Association of depression, anxiety and menopausal-related symptoms with demographic, anthropometric and body composition indices in healthy postmenopausal women

Abstract Background The termination of the menstrual cycle is correlated with a number of physiological alterations and symptoms that can negatively impact emotion and mood. We aimed to investigate the association of anxiety, depression, and menopausal related symptoms with demographic, anthropometric, and body composition indices in healthy postmenopausal women. Methods A total of 320 menopausal women were selected randomly from referrals of health centers between January and June 2018 in Tabriz/Iran. All participants completed a demographic questionnaire. Bioelectrical impedance analysis was applied to evaluate body fat mass (BFM), soft lean mass (SLM), and lean body mass (LBM) of participants. The modified Kupperman index, Beck's depression inventory-II, and Spielberger’s state-trait anxiety inventory were applied to measure the severity of menopausal-related symptoms, the frequency, and severity of the symptoms of depression and state (SA) and trait anxiety (TA), respectively. Results Finally, 245 postmenopausal women with age of 55.33 ± 4.48 years and body mass index (BMI) of 27.96 ± 3.22 kg/m2 were studied. Women with the age of 55 years and older (OR 3.928, 95% CI 1.504–10.256) and also women with mild physical activity (OR 10.104, 95% CI 3.785–26.976) had a greater possibility of having mild and moderate depression in comparison with women less than 50 years old and women with moderate and severe physical activity. Moderate and severe physical activity was correlated with a lower possibility of having medium upward, relatively severe and severe TA in comparison with participants with mild physical activity in these women (OR 0.372, 95% CI 0.151–0.917). Women with higher BMI and BFM had and more severe menopause-related symptoms (r = 0.143, p = 0.025 and r = 0.139, p = 0.030, respectively) and more severe TA symptoms (r = 0.198, p = 0.018 and r = 0.151, p = 0.021, respectively). Women with lower LBM (r = − 0.139, p = 0.031) and lower SLM (r = − 0.128, p = 0.047) had more severe depressive symptoms. Conclusion Postmenopausal women with higher age and lower physical activity had a greater possibility of having mild and moderate depression. Lower physical activity was also correlated with a greater possibility of having medium upward to severe TA symptoms. Postmenopausal women with higher BMI and BFM had more severe menopause-related and TA symptoms. Women with lower LBM and SLM had more severe depressive symptoms.

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A Pilot Study Examining Body Composition Classification Differences Between Body Mass Index and Bioelectrical Impedance Analysis in Children With High Levels of Physical Activity

Frontiers in Pediatrics ◽

10.3389/fped.2021.724053 ◽

2021 ◽

Vol 9 ◽

Author(s):

David J. Farbo ◽

Deborah J. Rhea

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Composition ◽

Pilot Study ◽

Body Mass ◽

Body Fat ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Significant Difference

Background: Body mass index (BMI) is frequently labeled as “flawed” in assessing obesity since it cannot differentiate between muscle and fat leading to misclassifications of healthy individuals. Bioelectrical impedance analysis (BIA) may be a more accurate indicator of obesity since it can distinguish the difference between muscle and fat in children. This pilot study investigated discrepancies between BMI and BIA body composition classifications in children with high levels of physical activity.Methods: Participants were selected from three elementary schools (N = 380, K = 76, 1st = 64, 2nd = 62, 3rd = 61, 4th = 83, and 5th = 34) receiving 60 min of outdoor, unstructured play daily. BIA scales were used to collect each child's body fat percentage and BMI score, then those numbers were categorized by BIA and BMI normative values as either underweight, healthy, overweight, or obese.Results: Overall, 26% of the students were classified differently when using the normative classifications for BMI and BIA, with the largest discrepancy found in the overweight category at 38%. Similar inconsistencies were found when students were divided as younger (42%) vs older students (36%), and males (40%) vs. females (35%).Conclusions: This pilot study demonstrated that there is a significant difference in how BMI and BIA discriminate between the different body composition categories. BIA consistently shows to be a more accurate tool in assessing obesity rates in children since it directly measures body fat.

