Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
psyarxiv; 2022.
Preprint in English | PREPRINT-PSYARXIV | ID: ppzbmed-10.31234.osf.io.x9jzh

ABSTRACT

Immune activation during pregnancy is linked with neurodevelopmental disorders in offspring. Psychosocial stress and inflammation are also highly correlated, but whether stress exacerbates risks of gestational infection on infant development is largely known. The current study examines this question in infants exposed to SARS-CoV-2 in utero. One-hundred and forty-one pregnant mothers and infants (46% non-White; n = 61 females) were recruited in New York City, and were oversampled for prenatal SARS-CoV-2 exposure (n = 44 COVID+, n = 97 COVID-). Infant cognitive development was assessed at 6 months using a remote visual attention task and measures of infant regulatory function. Socioemotional outcomes and neurodevelopmental ¬risk were evaluated at 12 months using the BITSEA questionnaire. Results indicated that maternal psychosocial stress moderated effects of in utero SARS-CoV-2 exposure on infant development. In mothers reporting positive COVID-19 infection, higher prenatal stress was associated with lower infant attention at 6 months. Exploratory analyses indicated that infant attention predicted socioemotional outcomes and neurodevelopmental risk at 12 months, regardless of prenatal exposures or relevant sociodemographic factors. These findings provide evidence of phenotypic adaptations in early cognitive and socioemotional development in infants of mothers affected by the COVID-19 pandemic. Importantly, this work highlights maternal psychosocial stress and infant attention as relevant targets for translational work to reduce risk of negative long-term outcomes.


Subject(s)
COVID-19 , Nervous System Diseases , Inflammation
2.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.07.16.21260638

ABSTRACT

BACKGROUND: Increasing reports of long-term symptoms following COVID-19 infection, even among mild cases, necessitates systematic investigation into the prevalence and type of lasting illness. Notably, there is limited data regarding the influence of social determinants of health, like perceived discrimination and economic stress, which may exacerbate COVID-19 health risks. The primary goals of this study are to test the bearing of subjective experiences of discrimination, financial security, and quality of care on illness severity and lasting symptom complaints. METHODS: 1,584 recovered COVID-19 patients that experienced mild to severe forms of the disease provided information about their illness, medical history, lasting symptoms, and psychosocial information. Prevalence data isolated differences in patients infected early versus late in the pandemic. Path analyses examined hypothesized associations between discrimination, illness severity, and lasting symptoms. Post hoc logistic regressions tested social determinants hypothesized to predict neurological, cognitive, or mood symptoms. RESULTS: 70.6% of patients reported presence of one or more lasting symptoms after recovery. Neural systems were especially impacted, and 19.4% and 25.1% of patients reported mood or cognitive/memory complaints, respectively. Path models demonstrated that frequency and stress about experiences of discrimination predicted increased illness severity and increased lasting symptom count, even when adjusting for sociodemographic factors and mental/physical health comorbidities. Notably, this effect was specific to stress related to discrimination, and did not extend to general stress levels. Further, perceived but not objective socioeconomic status (SES) was associated with increased lasting symptom complaints after recovery. Finally, associations between discrimination and illness differed with individual perceptions about quality of medical care. CONCLUSIONS: Lasting symptoms after recovery from COVID-19 are highly prevalent and neural systems are significantly impacted. Importantly, psychosocial factors (perceived discrimination and perceived SES) can exacerbate individual health risk. This study provides actionable directions for improved health outcomes by establishing that sociodemographic risk and medical care influence near and long-ranging health outcomes.


Subject(s)
COVID-19 , Mood Disorders
3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.05.26.21257743

ABSTRACT

First-person accounts of COVID-19 illness and treatment complement and enrich data derived from electronic medical or public health records. With patient-reported data, it is uniquely possible to ascertain in-depth contextual information as well as behavioral and emotional responses to illness. The Novel Coronavirus Illness Patient Report (NCIPR) dataset includes complete survey responses from 1,592 confirmed COVID-19 patients ages 18 to 98. NCIPR survey questions address symptoms, medical complications, home and hospital treatments, lasting effects, anxiety about illness, employment impacts, quarantine behaviors, vaccine-related behaviors and effects, and illness of other family/household members. Additional questions address financial security, perceived discrimination, pandemic impacts (relationship, social, stress, sleep), health history, and coping strategies. Detailed patient reports of illness, environment, and psychosocial impact, proximal to timing of infection and considerate of demographic variation, is meaningful for understanding pandemic-related public health from the perspective of those that contracted the disease.


