BackgroundSleep problems (insomnia) and chronic pain are associated. Chronic pain and insomnia/insufficient sleep quality share similar symptoms and features. Although they have a bidirectional relationship, more research is needed to understand how they interact via mediators and how moderators influence this relationship.AimsIn this large clinical registry-based cohort study (N = 6,497), we investigate important mediators between insomnia and pain intensity in a cross-sectional sample of chronic pain patients using advanced path analysis. In addition, we investigate whether some background variables were moderators of the identified important paths or not and the correlation patterns between insomnia and pain intensity in relation to the mediators.MethodsThis study includes a cohort of adult patients with chronic non-cancer pain from the Swedish Quality Registry for Pain Rehabilitation (SQRP) with data on patient-reported outcome measures (PROMs) (2008-2016). The PROMs cover the background, pain aspects, psychological distress, pain-related cognitions, activity/participation, and health-related quality of life variables of the patients. Partial least squares structural equation modeling was used to explore the direct and indirect (via mediators) relationships between insomnia and pain intensity at baseline.ResultsIn this cohort study, insomnia was prevalent at 62.3%, and both direct and indirect mediating paths were present for the insomnia-pain intensity relationship. All of the mediating effects combined were weaker than the direct effect between insomnia and pain intensity. The mediating effects via catastrophizing and acceptance showed the strongest and equal mediating paths, and mediating effects via fear avoidance were the second strongest. Insomnia showed stronger direct significant correlations with psychological distress, catastrophizing, and acceptance compared with those of pain intensity. Sex, age, education level, spatial extent of pain, or body mass index did not moderate the mediating paths.Discussion and conclusionThis study confirms the existence of significant direct and mediating paths between reported insomnia and pain intensity. Future studies should focus on illuminating how sleep interventions influence pain intensity and other important key factors that contribute to the distress of chronic pain patients.

Background Despite the existing evidence regarding the interrelated relationship between pain and obesity, knowledge about patients perspectives of this relationship is scarce, especially from patients with chronic pain and obesity after completing Interdisciplinary Pain Rehabilitation Program (IPRP). Aims This qualitative study expands the understanding of patients perspectives on how chronic pain and obesity influence each other and how the two conditions affect the ability to make lifestyle changes. Method A purposive sample of patients with Body Mass Index (BMI) >= 30 kg/m(2) and who had completed an IPRP were recruited for individual semi-structured interviews. The transcribed interviews were analysed using latent content analysis and a pattern of theme and categories was constructed based on the participants perspectives. Results Sixteen patients (aged 28-63 years, 11 female, BMI 30-43 kg/m(2)) shared their experiences of chronic pain, obesity and lifestyle changes after IPRP. The analysis revealed one overall theme (lifestyle changes are burdensome with a body broken by both pain and obesity) and four categories (pain disturbing days and nights worsens weight control, pain-related stress makes lifestyle changes harder, a painful and obese body intertwined with negative emotions and the overlooked impact of obesity on chronic pain). Most participants perceived that their pain negatively impacted their obesity, but they were uncertain whether their obesity negatively impacted their pain. Nevertheless, the participants desired and struggled to make lifestyle changes. Conclusion After IPRP, patients with chronic pain and obesity perceived difficulties with self-management and struggles with lifestyle changes. They experienced a combined burden of the two conditions. Their perspective on the unilateral relationship between pain and obesity differed from the existing evidence. Future tailored IPRPs should integrate nutritional interventions and address the knowledge gaps as well.

The biopsychosocial (BPS) model of chronic pain can be illustrated in many ways. Our aim is to adapt three illustrations of the BPS approach selected from the literature to target different groups: patients, health professionals and clinical trainees. In clinician-patient consultations, we use an illustration which shows the interactions among the BPS domains in the creation of suffering and pain behaviours in a "vicious spiral". Moreover, we help our patients understand chronic pain often does not entail remaining tissue damage. In clinical practice, we communicate to other health professionals that the relative contribution of each BPS domain varies from patient to patient. This disproportional contribution may also change dynamically over the time. In teaching clinical trainees, we combine thoroughness (i.e., focus on "details") with an understanding of the "dynamics" of pain chronification/chronic pain, i.e., focus on helping the trainee identify the mutual and joint interactions between different parts of the BPS framework. Conclusion: The three illustrations can be used as pedagogical tools for better-informed BPS perspectives in different settings. Practice implications: Clinicians need to be keen observers and adapt their communication depending on whom they are talking to.

Introduction: Obesity is a common comorbidity in fibromyalgia (FM). Both FM and obesity have been connected to low-grade inflammation, although it is possible that previously reported inflammatory alterations in FM primarily may be linked to increased body mass index (BMI). Objective: This study aimed to investigate whether the inflammatory plasma protein profile, muscle blood flow, and metabolism and pain characteristics (clinical parameters and patient-reported outcome measurements) differed between female patients with FM with and without obesity. Methods: Patients with FM underwent clinical examinations, physical tests, and answered questionnaires. They were dichotomized according to BMI (<30 kg/m(2) [n = 14]; >= 30 kg/m(2) [n = 13]). Blood samples were collected and analyzed using a panel of 71 inflammatory plasma proteins. Results: There were significant (P < 0.05) differences in blood pressure, pulse, max VO2, pain intensity, physical capacity, and Fibromyalgia Impact Questionnaire between the groups; the obese group had higher blood pressure, pulse, pain intensity, and Fibromyalgia Impact Questionnaire. There were 14 proteins that contributed to the group belonging. The 4 most important proteins for the group discrimination were MIP1 beta, MCP4, IL1RA, and IL6, which showed higher concentrations in obese patients with FM. Significantly decreased blood flow and increased concentration of pyruvate were detected in obese patients compared with nonobese patients. There was significant correlation between inflammatory proteins and sedentary behavior and health status in obese patients with FM. Conclusions: These findings suggest that metabolism and inflammation interact in female patients with FM with obesity and might cause chronic low-grade inflammation. Screening for obesity and monitoring of BMI changes should be considered in the treatment of patients with FM.

