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Anaemia is characterised by low hemoglobin (Hb) concentration. Despite being a public health concern in Ethiopia, the role of micronutrients and non-nutritional factors as a determinant of Hb concentrations has been inadequately explored. This study focused on the assessment of serum micronutrient and Hb concentrations and a range of non-nutritional factors, to evaluate their associations with the risk of anaemia among the Ethiopian population (n 2046). It also explored the mediation effect of Zn on the relation between se and Hb. Bivariate and multivariate regression analyses were performed to identify the relationship between serum micronutrients concentration, inflammation biomarkers, nutritional status, presence of parasitic infection and socio-demographic factors with Hb concentration (n 2046). Sobel–Goodman test was applied to investigate the mediation of Zn on relations between serum se and Hb. In total, 18·6 % of participants were anaemic, 5·8 % had iron deficiency (ID), 2·6 % had ID anaemia and 0·6 % had tissue ID. Younger age, household head illiteracy and low serum concentrations of ferritin, Co, Cu and folate were associated with anaemia. Serum se had an indirect effect that was mediated by Zn, with a significant effect of se on Zn (P < 0·001) and Zn on Hb (P < 0·001). The findings of this study suggest the need for designing a multi-sectorial intervention to address anaemia based on demographic group.

The COVID-19 pandemic has affected every stratum of the population and all categories of households to varying degrees. The impact of the pandemic on the quality of life (QoL) of populations is complex and can vary by region, socio-economic status, and other demographic factors. The main purpose of this study was to empirically examine the effects of pandemic trauma on the QoL of households in Saudi Arabia. Primary data from 506 households in different regions were collected through online surveys and estimated using descriptive statistics, analysis of variance (ANOVA), statistical regression techniques, and ordered Probit analysis. It was found that the QoL of Saudi households dropped significantly due to the COVID-19 crisis. Demographically, there were significant differences in the impact of COVID-19 on QoL. Low-income households, large households, male-led households, urban households, households living in the central and western regions, households with head unemployment or low educational attainment, and households with elderly head reported greater QoL declines. The findings emphasize the significance of generating on-the-ground survey data to track the well-being of households during the crisis to accumulate the information required to construct evidence-based policy responses. This study makes a significant contribution to the literature on the impact of COVID-19 by providing additional evidence of the pandemic’s impact at the household level. The study paints a grim picture of the effects of COVID-19, as it was carried out at a time when the coronavirus was spreading, millions were dying or fighting it in healthcare centers, and lockdowns were imposed throughout the world.

Aims: The Finnish alcohol law was reformed in January 2018. The availability of alcoholic beverages in grocery stores increased as the legal limit for retail sales of alcoholic drinks was raised from 4.7% to 5.5% alcohol, and the requirement of production by fermentation was abolished. We analysed how the inclusion of strong beers, ciders, and ready-to-drink beverages in grocery stores was reflected in alcohol purchases, and how these changes differed by age, sex, level of education and household income. Design: The study sample included 47,066 loyalty card holders from the largest food retailer in Finland. The data consisted of longitudinal, individual-level information on alcohol purchases from grocery stores, covering the time period between 1 January 2017 and 31 December 2018. The volumes of absolute alcohol during a calendar year from beers, ciders, ready-to-drink beverages, and in total, were calculated. Alcohol purchases in 2017 and 2018 were compared. Results: There was no overall change in the total alcohol (0.04 [95% CI −0.03, 0.11] litres/year) or beer purchases (−0.05 [95% CI −0.11, 0.02] litres/year). Purchases of ready-to-drink beverages increased by 0.10 [95% CI 0.09, 0.11] litres/year (+ 84%). Total alcohol purchases increased in the three highest income groups, whereas they decreased in the two lowest groups (p for the interaction < 0.0001). Conclusions: The increased purchases of alcohol as ready-to-drink beverages were, on the average, compensated for by a decrease in purchases of other alcoholic beverages. Higher prices probably limited the purchases among lower income groups and younger consumers, while the increase was sharper in higher income groups.

