4C Model Research Articles

Development and validation of the 4C thermal–hydraulic model of the ITER Central Solenoid modules

The ITER Central Solenoid (CS) consists of a stack of six modules, each made of 40 pancakes wound with Nb3Sn Cable-In-Conduit Conductors (CICCs) cooled with supercritical helium (SHe). All six modules (plus one spare) are to be individually cold-tested at the General Atomics final test facility in San Diego (USA), in order to check their performance; the first CS Module (CSM1) was tested in early 2020.A test campaign on a CSM Mock-up (CSM MU) wound with 16 dummy pancakes, i.e., with non-superconducting (copper) strands, was already carried out in San Diego at the end of 2017, for the commissioning of the test facility. The analysis of the CSMMU experimental data is presented here.Each CSM is a full magnet with 554 turns; it did not have any thermal–hydraulic (TH) or electrical sensors inside the winding due to insulation reasons, so that, e.g., SHe pressure, temperature and mass flow rate, as well as the voltage, were only measured at the ends of selected pancakes.Therefore, it was essential to employ a thermal–hydraulic (TH) model in order to obtain information on the quantities of interest inside the coil, e.g. which was the voltage across the coil at the moment when the current sharing temperature (TCS) was reached for the first time somewhere in that double-pancake (DP) during a TCS test.The TH model of the CSM, developed and implemented in the validated 4C code, and eventually adopted for the test preparation and interpretation, includes some free parameters, i.e., the inter-pancake and inter-turn thermal coupling, whose uncertainty is mainly due to the complex, multi-layer structure of the turn and pancake insulation. The calibration of these parameters is required to correctly capture the TH behavior of the CSM. For this purpose, the results of the experimental campaign on the CSM MU have been used. The detailed topology of the CSM MU is described and implemented here in a dedicated 4C model. Both slow and fast transients are used for the calibration, e.g., quasi-steady state heating of the SHe, entering a single DP and heat slug tests, respectively. It is shown that the transverse heat transfer within the winding pack could be largely overestimated if the ideal heat conduction across a bulk insulation layer is considered. The calibrated model is then validated on the CSM1 test results.

Trust, Vaccine Hesitancy, and the COVID-19 Pandemic: A Phenomenological Perspective

ABSTRACT Vaccine hesitancy has been a major cause for concern throughout the COVID-19 pandemic. The World Health Organization have previously addressed vaccine hesitancy via the ‘3C model’ (Convenience, Complacency, and Confidence). Recent scholarship has added two more ‘Cs’ (Context and Communication) to formulate a ‘5C model’ that is more equipped to adapt to the uncertainties of the pandemic. This paper focuses on the four ‘Cs’ that explicitly concerns trust (Complacency, Confidence, Context, and Communication) and phenomenologically distinguishes confidence from trust. Experts view vaccines in terms of confidence, where the prospect of an undesirable outcome is extremely rare. Hence, not vaccinating and compromising herd immunity is seen to be unreasonable. Hesitant individuals contest the expert perspective and view vaccines in terms of trust, where the prospect of disappointment is likely. From this perspective, to vaccinate is to take a risk, and it is within reason to have the freedom to choose otherwise. This paper focuses on the hesitant perspective to identify the two social indicators of trust in vaccines most prominently shown during the COVID-19 pandemic in the Global North: (i) the expert reaction to hesitant concerns and (ii) the loss of freedom in relation to vaccine requirements.

Agreement and Precision of Deuterium Dilution for Total Body Water and Multicompartment Body Composition Assessment in Collegiate Athletes

