The impact of accredited social health activists in India on uptake of modern contraception: A nationally representative multilevel modelling study.

The government of India introduced the Accredited Social Health Activist (ASHA) programme in 2006 to connect marginalised communities to the health system. ASHAs are mandated to increase the uptake of modern contraception through the doorstep provision of services. There is currently no evidence on the impact of ASHAs on the uptake of contraception at the national level. This paper examines the impact of ASHAs on the uptake of modern contraception using nationally representative National and Family Health Survey data collected in 2019-21 in India. A multilevel logistic regression analysis was performed to determine the effect of contact with ASHAs on the uptake of modern contraception, controlling for regional variability and socio-demographic variables. The data provide strong evidence that ASHAs have succeeded in increasing modern contraceptive use. Women exposed to ASHAs had twice the odds of being current users of modern contraception compared to those with no contact, even after controlling for household and individual characteristics. However, only 28.1% of women nationally reported recent contact with ASHA workers. The ASHA programme should remain central to the strategy of the government of India and should be strengthened to achieve universal access to modern contraception and meet sustainable development goals by 2030.

Do hospitalizations push households into poverty in India: evidence from national data.

Introduction: High percentage of OOP (Out-of-Pocket) costs can lead to poverty and exacerbate existing poverty, with 21.9% of India's 1.324 billion people living below the poverty line. Factors such as increased patient cost-sharing, high-deductible health plans, and expensive medications contribute to high OOP costs. Understanding the poverty-inducing impact of healthcare payments is essential for formulating effective measures to alleviate it. Methods: The study used data from the 75th round of the National Sample Survey Organization (Household Social Consumption in India: Health) from July 2017-June 2018, focusing on demographic-socio-economic characteristics, morbidity status, healthcare utilization, and expenditure. The analysis included 66,237 hospitalized individuals in the last 365 days. Logistic regression model was used to examine the impact of OOP expenditures on impoverishment. Results: Logistic regression analysis shows that there is 0.2868 lower odds of experiencing poverty due to OOP expenditures in households where there is the presence of at least one child aged 5 years and less present in the household compared to households who do not have any children. There is 0.601 higher odds of experiencing poverty due to OOP expenditures in urban areas compared to households in rural areas. With an increasing duration of stay in the hospital, there is a higher odds of experiencing poverty due to OOP health expenditures. There is 1.9013 higher odds of experiencing poverty due to OOP expenditures if at least one member in the household used private healthcare facility compared to households who never used private healthcare facilities. Conclusion: In order to transfer demand from private to public hospitals and reduce OOPHE, policymakers should restructure the current inefficient public hospitals. More crucially, there needs to be significant investment in rural areas, where more than 70% of the poorest people reside and who are more vulnerable to OOP expenditures because they lack coping skills.

Assessment of the general health status of children in Turkey: A community-based cross-sectional study.

AIM: This study aims to assess the general health status and factors affecting the general health status in the 0-14 age group in Turkey. METHODS: This cross-sectional study was conducted using the Turkish Statistical Institute Turkey Health Survey 2022 micro data set. RESULTS: This study included 7019 participants. Household heads described the general health status of 91.3% of children and the dental and gum status of 82.4% of children as very good or good, and 9.2% of children had any chronic disease. Although the median breastfeeding duration was 15 months, there is statistical significant association between sex and general health status (p = 0.014) and sex and duration of breastfeeding (p = 0.006). A statistical difference was found between duration of breastfeeding and general health status (p = 0.009) and dental and gum status (p = 0.001). CONCLUSION: In 2022, the majority of children in Turkey had very good or good general health and dental and gum status. More than a third of children were breastfed for less than 12 months. Considering the possibility of neglecting oral and dental health problems, it is recommended to prioritize oral and dental health literacy trainings and to continue breastfeeding promotion programmes.

Under-5 mortality surveillance in low-income and middle-income countries: insights from two Health and Demographic Surveillance Systems in rural Gambia.

