Sociodemographic characteristics and their association with survival in women with cervical cancer.

BACKGROUND: In 2020, the highest incidence and mortality from cervical cancer (CC) were detected in low and middle-income countries. CC remains a health problem for women living in them. In Mexico, CC ranks second in cancer incidence and mortality in women. The main characteristics of this population are low income, low educational level, and inadequate medical coverage. The present study characterized the Mexican population by CC, and the sociodemographic variables that impacted overall survival (OS) were identified. METHODS: A retrospective study that included a cohort of patients with a confirmed diagnosis of CC at the Instituto Nacional de Cancerologia between 2003 and 2016. Information was collected on sociodemographic variables related to the disease and OS. RESULTS: Four thousand six hundred thirty-one patients were included. The median age was 51 years, 78.5% were unemployed, 44.4% lived in a rural/suburban area, 50.8% had a partner when collecting this information, and 74.3% were classified as having low socioeconomic status. Age, living in a rural/suburban area, more advanced stages of the disease, and not receiving cancer treatment were associated with lower OS. CONCLUSION: CC continues to affect mainly women with minimal resources, low educational levels, and living in marginalized areas. These characteristics influence the OS. Prevention and timely detection programs, education, and training focused on this population and with broader coverage are required to identify patients with CC at earlier stages.

MTF1 genetic variants are associated with lung cancer risk in the Chinese Han population.

BACKGROUND: Metal-regulatory transcription factor 1 (MTF1), a conserved metal-binding transcription factor in eukaryotes, regulates the proliferation of cancer cells by activating downstream target genes and then participates in the formation and progression of tumors, including lung cancer (LC). The expression level of MTF1 is down-regulated in LC, and high expression of MTF1 is associated with a good prognosis of LC. However, the association between MTF1 polymorphism and LC risk has not been explored. METHODS: The genotyping of MTF1 Single nucleotide polymorphisms (SNPs) including rs473279, rs28411034, rs28411352, and rs3748682 was identified by the Agena MassARRAY system among 670 healthy controls and 670 patients with LC. The odds ratio (OR) and 95% confidence intervals (CI) were calculated by logistics regression to assess the association of these SNPs with LC risk. RESULTS: MTF1 rs28411034 (OR 1.22, 95% CI 1.03-1.45, p = 0.024) and rs3748682 (OR 1.24, 95% CI 1.04-1.47, p = 0.014) were associated with higher LC susceptibility overall. Moreover, the effect of rs28411034 and rs3748682 on LC susceptibility was observed in males, subjects with body mass index (BMI) ≥ 24 kg/m2, smokers, drinkers, and patients with lung squamous carcinoma (OR and 95% CI > 1, p < 0.05). Besides, rs28411352 (OR 0.73, 95% CI 0.55-0.97, p = 0.028,) showed protective effect for reduced LC risk in drinkers. CONCLUSIONS: We were first who reported that rs28411034 and rs3748682 tended to be relevant to increased LC susceptibility among the Chinese Han population. These results of this study could help to recognize the pathogenic mechanisms of the MTF1 gene in LC progress.

Demographic characteristics and mental health condition of Tehran Municipality employees during the COVID-19 pandemic.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a global health issue with various effects on the physical and mental state of the societies. The aim of this study was to identify the demographic characteristics and mental health condition of Tehran Municipality employees during the COVID-19 pandemic. METHODS: This cross-sectional study was performed on Tehran Municipality employees in 2020-2021. Participants were selected using stratified random sampling and were divided into COVID-19 and uninfected groups. Demographic characteristics, COVID-19 risk behaviors, General Health Questionnaire-28 (GHQ-28), and Well- Being Social Inventory were filled for all participants. RESULTS: A total of 510 participants (363 uninfected participants and 147 participants with COVID-19) were evaluated. The prevalence of female gender was significantly higher in COVID-19 group compared to uninfected group (p < 0.001). There was a significant difference between groups in terms of education level (p < 0.001), prevalence of excess weight (p < 0.001), and working sector (p < 0.001). The uninfected group mainly had low contact with clients (p < 0.001) and few underlying diseases (p = 0.004) compared to the COVID-19 group. The mean GHQ-28 and Well- Being Social Inventory were significantly higher in the uninfected group compared to the COVID-19 group (p = 0.002 and p < 0.001, respectively). The prevalence of no and low contact level was significantly higher in the high infection cluster compared to moderate and low infection clusters (p = 0.024). CONCLUSIONS: The findings of this study indicated that all workers should be educated about the significance of social distancing and follow the recommendations regardless of their level of contact with clients.

