Demographic Measures Research Articles

Dopamine in major depressive disorder: A systematic review and meta-analysis of in vivo imaging studies.

Major depressive disorder (MDD) is a leading cause of global disability. Several lines of evidence implicate the dopamine system in its pathophysiology. However, the magnitude and consistency of the findings are unknown. We address this by systematically reviewing in vivo imaging evidence for dopamine measures in MDD and meta-analysing these where there are sufficient studies. Studies investigating the dopaminergic system using positron emission tomography or single photon emission computed tomography in MDD and a control group were included. Demographic, clinical and imaging measures were extracted from each study, and meta-analyses and sensitivity analyses were conducted. We identified 43 studies including 662 patients and 801 controls. Meta-analysis of 38 studies showed no difference in mean or mean variability of striatal D2/3 receptor availability (g = 0.06, p = 0.620), or combined dopamine synthesis and release capacity (g = 0.19, p = 0.309). Dopamine transporter (DAT) availability was lower in the MDD group in studies using DAT selective tracers (g = -0.56, p = 0.006), but not when tracers with an affinity for serotonin transporters were included (g = -0.21, p = 0.420). Subgroup analysis showed greater dopamine release (g = 0.49, p = 0.030), but no difference in dopamine synthesis capacity (g = -0.21, p = 0.434) in the MDD group. Striatal D1 receptor availability was lower in patients with MDD in two studies. The meta-analysis indicates striatal DAT availability is lower, but D2/3 receptor availability is not altered in people with MDD compared to healthy controls. There may be greater dopamine release and lower striatal D1 receptors in MDD, although further studies are warranted. We discuss factors associated with these findings, discrepancies with preclinical literature and implications for future research.

Effects of videoconferencing use on momentary changes in disordered eating urges, body dissatisfaction, and mood.

The coronavirus disease 2019 (COVID-19) pandemic led to a global surge in videoconferencing use for work/study-related reasons. Although these platforms heighten exposure to one's image, the implications of videoconferencing use on body image and eating concerns remain scantly examined. This study sought to investigate, in an Australian sample, whether videoconferencing for work/study-related reasons predicted increases in body dissatisfaction (BD), urge to engage in disordered eating (DE; restrictive eating, exercise, overeating/purging), and negative mood at the state level. Participants (N=482, 78.8% women, Mage =20.5years [SD=5.3]) completed baseline demographic measures, accompanied by an ecological momentary assessment (EMA) of videoconferencing for work/study-related reasons, BD, DE urges, and negative mood six times a day for 7days via a smartphone application. Most participants (n=429; 89.0%) reported state-based videoconferencing use during the EMA phase. Consistent with expectations, state-based videoconferencing use was associated with an increase in state-level urges to engage in exercise. However, contrary to predictions, state-based videoconferencing use was linked to a decrease in state-level BD at the next assessment point and failed to predict negative mood and urges to engage in restrictive eating or overeating/purging at the state level. Given the simplified measure of videoconferencing use, the current research is considered preliminary and future replication and extension, using more nuanced measures, is warranted.

The COVID-19 Pandemic: Changes in Parent–Child Activities at Home from Spring 2020 to Spring 2021 from a Cross-Cultural View

This study explored young children’s (2–8 years old) daily activities during the first lockdown with the outbreak of the COVID-19 pandemic (spring/2020, T1) and a year later (spring/2021, T2) from a cross-cultural perspective. It describes parent–child literacy and digital activities in Bulgaria, Israel, and Spain. Participating parents (747 in T1 and 432 in T2) answered online questionnaires about the frequency of parent–child literacy activities (alphabetic, book reading, and play) and digital activities (joint activities, selecting content, scaffolding) and the child’s screen time. The findings indicated moderate parent–child literacy and digital activities during the time points. A series of ANCOVAs revealed differences between time periods and cultures beyond the demographic measures (child’s age, parent’s education and age, and family size). During the first lockdown, parent–child joint digital activities and the child’s screen time were higher than a year later. A year later, parents were more involved in book reading, literacy play activities, and scaffolding their children’s use of digital devices. Interactions between the period and culture showed that Bulgarian and Spanish parents were more involved in their children’s literacy and digital activities than Israeli parents. Spanish children had more independent screen time than Bulgarian and Israeli children. Associations between literacy and digital activities implied a consistent parenting style across the activities.

