Birth and postnatal outcomes among infants of immigrant parents of different admission categories and parents born in Canada: a population-based retrospective study.

BACKGROUND: Most studies of disparities in birth and postnatal outcomes by parental birthplace combine all immigrants into a single group. We sought to evaluate heterogeneity among immigrants in Canada by comparing birth and postnatal outcomes across different immigration categories. METHODS: We conducted a population-based retrospective study using Statistics Canada data on live births and stillbirths (1993-2017) and infant deaths (1993-2018), linked to parental immigration data (1960-2017). We classified birthing parents as born in Canada, economic-class immigrants, family-class immigrants, or refugees, and evaluated differences in preterm births, small-for-gestational-age (SGA) and large-for-gestational-age (LGA) births, stillbirths, and infant deaths among singleton births by group. RESULTS: Among 7 980 650 births, 1 715 050 (21.5%) were to immigrants, including 632 760 (36.9%) in the economic class, 853 540 (49.8%) in the family class, and 228 740 (13.4%) refugees. Compared with infants of Canadian-born birthing parents, infants of each of the 3 immigrant groups had higher risk of preterm birth, SGA birth, and stillbirth, but lower risk of LGA birth and neonatal death. Compared with infants of economic-class immigrants, infants of refugees had higher risk of early preterm birth (0.9% v. 0.8%, adjusted risk ratio [RR] 1.08, 95% confidence interval [CI] 1.01-1.15) and LGA birth (9.2% v. 7.5%, adjusted RR 1.12, 95% CI 1.10-1.15), but lower risk of SGA birth (10.2% v. 11.0%, adjusted RR 0.92, 95% CI 0.90-0.94), while infants of family-class immigrants had higher risk of SGA birth (12.2% v. 11.0%, adjusted RR 1.01, 95% CI 1.00-1.02). Risk of stillbirth, neonatal death, and overall infant death did not differ significantly among immigrant groups. INTERPRETATION: Heterogeneity exists in outcomes of infants born to immigrants to Canada across immigration categories. These results highlight the importance of disaggregating immigrant populations in studies of health disparities.

Do tuition-free lower secondary education policies matter for antenatal care among women in sub-saharan African countries?

BACKGROUND: Antenatal care (ANC) is critical to reducing maternal and infant mortality. However, sub-Saharan Africa (SSA) continues to have among the lowest levels of ANC receipt globally, with half of mothers not meeting the WHO minimum recommendation of at least four visits. Increasing ANC coverage will require not only directly reducing geographic and financial barriers to care but also addressing the social determinants of health that shape access. Among those with the greatest potential for impact is maternal education: past research has documented a relationship between higher educational attainment and antenatal healthcare access, as well as related outcomes like health literacy and autonomy in health decision-making. Yet little causal evidence exists about whether changing educational policies can improve ANC coverage. This study fills this research gap by investigating the impact of national-level policies that eliminate tuition fees for lower secondary education in SSA on the number of ANC visits. METHODS: To estimate the effect of women's exposure to tuition-free education policies at the primary and lower secondary levels on their ANC visits, a difference-in-difference methodology was employed. This analysis leverages the variation in the timing of education policies across nine SSA countries. RESULTS: Exposure to tuition-free primary and lower secondary education is associated with improvements in the number of ANC visits, increasing the share of women meeting the WHO recommendation of at least four ANC visits by 6-14%. Moreover, the impact of both education policies combined is greater than that of tuition-free primary education alone. However, the effects vary across individual treatment countries, suggesting the need for further investigation into country-specific dynamics. CONCLUSIONS: The findings of this study have significant implications for policymakers and stakeholders seeking to improve ANC coverage. Removing the tuition barrier at the secondary level has shown to be a powerful strategy for advancing health outcomes and educational attainment. As governments across Africa consider eliminating tuition fees at the secondary level, this study provides valuable evidence about the impacts on reproductive health outcomes. While investing in free education requires initial investment, the long-term benefits for both human development and economic growth far outweigh the costs.

Survival among children under-five in India: a parametric multilevel survival approach.

