Two-stage Sampling Design Research Articles

Prevalence of hepatitis and HIV in Pakistan.

Based on the first hepatitis serosurvey conducted in 2008, Pakistan was identified as the country with the second highest hepatitis C disease burden in the world. To compare the current hepatitis seroprevalence with the 2008 figures and offer recommendations for elimination in the country. Using a stratified two-stage sample design, we collected blood samples from individuals living in the 29 districts of Sindh Province, Pakistan. The samples were tested at the hepatitis control programme laboratory using the national testing guidelines and the data were analysed using Epi Info and SPSS version 19.0. Of the 6672 persons tested, 70 (1.0%) (42 male, 28 female) were hepatitis positive. Hepatitis prevalence increased with age. Family history of chronic liver disease (odds ratio 2.5) and shaving at the barber's shop (odds ratio 2.2) were the major risk factors. Only 2 people (a husband and wife) were reactive to all the 3 HIV rapid diagnostic tests, giving an overall HIV prevalence of 0.02%. There is a need for mass testing and treatment in Pakistan through a multisectoral, collaborative approach, to halt the spread of hepatitis and prevent disease progression to cirrhosis and hepatocellular carcinoma.

Socioeconomic determinants of male contraceptive use in South Africa: a secondary analysis of the 2016 SADHS data

BackgroundHistorically, family planning discussions have predominantly centred on women, overlooking the crucial role men play in contraception. This is particularly concerning in regions like Sub-Saharan Africa (SSA), where reproductive health challenges are pronounced. South Africa, a key country within SSA, continues to grapple with issues such as high unintended pregnancy rates and increasing pregnancy-related mortality. Understanding the factors that deter male contraceptive use is essential for achieving universal access to sexual and reproductive health (SRH) services. This study investigates the socioeconomic disparities influencing male contraceptive use in South Africa, drawing on data from the 2016 South Africa Demographic Health Survey.MethodsThe study utilised data from the 2016 South African Demographic and Health Survey, which employed a stratified, two-stage sampling design across all provinces based on the 2011 Census. The survey focused on men aged 15–59 using the “Man’s Questionnaire.” Various socio-demographic and attitudinal variables were analysed using STATA 17. The analysis included multinomial logistic regression to identify determinants of male contraceptive use and the Erreygers Normalized Concentration Index to assess socioeconomic inequalities in contraceptive uptake.ResultsAmong the surveyed men, 47% reported not using any contraception, 40% used male methods, and 13% relied on their partners’ contraceptive use. A majority began sexual activity between the ages of 14–17 (54%), resided in urban areas (56%), were unmarried (67%), and had attained secondary education (70%). Notably, 78% disagreed that contraception is solely a woman’s responsibility, and 64% expressed positive attitudes toward contraception. Age, marital status, and education level emerged as significant factors influencing contraceptive use. The study revealed a slight pro-rich inequality in male contraception use, with socioeconomic status (SES) being the most significant contributor to this disparity (223.22%). This suggests that higher SES is associated with increased inequality in the adoption of modern male contraceptive methods.ConclusionThese findings highlight the impact of socioeconomic disparities and entrenched cultural beliefs on male contraceptive use in South Africa. To address these challenges, comprehensive strategies that prioritise education, expand family planning media campaigns and ensure equitable access to contraception are urgently needed.

Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design

Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design

Prevalence and factors associated with gestational diabetes mellitus in Malaysia: a population-based study comparing 2016 and 2022