Background: There is considerable diversity of outcome selections and methodologies for handling the multiple outcomes across all systematic reviews (SRs) of Interdisciplinary Pain Treatment (IPT) due to the complexity. This diversity presents difficulties for healthcare decision makers. Better recommendations about how to select outcomes in SRs (with or without meta-analysis) are needed to explicitly demonstrate the effectiveness of IPT.Objective: This overview systematically collates the reported outcomes and measurements of IPT across published SRs and identifies the methodological characteristics. Additionally, we provide some suggestions on framing the selection of outcomes and on conducting SRs of IPT.Methods: Three electronic databases (PubMed, Cochrane Library, and Epistemonikos) and the PROSPERO registry for ongoing SR were supplemented with hand-searching ending on 30 September 2021. Results: We included 18 SRs with data on 49007 people from 356 primary randomised controlled trials (RCTs); eight were followed by meta-analysis and ten used narrative syntheses of data. For all the SRs, pain was the most common reported outcome (72%), followed by disability/functional status (61%) and working status (61%). Psychological well-being and quality of life were also reported in half of the included SR (50%). The core outcome domains according to VAPAIN, IMMPACT, and PROMIS were seldom met. The methodological quality varied from critically low to moderate according to AMSTAR2. The AMSTAR2 rating was negatively correlated to the number of outcome domains in PROMIS, and VAPAIN was positively correlated with IMMPACT and PROMIS, indicating the intercorrelations between the reported outcomes. Conclusion: This systematic overview showed wide-ranging disparity in reported outcomes and applied outcome domains in SRs evaluating IPT interventions for chronic pain conditions. The intercorrelations between the reported outcomes should be appropriately handled in future research. Some approaches are discussed as well.

In everyday clinical practice, healthcare professionals often meet chronic pain patients with a poor nutritional status. A poor nutritional status such as malnutrition, unhealthy dietary behaviors, and a suboptimal dietary intake can play a significant role in the occurrence, development, and prognosis of chronic pain. The relationship between nutrition and chronic pain is complex and may involve many underlying mechanisms such as oxidative stress, inflammation, and glucose metabolism. As such, pain management requires a comprehensive and interdisciplinary approach that includes nutrition. Nutrition is the top modifiable lifestyle factor for chronic non-communicable diseases including chronic pain. Optimizing ones dietary intake and behavior needs to be considered in pain management. Thus, this narrative review reports and summarizes the existing evidence regarding (1) the nutrition-related health of people experiencing pain (2) the underlying potential mechanisms that explain the interaction between nutrition and chronic pain, and (3) the role of nutrition screening, assessment and evaluation for people experiencing pain and the scope of nutrition practice in pain management. Future directions in the nutrition and chronic pain field are also discussed.

Although chronic pain is common in old age, previous studies on participation activities in old age seldom consider pain aspects and its related consequences. This study analyses associations between participation activities, pain severity, and psychological distress in an aging population of Swedish older adults (N = 6611). We examined older adults participation in five common leisure activities using the Multidimensional Pain Inventory (MPI), sociodemographic factors, pain severity, weight status, comorbidities, and pain-related psychological distress (anxiety, depression, insomnia severity, and pain catastrophising). We found that gender, body mass index (BMI) levels, and psychological distress factors significantly affected older adults participation in leisure activities. Pain severity and multimorbidity were not significantly associated with older adults participation in leisure activities nor with gender stratification in generalised linear regression models. The potentially modifiable factors, such as high levels of BMI and psychological distress, affected activity participation in men and women differently. Health professionals and social workers should consider gender and target potentially modifiable factors such as weight status and psychological distress to increase older adults participation in leisure activities.

Background: It is known that chronic pain makes it difficult to lose weight, but it is unknown whether obese patients (body mass index ≥30 kg/m²) who experience significant pain relief after interdisciplinary multimodal pain rehabilitation (IMMPR) lose weight.

Objective: This study investigated whether obese patients with chronic pain lost weight after completing IMMPR in specialist pain units. The association of pain relief and weight change over time was also examined.

Methods: Data from obese patients included in the Swedish Quality Registry for Pain Rehabilitation for specialized pain units were used (N=224), including baseline and 12-month follow-up after IMMPR from 2016 to 2018. Patients reported body weight and height, pain aspects (eg, pain intensity), physical activity behaviours, psychological distress, and health-related quality of life (HRQoL). A reduction of at least 5% of initial weight indicates clinically significant weight loss. Patients were classified into three groups based on the pain relief levels after IMMPR: pain relief of clinical significance (30% or more reduction of pain intensity); pain relief without clinical significance (less than 30% reduction of pain intensity); and no pain relief. Linear mixed regression models were used to examine the weight changes among the groups with different pain relief levels.

Results: A significant reduction of pain intensity was found after IMMPR (p < 0.01, effect size Cohen's d = 0.34). A similar proportion of patients in the three groups with different pain relief levels had clinically significant weight loss (20.2%~24.3%, p = 0.47). Significant improvements were reported regarding physical activity behaviour, psychological distress, and HRQoL, but weight change was not associated with changes of pain intensity.