Without complete data on under-5 mortality, tracking progress towards achieving Sustainable Development Goal 3.2 will be challenging. Such data are also needed to ensure proper planning and prioritisation of scarce resources in low-income and middle-income countries. However, most low-income and middle-income countries have weak Civil Registration and Vital Statistics (CRVS) systems, leaving a critical gap in understanding under-5 mortality dynamics. This paper outlines a community-based approach to enhance under-5 mortality surveillance in low-income countries, using The Gambia as a case study. The methodology involves Health and Demographic Surveillance Systems (HDSSs) in Basse and Fuladu West, employing unique identification numbers, periodical household visits and collaboration with communities, village reporters and project field workers to ensure comprehensive data collection. Verbal autopsies (VAs) are conducted by trained field workers, and causes of death are determined using the physician-certified VA method. Between 1 September 2019 and 1 September 2023, 1333 deaths were detected, for which causes of death were determined for 97.1% (1294 of 1333). The most common causes of death detected were acute respiratory infections including pneumonia, sepsis, diarrhoeal diseases and birth asphyxia. Challenges include the cost of maintaining the HDSSs, poor road infrastructure, Electronic Data Capture transition challenges, and the need for national integration of HDSS data into the CRVS system. The success of this model highlights its potential for scalable and adaptable under-5 mortality surveillance in resource-limited settings.

Processed food consumption and risk of non-communicable diseases (NCDs) in South Africa: evidence from Demographic and Health Survey (DHS) VII.

We aimed to analyse the association between processed food consumption and the risk of non-communicable diseases (NCDs) in South Africa. In this empirical study, we analysed nationally representative secondary data obtained from the South African Demographic and Health Survey (SADHS) VII. The survey included 13,288 occupied households, of which 11,083 were interviewed. In the interviewed households, 12,717 eligible adults aged 15 and older were identified and 10,336 were successfully interviewed. The study included four processed food groups (i.e. fried foods, takeaway foods/fast foods, salty snacks/packed chips, and processed meats) and eight NCDs (i.e. hypertension, cardiac arrest, cancer, stroke, hypercholesterolaemia, diabetes, chronic bronchitis, and asthma). As per the logistic regression results following adjustment, none of the disease states showed association with all four processed food groups. However, at least three processed food groups showed a significant positive association with hypertension, cardiac arrest, and diabetes. Two processed food groups showed significant positive association with stroke, and chronic bronchitis; one with hypercholesterolaemia and asthma; and cancer was not associated with any food groups. Processed meat and salted snacks/packed chips were each associated with five chronic conditions. In summary, we found that the consumption of any of the processed food groups increased the risk of NCDs in the South African population. Enabling policy and regulatory efforts in the production and distribution of processed foods, combined with improved awareness among the population need to be prioritised for immediate action. Facilitating the populations to choose traditional healthy diets would be a sustainable strategy for the prevention of NCDs.

Determinants of self-rated health among highly educated Ukrainian women refugees in Czechia: analysis based on cross-sectional study in 2022.

BACKGROUND: Russia's military aggression against Ukraine set in motion a large number of refugees. Considerable amount of them came and stayed in Czechia. Refugees represent special vulnerable individuals often affected by war physically and psychologically. Due to the national regulations not allowing most of Ukrainian men aged 18-60 to leave the country, nowadays Ukrainian forced migration is relatively young and strongly gendered. Evidence suggests the higher probability for searching the safe refuge abroad among Ukrainian women with small children as well as those with relatively higher economic and cultural capital. The aim of this study is to identify the structural features of systemic risks associated with war migration by examining determinants of self-rated health among forcibly displaced highly educated Ukrainian women of productive age residing in Czechia. METHODS: Data from one wave of the panel survey among Ukrainian refugees in Czechia conducted in September 2022 was used. Determinants of self-rated health including self-reported diseases and healthcare factors, lifestyle, human and social capital, economic factors, and migration characteristics were analysed using binary logistic regression. RESULTS: About 45% highly educated Ukrainian women refugees in Czechia assessed their health as poor. The poor self-rated health was mostly associated with the number of diseases and depressive symptoms, and by social capital and economic factors. Having four and more diseases (OR = 13.26; 95%-CI: 5.61-31.35), showing some severe depressive symptoms (OR = 7.20; 95%-CI: 3.95-13.13), experiencing difficulties to seek help from others (OR = 2.25; 95%-CI: 1.20-4.23), living alone in a household (OR = 2.67; 95%-CI: 1.37-5.27), having severe material deprivation (OR = 2.70; 95%-CI: 1.35-5.41) and coming originally from the eastern part of Ukraine (OR = 2.96; 95%-CI: 1.34-6.55) increased the chance of these refugees to assess their health as poor. CONCLUSION: Social and economic determinants such as lack of social contacts for seeking help and material deprivation were found to be crucial for self-rated health and should be tackled via migration policies. Further, qualitative research is needed to better understand the mechanisms behind the factors affecting subjectively assessed health.

