Income disparity in school readiness and the mediating role of perinatal maternal mental health: a longitudinal birth cohort study

Costs and benefits of scaling psychosocial interventions during the perinatal period in England: A simulation modelling study

BACKGROUND

Globally, guidance recommends the integration of mental health into maternal and child healthcare to address common maternal mental health problems during the perinatal period. However, implementing this in the real-world requires substantial resource allocations.

OBJECTIVE

The aim of this study was to estimate the likely costs and consequences linked to scaling the delivery of treatment (in the form of psychosocial interventions) during the perinatal period.

DESIGN

Simulation modelling.

SETTING(S)

England.

METHODS

Costs and consequences were modelled for three scenarios of assumed provision of services, whereby one referred to the projected provision under current government plans, with no additional scaling up of treatment. The other two scenarios referred to additional scaling of treatment: in one scenario, this referred to the provision of treatment by midwives and health visitors trained in the routine enquiry about mental health and delivery of psychosocial interventions; in the other scenario this referred to an expanded provision by primary mental health services. For each scenario and in yearly intervals (covering a ten-year period, 2015 to 2024), unit cots and outcomes were assigned to the activities women were assumed to receive (routine enquiry, assessment, treatment, care coordination). All costs were in 2020 pounds sterling. Data sources for the modelling included: published findings from randomised controlled trials; national unit cost source; national statistics; and expert consultation.

RESULTS

If the projected treatment gap was to be addressed, an estimated additional 111,154 (50,031) women would be accessing treatment in 2015 (2024). Estimated total costs (including cost offsets) in the scenario of projected provision under current government plans would be £73.5 million in 2015 and £95.2 million in 2024, whilst quality-adjusted life years gained would be 901 and 928 respectively. Addressing the treatment gap through provision by trained midwives and health visitors could mean additional costs of £7.3 million in 2015 but lower costs of £18.4 million in 2024. The additional quality-adjusted life years gained are estimated at 2096 in 2015 and 1418 in 2024. A scenario in which the treatment gap would be met by primary mental health services was likely to be more costly and delivered less health gains.

CONCLUSIONS

Findings from this modelling study suggest that scaling the integration of mental health care into routinely delivered care for women during the perinatal period might be economically viable.

REGISTRATION

N/A.

TWEETABLE ABSTRACT

Integrating mental health into maternal and child healthcare might generate economic benefits new study by @a_annettemaria and @knappem @CPEC_LSE finds #increasing access to treatment for women with perinatal mental health problems.

Health and health system effects on poverty: A narrative review of global evidence

Ill-health causes poverty. The effect runs through multiple mechanisms that span lifetimes and cross generations. Health systems can reduce poverty by improving health and weakening links from ill-health to poverty. This paper maps routes through which ill-health can cause poverty and identifies those that are potentially amenable to health policy. The review confirms that ill-health is an important contributor to poverty and it finds that the effect through health-related loss of earnings is often larger than that through medical expenses. Both effects are smaller in countries that are closer to universal health coverage and have higher social safety nets. The paper also reviews evidence from low- and middle-income countries (LMICs) and the United States (US) on the poverty-reduction effectiveness of public health insurance (PubHI) for low-income households. This reveals that PubHI does not always deliver financial protection to its targeted population in LMICs. Countries that have succeeded in achieving this goal often combine extension of coverage with supply-side interventions to build capacity and avoid perverse provider incentives in response to insurance. In the US, PubHI is effective in reducing poverty by shielding low-income households with children from healthcare costs and, consequently, generating long-run improvements in health that increase lifetime earnings. Poverty reduction is a potentially important co-benefit of health systems.

Parenting by lying and children's lying to parents: The moderating role of children's beliefs

How are children socialized about lying? One way is parental modeling of lying given that parents tell various lies to their children for parenting purposes, which is a practice known as parenting by lying. Importantly, how children perceive and interpret the lying behavior around them may be crucial to how they then learn to lie. Yet, we do not know how children's perceptions of different types of parental lies drive this socialization. In a comprehensive birth cohort of parent-child dyads (N = 564; children aged 11 and 12 years) in Singapore, we collected multi-informant reports of instrumental lies (parental lies told for child compliance) and white lies (parental lies told to instill positive emotions), children's belief in parental lies, and children's lying to parents. We found greater consistency in parent and child reports of instrumental lies than of white lies and that children reported greater belief in instrumental lies than in white lies. Children's reported exposure to instrumental lies was associated with greater lying to parents. However, for white lies this relationship was evident only when children had moderate to low beliefs in parental lies. Examining the interplay between parental lies and children's beliefs in those lies, the current study illuminates the potential pathways to children's lying behaviors.

