| Literature DB >> 31350208 |
Lucy Anne Livingston1, Punit Shah2, Francesca Happé3.
Abstract
BACKGROUND: Little is known about the compensatory profile in autism; that is, people with autism spectrum disorder who show few symptoms in their behavioural presentation, despite continuing to report autism-related cognitive difficulties or differences. Even less is known about the specific compensatory strategies that these individuals use to disguise autism at the behavioural surface, both in the clinic and everyday life. It is also currently unclear whether individuals without a formal autism diagnosis, but experiencing autistic-like difficulties, use similar compensatory strategies, potentially enabling them to sit below the diagnostic threshold. This study aimed to investigate social compensatory strategies, and their effect on diagnosis and clinical outcome, in adults with and without autism.Entities:
Mesh:
Year: 2019 PMID: 31350208 PMCID: PMC6706698 DOI: 10.1016/S2215-0366(19)30224-X
Source DB: PubMed Journal: Lancet Psychiatry ISSN: 2215-0366 Impact factor: 27.083
Participant characteristics
| p value | Effect size | Direction of effect | |||||
|---|---|---|---|---|---|---|---|
| Age, years | 35·8 (11·5; 18–70) | 40·2 (11·1; 25–64) | 33·9 (14·8; 18–77) | 0·11 | η2=0·03 | .. | |
| Age at diagnosis, years | 30·1 (13·8; 3–70) | .. | .. | .. | .. | .. | |
| Autism-spectrum quotient score | 8·0 (1·9; 1–10) | 7·7 (1·9; 3–10) | 4·9 (2·3; 1–10) | <0·001 | η2=0·32 | Diagnosed and self-identified > non-diagnosed | |
| Number of words used in responses to open-ended questions | 1362·2 (895·2; 174–4226) | 1950·7 (1720·5; 221–6403) | 1221·5 (743·8; 205–4191) | 0·092 | η2=0·04 | .. | |
| Intelligence quotient | 4·7 (2·1; 0–7) | 4·8 (1·9; 0–7) | 4·7 (1·8; 1–7) | 0·83 | η2=<0·01 | .. | |
| Gender | .. | .. | .. | .. | .. | ||
| Female | 37 (64%) | 9 (47%) | 51 (86%) | 0·002 | ϕ=0·36 | Non-diagnosed > diagnosed and self-identified | |
| Male | 13 (22%) | 8 (42%) | 8 (14%) | .. | .. | .. | |
| Other | 8 (14%) | 2 (11%) | 0 | .. | .. | .. | |
| Comorbid diagnoses | |||||||
| Developmental disorders | 9 (16%) | 1 (5%) | 2 (3%) | 0·066 | ϕ=0·21 | .. | |
| Anxiety disorders | 21 (36%) | 9 (47%) | 18 (31%) | 0·42 | ϕ=0·12 | .. | |
| Obsessive-compulsive | 4 (7%) | 1 (5%) | 2 (3%) | 0·77 | ϕ=0·07 | .. | |
| Depressive disorders | 13 (22%) | 5 (26%) | 12 (20%) | 0·85 | ϕ=0·05 | .. | |
| Bipolar disorder | 1 (2%) | 0 | 1 (2%) | ϕ=0·05 | .. | ||
| Eating disorders | 1 (2%) | 0 | 0 | 0·57 | ϕ=0·10 | .. | |
| Personality disorders | 1 (2%) | 0 | 2 (3%) | ϕ=0·08 | .. | ||
| Trauma or stress disorders | 2 (3%) | 1 (5%) | 1 (2%) | 0·65 | ϕ=0·07 | .. | |
| Schizophrenic disorders | 0 | 0 | 0 | .. | .. | .. | |
| Other | 3 (5%) | 1 (5%) | 0 | 0·20 | ϕ=0·15 | .. | |
| Misdiagnoses | .. | ||||||
| Developmental disorders | 6 (10%) | 0 | 1 (2%) | 0·075 | ϕ=0·20 | .. | |
| Anxiety disorders | 10 (17%) | 3 (16%) | 3 (5%) | 0·12 | ϕ=0·18 | .. | |
| Obsessive-compulsive | 2 (3%) | 0 | 0 | 0·44 | ϕ=0·14 | .. | |
| Depressive disorders | 7 (12%) | 3 (16%) | 4 (7%) | 0·39 | ϕ=0·11 | .. | |
| Bipolar disorder | 2 (3%) | 0 | 1 (2%) | 0·76 | ϕ=0·08 | .. | |
| Eating disorders | 1 (2%) | 2 (11%) | 0 | 0·027 | ϕ=0·24 | Self-identified > non-diagnosed | |
| Personality disorders | 3 (5%) | 0 | 0 | 0·13 | ϕ=0·17 | .. | |
| Trauma or stress disorders | 1 (2%) | 0 | 0 | 0·57 | ϕ=0·10 | .. | |
| Schizophrenic disorders | 3 (5%) | 0 | 0 | 0·13 | ϕ=0·17 | .. | |
| Other | 2 (3%) | 3 (16%) | 0 | 0·006 | ϕ=0·27 | Self-identified > non-diagnosed | |
