Healthy Aging and Concerns Among Elderly Japanese
Bibliographic record
Abstract
Japan is facing an unprecedented aging society. In 2013, 25.1% of the total population in Japan was 65 years old and over. One third of the population in Japan will be at least 65 years old in 2035; healthy aging is crucial for public health and society in Japan. Under the budget limitations of social security, policies and frequent policy changes have created great uncertainty and concern for the elderly population. Given these circumstances, we conducted questionnaire surveys in 2010 to examine concerns in this age-group. In 2010, we sent questionnaires to university graduates 65 years old and older, randomly selected from a list of an alumni association of 11 universities. The questionnaires were open-ended and asked them to write any concerns that they had about health care, health policy, health systems, and their future. We received 344 responses. Among those who responded, 271 (78.8%) respondents said that they had concerns. We conducted a text analysis (Trend Search-Keyword Associator 2008) and extracted the keywords from their responses. The keywords that were extracted frequently included hospitals, doctors, health-care system, health care, Japanese government policies, government, medical insurance system for the elderly, support, increase, copayment, health (their own), scarcities, and burdens. In this study, many elderly people in Japan are concerned about health-care expenditures, health-care systems, and health policies. This may be caused by frequent health policy changes and uncertainty due to frequent administration changes such as the lack of clarity concerning raising the out of pocket payment rate from 10% to 20% for elderly people under budget constraints in Japan. Correct policy making and determination to eliminate the concerns from this vulnerable population in Japan are necessary for healthy aging.
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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 | 0.002 | 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) | 0.000 | 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".