The mediational role of perceived control between health status and life satisfaction in an elderly population
Bibliographic record
Abstract
Life satistaction is a very important aspect in later life, and it can greatly influence an individual's overall quality of life, including both psychological and physical wdl-being.Numerous studies have eomined the factors that can determine an individualS level of life satisfaction, including for example, social integration, leisure activity, and locus of control.In many studiae, health is found to predict life satisfaction, although there are many paradoxical examples of seniors who have poor phpical health stahs, and yet, still report a high level of life satisfaction.This suggests that other factors are also important in determining life satisfaction.The praeent study focused upon one particular factor, perceived control (PC), that may be important in understanding the relationship between health and life satisfaction.In particular, thls study o<amined the mediational role of perceived contol in the healthlife satisfaction relationship using data from the Aging in Manitoba Study 1996 (n = 1868).As was hypothesized, perceived control did act.as a mediator between health status and level of life satisfaction.Twostep regression analyses indicated that this mediational relationship varied depending upon the nature of the PC measure, age of aerticipants, and level of leisure activity reported.Findings regarding health-life satisction paradox groups (healthy and unsatisfied, unhealthy and satisfied) were also o<amined through the use of ANOVA's, which uncovered differences based upon years of formal education. ABSTRACTMediational role of perceived control 1 Life satisfaction is very important in later life, and it can greatly influence an individual's overall quality of life, including both psychological and physical well-being.Numerous studies have examined what factors influence an individual's level of life satisfaction, including social integration and leisure activity (Ragheb & Griffith, 1982;
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".