Association of Pain With Physical Function, Depressive Symptoms, Fatigue, and Sleep Quality Among Veteran and non-Veteran Postmenopausal Women

Features, measurements, determinants, treatments, and outcomes of musculoskeletal symptoms in postmenopausal women: A scoping review

BACKGROUND

The literature lacks a consistent review of musculoskeletal symptoms in postmenopausal women.

AIM

To identify features, measurements, determinants, treatments, and outcomes of musculoskeletal symptoms in postmenopausal women.

METHOD

A scoping review was completed using six databases: Embase, Medline, Cochrane, CINAHL, Web of Science, and Scopus up to December 2022. Sixty-three articles were identified.

RESULTS

Musculoskeletal symptoms in postmenopausal women include somatic symptoms of non-specific origin, upper and lower limb symptoms, spinal pain, and decline in physical performance. Measurements were categorized into four groups: musculoskeletal symptoms for menopause, general musculoskeletal symptoms, menopause-specific quality of life, and general quality of life questionnaires. The determinants were grouped into four themes: demographics, physical determinants, psychosocial determinants, and lifestyle. Pharmacological interventions, supplementation options, and exercise regimens exist for postmenopausal women with musculoskeletal symptoms.

CONCLUSION

A comprehensive policy is needed to address musculoskeletal symptoms in postmenopausal women, promoting diverse treatments for improved quality of life.

Relationships of depression and antidepressant use with epigenetic age acceleration and all-cause mortality among postmenopausal women

We investigated relations of depressive symptoms, antidepressant use, and epigenetic age acceleration with all-cause mortality risk among postmenopausal women. Data were analyzed from ≤1,900 participants in the Women's Health Initiative study testing four-way decomposition models. After a median 20.4y follow-up, 1,161 deaths occurred. Approximately 11% had elevated depressive symptoms (EDS+), 7% were taking antidepressant medication at baseline (ANTIDEP+), while 16.5% fell into either category (EDS_ANTIDEP+). Baseline ANTIDEP+, longitudinal transition into ANTIDEP+ and accelerated epigenetic aging directly predicted increased mortality risk. GrimAge DNA methylation age acceleration (AgeAccelGrim) partially mediated total effects of baseline ANTIDEP+ and EDS_ANTIDEP+ on all-cause mortality risk in socio-demographic factors-adjusted models (Pure Indirect Effect >0, P < 0.05; Total Effect >0, P < 0.05). Thus, higher AgeAccelGrim partially explained the relationship between antidepressant use and increased all-cause mortality risk, though only prior to controlling for lifestyle and health-related factors. Antidepressant use and epigenetic age acceleration independently predicted increased all-cause mortality risk. Further studies are needed in varying populations.

Relationship of psychotropic medication use with physical function among postmenopausal women

To examine cross-sectional and longitudinal relationships of psychotropic medications with physical function after menopause. Analyses involved 4557 Women's Health Initiative Long Life Study (WHI-LLS) participants (mean age at WHI enrollment (1993-1998): 62.8 years). Antidepressant, anxiolytic, and sedative/hypnotic medications were evaluated at WHI enrollment and 3-year follow-up visits. Performance-based physical function [Short Physical Performance Battery (SPPB)] was assessed at the 2012-2013 WHI-LLS visit. Self-reported physical function [RAND-36] was examined at WHI enrollment and the last available follow-up visit-an average of 22 [±2.8] (range: 12-27) years post-enrollment. Multivariable regression models controlled for socio-demographic, lifestyle, and health characteristics. Anxiolytics were not related to physical function. At WHI enrollment, antidepressant use was cross-sectionally related to worse self-reported physical function defined as a continuous (β = -6.27, 95% confidence interval [CI]: -8.48, -4.07) or as a categorical (< 78 vs. ≥ 78) (odds ratio [OR] = 2.10, 95% CI: 1.48, 2.98) outcome. Antidepressant use at WHI enrollment was also associated with worse performance-based physical function (SPPB) [< 10 vs. ≥ 10] (OR = 1.53, 95% CI: 1.05, 2.21) at the 2012-2013 WHI-LLS visit. Compared to non-users, those using sedative/hypnotics at WHI enrollment but not at the 3-year follow-up visit reported a faster decline in physical function between WHI enrollment and follow-up visits. Among postmenopausal women, antidepressant use was cross-sectionally related to worse self-reported physical function, and with worse performance-based physical function after > 20 years of follow-up. Complex relationships found for hypnotic/sedatives were unexpected and necessitate further investigation.

