Evidence map›Paper›PMID 37138313›Full record

ArticleBMC psychology2023

How much of my true self can i show? social adaptation in autistic women: a qualitative study.

Mebuki Sunagawa

Abstract read
In one paragraph

Article in BMC psychology, 2023. 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. Article
  4. Differences in the Social Experiences of Autistic and Non-Autistic Adolescents by Gender.Autism research : official journal of the International Society for Autism Research · 2025
    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.

Mebuki SunagawaDepartment of Psychology, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, 112- 8610, Japan. sunagawa.mebuki@ocha.ac.jp.

Funding

Japan Society for the Promotion of Science 19K14441
6 · The paper itself

Abstract

backgroundSocial adaptation is often aimed at supporting autistic people, yet its specific goals may not include their actual perspectives. That is, the state of adaptation is judged based on the standards and values of non-autistic people. This qualitative study focused on autistic women's perceptions of social adaptation and examined their lived experiences in daily life, as adaptive behaviors have often been reported as a "female autism phenotype."

methodsSemi-structured interviews were conducted face-to-face with ten autistic women aged 28-50 years (M = 36.7; standard SD = 7.66). The analysis was conducted based on the grounded theory approach.

resultsTwo core perceptions were identified: maintaining stable relationships and fulfilling social roles based on past experiences of "maladaptation." The participants sought adaptations within a reasonable range and adjusted their balance with society to maintain stability in their daily lives.

conclusionThe findings indicated that autistic women's perceptions of adaptation were based on the accumulation of past negative experiences. Further harmful efforts should be prevented. Support for autistic people to make their own choices in life is also important. Moreover, autistic women need a place where they can be themselves and be accepted as they are. This study showed the importance of changing the environment rather than modifying autistic people to adapt to a society.

Indexed as

Autistic DisorderAdaptation, PsychologicalFemaleHumansQualitative ResearchAdultAutistic womenQualitative studySocial adaptation

Identifiers

PMID37138313
PMCPMC10155366

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.