Chronic pain and cigarette smoking and nicotine dependence among a representative sample of adults
Bibliographic record
Abstract
INTRODUCTION: Individuals with chronic pain problems are at an increased risk for certain types of substance abuse and dependence. Recent work suggests that there is a significant association between chronic pain and cigarette smoking; however, it is unclear as to whether pain-smoking effects are evident above and beyond sociodemographic factors and cooccurring substance use disorders. The present investigation examined the relation between lifetime and current (past year) chronic pain and cigarette smoking status and nicotine dependence. METHODS: This investigation comprised a large representative sample of English-speaking adults (n = 9,282) residing in the United States. Data were collected primarily through face-to-face interviews conducted between February 2001 and April 2003. RESULTS: After adjusting for sociodemographic variables and the presence of a lifetime substance use disorder, individuals with a lifetime history of chronic neck or back pain were significantly more likely to be current smokers and to be diagnosed with lifetime as well as current nicotine dependence. Although there was no significant incremental relation between current chronic neck and back pain and being a current smoker, there was a significant association with lifetime and current nicotine dependence. Similar relations were evident among those with and without medically unexplained chronic pain in regard to smoking status and lifetime and current nicotine dependence. DISCUSSION: Findings are discussed in terms of better understanding the chronic pain-smoking association.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".