Position: A study protocol for the prevention of fall injuries in french special forces selection courses using a body-centered intervention.

The Military Physical and Sports Training program was developed by the French Army in order to train, optimize, and maintain individual readiness. Although the health benefits of sport practice do not need to be demonstrated, such activities can cause acute musculoskeletal injuries that need to be addressed. The prevalence of lower limb injury is rather high in the French military population and, in particular, ranges from 15 to 45% during Special Forces selection courses. Thus, this project aims to investigate the efficiency of a body-centered program designed to enhance body awareness. The program seeks to train the mind to actively pay attention to body information, while the latter is viewed as a protective factor against fall injuries. We assume: (i) that postural control can be improved by enhancing the level of body awareness; and (ii) that greater postural awareness could be beneficial in reducing the risk of fall injuries. The body-centered prevention program is based on the Optimization of the Resources of the Armed Forces (ORAF) intervention, which focuses on mental preparation and recovery, and has been deployed in the French Army for many years. The study focuses on five French Special Forces selection courses (400 soldiers/ participants). It is divided into two stages (year 1, year 2). The first year is dedicated to data collection from the control group (200 participants), while in the second year the ORAF intervention will be deployed. In both year, participants will be subjected to the same enrollment schedule (Fig 3). The main objective is to evaluate the effectiveness of the ORAF intervention in reducing the rate of fall injuries during military selection, based on a multidisciplinary method that captures demographic, biological, biometric, clinical, and para-clinical measures. Registration number: IDRCB number 2021-A02108-33, Clinical Trial: NCT05451394.

Association of dietary patterns of pregnant women with pregnancy outcomes: A hospital-based study.

Diet is one of the main factors influencing pregnancy outcomes. Maternal and child health both seem to be related to dietary patterns. So far, no study on dietary pattern has been performed on pregnant women and its association with pregnancy outcomes in Rasht. Therefore, the present study aimed to investigate the association between dietary patterns and pregnancy outcomes in Rasht. In this cross-sectional study, 300 healthy pregnant women were included from three public hospitals in Rasht. Data on demographic, dietary intake, physical activity (PA), and anthropometric measurements of mothers were recorded. Outcomes of newborns were also gathered. Dietary patterns were identified using principal component analysis. General linear model was used for data analysis. Prior to pregnancy, only 40% of women had a normal body mass index (BMI). More than half of them (52.3%) had a gestational weight gain in excess of the guidelines. The dominant dietary patterns among pregnant women were traditional, Western, and healthy, respectively. High adherence to the Western pattern had a direct association with gestational weight gain (B = 1.48, p = .046) and inverse association with birth length (B = -0.71, p = .043). However, the results did not remain significant after adjusting for covariates. The present study indicated that several factors can affect the association of the Western diet with pregnancy outcomes. Therefore, making policies for interventional programs to improve maternal lifestyle factors along with their diet quality is recommended.

Conspiracy thinking and the long historical shadow of Romanticism on authoritarian politics.

Similar effect sizes have been reported for the effects of conspiracy, pseudoscientific, and paranormal beliefs on authoritarian attitudes, which points to a conceptual problem at the heart of the conspiracy literature, namely lack of clarity as to what uniquely defines conspiracy beliefs and whether those unique elements contribute distinctly to authoritarian ideologies. To our knowledge, this is the first study to test empirically the predictive power of variance unique to each construct against covariance shared among these constructs when predicting authoritarian and anti-democratic attitudes. Online survey was administered to 314 participants in 2021 that included a battery of demographic and psychological measures. Hierarchical factor models were used to isolate unique variance from shared covariance among responses to items representing conspiracy, paranormal and pseudoscientific beliefs. Structural equation models were used to test their unique and shared effects on authoritarian and anti-democratic attitudes. We found that our combined measurement model of paranormal thinking, conspiracism, and pseudoscience exhibited exceptional model fit, and that each construct was strongly predictive of both SDO and RWA (r = 0.73-0.86). Once the shared covariance was partitioned into a higher order factor, the residual uniqueness in each first order factors was either negatively related or unrelated to authoritarian and anti-democratic attitudes. Moreover, the higher order factor explained the gross majority of variance in conspiracy (R2 = 0.81) paranormal (R2 = 0.81) and pseudoscientific (R2 = 0.95) beliefs and was a far stronger predictor (β = 0.85, p < 0.01) of anti-democratic attitudes than political partisanship (β = 0.17, p < 0.01). Strong partisan identifiers of both parties showed much higher romanticism scores than party moderates. When predicting authoritarian and anti-democratic attitudes, we found no empirically unique contributions of conspiracy beliefs. Instead, we found that a shared factor, representing a 'romantic' mindset was the main predictor of authoritarian and anti-democratic attitudes. This finding potentially explains failures of interventions in stopping the spread of misinformation and conspiracy theories. Conspiracy theory researchers should refocus on the shared features that conspiracy thinking has with other unwarranted epistemic beliefs to better understand how to halt the spread of misinformation, conspiracy thinking, anti-science attitudes, and even global authoritarianism.