Conclusion: About one-fifth of obese patients achieved significant weight reduction after IMMPR. Obese patients need a tailored pain rehabilitation program incorporating a targeted approach for weight management.

This study deals with how pain characteristics in conjunction with other factors affect quality of life (QoL) in a vulnerable primary care population. We recruited vulnerable older people (75+, n = 825) living in south-eastern Sweden. A postal questionnaire included pain aspects, QoL (EQ-5D-3L, RAND-36 physical functioning, attitudes toward own aging, and life satisfaction), functional status, social networks, and basic demographic information. Pain extent and localization was obtained by digitalization of pain drawings reported on standard body charts. Most respondents were experiencing pain longer than 3 months (88.8%). Pain frequency varied mostly between occasionally (33.8%) and every day (34.8%). A minority reported high pain intensity (13.6%). The lower back and lower legs were the most frequently reported pain locations (&gt;25%). Multiple linear regression model revealed three characteristics of pain (intensity, frequency, and extent) remained inversely associated with the EQ-5D-3L index score (R-2 = 0.57). Individually, each of these pain characteristics showed a negative impact on the other three dimensions of QoL (R-2 = 0.23-0.59). Different features of pain had impact on different dimensions of QoL in this aging population. A global pain assessment is useful to facilitate individual treatment and rehabilitation strategies in primary care.

Background The healthcare for older adults is insufficient in many countries, not designed to meet their needs and is often described as disorganized and reactive. Prediction of older persons at risk of admission to hospital may be one important way for the future healthcare system to act proactively when meeting increasing needs for care. Therefore, we wanted to develop and test a clinically useful model for predicting hospital admissions of older persons based on routine healthcare data. Methods We used the healthcare data on 40,728 persons, 75-109 years of age to predict hospital in-ward care in a prospective cohort. Multivariable logistic regression was used to identify significant factors predictive of unplanned hospital admission. Model fitting was accomplished using forward selection. The accuracy of the prediction model was expressed as area under the receiver operating characteristic (ROC) curve, AUC. Results The prediction model consisting of 38 variables exhibited a good discriminative accuracy for unplanned hospital admissions over the following 12 months (AUC 0.69 [95% confidence interval, CI 0.68-0.70]) and was validated on external datasets. Clinically relevant proportions of predicted cases of 40 or 45% resulted in sensitivities of 62 and 66%, respectively. The corresponding positive predicted values (PPV) was 31 and 29%, respectively. Conclusion A prediction model based on routine administrative healthcare data from older persons can be used to find patients at risk of admission to hospital. Identifying the risk population can enable proactive intervention for older patients with as-yet unknown needs for healthcare.

Background The obesity epidemic has influenced pain rehabilitation clinics. To date, little is known about baseline level of physical activity (PA) in patients referred to pain rehabilitation clinics. We aimed to investigate the PA levels of patients referred to pain rehabilitation clinics and to evaluate the effect of excess weight on PA level. Methods and findings Data were obtained from the Swedish Quality Registry for Pain Rehabilitation between 2016 and 2017. These data included PA time (everyday PA and physical exercise per week), Body Mass Index (BMI), sociodemographic factors, chronic pain and psychological aspects (e.g., pain intensity, depressive and anxiety symptoms and insomnia problems). Insufficient PA was defined as less than 150 minutes per week. We performed logistic regressions as well as orthogonal partial least square regression to estimate the effects of excess weight on PA. Over one-fourth of the patients were classified as obese (BMI &gt;= 30 kg/m(2), 871/3110, 25.3%) and nearly one-third of these patients were classified as severely obese (BMI &gt;= 35 kg/m(2), 242/871, 27.8%). Time estimations for physical exercise varied among the BMI groups, but patients in the higher BMI category were more likely to spend less time on everyday PA. Compared to normal weight, mild obesity [odds ratio (OR) 0.65, 95% confidence interval (CI) 0.53-0.81] and severe obesity (OR 0.56, 95% CI 0.42-0.74) were associated with less PA. Mild obese patients had an elevated risk of 65% and severe obese patients had an elevated risk of 96% for insufficient PA. Increased pain intensity was positively related to insufficient PA (OR 1.17, 95% CI 1.06-1.29) among the obese patients. Conclusion Having low PA is very common for patients referred to pain rehabilitation clinics, especially for those with comorbid obesity. As a first step to increase PA, obese patients need to be encouraged to increase the intensity and amount of less painful daily PA.

Background: Chronic pain in later life is a worldwide problem. In younger patients, chronic pain affects life satisfaction negatively; however, it is unknown whether this outcome will extend into old age.

Objective: This study examines which factors determine life satisfaction in older adults who suffer from chronic pain with respect to socio-demographics, lifestyle behaviors, pain, and comorbidities.

Methods: This cross-sectional study recruited a random sample of people ≥ 65 years old living in south-eastern Sweden (N= 6611). A postal survey addressed pain aspects and health experiences. Three domains from the Life Satisfaction Questionnaire (LiSat-11) were used to capture the individual’s estimations of overall satisfaction (LiSat-life), somatic health (LiSat-somhealth), and psychological health (LiSat-psychhealth).