BackgroundDeuterium oxide (D2O) dilution is the criterion method for total body water (TBW) measurement, but results may vary depending on the specimen type, analysis method, and analyzing laboratory. Bioelectrical impedance (BIA) estimates TBW, but results may vary by device make and model. ObjectivesWe investigated the accuracy and precision of TBW estimates and how measurement conditions affected the accuracy of body composition using multicompartment body composition models. MethodsEighty collegiate athletes received duplicate TBW measures acquired from 3 BIA devices (S10, SFB7, and SOZO) and from unique D2O combinations of specimen type (saliva, urine), analysis methodology [Fourier transform infrared spectrophotometry (FTIR), isotope-ratio mass spectrometry (IRMS)], and 3 different laboratories. TBW measures were substituted into 2-compartment (2C) and 5-compartment (5C) body composition models. Criterion measures were compared using Lin’s concordance correlation coefficient cutoff of poor (<0.90), moderate (0.90–0.95), substantial (0.95–0.99), and almost perfect (>0.99). ResultsFifty-one participants (26 female) completed the protocol. Using IRMS saliva as the criterion TBW, all other measures produced a substantial or almost perfect agreement, except for SFB7 (poor) and SOZO (moderate). The 2C body composition measures using D2O and BIA produced poor agreement except for moderate agreement for lab 3 FTIR saliva. The 5C body composition measures using D2O produced a substantial agreement, whereas the BIA device S10 and SOZO had a moderate agreement, while the SFB7 had a poor agreement to the criterion. Test–retest precision varied between techniques from 0.3% to 1.2% for TBW. ConclusionsSmall differences in TBW measurement led to significant differences in 2C models. The 5C models partially mitigate differences seen in 2C models when different TBW measures are used. Interchanging TBW measures in multicompartment models can be problematic and should be performed with these considerations.

Challenges in the Medical and Psychosocial Care of the Paediatric Refugee-A Systematic Review.

Background: After the invasion of Ukraine, neighbouring countries were forced to find systemic solutions to provide medical care to those fleeing the war, including children, as soon as possible. In order to do this, it is necessary to know the communication problems with refugee minors and find proposals for their solutions. Methods: A systematic review of the literature from 2016 to 2022 was conducted according to PRISMA criteria. Results: Linguistic diversity and lack of professional readiness of teachers are the main constraints hindering the assistance of refugee children in schools. Problems during hospitalization include lack of continuity of medical care and lack of retained medical records. Solutions include the use of the 3C model (Communication, Continuity of care, Confidence) and the concept of a group psychological support program. Conclusions: In order to provide effective assistance to refugee minors, it is necessary to create a multidisciplinary system of care. It is hoped that the lessons learned from previous experiences will provide a resource to help refugee host countries prepare for a situation in which they are forced to provide emergency assistance to children fleeing war.

Evaluating youth empowerment in neighbourhood settings: applying the capabilities 3C model to evidence and extend the social justice outcomes of youth work in Scotland

ABSTRACT This paper examines how collective capabilities at a neighbourhood level can support youth voice and empowerment. By applying Ibrahim’s 3C collective capabilities model in a new context with young people, we propose that it offers a useful framework to demonstrate the existing value and extend the social justice potential of youth work practice. Our findings aim to address the concern that youth work in Scotland supports individual but not collective transformation. They offer a framework to analyse the development of collective youth capabilities, with the potential to hold policy makers to account for commitments to youth decision-making such as The United Nations Convention on the Rights of the Child (Incorporation) (Scotland) Bill. The 3C model conceptualises three key processes in the development of collective agency as conscientisation, conciliation and collaboration. The model recognises the personal and group processes of engagement that lead to grassroots action, but also prompts analysis of power relations between grassroots actors and the institutions that govern public decision-making. Drawing on a case-study example, we highlight the ways in which youth work practice might extend its social justice potential, highlighting the need for collaboration and power sharing with policy institutions in order to support meaningful youth empowerment.

