Evidence map›Paper›PMID 38999909›Full record

ArticleNutrients2024

Parental Neglect and Childhood Obesity Amidst COVID-19: A Developmental Psychopathology Perspective on Health and Developmental Risks.

Silvia Cimino

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Silvia CiminoDepartment of Dynamic, Clinic and Health Psychology, Faculty of Psychology and Medicine, Sapienza University of Rome, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has profoundly impacted the mental health and developmental trajectories of children and adolescents, catalyzing a range of psychological and behavioral issues due to enforced lockdowns and other restrictions. This text explores these impacts through the lens of developmental psychopathology, which integrates clinical psychology and developmental science to examine the emergence and evolution of psychological disorders across a lifespan. This paper highlights how pandemic-related disruptions have exacerbated conditions such as anxiety and depression and, notably, increased childhood obesity due to changes in lifestyle and reductions in physical activity. The analysis includes a discussion of how isolation has not only restricted access to educational and psychological resources but also increased the risk of parental mental illness and related familial stress, thereby intensifying issues of neglect and their consequent impact on child health. By employing a developmental psychopathology framework, this paper argues for the necessity of targeted interventions that address these complex interplays of genetic, environmental, and psychological factors. Such interventions aim to support children through structured educational and health-oriented strategies, ensuring their well-being amidst the ongoing challenges posed by the pandemic. This approach underscores the importance of early, multifaceted strategies involving parents, educators, and healthcare providers to foster healthier developmental outcomes for children facing unprecedented global health crises.

Indexed as

COVID-19Pediatric ObesityAdolescentChildChild AbuseHumansMental HealthPandemicsParentsSARS-CoV-2childhood obesityCOVID-19 pandemicdevelopmental psychopathologymental health interventions

Identifiers

PMID38999909
PMCPMC11243338

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.