Associations between parental overprotection, maladaptive perfectionism, and chronic and acute stress reactivity
Bibliographic record
Abstract
Long-term stress exposure is associated with a wide range of different negative health consequences. In addition, numerous studies show an influence of maladaptive perfectionism on stress reactivity. A frequently discussed explanation for the development of maladaptive perfectionist attitudes refers to parental influences. In this study, the relationship between parental overprotection, maladaptive perfectionism, and acute and chronic stress reactivity were investigated in a standardized laboratory setting. For this purpose, 67 healthy students (59.7% female, age mean= 21.60; age SD= 3.10) were invited to the laboratory twice to be subjected to an acute stress condition using the Montreal Imaging Stress Task (MIST), or a relaxation condition using relaxation videos. Psychological questionnaires were used to record maladaptive perfectionism, parental criticism, parental overprotection, and vital exhaustion as a measure of chronic stress reactivity. While no significant increase in cortisol was observed in response to the MIST, a significant correlation between maladaptive perfectionism and vital exhaustion was shown with regard to chronic stress. In addition, a mediation effect of parental criticism on the relationship between parental overprotection and maladaptive perfectionism could be demonstrated. These results suggest that parenting styles are associated with the child’s personality characteristics, and chronic stress levels later in life. The results are discussed in the light of strengths and limitations of the study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".