Depressive symptoms and antidepressant use in relation to white blood cell count among postmenopausal women from the Women's Health Initiative

Inflammation can play a role in the pathophysiology of depression, and specific types of antidepressants may have inflammatory or anti-inflammatory properties. Furthermore, depression and antidepressant use has been linked to white blood cell (WBC) count, a routinely measured inflammatory marker. We examined the cross-sectional and longitudinal relationships of depressive symptoms and/or antidepressant use with WBC count among postmenopausal women. Analyses of cross-sectional data at enrollment were performed on 125,307 participants, 50-79 years of age, from the Women's Health Initiative Clinical Trials and Observational Studies who met eligibility criteria, and a subset of those with 3-year follow-up data were examined for longitudinal relationships. Depressive symptoms were defined using the Burnam Algorithm whereas antidepressant use was defined using therapeutic class codes. WBC count (Kcell/ml) was obtained through laboratory evaluations of fasting blood samples. Multivariable regression modeling was performed taking sociodemographic, lifestyle and health characteristics into consideration. At enrollment, nearly 85% were non-users of antidepressants with no depressive symptoms, 5% were antidepressant users with no depressive symptoms, 9% were non-users of antidepressants with depressive symptoms, and 2% were users of antidepressants with depressive symptoms. In fully-adjusted models, cross-sectional relationships were observed whereby women in the 2nd (OR = 1.06, 95% CI: 1.01, 1.13), 3rd (OR = 1.06, 95% CI: 1.00, 1.12) or 4th (OR = 1.10, 95% CI: 1.05, 1.17) quartiles of WBC count were more likely to exhibit depressive symptoms, and women in the 4th quartile were more likely to be users of antidepressants (OR = 1.07, 95% CI: 1.00, 1.15), compared to women in the 1st quartile. Compared to women who exhibited no depressive symptoms at either visit, those with consistent depressive symptoms at enrollment and at 3-year follow-up had faster decline in WBC count (β = -0.73, 95% CI: -1.33, -0.14) over time. No significant bidirectional relationships were observed between changes in depressive symptoms score and WBC count over time. In conclusion, depressive symptoms and/or antidepressant use were cross-sectionally related to higher WBC counts among postmenopausal women. Further evaluation of observed relationships is needed in the context of prospective cohort studies involving older adult men and women, with repeated measures of depression, antidepressant use, and WBC count.

Cognitive-behavioural pathways from pain to poor sleep quality and emotional distress in the general population: The indirect effect of sleep-related anxiety and sleep hygiene

OBJECTIVES

Pain can have a negative impact on sleep and emotional well-being. This study investigated whether this may be partly explained by maladaptive sleep-related cognitive and behavioural responses to pain, including heightened anxiety about sleep and suboptimal sleep hygiene.

METHODS

This cross-sectional study used data from an online survey that collected information about pain (Brief Pain Inventory), sleep (Pittsburgh Sleep Quality Index; Sleep Hygiene Index; Anxiety and Preoccupation about Sleep Questionnaire) and emotional distress (PROMIS measures; Perceived Stress Scale). Structural equation modelling examined the tenability of a framework linking these factors.

RESULTS

Of 468 survey respondents (mean age 39 years, 60% female), 29% reported pain (mean severity 1.12), most commonly in the spine or low back (28%). Pain severity correlated with poor sleep quality, poor sleep hygiene, anxiety about sleep and emotional distress. In the first structural equation model, indirect effects were identified between pain severity and sleep quality through anxiety about sleep (β = .08, p < .001) and sleep hygiene (β = .12, p < .001). In the second model, an indirect effect was identified between pain severity and emotional distress through sleep quality (β = .19, p < .01). Combining these models, indirect effects were identified between pain severity and emotional distress through anxiety about sleep, sleep hygiene and sleep quality.

