| id |
250632b8-ddec-491c-97aa-aeb4de573fe1 |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
xaxkkpem-6210 |
| base_model_name |
xevyo |
| base_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| model_name |
Healthy life expectancy, |
| model_desc |
Healthy life expectancy, mortality, and age |
| model_path |
/home/sid/tuning/finetune/backend/output/xaxkkpem- /home/sid/tuning/finetune/backend/output/xaxkkpem-6210/merged_fp16_hf... |
| source_model_name |
xevyo |
| source_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| source_job_id |
xevyo-base-v1 |
| dataset_desc |
This paper explains why traditional measures of He This paper explains why traditional measures of Healthy Life Expectancy (HLE) can be misleading when they rely only on age-specific morbidity (illness/disability) rates.
The authors show that many health conditions in older ages are not primarily driven by age, but by Time-To-Death (TTD)—how close someone is to dying. Because of this, the usual practice of linking health problems to chronological age produces distorted results, especially when comparing populations or tracking trends over time.
Key Insights
Morbidity often rises sharply in the final years before death, regardless of the person's age.
Therefore, when life expectancy increases, the population shifts so that more people are farther from death, leading to lower observed disability at a given age—even if the true underlying health process hasn’t changed.
This means that improvements in mortality alone can make it appear that morbidity has decreased or that people are healthier at older ages.
As a result, period HLE estimates may falsely suggest real health improvements, when the change actually comes from mortality declines—not better health.
What the Study Demonstrates
Using U.S. Health and Retirement Study data and mortality tables:
They model disability patterns based on TTD and convert them into apparent age patterns.
They show mathematically and empirically how mortality changes distort age-based morbidity curves.
They test how much bias enters standard health expectancy decompositions (e.g., Sullivan method).
They find that a 5-year increase in life expectancy after age 60 can artificially reduce disability estimates by up to 1 year, even if actual morbidity is unchanged.
Core Message
Age-based prevalence of disease/disability cannot be reliably interpreted without understanding how close individuals are to death.
Thus, comparing HLE between populations—or within a population over time—can be biased unless TTD dynamics are considered.... |
| dataset_meta |
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| dataset_path |
/home/sid/tuning/finetune/backend/output/xaxkkpem- /home/sid/tuning/finetune/backend/output/xaxkkpem-6210/data/xaxkkpem-6210.json... |
| training_output |
null |
| status |
completed |
| created_at |
1764894023 |
| updated_at |
1764900033 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/xaxkkpem- /home/sid/tuning/finetune/backend/output/xaxkkpem-6210/adapter... |
| plugged_in |
False |