Body composition in psychotic disorders: a general population survey

BackgroundThe literature suggests an association between obesity and schizophrenia but fat mass and fat-free mass, which have been shown to be more predictive of all-cause mortality than only waist circumference and obesity [body mass index (BMI) ⩾30 kg/m2], have not been reported in psychotic disorders. We examined the detailed body composition of people with different psychotic disorders in a large population-based sample.MethodWe used a nationally representative sample of 8082 adult Finns aged ⩾30 years with measured anthropometrics (height, weight, waist circumference, fat percentage, fat-free mass and segmental muscle mass). Psychiatric diagnoses were based on a consensus procedure utilizing the Structured Clinical Interview for DSM-IV (SCID)-interview, case-notes and comprehensive register data.ResultsSchizophrenia (including schizo-affective disorder) was associated with obesity [odds ratio (OR) 2.3, 95% confidence interval (CI) 1.5–3.6], abdominal obesity (waist circumference ⩾88 cm for women, ⩾102 cm for men) (OR 2.2, 95% CI 1.3–3.6) and with higher fat percentage (mean difference 3.8%, 95% CI 2.0–5.7%), adjusted for age and gender, than in the remaining sample. The associations between schizophrenia and low fat-free mass and decreased muscle mass on trunk and upper limbs became statistically significant after adjusting for BMI. After further adjusting for current antipsychotic medication, education, diet and smoking, schizophrenia remained associated with obesity (OR 1.9, 95% CI 1.1–3.6) and abdominal obesity (OR 3.8, 95% CI 1.5–9.4). Participants with affective psychoses did not differ from the general population.ConclusionsIndividuals with schizophrenia have metabolically unfavorable body composition, comprising abdominal obesity, high fat percentage and low muscle mass. This leads to increased risk of metabolic and cardiovascular diseases.

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The effect of liver enzymes on body composition: a Mendelian randomization study

10.1101/732685 ◽

2019 ◽

Author(s):

Jun Xi Liu ◽

Shiu Lun Au Yeung ◽

Man Ki Kwok ◽

June Yue Yan Leung ◽

Lai Ling Hui ◽

...

Keyword(s):

Body Composition ◽

Liver Function ◽

Muscle Mass ◽

Fat Mass ◽

Liver Enzymes ◽

Mendelian Randomization ◽

Positive Association ◽

Fat Free Mass ◽

Fat Percentage ◽

The Uk

AbstractBackgroundHigher alanine transaminase (ALT) is positively associated with diabetes but inversely associated with body mass index (BMI) in Mendelian randomization (MR) studies, suggesting liver function may affect body composition. To clarify, we assessed the association of liver function with muscle and fat mass observationally with two-sample MR as a validation.MethodsIn the population-representative “Children of 1997” birth cohort, we used multivariable linear regression to assess the adjusted associations of ALT and alkaline phosphatase (ALP) (IU/L) at ~17.5 years with muscle mass (kg) and body fat percentage (%). Genetic variants predicting ALT, ALP and gamma glutamyltransferase (GGT) (100% change in concentration) were applied to fat-free and fat mass (kg) in the UK Biobank (n=~331,000) to obtain unconfounded estimates using MR.ResultsObservationally, ALT was positively associated with muscle mass (0.11, 95% confidence interval (CI) 0.10 to 0.12) and fat percentage (0.15, 95% CI 0.13 to 0.17). ALP was inversely associated with muscle mass (−0.03, 95% CI −0.04 to −0.02) and fat percentage (−0.02, 95% CI −0.03 to −0.01). Using MR, ALT was inversely associated with fat-free mass (−0.41, 95% CI −0.64 to −0.19) and fat mass (−0.58, 95% CI −0.85 to −0.30). ALP was not clearly associated with body composition. GGT was positively associated with fat-free (0.30, 95% CI 0.01 to 0.06) and fat mass (0.41, 95% CI 0.10 to 0.71).ConclusionALT reducing fat-free mass provides a possible pathway for the positive association of ALT with diabetes, and suggests a potential target of intervention.

