Inequities in COVID-19-Related Patient Outcomes by Socio-Demographic Characteristics: A Scoping Review.

Socio-demographic inequities in health treatment and outcomes are not new. However, the COVID-19 pandemic presented new opportunities to examine and address biases. This article describes a scoping review of 170 papers published prior to the onset of global vaccinations and treatment (December 2021). We report differentiated COVID-19-related patient outcomes for people with various socio-demographic characteristics, including the need for intubation and ventilation, intensive care unit admission, discharge to hospice care, and mortality. Using the PROGRESS-Plus framework, we determined that the most researched socio-demographic factor was race/ethnicity/culture/language. Members of minoritized racial and ethnic groups tended to have worse COVID-19-related patient outcomes; more research is needed about other categories of social disadvantage, given the scarcity of literature on these factors at the time of the review. It is only by researching and addressing the causes of social disadvantage that we can avoid such injustice in future public health crises.

Machine Learning Approach to Study Social Determinants of Chronic Illness in India: A Comparative Analysis.

BACKGROUND: Several studies on noncommunicable diseases (NCDs) have been carried out worldwide, the basis of most of which is the identification of risk factors-modifiable (or behavioral) and metabolic. Majority of the NCDs are due to sociodemographic factors, lifestyle, and behavior, which can be prevented to a great extent. Thus, it is a health challenge and a necessity to identify such factors of NCDs. OBJECTIVES: The objective is to make a thorough systematic and comparative analysis of diverse machine learning (ML) classifiers and identify the best-performing model to study social determinants of NCDs. MATERIALS AND METHODS: We used data from the Longitudinal Ageing Study in India, and predicted the prevalence of NCDs based on a set of sociodemographic, lifestyle, and behavioral risk factors by conducting a comparative analysis among 25 different algorithms. RESULTS: Evaluating the performance metrics, the random forest model was found to be the most-suited method with 87.9% accuracy and hence chosen as the final model for the analysis. The model's performance was optimized by a hyper-parameter tuning process using grid-search with a 5-fold cross-validation strategy and results suggested that it was able to make accurate predictions on new instances. CONCLUSION: The epidemic of chronic illness cannot be completely addressed without comprehending the social determinants. With advancements in medical and health-care industry, ML has been applied to analyze diseases based on clinical parameters. This work is an attempt by the authors to explore and encourage the use of ML in the field of social epidemiology.

Prevalence of Wasting and its Associated Factors among Children Under 5 Years of Age in India: Findings from the Comprehensive National Nutrition Survey.

BACKGROUND: The burden of wasting among under five children in India, has not reduced in the last decade. OBJECTIVES: We used child-level data from the latest nationally representative Comprehensive National Nutritional Survey (CNNS) to estimate the prevalence of wasting at the national and state level in India. METHODS: We explored the association of wasting with maternal, child and household factors using multivariable logistic regression for the age group of 0-5, 6-23 and 24-59 months. RESULTS: The overall prevalence of wasting was 17.3%, ranging from 5.8% to 29.1% across states, 23.3% in children 0-5 months, 19.6 % in children 6-23 months and 15.4 % in children 24-59 months of age. Higher birthweight i.e., every 100g increase (0-5 months aOR = 0.96, 6-23 months aOR = 0.94, 24-59 months aOR = 0.96), higher maternal BMI (0-5 months aOR = 0.51, 6-23 months aOR = 0.62, 24-59 months aOR = 0.67), increasing child age in months (0-5 months aOR = 0.84) and female sex of the child (24-59 months aOR = 0.82) was found to have significantly lower odds of wasting. The odds of wasting were significantly higher for poorest wealth quintile (0-5 months aOR = 1.99, 6-23 months aOR = 2.13), maternal unemployment (0-5 months aOR = 2.25), and lower levels of maternal education (6-23 months aOR = 1.74). CONCLUSIONS: Our analyses showed that burden of wasting continues to remain high in India. Preventive interventions must target reduction of low birthweight. Early identification and management of wasting should be done, especially during the first six months of life who are not part of current therapeutic feeding programme.

Multilevel analysis of intimate partner violence and associated factors among reproductive-age women: Kenya demographic and health survey 2022 data.

INTRODUCTION: Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya. METHODS: The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR). RESULT: The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study. CONCLUSIONS: The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.

An Exploratory Analysis of Sociodemographic Factors Associated With Physical Functional Impairment in ICU Survivors.