Parabolic quasi-Sturmian approach to proton-impact ionization of helium

A method for calculating ion-atom ionizing collisions is formulated and applied to single ionization of helium induced by energetic proton impact. Within the frozen-core model for the residual helium ion, the four-body problem in the exit channel is recast as an inhomogeneous Schr\"odinger equation for the Coulomb three-body system $({e}^{\ensuremath{-}},{\text{He}}^{+},{p}^{+})$. The asymptotic behavior of its solution contains the transition amplitude. We suggest to solve the driven equation in the representation of so-called parabolic convoluted quasi-Sturmian (CQS) basis functions which are constructed using quasi-Sturmians (QSs) for the $({e}^{\ensuremath{-}},{\text{He}}^{+})$ and $({p}^{+},{\text{He}}^{+})$ subsystems. By applying the corresponding Coulomb Green's function operators, these QSs are generated from orthogonal complements to square-integrable (${L}^{2}$) Sturmian functions in parabolic coordinates. In the proposed parabolic CQS approach explicit asymptotic expressions for the basis functions provide an expansion of the transition amplitude in terms of ``basis amplitudes,'' which we express analytically. The proton-electron interaction is treated as a perturbation and is approximated by a truncated Sturmian basis-set expansion. It is found that, at least in the high-energy limit, the ionization amplitude converges pretty fast as the number of terms in the separable expansion for the proton-electron potential is increased. The calculated fully differential cross sections for singly ionizing 1-MeV $p$-He collisions in several kinematical regimes in the scattering plane are found to be in reasonable agreement with experimental data and with the theoretical results obtained using the first Born approximation, the 3C model, and the wave-packet convergent close-coupling method. The theory-experiment discrepancy over the binary peak position observed by other authors remains unexplained.

Predictive equations for fat mass in older Hispanic adults with excess adiposity using the 4-compartment model as a reference method.

Predictive equations are the best option for assessing fat mass in clinical practice due to their low cost and practicality. However, several factors, such as age, excess adiposity, and ethnicity can compromise the accuracy of the equations reported to date in the literature. To develop and validate two predictive equations for estimating fat mass: one based exclusively on anthropometric variables, the other combining anthropometric and bioelectrical impedance variables using the 4C model as the reference method. This is a cross-sectional study that included 386 Hispanic subjects aged ≥60 with excess adiposity. Fat mass and fat-free mass were measured by the 4C model as predictive variables. Age, sex, and certain anthropometric and bioelectrical impedance data were considered as potential predictor variables. To develop and to validate the equations, the multiple linear regression analysis, and cross-validation protocol were applied. Equation 1 included weight, sex, and BMI as predictor variables, while equation 2 considered sex, weight, height squared/resistance, and resistance as predictor variables. R2 and RMSE values were ≥0.79 and ≤3.45, respectively, in both equations. The differences in estimates of fat mass by equations 1 and 2 were 0.34 kg and -0.25 kg, respectively, compared to the 4C model. This bias was not significant (p < 0.05). The new predictive equations are reliable for estimating body composition and are interchangeable with the 4C model. Thus, they can be used in epidemiological and clinical studies, as well as in clinical practice, to estimate body composition in older Hispanic adults with excess adiposity.

Factors associated with caregivers’ hesitancy to vaccinate children against influenza: A cross-sectional survey in China

BackgroundSeasonal influenza can cause serious harm to children under five years of age, while caregivers are still hesitant to vaccinate children against influenza. This study aimed to investigate caregivers’ hesitancy regarding influenza vaccination and assess the associated factors. MethodsFrom August to October 2019, a cross-sectional survey was conducted in ten provinces in China. The questionnaire collected information about sociodemographic characteristics and caregivers’ knowledge, perceptions and attitudes toward influenza vaccination. Caregivers were identified as not hesitating, hesitating or refusing to vaccinate children. Multinomial logistic regression was adopted to determine factors related to vaccine hesitancy based on the 3C model with three dimensions namely complacency, convenience and confidence. ResultsA total of 6668 valid questionnaires were collected, among which 38.57% did not hesitate to vaccinate children against influenza, 56.03% were hesitant, and 5.40% refused. Multinomial logistic regression showed that caregivers perceiving high importance (AOR = 0.68 for hesitancy; 0.15 for refusal), safety (AOR = 0.42; 0.46) or efficacy (AOR = 0.73; 0.65) of influenza vaccination, knowing children as a priority group (AOR = 0.80; 0.48), and trusting vaccination advice from medical staff (AOR = 0.65; 0.51) had lower odds of hesitancy or refusal. Those considering price as a hindering factor had higher odds of hesitancy (AOR = 1.66) or refusal (AOR = 1.47), and those viewing time or distance as a hindering factor (AOR = 1.45) or having heard of vaccine-related negative information (AOR = 1.78) had higher odds of hesitancy. Sociodemographic characteristics were associated with vaccine hesitancy or refusal, and the associations varied for hesitators and refusers. ConclusionA large proportion of caregivers in China reported their hesitancy for influenza vaccination, and the associated factors of such hesitancy were complicated. Health professionals are recommended to spread relevant scientific knowledge and give vaccine-related suggestions to caregivers in doctor visits to promote caregivers’ trust in influenza vaccination and therefore expand childhood vaccine coverage.