BackgroundGestational diabetes mellitus (GDM) poses substantial health risks to both mothers and infants. Malaysia exhibits a heightened prevalence of GDM.ObjectiveThis study aims to examine the changes in the prevalence of GDM between 2016 and 2022 and its determining factors.MethodsThe data analysed in this study were derived from the National Health and Morbidity Survey (NHMS) 2016 and 2022, a nationwide study employing a two-stage stratified random sampling design in Malaysia. Changes in the prevalence were compared between data from NHMS 2016 and 2022, while factors were evaluated based on data from NHMS 2022. Descriptive statistics and multiple logistic regression analyses were performed using IBM SPSS version 27.ResultsThe prevalence of GDM increased from 12.5% in 2016 to 27.1% in 2022. In both years, the prevalence was highest among those aged 44–49 years, those of Indian ethnicity, those in higher income groups and those with higher education levels. Advanced maternal age, high body mass index (BMI) and hypertension were associated with a greater risk of GDM.ConclusionThe prevalence of GDM among the Malaysian population doubled from 2016 to 2022. The findings underscore the importance of implementing targeted programs for expectant mothers in high-risk groups to mitigate the incidence of GDM and its associated morbidities.

Spatial distribution and associated factors of cesarean section in Ethiopia using mini EDHS 2019 data: a community based cross-sectional study

Maternal health is a major public health tricky globally. Cesarean section delivery reduces morbidity and mortality when certain complications occur throughout pregnancy and labor. Cesarean section subjected to the availability and use of essential obstetric services in regional factors in Ethiopia. There was a scarcity of studies that assess the spatial distribution and associated factors of cesarean section. Consequently, this study aimed to assess the spatial variation of cesarean section and associated factors using mini EDHS 2019 national representative data. A community based cross-sectional study was conducted in Ethiopia from March to June 2019. A two-stage stratified sampling design was used to select participants. A Global Moran’s I and Getis-Ord Gi* statistic hotspot analysis was used to assess the spatial distribution. Kuldorff’s SaTScan was employed to determine the purely statistically significant spatial clusters. A multilevel binary logistic regression model fitted to identify factors. A total of 5753 mothers were included. More than one-fourth of mothers delivered through cesarean section at private health institutions and 54.74% were not educated. The proportion of cesarean section clustered geographically in Ethiopia and hotspot areas were observed in Addis Ababa, Oromia, Tigray, Derie Dewa, Amhara, and SNNR regions. Mothers’ age (AOR = 1.07, 95% CI 1.02–1.12), mother’s had secondary education (AOR = 2.113, 95% CI 1.414, 3.157), mother’s higher education (2.646, 95% CI 1.724, 4.063), Muslim religion followers (AOR = 0.632, 95% CI 0.469, 0.852), poorer (AOR = 1.719, 95% CI 1.057, 2.795), middle wealth index (AOR = 1.769, 95% CI 1.073, 2.918), richer (AOR = 2.041, 95% CI 1.246, 3.344), richest (AOR = 3.510, 95% CI 2.197, 5.607), parity (AOR = 0.825, 95% CI 0.739, 0.921), and multiple pregnancies (AOR = 4.032, 95% CI 2.418, 6.723) were significant factors. Therefore, geographically targeted interventions are essential to reduce maternal and infant mortality with WHO recommendations for those Muslim, poorest and not educated mothers.

Impact of mass media campaigns on knowledge of malaria prevention measures among pregnant mothers in Uganda: a propensity score-matched analysis

BackgroundUganda grapples with a considerable malaria burden, reporting prevalence rates of over 33% in some regions. To address this, the Uganda Ministry of Health employs audiovisual platforms for disseminating malaria prevention messages. However, the impact of these messages on pregnant women’s knowledge of malaria prevention remains insufficiently explored. This paper therefore emphasizes the influence of audiovisual messages on the knowledge of malaria prevention measures among pregnant women in Uganda.MethodsSecondary data obtained from the Uganda Malaria Indicator Survey (MIS) 2018–2019 was used for this analysis. Women aged 15–49 were included in the study. A total of 8868 women were selected using a two-stage sample design. The two stages of selection included clusters and households. Women who were currently pregnant were included in the study, resulting in a weighted sample of 721 women. Propensity score-matched analysis was used to evaluate the impact of access to malaria messages on knowledge of prevention measures.ResultsThe study revealed that 39% [95% CI 34.0–44.2] of pregnant women were exposed to malaria messages before the survey. Those exposed had a 17.2% higher knowledge [ATT = 0.172; 95% CI 0.035–0.310] of using mosquito nets for prevention compared to those unexposed. Among women exposed, radios accounted for most form of access to mass media campaigns [64.8, 95% CI 57.0–71.8] followed by interpersonal communication [45.0, 95% CI 37.6–52.6], community health workers [38.8, 95% CI 29.6–48.8], community events [21.4, 95% CI 15.8–28.3], and social mobilization [18.3, 95% CI 12.7–25.8].ConclusionResults highlight the importance of radios in spreading important malaria prevention messages to pregnant women. Being exposed to these messages is linked to increased awareness and knowledge about the proper use of insecticide-treated bed nets (ITNs) for preventing malaria. This finding underscores the importance of evaluating different channels for mass media campaigns to ensure the effective delivery of information about malaria prevention to the intended audiences.