IMPORTANCE: Physical functional impairment is one of three components of postintensive care syndrome (PICS) that affects up to 60% of ICU survivors. OBJECTIVES: To explore the prevalence of objective physical functional impairment among a diverse cohort of ICU survivors, both at discharge and longitudinally, and to highlight sociodemographic factors that might be associated with the presence of objective physical functional impairment. DESIGN, SETTING, AND PARTICIPANTS: This was a secondary analysis of 37 patients admitted to the ICU in New Orleans, Louisiana, and Denver, Colorado between 2016 and 2019 who survived with longitudinal follow-up data. MAIN OUTCOMES AND MEASURES: Our primary outcome of physical functional impairment was defined by handgrip strength and the short physical performance battery. We explored associations between functional impairment and sociodemographic factors that included race/ethnicity, sex, primary language, education status, and medical comorbidities. RESULTS: More than 75% of ICU survivors were affected by physical functional impairment at discharge and longitudinally at 3- to 6-month follow-up. We did not see a significant difference in the proportion of patients with physical functional impairment by race/ethnicity, primary language, or education status. Impairment was relatively higher in the follow-up period among women, compared with men, and those with comorbidities. Among 18 patients with scores at both time points, White patients demonstrated greater change in handgrip strength than non-White patients. Four non-White patients demonstrated diminished handgrip strength between discharge and follow-up. CONCLUSIONS AND RELEVANCE: In this exploratory analysis, we saw that the prevalence of objective physical functional impairment among ICU survivors was high and persisted after hospital discharge. Our findings suggest a possible relationship between race/ethnicity and physical functional impairment. These exploratory findings may inform future investigations to evaluate the impact of sociodemographic factors on functional recovery.

[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.

Do sociodemographic risk profiles for adolescents engaging in weekly e-cigarette, cigarette, and dual product use differ?

BACKGROUND: E-cigarette use represents a contemporary mode of nicotine product use that may be changing the risk profile of participating adolescents. Understanding differences in sociodemographic characteristics of adolescents engaging in contemporary e-cigarette use and traditional cigarette use is important for effectively developing and targeting public health intervention programs. The objective of this study was to identify and compare sociodemographic risk profiles for exclusive e-cigarette use and dual-product use among a large sample of Canadian youth. METHODS: A survey of 46,666 secondary school students in the 2021-22 wave of the COMPASS study measured frequency of past month e-cigarette and cigarette use as well as age, sex, gender, racial or ethnic background, spending money, relative family affluence, and having one's own bedroom. Rates of cigarette-only, e-cigarette-only, and dual product use were calculated, and separate classification trees were run using the CART algorithm to identify sociodemographic risk profiles for weekly dual-product use and weekly e-cigarette-only use. RESULTS: Over 13% of adolescents used only e-cigarettes at least weekly, 3% engaged in weekly dual e-cigarette and cigarette use, and less than 0.5% used only cigarettes. Available spending money was a common predictor of dual-product and e-cigarette-only use. Gender diverse youth and youth with lower perceived family affluence were at higher risk for dual-product use, while white and multiethnic adolescents were at greater risk of e-cigarette-only use. Two high-risk profiles were identified for e-cigarette-only use and four high-risk profiles were identified for dual product use. CONCLUSIONS: This study used a novel modelling approach (CART) to identify combinations of sociodemographic characteristics that profile high-risk groups for exclusive e-cigarette and dual-product use. Unique risk profiles were identified, suggesting that e-cigarettes are attracting new demographics of adolescents who have not previously been considered as high-risk for traditional cigarette use.

Sociodemographic predictors of parenting stress among mothers in socio-economically deprived settings in rural and urban Kenya and Zambia.