BACKGROUND: Many studies have been conducted on under-five mortality in India and most of them focused on the associations between individual-level factors and under-five mortality risks. On the contrary, only a scarce number of literatures talked about contextual level effect on under-five mortality. Hence, it is very important to have thorough study of under-five mortality at various levels. This can be done by applying multilevel analysis, a method that assesses both fixed and random effects in a single model. The multilevel analysis allows extracting the influence of individual and community characteristics on under-five mortality. Hence, this study would contribute substantially in understanding the under-five mortality from a different perspective. METHOD: The study used data from the Demographic and Health Survey (DHS) acquired in India, i.e., the fourth round of National Family and Health Survey (2015-16). It is a nationally representative repeated cross-sectional data. Multilevel Parametric Survival Model (MPSM) was employed to assess the influence of contextual correlates on the outcome. The assumption behind this study is that 'individuals' (i.e., level-1) are nested within 'districts' (i.e., level-2), and districts are enclosed within 'states' (i.e., level-3). This suggests that people have varying health conditions, residing in dissimilar communities with different characteristics. RESULTS: Highest under-five mortality i.e., 3.85% are happening among those women whose birth interval is less than two years. In case of parity, around 4% under-five mortality is among women with Third and above order parity. Further, findings from the full model is that ICC values of 1.17 and 0.65% are the correlation of the likelihood of having under-five mortality risk among people residing in the state and district communities, respectively. Besides, the risk of dying was increased alarmingly in the first year of life and slowly to aged 3 years and then it remains steady. CONCLUSION: This study has revealed that both aspects viz. individual and contextual effect of the community are necessary to address the importance variations in under-five mortality in India. In order to ensure substantial reduction in under-five mortality, findings of the study support some policy initiatives that involves the need to think beyond individual level effects and considering contextual characteristics.

[The mortality of children population].

The article presents comprehensive medical statistical analysis of indicators and causes of mortality of children population of the Russian Federation in 2017-2021. It is emphasized that in Russia, in conditions of extremely unfavorable demographic situation, the hyper actual task is to preserve life of every child. It is demonstrated that crucial role in mortality of children population is played by not only infant mortality and mortality of children aged 1-4 years, but also by mortality of children of older ages. The children population mortality still keeps gender and residence differences. The problem of reliable registration of infant mortality is to be revisited since part of newborns born alive are classified after birth as stillborn. Beginning from 2018, the first place was taken by the class "Injuries, poisonings and some other consequences of external causes" driving back the class "Individual conditions occurring in perinatal period". Thus, measures of preventing negative impact of social factors on children health continue to be an important component of modern system of health care of children population. The directions of measures reducing children mortality in Russia are proposed.

Predictors of neonatal mortality among neonates admitted to the neonatal intensive care unit at Hawassa University Comprehensive Specialized Hospital, Sidama regional state, Ethiopia.

BACKGROUND: Despite promising efforts, substantial deaths occurred during the neonatal period. According to estimates from the World Health Organization (WHO), Ethiopia is among the top 10 nations with the highest number of neonatal deaths in 2020 alone. This staggering amount makes it difficult to achieve the SDG (Sustainable Development Goals) target that calls for all nations to work hard to meet a neonatal mortality rate target of ≤ 12 deaths per 1,000 live births by 2030. We evaluated neonatal mortality and it's contributing factors among newborns admitted to the Neonatal Intensive Care Unit (NICU) at Hawassa University Comprehensive Specialized Hospital (HUCSH). METHODS: A hospital-based retrospective cross-sectional study on neonates admitted to the NICU from May 2021 to April 2022 was carried out at Hawassa University Comprehensive Specialized Hospital. From the admitted 1044 cases over the study period, 225 babies were sampled using a systematic random sampling procedure. The relationship between variables was determined using bivariate and multivariable analyses, and statistically significant relations were indicated at p-values less than 0.05. RESULTS: The magnitude of neonatal death was 14.2% (95% CI: 0.099-0.195). The most common causes of neonatal death were prematurity 14 (43.8%), sepsis 9 (28.1%), Perinatal asphyxia 6 (18.8%), and congenital malformations 3 (9.4%). The overall neonatal mortality rate was 28 per 1000 neonate days. Neonates who had birth asphyxia were 7.28 times more probable (AOR = 7.28; 95% CI: 2.367, 9.02) to die. Newborns who encountered infection within the NICU were 8.17 times more likely (AOR = 8.17; 95% CI: 1.84, 36.23) to die. CONCLUSION: The prevalence of newborn death is excessively high. The most common causes of mortality identified were prematurity, sepsis, perinatal asphyxia and congenital anomalies. To avert these causes, we demand that antenatal care services be implemented appropriately, delivery care quality be improved, and appropriate neonatal care and treatment be made available.

