scholarly journals Critical Appraisal of Selected Body Composition Data Acquisition Techniques in Public Health

Author(s):  
Steven Provyn ◽  
Aldo Scafoglieri ◽  
Jonathan Tresignie ◽  
Cline Lum ◽  
Jan Pieter ◽  
...  
2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Lucia Cordero ◽  
Marta Rivero Martínez ◽  
Paula Jara Caro Espada ◽  
Elena Gutiérrez ◽  
Evangelina Mérida ◽  
...  

Abstract Background and Aims Overhydration (OH) is an independent predictor of mortality on hemodialysis (HD). The gold standard to assess OH is BCM monitor from Fresenius®, however BCM is a hospital hold device limiting its use. New smart scales have emerged as household devices reporting daily body composition data. Objective To determine if Renpho ES-CS20M® could be useful on a 52 HD patient to estimate body composition data. Method 72 body composition assessments (BCA) during mid-week HD session were performed. Each BCA included: (1) Predialysis Renpho measurement, (2) Predialysis BCM monitor measurement, (3) Postdialysis Renpho measurement. To track the fluid balance during the HD session: (1) we recorded ultrafiltration, (2) food or fluid intake was not allowed, and (3) none of the HD patients urinated during the HD session. If any intravenous fluids were needed during the HD session, we subtracted them off from UF. Results Data from 52 HD patients were studied (age 58.8 ± 16.8 years, 56.9 % males, 14.7% diabetics), with a mean pre-HD weight of 70.0 ± 13. 4 Kg, overhydration of 1.7 ± 1.5 L and urea distribution volume of 31.7 ± 5.7 L. The mean ultrafiltration during HD session was -1.8 ± 0.9 L. Renpho estimated a Pre – HD hydration of 34.25 ± 6.02 Kg vs 33.4 ± 5.7 Kg by BCM, showing a good concordance between methods (ICC 0.788 [0.67-0.86], B -0.58, p <0.01). Renpho poorly estimated pre – HD lean tissue mass at 45.4 ± 6.9 Kg compared with 33.8 ± 8.0 Kg by BCM. Although Renpho was able to provide a moderate concordant estimation of fat tissue mass (33.8 ± 8.0 % with Renpho vs 34.7 ± 9.6%), the bias proportion was unacceptable. Post- HD hydration by Renpho was not able to reproduce the ultrafiltracion achieved during the HD session (pre-HD 34.25 ± 6.02 Kg vs post-HD 34.08 ± 6.00 Kg). Conclusion Renpho has a proportional bias estimating predialysis hydration compared with BCM monitor, but is not able to assess changes produced with ultrafiltration or other parameters of body composition (as lean or fat tissue mass). Although smart scales are unacurate to assess body composition on HD patients, they could be useful on the follow up of them changing the accuracy for frequency.


2018 ◽  
Vol 44 (6) ◽  
pp. 887
Author(s):  
Aisha Parveen ◽  
Adam Heetun ◽  
David Layfield ◽  
Lorraine Durcan ◽  
Kesta Durkin ◽  
...  

Author(s):  
Jake M Robinson ◽  
Ross Cameron ◽  
Brenda Parker

Globally, anthropogenic sound and artificial light pollution have increased to alarming levels. Evidence suggests that these can disrupt critical processes that impact ecosystems and human health. However, limited focus has been given to the potential effects of sound and artificial light pollution on microbiomes. Microbial communities are the foundations of our ecosystems. They are essential for human health and provide myriad ecosystem services. Therefore, disruption to microbiomes by anthropogenic sound and artificial light could have important ecological and human health implications. In this mini-review, we provide a critical appraisal of available scientific literature on the effects of anthropogenic sound and light exposure on microorganisms and discuss the potential ecological and human health implications. Our mini-review shows that a limited number of studies have been carried out to investigate the effects of anthropogenic sound and light pollution on microbiomes. However, based on these studies, it is evident that anthropogenic sound and light pollution have the potential to significantly influence ecosystems and human health via microbial interactions. Many of the studies suffered from modest sample sizes, suboptimal experiments designs, and some of the bioinformatics approaches used are now outdated. These factors should be improved in future studies. This is an emerging and severely underexplored area of research that could have important implications for global ecosystems and public health. Finally, we also propose the photo-sonic restoration hypothesis: does restoring natural levels of light and sound help to restore microbiomes and ecosystem stability?