Parental stress occurs when parenting demands exceed the resources available to cope with parenting. Previous research has identified household wealth, educational level, marital status, age, and number of dependent children as predictors of parental stress. However, limited evidence exists from sub-Saharan Africa. This study investigated the sociodemographic predictors of parenting stress among mothers in Kenya and Zambia. This cross-sectional study utilised baseline secondary data from parenting intervention programs implemented in Kisumu County (rural Kenya), Nairobi County (Urban Kenya), and Chisamba District (rural Zambia). Out of 913 caregivers recruited for the parenting program, 844 with complete data were included in the analysis. The mean age was 1.0 (SD = 0.7) years. Parental stress was measured using the Parental Stress Score (PSS) tool and demographic questionnaires were used to collect demographic information. Mean PSS were compared across study sites, and a multiple linear regression model was used to examine associations between sociodemographic predictors (household income, educational level, marital status, maternal age, child age, and number of children aged < 5 years) and PSS, adjusting for clustering and other predictors. From the results, the mean PSS in rural Kenya was 37.6 [SD = 11.8], in urban Kenya was 48.4 [SD = 4.2], and in rural Zambia was 43.0 [SD = 9.1]. In addition, the significant association between PSS and mothers' income and educational level was only observed in Kenyan study sites (income: Kenya rural ß = -0.40, p < 0.001**; Kenya urban, ß = - 0.33, p = .02*; Zambia rural, ß = - 0.01, p = 0.7) education: Kenya rural, ß = - 0.25, p = .005**; Kenya urban, ß = - 0.14, p = 0.07; Zambia rural, ß = 0.04, p = 0.3). However, marital status, mother's age, child's age, and the number of children below five years were not associated with PSS. The results revealed that mothers' income and education level were negatively associated with PSS, indicating that higher socioeconomic status can buffer the effects of parental stress.Trial registration Pan African Clinical Trials Registry ( https://pactr.samrc.ac.za/ ) database (ID Number: PACTR20180774832663 Date: 26/July/2018; (ID number: PACTR201905787868050 Date: 06/May/2019.

Occupational inequalities and gender differences: work accidents, Brazil, 2019.

OBJECTIVE: To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution. METHODS: A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained. RESULTS: Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97-3.82%) than in women (1.86%; 95%CI 1.55-2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33-6.21 and ORmen = 2.46; 95%CI 1.37-4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44-4.50 and ORmen = 3.70; 95%CI 1.95-7.03), had a higher chance of WA than the class of managers/professionals. CONCLUSION: Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.

Sociodemographic, clinical characteristics, and treatment patterns of endometrial cancer cases in Puerto Rico during the period 2009 to 2015: A retrospective study.

BACKGROUND: Over the past decades, the rising incidence rates of endometrial cancer have made it a significant public health concern for women worldwide. Treatment strategies for endometrial cancer vary based on several factors such as stage, histology, the patient's overall health, and preferences. However, limited amount of research on treatment patterns and potential correlations with sociodemographic characteristics among Hispanics is available. This study analyzes the treatment patterns for patients diagnosed with endometrial cancer in Puerto Rico. METHODS: A secondary database analysis was performed on endometrial cancer cases reported to the Puerto Rico Central Cancer Registry-Health Insurance Linkage Database from 2009 to 2015 (n = 2,488). The study population's sociodemographic and clinical characteristics were described, along with an overview of the therapy options provided to patients receiving care on the island. Logistic regression models were used to evaluate the association of sociodemographic/clinical characteristics with treatment patterns stratified by risk of recurrence. RESULTS: In our cohort, most patients were insured through Medicaid and had a median age of 60 years. Almost 90% of patients received surgery as the first course of treatment. Surgery alone was the most common treatment for low-risk patients (80.2%). High-risk patients were more likely to receive surgery with radiotherapy and chemotherapy (24.4%). Patients with Medicare insurance were five times (HR: 4.84; 95% CI: 2.45-9.58; p < 0.001) more likely to receive surgery when compared with patients insured with Medicaid. In contrast, those with private insurance were twice as likely to receive surgery (HR: 2.38; 95% CI: 1.40-4.04; p = 0.001) when compared to those with Medicaid. CONCLUSION: These findings provide insight into the treatment patterns for endometrial cancer in Puerto Rico and highlight the importance of considering factors such as disease risk when making treatment decisions. Addressing these gaps in treatment patterns can contribute to effective management of endometrial cancer.

Sickness absence and associations with sociodemographic factors, health risk behaviours, occupational stressors and adverse mental health in 40,343 UK police employees.

AIMS: Police employees may experience high levels of stress due to the challenging nature of their work which can then lead to sickness absence. To date, there has been limited research on sickness absence in the police. This exploratory analysis investigated sickness absence in UK police employees. METHODS: Secondary data analyses were conducted using data from the Airwave Health Monitoring Study (2006-2015). Past year sickness absence was self-reported and categorised as none, low (1-5 days), moderate (6-19 days) and long-term sickness absence (LTSA, 20 or more days). Descriptive statistics and multinomial logistic regressions were used to examine sickness absence and exploratory associations with sociodemographic factors, occupational stressors, health risk behaviours, and mental health outcomes, controlling for rank, gender and age. RESULTS: From a sample of 40,343 police staff and police officers, forty-six per cent had no sickness absence within the previous year, 33% had a low amount, 13% a moderate amount and 8% were on LTSA. The groups that were more likely to take sick leave were women, non-uniformed police staff, divorced or separated, smokers and those with three or more general practitioner consultations in the past year, poorer mental health, low job satisfaction and high job strain. CONCLUSIONS: The study highlights the groups of police employees who may be more likely to take sick leave and is unique in its use of a large cohort of police employees. The findings emphasise the importance of considering possible modifiable factors that may contribute to sickness absence in UK police forces.