CONCLUSIONS

This study provides data to support the tenability of a theoretically guided framework linking pain, sleep and emotional distress. If upheld by experimental and/or longitudinal study, this framework holds the potential to inform public health initiatives and more comprehensive pain assessment.

Association of sleep disturbance with Parkinson disease: evidence from the Women's Health Initiative

OBJECTIVE

To examine the association of sleep disturbance with Parkinson disease (PD) during 10+ years of follow-up among postmenopausal women, 50 to 79 years of age at baseline.

METHODS

Longitudinal data on 130,502 study-eligible women (mean ± standard deviation baseline age = 63.16 ± 7.20 y) from the Women's Health Initiative Clinical Trials and Women's Health Initiative Observational Study were analyzed. The cohort was followed for 15.88 ± 6.50 years, yielding 2,829 (2.17%) PD cases. Sleep disturbance (habitual sleep duration, insomnia symptoms, obstructive sleep apnea risk factors, sleep aids among those with WHI Insomnia Rating Scale scores (WHIIRS) > 9) was measured at baseline and one follow-up time by September 12, 2005. Cox proportional hazards models evaluated relationships controlling for sociodemographic, lifestyle, and health characteristics.

RESULTS

PD was significantly associated with long sleep duration (≥9 h) versus a benchmark of 7 to 8 hours (hazard ratio [HR] = 1.296, 95% confidence interval [CI]: 1.153-1.456), WHIIRS (>9 vs ≤9) (HR = 1.114, 95% CI:1.023-1.214), and use of sleep aids (yes vs no) (HR = 1.332, 95% CI:1.153-1.539) among those with WHIIRS > 9. Compared with 7 to 8 hours, short (<7 h) sleep duration was unrelated to PD. Finally, the presence of obstructive sleep apnea risk factors was not associated with PD.

CONCLUSIONS

Among postmenopausal women, sleep disturbance was associated with approximately 10% to 30% increased PD risk after ∼16 years follow-up. Prospective cohort studies with objective exposures and adjudicated outcomes that include men and women of diverse backgrounds are required to confirm and extend these findings.

The mediating and moderating effects of depression on the relationship between cognitive function and difficulty in activities of daily living among postmenopausal women

OBJECTIVE

Cognitive function and depression impact critically the daily functioning of menopausal women. This study aimed to explore the mediating and moderating effects of depressive symptoms on the association between cognitive function and activities of daily living (ADL) difficulty in postmenopausal women.

METHODS

A total of 2,596 postmenopausal women from the China Health and Retirement Longitudinal Study completed the Chinese version of the Mini-Mental State Examination, basic ADL (BADL) and instrumental ADL (IADL) scales, and 10-item Short-Form Center for Epidemiological Studies Depression. We constructed structural equation modeling to examine the association between cognitive function, depressive symptoms, and BADL/IADL difficulty.

RESULTS

The prevalence of BADL/IADL difficulty in postmenopausal women was 22.5% and 31.5%, respectively. After adjustments for demographic and health-related covariates, cognitive decline (contributed by four cognitive dimensions with different weights) was significantly associated with BADL/IADL difficulty (contributed by six-item daily activities with different weights). Depressive symptoms mediated and explained 28.8% and 23.2% of cognitive function associations with BADL and IADL difficulty, respectively. The Johnson-Neyman technique identified a threshold of eight and four for depressive symptoms, beyond which the protective effect of cognitive function on BADL and IADL emerged.

CONCLUSIONS

Depressive symptoms mediated and moderated the association between cognition and BADL/IADL difficulty in postmenopausal women. Compared with BADL, IADL may be more sensitive to changes in cognitive function. More strength should be put on developing comprehensive intervention techniques focusing on simultaneous intervention of multidimensional cognitive function and depression to maintain and improve the quality of life of postmenopausal women.

Extended overview of the longitudinal pain-depression association: A comparison of six cohorts treated for specific chronic pain conditions

BACKGROUND

The aim was to quantify and to compare the associations between longitudinal changes in pain and depression in different chronic pain conditions.