Results: Respondents with chronic pain (2790, 76.2± 7.4 years old) rated lower on life satisfaction than those without chronic pain, with medium effect size (ES) on LiSat-somhealth (r = 0.38, P < 0.001) and small ES on the other two domains (r < 0.3). Among the respondents with chronic pain, severe pain (OR 0.29– 0.59) and pain spreading (OR 0.87– 0.95) were inversely associated with all three domains of the LiSat-11. Current smoking, alcohol overconsumption, and obesity negatively affected one or more domains of the LiSat-11. Most comorbidities were negatively related to LiSat-somhealth, and some comorbidities affected the other two domains. For example, having tumour or cancer negatively affected both LiSat-life (OR 0.62, 95% CI 0.44– 0.88) and LiSat-somhealth (OR 0.42, 95% CI 0.24– 0.74). Anxiety or depression disorders had a negative relationship both for LiSat-life (OR 0.54, 95% CI 0.38– 0.78) and LiSat-psychhealth (OR 0.10, 95% CI 0.06– 0.14).Conclusion: Older adults with chronic pain reported lower life satisfaction but the difference from their peers without chronic pain was trivial, except for satisfaction with somatic health. Pain management in old age needs to consider comorbidities and severe pain to improve patients’ life satisfaction.

Cognitive models of pain propose that catastrophic thinking is negatively associated with chronic pain. However, pain catastrophizing is a complex phenomenon requiring a multivariate examination. This study estimates the effects of mood variables (anxiety and depression) on pain catastrophizing in older adults with chronic pain. A postal survey addressing pain aspects was sent to 6611 people &gt;= 65 years old living in south-eastern Sweden. Pain catastrophizing was measured using the pain catastrophizing scale. Anxiety and depression were assessed using two subscales of the general well-being schedule. Data were analysed using a path analysis approach. A total of 2790 respondents (76.2 +/- 7.4 years old) reported chronic pain (&gt;= three months). The mediation model accounted for 16.3% of anxiety, 17.1% of depression, and 30.9% of pain catastrophizing variances. Pain intensity, insomnia, number of comorbidities, and lifestyle factors (smoking, alcohol consumption, and weight) significantly affected both pain catastrophizing and mood. Anxiety (standardized path coefficient (b(std)) = 0.324,p&lt; 0.001) in comparison to depression (b(std)= 0.125,p&lt; 0.001) had a greater effect on pain catastrophizing. Mood mediated the relationship between pain catastrophizing and pain-related factors accounting for lifestyle and sociodemographic factors.

Background: Interdisciplinary pain treatment (IPT) is a complex intervention; its outcomes are very diverse, as are the methodologies for handling those outcomes. This diversity may hamper evidence-based decision making. Presently, there is no gold standard recommendation of how to select reported outcomes in published systematic reviews and meta-analyses to explicitly demonstrate the effectiveness of IPT. Objective: In this systematic overview, we aim to evaluate the reported outcome domains and measurements across published systematic reviews and meta-analyses and to identify any methods, considerations, and discussion regarding the handling of the chosen outcome domains and measurements. Methods: This article describes the protocol for a systematic overview of the outcomes reported in published systematic reviews and meta-analyses of randomized control trials for the effectiveness of IPT versus any control. To this end, we searched the PubMed, Cochrane Library, and Epistemonikos databases from inception to December 2019. Two independent investigators screened the titles, the abstracts of the identified records, and the full texts of the potentially eligible systematic reviews and meta-analyses, performed data extraction according to predefined forms, and rated the quality of the included systematic reviews and meta-analyses. The quality of the included systematic reviews and meta-analyses will be rated with AMSTAR (A MeaSurement Tool to Assess systematic Reviews) 2. Data will be analyzed descriptively and stratified by AMSTAR 2. Results: We introduced the rationale and design of a systematic overview to summarize and map the chosen IPT outcome domains and the methods of handling these outcomes reported in published systematic reviews and meta-analyses. As of December 2019, we collected 5229 systematic reviews, of which 147 (2.81%) were examined in-depth for eligibility. Topline results are anticipated by September 2020. Conclusions: The results of this study will be published as soon as they are available. Our results will fill a gap in the related literature and will be used to inform the development of a set of recommendations that can be applied in systematic reviews and hopefully serve as a gold standard. © 2020 JMIR Publications. All rights reserved.

Background Throughout the world many people have both obesity and chronic pain, comorbidities that decrease Health-Related Quality of Life (HRQoL). It is uncertain whether patients with comorbid obesity can maintain improved HRQoL after Interdisciplinary Multimodal Pain Rehabilitation (IMMPR). Methods Data from 2016, 2017, and 2018 were obtained from a national pain database for Swedish specialized pain clinics and collected at three time points: Pre-IMMPR; Post- IMMPR; and 12-month follow-up (FU-IMMPR). Participants (N = 872) reported body weight, height, pain aspects, and HRQoL (RAND 36-Item Health Survey). Severe obesity (Body Mass Index, BMI amp;gt;= 35 kg/m(2)) was defined according to WHO classifications. We used linear mixed regression models to examine BMI group differences in HRQoL over time. Results More than 25% of patients (224/872) were obese and nearly 30% (63/224) of these were severely obese. All BMI groups improved significantly in both physical and mental composites of HRQoL after IMMPR (Pre- vs. Post-IMMPR, p amp;lt; .001). The improvements were maintained at a 12-month follow-up (Post- vs. FU-IMMPR, p amp;gt; .05). The severe obesity group had the lowest physical health score and least improvement (pre- vs. FU-IMMPR, Cohens d = o.422, small effect size). Severe obesity had negative impact on physical health (beta = -4.39, p amp;lt; .05) after controlling for sociodemographic factors and pain aspects. Conclusion Improvements in HRQoL after IMMPR were achieved and maintained across all weights, including patients with comorbid obesity. Only severe obesity was negatively associated with physical health aspects of HRQoL. Significance Patients with chronic pain and comorbid obesity achieve sustained Health-Related Quality of Life (HRQoL) improvements from Interdisciplinary Multimodal Pain Rehabilitation (IMMPR). This finding suggests that rehabilitation professionals should consider using IMMPR for patients with comorbid obesity even though their improvement may not reach the same level as for non-obese patients.