2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Aura Catalina Zea‐Robles ◽  
Astrid Yamile Rodriguez‐Arboleda ◽  
Diana Poala Sáenz ◽  
Freddy Camilo Triana‐Domínguez ◽  
Henry Humberto Leon‐Ariza

2020 ◽  
Vol 42 (10) ◽  
pp. 852-866
Author(s):  
Abdallah Abu Khait ◽  
Juliette Shellman ◽  
Katherine Sabo

Dementia is a serious condition that has become a public health priority worldwide. Reminiscence is the process of recollecting personal memories from the distant past. This metasynthesis aims to present a thorough analysis of available qualitative literature concerning patients’ perspectives about reminiscence in dementia care. A search of CINAHL, PubMed, PsycINFO, Scopus, and ProQuest for qualitative studies published in English between 2005 and 2019 generated 110 studies. Eleven studies were retrieved, assessed for quality using the Critical Appraisal Skills Programme tool, and then synthesized according to Noblit and Hare’s seven-step approach. Metaphors were arranged in a list and translated into one another. Five reciprocal themes emerged: Promoting a Comfort Zone, Keeping the Conversation Going, Creating a Dynamic Life, Reliving Painful Memories and Emotional Turmoil, and Strengthening Inner Forces. Increased awareness of patients’ perspectives about reminiscence can help design a better framework for interventions that will serve this vulnerable population.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Seulki Kim ◽  
Yoonji Lee ◽  
Na-yeong Lee ◽  
Seonhwa Lee ◽  
Yujung Choi ◽  
...  

Abstract Purpose: This study aimed to compare obesity indices with impedance analyzed body composition data, and to investigate the association between impedance analyzed body composition data and the prevalence of metabolic syndrome. Methods: 123 prepubertal children (49% girls 3-to-8- year-old, 51% boys 3-to-9-year-old) who are below or equal to body mass index (BMI, kg/m2) 85th percentile were retrospectively reviewed. Height, weight, waist circumference, blood pressure, serum lipid profiles, fasting plasma glucose and serum insulin were measured. Body fat percentile (BFP), fat-free mass (FFM) were measured by BIA and fat mass index (FMI), fat-free mass index (FFMI) were calculated. We investigated the relationship between metabolic syndrome indicators and body composition measured by BIA. Metabolic syndrome (MetS) was defined as including more than or equal to three of the metabolic abnormalities according to the modified National Cholesterol Education Program Adult Treatment Panel III. Results: The overall prevalence of MetS was found to be 15.4%(19/123). The prevalence of MetS, MetS indicators, and body composition measured by BIA were not significantly different between males and females. BMI z-score was positively correlated with BFP, FMI and FFMI (r=0.51, P=0.001; r=0.63, P=0.001; r=0.29, P=0.001, respectively), so was waist-to-height ratio (WHR) (r=0.57, P=0.001; r=0.70, P=0.001; r=0.33, P=0.001). Homeostatic model assessment for insulin resistance (HOMA-IR) index was associated to BFP, FFM, FMI, and FFMI (r=0.305, P=0.003; r=0.359, P=0.001; r=0.331, P=0.001; r=0.24, P=0.018, respectively). Regression analysis showed chronological age (CA) and BMI z-score affect HOMA-IR (β=0.61, P=0.001; β=0.93, P=0.002, respectively) and CA was considered as a potential risk factor of MetS (Odd ratio of 3.09 and 95 % confidence interval of 1.25–7.65). Conclusion: BIA seems to be a good tools for measuring obesity but not a good tool for predicting complications of obesity in prepubertal children. Further study is needed on the risk factors for complications of obesity in prepubertal children.


2021 ◽  
pp. 199-225
Author(s):  
Eduardo Tosta

Understanding the interactions of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) with humans is deeply grounded in immunology, from the diagnosis to pathogenesis, from the clinical presentations to the epidemiology, prevention, and treatment. However, the difficulty of capturing the complex and changeable array of immunological concepts and incorporating them into the strategies of control of the SARS-CoV-2 pandemic poses significant hindrances to establish optimal public health policies. The contribution of immunology to the control of the pandemic is to shed light on the features and mechanisms of the protective immunity elicited by SARS-CoV-2 infection and vaccines. Do they induce effective protective immunity? How? For how long? What is the effect of vaccination on individuals who were previously infected? To appropriately answer these questions, it is necessary to get rid of the outdated notion of a naïve, static, and closed immune system, which leads to misconceptions about susceptibility, specificity, immunological memory, and protective immunity. The present essay discusses these issues based on current immunological concepts.


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