| Residence | |||||||
| UK | 39 (67%) | 14 (74%) | 50 (85%) | 0·083 | ϕ=0·19 | .. | |
| USA or Canada | 8 (14%) | 3 (16%) | 5 (8%) | 0·58 | ϕ=0·09 | .. | |
| Europe | 5 (9%) | 1 (5%) | 1 (2%) | 0·18 | ϕ=0·15 | .. | |
| Australasia | 5 (9%) | 1 (5%) | 1 (2%) | 0·18 | ϕ=0·15 | .. | |
| Africa | 1 (2%) | 0 | 0 | 0·57 | ϕ=0·10 | .. | |
| Asia | 0 | 0 | 2 (3%) | 0·63 | ϕ=0·14 | .. | |
| Employment status | |||||||
| Full time | 23 (40%) | 7 (37%) | 12 (20%) | 0·061 | ϕ=0·20 | .. | |
| Part time | 10 (17%) | 2 (11%) | 11 (19%) | 0·78 | ϕ=0·07 | .. | |
| Voluntary | 1 (2%) | 3 (16%) | 3 (5%) | 0·053 | ϕ=0·21 | .. | |
| Student | 13 (22%) | 3 (16%) | 28 (47%) | 0·003 | ϕ=0·29 | Non-diagnosed > diagnosed and self-identified | |
| Unemployed | 11 (19%) | 4 (21%) | 5 (8%) | 0·19 | ϕ=0·16 | .. | |
| Live independently | |||||||
| Yes | 41 (71%) | 13 (68%) | 43 (73%) | 0·93 | ϕ=0·03 | .. | |
| No | 17 (29%) | 6 (32%) | 16 (27%) | .. | .. | .. | |
Data are mean (SD; range) or n (%). Percentages might not sum to 100% because of rounding. One-way ANOVAs compared the groups on age, autism-spectrum quotient score, number of words, and intelligence quotient. Fisher's exact tests compared the groups on the categorical variables. η2=0·01 indicates a small effect size, η2=0·06 indicates a medium effect size, and η2=0·14 indicates a large effect size. ϕ=0·1 indicates a small effect size, ϕ=0·3 indicates a medium effect size, and ϕ=0·5 indicates a large effect size.
Autism-spectrum quotient score (self-reported autistic behaviours), with a maximum score of 10.
Intelligence quotient estimated using the 8-point scale of International Standard Classification of Education, with a maximum score of 7; higher scores reflect higher educational attainment.
Included transgender males, transgender females, and non-binary individuals.
FigureThematic map of the eight themes (rectangular) and 18 subthemes (oval) in social compensation in autism
Each subtheme is accompanied by an example quotation from the dataset. A list of quotations and compensatory strategies are provided in the appendix (pp 6–11).
Number of participants endorsing each theme or subtheme, by gender, group, and autistic behaviours
| Male (n=29) | Female (n=97) | Diagnosed (n=58) | Self-identified (n=19) | Non-diagnosed (n=59) | High (n=89) | Low (n=47) | ||
|---|---|---|---|---|---|---|---|---|
| A secondary route | ||||||||
| Cognitively taxing | 26 (90%) | 92 (95%) | 55 (95%) | 18 (95%) | 55 (93%) | 83 (93%) | 45 (96%) | |
| An upper limit | 22 (76%) | 59 (61%) | 40 (69%) | 13 (68%) | 35 (59%) | 61 (69%) | 27 (57%) | |
| Gap between appearance and internal reality | ||||||||
| Shallow compensation | 26 (90%) | 93 (96%) | 55 (95%) | 17 (89%) | 57 (97%) | 88 (99%) | 41 (87%) | |
| Deep compensation | 27 (93%) | 96 (99%) | 57 (98%) | 19 (100%) | 57 (97%) | 88 (99%) | 45 (96%) | |
| Behavioural masking | 29 (100%) | 96 (99%) | 57 (98%) | 19 (100%) | 59 (100%) | 88 (99%) | 47 (100%) | |
| Internal factors | ||||||||
| Individual differences | 29 (100%) | 96 (99%) | 57 (98%) | 19 (100%) | 59 (100%) | 88 (99%) | 47 (100%) | |
| Social motivation | 24 (83%) | 91 (94%) | 50 (86%) | 19 (100%) | 56 (95%) | 81 (91%) | 44 (94%) | |
| Costs versus benefits | 20 (69%) | 75 (77%) | 38 (66%) | 16 (84%) | 46 (78%) | 64 (72%) | 36 (77%) | |
| External factors | ||||||||
| For others | 26 (90%) | 95 (98%) | 56 (97%) | 17 (89%) | 58 (98%) | 88 (99%) | 43 (91%) | |
| Environmental demands | 28 (97%) | 90 (93%) | 55 (95%) | 18 (95%) | 55 (93%) | 85 (96%) | 43 (91%) | |