Trends in statin use for the primary prevention of atherosclerotic cardiovascular disease among US adults by demographic characteristics, 1999-2020.

PURPOSE: Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of mortality worldwide. Statins, which are effective in preventing ASCVD, are underused, particularly for primary prevention. This study examined trends in statin use for primary ASCVD prevention from 1999 to 2020, focusing on demographic variations. METHODS: Utilizing data from the National Health and Nutrition Examination Survey, the present study includes individuals aged 18 years and older who had a greater than 10% risk of ASCVD over 10 years, and excluded patients with existing ASCVD. Subgroup analyses by demographic categories were performed. We calculated the changes in statin usage and used linear and quadratic tests to assess the linear and nonlinear trends in those changes. RESULTS: A total of 10,037 participants were included. Statin usage increased from 16.16% in 1999 to 36.24% in 2010, and 41.74% in 2020 (quadratic P-value < 0.001). In the 18-44 years age group, statin usage increased from 2.52% in 1999 to 8.14% in 2020 (linear P-value = 0.322), showing no significant linear trend. In the "never-married" group, statin usage increased from 19.16% in 1999 to 30.05% in 2020 (linear P-value = 0.256). CONCLUSION: Statin usage has shown a positive trend among populations requiring primary prevention for ASCVD. Currently, health policies are proving effective. However, the overall statin usage rate remains less than 50%. Additionally, young and never-married individuals should also receive special attention regarding statin usage as primary treatment for ASCVD.

Machine learning thermal comfort prediction models based on occupant demographic characteristics.

This study aims to investigate the predictive occupant demographic characteristics of thermal sensation (TS) and thermal satisfaction (TSa) as well as to find the most effective machine learning (ML) algorithms for predicting TS and TSa. To achieve this, a survey campaign was carried out in three mixed-mode buildings to develop TS and TSa prediction models by using six ML algorithms (Logistic Regression, Naïve Bayes, Decision Tree (DT), Random Forest (RF), K-Nearest Neighborhood (KNN) and Support Vector Machine). The prediction models were developed based on six demographic characteristics (gender, age, thermal history, education level, income, occupation). The results show that gender, age, and thermal history are significant predictors of both TS and TSa. Education level, income, and occupation were not significant predictors of TS, but were significant predictors of TSa. The study also found that RF and KNN are the most effective ML algorithms for predicting TS, while DT and RF are the most effective ML algorithms for predicting TSa. The study found that the accuracy of TS prediction models ranges from 83% to 99%, with neutral being the most correctly classified scale. The accuracy of TSa prediction models ranges from 84% to 97%, with dissatisfaction being the most common misclassification.

[Analysis of food carbon footprint and its socio-demographic disparities in China in 2018].

OBJECTIVE: To analyze food carbon footprint and its socio-demographic disparities among adults in China. METHODS: A total of 12 777 adults aged 18 years and above from the China Health and Nutrition Survey in 2018 who have completed dietary and socio-demographic data were analyzed. The information of food intake were collected by 24 h recalls combined with the weighing of household seasonings. Food consumption was converted into energy intake by the China Food Composition Table. Carbon footprint of 26 food groups were calculated by the food carbon footprint database based on life-cycle assessment(LCA), multinomial logit model was used to analyze the association of socio-demographic factors and food carbon footprint. RESULTS: Average food carbon footprint were decreased with increasing age while increased with increasing income and education levels, and was higher among male than that among female, was higher among urban residents than that among rural residents, was higher in the south than that in the north. Multinomial logit analysis showed that compared with people aged 18-44, the likelihood of occurring high carbon footprint in 60y and above group were 29%(OR=0.71, 95%CI 0.61-0.83) lower than that occurring low carbon footprint. Women were 11%(OR=0.89, 95%CI 0.81-0.99) and 25%(OR=0.75, 95%CI 0.67-0.84) less likely to appear medium and high carbon footprint than low carbon footprint, compared with their male counterparts. In comparison to people living in cities, rural dwellers were 24%(OR=0.76, 95%CI 0.69-0.85) and 38%(OR=0.62, 95%CI 0.55-0.70) less likely to appear medium and high carbon footprint than low carbon footprint. People in the south were 3.89 times(95%CI 3.52-4.30) and 11.35 times(95%CI 10.01-12.88) more likely to occur medium and high carbon footprint than low carbon footprint, compared with people in the north. Participants were more likely to occur medium carbon footprint and high carbon footprint with the increasing income level(OR>1), and were more likely to occur high carbon footprint with the increasing education level(OR>1). CONCLUSION: The food carbon footprint of adults in China in 2018 show different socio-demographic disparities, gender, income and education level are significant factors.