Model-assisted estimation of domain totals, areas, and densities in two-stage sample survey designs

Model-assisted, two-stage forest survey sampling designs provide a means to combine airborne remote sensing data, collected in a sampling mode, with field plot data to increase the precision of national forest inventory estimates, while maintaining important properties of design-based inventories, such as unbiased estimation and quantification of uncertainty. In this study, we present a comprehensive set of model-assisted estimators for domain-level attributes in a two-stage sampling design, including new estimators for densities, and compare the performance of these estimators with standard poststratified estimators. Simulation was used to assess the statistical properties (bias, variability) of these estimators, with both simple random and systematic sampling configurations, and indicated that (1) all estimators were generally unbiased and (2) the use of lidar in a sampling mode increased the precision of the estimators at all assessed field sampling intensities, with particularly marked increases in precision at lower field sampling intensities. Variance estimators are generally unbiased for model-assisted estimators without poststratification, while variance estimators for model-assisted estimators with poststratification were increasingly biased as field sampling intensity decreased. In general, these results indicate that airborne remote sensing data, collected as an intermediate level of sampling, can be used to increase the efficiency of national forest inventories in remote regions.

Latent profiles of global electrical heterogeneity: the Hispanic Community Health Study/Study of Latinos.

Despite the highest prevalence of stroke, obesity, and diabetes across races/ethnicities, paradoxically, Hispanic/Latino populations have the lowest prevalence of atrial fibrillation and major Minnesota code-defined ECG abnormalities. We aimed to use Latent Profile Analysis in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) population to obtain insight into epidemiological discrepancies. We conducted a cross-sectional analysis of baseline HCHS/SOL visit. Global electrical heterogeneity (GEH) was measured as spatial QRS-T angle (QRSTa), spatial ventricular gradient azimuth (SVGaz), elevation (SVGel), magnitude (SVGmag), and sum absolute QRST integral (SAIQRST). Statistical analysis accounted for the stratified two-stage area probability sample design. We fitted a multivariate latent profile generalized structural equation model adjusted for age, sex, ethnic background, education, hypertension, diabetes, smoking, dyslipidaemia, obesity, chronic kidney disease, physical activity, diet quality, average RR' interval, median beat type, and cardiovascular disease (CVD) to gain insight into the GEH profiles. Among 15 684 participants (age 41 years; 53% females; 6% known CVD), 17% had an increased probability of likely abnormal GEH profile (QRSTa 80 ± 27°, SVGaz -4 ± 21°, SVGel 72 ± 12°, SVGmag 45 ± 12 mVms, and SAIQRST 120 ± 23 mVms). There was a 23% probability for a participant of being in Class 1 with a narrow QRSTa (40.0 ± 10.2°) and large SVG (SVGmag 108.3 ± 22.6 mVms; SAIQRST 203.4 ± 39.1 mVms) and a 60% probability of being in intermediate Class 2. A substantial proportion (17%) in the Hispanic/Latino population had an increased probability of altered, likely abnormal GEH profile, whereas 83% of the population was resilient to harmful risk factors exposures.