The paper offers an analysis of socio-demographic factors determining uptake of COVID-19 vaccine in Russia in 2021. The study focuses in particular on the role of mandatory vaccination of workers in certain sectors of the economy. The study is empirically based on three rounds of a nationally representative telephone survey, conducted in February–October 2021, which investigated the situation and behaviour of a cross section of the Russian adult population in the context of the spread of coronavirus. The paper shows that the key factors behind vaccine uptake are age and education of the individual. People in older age groups and people with higher education are most inclined towards vaccination. By contrast, young people and people with low levels of education are least likely to be vaccinated. Other significant determinants of vaccination are experience of COVID-19 infection (self or a household member) and elderly or chronically ill members of the household. Among the employed, the economic sector where they work is an important determinant: workers in education, health care, and state and municipal administration are more likely to be vaccinated. The introduction of mandatory vaccination at a firm/organization with sanctions for unvaccinated employees has significant positive effect: the likelihood of an employee being vaccinated increases by 10 percentage points. The effect of mandatory vaccination is slightly greater for men than for women.

Despite major breakthroughs in facial recognition technology, problems with bias and a lack of diversity still plague face recognition systems today. To address these issues, we created synthetic face data using a diffusion-based generative model and fine-tuned already-high-performing models. To achieve a more balanced overall performance across various races, the synthetic dataset was created by following the dual-condition face generator (DCFace) resolution and using race-varied data from BUPT-BalancedFace as well as FairFace. To verify the proposed method, we fine-tuned a pre-trained improved residual networks (IResnet)-100 model with additive angular margin (ArcFace) loss using the synthetic dataset. The results show that the racial gap in performance is reduced from 0.0107 to 0.0098 in standard deviation terms, while the overall accuracy increases from 96.125% to 96.1625%. The improved racial balance and diversity in the synthetic dataset led to an improvement in model fairness, demonstrating that this resource could facilitate more equitable face recognition systems. This method provides a low-cost way to address data diversity challenges and help make face recognition more accurate across different demographic groups. The results of the study highlighted that more advanced synthesized datasets, created through diffusion-based models, can also result in increased facial recognition accuracy with greater fairness, emphasizing that these should not be ignored by developers aiming to create artificial intelligence (AI) systems.

Background and Objectives: The coronavirus disease 2019 (COVID-19) preventive measures affected various aspects of people’s lives, while also representing an important risk factor for people’s mental health. In the present study, we examined the negative psychological consequences of the preventive measures on people’s mental health and the protective factors that strengthened their mental health and well-being during the pandemic. Materials and Methods: A study, using a combination of qualitative and quantitative methods based on a Delphi protocol, was conducted with a sample of Slovenian professionals who worked with people from different demographic groups (i.e., children and adolescents, emerging adults, the adult working population, the elderly) during the pandemic. We conducted (i) a qualitative study involving semi-structured interviews with 11 professionals and (ii) a quantitative study where 73 professionals completed a structured online questionnaire. Results: Experts recognized the disruption of informal face-to-face social contacts as the measure with the greatest impact on people’s lives across all groups studied, the effect being particularly evident in relation to individuals’ development period and socio-demographic characteristics. An individual’s ability to adapt to change and emotional support provided by family or other close persons contributed significantly to maintaining mental health and well-being during the pandemic. Conclusions: Considering the interplay of various COVID-19-related risk and protective factors for mental health, enabling and promoting the maintenance and development of social relationships (including through alternative pathways) should be a priority aspect of (mental health) intervention for all demographic groups.

We investigated the population dynamics of the spider crab Libinia ferreirae, focusing on the frequency distribution of individuals in size classes, sex ratio and the action of environmental variables (temperature, salinity, texture and organic matter content in the sediment) on reproduction and recruitment. Monthly collections were made in the Ubatuba region from January 1998 to December 2000. A total of 222 individuals were collected, including 123 juveniles (males and females), 43 adult males, 25 non-ovigerous adult females and 31 ovigerous females. Unlike most adult brachyurans, there was no significant size difference between sexes, and sexual dimorphism seems to be a varying characteristic for this crab genus. The reproductive period and recruitment were continuous with peaks that could be related to water mass dynamics and higher food availability in the Ubatuba region. In addition, our results increase knowledge about part of the life cycle of L. ferreirae, which could be useful for comparative studies.