Introduction The provision of healthcare services is not dedicated to promoting maintenance of function and does not target frail older persons at high risk of the main causes of morbidity and mortality. The aim of this study is to evaluate the effects of a proactive medical and social intervention in comparison with conventional care on a group of persons aged 75 and older selected by statistical prediction.

Methods and analysis In a pragmatic multicentre primary care setting (n=1600), a prediction model to find elderly (75+) persons at high risk of complex medical care or hospitalisation is used, followed by proactive medical and social care, in comparison with usual care. The study started in April 2017 with a run-in period until December 2017, followed by a 2-year continued intervention phase that will continue until the end of December 2019. The intervention includes several tools (multiprofessional team for rehabilitation, social support, medical care home visits and telephone support). Primary outcome measures are healthcare cost, number of hospital care episodes, hospital care days and mortality. Secondary outcome measures are number of outpatient visits, cost of social care and informal care, number of prescribed drugs, health-related quality of life, cost-effectiveness, sense of security, functional status and ability. We also study the care of elderly persons in a broader sense, by covering the perspectives of the patients, the professional staff and the management, and on a political level, by using semistructured interviews, qualitative methods and a questionnaire.

Ethics and dissemination Approved by the regional ethical review board in Linköping (Dnr 2016/347-31). The results will be presented in scientific journals and scientific meetings during 2019–2022 and are planned to be used for the development of future care models.

Background and aims: Although literature concerning chronic pain patients indicates that cognitive behavioural variables, specifically acceptance and fear of movement/(re)injury, are related to life impact, the relative roles of these factors in relation to pain characteristics (e.g. intensity and spreading) and emotional distress are unclear. Moreover, how these variables affect rehabilitation outcomes in different subgroups is insufficiently understood. This study has two aims: (1) to investigate how pain, cognitive behavioural, and emotional distress variables intercorrelate and whether these variables can regress aspects of life impact and (2) to analyse whether these variables can be used to identify clinically meaningful subgroups at baseline and which subgroups benefit most from multimodal rehabilitation programs (MMRP) immediately after and at 12-month follow-up. Methods: Pain aspects, background variables, psychological distress, cognitive behavioural variables, and two life impact variables were obtained from the Swedish Quality Registry for Pain Rehabilitation (SQRP) for chronic pain patients. These data were analysed mainly using advanced multivariate methods. Results: The study includes 22,406 chronic pain patients. Many variables, including acceptance variables, showed important contributions to the variation in clinical presentations and in life impacts. Based on the statistically important variables considering the clinical presentation, three clusters/subgroups of patients were identified at baseline; from the worst clinical situation to the relatively good situation. These clusters showed significant differences in outcomes after participating in MMRP; the subgroup with the worst situation at baseline showed the most significant improvements. Conclusions: Pain intensity/severity, emotional distress, acceptance, and life impacts were important for the clinical presentation and were used to identify three clusters with marked differences at baseline (i.e. before MMRP). Life impacts showed complex relationships with acceptance, pain intensity/severity, and emotional distress. The most significant improvements after MMRP were seen in the subgroup with the lowest level of functioning before treatment, indicating that patients with complex problems should be offered MMRP.

Background: Chronic pain patients frequently suffer from psychological symptoms. There is no consensus concerning the prevalence of severe anxiety and depressive symptoms and the strength of the associations between pain intensity and psychological distress. Although an important aspect of the clinical picture is understanding how the pain condition impacts life, little is known about the relative importance of pain and psychological symptoms for individuals life impact. The aims of this study were to identify subgroups of pain patients; to analyze if pain, psychological distress, and life impact variables influence subgrouping; and to investigate how patients in the subgroups benefit from treatments. Methods: Background variables, pain aspects (intensity/severity and spreading), psychological distress (depressive and anxiety symptoms), and two life impact variables (pain interference and perceived life control) were obtained from the Swedish Quality Registry for Pain Rehabilitation for chronic pain patients and analyzed mainly using advanced multivariate methods. Results: Based on amp;gt;35,000 patients, 35%-40% had severe anxiety or depressive symptoms. Severe psychological distress was associated with being born outside Europe (21%-24% vs 6%-8% in the category without psychological distress) and low education level (20.7%-20.8% vs 26%-27% in the category without psychological distress). Dose relationships existed between the two psychological distress variables and pain aspects, but the explained variances were generally low. Pain intensity/severity and the two psychological distress variables were significantly associated (R-2 =0.40-0.48; Pamp;gt;0.001) with the two life impact variables (pain interference and life control). Two subgroups of patients were identified at baseline (subgroup 1: n=15,901 16,119; subgroup 2: n=20,690-20,981) and the subgroup with the worst situation regarding all variables participated less in an MMRP (51% vs 58%, Pamp;lt;0.001) but showed the largest improvements in outcomes. Conclusion: The results emphasize the need to assess both pain and psychological distress and not take for granted that pain involves high psychological stress in the individual case. Not all patients benefit from MMRP. A better matching between common clinical pictures and the content of MMRPs may help improve results. We only partly found support for treatment resistance in patients with psychological distress burden.