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.

Uncovering the causes and socio-demographic constructs of stillbirths and neonatal deaths in an urban slum of Karachi.

INTRODUCTION: Neonatal deaths and stillbirths are significant public health concerns in Pakistan, with an estimated stillbirth rate of 43 per 1,000 births and a neonatal mortality rate of 46 deaths per 1,000 live births. Limited access to obstetric care, poor health seeking behaviors and lack of quality healthcare are the leading root causes for stillbirths and neonatal deaths. Rehri Goth, a coastal slum in Karachi, faces even greater challenges due to extreme poverty, and inadequate infrastructure. This study aims to investigate the causes and pathways leading to stillbirths and neonatal deaths in Rehri Goth to develop effective maternal and child health interventions. METHODS: A mixed-method cohort study was nested with the implementation of large maternal, neonatal and child health program, captured all stillbirths and neonatal death during the period of May 2014 till June 2018. The Verbal and Social Autopsy (VASA) tool (WHO 2016) was used to collect primary data from all death events to determine the causes as well as the pathways. Interviews were conducted both retrospectively and prospectively with mothers and caregivers. Two trained physicians reviewed the VASA form and the medical records (if available) and coded the cause of death blinded to each other. Descriptive analysis was used to categorize stillbirth and neonatal mortality data into high- and low-mortality clusters, followed by chi-square tests to explore associations between categories, and concluded with a qualitative analysis. RESULTS: Out of 421 events captured, complete VASA interviews were conducted for 317 cases. The leading causes of antepartum stillbirths were pregnancy-induced hypertension (22.4%) and maternal infections (13.4%), while obstructed labor was the primary cause of intrapartum stillbirths (38.3%). Neonatal deaths were primarily caused by perinatal asphyxia (36.1%) and preterm birth complications (27.8%). The qualitative analysis on a subset of 40 death events showed that health system (62.5%) and community factors (37.5%) contributing to adverse outcomes, such as delayed referrals, poor triage systems, suboptimal quality of care, and delayed care-seeking behaviors. CONCLUSION: The study provides an opportunity to understand the causes of stillbirths and neonatal deaths in one of the impoverished slums of Karachi. The data segregation by clusters as well as triangulation with qualitative analysis highlight the needs of evidence-based strategies for maternal and child health interventions in disadvantaged communities.

Female labour participation and infant mortality in Nigeria: implication for the sustainable development goal 3.

Over the time, link between female labour participation and infant mortality has become a subject of debate among scholars and policymakers in developing countries. This subject becomes more critical for a country like Nigeria where there is a persistent challenge to attain minimal global infant mortality rates by 2030, and where over 47% of female working population is unemployed. Against this background, this study utilizes fully modified ordinary least squares to estimate the relationship between female labour participation and infant mortality in Nigeria. The results show that at least 98 children per 1,000 births died in Nigeria between 1990 and 2020. Similarly, over 47% of female working population is currently unemployed in Nigeria. Female labour participation and infant mortality possess a significant negative relationship. Consequently, participation of women in the labour market has a significant effect in reducing infant mortality in Nigeria. In the same vein, female employment contributed to the reduction of infant mortality, though not substantial in nature. As such, the Nigerian policymakers should create a conducive environment that will facilitate participation of more women in the Nigerian labour market so that there will be further reduction of infant mortality in order to achieve the SDG 3.