Assessment of socio-demographic characteristics and social status of patients with negative symptoms in schizophrenia at different stages of the disease.

OBJECTIVE: Aim: To determine the features of socio-demographic characteristics of patients with negative symptoms of schizophrenia. PATIENTS AND METHODS: Materials and Methods: 252 patients with negative symptoms of schizophrenia took part in the study: 83 patients with the first episode of schizophrenia, 88 patients with schizophrenia in a state of exacerbation, and 81 patients with schizophrenia in a state of remission. During the research, a comprehensive approach was used, which consisted in the use of clinical-psychopathological, clinical-anamnestic and statistical research methods. RESULTS: Results: Socio-demographic characteristics of patients with negative symptoms in schizophrenia were established. Among patients with the first episode of schizophrenia, the majority were of 20-29 years old, mostly with secondary education, unmarried, with a mental labor, with low and average levels of a material well-being, poor and satisfactory living conditions. Among patients with negative symptoms of schizophrenia in an exacerbation state, the majority was of persons of 30-49 years old, with a special secondary education, mostly divorced, with a disability, with a low and extremely low level of material well-being, with poor and very poor living conditions prevailed. Among patients with negative symptoms of schizophrenia in a state of remission, there was a predominance of persons of 30-39 and 50-60 years old, with a special secondary education, divorced, mainly with a physical labor, with a low and average level of material well-being and poor living conditions. CONCLUSION: Conclusions: The obtained data can be used to establish diagnostic criteria for patients with negative symptoms in schizophrenia, depending on the dynamics of the disease.

[The social, demographic and professional characteristics of general practitioners and district therapists of state and private sectors of health care].

The article presents comparative analysis of demographic, social and professional characteristics of general practitioners and district therapists in state and private medical organizations. Sociological, statistical and analytical research methods were applied. The study was carried out on the basis of polyclinics of both Moscow Health Department and Moscow private health care sector. The sampling consisted of 399 questionnaires subjected to statistical processing. It is established that in state and private medical organizations, in this group of physicians prevail women 36-55 years old, born in the Russian Federation, in Moscow, married, having children and assessing one's income level as average. Most of them received their higher education in Moscow, graduated residency in therapy and have no medical category or academic degree. The professional experience consists 10 years or more. All physicians in state polyclinics hold more than one position and in private polyclinics 8.6% of physicians are underemployment. In the state sector, paternalistic model of communication with patient is preferable, in the private sector - a collegiate one. In the state sector, the collegiate management style of CEO is convenient and in the private sector - collegiate or dynamic one. In both sectors, adhocratic organizational culture is comfortable. Against the background of readiness to proceed working in current conditions, work in another sector is not excluded. The material factor is considered as main driver of professional motivation. The social, demographic and professional characteristics of general practitioners and district physicians in both sectors of health care in the main are similar, but have their own characteristics.

Basic demographic characteristics and prevalence of comorbidities in acute mesenteric ischemia: a systematic review and proportional meta-analysis.

PURPOSE: The aim of this systematic review and meta-analysis was to examine and assess the basic demographic characteristics and prevalence of comorbidities in acute mesenteric ischemia (AMI) and its various subtypes. PATIENTS AND METHODS: A literature search was conducted by using the databases PubMed, EMBASE, and Google Scholar (to June 1, 2022). Random-effects or fixed-effects models were selected to pool means and proportions and their corresponding 95% confidence intervals (CI), based on heterogeneity between studies. The results of meta-analyses for basic demographic characteristics and prevalence (proportions) of each specific comorbidities of acute mesenteric ischemia (AMI) and its various subtypes were described. RESULTS: Ninety-nine studies were included in the meta-analysis, including 17,103 patients with AMI. Furthermore, 7941 patients with subclass diagnoses of AMI were identified, including 3,239 patients with arterial occlusive mesenteric ischemia (AOMI), 2,977 patients with nonocclusive mesenteric ischemia (NOMI), and 1,725 patients with mesenteric venous thrombosis (MVT). As a surgical emergency, AMI is associated with older patients and a high likelihood of multisystem comorbidities. Comorbidities of AMI involved multiple systemic diseases, including cardiovascular disease, endocrine and metabolic diseases, kidney diseases, digestive diseases, respiratory diseases, cerebrovascular diseases, vascular diseases, and cancer. CONCLUSION: The basic demographic characteristics and the prevalence of comorbidities of different subtypes of AMI are different. The management of comorbidities should be an essential part of improving the prognosis of AMI patients and may contribute to precise prevention of AMI.