Unlocking gender dynamics in food and nutrition security in Ghana: assessing dietary diversity, food security, and crop diversification among cocoa household heads in the Juaboso-Bia cocoa landscape.

BACKGROUND: Malnutrition is a worldwide problem that impacts every country, affecting one in three individuals, including Ghana. According to estimates from the Food and Agriculture Organization (FAO), 690 million people were undernourished globally in 2019. Malnutrition is no exception in rural cocoa communities in Ghana. The expansion of cocoa is causing food insecurity and low dietary diversity in most cocoa-growing areas. There is little information on the food security status and dietary diversity among male-headed and female-headed cocoa households in the Juaboso-Bia cocoa landscape. Thus, this study sought to explore the dietary diversity distribution, food security status, sources of staple food, food unavailability periods, food production status, themes contributing to low dietary diversity and food insecurity, and perception of the impact of cocoa expansion on crop diversification among male-headed and female-headed cocoa households in the study area. METHODS: Both quantitative and qualitative research methods were employed to address the research questions. The study collected 200 semi-structured questionnaire data and 14 in-depth interview data from cocoa household heads in the Juaboso-Bia landscape. The survey data was cleaned and analysis, such as household dietary diversity status, food security status, and binary logistic regression were performed in the Statistical Package for Social Scientists (SPSS). The in-depth interviews were analyzed using thematic analysis. RESULTS: Through this study, it was revealed that 62.8% of the male-headed cocoa households had medium to high dietary diversity compared to their female counterparts 39.3%. About 47.9% of the male-headed households were food secure than the female-headed households (29.1%). Moreover, the months that both male and female-headed households recalled facing severe food unavailability were July and June. In addition, climate change/variability, unavailable lands, poverty, large household size, and gender stereotypes were themes promoting low dietary diversity and food insecurity among male and female-headed households. Furthermore, sex, total household income, and cropland conversion to cocoa were the variables influencing household heads' perception of the impact of cocoa expansion on crop diversification. CONCLUSIONS: The study showed that the male-headed cocoa households had high dietary diversity and were food secure than the female-headed cocoa households, lending credence to the conceptual framework applied in this study. There is a significant relationship between household head gender and food security status. Therefore, this study recommends the following interventions to improve dietary diversity and food security among male and female-headed cocoa households: raise awareness about the need for diverse diets and provide practical information on how to incorporate a greater variety of food groups into their daily meals; and promote gender equity and inclusivity in food security interventions. Future research could investigate how gender mainstreaming policies in agriculture have helped empower and improve the food security of female-headed households in Ghana.

A monetary model of global peace and health.

BACKGROUND: This study aims to expand on the concept of peace and health by drawing from Keynes' theory of the economic consequences of peace, in light of the global pandemic experienced in 2020 due to COVID_19. METHODS: In this paper, I will elaborate on the concept of 'security', as an indicator of peace in the time of biological shocks, in order to expand the definition of Keynesian precautionary motivation. This puts forth a new monetary policy model developed to make contributions to achieving global peace. In so doing, I will calculate the optimal growth rate of discount rate through utilizing the Global Peace Index (GPI), adjusted by the Case Fatality Risk (CFR) of COVID-19 in a dynamic shopping time monetary model. This analysis is comprised of the top 15 GDP countries as well as the 10 most and least peaceful countries in 2020. RESULTS: The results indicate that households in more peaceful and healthy countries tend to hold less money compared to those in less peaceful and healthy countries. Besides, the discount rate needs to be reduced due to the outbreak of COVID-19 and the decrease in the level of peace in the economy. CONCLUSION: Insofar as the imposition of fines through international legal circles on countries with an insignificant health and peace policy will increase the cost of liquidity, other alternative methods of financing will be affor dable for the countries.

The evolution of household forgone essential care and its determinants during the COVID-19 pandemic in Nigeria: A longitudinal analysis.

