Moderate to Severe Chronic Pain in Later Life: Risk and Resilience Factors for Recovery

Li, Rui; Dworkin, Robert H.; Chapman, Benjamin P.; Becerra, Adan Z.; Yang, Luoying; Mooney, Christopher J.; Seplaki, Christopher L.

doi:10.1016/j.jpain.2021.05.007

Cited by 7 publications

(6 citation statements)

References 50 publications

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“…Among respondents who confirmed that often troubled with pain, HRS asks two follow up questions regarding the severity and interference of the pain: “How bad is the pain most of the time: mild, moderate, or severe?”, and “Does the pain make it difficult for you to do your usual activities such as household chores or work? (yes/no).” Following previous studies (Covinsky et al, 2009; Li et al, 2021), we used all three questions and classified respondents who answered yes to the first question, then rated their pain as moderate or severe, or reported having difficulty with usual activities (moderate-to-severe limiting pain = 1) versus those who answered no pain, or mild pain without limitations (moderate-to-severe limiting pain = 0; or also refer to as “pain free” or “no pain” for parsimony).…”

Section: Methodsmentioning

confidence: 83%

Perceived Neighborhood Characteristics and Later-Life Pain Outcomes: Evidence From the Health and Retirement Study

et al. 2023

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Objectives: This study examines whether perceived neighborhood characteristics relate to pain outcomes among middle-aged and older adults. Methods: Data were from the Health and Retirement Study (2006–2014; n = 18,814). Perceived neighborhood characteristics were physical disorder, social cohesion, safety, and social ties. We fitted adjusted generalized estimating equation models to evaluate prevalence, incidence, and recovery of moderate-to-severe limiting pain 2 years later. Results: The mean age of our sample was 65.3 years; 54.6% were female and 24.2% reported moderate-to-severe limiting pain at baseline. Positive neighborhood characteristics were associated with low prevalence (e.g., prevalence ratio [PR]: .71 for disorder) and reduced incidence (e.g., PR: .63 for disorder) of moderate-to-severe limiting pain. Positive neighborhood characteristics were associated with a high recovery rate from moderate-to-severe limiting pain (e.g., PR = 1.15 for safety), though the 95% CIs for disorder and cohesion crossed the null. Discussion: Neighborhood characteristics may be important determinants in predicting pain in later life.

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Section: Methodsmentioning

confidence: 83%

Perceived Neighborhood Characteristics and Later-Life Pain Outcomes: Evidence From the Health and Retirement Study

et al. 2023

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“…The phrasing employed may not sufficiently align with the criteria for defining CP, specifically regarding the duration of pain, 20 21 and may encompass both trivial and recent instances of pain. 22 Therefore, the association between different pain measures and different types of follow-up attrition remains unclear. This study sought to discern the extent to which CP contributes to differential types of follow-up attrition using the Midlife in the United States (MIDUS) study.…”

Section: Bmj Public Healthmentioning

confidence: 99%

Association between chronic pain and attrition: a prospective analysis of a national sample of midlife adults in the USA, 2004–2014

Liang

2024

bmjph

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BackgroundHealth conditions of participants can significantly affect longitudinal drop-out in population-based epidemiological surveys, yet few studies have examined the association between chronic pain (CP) and follow-up attrition.MethodsThe Midlife in the United States study (MIDUS) was used to explore the longitudinal association between CP and survey attrition. CP was assessed by three measures: the presence of CP, CP interference and the number of pain sites at MIDUS 2. The types of sample attrition at MIDUS 3 encompassed several categories: complete, refusal to participate, inability to participate due to physical or mental constraints, deceased, non-working numbers, participants consistently unavailable for interviews, global refusal or withdrew from the study and not fielded. Multinomial logistic regression was employed to examine these relationships and to explore the moderation effects of sociodemographic variables and multiple chronic conditions on these associations.ResultsHigh-interference pain was associated with a 162% increased risk (RR 2.62, 95% CI 1.12 to 6.16, p=0.026) of being physically and mentally unable to participate in MIDUS 3. Individuals reporting the presence of CP (RR 0.65, 95% CI 0.45 to 0.95, p=0.028) and those with three or more CP sites (RR 0.48, 95% CI 0.27 to 0.87, p=0.016) were less likely to refuse participation in MIDUS 3. However, no further significant associations or moderating effects were identified.ConclusionPopulation-based epidemiological surveys may be susceptible to attrition bias from participants with CP, necessitating the adoption of adaptive survey methodologies.

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“…If participants report better sleep quality, they will have less pain and better self-rated health on the following day ( 46 ). Improving sleep quality is an important approach to reduce the CP burden ( 47 ). Another systematic scoping review has suggested that sleep disturbances, and sleep disorders were associated with worse pain outcomes and treatment-induced sleep improvements ameliorated pain outcomes among veterans with CP ( 48 ).…”

Section: Clinical Research On the Relationship Between Chronic Pain A...mentioning

confidence: 99%

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review

Duo,

Yu,

et al. 2023

Front. Psychiatry

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Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient’s quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug–drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.

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Moderate to Severe Chronic Pain in Later Life: Risk and Resilience Factors for Recovery

Cited by 7 publications

References 50 publications

Perceived Neighborhood Characteristics and Later-Life Pain Outcomes: Evidence From the Health and Retirement Study

Perceived Neighborhood Characteristics and Later-Life Pain Outcomes: Evidence From the Health and Retirement Study

Association between chronic pain and attrition: a prospective analysis of a national sample of midlife adults in the USA, 2004–2014

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review

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