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JPMA. the Journal of the Pakistan... Aug 2023In this article, we conceptualize and critique the condition, barometric nervosa, which we define as "an extreme obsession with measuring one's weight and other...
In this article, we conceptualize and critique the condition, barometric nervosa, which we define as "an extreme obsession with measuring one's weight and other anthropometric parameters, leading to ill-health". Barometric nervosa may be related to, but is different from, anorexia nervosa, which is characterized by extremely low body weight, along with either restrictive eating or binge eating, and purging. We suggest that this aspect of psychobarocrinology be addressed as a part of clinical evaluation, and be explored in future research in bariatric medicine.
Topics: Humans; Anthropometry; Thinness
PubMed: 37697778
DOI: 10.47391/JPMA.23-58 -
Journal of Affective Disorders Feb 2024The weight-adjusted-waist index (WWI) serves as an innovative obesity measure, seemingly surpassing body mass index (BMI) and waist circumference (WC) in evaluating lean...
OBJECTIVE
The weight-adjusted-waist index (WWI) serves as an innovative obesity measure, seemingly surpassing body mass index (BMI) and waist circumference (WC) in evaluating lean and fat mass. This study aimed to explore the relationship between WWI and depression in United States (US) adults.
METHODS
This population-based study investigated adults with comprehensive WWI and PHQ-9 (9-item Patient Health Questionnaire) data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. WWI was computed by dividing WC by the square root of body weight. Weighted multivariate logistic regression and smoothed curve fitting were employed to examine linear and non-linear associations. Additionally, subgroup analyses and interaction tests were conducted.
RESULTS
A total of 34,528 participants were enrolled with a prevalence of depression of 7.61 %. WWI was positively related to depression with the full adjustment [odds ratio (OR) = 1.21, 95 % confidence interval (95 % CI): 1.13-1.29]. After converting WWI to a categorical variable by quartiles (Q1-Q4), compared to Q1 the highest WWI quartile was linked to an obviously increased likelihood of depression (OR = 1.51, 95 % CI: 1.29-1.76). Subgroup analysis revealed the stability of the independent positive relationship between WWI and depression (all P for trend >0.05).
CONCLUSION
WWI levels were positively related to an increased likelihood of depression in US adults. Our findings indicated that WWI may serve as a simple anthropometric index to predict depression.
Topics: Adult; Humans; United States; Nutrition Surveys; Obesity; Body Mass Index; Waist Circumference; Anthropometry
PubMed: 38000467
DOI: 10.1016/j.jad.2023.11.073 -
Medicine Dec 2023To assess ocular parameters and their association with anthropometric measurements in Indo-Trinidadians adults. This was a clinical, descriptive, cross-sectional study...
To assess ocular parameters and their association with anthropometric measurements in Indo-Trinidadians adults. This was a clinical, descriptive, cross-sectional study of ocular parameters and anthropometry in adults Trinidadians of South Asian descent (Indo-Trinidadian). Ocular parameters were measured using optical coherence tomography, intraocular lens master biometer, and an autorefractor. Weight, height, and body mass index (BMI) were measured by anthropometry. Univariable and multivariable linear regressions were used to determine the association between demographic variables, anthropometric and ocular parameters. A total of 149 participants (298 eyes) comprising of 90 females (60.6%) and 59 males (39.4%). Aged 18 to 67 participated in the study. Males were taller, heavier, and had longer axial lengths than females which were statistically significant (P < .05). Age was negatively correlated with central corneal thickness (CCT) (r = -0.353, P = .044) and retinal nerve fiber layer thickness (r = -0.348, P = .047) but positively correlated with lens thickness (R = 0.881, P < .001). Education level was positively associated with CCT (R = 0.408, P = .018) but negatively associated with lens thickness (r = -0.521, P = .002). Weight was negatively correlated with corneal topography (r = -0.427, P = .013). Height was negatively correlated with cup-to-disc ratio (r = -0.410, P = .018), CCT (r = -0.382, P = .028), and corneal topography (r = -0.453, P = .008). There was no correlation between BMI, ocular parameters and CCT. There was a significant difference in the ocular parameters between males and females of South Asian descent in Trinidad and Tobago. Weight was negatively associated with the corneal topography. Height was negatively associated with the cup-to-disc ratio, central corneal thickness, and corneal topography. BMI had no statistically significant association with the ocular parameters investigated.