Sociodemographic and reproductive risk factors associated with metabolic syndrome in a population of Brazilian women from the city of Ribeirão Preto: a cross-sectional study.

Objective: To identify sociodemographic and reproductive risk factors associated with MetS in women in their fourth decade of life. Methods: Cohort study conducted on women born from June 1978 to May 1979 in Ribeirão Preto, Brazil. Sociodemographic, clinical, and obstetric data were collected by interview and clinical evaluation. Univariable and multivariable binomial logistic regression models were constructed to identify the risk factors of metabolic syndrome and the adjusted relative risk (RR) was calculated. Results: The cohort included 916 women, and 286 (31.2%) of them have metabolic syndrome. MetS was associated with lack of paid work (RR 1.49; 95% CI 1.14-1.95), marital status of without a partner (RR 1.33; 95% CI 1.03-1.72), low educational level (less than 8 years of schooling [RR 1.72; 95% CI 1.23-2.41], 8 to 12 years of schooling [RR 1.37; 95% CI 1.06-1.76], when compared with more than 12 years of schooling), and teenage pregnancy (RR 2.00; 95% CI 1.45-2.77). There was no association between MetS, and the other covariates studied. Conclusion: Metabolic syndrome in a population of women in the fourth decade of life was associated with lack of employment, lack of a partner, low educational level, and teenage pregnancy.

Cultural sips: Exploring sociodemographic and dominance factors in French wine appraisal.

This study investigates the intricate relationship between sociodemographic factors, social dominance orientation (SDO), and perceptions of wine in France. Emphasizing the symbolic role of wine in French culture, and employing a survey-based approach, the research explores how societal hierarchies and individual positioning within these structures influence the appraisal of rosé wine. The findings revealed that sociodemographic factors, particularly education level, significantly influence wine appraisal, while social dominance orientation serves as a mediating factor. This research contributes to the understanding of the cultural and social dynamics shaping wine consumption in France, highlighting the fact that wine appraisal is deeply embedded in societal structures.

Assessing structural models of neighborhood and family sociodemographic characteristics and their relations with externalizing psychopathology.

Externalizing psychopathology has been found to have small to moderate associations with neighborhood and family sociodemographic characteristics. However, prior studies may have used suboptimal operationalizations of neighborhood sociodemographic characteristics and externalizing psychopathology, potentially misestimating relations between these constructs. To address these limitations, in the current study we test different measurement models of these constructs and assess the structural relations between them. Using a population-representative sample of 2,195 twins and siblings from the Georgia Twin Study and data from the National Neighborhood Data Archive and 2000 U.S. Census, we assessed the fit of competing measurement models for family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics. In structural models, we regressed a general externalizing dimension on different operationalizations of these variables separately and then simultaneously in a final model. Latent variable operationalizations of family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics explained no more variance in broad externalizing psychopathology than other operationalizations. In an omnibus model, family sociodemographic characteristics showed a small association with externalizing psychopathology, while neighborhood sociodemographic and environmental characteristics did not. Family sociodemographic characteristics showed small associations with neighborhood sociodemographic and environmental characteristics, and neighborhood sociodemographic characteristics were moderately associated with neighborhood environment. These findings suggest that family sociodemographic characteristics are more associated with the development of broad externalizing psychopathology in youth than neighborhood sociodemographic characteristics and neighborhood environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Utility of data from the Danish National School Test Program for health research purposes: Content and associations with sociodemographic factors and higher education.

