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Chronic musculoskeletal pain prospectively predicts insomnia in older people, not moderated by age, gender or co-morbid illnesses.

ABSTRACT: The study evaluated if chronic musculoskeletal (MSK) pain predicts the severity of insomnia, and whether the effect is moderated by age, gender, and number of comorbid diseases in older people. An 18-month prospective study was performed within the framework of a community health program in Hong Kong. A total of 498 older people aged???60 with multimorbidity were recruited. The predictors included the presence of chronic MSK pain, pain measured by the Brief Pain Inventory (BPI), insomnia measured by baseline Insomnia Severity Index (ISI), and number of co-morbid diseases, age, and gender. The outcome was ISI repeated at 18 months. The moderators included age, gender, and number of comorbid diseases. Multivariate linear regression and moderation analysis were conducted. We found that the presence of chronic MSK pain (??=?1.725; 95% CI, 0.607-2.842; P?

SUBMITTER: Sit RWS

PROVIDER: S-EPMC7810727 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Chronic musculoskeletal pain prospectively predicts insomnia in older people, not moderated by age, gender or co-morbid illnesses.

Sit Regina Wing Shan RWS Yip Benjamin Hon Kei BHK Wang Bo B Chan Dicken Cheong Chun DCC Zhang Dexing D Wong Samuel Yeung Shan SYS

Scientific reports 20210115 1

The study evaluated if chronic musculoskeletal (MSK) pain predicts the severity of insomnia, and whether the effect is moderated by age, gender, and number of comorbid diseases in older people. An 18-month prospective study was performed within the framework of a community health program in Hong Kong. A total of 498 older people aged ≥ 60 with multimorbidity were recruited. The predictors included the presence of chronic MSK pain, pain measured by the Brief Pain Inventory (BPI), insomnia measure ...[more]

PMID: 33452447

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Project description:IntroductionChronic pain affects millions of individuals worldwide. Healthcare provider gender bias in the management of these individuals has societal and individual ramifications. Yet, a thorough and comprehensive literature summary on this topic is lacking. Therefore, this study aims to systematically: (1) identify and map the available scientific and grey literature as it relates to healthcare provider gender bias in the assessment, diagnosis and management of (chronic) musculoskeletal pain and (2) identify current gaps that necessitate further research.Methods and analysisThis scoping review will be conducted in accordance with recent guidelines, and the results will be reported via the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. The following databases will be searched: PubMed (National Library of Medicine), Embase (Elsevier), Scopus (Elsevier), CINAHL Complete (Ovid), Academic Search Complete (Ebscohost), Pre-Prints Database (National Library of Medicine) and Rehabilitation Reference Center from inception to August 2022. Additionally, relevant grey literature will be identified. All screening will be done by two independent reviewers during two stages: first title/abstract screening followed by full-text screening. Data will be extracted from the bibliometric, study characteristics, and pain science families of variables. Results will be descriptively mapped, and the frequency of concepts, population, characteristics and other details will be narratively reported. Additionally, results will be presented in tabular and graphical form.Ethics and disseminationAs this study will neither involve human subject participation nor utilisation of protected data, ethical approval is not required. This study's methodological approach follows current recommendations. Study findings will be disseminated through conference presentations and international peer-review journal publication. In addition, infographics available in English, Spanish and German will be disseminated.Registration detailsThis project will be registered in Open Science Framework prior to data collection.

Project description:BackgroundPeople with neuropathic-like symptoms had more unfavourable pain features than people with nociceptive. Moreover, deficient conditioned pain modulation is common in people with neuropathic-like symptoms. PainDETECT questionnaire have been used to assess the central sensitisation sign and symptoms. However, whether the painDETECT questionnaire can identify the conditioned pain modulation's impairment is still unknown. Therefore, the current study aimed to evaluate the diagnostic accuracy of the painDETECT questionnaire in detecting the impairment of conditioned pain modulation in people with musculoskeletal pain.MethodsWe conducted a diagnostic accuracy comparing the painDETECT questionnaire (index method) with the cold pressor test, the psychophysical test used to assess the conditioned pain modulation (reference standard). We determined diagnostic accuracy by calculating sensitivity, specificity, predictive values, and likely hood ratios.ResultsWe retrospectively enrolled 308 people with musculoskeletal pain in outpatient departments. Most participants were female (n 20 = 220, 71.4%) and had a mean age of 52.2 (± 15.0) years. One hundred seventy-three (56.1%) participants were classified as nociceptive pain, 69 (22.4%) as unclear, and 66 (21.4%) as neuropathic-like symptoms. According to the cold pressor test, 60 (19.4%) participants presented impairment of conditioned pain modulation. The cutoff point of 12 of the painDETECT questionnaire showed values of diagnostic accuracy below 70% compared to the cold pressor test, except for a negative predictive value [76.9 95% Confidence Interval (CI) 71.7 to 81.5]. The cutoff point 19 showed high specificity (78.6%, 95% CI 73.0 to 83.5), high negative predictive value (80.5%, 95% CI 78.1 to 82.7), and accuracy of 67.5% compared to the cold pressor test.ConclusionThe painDETECT questionnaire seems valuable for ruling out people with musculoskeletal pain and impairment of conditioned pain modulation.

Project description:Insomnia is a major problem in the chronic spinal pain (CSP) population and has a negative impact on health and well-being. While insomnia is commonly reported, underlying mechanisms explaining the relation between sleep and pain are still not fully understood. Additionally, no reviews regarding the prevention of insomnia and/or associated factors in people with CSP are currently available. To gain a better understanding of the occurrence of insomnia and associated factors in this population, we conducted a systematic review of the literature exploring associates for insomnia in people with CSP in PubMed, Web of Science and Embase. Three independent reviewers extracted the data and performed the quality assessment. A meta-analysis was conducted for every potential associate presented in at least two studies. A total of 13 studies were found eligible, which together identified 25 different potential associates of insomnia in 24,817 people with CSP. Twelve studies had a cross-sectional design. Moderate-quality evidence showed a significantly higher rate for insomnia when one of the following factors was present: high pain intensity, anxiety and depression. Low-quality evidence showed increased odds for insomnia when one of the following factors was present: female sex, performing no professional activities and physical/musculoskeletal comorbidities. Higher healthcare use was also significantly related to the presence of insomnia. One study showed a strong association between high levels of pain catastrophizing and insomnia in people with chronic neck pain. Last, reduced odds for insomnia were found in physically active people with chronic low back pain compared to inactive people with chronic low back pain. This review provides an overview of the available literature regarding potential associates of insomnia in people with CSP. Several significant associates of insomnia were identified. These findings can be helpful to gain a better understanding of the characteristics and potential origin of insomnia in people witch CSP, to identify people with CSP who are (less) likely to have insomnia and to determine directions of future research in this area.

Dataset Information

Chronic musculoskeletal pain prospectively predicts insomnia in older people, not moderated by age, gender or co-morbid illnesses.

Publications

Chronic musculoskeletal pain prospectively predicts insomnia in older people, not moderated by age, gender or co-morbid illnesses.

Similar Datasets

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