scholarly journals Body composition and markers of cardiometabolic health in transgender youth compared to cisgender youth: a cross-sectional study

2019 ◽  
Author(s):  
Natalie J Nokoff ◽  
Sharon L Scarbro ◽  
Kerrie L Moreau ◽  
Philip Zeitler ◽  
Kristen J Nadeau ◽  
...  

AbstractContextUp to 1.8% of adolescents identify as transgender and many more seek care, yet the impact of gender affirming hormone therapy (GAHT) on cardiometabolic health is unknown.ObjectiveTo determine insulin sensitivity and body composition among transgender females (TF) and males (TM) on estradiol or testosterone, compared to cisgender females (CF) and males (CM).DesignPilot, cross-sectional study conducted from 2016-2018.Setting. Academic regional transgender referral center.ParticipantsTransgender adolescents on either testosterone or estradiol for at least 3 months were recruited. Nineteen TM were matched to 19 CM and 42 CF on pubertal stage and body mass index (BMI). Eleven TF were matched to 23 CF and 13 TF to 24 CM on age and BMI.Main Outcome Measure(s)1/[fasting insulin] and body composition (dual-energy absorptiometry, DXA).ResultsTotal body fat was lower in TM than CF (29±7 vs. 33±7%, p=0.002) and higher than CM (28±7 vs. 24±9%, p=0.047). TM had higher lean mass than CF (68±7 vs. 64±7%, p=0.002) and lower than CM (69± vs. 73±8%, p=0.029). Insulin sensitivity was not different between the groups.TF had lower body fat than CF (31±7 vs. 35±8%, p=0.033) and higher than CM (28±6 vs. 20±10, p=0.001). TF had higher lean mass than CF (66±6 vs. 62±7%, p=0.032) and lower than CM (69±5 vs. 77±9%, p=0.001). TF were more insulin resistant than CM (0.078±0.025 vs. 0.142±0.064, p=0.011).ConclusionsTransgender adolescents on GAHT have significant differences in body composition compared to cisgender controls, with a body composition intermediate between BMI-matched cisgender males and females. These changes in body composition may have consequences for the cardiometabolic health of transgender adolescents.PrecisTransgender youth on gender affirming hormone therapy have differences in their percent fat and lean mass compared to cisgender (non-transgender) youth.

2019 ◽  
Vol 105 (3) ◽  
pp. e704-e714 ◽  
Author(s):  
Natalie J Nokoff ◽  
Sharon L Scarbro ◽  
Kerrie L Moreau ◽  
Philip Zeitler ◽  
Kristen J Nadeau ◽  
...  

Abstract Context As many as 1.8% of adolescents identify as transgender and many more seek care, yet the impact of gender-affirming hormone therapy (GAHT) on cardiometabolic health is unknown. Objective To determine insulin sensitivity and body composition among transgender females (TF) and males (TM) on estradiol or testosterone, compared with cisgender females (CF) and males (CM). Design Pilot, cross-sectional study conducted from 2016–2018. Setting Academic regional transgender referral center. Participants Transgender adolescents on either testosterone or estradiol for at least 3 months were recruited. Nineteen TM were matched to 19 CM and 42 CF on pubertal stage and body mass index (BMI). Eleven TF were matched to 23 CF and 13 TF to 24 CM on age and BMI. Main Outcome Measures 1/[fasting insulin] and body composition (dual-energy x-ray absorptiometry). Results Total body fat was lower in TM than CF mean ± SD: (29% ± 7% vs 33% ± 7%; P = 0.002) and higher than in CM (28% ± 7% vs 24% ± 9%; P = 0.047). TM had higher lean mass than CF (68% ± 7% vs 64% ± 7%, P = 0.002) and lower than CM (69% ± 7% vs 73% ± 8%; P = 0.029). Insulin sensitivity was not different between the groups. TF had lower body fat than CF (31% ± 7% vs 35% ± 8%; P = 0.033) and higher than CM (28% ± 6% vs 20% ± 10%; P = 0.001). TF had higher lean mass than CF (66% ± 6% vs 62% ± 7%; P = 0.032) and lower than CM (69% ± 5% vs 77% ± 9%; P = 0.001). TF were more insulin resistant than CM (0.078 ± 0.025 vs 0.142 ± 0.064 mL/μU; P = 0.011). Conclusions Transgender adolescents on GAHT have significant differences in body composition compared with cisgender controls, with a body composition intermediate between BMI-matched CMs and CFs. These changes in body composition may have consequences for the cardiometabolic health of transgender adolescents. ClinicalTrials.gov NCT02550431