Explore The Potential Community-Based Tourism of Cikadu Edutourism as A Tanjung Lesung Bufferzone Area

The purpose of this research is to determine the possibility for Cikadu Tourism Village, Bufferzone Tanjung Lesung, to transition to community-based tourism through the use of the 4C model (Conservation, Community, Culture, and Commerce). In-depth interviews and interactive observations were used to acquire qualitative data. This study focuses on Cikadu Tourism Village, Tanjung Lesung's buffer zone. The findings of this study show that the Cikadu Tourism Village, Bufferzone Tanjung Lesung, has the potential to develop into a community-based tourism village. The community is eager to collaborate in order to conserve existing culture through the preservation of regional dances, the production of batik employing regionally distinctive designs, and the prudent use of existing natural resources. The natural splendor of the accessible coastal areas provides an excellent opportunity for tourist growth. However, Cikadu Tourism Village, Bufferzone Tanjung Lesung, has a long way to go in terms of establishing community-based sustainable tourism. Additionally, it must carry out tourist value chain (TVCA) operations in order to generate competitive advantages. Keywords: Community-based tourism, culture, commerce, conservation, community, pandemic, and sustainable tourism.

Accuracy of body composition measurement techniques across the age span.

This study investigated the acceptable accuracy of common body composition techniques compared with the reference 4-compartment (4C-R) model, which has not been investigated in a sample with diverse characteristics, including age and sex. Techniques included components of the 4C-R model [dual-energy X-ray absorptiometry, air displacement plethysmography, deuterium dilution (DD)] and surrogate compartment models, which utilised bioelectrical impedance spectroscopy (BIS) rather than DD. Men and women (sex = 1:1, 18-85 years, n = 90) completed body composition testing under best-practice guidance. For measurement of individuals, only the reference 3-compartment (3C-R) equation met acceptable error limits (<5% error among individuals) within the a priori cut-point (80%) for fat-free mass (FFM; CV = 0.52%) and fat mass (FM; CV = 1.61%). However, all investigated techniques reached equivalency to the 4C-R model for FFM on average (CV = 0.52-4.31%), but for FM only the 3C and 4C equations that included quantification of total body water (TBW) by DD or BIS reached equivalency overall (CV = 1.61-6.68%). Sex and age minimally influenced accuracy. Only the 3C-R or 4C-R equations are supported for acceptable individual accuracy for both FFM and FM. For group estimates any investigated technique could be used with acceptable accuracy for FFM; however, for FM, inclusion of TBW measurement within a compartment model is necessary. Novelty: Only the referent 3C and 4C models (including deuterium dilution) provide accurate body composition results that are acceptable for measurement of individuals in the general population. For group estimates of lean mass in the general population, compartments models that include TBW must be used for accurate measurement.

Validação do percentual de gordura de árbitros de futebol de elite por diferentes métodos de composição corporal

abstract The arbitration exercise in a soccer game requires high physical fitness and all federations apply physical tests to referees, including anthropometric tests, classifying them as fit or not for the role. The aim of this study was to assess the validity of the total body fat percentage (%BF) through different evaluation methods of body composition referenced in a four-compartment (4C) model. Cross-sectional study performed in 2018 with 21 elite male referees. %BF was estimated by 4 methods: anthropometry; bioelectrical impedance analysis (BIA); Dual X-ray absorptiometry (DXA) and air displacement plethysmography (ADP). Moreover, three and four-compartment (3 and 4C) models were calculated. Bland–Altman and intraclass correlations (ICC) analysis were performed to determine validity of all methods compared to a 4C reference. The results of one-way ANOVA revealed that there was no significant difference (F=1.541; p=0.182) between %BF analyzed by 4C model (15.98 ± 6.20), anthropometry (mean ± SD, 18.46 ± 7.03), ADP (16.19 ± 6.24), BIA (16.67 ± 5.30), DXA (20.33 ± 6.56) and 3C (16.92 ± 5.53). The Bland–Altman analysis showed that all methods analyzed overestimate %BF compared to the 4C model. The best agreement was obtained from the ADP evaluation (bias=-0.2), followed by BIA (bias=-0.6), 3C (bias=-0.9), anthropometry (bias=-2.4) and DXA (bias=-4.3). Validation assessed by ICC was excellent (ICC≥0.90) in most methods, except for anthropometry (ICC=0.80) and DXA (ICC=0.71). Overall, the results suggest that ADP, BIA and 3C were the best method to %BF evaluation. Nevertheless, anthropometry remains as a feasible method to monitor %BF of elite soccer referees.