The Danish National School Test Program is a set of nationwide tests performed annually since 2010 in all public schools in Denmark. To assess the utility of this data resource for health research purposes, we examined the association of school test performance with demographic and socioeconomic characteristics as well as correlations with ninth-grade exams and higher educational attainment. This nationwide descriptive register-based study includes children born between 1994 and 2010 who lived in Denmark at the age of six years. Norm-based test scores (range 1-100, higher scores indicate better performance) in reading (Danish) and mathematics from the Danish National School Test Program were obtained for children aged 6-16 attending public schools in Denmark from 2010 to 2019. Population registers were used to identify relevant demographic and socioeconomic variables. Mean test scores by demographic and socioeconomic variables were estimated using linear regression models. Among the full Danish population of 1,137,290 children (51.3% male), 960,450 (84.5%) children attended public schools. There were 885,360 children who completed one or more tests in reading or mathematics (test participation was 77.8% for the entire population, and 92.1% for children in public schools). Mean test scores varied by demographic and socioeconomic characteristics, most notably with education and labour market affiliation of parents. For every 1-point decrease in the test scores, there was a 0.95% (95% CI: 0.93%; 0.97%) lower probability of scoring B or higher in the ninth-grade exam and a 1.03% (95% CI: 1.00%; 1.05%) lower probability of completing high school within five years after graduating from lower secondary school. In this study of schoolchildren in Denmark, demographic and socioeconomic characteristics were associated with test scores from the Danish National School Test Program. Performance in school tests correlated closely with later educational attainment, suggesting that these early measures of school performance are good markers of subsequent academic potential.

Lifestyle and sociodemographic risk factors for stillbirth by region of residence in South Australia: a retrospective cohort study.

BACKGROUND: Stillbirth rates remain a global priority and in Australia, progress has been slow. Risk factors of stillbirth are unique in Australia due to large areas of remoteness, and limited resource availability affecting the ability to identify areas of need and prevalence of factors associated with stillbirth. This retrospective cohort study describes lifestyle and sociodemographic factors associated with stillbirth in South Australia (SA), between 1998 and 2016. METHODS: All restigered births in SA between 1998 ad 2016 are included. The primary outcome was stillbirth (birth with no signs of life ≥ 20 weeks gestation or ≥ 400 g if gestational age was not reported). Associations between stillbirth and lifestyle and sociodemographic factors were evaluated using multivariable logistic regression and described using adjusted odds ratios (aORs). RESULTS: A total of 363,959 births (including 1767 stillbirths) were included. Inadequate antenatal care access (assessed against the Australian Pregnancy Care Guidelines) was associated with the highest odds of stillbirth (aOR 3.93, 95% confidence interval (CI) 3.41-4.52). Other factors with important associations with stillbirth were plant/machine operation (aOR, 1.99; 95% CI, 1.16-2.45), birthing person age ≥ 40 years (aOR, 1.92; 95% CI, 1.50-2.45), partner reported as a pensioner (aOR, 1.83; 95% CI, 1.12-2.99), Asian country of birth (aOR, 1.58; 95% CI, 1.19-2.10) and Aboriginal/Torres Strait Islander status (aOR, 1.50; 95% CI, 1.20-1.88). The odds of stillbirth were increased in regional/remote areas in association with inadequate antenatal care (aOR, 4.64; 95% CI, 2.98-7.23), birthing age 35-40 years (aOR, 1.92; 95% CI, 1.02-3.64), Aboriginal and/or Torres Strait Islander status (aOR, 1.90; 95% CI, 1.12-3.21), paternal occupations: tradesperson (aOR, 1.69; 95% CI, 1.17-6.16) and unemployment (aOR, 4.06; 95% CI, 1.41-11.73). CONCLUSION: Factors identified as independently associated with stillbirth odds include factors that could be addressed through timely access to adequate antenatal care and are likely relevant throughout Australia. The identified factors should be the target of stillbirth prevention strategies/efforts. SThe stillbirth rate in Australia is a national concern. Reducing preventable stillbirths remains a global priority.

Demographic determinants of happiness in Andalusia: insights from the 2022 social survey data.

The Social Survey of Andalusia is an instrument for monitoring the Andalusian reality developed by the regional government of Andalusia, whose dataset is open access to the citizens. The 2022 edition included questions related to happiness, social relations as well as socio-demographic factors. Based on this dataset, the present study aimed to analyse the relationship between socio-demographic factors and people's experiences of happiness. It also set out to explore which factors might be indispensable for experiencing moments of happiness as measured in the survey. A sample of 4,968 cases was gotten, conducting a descriptive analysis, a logit regression in complex samples, and a Necessary Conditions Analysis. The results found two very different social profiles in terms of the experience of happiness, determined by age, sex, educational level and economic status. However, neither factor proved to be a necessary condition for happiness. Both conclusions should be taken into consideration in any socio-community intervention.