The profile of patients with undiagnosed type 2 diabetes mellitus in urban communities, South Trinidad, 2019–2020

Aim: The aim is to profile patients with undiagnosed type 2 diabetes (T2D) mellitus in urban communities in South Trinidad, 2019–2020. Settings and Design: This cross-sectional study took place in grocery stores and malls in urban communities, in South Trinidad, from November 2019 to January 2020. Subjects and Methods: Adults between the ages of 40–60, body mass index ≥23 kg/m2; undiagnosed with T2D, and who gave informed consent were enrolled in the study, through convenience sampling (n = 86). The main outcome measures were glycemic states that were assessed using glycated hemoglobin clinical cut points of &lt;5.7%, 5.7%–6.4%, and ≥6.5%. Differences in demographic, socio-economic, risk factors, and clinical measurements among glycemic states were compared using Chi-square test for categorical data and one-way ANOVA for continuous nonparametric data. Results: Eighty-six participants were included in the analysis: 54.7% were normoglycemic; 33.7% prediabetic and 11.6% were newly diagnosed diabetics. The mean (standard deviation) age was 50.36 (6.36), with more females (77.91%) and East Indians (56.98%). Hypertension was the most common comorbidity seen, 29.07%. Sixty percent of persons had a first-degree family history of T2D mellitus. At high risk for developing a chronic noncommunicable disease: 67.44% of females with a waist:hip ratio &gt;0.85 and 19.77% of males with a waist:hip ratio &gt;0.9. Alcohol consumption was linked to higher glycemic states (P = 0.045). However, no statistically significant correlations were found between all other risk factors assessed and glycemic states. Conclusion: There were no statistically significant associations for risk factors, except for alcohol consumption, among glycemic states.

Accuracy of Sonographic Airway Parameters in Difficult Laryngoscopy Prediction: A Prospective Observational Cohort Study from Central India.

Though airway ultrasonography (USG) is used to assess difficult laryngoscopy (DL), there is still ambiguity about approach followed and parameters assessed. There is need of a simple, stepwise sonographic assessment with clearly defined parameters for DL prediction. The primary objective of this study was to find diagnostic accuracy of sonographic parameters measured by a stepwise Airway-USG in DL prediction (DLP). This prospective, observational cohort study was done in 217 elective surgical adult patients administered general anaesthesia with tracheal intubation using conventional laryngoscopy from 1st May 2019 to 31st July 2020, after ethical approval. A sagittal Airway-USG was done using 2-6 Hz transducer in three steps specifying probe placement and head position. Demographic, clinical and Airway-USG measurements were noted. Correlation of the clinical/sonographic parameters was made with Cormack-Lehane score on DL. After receiver operating characteristic curve plotting, the sensitivity, specificity, positive predictive value, negative predictive value (NPV) of DL was calculated for each parameter using open-epi software. DL was observed in 19/217 patients. Airway-USG parameters of skin to epiglottis distance >2.45 cm, hyomental distance with head extension <5.13 cm, head neutral <4.5 cm, their ratio <1.18, maximum tongue thickness >3.93 cm and maximum skin to tongue distance >5.45 cm were statistically significant in predicting DL. DLP score with presence of >3 positive parameters showed 98% specificity, 98% NPV and 96% diagnostic accuracy to predict DL. DLP score derived from Airway-USG may be used as a screening and diagnostic tool for DL.

