Abstract
Purpose
Chronic pain may accelerate the development of frailty in older adults through a variety of mechanisms. There are no published investigations of the influence of neuropathic-like symptoms on physical frailty. We investigated the association between chronic pain types (nociceptive and neuropathic-like symptoms) and frailty in community-dwelling Japanese older adults.
Participants and Methods
This was a population-based cross-sectional study conducted in 2017 in the city of Itoshima, Japan of 917 participants aged 65–75 years, not in need of long-term care, who had completed the physical function tests and questionnaires administered at measurement sessions held at community centers at three sites over a 1- to 2-month period. Their chronic pain types were classified as no-chronic pain, nociceptive pain, and neuropathic-like symptoms according to their painDETECT scores. Frailty phenotypes were defined by the following five components: unintentional weight loss, low grip strength, exhaustion, slow gait speed, and low physical activity. A logistic regression model was used to compute the odds ratios (ORs) and 95% confidence interval (CIs) for frailty status outcomes.
Results
The prevalence of pre-frailty was 51.9%, and that of frailty was 5.1%. In multinomial logistic regression analyses, compared to the no-chronic pain group, the OR for the presence of pre-frailty among the participants with nociceptive pain was 1.54 (95% CI: 1.04–2.30, p=0.03), and the OR for the presence of frailty among the participants with neuropathic-like symptoms was 4.37 (95% CI: 1.10–17.37, p=0.04). The neuropathic sensory symptoms of burning, tingling/prickling, and numbness were each associated with frailty, but not with the risk of pre-frailty.
Conclusion
Neuropathic-like symptoms were significantly associated with the presence of frailty in community-dwelling Japanese older adults. Chronic pain types might have different effects on frailty status.
Abbreviations
BMI, body mass index; CHS, Cardiovascular Health Study; CI, confidence interval; MMSE, Mini-Mental State Examination; OR, odds ratio; PD-Q, painDETECT questionnaire; QST, quantitative sensory testing, SD, standard deviation.
Acknowledgments
We thank Dr. Shuzo Kumagai, Dr. Tao Chen, and the Itoshima City Office for their support in designing this study and recruiting participants.
Disclosure
The authors have no conflicts of interest to declare.