METHODS

Data were retrieved from 6 observational cohort studies. From baseline to the 6-month follow-up, the score changes on the Short Form (36) Health Survey (SF-36) bodily pain (pain) and the SF-36 mental health (depression) scales (0=worst, 100=best) were quantified, using partial correlations obtained by multiple regression. Adjustment was performed by age, living alone/with partner, education level, number of comorbidities, baseline pain and baseline depression.

RESULTS

Stronger associations were found between changes in levels of pain and depression for neck pain after whiplash (n = 103, mean baseline pain=21.4, mean baseline depression=52.5, adjusted correlation r = 0.515), knee osteoarthritis (n = 177, 25.4, 64.2, r = 0.502), low back pain (n = 134, 19.0, 49.4, r = 0.495), and fibromyalgia (n = 125, 16.8, 43.2, r = 0.467) than for lower limb lipedema (n = 68, 40.2, 62.6, r = 0.452) and shoulder arthroplasty (n = 153, 35.0, 76.4, r = 0.292). Those correlations were somewhat correlated to baseline pain (rank r=-0.429) and baseline depression (rank r=-0.314).

LIMITATIONS

The construct of the full range of depressive symptoms is not explicitly covered by the SF-36.

CONCLUSIONS

Moderate associations between changes in pain and depression levels were demonstrated across 5 of 6 different chronic pain conditions. The worse the pain and depression scores at baseline, the stronger those associations tended to be. Both findings indicate a certain dose-response relationship - an important characteristic of causal interference. Relieving pain by treatment may lead to the relief of depression and vice versa.

Menopause symptoms and chronic pain in a national sample of midlife women veterans

OBJECTIVE

Women are more likely than men to suffer chronic pain, with the highest rates seen in midlife. The symptoms that characterize menopause broadly affect health and well-being, but their contribution to chronic pain risk during this period is poorly understood. To address this gap in knowledge, we examined relationships between indicators of menopause symptoms and chronic pain among midlife women veterans, a population with prevalent chronic pain diagnoses and elevated risk for bothersome menopause symptoms.

METHODS

This is a cross-sectional analysis of national Veterans Health Administration medical and pharmacy records. Using national medical and pharmacy records from women veterans aged 45 to 64 with at least one VA encounter during 2014 and/or 2015 (n = 200,901), we developed multivariable logistic regression models to examine associations between menopause symptoms (defined by menopause symptom-related diagnoses on ≥2 encounters and/or menopause hormone therapy use) and chronic pain outcomes, adjusting for age, race, body mass index, mental health diagnoses, and substance use disorders.

RESULTS

In this national sample of midlife women veterans (mean age 54.3 ± 5.4), 13% had menopause symptoms, 52% had chronic pain, and 22% had ≥2 distinct chronic pain diagnoses. In multivariable analyses, women with menopause symptoms had nearly two-fold odds of chronic pain (odds ratio 1.84, 95% confidence interval 1.79-1.90, P < 0.001) and multiple chronic pain diagnoses (odds ratio 1.79, 95% confidence interval 1.74-1.83, P < 0.001).

CONCLUSIONS

These findings raise the possibility within this vulnerable critical period, midlife women with a higher menopause symptom burden may be most vulnerable for chronic pain.

The change of pain classes over time: a latent transition analysis

BACKGROUND

Pain is common in older adults, and associated with increased morbidity and reduced quality of life. Recent research has highlighted different classes of older adults with pain, each with differing impacts on their life. It has not yet been investigated if, and how, such classes change over time and what influences individuals to prospectively transition to a profile of either improved or worsened pain impact.

METHODS

Latent transition analysis (LTA) is a longitudinal model-based approach to identifying underlying subgroups in a population. LTA was used to model the change in pain of people aged 50 and above, from The Irish Longitudinal Study on Ageing, across three waves (n = 5,925). The LTA model was extended to include biopsychosocial covariates to predict transition probabilities between classes over time.

RESULTS

Three latent classes were identified based on three pain indicators (pain presence; pain affects daily life; pain requires medication) and were characterized as "No Pain", "Low-Moderate Impact Pain" and "High Impact Pain". Results indicate that the pain class of many changes over time. However, poor physical or mental health increased the risk of transitioning to a more severe pain class, from Wave 1 to Wave 2 and Wave 2 to Wave 3.