Consensus statement on Singapore Perinatal Mental Health Guidelines on Depression and Anxiety

Introduction

Perinatal depression and anxiety are public health concerns affecting approximately 1 in 10 women in Singapore, with clear evidence of association with various adverse outcomes in mother and child, including low birthweight, preterm birth and negative impact on infant neurodevelopment, temperament and behaviour. A workgroup was formed to develop recommendations to address the perinatal mental health needs of women with depression and anxiety. The approach was broad-based and aimed to incorporate holistic methods that would be readily applicable to the network of care providers supporting childbearing women.

Method

The Grading and Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision framework was employed to draw these guidelines. Workgroup members-comprising experts in the field of perinatal mental health and obstetric medicine-deliberated on the public health needs of the target population, and reviewed literature published from 2001 to 2022 that were relevant to improve the well-being of women with depression and anxiety during the preconception and perinatal periods.

Results

A consensus meeting was held involving a wider professional network, including family physicians, paediatricians, psychiatrists, social services and the Health Promotion Board in Singapore.

Conclusion

Ten consensus statements were developed, focusing on the overall aim of achieving optimal perinatal mental health for women with depression and anxiety. They relate to awareness and advice on preconception mental health, screening and assessment, optimising care and treatment. Special considerations were recommended for women who suffered severe maternal events, tailoring care for adolescents and women with special needs, and addressing infant mental health needs.

Associations between sleep trajectories up to 54 months and cognitive school readiness in 4 year old preschool children

Purpose

This study explores the association between the duration and variation of infant sleep trajectories and subsequent cognitive school readiness at 48–50 months.

Methods

Participants were 288 multi-ethnic children, within the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort. Caregiver-reported total, night and day sleep durations were obtained at 3, 6, 9, 12, 18, 24 using the Brief Infant Sleep Questionnaire and 54 months using the Child Sleep Habits Questionnaire. Total, night and day sleep trajectories with varying durations (short, moderate, or long) and variability (consistent or variable; defined by standard errors) were identified. The cognitive school readiness test battery was administered when the children were between 48 and 50 months old. Both unadjusted adjusted analysis of variance models and adjusted analysis of covariance models (for confounders) were performed to assess associations between sleep trajectories and individual school readiness tests in the domains of language, numeracy, general cognition and memory.

Results

In the unadjusted models, children with short variable total sleep trajectories had poorer performance on language tests compared to those with longer and more consistent trajectories. In both unadjusted and adjusted models, children with short variable night sleep trajectories had poorer numeracy knowledge compared to their counterparts with long consistent night sleep trajectories. There were no equivalent associations between sleep trajectories and school readiness performance for tests in the general cognition or memory domains. There were no significant findings for day sleep trajectories.

Conclusion

Findings suggest that individual differences in longitudinal sleep duration patterns from as early as 3 months of age may be associated with language and numeracy aspects of school readiness at 48–50 months of age. This is important, as early school readiness, particularly the domains of language and mathematics, is a key predictor of subsequent academic achievement.

Associations Between Infant Screen Use, Electroencephalography Markers, and Cognitive Outcomes

Importance

Research evidence is mounting for the association between infant screen use and negative cognitive outcomes related to attention and executive functions. The nature, timing, and persistence of screen time exposure on neural functions are currently unknown. Electroencephalography (EEG) permits elucidation of the neural correlates associated with cognitive impairments.

Objective

To examine the associations between infant screen time, EEG markers, and school-age cognitive outcomes using mediation analysis with structural equation modeling.

Design, Setting, and Participants

This prospective maternal-child dyad cohort study included participants from the population-based study Growing Up in Singapore Toward Healthy Outcomes (GUSTO). Pregnant mothers were enrolled in their first trimester from June 2009 through December 2010. A subset of children who completed neurodevelopmental visits at ages 12 months and 9 years had EEG performed at age 18 months. Data were reported from 3 time points at ages 12 months, 18 months, and 9 years. Mediation analyses were used to investigate how neural correlates were involved in the paths from infant screen time to the latent construct of attention and executive functioning. Data for this study were collected from November 2010 to March 2020 and were analyzed between October 2021 and May 2022.

Exposures

Parent-reported screen time at age 12 months.

Main Outcomes and Measures

Power spectral density from EEG was collected at age 18 months. Child attention and executive functions were measured with teacher-reported questionnaires and objective laboratory-based tasks at age 9 years.