Apart from the morbidity and mortality, the Coronavirus disease 2019 (COVID-19) pandemic has increased the predisposition of households in Nigeria to forgone care, thereby increasing their vulnerability to adverse health consequences. Since there is no previous study in Nigeria on the evolution of pandemic-related forgone care and its drivers, our study assess the evolution of the problem using descriptive and nationally representative panel data analyses. We found about a 30% prevalence of forgone care during the lockdown, which declined progressively afterwards, dropping by 69.50 percentage points between April 2020 and April 2022. This decline produced a surge in households needing care from about 35.00% in the early pandemic to greater than 50%, beginning in early 2021. The forgone care was primarily due to financial hindrances, movement restrictions, and supply-side disruptions. Household socioeconomic factors such as income loss had 2.74 [95%CI: 1.45-5.17] times higher odds of forgone care, job loss, food insecurity, and poverty were 87% (OR: 1.87 [95%CI: 1.25-2.79]), 60% (OR: 1.60 [95%CI: 1.12-2.31]) and 76% (OR: 1.76 [95%CI: 1.12-2.75]) more likely to predispose households to forgone care, respectively. Also, geographical location, such as the South-South zone, induced 1.98 [95%CI: 1.09-3.58] times higher odds of forgone care than North-Central. A married female household head increased the odds by 6.07 [95%CI: 1.72-21.47] times compared with an unmarried female head. However, having a married household head, social assistance, and North-East or North-West zone compared with North-Central increased the chance of accessing care by 69% (OR 0.31 [95%CI: 0.16-0.59]), 59%,(OR 0.41 [95%CI: 0.21-0.77]), 72% (OR 0.28 [95%CI: 0.15-0.53]) and 64% (OR 0.36 [95%CI: 0.20-0.65]), respectively. Non-communicable diseases, disability, old age, large household size and rural-urban location did not affect the forgone care. Our study highlights the need to strengthen Nigeria's health system, create policies to promote healthcare accessibility and prepare the country for future pandemic challenges.

Determinants of household decision making autonomy among rural married women based on Ethiopian demography health survey: a multilevel analysis.

INTRODUCTION: Decisions made at the household level have great impact on the welfare of the individual, the local community, as well as the welfare of the nation. Women's independent decision on reproductive health increases women's access to health information and utilization of reproductive services. This has great impact on maternal and child health outcomes. However, women in developing or low-income countries often have limited autonomy and control over their household decisions. Therefore the main purpose of this research project is to investigate the potential determinants of rural women's household decision making autonomy. METHODS: A multi level analysis was performed using the fourth Ethiopian Demographic and Health Survey (EDHS) 2016 data set. A weighted sample of 8,565 married rural women was included in the final analysis. Women were considered to be autonomous if they made decisions alone or jointly with their husband in all three household decision components. It was dichotomized as yes = 1 and no = 0. Multico linearity and chi-square tests were checked and variables which did not fulfill the assumptions were excluded from the analysis. Four models were fitted. Variables with p-value ≤ 0.25 in the bi-variable multilevel logistic regression were included in the multivariable multilevel logistic regression. The Adjusted Odds Ratio (AOR) with a 95% confidence interval (95% CI) was computed. Variables with a P-value of less than 0.05 in the multi-variable multilevel logistic regression were declared as statistically significant predictors. RESULT: A total of 8,565 weighted participants involved. From the total respondents, 68.55% (CI: 67.5%, 69.5%) of women had decision making autonomy. wealth index (poor: AOR: 0.84; 95% CI: 0.72, 0.97 and middle: AOR: 0.85; 95% CI 0.73, 0.98), literacy (illiterate: AOR: 0.75; 95% CI: 0.66, 0.86), respondents working status (Not working; AOR 0.68; 95% CI; 0.60, 0.76) ,who decides on marriage (parents: AOR 0.76; 95% CI; 0.67, 0.87), and proportion of early marriage in the community (high proportion of early marriage AOR: 1.35; 95% CI; 1.10, 1.72). CONCLUSION: Women decision making autonomy was significantly determined by women economic participation (their wealth and their working status), women's literacy, proportion of early marriage in the community and women's involvement in decision of their marriage. Improving women's economic participation and enhancing women's participation to decide on their marriage will enhance women's decision making autonomy.

Modeling time to death for under-five children in Malawi using 2015/16 Demographic and Health Survey: a survival analysis.