Vaccine Hesitancy Model for Health Informatics and Control of Covid-19 Infodemic

As the world fights the pandemic, the world is also fighting infodemic and vaccine hesitancy, coincident with the massive shifts in communication technology and developments through social media. The World Health Organization considered vaccine hesitancy as a top ten global threat to public health. This study examines the causes and effects of vaccine hesitancy and proposes a model that adopts the 3C model. A set of structured items intended to capture responses from 150 students in Nigerian Universities towards their intention about the COVID- 19 vaccine was designed using the survey method. Their responses were analyzed using descriptive SPSS software programs. A soft modelling approach (Smart PLS) was used to evaluate the proposed model and analyze the relationships between the model constructs. The results indicate a high level of hesitancy among students. In contrast, respondents levels of confidence, complacency and convenience were high and motivated by misinformation. Based on the analyses of our findings, misinformation has reached crisis proportions regarding COVID- 19 and vaccines; social media play a more role in these challenges leading to infodemic. This article turns the spotlight by looking at how misinformation can travel within social media and could be managed, including the best ways to control infodemic (infoveillance) using digital technologies. Keywords: COVID-19 Infodemic, Infoveilance, Vaccine Hesitancy Model, Social Media. Software Digital technologies.

DISCOVER THE POTENTIAL OF COMMUNITY-BASED TOURISM IN KUTU WETAN VILLAGE

The COVID-19 pandemic and the strategy to Restart Tourism have become a turning point in increasing awareness of the role of sustainability in being more economically, socially, and environmentally sustainable. Tourism in rural areas offers significant recovery opportunities as travelers seek fewer crowds, open-air experiences, and local cultures. This study aims to see the potential of Kutu Wetan Village to be community-based tourism using the 4C (Conservation, Community, Culture, and Commerce) model. Qualitative data collection methods were carried out through in-depth interviews and participatory observations. This study is focusing on the Kutu Wetan Village, Jetis District, Ponorogo Regency, East Java. The result of this study affirms that there is a potential for Kutu Wetan Village to be a community-based tourism village. The community is happy to work together to preserve the existing culture by regularly cleaning the Suru Kubeng meditation location, regularly performing Reog at events on important dates. The beauty of the rice field available is a great potential for tourism development. However, Kutu Wetan Village still has a lot to prepare to create Community-based tourism. A tourism village should also implement tourism value chain activities (TVCA) for competitive advantage creation. This study also provides several recommendations for successfully creating community-based tourism based on World Tourism Organization (UNWTO) (2021)&#x0D; Keywords: Community-Based Tourism, Cultural, Commerce, Conservation, Community, Pandemic Tourism

The role of trained champions in sustaining and spreading nutrition care improvements in hospital: qualitative interviews following an implementation study

BackgroundMany patients are already malnourished when admitted to hospital. Barriers and facilitators to nutrition care in hospital have been identified and successful interventions developed; however, few studies have explored how...

Agreement Between A 2-Dimensional Digital Image-Based 3-Compartment Body Composition Model and Dual Energy X-Ray Absorptiometry for The Estimation of Relative Adiposity

