| id |
9de7d2a5-252b-4a53-87c1-f7222877ac4c |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
tdijspez-8905 |
| 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 |
Impacts of Poverty |
| model_desc |
Impacts of Poverty and Lifestyles on Mortality |
| model_path |
/home/sid/tuning/finetune/backend/output/tdijspez- /home/sid/tuning/finetune/backend/output/tdijspez-8905/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 study investigates how poverty and unhealthy This study investigates how poverty and unhealthy lifestyles influence the risk of death in the United Kingdom, using three large, nationally representative cohort studies. Its central conclusion is striking and policy-relevant: poverty is the strongest predictor of mortality, more powerful than any individual lifestyle factor such as smoking, inactivity, obesity, or poor diet.
The study examines five key variables:
Housing tenure (proxy for lifetime poverty)
Poverty
Smoking status
Lack of physical exercise
Unhealthy diet
Across every cohort analyzed, poverty emerges as the single most important determinant of death risk. People living in poverty were twice as likely to die early compared to those who were not. Housing tenure — especially renting rather than owning — similarly predicted higher mortality, reflecting deeper socioeconomic deprivation accumulated over the life course.
Lifestyle factors do matter, but far less so. Smoking increased mortality risk by 94%, lack of exercise by 44%, and unhealthy diet by 33%, while obesity raised the risk by 27%. But even combined, these lifestyle risks did not outweigh the impact of poverty.
The study also demonstrates a powerful cumulative effect: individuals exposed to multiple lifestyle risks + poverty experience the highest mortality hazards of all. However, the data show that eliminating poverty alone would produce larger population-level mortality reductions than eliminating any single lifestyle factor — challenging the common assumption that public health should focus primarily on personal behaviors.
🔍 Key Findings
1. Poverty dominates mortality risk
Poverty had the strongest hazard ratio across all models.
Reducing poverty would therefore generate the largest reduction in premature deaths.
2. Lifestyle risks matter but are secondary
Smoking, inactivity, and diet each contribute to mortality —
but their impact is smaller than poverty’s.
3. Housing tenure is a powerful long-term socioeconomic marker
Renters had significantly higher mortality risk than homeowners,
indicating that lifelong deprivation drives long-term health outcomes.
4. Combined risk exposure worsens mortality dramatically
People who were poor and had multiple unhealthy lifestyle behaviors
experienced the highest mortality hazards.
5. Policy implication: Social determinants must take priority
The study argues that public health must not focus solely on individual lifestyles.
Structural socioeconomic inequalities — income, housing, access, opportunity —
shape the distribution of unhealthy behaviors in the first place.
🧭 Overall Conclusion
This research provides compelling evidence that poverty reduction is the most effective mortality-reduction strategy available, outweighing even the combined effect of major lifestyle changes. While promoting healthy behavior remains important, the paper demonstrates that addressing socioeconomic deprivation is essential for improving national life expectancy and reducing health inequalities.... |
| dataset_meta |
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| dataset_path |
/home/sid/tuning/finetune/backend/output/tdijspez- /home/sid/tuning/finetune/backend/output/tdijspez-8905/data/tdijspez-8905.json... |
| training_output |
null |
| status |
completed |
| created_at |
1764889556 |
| updated_at |
1764893752 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/tdijspez- /home/sid/tuning/finetune/backend/output/tdijspez-8905/adapter... |
| plugged_in |
False |