BACKGROUND: Malawi has one of the highest under-five mortality rates in Sub Sahara Africa. Understanding the factors that contribute to child mortality in Malawi is crucial for the development and implementation of effective interventions to reduce child mortality. The aim of this study is to use survival analysis in modeling time to death for under-five children in Malawi. In turn, identify potential risk factors for child mortality and inform the development of interventions to reduce child mortality in the country. METHOD: This study used data from all births that occurred in the five years leading up to the 2015/16 Malawi Demographic and Health Survey. The Frailty hazard model was applied to predict infant survival in Malawi. In this analysis, the outcome of interest was death and it had two possible outcomes: "dead" or "alive". Age at death was regarded as the survival time variable. Infants who were still alive at the time of the study as of the day of the interview were considered as censored observations in the analysis. RESULTS: A total of 17,286 live births born during the 5 years preceding the survey were analysed. The study found that the risk of death was higher among children born to mothers aged 30-39 and 40 or older compared to teen mothers. Infants whose mothers attended fewer than four antenatal care visits were also found to be at a higher risk of death. On the other hand, the study found that using mosquito nets and early breastfeeding were associated with a lower risk of death, as were being male and coming from a wealthier household. CONCLUSION: The study reveals a notable decline in infant mortality rates as under-five children age, underscoring the challenge of ensuring newborn survival. Factors such as maternal age, birth order, socioeconomic status, mosquito net usage, early breastfeeding initiation, geographic location, and child's sex are key predictors of under-five mortality. To address this, public health strategies should prioritize interventions targeting these predictors to reduce under-five mortality rates.

An analysis of financial protection and financing incidence of out-of-pocket health expenditures in Kazakhstan from 2018 to 2021.

Universal health coverage relies on providing essential medical services and shielding individuals from financial risks. Our study assesses the progressivity of out-of-pocket (OOP) payments, identifies factors contributing to healthcare expenditure inequality, and examines catastrophic health expenditures (CHE) prevalence in Kazakhstan from 2018 to 2021. Using retrospective analysis of National Statistics Bureau data, we employed STATA 13 version for calculations CHE incidence, progressivity, Lorenz and concentration curves. In 2020-2021, OOP expenditures in Kazakhstan decreased, reflecting a nearly twofold reduction in the CHE incidence to 1.32% and 1.24%, respectively. However, during these years, we observe a transition towards a positive trend in the Kakwani index to 0.003 and 0.005, respectively, which may be explained by household size and education level factors. Increased state financing and quarantine measures contributed to reduced OOP payments. Despite a low healthcare expenditure share in gross domestic product, Kazakhstan exhibits a relatively high private healthcare spending proportion. The low CHE incidence and proportional expenditure system suggest private payments do not significantly impact financial resilience, prompting considerations about the role of government funding and social health insurance in the financing structure.

Factors associated with the risk of malaria among children: analysis of 2021 Nigeria Malaria Indicator Survey.

BACKGROUND: Malaria remains a burden globally, with the African region accounting for 94% of the overall disease burden and deaths in 2019. It is the major cause of morbidity and mortality among children in Nigeria. Though different environmental factors have been assessed to influence the distribution and transmission of malaria vectors, there is a shortage of information on how they may influence malaria transmission among under-fives in Nigeria. METHODS: This study was based on the secondary data analysis of the Nigeria Malaria Indicator Survey 2021. The study sample comprised 10,645 women (aged 15-49) who delivered a child in the 2 years preceding the survey. The study was restricted to under-fives. Logistic regression was used to identify factors associated with the risk of malaria. RESULTS: There was a positive association between the risk of malaria and heard/seen malaria messages in the last 6 months (AOR 1.39, 95% CI 1.19-1.62), houses with walls built using rudimentary materials (AOR = 1.38, 95% CI 1.04-1.83), at least 6 children living in the house (AOR 1.22, 95% CI 1.00-1.49), children being 1 or 2 years old was associated with increased odds (AOR 1.89, 95% CI 1.50-2.34 and AOR 1.89, 95% CI 1.52-2.36), children from households with only treated nets (AOR 1.23, 95% CI 1.04-1.46) and those from the North West or South East regions (AOR 1.50, 95% CI 1.10-2.05 and AOR 1.48, 95% CI 1.01-2.16), respectively. All other predictors were not associated with the risk of malaria. CONCLUSION: The factors associated with the risk of malaria in this study included sleeping under treated mosquito nets, the age of the children, residing in the northwest and southeast regions, wall construction material, 6 children and above in the household and hearing/seen malaria messages in the last 6 months. Continuous health education and public health interventions, such as the provision of LLITNs, will reduce the risk of malaria and improve the health and well-being of children under 5 years of age.