BackgroundObesity and chronic pain are common comorbidities and adversely influence each other. Advanced age is associated with more comorbidities and multi-morbidities. In this study, we investigated the burden of overweight/obesity and its comorbidities and their associations with chronic pain in a random population sample of Swedish older adults.MethodsThe cross-sectional analysis involved a random sample of a population65years in south-eastern Sweden (N=6243). Data were collected from a postal questionnaire that addressed pain aspects, body mass index (BMI), and health experiences. Chronic pain was defined as pain during the previous three months. According to the 0-10 Numeric Rating Scale, pain scored 7 corresponds to severe pain. Binary logistic regression was used to determine the variables associated to pain aspects.ResultsA total of 2633 (42%) reported chronic pain. More obese older adults (BMI 30kg/m(2)) experienced chronic pain (58%) than those who were low-normal weight (BMI amp;lt;25kg/m(2), 39%) or overweight (25BMI amp;lt;30kg/m(2), 41%). Obese elderly more frequently had pain in extremities and lower back than their peers. In the multivariate model, obesity (Odds Ratio (OR) 1.59, 95% Confidence Interval (CI) 1.33-1.91) but not overweight (OR 1.08, 95% CI 0.95-1.22) was associated with chronic pain. Obesity (OR 1.53, 95% CI 1.16-2.01) was also significantly related to severe pain. We also found other comorbidities - i.e., traumatic history (OR 2.52, 95% CI 1.99-3.19), rheumatic diseases (OR 5.21, 95% CI 4.54-5.97), age85years (OR 1.66, 95% CI 1.22-2.25), and depression or anxiety diagnosis (OR 1.83, 95% CI 1.32-2.53) - showed stronger associations with pain aspects than weight status. Conclusion: In older adults, excess weight (BMI 30 or above) is a potentially modifiable factor but not the only risk factor that is associated with chronic pain and severe pain. Future studies should investigate the effectiveness of interventions that treat comorbid pain and obesity in older adults.

Background and aims Health-related quality of life (Hr-QoL) reflects the burden of a condition on an overarching level. Pain intensity, disability and other factors influence how patients with chronic pain perceive their condition, e.g. Hr-QoL. However, the relative importance of these factors is unclear and there is an ongoing debate as to what importance pain measures have in this group. We investigated the importance of current pain level and mood on aspects of Hr-QoL in patients with chronic pain and investigated whether such relationships are influenced by demographics. Methods Data was obtained from the Swedish Quality Registry for Pain Rehabilitation (SQRP), between 2008 and 2016 on patients ≥18 years old who suffered from chronic pain and were referred to participating specialist clinics. Dependent variables were general Hr-QoL [using two scales from European Quality of Life instrument: EQ5D Index and the European Quality of Life instrument health scale (EQ thermometer)] and specific Hr-QoL [from the Short Form Health Survey (SF36) the physical component summary (SF36-PCS) and the mental (psychological) component summary (SF36-MCS)]. Independent variables were sociodemographic variables, pain variables, psychological distress and pain attitudes. Principal component analysis (PCA) was used for multivariate correlation analyses of all investigated variables and Orthogonal Partial Least Square Regression (OPLS) for multivariate regressions on health aspects. Results There was 40,518 patients (72% women). Pain intensity and interference showed the strongest multivariate correlations with EQ5D Index, EQ thermometer and SF36-PCS. Psychological distress variables displayed the strongest multivariate correlations with SF36-MCS. Demographic properties did not significantly influence variations in the investigated Hr-QoL variables. Conclusions Pain, mood and pain attitudes were significantly correlated with Hr-QoL variables, but these variables cannot explain most of variations in Hr-QoL variables. The results pinpoint that broad assessments (including pain intensity aspects) are needed to capture the clinical presentation of patients with complex chronic pain conditions.

Objectives: To investigate how anthropometric and body composition variables, and handgrip strength (HS) affect physical function and independent daily living in 88-year-old Swedish women.

Participants: A cross-sectional analysis of 83 community-dwelling women, who were 88 years old with normal weight (n=30), overweight (n=29), and obesity (n=24) in Linköping, Sweden, was performed.

Measures: Assessments of body weight (Wt), height, waist circumference (WC), and arm circumference were performed by using an electronic scale and measuring tape. Tricep skinfold thickness was measured by a skinfold calliper. Fat mass (FM) and fat-free mass (FFM) were measured by bioelectrical impedance analysis, and HS was recorded with an electronic grip force instrument. Linear regression was used to determine the contributions of parameters as a single predictor or as a ratio with HS to physical function (Short Form-36, SF-36PF) and instrumental activities of daily living (IADL).

Results: Obese women had greater absolute FM and FFM, and lower HS corrected for FFM and HS-based ratios (i.e., HS/Wt, HS/body mass index [BMI]) than their normal weight and overweight counterparts. After adjusting for physical activity levels and the number of chronic diseases, HS-based ratios explained more variance in SF-36PF scoring (R²: 0.52–0.54) than single anthropometric and body composition variables (R²: 0.45–0.51). WC, HS, and HS-based ratios (HS/Wt and HS/FFM) were also associated with the number of IADL with no difficulty.

Conclusion: Obese very old women have a high WC, but their HS is relatively low in relation to their Wt and FFM. These parameters are better than BMI for predicting physical function and independent daily living.