The purpose of this study was to compare relative adiposity (%Fat) derived from a 2-dimensional image-based 3-component (3C) model (%Fat3C-IMAGE) and dual-energy X-ray absorptiometry (DXA) (%FatDXA) against a 5-component (5C) laboratory criterion (%Fat5C). 57 participants were included (63.2% male, 84.2% White/Caucasian, 22.5±4.7 yrs., 23.9±2.8 kg/m2). For each participant, body mass and standing height were measured to the nearest 0.1 kg and 0.1 cm, respectively. A digital image of each participant was taken using a 9.7 inch, 16g iPad Air 2 and analyzed using a commercially available application (version 1.1.2, made Health and Fitness, USA) for the estimation of body volume (BV) and inclusion in %Fat3C-IMAGE . %Fat3C-IMAGE and %Fat5C included measures of total body water derived from bioimpedance spectroscopy. The criterion %Fat5C included BV estimates derived from underwater weighing and bone mineral content measures via DXA. %FatDXA estimates were calculated from a whole-body DXA scan. A standardized mean effect size (ES) assessed the magnitude of differences between models with values of 0.2, 0.5, and 0.8 for small, moderate, and large differences, respectively. Data are presented as mean ± standard deviation. A strong correlation (r = 0.94, p <.001) and small mean difference (ES = 0.24, p <.001) was observed between %Fat3C-IMAGE (19.20±5.80) and %Fat5C (17.69±6.20) whereas a strong correlation (r = 0.87, p <.001) and moderate-large mean difference (ES = 0.70, p <.001) was observed between %FatDXA (22.01±6.81) and %Fat5C. Furthermore, %Fat3C-IMAGE (SEE = 2.20 %Fat, TE= 2.6) exhibited smaller SEE and TE than %FatDXA (SEE = 3.14 %Fat, TE = 5.5). The 3C image-based model performed slightly better in our sample of young adults than the DXA 3C model. Thus, the 2D image analysis program provides an accurate and non-invasive estimate of %Fat within a 3C model in young adults. Compared to DXA, the 3C image-based model allows for a more cost-effective and portable method of body composition assessment, potentially increasing accessibility to multi-component methods.

Family businesses under COVID-19: Inspiring models – Sometimes

We examine the behavior of family firms during the COVID-19 pandemic through the lens of Miller and Le Breton-Miller’s (2005) “4C model” of continuity, community, connection, and command. We show how some family firms embracing temporally and socially extended priorities have excelled along these Cs and conducted themselves as exemplary citizens during the COVID crisis. By contrast some family firms with more restricted priorities have behaved in ethically disreputable ways. We discuss the contingencies that affect these forms of behavior and suggest why family firms may be subject to both positive and negative ethical extremes.

Influenza vaccination hesitancy in large urban centers in South America. Qualitative analysis of confidence, complacency and convenience across risk groups.

Influenza vaccination coverage in countries of Latin America is low among priority risk groups, ranging from 5 to 75% among older people. This paper aims to describe and analyze the determinants of influenza vaccination hesitancy through the lens of the 3C model of confidence, complacency and convenience among middle-class, urban risk group populations in Brazil, Chile, Paraguay, Peru, Uruguay, countries in South America with contrasting vaccination coverage. Focus groups were conducted among four risk groups: pregnant women, mothers of children aged <6 years, adults with risk factors, and adults aged ≥60 years in samples of urban residents. Adults with risk factors expressed the most detailed perceptions about confidence in the vaccine. A wide range of perceptions regarding complacency were expressed across risk groups and countries, with pregnant women and mothers showing greater concerns while convenience had a narrower and generally more positive range of perceptions. Participants from Chile and Paraguay expressed the most contrasts regarding confidence and complacency. Information and communication strategies need to be tailored for risk groups while confidence and complacency should be addressed in synergy.

Effect of total body water estimates via bioimpedance on bod pod-based three-compartment body fat models.