Protocol for a longitudinal study examining the trajectory of COVID-19, post-COVID, multidimensional disadvantage and health-related quality of life in India: the IndiQol Project

IntroductionThe COVID-19 pandemic has raised concerns about the persistence of symptoms after infection, commonly referred to as ‘post-COVID’ or ‘long-COVID’. While countries in high-resource countries have highlighted the increased risk...

Double burden of malnutrition and its socio-demographic determinants among children and adolescents in Malaysia: National Health And Morbidity Survey 2019

IntroductionMalaysia faces the threat of a double burden of malnutrition where undernutrition and overweight (including obesity) coexist in the same population. This study aimed to determine the anthropometric assessment among children and adolescents aged 5 to 17 years and its association with socio-demographic factors.MethodsData were extracted from the National Health and Morbidity Survey conducted in 2019. This cross-sectional survey applied a two-stage stratified sampling design. Socio-demographic characteristics were obtained. Weight and height were measured, age- and sex-specific standard scores for height and BMI were calculated to establish individual’s anthropometric assessment. Having either stunting or thinness was considered undernutrition, while being overweight (including obesity) was considered overnutrition. If someone had undernutrition and/or overnutrition, they were classified as having malnutrition. The prevalence was determined using complex sampling analysis, while the association was assessed through logistic regression. The analysis included a total of 3,185 respondents.ResultsThe prevalence of stunting, thinness, overweight and obesity among the respondents aged 5 to 17 years was 12.7%, 10.0%, 15.0% and 14.8%, respectively. The overall prevalence of malnutrition was 48.3%. Respondents residing in rural had 1.35 times more likelihood of experiencing undernutrition [AOR = 1.35, 95% CI (1.04, 1.77)] compared to their urban counterparts. Boys exhibited a greater likelihood of being overweight and obese than girls [AOR = 1.40, 95% CI (1.13, 1.73)]. Respondents aged 10 to 14 years were 1.37 times more likely to be overnutrition than those aged 5 to 9 years old [AOR = 1.37, 95% CI (1.09, 1.73)].ConclusionThere is growing evidence of the increasing prevalence of coexistence of undernutrition along with overweight and obesity among children and adolescents in Malaysia. Moving forward, greater initiatives and efforts are required to formulate strategies for planning and implementing programs and policies to expedite progress in improving nutrition.

Calibration Estimation of Population Total in Two-Stage Sampling Design under unavailability of Population Level Auxiliary Information for the selected PSUs

Calibration approach is a popular technique in sample surveys which incorporates auxiliary information in the estimation process assuming that population aggregates of auxiliary variable are available. Many often under two-stage sampling design, such population aggregates of auxiliary variable, i.e., population mean or total are unavailable and under such situations, estimation of population total has been limited to the use of two phase sampling. Therefore, in the present study, efficient estimator of population total is developed under two-stage sampling design when population aggregates of auxiliary variable are unavailable for the selected psu’s. The calibrated estimator is developed using the information on known population aggregates of additional auxiliary variable which is less linearly related to the study variable through two step calibration approach. The approximate variance and variance estimator of the proposed calibrated estimator has also been developed. Empirical evaluations using both real and simulated data shows the superior performance of the developed calibrated estimator in comparison to the existing estimators.

Vegetation index and livestock practices as predictors of malaria transmission in Nigeria

Nigeria is the most malaria-endemic country in the world. Vegetation and livestock practices have been linked to malaria transmission but little is known about these in Nigeria. The study aimed to evaluate the influence of vegetation and livestock as predictors of malaria transmission in Nigeria. Secondary data obtained from the Nigerian Demographic and Health Survey’s Geospatial Covariate Datasets Manual were used for the analysis. The survey was carried out successfully in 1389 clusters of thirty (30) households each using a two-stage stratified random sampling design. Hierarchical beta regression models were used to model the associations between malaria incidence, enhanced vegetation index (EVI), and livestock practices. The correlation coefficients for vegetation index and livestock-related variables ranged from − 0.063 to 0.074 and varied significantly with the incidence of malaria in Nigeria (P < 0.001). The model showed vegetation index, livestock goats, and sheep as positive predictors of malaria transmission. Conversely, livestock chicken and pigs were observed to reduce the risk of malaria. The study recommends the need to take into account local differences in transmission when developing malaria early warning systems that utilize environmental and livestock predictors.