Background: Selection bias is often inevitable in epidemiologic studies. It is not surprising that study conclusions based on participants’ health status are frequently questioned. Objective: This study aimed to assess whether the non-participants affected the characteristics of a general population of the very old people. Design, Setting and Participants: Prospective, cross-sectional (N=650, aged 85 years old) analysis and 1-year follow-up (n=273), in Linköping, Sweden. Measurements: We analysed data on health-related factors from a postal questionnaire, a home visit and a clinic visit at baseline and at the 1-year follow-up. We calculated the effect size to evaluate the degree of differences between the groups. Results: A greater proportion of non-participants resided in sheltered accommodation or nursing homes (participants vs non-response vs refusal, 11% vs 22% vs 40, P<0.001, φ=0.24). During the home visit or clinic visit, a higher proportion of dropouts reported mid-severe problems in EQ-5D domains (mobility and self-care) and limitations in personal activities of daily living, but the differences between participants and dropouts were very small (φ<0.2). No significant difference was found between the groups with regard to emergency room visits or hospital admissions, despite the fact that more participants than dropouts (φ=0.23) had multimorbidities (≥2 chronic diseases). Living in sheltered accommodation or a nursing home (odds ratio (OR), 2.8; 95% confidence interval (CI), 1.5-5), female gender (OR, 1.8; 95% CI, 1.1-3.1) and receiving more home visits in primary care (OR, 1.03; 95% CI, 1-1.06) contributed positively to drop out in the data collection stages over the study period. Conclusion: Non-participants were not considered to be a group with worse health. Mobility problems may influence very old people when considering further participation, which threatens attrition.

The overall aim of this thesis was to provide better understanding of the underlying factors related to health maintenance in very old people, with a focus on medical conditions, functional outcome and nutritional status. Data were gathered from the ELSA 85 project (Elderly in Linköping Screening Assessment). The ELSA 85 project was started in 2007 with a population-based survey of 85-year-old individuals (n = 650) residing in Linköping municipality, Sweden. During the study period from 2007 to 2010, we conducted surveys by postal questionnaire, home visits, geriatric clinic visits, and reviews of electronic medical records as well as the database of health service consumption. A series of cross-sectional analyses were performed on multimorbidity, health service consumption, activities of daily living (ADLs), physical functioning and nutritional status.

Of 650 eligible individuals, 496 (78% of those alive) completed the questionnaire (Paper I). Despite the prevalence of multimorbidity (68%) and frequent use of assistive technology for mobility (40%), the majority managed self-care (85%), usual activities (74%) and had high self-rated health (>60/100, visual analogue scale). Factors associated with in-patient care were an increased number of general practitioner visits, more use of assistive technology, community assistance, multimorbidity (≥2 chronic diseases) and/or heart failure and arrhythmia.

Cluster analyses (n = 496, Paper II) revealed five clusters: vascular, cardiopulmonary, cardiac (only for men), somatic–mental (only for men), mental disease (only for women), and three other clusters related to ageing (one for men and two for women). Heart failure in men (odds ratio [OR], 2.4; 95% confidence interval [CI], 1–5.7) and women (OR, 3; 95% CI, 1.3–6.9) as a single morbidity explained more variance than morbidity clusters in models of emergency room visits. Men’s cardiac cluster (OR, 1.6; 95% CI, 1–2.7) and women’s cardiopulmonary cluster (OR, 1.7; 95% CI, 1.2–2.4) were significantly associated with hospitalization. The combination of the cardiopulmonary cluster with the men’s cardiac cluster (OR, 1.6; 95% CI, 1–2.4) and one of the women’s ageing clusters (OR, 0.5; 95% CI, 0.3–0.8) showed interaction effects on hospitalization.

In Paper III, overweight (body mass index [BMI], 25–29.9 kg/m²) and obese (BMI, ≥30 kg/m²) individuals (n = 333) perceived more difficulty performing instrumental ADL (IADL) and had more comorbidities than their normal weight counterparts (BMI, 18.5–24.9 kg/m²). After controlling for socio-demographic factors, obese but not overweight individuals were more likely to perceive increased difficulty in performing outdoor activities (OR, 2.1; 95% CI, 1.1–4) and cleaning (OR, 2.2; 95% CI, 1.2–4.2) than their normal weight counterparts. Although obesity was also associated with multimorbidity (OR, 3; 95% CI, 1.2–8), the health service cost of each case of multimorbidity (n = 251) was highest in individuals of normal weight and nearly three times as much as in obese individuals (ratio, 2.9; 95% CI, 1.1–8.1).

In Paper IV, 88-year-old obese women (n = 83) had greater absolute waist circumference, fat mass (FM) and fat-free mass (FFM), and lower handgrip strength (HS) corrected for FFM and HS-based ratios (HS/weight (Wt), HS/BMI, HS/FFM and HS/FM) than their normal weight and overweight counterparts. After adjusting for physical activity levels and the number of chronic diseases, the HS-based ratios explained more variance in physical functioning in Short Form-36 (R², 0.52–0.54) than other single anthropometric or body composition parameters (R², 0.45–0.51). Waist circumference, HS, and two HS-based ratios (HS/Wt and HS/FFM) were also associated with the number of IADL with no difficulty.