Regional differences in fertility rates in real generations in Russia (according to the 2020 population census)

Studies on birth rate regularities in Russia in the context of the task of ensuring reproduction of the population remain relevant. Assessment of the scale and trends in regional differentiation using the method of calculating birth rates in real generations of women makes it possible to obtain a more reliable picture of the ongoing processes, to assess the reproductive potential and target groups for the most effective implementation of demographic policy measures. The article presents results of calculations of fertility rates in real generations of women for all regions of the Russian Federation in line with the 2020 population census. The analysis has identified significant differences in the scale and patterns of fertility in the generations of women in the Russian regions. In 34 constituent entities of the Russian Federation, the difference (in one direction or another) between places in rows in terms of the average number of children born to women aged 40-44 (according to the 2020 population census) and the total fertility rate (2021 data) exceeds 10 places. The potential is best realized in the national republics, while in the regions of Central Russia small families prevail. The prognostic possibilities of using the expected numbers of children are proved, and the use of the total fertility rate indicator as a target for the Russian average indicators was validated. Interregional differentiation is significantly higher for the third birth, which is confirmed by the calculated coefficient of variation.

Демографическое образование – важнейший фактор социально-экономического и демографического развития региона

The article is devoted to substantiating the importance of demographic education and raising the level of awareness of the population about the current demographic situation and its expected negative consequences. At the same time, public opinion is formed in support of the demographic policy measures of the country or individual regions. The need for such studies is due to the insufficient consideration of demographic issues in the development and implementation of program documents. Science and practice have proved that an important tool of socio-economic and demographic development is the demographic expertise of legislative acts and program documents regulating certain spheres of the national economy. For its high-quality implementation, specialists of various profiles with demographic knowledge are needed. The article draws attention to the existing regional and professional imbalance in the teaching of demographic cycle disciplines in Russian universities. The article draws attention to the existing regional and professional imbalance in teaching the disciplines of the demographic cycle in Russian universities. The paper analyzes the results of research by a number of authors on the problems of demographic education and the demographic development of Russia, including collective research carried out by recognized research centers, such as the A. G. Vishnevsky Institute of Demography of the Higher School of Economics, the Center for the Study of Population Problems of the Faculty of Economics Moscow State University named after M.V. Lomonosov, Coordinating Center for the Development of Personnel Potential in the Field of Demography of the Institute for Demographic Research of the Federal Research Sociological Center of the Russian Academy of Sciences. When writing the article, the results of sociological studies conducted by major research centers were also analyzed: the Institute of the Public Opinion Foundation, the Levada Center and others. We support the idea of the expediency of widespread implementation of the educational module program “Fundamentals of Demography”, especially in multidisciplinary higher educational institutions and faculties of the humanities in Russia and its regions.

Coping, Supports and Moral Injury: Spiritual Well-Being and Organizational Support Are Associated with Reduced Moral Injury in Canadian Healthcare Providers during the COVID-19 Pandemic.

Healthcare providers (HCPs) have described the onset of shame- and trust-violation-related moral injuries (MI) throughout the COVID-19 pandemic. Previous research suggests that HCPs may turn to various coping methods and supports, such as spirituality/religiosity, substance use, friends/family or organizational support, to manage workplace stress. It remains unknown, however, if similar coping methods and supports are associated with MI among this population. We explored associations between MI (including the shame and trust-violation presentations individually) and coping methods and supports. Canadian HCPs completed an online survey about their mental health and experiences during the COVID-19 pandemic, including demographic indices (e.g., sex, age, mental health history) and measures of MI, organizational support, social support, spiritual well-being, self-compassion, alcohol use, cannabis use and childhood adversity. Three hierarchical multiple linear regressions were conducted to assess the associations between coping methods/supports and (i) MI, (ii) shame-related MI and (iii) trust-violation-related MI, when controlling for age, mental health history and childhood adversity. One hundred and seventy-six (N = 176) HCPs were included in the data analysis. Spiritual well-being and organizational support were each significantly associated with reduced total MI (p's < 0.001), shame-related MI (p = 0.03 and p = 0.02, respectively) and trust-violation-related MI (p's < 0.001). Notably, comparison of the standardized beta coefficients suggests that the association between trust-violation-related MI and both spiritual well-being and organizational support was more than twice as great as the associations between these variables and shame-related MI, emphasizing the importance of these supports and the trust-violation outcomes particularly. Mental health history (p = 0.02) and self-compassion (p = 0.01) were additionally related to shame-related MI only. Our findings indicate that heightened levels of spiritual well-being and organizational support were associated with reduced MI among HCPs during the COVID-19 pandemic. Rather than placing sole responsibility for mental health outcomes on HCPs individually, organizations can instead play a significant role in mitigating MI among staff by implementing evidence-informed organizational policies and interventions and by considering how supports for spiritual well-being may be implemented into existing models of care where relevant for employees.

