Evidence map›Paper›PMID 33782635›Full record

ArticleChild indicators research2021

Making Nature Explicit in Children's Drawings of Wellbeing and Happy Spaces.

Zoe Moula, Nicola Walshe, Elsa Lee

Abstract read
In one paragraph

Article in Child indicators research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. [Nature experience and mental health in children-theoretical approaches and selected empirical findings].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023
    Review
  4. 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

3 authors.

Zoe MoulaFaculty of Health, Education, Medicine & Social Care, Anglia Ruskin University, Cambridge, UK.ORCID 0000-0002-2554-0316
Nicola WalsheFaculty of Health, Education, Medicine & Social Care, Anglia Ruskin University, Cambridge, UK.
Elsa LeeFaculty of Health, Education, Medicine & Social Care, Anglia Ruskin University, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research on children's wellbeing indicators has focused extensively on adults', rather than children's perspectives, despite there being a broad consensus that children's conceptualisations differ significantly from adults'. In response, this study aimed to explore what constitutes children's wellbeing through their drawings and discussions. Ninety-one seven and eight-year old children from two primary schools in areas of relatively high deprivation in eastern England participated in this study. We identified indicators of wellbeing that were made explicit in children's drawings, such as the need for safety, happiness and positive relationships, but also indicators that remained rather implicit, such as the environment and nature. The drawings in particular illustrated that children's perceptions of wellbeing were subject to the affordances of their favourite spaces for emotional, mental physical and material wellbeing. Access to nature and outdoor spaces was interconnected with all these affordances. We analysed these findings through the theoretical lenses of positive psychology, self-actualisation, social mentality and the human-nature relationship. We argue that making nature explicit, and restoring the interconnectedness between the arts

Indexed as

Art-based researchChild voiceChild wellbeing indicatorsEnvironmental sustainability educationNature connectedness

Identifiers

PMID33782635
PMCPMC7990495

What OpenQuestion holds

Textmetadata
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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.