In conclusion, the ELSA 85 population showed a fairly positive image of healthy perception, good functional ability as well as low use of health care among the majority of participants. Patterns of cardiac and pulmonary conditions were better associated than any single morbidity with hospitalization. Heart failure as a single morbidity was better associated than multimorbidity patterns with emergency room visits. For 85-year-olds, being obese, as opposed to overweight, was associated with self-reported activity limitations and comorbidities. Overweight elderly living in their own homes in this population had similar well-being to those of normal weight. In the cohort of 88-year-olds, obese women had high waist circumference, but their HS was relatively low in relation to their Wt and FFM. These parameters were better than BMI for predicting physical function and independent daily living.

Background

As life expectancy continues to rise, more elderly are reaching advanced ages (≥80 years). The increasing prevalence of multimorbidity places additional demands on health-care resources for the elderly. Previous studies noted the impact of multimorbidity on the use of health services, but the effects of multimorbidity patterns on health-service use have not been well studied, especially for very old people. This study determines patterns of multimorbidity associated with emergency-room visits and hospitalization in an 85-year-old population.

Methods

Health and living conditions were reported via postal questionnaire by 496 Linköping residents aged 85 years (189 men and 307 women). Diagnoses of morbidity were reviewed in patients’ case reports, and the local health-care register provided information on the use of health services. Hierarchical cluster analysis was applied to evaluate patterns of multimorbidity with gender stratification. Factors associated with emergency-room visits and hospitalization were analyzed using logistic regression models.

Results

Cluster analyses revealed five clusters: vascular, cardiopulmonary, cardiac (only for men), somatic–mental (only for men), mental disease (only for women), and three other clusters related to aging (one for men and two for women). Heart failure in men (OR = 2.4, 95% CI = 1–5.7) and women (OR = 3, 95% CI = 1.3–6.9) as a single morbidity explained more variance than morbidity clusters in models of emergency-room visits. Men's cardiac cluster (OR = 1.6; 95% CI = 1–2.7) and women's cardiopulmonary cluster (OR = 1.7, 95% CI = 1.2–2.4) were significantly associated with hospitalization. The combination of the cardiopulmonary cluster with the men’s cardiac cluster (OR = 1.6, 95% CI = 1–2.4) and one of the women’s aging clusters (OR = 0.5, 95% CI = 0.3–0.8) showed interaction effects on hospitalization.

Conclusion

In this 85-year-old population, patterns of cardiac and pulmonary conditions were better than a single morbidity in explaining hospitalization. Heart failure was superior to multimorbidity patterns in explaining emergency-room visits. A holistic approach to examining the patterns of multimorbidity and their relationships with the use of health services will contribute to both local health care policy and geriatric practice.

OBJECTIVES: To determine whether being overweight or obese is associated with significant health outcomes in an 85-year-old population. less thanbrgreater than less thanbrgreater thanDESIGN: A cross-sectional population-based study. less thanbrgreater than less thanbrgreater thanSETTING: Linkoping, Sweden. less thanbrgreater than less thanbrgreater thanPARTICIPANTS: Three hundred thirty-eight people born in 1922 were identified using the local authoritys register. less thanbrgreater than less thanbrgreater thanMEASUREMENTS: Data related to sociodemographic characteristics, health-related quality of life (HRQoL), assistance use, and the presence of diseases were collected using a postal questionnaire. Anthropometry and functional status were assessed during home and geriatric clinic visits. Diseases were double-checked in the electronic medical records, and information about health service consumption was obtained from the local healthcare register. less thanbrgreater than less thanbrgreater thanRESULTS: Overweight (body mass index (BMI) 25.0-29.9 kg/m(2)) and obese (BMI andgt;= 30.0 kg/m(2)) participants perceived more difficulty performing instrumental activities of daily living (IADLs) and had more comorbidity than their normal-weight counterparts (BMI 18.5-24.9 kg/m(2)), but their overall HRQoL and health service costs did not differ from those of normal-weight participants. After controlling for sociodemographic factors, being overweight did not influence IADLs or any comorbidity, but obese participants were more likely to perceive greater difficulty in performing outdoor activities (odds ratio (OR) = 2.1, 95% confidence interval (CI) = 1.1-4) and cleaning (OR = 2.2, 95% CI = 1.2-4.2) than their normal-weight counterparts. Although obesity was also associated with multimorbidity (OR = 3, 95% CI = 1.2-8), the health service cost of each case of multimorbidity (n = 251) was highest in normalweight participants and nearly three times as much as in obese participants (ratio: 2.9, 95% CI = 1.1-8.1). less thanbrgreater than less thanbrgreater thanCONCLUSION: For 85-year-olds, being obese, as opposed to overweight, is associated with self-reported activity limitations and comorbidities. Overweight older adults living in their own homes in this population had well-being similar to that of those with normal weight.

The aim of this population-based study was to (1) describe living conditions and actual health care utilization among 85 year olds; (2) determine factors that affect hospital admissions in this age. The study was conducted on 85-year-old residents in Linkoping municipality, Sweden. The data collected included medical records, health care utilization during the preceding 12 months and a postal questionnaire on assistance, assistive technology, functional impairment, feelings of loneliness, worries and health-related quality of life measured by the EQ-5D. Out of 650 eligible individuals, 496 (78% of those alive) participated. Despite the prevalence of multi-morbidity (68%) and mental discomfort, the majority managed self-care (85%), usual activities (74%) and had high (andgt;60/100) self-rated health evaluated by a visual analog scale (VAS). The non-hospitalized group reported a better health status than the hospitalized group in terms of medical aspects, living conditions and subjective estimation. Factors associated with in-patient care were an increased number of general practitioner visits, more assistive technology, community assistance, multimorbidity and/or diagnosed congestive heart failure and arrhythmia.