Au fil du temps, le lien entre la participation des femmes au travail et la mortalité infantile est devenu un sujet de débat parmi les universitaires et les décideurs politiques des pays en développement. Ce sujet devient plus critique pour un pays comme le Nigeria, où il est toujours difficile d'atteindre des taux de mortalité infantile mondiaux minimaux d'ici 2030 et où plus de 47 % de la population active féminine est au chômage. Dans ce contexte, cette étude utilise les moindres carrés ordinaires entièrement modifiés pour estimer la relation entre la participation des femmes au travail et la mortalité infantile au Nigéria. Les résultats montrent qu'au moins 98 enfants pour 1 000 naissances sont morts au Nigeria entre 1990 et 2020. De même, plus de 47 % de la population active féminine est actuellement au chômage au Nigeria. La participation des femmes au travail et la mortalité infantile entretiennent une relation négative significative. Par conséquent, la participation des femmes au marché du travail a un effet significatif sur la réduction de la mortalité infantile au Nigéria. Dans le même ordre d'idées, l'emploi des femmes a contribué à la réduction de la mortalité infantile, même si elle n'est pas substantielle. En tant que tel, les décideurs politiques nigérians devraient créer un environnement propice qui facilitera la participation d'un plus grand nombre de femmes au marché du travail nigérian afin de réduire davantage la mortalité infantile afin d'atteindre l'ODD 3.

Investigation of Factors Influencing Infant Mortality at Greater Accra Regional Hospital, Ghana.

Background: Annually, 5.4 million children under five face mortality, with 2.5 million deaths in the first month, 1.6 million between one and eleven months, and 1.3 million aged one to four. Despite global strides, sub-Saharan Africa, including Ghana, grapples with persistent high child mortality. This study employs statistical methods to pinpoint factors driving under-five mortality in the Greater Accra Regional Hospital. Methods: The data was acquired from Greater Accra Regional Hospital, Ghana, spanning January to December 2020. The data comprised all under-five deaths recorded in the hospital in 2020. The statistical tools employed were the chi-square test of association and the multinomial logistic regression model. Results: In 2020, there were 238 cases of under-five mortality recorded in the hospital, with males constituting the majority (55%). About 85% of these cases occurred within the first month of birth, primarily attributed to respiratory distress, prematurity, and sepsis. Notably, meconium aspiration was the least common among grouped diagnoses. The test of association and multinomial logistic model emphasised the child's age, birth type, and weight at birth as significant factors influencing child mortality. Conversely, attributes like sex, marital status, and mother's age displayed no notable association with the diagnosis of death. Conclusion: The study on child mortality at the Greater Accra Regional Hospital unveils key factors shaping child health outcomes, emphasising the role of age, birth type, and weight. While specific demographics show no significant association, identified predictors are vital for targeted interventions. Proposed strategies encompass education programs, improved care, birthing practices, and data-driven policies.

Antiracism and positive intergenerational (infant) outcomes: A county-level examination of low birth weight and infant mortality.

Racism is associated with negative intergenerational (infant) outcomes. That is, racism, both perceived and structural, is linked to critical, immediate, and long-term health factors such as low birth weight and infant mortality. Antiracism-resistance to racism such as support for the Black Lives Matter (BLM) movement-has been linked to positive emotional, subjective, and mental health outcomes among adults and adolescents. To theoretically build on and integrate such past findings, the present research asked whether such advantageous health correlations might extend intergenerationally to infant outcomes? It examined a theoretical/correlational process model in which mental and physical health indicators might be indirectly related to associations between antiracism and infant health outcomes. Analyses assessed county-level data that measured BLM support (indexed as volume of BLM marches) and infant outcomes from 2014 to 2020. As predicted, in the tested model, BLM support was negatively correlated with 1) low birth weight (Ncounties = 1,445) and 2) mortalities (Ncounties = 409) among African American infants. Given salient, intergroup, policy debates tied to antiracism, the present research also examined associations among White Americans. In the tested model, BLM marches were not meaningfully related to rates of low birth weight among White American infants (Ncounties = 2,930). However, BLM support was negatively related to mortalities among White American infants (Ncounties = 862). Analyses controlled for structural indicators of income inequality, implicit/explicit bias, voting behavior, prior low birth weight/infant mortality rates, and demographic characteristics. Theory/applied implications of antiracism being linked to nonnegative and positive infant health associations tied to both marginalized and dominant social groups are discussed.

A biosocial analysis of perinatal and late neonatal mortality among Indigenous Maya Kaqchikel communities in Tecpán, Guatemala: a mixed-methods study.