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Body Composition, Psychological, Cardiovascular, and Physical Activity Factors Related with Academic School Performance

Sustainability ◽

10.3390/su13168775 ◽

2021 ◽

Vol 13 (16) ◽

pp. 8775

Author(s):

Laura Redondo-Flórez ◽

Domingo Jesus Ramos-Campo ◽

Vicente Javier Clemente-Suárez

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Heart Rate ◽

Body Composition ◽

Academic Performance ◽

Body Mass ◽

Trait Anxiety ◽

Motor Development ◽

Overweight And Obesity ◽

School Students

The aim of the present study was to analyse body composition, anxiety, cardiovascular, and physical activity factors related with academic performance of school students as well as to analyse differences, by age, in these factors. We analysed in 266 primary school students’ (8.81 ± 1.62 years, range: 5–13 years) heart rate, anthropometric variables to calculate body mass index, physical activity performance, anxiety levels and academic results by the average of marks. Students were divided in two different groups, firstly by their lower or higher academic performance, and secondly by age. Results showed a negative correlation between academic performance and age, weight, body mass index and trait anxiety variables. Additionally, significant differences were found by age, presenting older students higher scores in body mass index and lower physical activity, trait anxiety, heart rate and academic performance values than younger students. Overweight and obesity may have a great impact in academic performance in children and we pointed out the necessity to establish programs related with healthy habits which include improvements in physical activity and nutrition behaviours with the objective to enhance children’s health general status, psychological profile, cognitive and motor development, and academic performance.

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Obesity and Body Composition in Preschool Children with Different Levels of Actigraphy-Derived Physical Activity—A Cross-Sectional Study

Journal of Clinical Medicine ◽

10.3390/jcm9041210 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1210

Author(s):

Justyna Wyszyńska ◽

Piotr Matłosz ◽

Agnieszka Szybisty ◽

Paweł Lenik ◽

Katarzyna Dereń ◽

...

Keyword(s):

Physical Activity ◽

Body Composition ◽

Preschool Children ◽

Lower Risk ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Fat Free Mass ◽

Fat Percentage ◽

Cross Sectional ◽

Steps Per Day

Detailed associations between physical activity (PA) and body composition in preschoolers remain unclear. The aim of this study was to assess body composition among preschool children differentiated according to their levels of PA and to assess whether meeting the current PA recommendations is associated with a lower risk of obesity, determined by body mass index (BMI) and body fat percentage (BFP). Free-living PA was measured using accelerometers for 7 days in children aged 5 to 6 years. Bioelectrical impedance analysis was used to estimate body composition. Significant differences in content of BFP, fat-free mass (FFM), and total body water (TBW) were found between boys meeting and not meeting moderate-to-vigorous PA (MVPA) recommendations. Meeting the MVPA recommendation was associated with a twofold lower risk of obesity determined by BFP in boys but not in girls. In contrast, the total number of recommended steps per day was not related to adiposity in boys or girls. No statistically significant differences were observed in body composition indices and quintiles of MVPA. Boys in the 3rd–5th quintiles of steps per day presented significantly lower BFP and higher muscle mass and TBW than their peers in quintile 1. However, different associations were observed between body composition indices and quintiles of PA.

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Comparison of Body Composition Methods During Weight Loss in Obese Women Using Herbal Formula

The American Journal of Chinese Medicine ◽

10.1142/s0192415x05003454 ◽

2005 ◽

Vol 33 (06) ◽

pp. 851-858 ◽

Cited By ~ 8

Author(s):

Ho-Jun Kim ◽

Dympna Gallagher ◽

Mi-Yeon Song

Keyword(s):

Body Composition ◽

Body Mass ◽

Body Fat ◽

Intervention Program ◽

Low Cost ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Obese Women ◽

Before And After ◽

Total Body

Bioelectrical impedance analysis (BIA), a device that analyzes the current conduction differences between the fat and water components is widely used for reasons that include convenience of use, non-invasiveness, safety, and low cost. Dual energy X-ray absorptiometry (DXA) allows for the assessment of total body and regional lean and fat tissues and bone mineral content (BMC). The objective of this study was to compare body composition assessments by BIA and DXA before and after a 6-week herbal diet intervention program in 50 pre-menopausal women [mean ± SD: age 30.58 ± 6.15, body mass index (BMI) 31.72 ± 3.78]. Waist-to-hip ratio (WHR) was measured by BIA and anthropometry. Lean body mass (LBM), body fat (BF), BMC and percent body fat (%BF) were measured by BIA and DXA. Highly significant correlations were observed between BIA and DXA measurements for LBM, BF, BMC and %BF (r = 0.73, 0.93, 0.53, 0.79, respectively) before the intervention. Differences between BIA and DXA measurements were observed in LBM, BF, %BF and BMC before intervention ( p < 0.01) where WHR by BIA was significantly higher compared to anthropometry before ( p < 0.01) and after the intervention ( p < 0.01). BIA underestimated LBM by 1.85 kg and overestimated BF by 2.54 kg compared to DXA before the intervention. Although BIA and DXA showed highly significant correlations for LBM, BF, BMC and %BF before the intervention, they did not produce statistically comparable results in pre-menopausal Korean women and therefore should not be used interchangeably when measuring body composition.