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The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology

Nutrients ◽

10.3390/nu13082493 ◽

2021 ◽

Vol 13 (8) ◽

pp. 2493

Author(s):

Clifton J. Holmes ◽

Susan B. Racette

Keyword(s):

Body Composition ◽

Muscle Mass ◽

Fat Mass ◽

Disease Risk ◽

Natural Increase ◽

Fat Free Mass ◽

Dietary Interventions ◽

Fat Percentage ◽

Mineral Density ◽

Body Composition Assessment

Body composition is a key component for maintaining good general health and longevity. It can be influenced by a variety of factors, including genetics, environment, and lifestyle choices. The assessment of body composition is an essential tool for nutrition specialists to effectively evaluate nutritional status and monitor progression during dietary interventions. As humans age, there is a natural increase in fat mass coupled with a gradual decline in lean mass, specifically in bone and muscle mass. Individuals with a high body fat percentage are at a greater risk of cardiovascular diseases, type 2 diabetes, several types of cancer, and early mortality. Significant decreases in bone mineral density signify osteopenia and osteoporosis, while reductions in skeletal muscle mass increase the risk of developing sarcopenia. Moreover, undernutrition exacerbates the effects of many medical conditions and is important to address. Though weight tracking and calculation of BMI are used commonly by clinicians and dietitians, these measures do not provide insight on the relative contributions of fat mass and fat-free mass or the changes in these compartments that may reflect disease risk. Therefore, it is important that healthcare professionals have a critical understanding of body composition assessment and the strengths and limitations of the methods available.

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The Effects of Compliance with Nutritional Counselling on Body Composition Parameters in Head and Neck Cancer Patients under Radiotherapy

Journal of Nutrition and Metabolism ◽

10.1155/2017/8631945 ◽

2017 ◽

Vol 2017 ◽

pp. 1-7 ◽

Cited By ~ 17

Author(s):

D. Hopanci Bicakli ◽

O. Ozkaya Akagunduz ◽

R. Meseri Dalak ◽

M. Esassolak ◽

R. Uslu ◽

...

Keyword(s):

Body Composition ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Fat Free Mass ◽

Fat Percentage ◽

Nutritional Counselling ◽

Increased Risk ◽

Over Time

Background. Radiotherapy (RT) has been associated with increased risk of malnutrition in cancer patients, particularly in those with head and neck cancer (HNC). The aim of this prospective study was to evaluate the effects of compliance of patients with individual dietary counselling on body composition parameters in HNC patients under RT. Material and Methods. Sixty-nine consecutive patients (mean age: 61.0±13.8) were prospectively followed. Bioelectrical impedance analysis (BIA) was performed to determine body composition parameters before, in the middle of, and at the end of RT. All patients received nutritional counselling and majority of them (94.6%) received oral nutritional supplement (ONS) during RT or chemoradiotherapy. If a patient consumed ≥75% of the recommended energy and protein intake via ONS and regular food, he/she was considered to be “compliant” (n=18), while those who failed to meet this criteria were considered to be “noncompliant” (n=30). Results. Body mass index, weight, fat percentage, fat mass, fat free mass, and muscle mass did not decrease significantly over time in compliant patients, but in noncompliant patients, all of these indices decreased significantly from baseline compared to the end of treatment (p<0.001). Hand grip strength did not differ significantly between the two groups at baseline and over time in each group. When retrospectively evaluated, heavy mucositis was less commonly observed in compliant than noncompliant patients (11.1% versus 88.9%, resp.) (p<0.009). Conclusion. We conclude that body composition parameters were better in head and neck cancer patients considered as compliant with nutritional counselling than noncompliant ones during RT period.

