Self-Compassion and Happiness: Exploring the Influence of the Subcomponents of Self-Compassion on Happiness and Vice Versa
Bibliographic record
Abstract
Self-compassion is a healthy conceptualization of the self and has been associated with a myriad of health benefits. There is limited research regarding the influence of the subcomponents of self-compassion on happiness and vice versa. This study investigated (1) the influence and relative strength of the relationships of the 6 subcomponents of self-compassion onto happiness, (2) the influence and relative strength of the relationships of happiness onto the 6 subcomponents of self-compassion and (3) the bi-directional relationship between total self-compassion variables and happiness across two timepoints. This study followed a pre-post design whereby 33 university students and employees undergoing a physical activity counselling (PAC) program filled out validated online questionnaires before and immediately after individualized sessions. Results revealed that there was a positive bi-directional relationship between self-compassion and happiness over time, with the stronger influence being from happiness to self-compassion. This is likely because happier individuals are kinder to themselves and strongly connected with others. Moreover, results showed that mindfulness was the strongest subcomponent of self-compassion to positively influence happiness, and happiness was the strongest negative predictor of isolation. This has practical implications in that PAC counsellors and other practitioners should try to emphasize mindfulness in their interventions to maximize feelings of happiness, and try to cultivate happiness to reduce feelings of isolation and increase total self-compassion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 teacher head, 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".