INTRODUCTION: Neonatal mortality is a global public health challenge. Guatemala has the fifth highest neonatal mortality rate in Latin America, and Indigenous communities are particularly impacted. This study aims to understand factors driving neonatal mortality rates among Maya Kaqchikel communities. METHODS: We used sequential explanatory mixed methods. The quantitative phase was a secondary analysis of 2014-2016 data from the Global Maternal and Newborn Health Registry from Chimaltenango, Guatemala. Multivariate logistic regression models identified factors associated with perinatal and late neonatal mortality. A number of 33 in-depth interviews were conducted with mothers, traditional Maya midwives and local healthcare professionals to explain quantitative findings. RESULTS: Of 33 759 observations, 351 were lost to follow-up. There were 32 559 live births, 670 stillbirths (20/1000 births), 1265 (38/1000 births) perinatal deaths and 409 (12/1000 live births) late neonatal deaths. Factors identified to have statistically significant associations with a higher risk of perinatal or late neonatal mortality include lack of maternal education, maternal height <140 cm, maternal age under 20 or above 35, attending less than four antenatal visits, delivering without a skilled attendant, delivering at a health facility, preterm birth, congenital anomalies and presence of other obstetrical complications. Qualitative participants linked severe mental and emotional distress and inadequate maternal nutrition to heightened neonatal vulnerability. They also highlighted that mistrust in the healthcare system-fueled by language barriers and healthcare workers' use of coercive authority-delayed hospital presentations. They provided examples of cooperative relationships between traditional midwives and healthcare staff that resulted in positive outcomes. CONCLUSION: Structural social forces influence neonatal vulnerability in rural Guatemala. When coupled with healthcare system shortcomings, these forces increase mistrust and mortality. Collaborative relationships among healthcare staff, traditional midwives and families may disrupt this cycle.

Progress towards universal health coverage and inequalities in infant mortality: an analysis of 4·1 million births from 60 low-income and middle-income countries between 2000 and 2019.

BACKGROUND: Expanding universal health coverage (UHC) might not be inherently beneficial to poorer populations without the explicit targeting and prioritising of low-income populations. This study examines whether the expansion of UHC between 2000 and 2019 is associated with reduced socioeconomic inequalities in infant mortality in low-income and middle-income countries (LMICs). METHODS: We did a retrospective analysis of birth data compiled from Demographic and Health Surveys (DHSs). We analysed all births between 2000 and 2019 from all DHSs available for this period. The primary outcome was infant mortality, defined as death within 1 year of birth. Logistic regression models with country and year fixed effects assessed associations between country-level progress to UHC (using WHO's UHC service coverage index) and infant mortality (overall and by wealth quintile), adjusting for infant-level, mother-level, and country-level variables. FINDINGS: A total of 4 065 868 births to 1 833 011 mothers were analysed from 177 DHSs covering 60 LMICs between 2000 and 2019. A one unit increase in the UHC index was associated with a 1·2% reduction in the risk of infant death (AOR 0·988, 95% CI 0·981-0·995; absolute measure of association, 0·57 deaths per 1000 livebirths). An estimated 15·5 million infant deaths were averted between 2000 and 2019 because of increases in UHC. However, richer wealth quintiles had larger associated reductions in infant mortality from UHC (quintile 5 AOR 0·983, 95% CI 0·973-0·993) than poorer quintiles (quintile 1 0·991, 0·985-0·998). In the early stages of UHC, UHC expansion was generally beneficial to poorer populations (ie, larger reductions in infant mortality for poorer households [infant deaths per 1000 per one unit increase in UHC coverage: quintile 1 0·84 vs quintile 5 0·59]), but became less so as overall coverage increased (quintile 1 0·64 vs quintile 5 0·57). INTERPRETATION: Since UHC expansion in LMICs appears to become less beneficial to poorer populations as coverage increases, UHC policies should be explicitly designed to ensure lower income groups continue to benefit as coverage expands. FUNDING: UK National Institute for Health and Care Research.

Neonatal mortality during the war in Tigray: a cross-sectional community-based study.