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Body composition and cardiometabolic health of pediatric patients with X-linked hypophosphatemia (XLH) under burosumab therapy

Therapeutic Advances in Endocrinology and Metabolism ◽

10.1177/20420188211001150 ◽

2021 ◽

Vol 12 ◽

pp. 204201882110011

Author(s):

Avivit Brener ◽

Yael Lebenthal ◽

Roxana Cleper ◽

Livia Kapusta ◽

Leonid Zeitlin

Keyword(s):

Body Composition ◽

Children And Adolescents ◽

Muscle Mass ◽

Pediatric Patients ◽

Real Life ◽

The Body ◽

Fat Free Mass ◽

Laboratory Evaluation ◽

Cardiometabolic Health ◽

Fat Percentage

Background: Burosumab, a recombinant anti-FGF23 monoclonal antibody, was recently introduced as a treatment for X-linked hypophosphatemia (XLH). Burosumab normalizes blood phosphate levels, thereby healing rickets, decreasing leg bowing, and reducing pain. We aimed to explore the body composition and cardiometabolic health of pediatric patients with XLH treated with burosumab. Methods: This observational real-life study was conducted on growing children and adolescents. The outcome measures included changes in sex- and age-adjusted anthropometric and body composition parameters [fat mass (FM), fat-free mass (FFM), appendicular skeletal muscle mass (ASMM), muscle-to-fat ratio (MFR)], blood pressure, laboratory evaluation, and radiographic rickets severity [Thacher Rickets Severity Score (TRSS)]. Body composition was assessed by bioelectrical impedance analysis (BIA). Percentiles for FFM% and ASMM% were calculated according to BIA pediatric reference curves. The delta variable was calculated as the variable at 12 months minus the variable at baseline. Results: A total of 15 pediatric patients with XLH are treated in our clinic; included in the analyses were 7 children and adolescents (3 males, mean age 8.7 ± 3.2 years) with XLH without comorbidities. Baseline BIA revealed an unfavorable physique, with increased body fat percentage in five patients and decreased muscle mass in six. Indices of lean body mass significantly increased after 6 and 12 months of treatment: FFM(kg) ( p = 0.001, p = 0.046, respectively) and ASMM(kg) ( p = 0.012, p = 0.034, respectively), without any significant change in FM(kg). The percentile of ASMM% increased significantly after 6 months of treatment ( p = 0.006) and stabilized thereafter. TRSS improved significantly after 12 months of therapy ( p = 0.005). Age was positively correlated with delta TRSS ( r = 0.814, p = 0.026), and delta TRSS was negatively correlated with delta MFR ( r = −0.826, p = 0.022). Conclusions: There was a heretofore unrecognized improvement in body composition of growing children and adolescents with XLH who were treated with burosumab. These findings highlight the need to initiate burosumab treatment at a younger age when rickets is less severe.

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Low serum TSH levels are associated with low values of fat-free mass and body cell mass in the elderly

Scientific Reports ◽

10.1038/s41598-021-90178-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Till Ittermann ◽

Marcello R. P. Markus ◽

Martin Bahls ◽

Stephan B. Felix ◽

Antje Steveling ◽

...

Keyword(s):

Body Composition ◽

Waist Circumference ◽

Cell Mass ◽

The Elderly ◽

Fat Free Mass ◽

Body Cell Mass ◽

Body Cell ◽

Independent Population ◽

Serum Tsh ◽

Tsh Levels

AbstractPrevious studies on the association between thyroid function and body composition are conflicting and showed strong differences across age groups. Our aim was to clarify age-specific associations of serum thyroid-stimulating hormone (TSH) levels with markers of body composition including body mass index (BMI), waist circumference, fat mass (FM), fat-free mass (FFM) and body cell mass (BCM). We used data from two independent population-based cohorts within the framework of the Study of Health in Pomerania. The study population included 5656 individuals aged 20 to 90 years. Markers of body composition were measured by bioelectrical impedance analysis. Serum TSH levels were significantly positively associated with BMI (β = 0.16; 95% confidence interval [CI]: 0.06 to 0.27), waist circumference (β = 0.35; 95% CI: 0.08 to 0.62) and FM (β = 0.32; 95% CI: 0.12 to 0.52), but not with FFM and BCM. Interaction analysis revealed positive associations of serum TSH levels with BMI, waist circumference, FM, FFM and BCM in individuals older than 60 years, while no such associations were observed in younger individuals. We demonstrated that lower serum TSH levels were accompanied with lower values of BMI, waist circumference, FM, FFM, and BCM in the elderly, while no such associations were observed in younger individuals.