CONCLUSIONS

These findings show the change in pain of older adults over time, with both marked improvement and deterioration being observed. Critically, the predictors of individuals transitioning between classes reflect the breadth of biopsychosocial factors involved in pain.

SIGNIFICANT STATEMENT

This article identified differing classes of pain in older adults, using latent transition analysis. The analysis demonstrated how the pain classes of older adults are broadly consistent over time, however both improvement and deterioration in pain impact were observed. Transitions between classes were associated with several biopsychosocial factors. These results have important implications for the health and quality of life of older adults. Consideration of health, lifestyle and socio-demographic factors may enhance assessment and management of pain in older adults.

Therapeutic Approaches for the Management of Sleep Disorders in Geriatric Population

OBJECTIVE

Aging is a natural biological phenomenon that occurs in human beings. With increasing of age, there is an appearance of deleterious changes related to progression onto pathological conditions, including hypertension, heart disease, diabetes, hearing and vision impairments, as well as sleep disorders. It is important to recognize that some sleep disturbances reported by aged subjects include insomnia, obstructive sleep apnea, restless legs syndrome, among others. Moreover, accumulating evidence indicates that coexistence of medical issues with sleep disorders constitutes clinical challenges for treatment of comorbidities in elderly. Here, we have attempted to review and summarize the available literature that assesses the sleep disturbances in aging. In addition, we highlight the management of sleep disorders associated with aging. Due to the particular health condition of aged adults, the development of effective pharmacological interventions for sleep disorders treatment in aging is warranted.

METHODS

Review of studies retrieved from the PubMed.

RESULTS

The sleep-wake cycle includes abnormalities classified as sleep disorders. Comorbidity between sleep disturbances and aging-related health issues will represent a public health challenge to be addressed in the near future. Moreover, this scenario will suggest an area that requires further drug investigation and design of new pharmacological and pharmaceutical strategies to treat sleep disorders in the elderly population.

CONCLUSION

The review highlights the sleep disturbances in aging. We focus on current knowledge in medicinal chemistry and further design of new treatments tools for managing sleep disturbances in the aged population.

Menopausal Symptoms and Higher Risk Opioid Prescribing in a National Sample of Women Veterans with Chronic Pain

BACKGROUND

The greatest increases in long-term opioid use and opioid-related overdose mortality in recent years have been among women in midlife. Common menopausal symptoms broadly affect health and health care utilization in midlife, but their contribution to chronic pain management during this period is unknown.

OBJECTIVE

To examine relationships between menopausal symptoms and long-term opioid prescription patterns among midlife women with chronic pain.

DESIGN

Cross-sectional analysis of national Veterans Health Administration medical and pharmacy records (2014-2015).

PARTICIPANTS

Women Veterans aged 45-64 with ≥ 1 outpatient visit and chronic pain diagnoses spanning ≥ 90 days.

MAIN MEASURES

Long-term opioids (prescribed oral opioids for ≥ 90 days), high-dose long-term opioids (> 50 mg average morphine equivalent daily dose), and long-term opioids co-prescribed with central nervous system depressants (benzodiazepine and non-benzodiazepine sedative-hypnotics, gabapentin/pregabalin, muscle relaxants). Multivariable logistic regression models were used to examine associations between outcomes and menopausal symptoms (menopausal symptom-related diagnoses (i.e., "symptomatic menopausal states") on ≥ 2 encounters and/or menopausal hormone therapy, adjusting for race, age, body mass index, and mental health and substance use disorder diagnoses.

KEY RESULTS

In this national sample of 104,984 midlife women Veterans with chronic pain (mean age 54.5, SD 5.4 years), 17% had evidence of menopausal symptoms, 51% were prescribed long-term opioids, 13% were prescribed high-dose long-term opioids, and 35% were co-prescribed long-term opioids and central nervous system depressants. In multivariable analyses, women with menopausal symptoms had increased odds of long-term opioids (OR 1.21, 95% CI 1.18-1.26), high-dose long-term opioids (OR 1.08, 95% CI 1.02-1.13), and long-term opioids co-prescribed with central nervous system depressants (sedative-hypnotics OR 1.25, 95% CI 1.22-1.30; gabapentin/pregabalin OR 1.23, 95% CI 1.20-1.27; muscle relaxants OR 1.24, 95% CI 1.20-1.28).