Alexithymia and Impulsivity in Combat Sports - A Tale of Three Measures.

The purpose of this study was to compare the psychometric properties of two measures of alexithymia - the Toronto Alexithymia Scale (TAS-20) and the Perth Alexithymia Questionnaire (PAQ) - as well as the Barratt Impulsiveness Scale 11 measure of behavioural impulsivity because the psychometric properties of these scales have not been established in athletes. As part of a larger study, 298 participants completed an online survey that included the TAS-20, PAQ, and BIS 11, as well personal- (age and gender) and sport-specific (primary combat sport and level of competition) demographic measures. A unidimensional model was retained for the TAS-20. A unidimensional model with the possibility of multidimensional measure was retained for the PAQ, with the viability of a subscale for Generalised Externally Orientated Thinking supported. The only versions of the BIS that were retainable were unidimensional models for the BIS-15 (a 15-item version of the BIS 11) and the BIS-Brief (an 8-item version of the BIS 11). As expected, the measures of alexithymia were highly correlated. The associations between impulsivity and alexithymia as well as age and alexithymia were small in nature, with none these associations moderated by level of gender, level of competition, or primary sport for the participants. No differences in alexithymia or impulsivity according to gender, level of competition, or primary sport were noted for the participants. Implications of these findings for the measures of alexithymia - the TAS-20 and PAQ - and impulsivity - the BIS-15 and BIS-Brief - examined in the present study with athletes (as well as with other populations) are discussed.

Quantifying Patient-Initiated Upper Extremity Movement After Surgical Reconstruction for Adult Pan-Brachial Plexus Injury.

Determining functional recovery in adult patients with traumatic pan-brachial plexus injury (pBPI) is hampered by the fact that most outcome measures are collected in the clinical setting and may not reflect arm use in the real world. This study's objectives were to demonstrate the feasibility of using wearable motion sensor technology to quantify spontaneous arm movement in adult patients with pBPI after surgical reconstruction and report the time and intensity with which the affected arm was used. Twenty-nine patients with pBPI who underwent surgical reconstruction at least 2 years prior were included in this study. Study participants wore an accelerometer on bilateral arms for 7 days. The vector time (VT) and magnitude with which each arm moved were collected and divided by the same values collected from the uninjured arm to generate a ratio (VT and vector magnitude [VM], respectively) to quantify differences between the arms. Correlations between VT, VM, and patient demographic and physician-elicited clinical measures were calculated. Patients were enrolled at Chang Gung Memorial Hospital, Linkou Medical Center, Taiwan, and data analysis was performed at the University of Michigan. Twelve patients had pan-avulsion injuries, and 17 patients had C5 rupture with C6-T1 avulsion injuries. All underwent nerve reconstruction with contralateral C7 or ipsilateral C5 nerve roots as donors. At mean 7.3 years after surgery, the mean VT ratio was 0.54 ± 0.13 and the mean VM ratio was 0.30 ± 0.13. Both VT and VM ratios were significantly correlated with patient employment and movements at the elbow and forearm. Wearable motion detection technology can capture spontaneous, real-world movements of the arm in patients who have undergone surgical reconstruction for pBPI. Despite severe injuries, these patients are able to use their affected arm 50% of the time and with 30% of the intensity of their unaffected arm, which is positively correlated with return to work after injury. These data support the use of surgical reconstruction for pBPI.