Predictors of Participation for Sexuality Items in a U.S. Population-Based Online Survey.

Online surveys are a popular tool in sex research and it is vital to understand participation bias in these surveys to improve inferences. However, research on this topic is limited and out of date given the increase in online survey methodology and changes in sexual attitudes. This study examined whether demographics and sexual abuse and assault history predict opting into online survey questions about sex. The sample was recruited for a longitudinal mental health study using a probability-based sampling panel developed to represent the US household population. Participants were masked to the inclusion of sexual content and given a choice to opt into sex questions. Analyses were run on raw and weighted responses to adjust for sampling bias. Of the total sample (n = 476, 62.6% female), 69% opted into sex questions. Raw analysis showed that participants were more likely to be younger, have higher education and income, and have a history of sexual abuse or assault. No racial, gender, relationship status, or regional differences were found. After weighting, effect sizes were reduced for most predictor variables, and only a history of sexual abuse or assault still significantly predicted participation. Results suggest that key demographic features do not have a strong association with participation in sex survey questions. Reasons for participation bias stemming from sexual abuse or assault history should be examined further. This study demonstrates how researchers should continue to monitor participation bias in sex survey research as online methodologies and sexual attitudes evolve over time.

Influence of distance to health facilities on clinical breast cancer screening behaviour among women in five sub-Saharan African countries.

BACKGROUND: Regular breast screening is one of the most effective ways to detect early signs of breast cancer but travel distance to cancer-diagnostic facilities can affect breast screening attendance. Yet, limited studies have examined the impact of distance to cancer-diagnostic facilities on clinical breast screening behaviour among women in sub-Saharan Africa (SSA). This study examined the influence of travel distance to a health facility on clinical breast screening behaviour in five SSA countries: Namibia, Burkina Faso, Cote D'Ivoire, Kenya, and Lesotho. The study further assessed variations in clinical breast screening behaviour across diverse socio-demographic characteristics of women. METHODS: A sample of 45,945 women was drawn from the most recent Demographic and Health Surveys (DHS) for the included countries. The DHS uses 2-stage stratified cluster sampling to select nationally representative samples of women (15-49) and men (15-64) via a cross-sectional design. Proportions and binary logistic regression were used to examine associations between the women's socio-demographic characteristics and breast screening attendance. RESULTS: The overall proportion of survey participants who underwent clinical breast cancer screening was 16.3%. Travel distance to a health facility had a significant (p < 0.001) impact on clinical breast screening behaviour as 18.5% of participants who self-reported distance as "not a big problem" attended clinical breast screening compared to 10.8% who self-reported distance as "a big problem". The study further found that various socio-demographic factors were significantly associated with breast cancer screening uptake, including age, education level, media exposure, wealth status, parity, contraceptive use, health insurance coverage, and marital status. The multivariate analysis controlling for other factors confirmed the strong association between distance to health facilities and screening uptake. CONCLUSIONS: The study found that travel distance is a significant factor affecting clinical breast screening attendance among women in the selected SSA countries. Furthermore, the likelihood of breast screening attendance varied depending on different women's characteristics. It is crucial to prioritise breast screening interventions, particularly among the disadvantaged women identified in this study, to achieve maximum public health benefits.

Socio-demographic characteristics associated with COVID-19 vaccination uptake in Switzerland: longitudinal analysis of the CoMix study.