Results

In this sample of 437 children, the mean (SD) age at follow-up was 8.84 (0.07) years, and 227 children (51.9%) were male. The mean (SD) amount of daily screen time at age 12 months was 2.01 (1.86) hours. Screen time at age 12 months contributed to multiple 9-year attention and executive functioning measures (η2, 0.03-0.16; Cohen d, 0.35-0.87). A subset of 157 children had EEG performed at age 18 months; EEG relative theta power and theta/beta ratio at the frontocentral and parietal regions showed a graded correlation with 12-month screen use (r = 0.35-0.37). In the structural equation model accounting for household income, frontocentral and parietal theta/beta ratios partially mediated the association between infant screen time and executive functioning at school age (exposure-mediator β, 0.41; 95% CI, 0.22 to 0.59; mediator-outcome β, -0.38; 95% CI, -0.64 to -0.11), forming an indirect path that accounted for 39.4% of the association.

Conclusions and Relevance

In this study, infant screen use was associated with altered cortical EEG activity before age 2 years; the identified EEG markers mediated the association between infant screen time and executive functions. Further efforts are urgently needed to distinguish the direct association of infant screen use compared with family factors that predispose early screen use on executive function impairments.

The future of evolutionary medicine: sparking innovation in biomedicine and public health

Evolutionary medicine - i.e. the application of insights from evolution and ecology to biomedicine - has tremendous untapped potential to spark transformational innovation in biomedical research, clinical care and public health. Fundamentally, a systematic mapping across the full diversity of life is required to identify animal model systems for disease vulnerability, resistance, and counter-resistance that could lead to novel clinical treatments. Evolutionary dynamics should guide novel therapeutic approaches that target the development of treatment resistance in cancers (e.g., via adaptive or extinction therapy) and antimicrobial resistance (e.g., via innovations in chemistry, antimicrobial usage, and phage therapy). With respect to public health, the insight that many modern human pathologies (e.g., obesity) result from mismatches between the ecologies in which we evolved and our modern environments has important implications for disease prevention. Life-history evolution can also shed important light on patterns of disease burden, for example in reproductive health. Experience during the COVID-19 (SARS-CoV-2) pandemic has underlined the critical role of evolutionary dynamics (e.g., with respect to virulence and transmissibility) in predicting and managing this and future pandemics, and in using evolutionary principles to understand and address aspects of human behavior that impede biomedical innovation and public health (e.g., unhealthy behaviors and vaccine hesitancy). In conclusion, greater interdisciplinary collaboration is vital to systematically leverage the insight-generating power of evolutionary medicine to better understand, prevent, and treat existing and emerging threats to human, animal, and planetary health.

Effects of an integrated mobile health lifestyle intervention among overweight and obese women planning for pregnancy in Singapore: protocol for the single-arm healthy early life moments in Singapore (HELMS) study

INTRODUCTION

Changes in social and lifestyle factors have led to increasing rates of metabolic and mental health problems. We hypothesise that a transformation of the current maternal and child health system is required to deliver interventions that effectively promote a good start to life in populations at risk of metabolic and mental health problems. We describe a single-arm implementation study 'Healthy Early Life Moments in Singapore', which aims to examine whether an integrated lifestyle intervention initiated at preconception and continuing throughout pregnancy and postpartum periods can improve the metabolic and mental health of overweight and obese women, and improve early child growth.

METHODS AND ANALYSIS

This single-centre implementation trial is conducted at KK Women's and Children's Hospital, Singapore. The trial aims to recruit 500 women, aged 21-40 years with a body mass index of 25-40 kg/m² who plan to get pregnant, with interventions delivered before conception, until 18 months postdelivery. Primary outcomes comprise pregnancy rate, maternal metabolic and mental health status. Secondary outcomes include maternal reproductive health, pregnancy outcomes and offspring growth. The intervention will be delivered using a mobile health application, to provide anticipatory guidance, raise awareness and guide goal-setting on lifestyle behaviours that include diet, physical activity, mental wellness and sleep hygiene from preconception to postpartum. Women who conceive within 1 year of recruitment will be followed through pregnancy and studied with their infants at six-time points during the first 18 months of life. Questionnaires, anthropometric measurements and multiple biosamples will be collected at each visit.

ETHICS AND DISSEMINATION

The study has been approved by the Centralised Institutional Review Board of SingHealth (2021/2247). Written informed consent will be obtained from all participants. The findings will be published in peer-reviewed journals and disseminated to national and international policy makers.