Developing Sampling Weights for Statistical Analysis of Parent-Child Pair Data From the National Health Interview Survey.

The National Health Interview Survey (NHIS), conducted by the National Center for Health Statistics since 1957, is the principal source of information on the health of the U.S. civilian noninstitutionalized population. NHIS selects one adult (Sample Adult) and, when applicable, one child (Sample Child) randomly within a family (through 2018) or a household (2019 and forward). Sampling weights for the separate analysis of data from Sample Adults and Sample Children are provided annually by the National Center for Health Statistics. A growing interest in analysis of parent-child pair data using NHIS has been observed, which necessitated the development of appropriate analytic weights. Objective This report explains how dyad weights were created such that data users can analyze NHIS data from both Sample Children and their mothers or fathers, respectively. Methods Using data from the 2019 NHIS, adult-child pair-level sampling weights were developed by combining each pair's conditional selection probability with their household-level sampling weight. The calculated pair weights were then adjusted for pair-level nonresponse, and large sampling weights were trimmed at the 99th percentile of the derived sampling weights. Examples of analyzing parent-child pair data by means of domain estimation methods (that is, statistical analysis for subpopulations or subgroups) are included in this report. Conclusions The National Center for Health Statistics has created dyad or pair weights that can be used for studies using parent-child pairs in NHIS. This method could potentially be adapted to other surveys with similar sampling design and statistical needs.

Cash transfers to enhance completion of TB screening among household contacts in rural Tanzania.

Tanzanian TB guidelines recommend facility-based TB screening for symptomatic household contacts (HHCs) or those aged <5 years, but cost remains a major barrier. In this study, we evaluate the use of unconditional cash transfers (UCTs) to facilitate completion of HHC TB screening.In this prospective interventional study, we enrolled index people diagnosed with TB (PWTB) within 8 weeks of TB treatment initiation from the TB clinic at Haydom Lutheran Hospital, Haydom, Tanzania, and surrounding TB dispensaries in rural Tanzania. The study provided at the time of enrollment an UCT up to 40,000 Tanzanian shillings (USD16.91) directly to heads of households with PWTB, covered medical costs from screening activities and provided three bi-weekly phone reminders to facilitate HHC TB screening. The primary outcome was TB screening completion for all HHCs compared to the same period of the preceding year.We enrolled 120 index PWTB, including 398 HHCs between July and December 2022. The median age for index PWTB was 35 years; 38% were females. Sixty-five (54%) households completed screening for all HHCs, compared to 7% during the same period of the preceding year.These interventions may considerably improve completion of HHC TB screening in rural Tanzania..

Do improvements in infant and young child feeding (IYCF) practices endure the test of time?

BACKGROUND: Reducing malnutrition is a key priority for governments in low- and middle-income countries given its lasting effects on child development, health, income, and economic growth. Strategies to improve recommended infant and young child feeding (IYCF) practices, especially during the first two years of life, are considered among the most effective. METHODS: In this paper, we evaluate the long-run impacts of an innovative education strategy based on interactive play and performing arts implemented in El Alto, Bolivia on caregivers' IYCF knowledge and practices. Two thousand and fifteen households were randomly assigned to intervention and control groups. Two rounds of data were collected approximately 30 and 42 months after baseline. We estimate short-term (30 month) and longer-term (42 month) intent-to-treat effects using multivariate linear regression analysis, with and without controlling for covariates. RESULTS: The program significantly increased caregiver IYCF knowledge by 0.13 SDs in the short run, and this effect grew over time. The program also improved adherence to recommended IYCF practices by 0.23 standard deviations (SDs) in the short term, but the effect on practices dissipated over time, and no longer-term impacts were detected. Caregivers with above median baseline knowledge, number of children, and age appear to have benefited most from the program. CONCLUSIONS: Our findings suggest that entertainment-education interventions are a promising model for improving and maintaining IYCF knowledge. However, their ability to sustain more permanent changes in IYCF practices is less certain. Further evidence is needed to identify other avenues for producing long-term, sustainable behavior change, especially among indigenous populations in Latin America, where literature on education and behavior-change interventions related to IYCF practices is limited.

Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers.