Previous research has compared 2- and 3-compartment (2C and 3C, respectively) models against criterion 4-compartment (4C) models while utilizing the same body density (Db) method for all measures. This design induces an inherent bias and obscures the added benefit of a 3C model over the simpler 2-compartment (2C) models. The purpose of this study was to determine the effect of total body water estimates via single-frequency (SF-BIA) and multi-frequency (MF-BIA) bioimpedance analysis on body fat estimates derived from air displacement plethysmography (ADP)-derived 3C models. A sample of 95 females and 82 males (n = 177) participated in this study. Underwater weighing, dual energy X-ray absorptiometry, and bioimpedance spectroscopy were used to calculate percent fat (%Fat) via a criterion 4C model (4CCRITERION). %Fat was predicted via 3CMFBIA (ADP and MF-BIA), 3CSFBIA (ADP and SF-BIA), and a stand-alone 2-compartment (2C) model, based upon ADP, when using Siri and Brozek body density conversion formulas (2CSIRI and 2CBROZEK. respectively). The standard error of estimate (SEE) was lowest for 3CSFBIA when evaluated in females and males (2.72% and 2.31%, respectively) and highest for 2CSIRI (3.98% and 3.84%, respectively). Similarly, the total error (TE) for females and males was lowest for 3CSFBIA (3.21% and 2.67%, respectively) and highest for 2CSIRI (4.58% and 4.48%, respectively) and 2CBROZEK (4.65% and 4.33%, respectively). Results suggest that SF-BIA and MF-BIA can improve the estimation of %Fat, beyond simpler 2C models, when integrated with ADP in a more advanced 3C model. Furthermore, the present study revealed that 3CSFBIA was the best overall prediction model based upon TE values. The current study results support the integration of ADP and bioimpedance technology as part of a 3C model for the improvement of %Fat estimates over simpler 2C models.

Non-EPI Vaccine Hesitancy among Chinese Adults: A Cross-Sectional Study

Vaccination against coronavirus disease 2019 (COVID-19) is paramount to curtailing the pandemic. However, the impact of the Non-Expanded Program on Immunization (non-EPI) and COVID-19 vaccine hesitancy on vaccine uptake among Chinese adults remain unclear. This study was an online survey performed in Eastern, Central, and Western China between February 2021 and March 2021 using proportional sampling (n = 7381). Adults aged ≥ 18 years were included, especially younger people (aged < 65). Vaccine hesitancy was assessed using the 3C model and relative scales; logistic regression was used to explore the factors affecting vaccination uptake; structural equation modeling was used to evaluate the correlations between variables. Overall, 67.6% and 24.7% of adults reported vaccine hesitancy toward the non-EPI and COVID-19 vaccines, respectively. Participants (66.3%) reported taking the vaccine mainly based on recommendations from medical staff. Vaccine-hesitant participants (60.5%) reported a fear of side effects as the deciding factor in vaccine rejection. Vaccine hesitancy interacted negatively with confidence (β = −0.349, p < 0.001) and convenience (β = −0.232, p < 0.001), and positively with complacence (β = 0.838, p < 0.001). Nonmedical personnel, adults who had previously received the influenza vaccine, and older people had lower vaccine hesitancy than their counterparts. Most Chinese adults have non-EPI but not COVID-19 vaccine hesitancy. Vaccine safety remains a concern.

How body composition techniques measure up for reliability across the age-span

Reliability of body composition measurement techniques is essential to the accurate reporting of intervention outcomes. However, the between-day precision error of commonly used techniques, as well as the reference multi-compartment model, in a population-representative sample are currently unknown. To quantify technical and biological precision error of body composition techniques in comparison to the referent 4-compartment (4C) model. Men and women (1:1 ratio; 18-85 years old; n=90) completed 2 consecutive-day body composition testing sessions, including individual components of the referent 4C model. Testing was undertaken in accordance with best practice guidance for each technique, including standardized presentation and a consistent time of day. Repeat measurements were conducted on day 1 for technical precision, and between-day measurements were conducted for biological precision quantification. On average, all measurements met acceptable error limits and presented typically low technical and biological error [<2% fat-free mass (FFM) and<3% fat mass (FM) precision error]. For technical precision of FFM, all techniques met a priori cut points (80%; CV=0.45-0.81%). For FM, all techniques were equivalent to the best-rating method on average (CV=0.78-1.35%), except air displacement plethysmography (CV=2.13%). For biological precision, only 3-compartment (3C) and 4C equations sufficiently met the a priori determined cut point for estimates for FFM (CV=0.77-0.79%), and only DXA met the 80% cut point (CV=1.17%) for FM. The primary purpose of a study design is imperative when deciding on body composition assessment techniques used for longitudinal measurements. If reliable longitudinal assessments of FFM are central, a 3C or 4C model may be indicated. If FM is a primary outcome, DXA may be preferable. However, considering the low error rates presented within the current study across a broad age span of healthy adults with implementation of best-practice guidelines, any technique assessed here may be used, provided that strict protocols are adhered to.