TRIAL REGISTRATION NUMBER

NCT05207059.

A Golden Thread approach to transforming Maternal and Child Health in Singapore

Maternal and child health (MCH) in Singapore is entering a new phase, with challenges different to those faced 50 years ago. The advancement of medical technologies and access to MCH resources have led to a dramatic fall in maternal and infant mortality rates. However, there has been a steep rise in the rates of obesity and related metabolic diseases. Alongside this is an emerging mental wellness challenge, with one in ten women experience depression across pre-, during and post-pregnancy. Maternal obesity and mental disorders before and during pregnancy not only increase a woman's risk of pregnancy complications, but also result in increased risks in the offspring of childhood obesity, behavioral disorders and later life metabolic disease, catalyzing vicious cycles of disease. Thus, there is a pressing need to transform the current MCH system to address a burgeoning metabolic and mental health challenge for Singapore. Initiating interventions during preconception and continuing into the postpartum has the potential to confer long-term maternal-child benefits, promoting virtuous cycles of health. However, the current MCH system emphasizes antenatal care and lacks focus on the equally, if not more important, preconception, postpartum and inter-pregnancy stages. We describe a new model-of-care framework that integrates a life-course approach to health across preconception, pregnancy and postpartum phases, with the social-ecological model comprising individual, interpersonal, institutional, community and policy as the major targets for health promotion interventions. This "golden thread" approach is being established at the Singapore KK Women's and Children's Hospital (KKH), to address both metabolic and mental health challenges to achieve the goal of a thriving, healthy nation. This new model-of-care is set up in KKH as a pilot program known as Healthy Early Life Moments in Singapore (HELMS). HELMS will reach out to women planning to conceive through coordinated interventions across preconception, pregnancy and postpartum periods. A mobile health platform is being developed to facilitate interventions and engage participants in the program through a digital, personalized and interactive approach. This new model-of-care is designed to secure a population with healthy life cycles, by influencing each life-course, early-in-life, to provide the best start for generations to come.

Maternal depression and economic well-being: A quasi-experimental approach

Maternal depression is associated with adverse impacts on the health of women and their children. However, further evidence is needed on the extent to which maternal depression influences women's economic well-being and how unmeasured confounders affect estimates of this relationship. In this study, we aimed to measure the association between maternal depression and economic outcomes (income, employment, and material hardship) over a 15-year time horizon. We conducted longitudinal analyses using the Fragile Families and Child Wellbeing Study, an urban birth cohort study in the United States. We assessed the potential contribution of time-invariant unmeasured confounders using a quasi-experimental approach and also investigated the role of persistent versus transient depressive symptoms on economic outcomes up to 15 years after childbirth. In models that adjusted for time-invariant unmeasured confounders, maternal depression was associated with not being employed (an adjusted risk difference of 3 percentage points (95% CI 0.01 to 0.05)) and experiencing any material hardship (an adjusted risk difference of 14 percentage points (95% CI 0.12 to 0.16)), as well as with reductions in the ratio of household income to poverty by 0.10 units (95% CI -0.16 to -0.04) and annual household income by $2114 (95% CI -$3379 to -$850). Impacts at year 15 were strongest for those who experienced persistent depression. Results of our study strengthen the case for viewing mental health support services as interventions that may also foster economic well-being, and highlight the importance of including economic impacts in assessments of the cost-effectiveness of mental health interventions.

Transdisciplinary research and clinical priorities for better health

Modern medicine makes it possible for many people to live with multiple chronic diseases for decades, but this has enormous social, financial, and environmental consequences. Preclinical, epidemiological, and clinical trial data have shown that many of the most common chronic diseases are largely preventable with nutritional and lifestyle interventions that are targeting well-characterized signaling pathways and the symbiotic relationship with our microbiome. Most of the research priorities and spending for health are focused on finding new molecular targets for the development of biotech and pharmaceutical products. Very little is invested in mechanism-based preventive science, medicine, and education. We believe that overly enthusiastic expectations regarding the benefits of pharmacological research for disease treatment have the potential to impact and distort not only medical research and practice but also environmental health and sustainable economic growth. Transitioning from a primarily disease-centered medical system to a balanced preventive and personalized treatment healthcare system is key to reduce social disparities in health and achieve financially sustainable, universal health coverage for all. In this Perspective article, we discuss a range of science-based strategies, policies, and structural reforms to design an entire new disease prevention-centered science, educational, and healthcare system that maximizes both human and environmental health.