BACKGROUND: Vaccination is an effective strategy to reduce morbidity and mortality from coronavirus disease 2019 (COVID-19). However, the uptake of COVID-19 vaccination has varied across and within countries. Switzerland has had lower levels of COVID-19 vaccination uptake in the general population than many other high-income countries. Understanding the socio-demographic factors associated with vaccination uptake can help to inform future vaccination strategies to increase uptake. METHODS: We conducted a longitudinal online survey in the Swiss population, consisting of six survey waves from June to September 2021. Participants provided information on socio-demographic characteristics, history of testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), social contacts, willingness to be vaccinated, and vaccination status. We used a multivariable Poisson regression model to estimate the adjusted rate ratio (aRR) and 95% confidence intervals (CI) of COVID-19 vaccine uptake. RESULTS: We recorded 6,758 observations from 1,884 adults. For the regression analysis, we included 3,513 observations from 1,883 participants. By September 2021, 600 (75%) of 806 study participants had received at least one vaccine dose. Participants who were older, male, and students, had a higher educational level, household income, and number of social contacts, and lived in a household with a medically vulnerable person were more likely to have received at least one vaccine dose. Female participants, those who lived in rural areas and smaller households, and people who perceived COVID-19 measures as being too strict were less likely to be vaccinated. We found no significant association between previous SARS-CoV-2 infections and vaccination uptake. CONCLUSIONS: Our results suggest that socio-demographic factors as well as individual behaviours and attitudes played an important role in COVID-19 vaccination uptake in Switzerland. Therefore, appropriate communication with the public is needed to ensure that public health interventions are accepted and implemented by the population. Tailored COVID-19 vaccination strategies in Switzerland that aim to improve uptake should target specific subgroups such as women, people from rural areas or people with lower socio-demographic status.

The Effects of COVID-19 Pandemic Lockdowns on Alcohol Consumption and Tobacco Smoking Behaviour in South Africa: A National Survey.

INTRODUCTION: During the first phase of the coronavirus (COVID-19) pandemic lockdowns in South Africa (SA), both alcohol and tobacco were considered non-essential goods and their sales were initially prohibited and further restricted to certain days and timeframes. This study investigates self-reported changes in alcohol consumption and tobacco smoking behaviour in the general population during the COVID-19 pandemic lockdowns in SA. METHODS: A cross-sectional national survey was conducted in October 2021 (before the Omicron wave 4 and while SA was in low-level lockdown) among 3,402 nationally representative respondents (weighted to 39,640,674) aged 18 years and older. Alcohol consumption and tobacco use were assessed from the beginning of the lockdown towards the end of March 2020 until October 2021 using the WHO-AUDIT and the US Centre for Disease Control (CDC) Global Adult Tobacco Survey questionnaires, respectively. RESULTS: Among those that drank alcohol (33.2%), 31.4% were classified as having a drinking problem that could be hazardous or harmful and 18.9% had severe alcohol use disorder during the COVID-19 lockdowns. Twenty-two per cent (22.0%) of those that reported alcohol consumption reported that the COVID-19 pandemic lockdowns changed their alcohol consumption habits, with 38.1% reporting a decreased intake or quitting altogether. Among the one in five respondents (19.2%) who had ever smoked, most reported smoking at the time of the survey (82.6%) with many classified as light smokers (87.8%; ≤10 cigarettes/day). Almost a third (27.2%) of those smoking reported that the COVID-19 pandemic lockdowns had changed their use of tobacco products or vaping, with 60.0% reporting a reduction/quitting tobacco use. Given that sales were restricted this indicates that people could still get hold of tobacco products. Heavy smoking was associated with older age (p = 0.02), those classified as wealthy (p < 0.001), those who started or increased tobacco smoking during the pandemic lockdowns (p = 0.01) and residential provinces (p = 0.04). CONCLUSION: Given restrictions on the sale of alcohol and tobacco in SA between 27 March and August 17, 2020, during the pandemic, respondents reported an overall decline in alcohol consumption and tobacco use which might suggest that the regulatory restrictive strategies on sales had some effect but may be inadequate, especially during times where individuals are likely to experience high-stress levels. These changes in alcohol consumption and tobacco use were different from what was reported in several European countries, possibly due to differences in the restrictions imposed in SA when compared to these European countries.

Organophosphorus flame retardants and their metabolites in paired human blood and urine.