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Body Composition Modifications Due to the “Search, Rescue and Survival Training” in Male Military Firefighter Cadets

Military Medicine ◽

10.1093/milmed/usaa571 ◽

2021 ◽

Author(s):

Thiago Ramos de Barros ◽

Verônica Pinto Salerno ◽

Thalita Ponce ◽

Míriam Raquel Meira Mainenti

Keyword(s):

Body Composition ◽

Body Weight ◽

Repeated Measures ◽

Food Restriction ◽

Physical Exertion ◽

High Energy ◽

The Body ◽

Fat Free Mass ◽

Sleep Restriction ◽

Fat Percentage

ABSTRACT Introduction To train and prepare cadets for a career as firefighters in Rio de Janeiro, the second-year students of the Officers Training Course are submitted to a Search, Rescue, and Survival Training (SRST) course, which is characterized by long periods of high physical exertion and sleep restriction during a 9-day instruction module, and food restriction during a 7-day survival module. The present study investigated changes in the body composition of 39 male cadets submitted to SRST during training and 4 weeks of recovery with no restrictions in food consumption. Materials and Methods Each cadet was evaluated by anthropometric measurements at six time points: pre-SRST; after the first module; after the second module; and after 1, 2, and 4 weeks of recovery. Measurements included body girths and skinfolds, to estimate trunk (chest and waist) and limbs (arm and thigh) dimensions, as well as body composition. Repeated measures ANOVA and Friedman test were applied (depending on each data distribution). Results Statistically significant decreases in body weight (76.2; 69.8-87.2 to 63.9; 58.9-73.5 kg) and fat free mass (FFM, 69.2; 63.7-77.2 to 60.1; 56.2-68.0 kg) were observed following the second module of SRST. Following a single week of recovery, the FFM returned to pre-SRST values. Body weight returned to pre-training levels in 2 weeks. Body fat percentage and mass also significantly decreased during SRST (9.0; 7.7-12.3 to 6.5; 5.1-9.3% and 6.9; 5.6-10.0 to 6.9; 5.6-10.0 kg, respectively), which showed a slower and more gradual recovery that reached pre-SRST values after 4 weeks. The girths of arm, thigh, chest and waist significantly decreased due to SRST. The girths of the limbs (arm and thigh) returned to pre-training values after one month of recovery, while the girths of the trunk (chest and waist) did not return to pre-SRST values during the study period. Conclusions The findings suggest that men who experience periods of high energy demands and sleep restriction followed by a period of food restriction will endure unavoidable physical consequences that can be mostly reversed by a 1-month recovery.

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The Influence of Age, Sex and Body Mass Index on the Effectiveness of Brisk Walking for Obesity Management in Adults: A Systematic Review and Meta-Analysis

Journal of Physical Activity and Health ◽

10.1123/jpah.2016-0064 ◽

2017 ◽

Vol 14 (5) ◽

pp. 389-407 ◽

Cited By ~ 5

Author(s):

Leon Mabire ◽

Ramakrishnan Mani ◽

Lizhou Liu ◽

Hilda Mulligan ◽

David Baxter

Keyword(s):

Body Mass Index ◽

Body Weight ◽

Waist Circumference ◽

Body Fat ◽

Fat Mass ◽

Fat Free Mass ◽

Body Fat Percentage ◽

Brisk Walking ◽

Obesity Management ◽

Fat Percentage

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.