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Role of Body Bioelectrical Impedance Analysis in the Assessment of the Nutritional Status of Patients with Inflammatory Bowel Disease and Metabolic Syndrome

Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences ◽

10.2478/v10046-012-0007-y ◽

2012 ◽

Vol 66 (3) ◽

pp. 125-127

Author(s):

Edgars Bodnieks ◽

Aldis Puķītis ◽

Juris Pokrotnieks

Keyword(s):

Metabolic Syndrome ◽

Inflammatory Bowel Disease ◽

Body Composition ◽

Nutritional Status ◽

Body Mass ◽

Bowel Disease ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Inflammatory Bowel

Abstract Nutrition has an important role in the management of inflammatory bowel disease (IBD) and metabolic syndrome (MS). The goal of this study was to assess the nutritive status of patients treated with IBD and metabolic syndrome in the Gastroenterology Centre, Pauls Stradiòð Clinical University Hospital. Body bioelectrical impedance analysis (BIA) using GENIUS 220 PLUS (Jawon Medical) was used to determine Body Mass Index (BMI) kg/m², Metabolic Body Fat (MBF) kg, Soft Lean Mass (SLM) kg, Total Body Water (TBW) kg, body composition, metabolic type, Basal Metabolic Rate (BMR) kcal, and total Energy Expenditure (TEE) kcal in patients with IBD and metabolic syndrome and in a similarly aged control group. The obtained data showed that BMI was not correlated with MBF, BTW and Lean Body Mass (LBM). Patients with Crohn’s disease (CD) had normal value of BMI (M 24.3 kg/m²; F 20.2kg/m²), but we found variety-specific differences in body composition that confirmed deficiency or increase of specific body parameters. The performed prospective study confirmed the importance of the more precise nutritional status analysis, as it was clinically useful for the nutritional management of IBD. Patients with CD had expressed nutrient deficiency, sarcopenia, and reduced amount of proteins and minerals. For patients with MS, sarcopenia was present despite obesity.

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Prospective metrological validation of multifrequency bioelectrical impedance analysis against volumetric imaging to identify sarcopenia in head and neck cancer patients undergoing radiation therapy

10.1101/19006668 ◽

2019 ◽

Author(s):

Aaron J. Grossberg ◽

Crosby D. Rock ◽

Jared Edwards ◽

Abdallah S.R. Mohamed ◽

Debra Ruzensky ◽

...

Keyword(s):

Body Composition ◽

Radiation Therapy ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Body Mass ◽

Neck Cancer ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis

AbstractImportanceDepleted skeletal muscle mass (sarcopenia) is associated with decreased survival and cancer control in head and neck cancer patients treated with radiotherapy. There is a need for validated measures of body composition that can be implemented in routine clinical workflow.ObjectiveTo validate the use of bioelectrical impedance analysis (BIA) for body composition analysis and diagnosis of sarcopenia in head and neck cancer patients.DesignIn this prospective observational cohort study, baseline 50 patients with head and neck cancer undergoing radiation therapy (RT) were enrolled between February 2016 and March 2017. Baseline BIA measures of skeletal muscle (SM) mass, fat-free mass (FMM), and fat mass (FM) were compared to CT-based estimates of body composition using linear regression. Sex-specific BIA-derived thresholds for sarcopenia were defined by the maximum Youden Index on receiver operator characteristic (ROC) curves of BIA against CT-defined sarcopenia. Changes in body composition across treatment were compared against changes in body weight using linear regression.ParticipantsIn total, 50 patients with pathologically confirmed stage I to IVB non-metastatic head and neck cancer treated with definitive radiation therapy were enrolled.SettingSingle academic referral center.Main Outcome and MeasureThe primary outcome was relative agreement between baseline lean body mass and fat body mass predicted from BIA measurement and CT imaging.ResultsOf the 48 evaluable patients 16 (33.3%) were sarcopenic at baseline based on CT analysis. BIA measures of body composition were strongly correlated with CT measures: SM mass (r = 0.97; R2 = 0.94; p < 0.0001), FFM (r = 0.97; R2 = 0.94; p < 0.0001) and FM (r = 0.95; R2 = 0.90; p < 0.0001). Relationship with normalized indices of SM mass, FFM, and FM was similar between BIA and CT, but not BIA and body mass index (BMI). Patients lost a mean of 5.7 ± 5.8 kg during treatment, of which 1.5 ± 1.9 kg was SM, 2.6 ± 3.3 kg was FFM, and 2.2 ± 2.6 kg was FM. Eight additional patients developed sarcopenia by the end of RT.ConclusionsBIA provides accurate estimates of body composition in head and neck cancer patients. Implementation of BIA in clinical practice may identify patients with sarcopenia.Trial RegistrationClinicalTrials.gov identifier: NCT02615275

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Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity

Innovation in Aging ◽

10.1093/geroni/igab046.100 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 28-28

Author(s):