Changes in China’s demographic policy in 2010–2021

The demographic situation in China at the end of the 20th — beginning of the 21st centuries was characterized by transformations concerning both the general dynamics of the population, and the changes in the age, gender, and educational structures. At the beginning of the 21st century, China’s demographic policy measures evolved significantly. The main objective of this study is to identify the priority directions of demographic policy including support for the birth rate at the present stage. The article presents results of the analysis of the main demographic indicators, proposes a typology of the factors of the current demographic situation including historical, ideological and material backgrounds. The second part of the artivle provides an analysis of the main measures aimed at supporting the birth rate at the country level as a whole, and in separate provinces. The analysis is based on the regulatory documents concerning the birth rate policy in China in the period from 2010 to 2021, as well as the data from the National Bureau of Statistics of China. It is shown that during the past decade in China the family planning and birth control have been replaced by an active policy of stimulating the birth rate. Financial instruments play an important role in shaping the main areas of birth support. In addition, much attention is paid by the state to the issue of expanding the childcare infrastructure, educational institutions, creating preferential conditions for women with children in the field of employment, etc.

Effect of weight change on the association between overall and source of carbohydrate intake and risk of metabolic syndrome: Tehran lipid and glucose study

BackgroundIn this prospective cohort study, we aimed to evaluate the association between dietary carbohydrates, whole grains, refined grains, and simple sugar with the risk of metabolic syndrome (MetS) and assess the effect of weight change on these associations.MethodsThis study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS). We included 1915 healthy participants with complete demographic, anthropometric and dietary measurements, among whom 591 developed MetS during 8.9 years of follow-up. Intake of dietary carbohydrates, whole grains, refined grains, and simple sugar was assessed with a validated semi-quantitative food frequency questionnaire. Multivariable adjusted Cox regression was used to estimate hazard ratios (HRs) for MetS events across tertiles of dietary variables. Using joint classification, the effect of weight change on the association between dietary variables and risk of MetS was assessed by Cox regression.ResultsCarbohydrate intake was not associated with the risk of MetS in multivariable-adjusted models. Whole grains intake was inversely associated with the risk of MetS (HR: 0.78, CI: 0.63–0.98), while this association disappeared after adjustment for weight change. The risk of MetS increased by 11% (1.11, 1.09–1.14) for each 3% energy increment from simple sugar, and by 5% (1.05, 1.03–1.08) for each 1 serving/day increment in refined grains. Consumption of refined grains increased the risk of MetS; an effect modification of this association was found by weight change. Among subjects with weight loss, intake of refined grains < median intake decreased the risk of MetS (0.59, 0.41–0.87). However, consumption of refined grains ≥ median intake increased the risk of MetS in individuals with weight gain (1.47, 1.08–2.01). Simple sugar was positively associated with an increased risk of MetS, after adjustment for weight change (3.00, 2.37–3.82). In joint classification, intake of simple sugar greater than median intake increased the risk of MetS, independent of weight change.ConclusionOur findings suggest an effect modification by weight change on the association between carbohydrates, and refined grains intake and the risk of MetS. Weight loss along with lower consumption of carbohydrates, and refined grains reduced the risk of MetS. However, simple sugar intake, regardless of weight change, was associated with an increased risk of MetS.

A novel non-invasive method for predicting bone mineral density and fracture risk using demographic and anthropometric measures

Fractures are costly to treat and can significantly increase morbidity. Although dual-energy x-ray absorptiometry (DEXA) is used to screen at risk people with low bone mineral density (BMD), not all areas have access to one. We sought to create a readily accessible, inexpensive, high-throughput prediction tool for BMD that may identify people at risk of fracture for further evaluation. Anthropometric and demographic data were collected from 492 volunteers (♂275, ♀217; [44 ​± ​20] years; Body Mass Index (BMI) = [27.6 ​± ​6.0] kg/m2) in addition to total body bone mineral content (BMC, kg) and BMD measurements of the spine, pelvis, arms, legs and total body. Multiple-linear-regression with step-wise removal was used to develop a two-step prediction model for BMC followed by BMC. Model selection was determined by the highest adjusted R2, lowest error of estimate, and lowest level of variance inflation (α ​= ​0.05). Height (HTcm), age (years), sexm=1, f=0, %body fat (%fat), fat free mass (FFMkg), fat mass (FMkg), leg length (LLcm), shoulder width (SHWDTHcm), trunk length (TRNKLcm), and pelvis width (PWDTHcm) were observed to be significant predictors in the following two-step model (p ​< ​0.05). Step1: BMC (kg) = (0.006 3 × HT) ​+ ​(−0.002 4 × AGE) ​+ ​(0.171 2 × SEXm=1, f=0) ​+ ​(0.031 4 × FFM) ​+ ​(0.001 × FM) ​+ ​(0.008 9 × SHWDTH) ​+ ​(−0.014 5 × TRNKL) ​+ ​(−0.027 8 × PWDTH) - 0.507 3; R2 ​= ​0.819, SE ​± ​0.301. Step2: Total body BMD (g/cm2) = (−0.002 8 × HT) ​+ ​(−0.043 7 × SEXm=1, f=0) ​+ ​(0.000 8 × %FAT) ​+ ​(0.297 0 × BMC) ​+ ​(−0.002 3 × LL) ​+ ​(0.002 3 × SHWDTH) ​+ ​(−0.002 5 × TRNKL) ​+ ​(−0.011 3 × PWDTH) ​+ ​1.379; R2 ​= ​0.89, SE ​± ​0.054. Similar models were also developed to predict leg, arm, spine, and pelvis BMD (R2 ​= ​0.796–0.864, p ​< ​0.05). The equations developed here represent promising tools for identifying individuals with low BMD at risk of fracture who would benefit from further evaluation, especially in the resource or time restricted setting.