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Body composition in childhood: effects of normal growth and disease

Proceedings of The Nutrition Society ◽

10.1079/pns2003261 ◽

2003 ◽

Vol 62 (2) ◽

pp. 521-528 ◽

Cited By ~ 38

Author(s):

J. C. K. Wells

Keyword(s):

Body Composition ◽

Childhood Obesity ◽

Fat Mass ◽

Lean Mass ◽

Normal Weight ◽

Fat Free Mass ◽

General Interest ◽

Childhood And Adolescence ◽

Adult Disease ◽

Increased Risk

Body composition in children is of increasing interest within the contexts of childhood obesity, clinical management of patients and nutritional programming as a pathway to adult disease. Energy imbalance appears to be common in many disease states; however, body composition is not routinely measured in patients. Traditionally, clinical interest has focused on growth or nutritional status, whereas more recent studies have quantified fat mass and lean mass. The human body changes in proportions and chemical composition during childhood and adolescence. Most of the weight gain comprises lean mass rather than fat. In general, interest has focused on percentage fat, and less attention has been paid to the way in which lean mass varies within and between individuals. In the general population secular trends in BMI have been widely reported, indicating increasing levels of childhood obesity, which have been linked to reduced physical activity. However, lower activity levels may potentially lead not only to increased fatness, but also to reduced lean mass. This issue merits further investigation. Diseases have multiple effects on body composition and may influence fat-free mass and/or fat mass. In some diseases both components change in the same direction, whereas in other diseases, the changes are contradictory and may be concealed by relatively normal weight. Improved techniques are required for clinical evaluations. Both higher fatness and reduced lean mass may represent pathways to an increased risk of adult disease.

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Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2015-0479 ◽

2016 ◽

Vol 41 (6) ◽

pp. 611-617 ◽

Cited By ~ 37

Author(s):

Jameason D. Cameron ◽

Ronald J. Sigal ◽

Glen P. Kenny ◽

Angela S. Alberga ◽

Denis Prud’homme ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Body Weight ◽

Muscle Mass ◽

Energy Intake ◽

Skeletal Muscle Mass ◽

Fat Free Mass ◽

Cross Sectional ◽

Percentage Body Fat ◽

Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

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Adolescent cannabis use, baseline prodromal symptoms and the risk of psychosis

The British Journal of Psychiatry ◽

10.1192/bjp.2017.52 ◽

2018 ◽

Vol 212 (4) ◽

pp. 227-233 ◽

Cited By ~ 21

Author(s):

Antti Mustonen ◽

Solja Niemelä ◽

Tanja Nordström ◽

Graham K. Murray ◽

Pirjo Mäki ◽

...

Keyword(s):

Substance Use ◽

General Population ◽

Birth Cohort ◽

Psychotic Disorders ◽

Temporal Order ◽

Population Based ◽

Cannabis Use ◽

Prodromal Symptoms ◽

Increased Risk ◽

Icd 10

BackgroundThe association between cannabis use and the risk of psychosis has been studied extensively but the temporal order still remains controversial.AimsTo examine the association between cannabis use in adolescence and the risk of psychosis after adjustment for prodromal symptoms and other potential confounders.MethodThe sample (n = 6534) was composed of the prospective general population-based Northern Finland Birth Cohort of 1986. Information on prodromal symptoms of psychosis and cannabis use was collected using questionnaires at age 15–16 years. Participants were followed up for ICD-10 psychotic disorders until age 30 years using nationwide registers.ResultsThe risk of psychosis was elevated in individuals who had tried cannabis five times or more (hazard ratio, (HR) = 6.5, 95% CI 3.0–13.9). The association remained statistically significant even when adjusted for prodromal symptoms, other substance use and parental psychosis (HR = 3.0, 95% CI 1.1–8.0).ConclusionsAdolescent cannabis use is associated with increased risk of psychosis even after adjustment for baseline prodromal symptoms, parental psychosis and other substance use.Declaration of interestNone.

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