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A788-A788
Author(s):  
Leonardo A M Alvares ◽  
Lívia M Santos ◽  
Marcelo R Santos ◽  
Francis R Souza ◽  
Victor P Almeida ◽  
...  

Abstract Introduction: Few studies of transgender women (TW) body composition (BC) in long-term gender-affirming hormone therapy (GAHT) have been reported. Objective: To evaluate BC parameters of TW in long-term GAHT. Methods: A cross-sectional study was carried out with 8 TW (average age of 34.0 yo ±4.8), 8 cisgender men (CM) and 8 cisgender women (CW) matched to age and body mass index (BMI). All TW were non-gonadectomized subjects and were in estrogen [(E); transdermal estradiol (n=2), oral estradiol (n=3) and conjugated estrogen (n=3)], plus cyproterone acetate (CA) (n=8) therapy in an average time of 15.6 ±8.7 years of treatment. Total testosterone (ng/dL) levels of TW, CW and CM were 83,5 (range 12,0-637,0), 20,5 (range 12,0-41,0) and 480,5 (range 264,0-843,0) at the time of the study, respectively. BC was assessed by InBody 720. Percentage of fat mass (%FM), skeletal muscle mass (SMM) were evaluated. Baumgartner Index was calculated. Results: Regards %FM, that of TW was lower than CW (29,59 ±7,56 vs 32,9 ±3,99; p=0,5394) and higher than CM (23,58 ± 6,44; p=0.1512). SMM of TW was 33.6% higher than that of CW (p<0.001) and 14,7% lower than that of CM (p=0,014). Baumgartner Index of CM group was 17.7% higher than TW group (p=0,001), which presented rates 20.3% higher than the CW (0,002). Discussion: BC changes in the first two years of GAHT in TW were consistent with loss of lean mass and gained fat mass associated with an increase of body weight. This profile was identified in adults and youth transgender after short-term hormone therapy. Conclusion: Our data shown a similar profile of short-term treatment, with a body composition intermediate between BMI-matched cisgender males and females. However, unlike young TW undergoing short-term GAHT, the parameters of BC in the TW using estrogens plus cyproterone acetate in the long term did not present %FM statistically different from CW and CM, in contrast to the lean mass that maintained significant differences in the long term.


2012 ◽  
Vol 16 (11) ◽  
pp. 2005-2013 ◽  
Author(s):  
Eva Craig ◽  
John Reilly ◽  
Ruth Bland

AbstractObjectiveA variety of methods are available for defining undernutrition (thinness/underweight/under-fat) and overnutrition (overweight/obesity/over-fat). The extent to which these definitions agree is unclear. The present cross-sectional study aimed to assess agreement between widely used methods of assessing nutritional status in children and adolescents, and to examine the benefit of body composition estimates.DesignThe main objective of the cross-sectional study was to assess underweight, overweight and obesity using four methods: (i) BMI-for-age using WHO (2007) reference data; (ii) BMI-for-age using Cole et al. and International Obesity Taskforce cut-offs; (iii) weight-for-age using the National Centre for Health Statistics/WHO growth reference 1977; and (iv) body fat percentage estimated by bio-impedance (body fat reference curves for children of McCarthy et al., 2006). Comparisons were made between methods using weighted kappa analyses.SettingRural South Africa.SubjectsIndividuals (n 1519) in three age groups (school grade 1, mean age 7 years; grade 5, mean age 11 years; grade 9, mean age 15 years).ResultsIn boys, prevalence of unhealthy weight status (both under- and overnutrition) was much higher at all ages with body fatness measures than with simple anthropometric proxies for body fatness; agreement between fatness and weight-based measures was fair or slight using Landis and Koch categories. In girls, prevalence of unhealthy weight status was also higher with body fatness than with proxies, although agreement between measures ranged from fair to substantial.ConclusionsMethods for defining under- and overnutrition should not be considered equivalent. Weight-based measures provide highly conservative estimates of unhealthy weight status, possibly more conservative in boys. Simple body composition measures may be more informative than anthropometry for nutritional surveillance of children and adolescents.


BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e032268
Author(s):  
Zeyu Xiao ◽  
Zhiqiang Tan ◽  
Jingjie Shang ◽  
Yong Cheng ◽  
Yongjin Tang ◽  
...  

ObjectivesThis study was an attempt to investigate the variation trend of body composition with ageing and explore the association between regional body composition and bone mineral density (BMD).DesignCross-sectional study.Setting and participantsA total of 5749 healthy adults aged 20–95 years was recruited from 2004 to 2017.Primary outcome measuresWhole-body lean mass (LM), fat mass (FM), android FM, gynoid FM, appendicular lean mass (ALM) and BMD in the lumbar spine, femoral neck and total hip were obtained by dual-energy X-ray absorptiometry (DXA). The android/gynoid fat mass ratio (A/G FMR) based on DXA scan was calculated as an indicator of adipose distribution. Pearson correlation and multiple linear regression analyses were used to determine the associations between body composition, adipose distribution, and BMD of each skeletal site.ResultsWhole-body FM, percentage of whole-body FM, Android FM and A/G FMR consistently increased with age in both genders, especially in women, and ALM began to decrease in the fifth decade for both men and women. In multivariable linear regression models with age, body mass index, A/G FMR and ALM as predictor variables, ALM was associated with the most BMD variance of all skeletal sites in men (standard β ranged from 0.207 to 0.405, p<0.001), although not the largest but still a positive predictor of BMD in women (standard β ranged from 0.074 to 0.186, p<0.05). A/G FMR was an inverse predictor of BMD at all skeletal sites for women (standard β ranged from −249 to −0.052, p<0.01) but not in men.ConclusionsIn this large cohort of Chinese adults, ALM had a strong positive association with BMD in both genders. A/G FMR as an indicator of central adipose accumulation was inversely associated with BMD in women but not in men.


Author(s):  
Geeta Yadav ◽  
Suman Bodat ◽  
Ishaan Siwach ◽  
Karan Sachdeva ◽  
Nitesh Chuahan

Background: Physical inactivity and overweight are leading risk factors for global mortality, responsible for 6% and 5% of deaths worldwide due to chronic non communicable diseases. It is well established that regular moderate or vigorous-intensity exercise lowers the risks and symptoms associated with the co-morbidities of obesity. The stress involved in meeting responsibilities of becoming a physician may adversely affect the exercise habits of students. So, the current study aimed to study physical activity and its relation with body composition among under-graduate medical students.Methods: It was a cross-sectional study among 282 medical students. International Physical Activity Questionnaire (IPAQ) Short form was used to measure total physical activity (PA) and body composition parameters including Waist circumference, WHR, BMI, Body Fat% were assessed and analyzed using SPSS version 21.Results: Out of 282 medical students 33%, 45.3%, &21.3% were involved in low, moderate and high physical activity. ANOVAs between different levels of physical activities according to IPAQ categories showed significant difference for Waist Hip Ratio (F:3.8; p=0.02) and Body Fat percentage (F=5.7; p=0.00). There was an inverse and statistically significant correlation between physical activity and Waist circumference, Body Fat% and Waist –Hip Ratio.Conclusions: Medical Students involved in higher level of physical activity have significantly lower body Fat% level and WHR as compared to those belonging to lower and moderate activity group thus there is a need to actively promote physical activity among medical students.


