Worse health‐related quality of life, impaired functioning and psychiatric comorbidities are associated with excess mortality in patients with severe chronic pain

Pain Lowers Subjective Survival Probabilities Among Middle-Aged and Older Adults

OBJECTIVES

Pain is a leading cause of disability and a limiting factor in individuals' assessments of their own subjective health; however, its association with subjective longevity has yet to be explored. Subjective survival probabilities (SSPs), or one's own perceived chances of living to a given age, can influence individuals' behavior as they plan for their futures. This study assesses whether pain correlates to lower SSPs.

METHODS

We use a repeated cross-section of the 2000-2018 waves of the Health and Retirement Study, a longitudinal and nationally representative survey of Americans aged 51 and older (N = 31,773).

RESULTS

Fractional logit regressions indicate that, across all age groups, respondents with severe and/or interfering pain reported significantly lower SSPs than those with no pain (Marginal Effect [ME] = -0.03 to -0.06, p < .05). Controlling for all covariates, mild or moderate noninterfering pain was only associated with a significant reduction in SSPs among the youngest group reporting their chances of living to age 75 (ME = -0.02, p < .001). Descriptively and in the model results, respondents with mild or moderate noninterfering pain appeared to more closely resemble pain-free respondents than those with severe or interfering pain.

DISCUSSION

These findings highlight the importance of pain on SSPs, and contribute to the growing evidence that pain interference is uniquely important in predicting meaningful health outcomes.

Examining the Relationship Between Chronic Pain and Mortality in U.S. Adults

Chronic pain (CP) significantly impacts quality of life and increases noncommunicable disease risk, with recent U.S. data showing a 6.3% incidence rate, surpassing diabetes, depression, and hypertension. International studies suggest higher mortality in CP populations, yet prior U.S. data are inconclusive. To investigate CP's mortality risk, we analyzed National Health Interview Survey and National Death Index data. We hypothesized that individuals with CP and high-impact CP (HICP [≥1 activity limitation]) would exhibit higher mortality rates. National Health Interview Survey provided demographics, pain reporting, lifestyle, and psychosocial data matched with National Death Index mortality records. Chi-square analyses explored the relationships between CP/HICP and demographics, lifestyle factors, psychosocial variables, and mortality. Cox proportional hazards models assessed mortality risk between groups. The weighted sample was 245,899,776; 20% reported CP and 8% HICP, both groups exhibiting higher mortality rates than pain-free individuals (CP: 5.55%, HICP: 8.79%, total: 2.82%). Hazard ratios indicated nearly double the mortality risk for CP and 2.5 times higher risk for HICP compared to those without these conditions. Adjusting for lifestyle and psychosocial factors reduced mortality risk but remained elevated compared with non-CP individuals. Heart disease, malignant neoplasms, and chronic lower respiratory diseases accounted for a higher percentage of deaths in CP cases. CP individuals showed higher rates of smoking, alcohol consumption, obesity, inactivity, depression, anxiety, emotional problems, and sleep disturbances. CP and HICP significantly influence mortality outcomes, leading to excess deaths compared with pain-free individuals. Given the relationship between pain, lifestyle, psychosocial variables, and mortality, further investigations are needed into CP causation and prevention strategies. PERSPECTIVE: This article presents evidence regarding the relationship between CP, HICP, and mortality. Additional findings are discussed regarding the impact of demographics, lifestyle, and psychosocial variables on mortality in those with versus without CP and HICP. These findings are crucial for informing future research, prevention, and healthcare management strategies.

Advancements in Understanding and Classifying Chronic Orofacial Pain: Key Insights from Biopsychosocial Models and International Classifications (ICHD-3, ICD-11, ICOP)

In exploring chronic orofacial pain (COFP), this review highlights its global impact on life quality and critiques current diagnostic systems, including the ICD-11, ICOP, and ICHD-3, for their limitations in addressing COFP's complexity. Firstly, this study outlines the global burden of chronic pain and the importance of distinguishing between different pain types for effective treatment. It then delves into the specific challenges of diagnosing COFP, emphasizing the need for a more nuanced approach that incorporates the biopsychosocial model. This review critically examines existing classification systems, highlighting their limitations in fully capturing COFP's multifaceted nature. It advocates for the integration of these systems with the DSM-5's Somatic Symptom Disorder code, proposing a unified, multidisciplinary diagnostic approach. This recommendation aims to improve chronic pain coding standardization and acknowledge the complex interplay of biological, psychological, and social factors in COFP. In conclusion, here, we highlight the need for a comprehensive, universally applicable classification system for COFP. Such a system would enable accurate diagnosis, streamline treatment strategies, and enhance communication among healthcare professionals. This advancement holds potential for significant contributions to research and patient care in this challenging field, offering a broader perspective for scientists across disciplines.

Predictors of Multiwave Opioid Use Among Older American Adults

Background and Objectives

Despite limited analgesic benefits, long-term opioid therapy (L-TOT) is common among older adults with chronic pain. Extended opioid use poses a threat to older adults as aging metabolisms retain opioids for longer, increasing the risk of injury, overdose, and other negative health outcomes. In contrast to predictors of general opioid use, predictors of L-TOT in older adults are not well documented. We aimed to identify such predictors using all available data on self-reported opioid use in the Health and Retirement Study.

Research Design and Methods

Using 5 waves of data, respondents (N = 10,713) aged 51 and older were identified as reporting no opioid use (n = 8,621), a single wave of use (n = 1,410), or multiple waves of use (n = 682). We conducted a multinomial logistic regression to predict both single- and multiwave opioid use relative to no use. Demographic, socioeconomic, geographic, health, and health care-related factors were included in our model.

Results

Multivariable findings show that, relative to nonusers, both single- and multiwave users were significantly more likely to be younger (relative risk ratio [RRR] = 1.33; RRR = 2.88); report lower household wealth (RRR = 1.47; RRR = 2.88); live in the U.S. Midwest (RRR = 1.29; RRR = 1.56), South (RRR = 1.34; RRR = 1.58), or West (RRR = 1.46; RRR = 2.34); experience interfering pain (RRR = 1.59; RRR = 3.39), back pain (RRR = 1.35; RRR = 1.53), or arthritic pain (RRR = 1.46; RRR = 2.32); and see the doctor frequently (RRR = 1.50; RRR = 2.02). Multiwave users were less likely to be Black (RRR = 0.69) or Hispanic (RRR = 0.45), and less likely to be never married (RRR = 0.52).

Discussion and Implications

We identified demographic, socioeconomic, geographic, and health care-related predictors of chronic multiyear opioid use. Our focus on individuals taking opioids for this extended duration is novel. Differences in opioid use by geographic region and frequency of doctor visits particularly warrant attention from policy-makers and researchers. We make additional recommendations based on a sensitivity analysis limited to 2016-2020 data.