Organophosphorus flame retardants (OPFRs) have been shown to be carcinogenic, neurotoxic, and endocrine disruptive, so it is important to understand the levels of OPFRs in human body as well as the modes of external exposure. In this study, we investigated the levels of 13 OPFRs and 7 phosphodiester metabolites in paired human blood and urine, as well as the influencing factors (region, age and gender), and studied the relationship between OPFRs and oxidative stress by urinary metabolites. We found that the concentrations of triphenyl phosphate (TPhP) and tris-(2-ethylhexyl) phosphate (TEHP) in the blood of urban populations were higher than those of rural populations, and that younger populations suffered higher TPhP and 2-ethylhexyl diphenyl phosphate (EHDPP) exposures than older populations. In addition, we found that tris-(2-chloroethyl) phosphate (TCEP), tributyl phosphate (TnBP), TPhP and EHDPP exposure induced oxidative stress. The results of the internal load principal component analysis indicated that dust ingestion, skin exposure, respiration and dietary intake may be the most important sources of TCEP, tris(2-butoxyethyl) phosphate (TBOEP), tri(2-chloroisopropyl) phosphate (TCIPP) and TEHP, respectively, and dust ingestion and skin exposure may be the main sources of TPhP for humans.

Effects of candidates' demographics and evaluation of the virtual Multiple Mini Interview (vMMI) as a tool for selection into paediatric training in Queensland.

INTRODUCTION: The Queensland Basic Paediatric Training Network (QBPTN) is responsible for the selection of candidates into paediatric training in Queensland. The COVID-19 pandemic necessitated interviews to be conducted 'virtually' as virtual Multiple-Mini-Interviews (vMMI). The study aimed to describe the demographic characteristics of candidates applying for selection into paediatric training in Queensland, and to explore their perspectives and experiences with the vMMI selection tool. METHODOLOGY: The demographic characteristics of candidates and their vMMI outcomes were collected and analysed with a mixed methods approach. The qualitative component was comprised of seven semi-structured interviews with consenting candidates. RESULTS: Seventy-one shortlisted candidates took part in vMMI and 41 were offered training positions. The demographic characteristics of candidates at various stages of selection were similar. The mean vMMI scores were not statistically different between candidates from the Modified Monash Model 1 (MMM1) location and others [mean (SD): 43.5 (5.1) versus 41.7 (6.7), respectively, p = 0.26]. However, there was a statistically significant difference (p value 0.03) between being offered and not offered a training position for candidates from MMM2 and above. The analysis of the semi-structured interviews suggested that candidate experiences of the vMMI were influenced by the quality of the management of the technology used. Flexibility, convenience, and reduced stress were the main factors that influenced candidates' acceptance of vMMI. Perceptions of the vMMI process focused on the need to build rapport and facilitate communication with the interviewers. DISCUSSION: vMMI is a viable alternative to face-to-face (FTF) MMI. The vMMI experience can be improved by facilitating enhanced interviewer training, by making provision for adequate candidate preparation and by having contingency plans in place for unexpected technical challenges. Given government priorities in Australia, the impact of candidates' geographical location on the vMMI outcome for candidates from MMM >1 location needs to be further explored.

Factors associated with abuse in the workplace in Bangladesh: An empirical investigation.

Workplace abuse is a much-discussed global phenomenon in the world of work. Bangladesh, being a developing country that relies heavily on its labor resource, should have definite methods to protect the workers' rights and safety. Unfortunately, weak frameworks are in place to prevent it, and the lack of awareness among the workers is helping the problem to establish its roots more firmly. Despite the gravity of workplace abuse and its consequences, comprehensive studies for addressing or understanding the problem at a national level is difficult to find in the context of Bangladesh. Using the latest nationally representative survey namely the Quarterly Labour Force Survey (QLFS) 2016-17, this study attempts to bridge the existing gaps through an empirical investigation of the factors associated with workplace abuse in Bangladesh. A total of 16,646 participants with males of 75.9% and females of 24.1% are used for the analysis. A probit model analysis has been applied in this paper to explore how the workers' demographic and socioeconomic characteristics, as well as workplace features, may be associated with experiencing abuse in the workplace. The study finds that younger, less educated, females, elementary job-holders, non-governmental organization workers or those who work in the manufacturing, or services sector are more likely to be abused in the workplace. The study also concludes that the number of workers employed, and the hazardous workplace environment may be related to the probability of being abused. Furthermore, this study shows that full-time workers, workers who are employed temporarily or have an oral contract may face abuse in the workplace more.

The spectrum of inborn errors of immunity: a single tertiary center retrospective study in Alborz, Iran.