Topics: Adult; Female; Humans; Male; Anthropometry; Caribbean People; Cornea; Cross-Sectional Studies; Intraocular Pressure; Ocular Hypertension; Tomography, Optical Coherence; Adolescent; Young Adult; Middle Aged; Aged
PubMed: 38206703
DOI: 10.1097/MD.0000000000036763 -
PLoS Medicine Aug 2023Observational studies suggest that electrocardiogram (ECG) indices might be influenced by obesity and other anthropometric measures, though it is difficult to infer...
BACKGROUND
Observational studies suggest that electrocardiogram (ECG) indices might be influenced by obesity and other anthropometric measures, though it is difficult to infer causal relationships based on observational data due to risk of residual confounding. We utilized mendelian randomization (MR) to explore causal relevance of multiple anthropometric measures on P-wave duration (PWD), PR interval, QRS duration, and corrected QT interval (QTc).
METHODS AND FINDINGS
Uncorrelated (r2 < 0.001) genome-wide significant (p < 5 × 10-8) single nucleotide polymorphisms (SNPs) were extracted from genome-wide association studies (GWAS) on body mass index (BMI, n = 806,834), waist:hip ratio adjusted for BMI (aWHR, n = 697,734), height (n = 709,594), weight (n = 360,116), fat mass (n = 354,224), and fat-free mass (n = 354,808). Genetic association estimates for the outcomes were extracted from GWAS on PR interval and QRS duration (n = 180,574), PWD (n = 44,456), and QTc (n = 84,630). Data source GWAS studies were performed between 2018 and 2022 in predominantly European ancestry individuals. Inverse-variance weighted MR was used for primary analysis; weighted median MR and MR-Egger were used as sensitivity analyses. Higher genetically predicted BMI was associated with longer PWD (β 5.58; 95%CI [3.66,7.50]; p = < 0.001), as was higher fat mass (β 6.62; 95%CI [4.63,8.62]; p < 0.001), fat-free mass (β 9.16; 95%CI [6.85,11.47]; p < 0.001) height (β 4.23; 95%CI [3.16, 5.31]; p < 0.001), and weight (β 8.08; 95%CI [6.19,9.96]; p < 0.001). Finally, genetically predicted BMI was associated with longer QTc (β 3.53; 95%CI [2.63,4.43]; p < 0.001), driven by both fat mass (β 3.65; 95%CI [2.73,4.57]; p < 0.001) and fat-free mass (β 2.08; 95%CI [0.85,3.31]; p = 0.001). Additionally, genetically predicted height (β 0.98; 95%CI [0.46,1.50]; p < 0.001), weight (β 3.45; 95%CI [2.54,4.36]; p < 0.001), and aWHR (β 1.92; 95%CI [0.87,2.97]; p = < 0.001) were all associated with longer QTc. The key limitation is that due to insufficient power, we were not able to explore whether a single anthropometric measure is the primary driver of the associations observed.
CONCLUSIONS
The results of this study support a causal role of BMI on multiple ECG indices that have previously been associated with atrial and ventricular arrhythmic risk. Importantly, the results identify a role of both fat mass, fat-free mass, and height in this association.
Topics: Humans; Genome-Wide Association Study; Mendelian Randomization Analysis; Anthropometry; Body Mass Index; Electrocardiography
PubMed: 37552661
DOI: 10.1371/journal.pmed.1004275 -
Journal of the International Society of... Dec 2023Reference values of body fat for competitive volleyball players are lacking, making it difficult to interpret measurement results. This review systematically summarized... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Reference values of body fat for competitive volleyball players are lacking, making it difficult to interpret measurement results. This review systematically summarized published data on the relative body fat of volleyball players and calculated potential differences between sex, measurement method, and competitive level.
METHODS
The protocol followed the Preferred Reported Items for Systematic Reviews and Meta-Analysis guidelines. The literature search was conducted using five electronic databases to retrieve all relevant publications from January 1, 2010, to July 1, 2021. The 63 studies including 2607 players that met the inclusion criteria were analyzed using random-effects models. Data were reported as pooled mean body fat with 95% confidence intervals.
