Bidirectional associations between body mass and bodily pain among middle-aged and older adults

Chronic pain in older adults with disabilities is associated with fall-related injuries: a prospective cohort study

PURPOSE

Previous studies have shown an association between chronic pain and the occurrence of falls in community-dwelling older adults; however, the association between chronic pain and fall-related injuries in older adults with disabilities is unclear. This study aimed to determine the association between chronic pain and fall-related injuries in older adults with disabilities.

METHODS

This 24-month prospective cohort study included older adults aged 65 years or older using Japanese long-term care insurance services. Chronic pain, defined as "pain that has persisted for more than three months to date," was assessed using a face-to-face questionnaire. Fall-related injuries, defined as "injuries requiring hospitalization or outpatient treatment due to a fall," were assessed using a fall calendar. Data were analyzed using a Cox proportional hazards model, with fall-related injury as the dependent variable, chronic pain as the independent variable, and confounders as covariates.

RESULTS

Among 133 included participants, 15 experienced fall-related injuries. After adjusting for age and sex as covariates, chronic pain was significantly associated with fall-related injuries (hazard ratio: 5.487, 95% confidence interval: 1.211-24.853, p = 0.027).

CONCLUSIONS

Chronic pain was associated with fall-related injuries in older adults with disabilities. In this population, a greater focus should be placed on treating chronic pain to reduce the occurrence of falls.

Using a Whole Health Approach to Build Biopsychosocial-Spiritual Personal Health Plans for Veterans with Chronic Pain

Chronic pain affects over 50 million Americans per year and costs society billions of dollars annually. It is widely accepted that the biomedical model is outdated and research on the biopsychosocial model of chronic pain has increased in recent years, concurrent with investigations into self-management of chronic pain. The Veterans Health Administration (VHA) has incorporated both of these approaches into their Whole Health System. This work describes the VHA Whole Health System, reviews the literature on alignment between the Whole Health System's Circle of Health and chronic pain, and explains how the VHA Whole Health model may be used as a method for organizing self-management strategies within a personal health plan in the context of chronic pain. Given the infusion of nurses throughout the healthcare system, nurses are in a unique position to champion this biopsychosocial-spiritual approach to care.

Weight change in a national cohort of U.S. Military Veterans engaged in medication treatment for opioid use disorder

Medication treatments for opioid use disorder (MOUD) save lives and improve outcomes for countless individuals. However, data suggest the potential for significant weight gain during methadone treatment and little is known about weight change during buprenorphine treatment. Using Veteran Health Administration administrative data from fiscal year 2017 to fiscal year 2019, two cohorts were created: 1) Veterans diagnosed with opioid use disorder (OUD) taking methadone (N = 1425); and 2) Veterans diagnosed with OUD taking buprenorphine (N = 3756). Linear mixed models were used to analyze weight change during the first MOUD treatment episode in the observation period. Random slopes and intercepts were included in the model to estimate variation in BMI across individuals and time. The data revealed a slight upward trend in BMI over the course of treatment. Specifically, a daily increase of 0.004 for Veterans in methadone treatment and 0.002 for Veterans in buprenorphine treatment was observed. This translates to a gain of about 10 pounds over the course of 1 year of methadone treatment and 5 pounds for 1 year of buprenorphine treatment for a Veteran of average height and weight. The amount of weight gain in methadone treatment is significantly less than other published findings, but nonetheless indicates that assessment and discussions between patients and providers related to weight may be warranted.

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

ABSTRACT

The potential consequences of the number of chronic pain sites (referred to multisite chronic pain) on the risk of cardiovascular diseases (CVDs) remain unclear. We attempted to investigate the causality of multisite chronic pain with CVDs and its possible causal mediators. Using summary genome-wide association statistics, two-sample Mendelian randomization (MR) analyses were performed to assess whether multisite chronic pain has a causal effect on the 3 CVDs including coronary artery disease, atrial fibrillation, and stroke. We then conducted MR mediation analyses to establish whether body mass index (BMI), smoking, and depression causally mediate any association. Genetic liability to multisite chronic pain was associated with increased risk of coronary artery disease (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.19-1.95 per one increase in the number of pain locations) but not with atrial fibrillation or stroke. We also found positive causal effects of multisite chronic pain on BMI, smoking, and depression and causal effects of BMI, smoking, and depression on coronary artery disease. In multivariable MR analyses, the excess risk of coronary artery disease was attenuated after adjusting for BMI (OR 1.43, 95% CI 1.05-1.93), smoking (OR 1.49, 95% CI 1.11-2.00), depression (OR 1.44, 95% CI 1.03-2.01), and 3 risk factors combined (OR 1.34, 95% CI 0.88-2.05). Our findings demonstrated that multisite chronic pain led to higher risk of coronary artery disease, which is partly mediated through BMI, smoking, and depression.

Multisite chronic pain and the risk of autoimmune diseases: A Mendelian randomization study

Background

Accumulating evidence has demonstrated that an association between chronic pain and autoimmune diseases (AIDs). Nevertheless, it is unclear whether these associations refer to a causal relationship. We used a two-sample Mendelian randomization (MR) method to determine the causal relationship between chronic pain and AIDs.

Methods

We assessed genome-wide association study (GWAS) summary statistics for chronic pain [multisite chronic pain (MCP) and chronic widespread pain (CWP)], and eight common AIDs, namely, amyotrophic lateral sclerosis (ALS), celiac disease (CeD), inflammatory bowel disease (IBD), multiple sclerosis (MS), rheumatoid arthritis (RA), systemic lupus Erythematosus (SLE), type 1 diabetes (T1D) and psoriasis. Summary statistics data were from publicly available and relatively large-scale GWAS meta-analyses to date. The two-sample MR analyses were first performed to identify the causal effect of chronic pain on AIDs. The two-step MR and multivariable MR were used to determine if mediators (BMI and smoking) causally mediated any connection and to estimate the proportion of the association mediated by these factors combined.

Results

With the utilization of MR analysis, multisite chronic pain was associated with a higher risk of MS [odds ratio (OR) = 1.59, 95% confidence interval (CI) = 1.01-2.49, P = 0.044] and RA (OR = 1.72, 95% CI = 1.06-2.77, P = 0.028). However, multisite chronic pain had no significant effect on ALS (OR = 1.26, 95% CI = 0.92-1.71, P = 0.150), CeD (OR = 0.24, 95% CI = 0.02-3.64, P = 0.303), IBD (OR = 0.46, 95% CI = 0.09-2.27, P = 0.338), SLE (OR = 1.78, 95% CI = 0.82-3.88, P = 0.144), T1D (OR = 1.15, 95% CI = 0.65-2.02, P = 0.627) or Psoriasis (OR = 1.59, 95% CI = 0.22-11.26, P = 0.644). We also found positive causal effects of MCP on BMI and causal effects of BMI on MS and RA. Moreover, there were no causal connections between genetically predicted chronic widespread pain and the risk of most types of AIDs disease.

Conclusion

Our MR analysis implied a causal relationship between MCP and MS/RA, and the effect of MCP on MS and RA may be partially mediated by BMI.