Predictors of contraceptive discontinuation in Rwanda: evidence from demographic and health survey 2019–2020

BackgroundDespite advancements, Rwanda continues to face challenges regarding contraceptive discontinuation. The 2019–2020 Rwanda Demographic and Health Survey (DHS) reported a 30% discontinuation rate among women within the first year of use. This study analyses predictors of discontinuation using this DHS data, with the goal of strengthening Rwanda’s family planning programs.MethodsData from the 2019-20 Rwanda DHS (14,634 women aged 15–49) was examined. A two-stage sampling design informed the survey. Life table methods and Cox proportional hazard models were used to analyze discontinuation rates, median usage duration across contraceptive methods, and the influence of demographic and other factors.ResultsResults indicated a progressive rise in contraceptive discontinuation over different period: 16.69% at 6 months, 29.29% at 12 months, and 47.21% at 24 months. Pills and male condoms showed higher discontinuation probabilities early on. While injectables and LAM initially showed lower discontinuation, rates rose significantly by the 24th month. Health concerns and side effects were the primary reasons cited for discontinuation. The Cox proportional hazards analysis revealed significant factors influencing discontinuation: contraceptive method, desire for pregnancy, husband’s disapproval, access/availability, and the desire for a more effective method.ConclusionThis study highlights substantial contraceptive discontinuation rates in Rwanda, particularly for pills and injectables. Method type, health concerns, side effects, and method failure were associated with discontinuation. Interventions should focus on improving contraceptive continuation and investigating alternative methods with lower discontinuation tendencies.

Seroprevalence and risk factors of Toxoplasma gondii infection in goats from South Punjab Province, Pakistan

Layyah District in South Punjab Province of Pakistan offers the most intensive caprine economy in the country; its Indus riverine and desert environment makes the area peculiar and worthy of specific investigations. This study aimed to investigate the prevalence of anti-Toxoplasma gondii (T. gondii) IgG-antibody in goats in serum samples and the potential risk factors. The prevalence of T. gondii infection was estimated using a two-stage sample design. All caprine farms in the study area were stratified by size, and from these 110 were randomly selected. Twelve goats (>1-year-old) were selected from each farm and a total of 1320 serum samples were collected and tested by ELISA. A questionnaire on the conditions and management practices of each farm was administered to 110 farmers. Four hundred and sixteen out of 1320 sera samples (31.5%) were found positive and 89% of the flock had at least one seropositive goat. The proportion of seropositive goats tested within each flock ranged from 8.3% to 83.3%. with several factors contributing to this heterogeneity. Goat age played a significant role in the presence of cats. Significant interactions were related to goat farms having floor of dirt and kitten presence. Moreover, age class, abortion history and water source supply were modulated by owner education levels. This is the first study to determine the prevalence of anti-T. gondii antibodies in goats sera in Layyah district and the largest carried out so far in Pakistan. The remarkable presence of T. gondii among goats in areas where goat farming plays a significant economic role may pose a production threat to the small-stock industry, as well as to public health and food safety. Therefore, investigations to identify high-risk goat populations are highly recommended in order to facilitate the implementation of local control strategies.