RESULTS
Body fat for males and females was 12.8% (11.9-13.8%) and 22.8% (21.9-23.7%), respectively. Body fat was 18.3% (16.3-20.4%) measured via skinfolds, 18.4% (15.6-21.2%) via bioelectrical impedance analysis, 24.2% (20.4-28.0%) via dual-energy x-ray absorptiometry and 21.6% (17.4-25.8%) via densitometry. Regional, national, and international-level players had body fat values of 19.5% (17.8-21.2%), 20.3% (18.6-22.0%), and 17.9% (15.7-20.4%), respectively. When the meta-regression was adjusted for the variables sex, measurement method, and competitive level, a significant difference between sex ( < 0.001), dual-energy x-ray absorptiometry and skinfolds ( = 0.02), and national and international-level players ( = 0.02) was found. However, sensitivity analysis revealed that findings regarding measurement method and competitive level were not robust and should, therefore, be interpreted with caution.
CONCLUSIONS
Despite the limitations of published data, this meta-analysis provided pooled values for body fat of male and female volleyball players for different competitive levels and measurement methods.
Topics: Humans; Male; Female; Volleyball; Body Composition; Anthropometry; Adipose Tissue; Absorptiometry, Photon
PubMed: 37578094
DOI: 10.1080/15502783.2023.2246414 -
International Journal of Obesity (2005) Sep 2023No large-scale studies have compared associations between body composition and cardiovascular risk factors across multi-ethnic populations.
BACKGROUND
No large-scale studies have compared associations between body composition and cardiovascular risk factors across multi-ethnic populations.
METHODS
Population-based surveys included 30,721 Malay, 10,865 Indian and 25,296 Chinese adults from The Malaysian Cohort, and 413,737 White adults from UK Biobank. Sex-specific linear regression models estimated associations of anthropometry and body composition (body mass index [BMI], waist circumference [WC], fat mass, appendicular lean mass) with systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), triglycerides and HbA1c.
RESULTS
Compared to Malay and Indian participants, Chinese adults had lower BMI and fat mass while White participants were taller with more appendicular lean mass. For BMI and fat mass, positive associations with SBP and HbA1c were strongest among the Chinese and Malay and weaker in White participants. Associations with triglycerides were considerably weaker in those of Indian ethnicity (eg 0.09 [0.02] mmol/L per 5 kg/m BMI in men, vs 0.38 [0.02] in Chinese). For appendicular lean mass, there were weak associations among men; but stronger positive associations with SBP, triglycerides, and HbA1c, and inverse associations with LDL-C, among Malay and Indian women. Associations between WC and risk factors were generally strongest in Chinese and weakest in Indian ethnicities, although this pattern was reversed for HbA1c.
CONCLUSION
There were distinct patterns of adiposity and body composition and cardiovascular risk factors across ethnic groups. We need to better understand the mechanisms relating body composition with cardiovascular risk to attenuate the increasing global burden of obesity-related disease.
Topics: Male; Adult; Humans; Female; Ethnicity; Cholesterol, LDL; Glycated Hemoglobin; Risk Factors; Body Composition; Obesity; Body Mass Index; Cardiovascular Diseases; Triglycerides; Waist Circumference; Blood Pressure; Heart Disease Risk Factors
PubMed: 37460680
DOI: 10.1038/s41366-023-01339-9 -
Clinical Nutrition ESPEN Oct 2023The epidemic of obesity is associated with a substantial, complex and escalating burden of disease. Dietary and lifestyle interventions provide the mainstay of... (Review)
Review
BACKGROUND AND AIMS
The epidemic of obesity is associated with a substantial, complex and escalating burden of disease. Dietary and lifestyle interventions provide the mainstay of management; however, obesity is multifactorial and challenging to address clinically. Disrupted circadian behaviours, including late eating, are associated with obesity. Time-restricted feeding (TRF), the confinement of calorie intake to a temporal 'eating window', has received growing interest as a weight-loss intervention. Benefits are purported to arise from the fasting period and strengthened circadian metabolism. However, the current evidence-base for TRF is small-scale, limited, and there has been little evaluation of circadian schedule. This research aims to enable evidence-based conclusions regarding circadian-aligned TRF as a weight-loss intervention in obesity.
METHODS
A systematic three-tranche search strategy was conducted within PubMed. Included studies were critically evaluated. Search tranches scoped: interventional evidence for TRF; evidence linking meal timing, obesity and metabolic function; and evidence linking circadian function, obesity, and dysmetabolism. Results were summarised in a narrative analysis.
RESULTS
A total of 30 studies were included. From small-scale and short-term evidence, TRF was consistently associated with improved weight, glycaemic and anthropometric outcomes versus baseline or control. Good adherence and safety, and consistency of results between studies, were notable. Earlier ('circadian-aligned') eating was associated with greater diet-induced thermogenesis, and improved weight loss and glycaemic outcomes. Limited evidence suggested meaningful correlations between circadian clock function and obesity/metabolic risk.