Human biomonitoring and reference values of urinary 1-hydroxypyrene among Iranian adults population.

Polycyclic aromatic hydrocarbons (PAHs) are one of the most important environmental pollutants. Urinary concentrations of 1-hydropyren metabolites of PAHs have been used as biomarkers of these chemicals' exposure in humans. This cross-sectional study was conducted on 468 healthy Iranian adults over 25 years old and non-smokers in six provinces who were selected based on the clustering method. Fasting urine sampling and body composition and demographic measurements were performed. Urine samples were analyzed by GC-MS. The analysis included descriptive statistics and analytical statistics using multiple linear regression by Python software. 1-Hydroxypyrene was found in 100% of samples, and the mean (Reference Value 95%) concentration of 1-hydroxypyrene was 6.12 (RV 95%: 20) μg/L and 5.95 (21) μg/gcrt. There was a direct relationship between the amount of body composition (body fat, visceral fat), BMI, and age with the urinary concentrations of 1-hydropyren metabolites, and this relationship was significant for BMI with urinary concentrations of 1-hydropyren metabolites (P = 0.045). The amount of 1-hydroxypyrene in healthy Iranian adults has been higher than in similar studies in other countries. These results provide helpful information regarding the exposure of Iranian adults to 1-hydroxypyrene, and these data can be used to supplement the national reference values of human biomonitoring for the interpretation of biomonitoring results.

Vaccine hesitancy for COVID19: what is the role of statistical literacy?

Vaccination is an important measure used to control the spread of COVID19. The estimation of risk versus benefit of vaccination is based on the understanding of information about the vaccine. Statistics are frequently part of communications about COVID19. Individuals that do not have an adequate foundation of statistical knowledge may not be able to properly assess associated risks and benefits. This study aims to assess the association between statistical literacy and hesitation to receive the COVID19 vaccine. A nationally representative sample of 2,138 adults, recruited through CINT United States, Inc., (Lawrenceville, NJ; http://www.cint.com), completed an internet survey in the summer of 2021. This survey collected demographic measures and information about COVID19 vaccination status. The competency of respondents on various basic statistical concepts was assessed along with the corresponding confidence of respondents in their answers. A multivariable logistic regression model was constructed to assess the relationship between vaccine hesitancy and statistical literacy while controlling for covariates of interest. Statistical literacy was found to have a negligible association with COVID19 vaccine hesitancy (OR 1.01; 95% CI 1.00-1.02). In addition, differences in the proportion receiving the COVID19 vaccine between political affiliations, income levels, race groups, and ethnicities were observed. The statistical knowledge of the general American public is not commensurate with the need to be literate in basic statistical concepts in the data-driven world in which we live. An effective way to stem vaccine hesitancy may rely on increased statistical knowledge to not be biased by preconceived beliefs shaped by misinformation.