BACKGROUND: Neonatal mortality is among the key national and international indicators of health services. The global Sustainable Development Goal target for neonatal mortality is fewer than 12 deaths per 1000 livebirths, by 2030. Neonatal mortality estimates in the 2019 Ethiopian Demographic Health Survey found 25·7 deaths per 1000 livebirths. Subnational surveys specific to Tigray, Ethiopia, reported a neonatal mortality lifetime prevalence of 7·13 deaths. Another government report from the Tigray region estimated a neonatal mortality rate of ten deaths per 1000 livebirths in 2020. Despite the numerous interventions in Ethiopia's Tigray region to achieve the Sustainable Development Goals, the war has disrupted most health services, but the effect on neonatal mortality is unknown. Thus, this study aimed to investigate the magnitude and causes of neonatal mortality during the war in Tigray. METHODS: A cross-sectional community-based study was conducted in Tigray to evaluate neonatal mortality that occurred from Nov 4, 2020, to May 30, 2022. Among the 31 districts, 121 tabias were selected using computer-generated random sampling, and 189 087 households were visited. We adopted a validated WHO 2022 verbal autopsy tool, and data were collected using an interviewer-administrated Open Data Kit. In the absence of the mother, other respondents to the verbal autopsy interview were household members aged 18 years and older who provided care during the final illness that led to death. FINDINGS: 29 761 livebirths were recorded during the screening of 189 087 households. Verbal autopsy was administered for 1158 households with neonatal deaths. 317 neonates were stillborn, and 841 neonatal deaths were recorded with the WHO 2022 verbal autopsy tool from Nov 4, 2020, to May 30, 2022, in 31 districts. The neonatal mortality rate was 28·2 deaths per 1000 livebirths. 476 (57%) of the 841 neonatal deaths occurred at home and 296 (35%) in health facilities. A high rate of neonatal deaths was reported in rural districts (80% [673 of 841]) compared with urban districts (20% [168 of 841]), and 663 (79%) deaths occurred during the early neonatal period, in the first week of life (0-6 days). The leading causes of neonatal death were asphyxia (35% [291 of 834]), prematurity (30% [247 of 834]), and infection (12% [104 of 834]). Asphyxia (37% [246 of 663]) and infection (28% [50 of 178]) were the leading causes of death for early and late neonatal period deaths, respectively. INTERPRETATION: Neonatal mortality in Tigray is high due to preventable causes. An urgent response is needed to prevent the high number of neonatal deaths associated with the depleted health resources and services resulting from the war, and to achieve the Sustainable Development Goal on neonatal mortality. FUNDING: UNICEF and United Nations Fund for Population Activities. TRANSLATION: For the Tigrigna translation of the abstract see Supplementary Materials section.

Association of socioeconomic disadvantage and ethnicity with perinatal neonatal, and infant mortality in Slovakia.

BACKGROUND: Infant mortality rates are reliable indices of the child and general population health status and health care delivery. The most critical factors affecting infant mortality are socioeconomic status and ethnicity. The aim of this study was to assess the association between socioeconomic disadvantage, ethnicity, and perinatal, neonatal, and infant mortality in Slovakia before and during the COVID-19 pandemic. METHODS: The associations between socioeconomic disadvantage (educational level, long-term unemployment rate), ethnicity (the proportion of the Roma population) and mortality (perinatal, neonatal, and infant) in the period 2017-2022 were explored, using linear regression models. RESULTS: The higher proportion of people with only elementary education and long-term unemployed, as well as the higher proportion of the Roma population, increases mortality rates. The proportion of the Roma population had the most significant impact on mortality in the selected period between 2017 and 2022, especially during the COVID-19 pandemic (2020-2022). CONCLUSIONS: Life in segregated Roma settlements is connected with the accumulation of socioeconomic disadvantage. Persistent inequities between Roma and the majority population in Slovakia exposed by mortality rates in children point to the vulnerabilities and exposures which should be adequately addressed by health and social policies.

Survival status and predictors of mortality among preterm neonates admitted in Bench Sheko Zone, Sheka Zone and Keffa Zone Governmental Hospitals, Southwest Ethiopia (2021): prospective follow-up study.