CONCLUSIONS

Among midlife women Veterans with chronic pain, evidence of menopausal symptoms was associated with potentially risky long-term opioid prescription patterns, independent of known risk factors.

Development of pain in older adults: a latent class analysis of biopsychosocial risk factors

Pain significantly restricts the quality of life and well-being of older adults. With our increasingly ageing population, it is important to examine whether differing classes of biopsychosocial risk factors can predict the development of pain in older adults. Latent class analysis provides a model-based approach to identifying underlying subgroups in a population, based on some measured characteristics. In this study, latent class analysis was used to identify biopsychosocial risk classes in people aged 50 years and older, from The Irish Longitudinal Study on Ageing, who reported not often being troubled by pain at wave 1 and completed the 2-year follow-up at wave 2 (n = 4458). Four classes were identified based on 11 potential risk factors at wave 1. These classes were characterised as "Low Risk," "Physical Health Risk," "Mental Health Risk," and "High Risk." The Low-Risk class accounted for over half the sample (51.2%), whereas the High-Risk class represented 7.8% of the sample. At follow-up (wave 2), 797 (17.9%) participants reported being troubled by pain. Associations between the biopsychosocial risk classes and developing pain were examined using logistic regression, adjusting for sociodemographic variables. The High-Risk class was more likely to develop pain compared with the Low-Risk class (adjusted OR = 3.16, 95% CI = 2.40-4.16). These results add to existing data in other populations supporting the role of a range of biopsychosocial risk factors that increase the risk of developing pain. These findings have important implications for the identification, and potential moderation, of these risk factors.

Body composition and physical function in the Women's Health Initiative Observational Study

Physical function is critical for mobility and quality of life. We hypothesized that higher total lean mass is associated with higher physical function, and body fat inversely associated, among postmenopausal women. Women's Health Initiative Observational Study participants at Pittsburgh, PA; Birmingham, AL; and Tucson-Phoenix, AZ (1993–1998) completed dual-energy X-ray absorptiometry scans and the Rand SF-36 questionnaire at baseline and 3 y (N = 4526). Associations between quartiles (Q1–4) of lean or fat mass and physical function were tested using linear regression, adjusted for demographics, lifestyle factors, medical history, and scanner serial number. At baseline, participants had a mean ± SD age of 63.4 ± 7.4 y and BMI of 27.4 ± 5.8 kg/m². Higher percent lean mass was positively associated with physical function at baseline (Q4, 83.6 ± 0.6 versus Q1, 74.6 ± 0.7; p < 0.001), while fat mass (kg and %) was inversely associated (e.g., Q4, 73.7 ± 0.7 versus Q1, 84.2 ± 0.7 kg; p_trend < 0.001). Physical function had declined across the cohort at 3 y; the highest relative lean mass quartile at baseline conferred a lesser decline in physical function than the lowest (Q4, −3.3 ± 0.6 versus Q1–7.0 ± 0.6; p_trend < 0.001), while the highest fat mass quartile (% and kg) conferred greater decline (ex. Kg Q4, −6.7 ± 0.7 versus Q1–2.8 ± 0.6; p_trend < 0.001). Increased fat mass (≥5%), but not lean mass, was associated with lower physical function at 3 y (p < 0.001). Adiposity, as well as lean mass, requires consideration in the prediction of physical function among postmenopausal women over time.

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Lean mass (%) is positively associated with physical function in menopause.

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Body fat is negatively associated with physical function in menopause.

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Decline in physical function is more rapid with gains in fat during menopause.

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Body composition influence on functional decline is more evident among women <65 y.

Influence of Baseline Psychological Health on Muscle Pain During Atorvastatin Treatment

BACKGROUND

3-hydroxy-3-methylglutaryl coenzyme A reductase reductase inhibitors (statins) are generally well tolerated, with statin-associated muscle symptoms (SAMS) the most common side effect (~10%) seen in statin users. However, studies and clinical observations indicate that many of the self-reported SAMS appear to be nonspecific (ie, potentially not attributable to statins).

