The Influence of Neighbourhood Deprivation on Health Related Quality of Life In Advanced Arthritis
Bibliographic record
Abstract
Arthritis is a growing aging and public health concern in Canada and elsewhere. As with many other chronic health conditions, arthritis occurs more often and has a higher impact on functioning for people who have lower incomes or live in an impoverished environment. There is a large body of research that supports a gradient between socioeconomic status and health and between area level poverty and decreased quality of life. Although this relationship is widely acknowledged, less is known about the influence of broader social conditions at the neighbourhood level on health outcomes. By examining quality of life from the theoretical framework of poverty as a fundamental cause of differences in health (Link & Phelan, 1995) and Bourdieu’s (1984) theory of habitus, I provide an analysis of the direct impact of material and social deprivation on health related quality of life (HRQoL), as well as the impact considering the influence of age, body weight, physical functioning, gender, and coexisting health conditions. I also examine interaction effects between neighbourhood deprivation and individual characteristics. An explanatory three-level multilevel model supported a relationship between individual factors as well as deprivation at the neighbourhood level on quality of life. The impact of neighbourhood deprivation was more pronounced for mental health related life quality, with a history of another health condition making the largest contribution to the model. Physical HRQoL was impacted by gender in interaction with material deprivation and body mass index in interaction with social deprivation. I discuss implications for practice, service delivery, and policy and make suggestions for further research.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".