Factors Related to Perceived Life Satisfaction Among the Elderly in South Korea
Bibliographic record
Abstract
OBJECTIVES: This study attempted to explore the aging phenomena that now characterize much of Korean society, and assessed issues associated with the life satisfaction experienced during the process of aging. METHODS: By employing the National Survey on the State of Life and the Desire for Welfare of the Elderly, 2004 in South Korea this study attempted to identify the factors that determine subjective life satisfaction among the elderly. The data utilized herein consisted of 3278 elderly people aged 65 years or older, from 9308 households. RESULTS: The results of analysis from the final model after the introduction of 19 variables in 8 factors showed statistically similar explanatory power in men (adj. R²=0.320) and in women (adj. R²=0.346). We found that economic condition was the most influential factor in both men (B=0.278) and women (B=0.336) except perceived health condition variables. The second most influential variable in life satisfaction was health checkups in men (B=0.128) and degree of nutritional diet in women (B=0.145). Those who had experience with chronic diseases also reported significantly lower perceived life satisfaction and this was particularly true of women. CONCLUSIONS: The aging society requires an understanding of the lives of elderly individuals. This study explored factors associated with life satisfaction in old age by using a life satisfaction model. The success of an aging society begins with an accurate understanding of the elderly, and thus political attention will need to be focused on this matter.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".