Summary: Background. Inborn errors of immunity (IEIs) are a group of heterogeneous disorders with inherited faults in the immune system that increase susceptibility to infections, malignancies, lymphoproliferation, and autoimmune/autoinflammatory disorders. Methods. We retrospectively studied the demographic characteristics, clinical features, and immunological profiles of the 90 IEIs patients, who were diagnosed and classified according to the European Society for Immunodeficiencies (ESID) and International Union of Immunological Societies (IUIS) criteria from July 2010 to June 2021. The study was carried out in the Non-communicable Diseases Research Center, Imam Ali Hospital, Alborz, Iran. Results. Within a period of 11 years, 53 (58.9%) males and 37 (41.1%) females were diagnosed and followed up for 20 IEI disorders. The median (IQR) age of onset, age of clinical diagnosis and diagnostic delay was 0.7 (0.08-2.0), 3.18 (1.0-8.0) and 1.5 (0.17-5.0) years, respectively. Twelve patients (36.4%) had a positive family history of IEI, and the majority of patients (84.5%) had recurrent infections. Pneumonia (51.7%) was the most common clinical manifestation among IEI patients, followed by skin complications (46.2%). The most frequently diagnosed IEI was immunoglobulin A deficiency (IgAD) (14.4%) and severe combined immunodeficiency (SCID) (11.1%). Predominantly antibody deficiencies group (36.7%) was the most common category, followed by combined immunodeficiencies with associated or syndromic features group (27.8%). Conclusions. IEIs have different patterns within populations with high consanguinity. There is a need to search for underlying genetic and epigenetic factors in most common IEIs in Alborz.

Other-regarding preferences in pro-environmental behaviours: Empirical analysis and policy implications of organic and local food products purchasing in Italy.

This paper investigates the link between organic and local food products purchasing as pro-environmental behaviours, and "other-regarding preferences", such as altruism, intrinsic motivation and self-image, which is measured through individuals' environmental concerns, volunteering, participation in ecological associations and pro-social behaviours. Using the Italian data from the Multipurpose survey on households "Aspects of daily life" conducted in 2019, and bivariate probit models, this paper shows that environmental egoistic and altruistic concerns, volunteering in formal organizations and participation in ecological associations are positively correlated with the purchase of more organic and local food products. Higher pro-social behaviours correlate positively with the purchase of more local products and negatively with the purchase of more organic products. Furthermore, higher education and better household economic conditions are strongly correlated with the purchase of more organic products, while participation in cultural activities is positively associated with the purchase of more organic and local food products.

COVID-19 and Family Distancing Efforts: Contextual Demographic and Family Conflict Correlates.

Since the COVID-19 outbreak, family members have spent more time together at home. This study introduces the concept of "family distancing"-the efforts to prevent the spread of the coronavirus to family members. We explore which demographic characteristics are associated with family distancing efforts and how the family distancing efforts are associated with family conflicts. Survey data were collected from adults (N = 324, M = 37 years; SD = 10.5 years; 65.1% female) in Korea. We found that gender, education, marital status, physical health status, and number of family members who live together were significantly associated with family distancing efforts. In addition, lower compliance with the request for family distancing was significantly associated with a higher degree of negative emotions (i.e., anger), which in turn was associated with more family conflict. The findings highlight the potential importance of family distancing efforts to maintain health but also their potential to increase family conflict.

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience.

COVID-19 restrictions imposed significant changes on human mobility patterns, with some studies finding significant increases or decreases in cycling. However, to date there is little understanding on how the neighbourhood-level built environment influenced cycling behaviour during the COVID-19 restrictions. As different neighbourhood have different built environment characteristics, it is possible that cycling trends varied across different built environment settings. We aimed to answer this question by examining recreational cycling during different stages of lockdown in Melbourne, Australia. We compared self-reported recreational cycling frequency (weekly) data from 1344 respondents between pre-COVID and two different stages in lockdown. We tested whether the built environment of their residential neighbourhood and different sociodemographic characteristics influenced leisure cycling rates and whether the effect of these factors varied between different stages of COVID-19 restriction. We found that cycling declined significantly during the two stages of COVID-19 lockdown. Cycling infrastructure density and connectivity are two built environment factors that had a significant effect on limiting the decline in leisure cycling during the pandemic. Furthermore, men and younger people had higher cycling rates in comparison to other groups, suggesting that restrictions on indoor activities and travel limits were not enough to encourage women or older people to cycle more during the pandemic.