Exploring factors associated with Trichuris trichiura infection in school children in a high-transmission setting in Kenya

ObjectivesKenya has implemented a national school-based deworming program, which has led to substantial decline in the prevalence of soil-transmitted helminths (STHs), although some pockets of infections remain. To effectively design an STH control program that leads to significant reductions of Trichuris trichiura, there is a need to understand the drivers of persistent infection despite ongoing treatment programs. MethodsThis study was conducted between July and September 2019 at the south coast of Kenya, using a two-stage sampling design. First, a school-based cross-sectional survey was conducted in 2265 randomly selected school children from selected schools in areas known to be endemic for T. trichiura. After this, we conducted a nested case-control study wherein all children positive for T. trichiura (142) were matched to 148 negative controls based on age and village. A household survey was then conducted with all household members of cases and controls. In addition, a subsample of 116 children found to be infected with T. trichiura were followed up to assess the efficacy of albendazole at day 21 post-treatment. The predictors of presence of T. trichiura were investigated through multilevel logistic regression, considering clustering of infection. ResultsOverall, 34.4% of the children were infected with at least one STH species; T. trichiura was the most common (28.3%), 89.1% of those with T. trichiura had light-intensity infections. The prevalence of T. trichiura was significantly higher in male children and was positively associated with younger age and number of people infected with T. trichiura in a household. The parasitological cure rate and egg reduction rate of T. trichiura were 35% and 51%, respectively. Other STHs identified were hookworm (9.6%) and Ascaris lumbricoides (5.7%). ConclusionsT. trichiura remains a significant public health challenge in the study area with albendazole treatment efficacy against the parasite, remaining lower than the World Health Organization–recommended thresholds. Because of the observed focal transmission of T. trichiura in the current area, control efforts tailored to local conditions and targeting lower implementation units should be used to achieve optimal results on transmission.

Association of maternal, obstetric, fetal, and neonatal mortality outcomes with Lady Health Worker coverage from a cross-sectional survey of >10,000 households in Gilgit-Baltistan, Pakistan.

Pakistan has among the highest rates of maternal, perinatal, and neonatal mortality globally. Many of these deaths are potentially preventable with low-cost, scalable interventions delivered through community-based health worker programs to the most remote communities. We conducted a cross-sectional survey of 10,264 households during the baseline phase of a cluster randomized controlled trial (cRCT) in Gilgit-Baltistan, Pakistan from June-August 2021. The survey was conducted through a stratified, two-stage sampling design with the objective of estimating the neonatal mortality rate (NMR) within the study catchment area, and informing implementation of the cRCT. Study outcomes were self-reported and included neonatal death, stillbirth, health facility delivery, maternal death, postpartum hemorrhage (PPH), and Lady Health Worker (LHW) coverage. Summary statistics (proportions and rates) were weighted according to the sampling design, and mixed-effects Poisson regression was conducted to explore the relationship between LHW coverage and maternal/newborn outcomes. We identified 7,600 women who gave birth in the past five years, among whom 13% reported experiencing PPH. The maternal mortality ratio was 225 maternal deaths per 100,000 live births (95% confidence interval [CI] 137-369). Among 12,376 total births, the stillbirth rate was 41.4 per 1,000 births (95% CI 36.8-46.7) and the perinatal mortality rate was 53.0 per 1,000 births (95% CI 47.6-59.0). Among 11,863 live births, NMR was 16.2 per 1,000 live births (95% CI 13.6-19.3) and 65% were delivered at a health facility. LHW home visits were associated with declines in PPH (risk ratio [RR] 0.89 per each additional visit, 95% CI 0.83-0.96) and late neonatal mortality (RR 0.80, 95% CI 0.67-0.97). Intracluster correlation coefficients were also estimated to inform the planning of future trials. The high rates of maternal, perinatal, and neonatal death in Gilgit-Baltistan continue to fall behind targets of the 2030 Sustainable Development Goals.

Knowledge and practices of sickle cell disease among healthcare providers in Kinshasa, Democratic Republic of the Congo.