Identifying factors linked to autism traits in the general population may improve our understanding of the mechanisms underlying divergent neurodevelopment. In this study we assess whether factors increasing the likelihood of childhood autism are related to early autistic trait emergence, or if other exposures are more important. We used data from 536 toddlers from London (UK), collected at birth (gestational age at birth, sex, maternal body mass index, age, parental education, parental language, parental history of neurodevelopmental conditions) and at 18 months (parents cohabiting, measures of socio-economic deprivation, measures of maternal parenting style, and a measure of maternal depression). Autism traits were assessed using the Quantitative Checklist for Autism in Toddlers (Q-CHAT) at 18 months. A multivariable model explained 20% of Q-CHAT variance, with four individually significant variables (two measures of parenting style and two measures of socio-economic deprivation). In order to address variable collinearity we used principal component analysis, finding that a component which was positively correlated with Q-CHAT was also correlated to measures of parenting style and socio-economic deprivation. Our results show that parenting style and socio-economic deprivation correlate with the emergence of autism traits at age 18 months as measured with the Q-CHAT in a community sample.

Rural household vulnerability and COVID-19: Evidence from India.

The coronavirus disease 2019 (COVID-19) pandemic has affected vulnerable households' livelihoods in developing countries. Using high-frequency phone survey data from the World Bank, we assess rural Indian households' vulnerability and poverty status during the pandemic. Results reveal that over three-fifths of Indian rural households are vulnerable to poverty in the context of COVID-19, despite India's evident progress in mitigating poverty in the pre-pandemic era. Poverty plays a major role in accounting for variations in household vulnerability; however, the impact of risks on household welfare is not negligible. On average, households with more members, older household heads, and more outmigrants are more vulnerable to poverty during the pandemic. The impacts of the gender of the household head, access to masks, consumption loans, and COVID-related information are nevertheless insignificant. Results stress the urgent necessity of deploying concerted interventions to strengthen household vulnerability in rural India.

Does internet use improve employment?--Empirical evidence from China.

Achieving comprehensive and high-quality employment is essential to achieving new levels of people's well-being. The advancement of Internet technology not only affect the massiveness of employment, but also the quality of that. On the basis of constructing an employment quality evaluation index system, this article uses CLDS (China Labor-force Dynamics Survey) data to explore the impact of Internet use on the employment quality of workers and its underlying mechanisms. The results reveal that Internet use has a significant positive impact on improving the employment quality of workers. As the quantile of employment quality increases, internet use has a greater impact on workers with a lower employment quality quantile. In addition, the use of Internet has a more significant promoting effect on the employment quality of rural and female workers. From the perspective of mechanism, Internet use can increase workers' social capital and influence their employment quality through the accumulation of social capital. Based on this, countermeasures and suggestions are put forward from the aspects of increasing investment and construction of Internet infrastructure, further perfecting the reform of household registration system, promoting human capital investment and social capital construction.

Land as a binding constraint to cluster-based development in Ethiopia: To cluster or not to cluster?

INTRODUCTION: As one of the agglomeration models targeting cluster-based rural development, cluster farming has been promoted in Ethiopia and it is already reported to have significant welfare implications, but participation rates are not as high as expected. This study examines the role of land as a constraint to the development of cluster-based development in Ethiopia both using extensive and intensive measures of cluster farming. The study further disaggregates farm households based on their farm size to better understand potential heterogeneities in the relationship between farm size and cluster farming. The paper also documents other household socio-economic and network characteristics that may matter in cluster farming. METHODS: We use a large-scale farm household data from 3,969 households coupled with some expert insights on cluster farming in Ethiopia. Households in the study areas grow major staples such as maize, wheat, teff, malt barley, and sesame in four main regions of Ethiopia. We employ a double hurdle model to examine both the decision to participate and the extent to which households participate in cluster farming. By extent of participation, we refer to the amount of land and share of land farm households contribute to cluster farming. For robustness purposes, we also estimate the Tobit and Linear Probability Models. RESULTS: We show a positive association between farm size and cluster farming both at the extensive and intensive margins. This relationship turns negative for large amounts of land. This shows that cluster farming increases with farm size up to a threshold beyond which it declines. We also find suggestive evidence that participation rates are lower for small-scale farms, but also declines for large-scale farms. In addition, we show that access to information and network characteristics also matter in enabling cluster farming. CONCLUSION: The findings of this study are relevant in the framework of plans to upscale the cluster-based development initiative in Ethiopia. Attention to landholding issues is key and may be an important area where policy action can be geared to boost cluster farming. Moreover, our results inform potential targeting plans that aim to increase the participation of small-scale farmers who are usually the intended targets of such programs.