CONCLUSIONS
Circadian-aligned TRF may present a promising intervention for weight loss and metabolic benefits in obese/overweight individuals.
Topics: Humans; Obesity; Intermittent Fasting; Fasting; Anthropometry; Weight Loss
PubMed: 37739690
DOI: 10.1016/j.clnesp.2023.07.086 -
Nutrients Jul 2023Anorexia nervosa is associated with a significant risk of morbidity and mortality. In clinical practice, health risk is assessed and estimated using routinely collected...
UNLABELLED
Anorexia nervosa is associated with a significant risk of morbidity and mortality. In clinical practice, health risk is assessed and estimated using routinely collected laboratory data. This study will develop a risk score using clinically relevant laboratory parameters. The related question is how to estimate the health risk associated with underweight using body weight, height and age.
METHODS
We used routinely collected laboratory parameters from a total of 4087 patients. The risk score was calculated on the basis of electrolytes, blood count, transaminases and LDH. The nine parameters used were summed as zlog-transformed values. Where appropriate, the scales were inverted so that high values represented higher risk. For statistical prediction of the risk score, weight/height and age reference values from the WHO, the CDC (Center of Disease Control) and representative studies of German children and adults (KIGGS and NNS) were used.
RESULTS
The score calculated from nine laboratory parameters already shows a convincing relationship with BMI. Among the weight measures used for height and age, the z-score from the CDC reference population emerged as the best estimate, explaining 34% of the variance in health risk measured by the laboratory score. The percentile rank for each age-specific median weight from the KIGGS/NNS still explained more than 31% of the variance. In contrast, percentiles explained less variance than BMI without age correction.
CONCLUSIONS
The score we used from routine laboratory parameters appears to be an appropriate measure for assessing the health risk associated with underweight, as measured by the quality of the association with BMI. For estimating health risk based on weight, height and age alone, z-scores and percentages of age-specific median weight, as opposed to percentiles, are appropriate parameters. However, the study also shows that existing age-specific BMI reference values do not represent risk optimally. Improved statistical estimation methods would be desirable.
Topics: Child; Adult; Humans; Body Mass Index; Thinness; Risk Factors; Reference Values; Body Height; Body Weight
PubMed: 37513680
DOI: 10.3390/nu15143262 -
Facial Plastic Surgery Clinics of North... Aug 2023There are anthropometric differences between the bony and integumentary facial features of male and female individuals. When compared to males, female faces in general... (Review)
Review
There are anthropometric differences between the bony and integumentary facial features of male and female individuals. When compared to males, female faces in general are more heart-shaped, with a shorter and smoother forehead, a smaller more defined nose, and a tapered chin.
Topics: Humans; Male; Female; Forehead; Chin; Anthropometry
PubMed: 37348975
DOI: 10.1016/j.fsc.2023.03.002 -
Gut Microbes Dec 2023Obesity (OB) and cardiometabolic disease are major public health issues linked to changes in the gut microbiome. OB and poor cardiometabolic health status (CHS) are...
Obesity (OB) and cardiometabolic disease are major public health issues linked to changes in the gut microbiome. OB and poor cardiometabolic health status (CHS) are often comorbid, which hinders efforts to identify components of the microbiome uniquely linked to either one. Here, we used a deeply phenotyped cohort of 408 adults from Colombia, including subjects with OB, unhealthy CHS, or both, to validate previously reported features of gut microbiome function and diversity independently correlated with OB or CHS using fecal metagenomes. OB was defined by body mass index, waist circumference, and body fat; CHS as healthy or unhealthy according to blood biochemistry and anthropometric data. We found that OB, more so than metabolic status, drove associations with gut microbiome structure and functions. The microbiome of obese individuals with and without co-existing unhealthy CHS was characterized by reduced metagenomic diversity, reduced fermentative potential and elevated capacity to respond to oxidative stress and produce bacterial antigens. Disease-linked features were correlated with increased host blood pressure and inflammatory markers, and were mainly contributed by members of the family . Our results link OB with a microbiome able to tolerate an inflammatory and oxygenated gut state, and suggest that OB is the main driver of microbiome functional differences when poor CHS is a comorbidity.
Topics: Adult; Humans; Gastrointestinal Microbiome; Microbiota; Obesity; Adipose Tissue; Anthropometry
PubMed: 37680093
DOI: 10.1080/19490976.2023.2246634