In Kinshasa, Democratic Republic of Congo, there is a low evocation of the diagnosis of sickle cell disease (SCD) by first-level healthcare providers (HCPs), most likely because of poor knowledge of the disease. To assess the levels of knowledge and practices of SCD and to identify determinants of the practices among primary HCPs. Healthcare facilities in Selembao health zone in Kinshasa, Democratic Republic of the Congo. A cross-sectional study of HCPs randomly selected through a two-stage sampling design. Data were collected using a pre-tested interviewer-administered questionnaire. Univariate and bivariate analysis were done to describe the levels of knowledge and practices of SCD. Factors associated with better practices on SCD were determined using multiple linear regression. The threshold for statistical significance wasp˂ 0.05. A total of 318 HCPs, which included 80 physicians and 238 nurses, participated in the study. The participants showed different scores on the components of the knowledge. All the participants showed poor practices on SCD. Multiple linear regression retained overall knowledge of SCD as a significant predictor of better practice for physicians. Knowledge of SCD and duration of work experience were significant predictors of better practices among nurses. The practices of healthcare providers on SCD were far from optimal. These practices were significantly associated with knowledge and experience of healthcare providers.Contribution:This study highlighted the need for continuing professional education to enhance the management of SCD in the setting.

Leveraging Technology Integration in Kenya's Food &amp; Beverage Industry for Competitiveness.

Leveraging Technology Integration in Kenya's Food &amp; Beverage Industry for Competitiveness.

The Multiple Roles of Social-Emotional Skills in Student Educational, Psychological, and Social Outcomes: An Empirical Study from China

The aim of the present study was to investigate the multiple roles of social-emotional skills in the educational, psychological, and social outcomes of Chinese primary and secondary students, using an ordinary least squares (OLS) regression method based on the 2019 Survey on Social and Emotional Skills (SSES) data. A two-stage stratified probability sampling design (sampling schools at the first stage and students at the second stage) was administered to gain a representative sample, and the final sample contained 7,141 participants across both 10-year-old and 15-year-old cohorts. The results indicated that task performance, collaboration, and engaging with others are stronger contributors to student educational outcomes than emotional regulation and open-mindedness; that emotional regulation and collaboration are stronger contributors to student psychological outcomes than task performance, open-mindedness, and engaging with others; and that emotional regulation, collaboration, and engaging with others are stronger contributors to student social outcomes than task performance and open-mindedness. Generally, open-mindedness embodied a relatively weaker effect on student educational, psychological, and social outcomes. The findings suggest that social-emotional skills function differently across student educational, psychological, and social outcomes, which may provide some effective guidance to proceed with social-emotional education in Chinese primary and secondary schools.

Associations between negative COVID-19 experiences and symptoms of anxiety and depression: a study based on a representative Canadian national sample.

Amid the widespread impact of the COVID-19 pandemic, a notable increase in symptoms of anxiety and depression has become a pressing concern. This study examined the prevalence of anxiety and depression symptoms in Canada from September to December 2020, assessing demographic and socioeconomic influences, as well as the potential role of COVID-19 diagnoses and related negative experiences. Data were drawn from the Survey on COVID-19 and Mental Health by Statistics Canada, which used a two-stage sample design to gather responses from 14 689 adults across ten provinces and three territorial capitals, excluding less than 2% of the population. Data were collected through self-administered electronic questionnaires or phone interviews. Analytical techniques, such as frequencies, cross-tabulation and logistic regression, were used to assess the prevalence of anxiety and depression symptoms, the demographic characteristics of Canadians with increased anxiety and depression symptoms and the association of these symptoms with COVID-19 diagnoses and negative experiences during the pandemic. The study found that 14.62% (95% CI: 13.72%-15.51%) of respondents exhibited symptoms of depression, while 12.89% (95% CI: 12.04%-13.74%) reported anxiety symptoms. No clear differences in symptom prevalence were observed between those infected by COVID-19, or those close to someone infected, compared to those without these experiences. However, there were strong associations between traditional risk factors for depressive and anxiety symptoms and negative experiences during the pandemic, such as physical health problems, loneliness and personal relationship challenges in the household. This study provides insight into the relationship between COVID-19 and Canadians' mental health, demonstrating an increased prevalence of anxiety and depression symptoms associated with COVID-19-related adversities and common prepandemic determinants of these symptoms. The findings suggest that mental health during the pandemic was primarily shaped by traditional determinants of depression and anxiety symptoms and also by negative experiences during the pandemic.