine immediate- or extended-release (GXR), administered alone or as an adjunctive to a stimulant, on weight and height in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Methods: Data were extracted

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2019 Journal of Child and Adolescent Psychopharmacology

17. Age-related reference curves of volumetric bone density, structure, and biomechanical parameters adjusted for weight and height in a population of healthy women: an HR-pQCT study. (PubMed)

Age-related reference curves of volumetric bone density, structure, and biomechanical parameters adjusted for weight and height in a population of healthy women: an HR-pQCT study. In a cross-sectional cohort of 450 healthy women aged 20 to 85 years, data on the density, structure, and strength of the distal radius and tibia were obtained using high-resolution peripheral quantitative computed tomography (HR-pQCT) and were adjusted for age, weight, and height. Age-dependent patterns of change (...) differed between the sites and between the trabecular and cortical compartments. In postmenopausal women, the trabecular bone remained relatively stable at the distal tibia, but the cortical compartment changed significantly. Cortical porosity exhibited a very weak correlation with stiffness.The aim of this study is to provide information on age-related, weight-related, and height-related changes in the volumetric bone mineral density (vBMD), structure, and biomechanical parameters of the cortical

2016 Osteoporosis International

18. The height-, weight- and BMI-for-age of preschool children from Nizhny Novgorod city, Russia, relative to the international growth references. (PubMed)

The height-, weight- and BMI-for-age of preschool children from Nizhny Novgorod city, Russia, relative to the international growth references. Monitoring a child's growth status helps to diagnose diseases and implement curative and preventive measures. The aim of this study was to assess how well preschool children of Russian city (Nizhny Novgorod) match with, or diverge from, international growth charts (WHO2006,2007; USCDC2000).Cross-sectional study included 3,130 children aged 3-7 years (...) %) was slightly higher than that under USCDC2000 reference (2-3%). Preschoolers' distribution by groups of normal weight, overweight, obesity didn't significantly differ among the references (chi-square).The growth assessment of children aged 3-7 years attending municipal preschools of the Russian city Nizhny Novgorod under the international references (WHO2006,2007; USCDC 2000), demonstrated that the height fit to the WHO2006 standard for the children aged 3 and 4 was generally fine, since all the mean

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2016 BMC Public Health

19. Adolescent weight and height are predictors of specific non-Hodgkin lymphoma subtypes among a cohort of 2,352,988 individuals aged 16 to 19 years. (PubMed)

Adolescent weight and height are predictors of specific non-Hodgkin lymphoma subtypes among a cohort of 2,352,988 individuals aged 16 to 19 years. The age-adjusted annual incidence of non-Hodgkin lymphoma (NHL) has risen worldwide. This trend may be affected by the secular increase in height and the sharp upswing in adolescent overweight; these drive increased insulinlike growth factor 1 and chronic inflammation, which may play an etiologic role. This study examined the association of the body (...) mass index (BMI) and height of adolescents with NHL subtypes, which have been insufficiently evaluated.Health-related data on 2,352,988 Israeli adolescents, aged 16 to 19 years, who were examined between 1967 and 2011 were linked to the Israel National Cancer Registry to derive the NHL incidence up to December 31, 2012 (4021 cases). Cox proportional hazards modeling was used to estimate the multivariate-adjusted hazard ratio (HR) for NHL subtypes associated with the BMI and height

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2016 Cancer

20. Weight for Height Age

Weight for Height Age Weight for Height Age Toggle navigation Brain Head & Neck Chest Endocrine Abdomen Musculoskeletal Skin Infectious Disease Hematology & Oncology Cohorts Diagnostics Emergency Findings Procedures Prevention & Management Pharmacy Resuscitation Trauma Emergency Procedures Ultrasound Cardiovascular Emergencies Lung Emergencies Infectious Disease Pediatrics Neurologic Emergencies Skin Exposure Miscellaneous Abuse Cancer Administration 4 Weight for Height Age Weight for Height (...) Age Aka: Weight for Height Age II. Indication III. Definition Assesses percent of target weight based on age and length IV. Calculation Step 1: Define height age Determine age when 50% children reach patient's height Step 2: Define target weight Locate 50th percentile Weight for Height Age (Step 1) Step 3: Calculate Weight for Height Age Calculation = (Actual weight)/(Target weight) x 100 V. Interpretation Normal Weight for Height Age: 80-120% of target weight Endocrine disease will also have

2018 FP Notebook

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