Ladda Thiamwong ◽

Joon-Hyuk Park ◽

Renoa Choudhury ◽

Oscar Garcia ◽

Maxine Furtado ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Body Composition ◽

Fall Risk ◽

Fear Of Falling ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Health Technology ◽

Cross Sectional ◽

Risk Appraisal

Abstract One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data suggest the interrelation between fall risk appraisal, body composition, and objective measured PA. This cross-sectional study examines the feasibility of recruitment and acceptability of Assistive Health Technology (AHT), including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis (InBody s10), and ActiGraph GT9X Link wireless activity monitor. This study demonstrates the benefits of using AHT to study the associations among FRA, body composition, and PA in older adults. We hypothesize that rational FRA is associated with higher levels of PA and skeletal muscle mass and lower levels of percent of body fat and body mass index. Topics presentation included research protocol and preliminary results.

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Association between Hydration Status and Body Composition in Healthy Adolescents from Spain

Nutrients ◽

10.3390/nu11112692 ◽

2019 ◽

Vol 11 (11) ◽

pp. 2692 ◽

Cited By ~ 1

Author(s):

Ana Laja García ◽

Carmen Moráis-Moreno ◽

Mª Samaniego-Vaesken ◽

Ana Puga ◽

Gregorio Varela-Moreiras ◽

...

Keyword(s):

Body Composition ◽

Body Weight ◽

Body Mass ◽

Water Intake ◽

Fat Body ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Normal Weight ◽

International Standards ◽

Hydration Status

At present, obesity and overweight are major public health concerns. Their classical determinants do not sufficiently explain the current situation and it is urgent to investigate other possible causes. In recent years, it has been suggested that water intake could have important implications for weight management. Thus, the aim of this study was to examine the effect of hydration status on body weight and composition in healthy adolescents from Spain. The study involved 372 subjects, aged 12–18 years. Water intake was assessed through the validated “hydration status questionnaire adolescent young”. Anthropometric measurements were performed according to the recommendations of the International Standards for Anthropometric Assessment (ISAK) and body composition was estimated by bioelectrical impedance analysis. Water intake normalized by body weight was positively correlated with body water content (boys (B): r = 0.316, p = 0.000; girls (G): r = 0.245, p = 0.000) and inversely with body mass index (BMI) (B: r = −0.515, p = 0.000; G: r = −0.385, p =0.000) and fat body mass (B: r = −0.306, p = 0.000; G: r = −0.250, p = 0.001). Moreover, according to BMI, overweight/obese individuals consumed less water than normal weight ones. In conclusion, higher water balance and intake seems to be related with a healthier body composition.

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Trajectories of Body Composition during Advanced Aging in Consideration of Diet and Physical Activity: A 20-Year Longitudinal Study

Nutrients ◽

10.3390/nu12123626 ◽

2020 ◽

Vol 12 (12) ◽

pp. 3626

Author(s):

Alexandra Jungert ◽

Gerrit Eichner ◽

Monika Neuhäuser-Berthold

Keyword(s):

Physical Activity ◽

Body Composition ◽

Body Mass ◽

Protein Intake ◽

Activity Index ◽

Bioelectrical Impedance ◽

Community Dwelling ◽

Fat Free Mass ◽

Anthropometric Data ◽

Age Dependent

This prospective study investigates age-dependent changes in anthropometric data and body composition over a period of two decades in consideration of physical activity and diet in community-dwelling subjects ≥60 years. Overall, 401 subjects with median follow-up time of 12 years were examined. Fat-free mass (FFM) and fat mass (FM) were analyzed using bioelectrical impedance analysis. Physical activity was assessed via a self-administered questionnaire. Dietary intake was examined by 3-day dietary records. Linear mixed-effects models were used to analyze the influence of age, sex, physical activity and energy/protein intake on anthropometric data and body composition by considering year of entry, use of diuretics and diagnosis of selected diseases. At baseline, median values for daily energy and protein intakes were 8.5 megajoule and 81 g and physical activity index was 1.7. After adjusting for covariates, advancing age was associated with parabolic changes indicating overall changes from age 60 to 90 years in women and men in body mass: −4.7 kg, −5.0 kg; body mass index: +0.04 kg/m2, −0.33 kg/m2; absolute FFM: −2.8 kg, −3.5 kg; absolute FM: −1.8 kg, −1.2 kg and waist circumference: +16 cm, +12 cm, respectively. No age-dependent changes were found for upper arm circumference and relative (%) FFM. Dietary and lifestyle factors were not associated with changes in anthropometric or body composition parameters. In summary, the results indicate non-linear age-dependent changes in anthropometric data and body composition, which are largely unaffected by the degree of habitual physical activity and dietary protein intake in well-nourished community-dwelling subjects.

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