Author(s):  
Agnieszka Kozioł-Kozakowska ◽  
Beata Piórecka ◽  
Agnieszka Suder ◽  
Paweł Jagielski

Background: Little is known on the relationship between obesity and hydration level in children. To explore the possible association between children’s hydration status and body composition, we conducted this cross-sectional study. Methods: The survey was carried out in 2018 in Preliminary and High Schools from the Malopolska Province, Poland. The study group consisted of 264 children aged 7–15 years. The level of hydration was assessed based on urine osmolality during a school day. The examined had anthropometric tests and body composition assessment (FM, BF%, FFM, TBW, TBW%). Odds ratio (OR) and 95% confidence interval (CI) were calculated using a logistic regression analysis. Results: In the study group, 9.5% of the examined were overweight, 7.2% obese, and it referred more to the country than towns (p < 0.05). Improper hydration was found in 53% of children, and 16.3% of them were severely dehydrated during a school day (urine osmolality > 1000 mOsm/kgH2O). The level of dehydration was higher in children with excessive body fat (BF%) than in children with normal BF% [903.00 vs. 775 mOsm/kgH2O]. Older age (>10 y) showed inverse association with dehydration [OR 0.52 (95% CI; 0.28–0.99)] and excessed BF% showed 2.3-fold increase in odds of dehydration during a school day [OR 2.39 (95% CI; 1.15–4.94)]. Improper hydration was a risk factor of difficulties with concentration declared by students during a school day OR 2.85 (95% CI; 1.16–6.99). Conclusions: Attention should be paid to appropriate hydration especially in children with excessive body fat content who feature a higher risk of dehydration and fluid demand.


2019 ◽  
Vol 7 ◽  
pp. 205031211986512 ◽  
Author(s):  
Mariana GF Duarte ◽  
Paulo O Duarte ◽  
Anderson Pelichek ◽  
Eduardo Ferriolli ◽  
Julio C Moriguti ◽  
...  

Objectives: The aim of this study was to evaluate the most commonly used body composition tools in clinical practice, such as anthropometry and electrical bioimpedance, and compare it with deuterium oxide. Methods: An exploratory cross-sectional study was conducted on women aged 100 years or above at home. Body composition was determined by measuring skinfolds (Jackson and Pollock and Durnin and Womersley equations), by bioimpedance, and by the deuterium oxide method. Results: Body mass index values were lower than 22 kg/m2 in 64% of the subjects. When the various methods used were compared with deuterium oxide, there was better agreement for the determination of fat mass than lean mass. For fat mass, agreement was better when using bioimpedance (Lin’s coefficient = 0.70), whereas for lean mass, agreement was better using the Durnin and Womersley equation (Lin’s coefficient = 0.51). Conclusion: It is possible to use bioimpedance and skinfolds to evaluate fat mass and lean mass, respectively, in centenarians.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  

Abstract Background Exposure to perfluoroalkyl substances (PFASs) has been associated with changes in body mass index and adiposity, but evidence is inconsistent as study design, population age, follow-up periods and exposure levels vary between studies. We investigated associations between PFAS exposure and body fat in a cross-sectional study of healthy boys. Methods In 109 boys (10–14 years old), magnetic resonance imaging and dual-energy X-ray absorptiometry were performed to evaluate abdominal, visceral fat, total body, android, gynoid, android/gynoid ratio, and total fat percentage standard deviation score. Serum was analysed for perfluorooctanoic acid, perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid, and perfluorodecanoic acid using liquid chromatography and triple quadrupole mass spectrometry. Data were analysed by multivariate linear regression. Results Serum concentrations of PFASs were low. Generally, no clear associations between PFAS exposure and body fat measures were found; however, PFOS was negatively associated with abdominal fat (β = -0.18, P = 0.046), android fat (β = -0.34, P = 0.022), android/gynoid ratio (β = -0.21, P = 0.004), as well as total body fat (β = -0.21, P = 0.079) when adjusting for Tanner stage. Conclusions Overall, we found no consistent associations between PFAS exposure and body fat. This could be due to our cross-sectional study design. Furthermore, we assessed PFAS exposure in adolescence and not in utero, which is considered a more vulnerable time window of exposure.


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