Predictors of performance and perceived fatigability in people with multiple sclerosis

ABSTRACT Background and Objective Fatigability is a distinct construct from fatigue that has been reported to contribute to activity limitations in people with multiple sclerosis (PwMS). Identifying predictors of performance and perceived fatigability may guide the development of interventions to mitigate fatigability. This study investigated predictors of performance and perceived fatigability among PwMS. Methods PwMS (N = 51) completed self-report measures of demographics, clinical history, symptoms severity (Modified Fatigue Impact Scale), and functioning (PROMIS Physical Function and PROMIS Cognitive Function Abilities). Performance fatigability measures included Ambulatory Fatigue Index (AFI), Deceleration Index (DI), and Distance Walking Index (DWI). Perceived fatigability measures included Pittsburgh Fatigability Scale (PFS), Perceived Physical Exertion, and Perceived Fatigue Intensity. Performance and perceived fatigability measures were calculated based on the Timed 25-Foot Walk Test and the 6-Minute Walk Test. Results Multivariable linear regression analyses indicated that PROMIS Cognitive Function was a significant independent predictor of performance fatigability measured with AFI (β = -0.515, p = 0.007), DI (β = -0.511, p = 0.008), and DWI (β = -0.516, p = 0.007). Regarding perceived fatigability, PROMIS Pain Intensity predicted Perceived Fatigue Intensity (β = 0.325, p = 0.035). PROMIS Physical Function predicted PFS Mental fatigability (β = -0.503, p < 0.001). PROMIS Physical Function (β = -0.619, p < 0.001) and Cognitive Function (β = -0.249, p = 0.037) predicted PFS Physical fatigability. Conclusions Preliminary findings suggest that self-reported functioning levels, including physical and perceived cognitive function, are potential predictors of performance and perceived fatigability in MS. Notably, perceived fatigue impact showed no association with performance or perceived fatigability. Future studies are warranted to confirm and extend our findings.

Preliminary race-ethnicity-based analyses of fall risk among people with multiple sclerosis.

Mounting evidence suggests differences in the disease characteristics of multiple sclerosis (MS) across ethnic and racial groups. Although it is widely recognized that falls are a significant concern for people with MS (PwMS), no study has explored if the fall risk is related to race/ethnicity in PwMS. The primary purpose of this pilot study was to examine whether the risk of falls is different between age-matched White, Black, and Latinx PwMS. Fifteen White, 16 Black, and 22 Latinx, age-matched ambulatory PwMS were selected from previous studies. Demographic and disease information, the fall risk (annual fall prevalence, proportion of recurrent fallers, and the number of falls) in the preceding year, and a battery of fall risk factors (including the disability level, gait speed, and cognition) were compared between race/ethnicity groups. The fall history was gathered using the valid fall questionnaire. The disability level was assessed by the Patient Determined Disease Steps score. Gait speed was measured using the Timed 25-Foot Walk test. The short Blessed Orientation-Memory-Concentration test evaluates participants' cognitive function. SPSS 28.0 was used for all statistical analyses and a significance level of 0.05 was applied. Among the demographic measurements, age (p=0.052), sex (p=0.17), body mass (p=0.338), age at diagnosis (p=0.623), and disease duration (p=0.280) were comparable across groups while the body height was significantly different between racial groups (p < 0.001). Binary logistic regression analysis did not detect a significant relationship between the faller status and racial/ethnic group (p=0.571) after controlling the body height and age. Similarly, the recurrent faller status was not associated with our participants' race/ethnicity (p=0.519). There was no difference in the number of falls in the past year between racial groups (p=0.477). The fall risk factors of disability level (p=0.931) and gait speed (p=0.252) were similar among the groups. However, the White group had a significantly better Blessed Orientation-Memory-Concentration score than the Black (p=0.037) and Latinx (p=0.036) groups. No significant difference in the Blessed Orientation-Memory-Concentration score was observed between the Black and Latinx groups (p=0.857). As the initial attempt, our preliminary study suggests that the annual risk of being a faller or recurrent faller may not be affected by PwMS' race/ethnicity. Similarly, the physical functions (quantified by the Patient Determined Disease Steps and the gait speed) are comparable between racial/ethnic groups. However, the cognitive function may differ among age-matched racial groups of PwMS. Given the small sample size, caution is warranted when interpreting our findings. Despite the limitations, our study provides pilot knowledge about how race/ethnicity affects the fall risk in PwMS. Due to the limited sample size, it is too soon to definitively conclude that race/ethnicity has ignorable impacts on fall risk in PwMS. Further studies with larger sample sizes and more fall risk metrics are needed to clarify the effects of race/ethnicity on fall risk in this population.