Subject(s)
COVID-19 , Anxiety Disorders
4.
ssrn; 2021.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3857679

ABSTRACT

Background: Adequate perinatal care is essential for maternal and infant health. The novel coronavirus (COVID-19) pandemic is potentially the largest natural disruption to perinatal care in recent history, but these disruptions have yet to be characterized in a rigorous and systematic manner. Our goal was to document COVID-19 induced disruptions to perinatal care across the United States (US) using analyses sensitive to the temporal and geographical variability of the pandemic, and to examine the impact of these healthcare disruptions on maternal mental health.Methods: We performed an observational cross-sectional study of 1,922 postpartum and 3,868 pregnant individuals during the 2020 COVID-19 pandemic. Perinatal individuals were recruited from 15 academic institutions across the US, resulting in a geographically diverse sample. We conducted (1) descriptive analyses on the prevalence and timing of perinatal care disruptions, (2) group difference analyses to compare perinatal care disruptions depending on when and where individuals gave birth, (3) cross correlations to assess the temporal linkage between perinatal care disruptions and COVID-19 infection rates, and (4) hierarchical linear regressions to evaluate the impact of prenatal care and birth protocol disruptions on maternal psychological health.Findings: The COVID-19 pandemic significantly altered perinatal care across the US, both through restriction of in-person support and by shifting the focus of care. These changes occurred unevenly over time and across geographic locations. Changes in COVID-19 infection rates explained 65 to 78% of the variance in perinatal care disruptions from August 2019 to August 2020. Moreover, disruptions to perinatal care were robustly associated with heightened psychological distress in mothers, even after controlling for mental health history, number of pregnancy complications, and general stress about the COVID-19 pandemic.Interpretation: Our analyses reveal widespread disruptions to perinatal care across the US that fluctuated depending on where and when individuals gave birth, demonstrating reactivity and elasticity of the US healthcare system. In addition to influencing health outcomes, disruptions to perinatal care may also exacerbate mental health concerns during the COVID-19 pandemic.Funding Information: This research was supported by the NYU COVID-19 Research Catalyst rant, R34DA050287-S1, R34DA050287-S2, R34DA050254-01S2, R01MH126468, R01MH125870, the Nathaniel Wharton Fund, the Columbia University Population Research Center, R34DA050255, R34DA050255-01S2, the Fralin Biomedical Research Institute at VTC, the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Numbers UL1TR003015 and KL2TR003016, the University of Utah Center for Clinical and Translational Science COVID-19 Research Award, Virginia Commonwealth University School of Nursing Internal Grants Program, Sarah P. Farrell Legacy Research Endowment-Virginia Commonwealth University, 5R03HD096141-02, R01HD085990, R34DA050283-01S2, the USC Center for the Changing Family, the Stanford Institute for Research in the Social Sciences, R34DA050291, R01MH119070, R01MH117177, R34 DA050272-01S1, R01 MH113883, R01 DA046224, R21 MH111978, and R21 HD090493, R37 MH10149, UH3OD023279, and National Center for Advancing Translational Sciences (NCATS) Grant UL1TR001881Declaration of Interests: The authors report no conflicts of interest.Ethics Approval Statement: This study has received Institutional Review Board approval from theNYU Langone Health IRB as well as the local IRBs at each data collection site. All data was collected in accordance with the Helsinki Declaration.


Subject(s)
COVID-19 , Postpartum Hemorrhage , Intellectual Disability
5.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-185357.v1

ABSTRACT

Maternal stress exposure during the COVID-19 pandemic may have transgenerational effects, adversely affecting both the pregnant woman and her offspring. Therefore, there is an urgent need to characterize the coping styles and psychosocial distress of pregnant and postpartum women during the COVID-19 pandemic to help mitigate lasting sequalae on both mothers and infants. Here we use latent profile analysis to examine patterns of behavioral coping strategies associated with risk and resiliency to adverse mental and physical health outcomes. Leveraging a large U.S. sample of perinatal women (N = 2,876 pregnant women, N = 1,536 postpartum women), we identified four behavioral phenotypes of coping strategies: (1) passive-coping, characterized by primarily engaging in high levels of screen time, social media use, and eating comfort foods; (2) active-coping, characterized by primarily engaging in high levels of self-care, social support, and limiting media exposure; (3) low-coping, characterized by low levels of all coping strategies; (4) high-coping, characterized by high levels of both active and passive coping strategies. Critically, we found that passive-coping phenotypes were associated with higher levels of depression and anxiety and worsening stress and energy levels in both pregnant and postpartum women. Supplementing passive coping strategies with high levels of active coping strategies (the high-coping profile) lessened adverse outcomes in postpartum women. These behavioral coping phenotypes highlight potential risk and protective factors for perinatal women, which is critical in helping to identify and treat perinatal women most at risk for experiencing mood and affective disorders resulting from the COVID-19 pandemic.


Subject(s)
COVID-19 , Anxiety Disorders , Depressive Disorder
SELECTION OF CITATIONS
SEARCH DETAIL