Sociodemographic differences in recreational screen time before and during the COVID-19 pandemic in Canada.

Background: Over the last several years, recreational screen time has been increasing. During the COVID-19 pandemic, recreational screen time rose among Canadian youth and adults, and those who increased screen time had poorer self-reported mental health compared with those who decreased or maintained their recreational screen time levels. Data and methods: Using data from the 2017, 2018, and 2021 Canadian Community Health Survey, the prevalence of meeting the recreational screen time recommendation from the Canadian 24-Hour Movement Guidelines was compared before and during the pandemic across sociodemographic groups. Logistic regression was used to identify sociodemographic groups that were more likely to meet the recreational screen time recommendation before and during the pandemic. Results: The amount of time Canadians spent engaging in daily recreational screen time increased from 2018 to 2021, leading to fewer youth and adults meeting the recreational screen time recommendation during the pandemic compared with before. The prevalence of meeting the recommendation was lower during the pandemic compared with before the pandemic among almost all sociodemographic groups. Among youth, living in a rural area was associated with a greater likelihood of meeting the recommendation before and during the pandemic. Among adults, the following characteristics were all associated with a greater likelihood of meeting the recommendation during the pandemic: being female; living in a rural area or a small population centre; identifying as South Asian; being an immigrant to Canada; living in a two-parent household; being married or in a common-law relationship or widowed, separated, or divorced; working full time; and being a health care worker. Interpretation: The prevalence of meeting the recreational screen time recommendation during the pandemic was lower overall compared with before the pandemic. Several sociodemographic groups were more likely to meet the recommendation during the pandemic. Continued surveillance of recreational screen time is necessary to monitor the indirect effects of the pandemic and to identify population subgroups that would benefit from tailored interventions in the pandemic recovery period.

Sociodemographic factors and lifestyle behaviours associated with bullying victimization and perpetration in a sample of Brazilian adolescents.

This article aims to identify the association of sociodemographic factors and lifestyle behaviours with bullying perpetration and victimization among high school students. The adolescents (n=852) answered a questionnaire about bullying (victims and perpetrators), sociodemographic factors (sex, age, maternal education, and participant's work status), tobacco use, alcohol use, illicit drug experimentation, physical activity, screen time, and sleep duration. Multilevel logistic regression models were performed. Older adolescents were less likely to be victims of bullying. Females were less likely to be perpetrators or victims of bullying. Adolescents who were working were more likely to be involved in bullying in both forms. Participation in non-sport activities and alcohol consumption were associated with higher odds of bullying victimization. We have identified specific populational subgroups that are more susceptible to being victims and/or perpetrators of bullying, which could support tailor-specific interventions to prevent bullying.

Smoking, mortality, access to diagnosis, and treatment of lung cancer in Brazil.

INTRODUCTION: Lung cancer (LC) is a relevant public health problem in Brazil and worldwide, given its high incidence and mortality. Thus, the objective of this study is to analyze the distribution of smoking and smoking status according to sociodemographic characteristics and disparities in access, treatment, and mortality due to LC in Brazil in 2013 and 2019. METHOD: Retrospective study of triangulation of national data sources: a) analysis of the distribution of smoking, based on the National Survey of Health (PNS); b) investigation of LC records via Hospital-based Cancer Registry (HCR); and c) distribution of mortality due to LC in the Mortality Information System (SIM). RESULTS: There was a decrease in the percentage of people who had never smoked from 2013 (68.5%) to 2019 (60.2%) and in smoking history (pack-years). This was observed to be greater in men, people of older age groups, and those with less education. Concerning patients registered in the HCR, entry into the healthcare service occurs at the age of 50, and only 19% have never smoked. While smokers in the population are mainly Mixed-race, patients in the HCR are primarily White. As for the initial stage (I and II), it is more common in White people and people who have never smoked. The mortality rate varied from 1.00 for people with higher education to 3.36 for people without education. Furthermore, White people have a mortality rate three times higher than that of Black and mixed-race people. CONCLUSION: This article highlighted relevant sociodemographic disparities in access to LC diagnosis, treatment, and mortality. Therefore, the recommendation is to strengthen the Population-Based Cancer Registry and develop and implement a nationwide LC screening strategy in Brazil since combined prevention and early diagnosis strategies work better in controlling mortality from the disease and continued investment in tobacco prevention and control policies.