INTRODUCTION: Prematurity presents a significant challenge to the global community due to the rapid increase in its incidence and its disproportionate contribution to increased infant mortality rates. OBJECTIVE: To assess the survival status and predictors of mortality among preterm neonates. DESIGN: A multicentre prospective follow-up study was used. SETTING: 625 preterm neonates were admitted to hospitals for secondary level of care. The study covers the Bench Maji Zone, Keffa Zone, Sheka Zone, nearby woredas and portions of the Gambella area in Southwest Ethiopia. PARTICIPANTS: 614 preterm neonates with gestational age less than 37 weeks were entered for follow-up and 400 neonates were censored. Neonates with severe fetal malformations and neonates who need urgent referral were excluded from the study. RESULTS: Overall, 200 (32.57%) participants died with an incidence rate of 61.69 deaths per 1000 person-day observations (95% CI: 53.71 to 70.86). Poor kangaroo mother care (KMC) services (adjusted HR (AHR)=0.19, 95% CI: 0.12 to 0.29), sex (AHR=0.66, 95%, CI: 0.47 to 0.94), not initiating breast feeding (HR=2.78, 95% CI: 1.8 to 4.28), hypothermia (AHR=0.63, 95% CI: 0.44 to 0.92), anaemia (AHR=6.2, 95% CI: 2.34 to 16.43) and gestational age less than 28 weeks (AHR=9.28, 95% CI: 1.78 to 48.42) were independent predictors. CONCLUSION AND RECOMMENDATION: The rate of preterm neonatal mortality was high compared with the Ethiopia Demographic and Health Survey report nationally. Healthcare workers should encourage KMC services and breastfeeding initiation and prevent preterm neonates from being anaemic to increase their chances of survival.

Neonatal mortalities without detected risk factors before birth at Mtendeli hospital, Tanzania: a cross-sectional study.

Introduction: neonatal mortality rate (NMR) is defined as the probability of dying during the first 28 days of life expressed per 1,000 live births. The death of neonates without risk factors at the end of pregnancy could be an indicator of sub-optimal quality care during labor and care of sick neonates. Therefore, this study aimed to determine the factors associated with neonatal deaths happening without detected risks during prenatal period. Methods: a cross-sectional study was conducted from 2017 to 2021.The recruited pregnant women were those who had a live, term, single-intrauterine pregnancy without detectable fetal abnormality at the time of starting labor. The data were collected through open data kit (ODK) forms that were customized in kobo tool in the tablets. The data analysis was performed using STATA statistical software. The factors associated with neonatal mortality were analyzed in a multiple logistic regression and considered significant if p < 0.05. Results: among the 4401 enrolled mothers, neonatal deaths were 361 (8.2%). The factors associated with death of neonates without risk factors during prenatal period were low Apgar score [AOR = 4.38: 95%CI (2.33-7.72)], male sex [AOR=2.25: 95%CI (1.12-3.81)], gestational age above 40 weeks [AOR=4.79: (2.50-7.61)] and assisted vaginal delivery [AOR = 2.55: 95%CI (1.12-4.96)]. Conclusion: the increased number of neonatal deaths are associated with sex of neonates, low Apgar score, post maturity and assisted vaginal delivery. The hospital-based studies should be done to address the preventable neonatal deaths with no detected risk factors before birth.

Infant Mortality by Selected Maternal Characteristics and Race and Hispanic Origin in the United States, 2019-2021.

Objectives- This report presents infant mortality rates for selected maternal characteristics (prepregnancy body mass index, cigarette smoking during pregnancy, receipt of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) benefits during pregnancy, timing of prenatal care, and source of payment for delivery) for the five largest maternal race and Hispanic-origin groups in the United States for combined years 2019-2021. Methods-Descriptive tabulations based on data from the linked birth/infant death files for 2019-2021 are presented. The linked birth/infant death file is based on birth and death certificates registered in all 50 states and the District of Columbia. Infant mortality rates are presented for each maternal race and Hispanic-origin group overall and by selected characteristics. Results-Infant mortality rates varied across the five largest maternal race and Hispanic-origin groups and by selected maternal characteristics. For most race and Hispanic-origin groups, mortality rates were higher among infants of women with prepregnancy obesity compared with those of women who were normal weight, and were higher for infants of women who smoked cigarettes during pregnancy, received late or no prenatal care, or were covered by Medicaid as the source of payment for delivery. Overall, mortality rates were higher for infants of women who received WIC during pregnancy, but results varied across race and Hispanic-origin groups. Mortality rates for the maternal characteristics examined were generally highest among infants of Black non-Hispanic and American Indian and Alaska Native non-Hispanic women and lowest for Asian non-Hispanic women.