OBJECTIVE

Mental health and well-being influence self-perception of pain, so we sought to assess the effect of baseline well-being and depression on the development of muscle pain with 6 months of atorvastatin 80 mg/d (ATORVA) or placebo in healthy, statin-naive adults.

METHODS

The Psychological General Well-being Index (n = 83) and Beck Depression Inventory (n = 55) questionnaires were administered at baseline in participants (aged 59.5 ± 1.2 years) from the effect of Statins on Skeletal Muscle Function and Performance (STOMP) trial (NCT00609063). Muscle pain (Short-Form McGill Pain Questionnaire [SF-MPQ]), pain that interferes with daily life (Brief Pain Inventory [BPI]), and pain severity (BPI) were then measured before, throughout, and after treatment.

RESULTS

At baseline, there were no differences in well-being (Psychological General Well-being Index), depression (Beck Depression Inventory), or pain measures (SF-MPQ and BPI) (P values ≥ .05) between the placebo and ATORVA groups. Baseline well-being correlated negatively with baseline BPI pain severity (r = -0.290, P = .008). Baseline depression correlated with baseline pain (SF-MPQ; r = 0.314, P = .020). Baseline well-being and depression did not predict the change in pain severity or interference after 6 months among the total sample or between groups (P values ≥ .05).

CONCLUSION

Baseline well-being and depression were not significant predictors of pain after 6 months of ATORVA (P values ≥ .05). Thus, they do not appear to increase the risk of SAMS in otherwise healthy adults.

Sleep disorders in the elderly: a growing challenge

In contrast to newborns, who spend 16-20 h in sleep each day, adults need only about sleep daily. However, many elderly may struggle to obtain those 8 h in one block. In addition to changes in sleep duration, sleep patterns change as age progresses. Like the physical changes that occur during old age, an alteration in sleep pattern is also a part of the normal ageing process. As people age, they tend to have a harder time falling asleep and more trouble staying asleep. Older people spend more time in the lighter stages of sleep than in deep sleep. As the circadian mechanism in older people becomes less efficient, their sleep schedule is shifted forward. Even when they manage to obtain 7 or 8 h sleep, they wake up early, as they have gone to sleep quite early. The prevalence of sleep disorders is higher among older adults. Loud snoring, which is more common in the elderly, can be a symptom of obstructive sleep apnoea, which puts a person at risk for cardiovascular diseases, headaches, memory loss, and depression. Restless legs syndrome and periodic limb movement disorder that disrupt sleep are more prevalent in older persons. Other common medical problems of old age such as hypertension diabetes mellitus, renal failure, respiratory diseases such as asthma, immune disorders, gastroesophageal reflux disease, physical disability, dementia, pain, depression, and anxiety are all associated with sleep disturbances.

All Fatigue is Not Created Equal: The Association of Fatigue and Its Subtypes on Pain Interference in Orofacial Pain

OBJECTIVES

Fatigue is known to be a pathway through which depression, psychological distress, pain intensity, and sleep disturbance influence pain interference, but the independent effects of fatigue on pain interference after controlling for these variables remains unknown. In addition, no study to date has tested whether fatigue subtypes of general fatigue, mental fatigue, emotional fatigue, physical fatigue, or vigor differentially predict pain interference.

METHODS

The current study tested these associations using archival medical data of 2133 chronic orofacial pain patients, who completed a battery of psychological questionnaires at the time of their first appointment at an orofacial pain clinic.

RESULTS

Hierarchical linear regression analysis revealed that after controlling for depression, psychological distress, sleep disturbance, pain intensity, and demographic variables, fatigue predicted higher pain interference (B=0.70, SE=0.17, P<0.001, η=0.01). Physical fatigue (B=1.70, SE=0.48, P<0.001, η=0.01) and vigor (B=-3.24, SE=0.47, P<0.001, η=0.03) were independently associated with pain interference after controlling for the aforementioned variables.

DISCUSSION

The findings suggest that fatigue is an important independent predictor of pain interference and not merely a mediator. These findings also suggest that not all fatigue is created equal. Interventions aimed at reducing pain interference should target specific fatigue symptoms of physical fatigue and vigor. Future research investigating the independent associations of fatigue subtypes on pain outcomes may help clarify the nature of the interrelationships between pain and fatigue.