| Interaction is two-way | 27 (93%) | 96 (99%) | 56 (97%) | 18 (95%) | 59 (100%) | 88 (99%) | 45 (96%) | |
| Diagnosis and support | ||||||||
| Late diagnosis | 24 (83%) | 87 (90%) | 52 (90%) | 18 (95%) | 50 (85%) | 83 (93%) | 37 (79%) | |
| Looked too normal | 21 (72%) | 77 (79%) | 47 (81%) | 15 (79%) | 43 (73%) | 70 (79%) | 35 (74%) | |
| Quality of life | ||||||||
| Health and wellbeing | 27 (93%) | 96 (99%) | 55 (95%) | 18 (95%) | 59 (100%) | 86 (97%) | 46 (98%) | |
| A role in society | 17 (59%) | 62 (64%) | 40 (69%) | 11 (58%) | 37 (63%) | 56 (63%) | 32 (68%) | |
| Self and social relationships | 25 (86%) | 83 (86%) | 48 (83%) | 16 (84%) | 53 (90%) | 78 (88%) | 39 (83%) | |
| Trajectories and attitudes | ||||||||
| Things are better now | 19 (66%) | 67 (69%) | 34 (59%) | 13 (68%) | 47 (80%) | 57 (64%) | 37 (79%) | |
| Balance is key | 24 (83%) | 86 (89%) | 50 (86%) | 18 (95%) | 50 (85%) | 79 (89%) | 39 (83%) | |
| An ongoing challenge | 16 (55%) | 39 (40%) | 23 (40%) | 9 (47%) | 27 (46%) | 42 (47%) | 17 (36%) | |
Data are number (%) of participants giving at least one example fitting each theme or subtheme. Each participant received a maximum of one count per theme or subtheme. Fisher's exact tests compared frequencies across group, gender, and autistic behaviours. Full p values and effect sizes are in the appendix (pp 12–13).
Participants reporting other gender were not included in these analyses.
Collapsing across diagnostic groups, participants were split into high and low autism-spectrum quotient score groups: the high group had a score of 6 or more, in line with the clinically significant cutoff, and the low group had a score of less than 6.
p<0·01.
p<0·05.
Participant's attitudes towards social compensation
| Extremely successful | 52 (38%) | 18 (31%) | 6 (32%) | 28 (47%) |
| Somewhat successful | 76 (56%) | 34 (59%) | 12 (63%) | 30 (51%) |
| Neither | 5 (4%) | 3 (5%) | 1 (5%) | 1 (2%) |
| Somewhat unsuccessful | 2 (1%) | 2 (3%) | 0 | 0 |
| Extremely unsuccessful | 1 (1%) | 1 (2%) | 0 | 0 |
| Extremely tiring | 16 (12%) | 9 (16%) | 4 (21%) | 3 (5%) |
| Somewhat tiring | 48 (36%) | 23 (40%) | 11 (58%) | 14 (24%) |
| Neither | 30 (22%) | 10 (17%) | 4 (21%) | 16 (27%) |
| Somewhat energising | 27 (20%) | 13 (23%) | 0 | 14 (24%) |
| Extremely energising | 14 (10%) | 2 (3%) | 0 | 12 (20%) |
| Definitely recommend | 27 (20%) | 12 (21%) | 3 (16%) | 12 (20%) |
| Likely to recommend | 49 (36%) | 17 (29%) | 6 (32%) | 26 (44%) |
| Neither | 37 (27%) | 14 (24%) | 6 (32%) | 17 (29%) |
| Unlikely to recommend | 19 (14%) | 11 (19%) | 4 (21%) | 4 (7%) |
| Definitely not recommend | 3 (2%) | 3 (5%) | 0 | 0 |
Data are n (%). Participants rated how successful and tiring their strategies were, and the likelihood of recommending them to others with social difficulties. Kruskal-Wallis tests compared the three groups on successful, tiring, and recommendation ratings. No significant differences were found for successful (p=0·073) or recommendation (p=0·20) ratings. Significant differences were found for tiring ratings, χ2 (2)=20·85, p<0·001. Follow-up Mann-Whitney U tests found that the diagnosed and self-identified groups did not significantly differ (U=391·50, p=0·057, Bonferroni-corrected p=0·17). However, the self-identified (U=216·00, p<0·001, Bonferroni-corrected p<0·001) and diagnosed (U=1119·50, p=0·001, Bonferroni-corrected p=0·004) groups reported higher tiring ratings than the non-diagnosed group.
One participant from the diagnosed group had missing data for the tiring and recommendation ratings.