Effectiveness of Postnatal Maternal or Caregiver Interventions on Outcomes among Infants under Six Months with Growth Faltering: A Systematic Review.

The care of infants at risk of poor growth and development is a global priority. To inform new WHO guidelines update on prevention and management of growth faltering among infants under six months, we examined the effectiveness of postnatal maternal or caregiver interventions on outcomes among infants between 0 and 6 months. We searched nine electronic databases from January 2000 to August 2021, included interventional studies, evaluated the quality of evidence for seven outcome domains (anthropometric recovery, child development, anthropometric outcomes, mortality, readmission, relapse, and non-response) and followed the GRADE approach for certainty of evidence. We identified thirteen studies with preterm and/or low birth weight infants assessing effects of breastfeeding counselling or education (n = 8), maternal nutrition supplementation (n = 2), mental health (n = 1), relaxation therapy (n = 1), and cash transfer (n = 1) interventions. The evidence from these studies had serious indirectness and high risk of bias. Evidence suggests breastfeeding counselling or education compared to standard care may increase infant weight at one month, weight at two months and length at one month; however, the evidence is very uncertain (very low quality). Maternal nutrition supplementation compared to standard care may not increase infant weight at 36 weeks postmenstrual age and may not reduce infant mortality by 36 weeks post-menstrual age (low quality). Evidence on the effectiveness of postnatal maternal or caregiver interventions on outcomes among infants under six months with growth faltering is limited and of 'low' to 'very low' quality. This emphasizes the urgent need for future research. The protocol was registered with PROSPERO (CRD42022309001).

Risk factors for unexpected infant death among very premature infants in France.

BACKGROUND: Prematurity is one of the risk factors for sudden unexpected infant death (SUID), a phenomenon that remains poorly explained. MATERIALS AND METHODS: The analysis of specific factors associated with SUID among very premature infants (VPI) was performed through a retrospective review of data collected in the French SUID registry from May 2015 to December 2018. The factors associated with SUID among VPI were compared with those observed among full-term infants (FTI). Results are expressed as means (standard deviation [SD]) or medians (interquartile range [IQR)]. RESULTS: During the study period, 719 cases of SUID were included in the registry, 36 (incidence: 0.60 ‰) of which involved VPI (gestational age: 29.2 [2] weeks, 1157 [364]) g] and 313 (0.18 ‰) involved FTI (gestational age: 40 [0.8] weeks, 3298 [452] g). The infants' postnatal age at the time of death was similar in the two groups: 15.5 (12.2-21.8) vs. 14.5 (7.1-23.4) weeks. We observed low breastfeeding rates and a high proportion of fathers with no occupation or unemployment status among the VPI compared to the FTI group (31% vs. 55 %, p = 0.01 and 32% vs. 13 %, p = 0.05, respectively). Among the VPI, only 52 % were in supine position, and 29 % were lying prone at the time of the SUID (compared to 63 % and 17 %, respectively, in the FTI group). CONCLUSION: This study confirms prematurity as a risk factor for SUID with no difference in the SUID-specific risk factors studied except for breastfeeding and socioeconomic status of the fathers. VPI and FTI died at similar chronological ages with a high proportion of infants dying in prone position. These results argue for reinforcement of prevention strategies in cases of prematurity.

Separating Scarring Effect and Selection of Early-Life Exposures With Genetic Data.

Causal life course research examining consequences of early-life exposures has largely relied on associations between early-life environments and later-life outcomes using exogenous environmental shocks. Nonetheless, even with (quasi-)randomized early-life exposures, these associations may reflect not only causation ("scarring") but also selection (i.e., which members are included in data assessing later life). Investigating this selection and its impacts on estimated effects of early-life conditions has, however, often been ignored because of a lack of pre-exposure data. This study proposes an approach for assessing and correcting selection, separately from scarring, using genetic measurements. Because genetic measurements are determined at the time of conception, any associations with early-life exposures should be interpreted as selection. Using data from the UK Biobank, we find that in utero exposure to a higher area-level infant mortality rate is associated with genetic predispositions correlated with better educational attainment and health. These findings point to the direction and magnitude of selection from this exposure. Corrections for this selection in examinations of effects of exposure on later educational attainment suggest underestimates of 26-74%; effects on other life course outcomes also vary across selection correction methods.