Technological advancements alone, without addressing public responses to social changes cannot ensure inclusive and sustainable smart city transitions as cities and societies comprise diverse individuals and communities with varied socio-demographic backgrounds. Thus, this research investigates social responses to smart city transitions aiming to understand individuals’ social reactions to the changes across diverse socio-demographic profiles, and identify socio-demographic group-specific change management strategies to enhance public engagement and minimise resistance during the transition. Through a questionnaire survey using multivariate analysis, correlations between socio-demographic profiles and social reactions are identified. Age and frustration showed a positive correlation indicating that elderly individuals express greater concerns about unfamiliar smart technologies. Weak negative correlations emerged between income levels and transition-related stress including shock, frustration and depression. Significant differences were revealed between income groups (AUD 126,000+ and below AUD 90,000) associated with job security due to smart technologies and digital automation. Improving digital proficiency through free local government-led training, and reinforcing the benefits of digitally transformed urban environments through timely technical support were identified as the most essential change management strategies. Thus, this research will contribute to enabling local governments and policymakers to have practical insights in developing socially inclusive and community-centric transition plans with minimised social resistance.

Children who possess less self-regulatory skill are at a disadvantage when compared to children who demonstrate greater skill at regulating their emotions, cognitions and behavior. Children with these regulatory deficits have difficulty connecting with peers, generating relationships with teachers, negotiating their social world, and succeeding academically. By understanding the correlates of self-regulatory abilities, interventions can be developed to ensure that children at-risk for poor self-regulation receive the support necessary to enhance their regulatory skills. Using data from a nationally representative survey of English-speaking American parents with children between the ages of two and eight ( n  = 1,141), we evaluated a host of demographic and parenting variables to isolate the correlates of self-regulation. Older children were found to have fewer regulatory problems than younger children while children from low-income homes and male children were found to have greater problems with self-regulation. Minority status, household composition (single vs multi-parent), and parental education were not significant correlates of self-regulation. Findings also illustrate the powerful relationship between parenting style and self-regulation. Parents who rely on nurturing parenting practices that reinforce the child’s sense of autonomy while still maintaining a consistent parenting presence (i.e., authoritative parenting) have children who demonstrate stronger self-regulatory skills. Parents who exert an excess of parental control (i.e., authoritarian parents) have children with weaker self-regulatory skills. And lastly, parents who have notable absence of control (i.e., permissive parents) are more likely to have children with considerable regulatory deficits. Results offer implications for both practitioners and scholars.

Background The Pandemic Anxiety Inventory (PAI) was developed in the context of the COVID-19 pandemic. Its content allows it to assess anxiety in connection to any pandemic. Previous research has demonstrated the instrument’s reliability and validity. An important question for clinicians and researchers, however, remains open: Does the PAI have similar meaning for members of different demographic groups? The finding of measurement invariance would allow clinicians and researchers to comparatively assess pandemic-related anxiety across demographic groups, including favored and disfavored groups. Methods We conducted a multi-group confirmatory factor analysis to assess the measurement invariance of the PAI using data obtained from a sample of 379 residents of the United Kingdom. Results The PAI demonstrated invariance across genders, age groups, individuals who are married or in a relationship and those who are not, as well as individuals with higher and lower incomes. In an ancillary analysis, we found invariance across subsamples of Whites and Nonwhites, although we note that the Nonwhite group was small ( n  = 60) and heterogeneous. The findings of a supplemental MIMIC analysis were consistent with the above. Conclusions The PAI shows measurement invariance across a variety of demographic groups. Our findings suggest that the instrument can be meaningfully employed to compare pandemic-related anxiety across these groups.