Chronic Pain and Friendship among Middle-Aged and Older U.S. Adults

Differences in chronic pain prevalence between men and women at mid-life: a systematic review protocol

INTRODUCTION

Epidemiological literature shows differences in chronic pain (CP) prevalence in men and women. Women are more likely to develop CP at different points of the life course, such as adolescence and old age. Less is known about the prevalence of CP by sex and the difference in prevalence during mid-life, when changes may predispose to an earlier differentiation in CP distribution. The aim of this study is to describe the difference in prevalence of CP at mid-life (ages 40-60) in men and women in the general population.

METHODS AND ANALYSIS

This systematic review follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Appropriate studies will be identified in the following databases: MEDLINE, EMBASE, AMED and PsycINFO. Two reviewers will independently screen each title and abstract. Studies eligible for data extraction will report estimates of CP prevalence for each sex, and/or a measure of the difference in prevalence between sexes. The findings will be reported in a narrative synthesis following the Social Research Council Methods Programme guidelines. A random effects meta-analysis will be conducted where the reviewers can justify combining results.

ETHICS AND DISSEMINATION

This review will summarise the prevalence of CP in men and women at mid-life, based on existing evidence. It is expected that the results will identify gaps in knowledge and areas for further research. The review will be submitted for publication in topic specific journals and disseminated to professional networks. Individual patient data are not included, so ethical approval is not required.

PROSPERO REGISTRATION NUMBER

CRD42021295895.

Beyond Black vs White: racial/ethnic disparities in chronic pain including Hispanic, Asian, Native American, and multiracial US adults

ABSTRACT

Previous literature on race/ethnicity and pain has rarely included all major US racial groups or examined the sensitivity of findings to different pain operationalizations. Using data from the 2010 to 2018 National Health Interview Surveys on adults 18 years or older (N = 273,972), we calculated the weighted prevalence of 6 definitions of pain to provide a detailed description of chronic pain in White, Black, Hispanic, Asian, Native American, and multiracial groups. We also estimated modified Poisson models to obtain relative disparities, net of demographic and socioeconomic (SES) factors including educational attainment, family income, and home ownership; finally, we calculated average predicted probabilities to show prevalence disparities in absolute terms. We found that Asian Americans showed the lowest pain prevalence across all pain definitions and model specifications. By contrast, Native American and multiracial adults had the highest pain prevalence. This excess pain was due to the lower SES among Native Americans but remained significant and unexplained among multiracial adults. The pain prevalence in White, Black, and Hispanic adults fell in between the 2 extremes. In this trio, Hispanics showed the lowest prevalence, an advantage not attributable to immigrant status or SES. Although most previous research focuses on Black-White comparisons, these 2 groups differ relatively little. Blacks report lower prevalence of less severe pain definitions than Whites but slightly higher prevalence of severe pain. Net of SES, however, Blacks experienced significantly lower pain across all definitions. Overall, racial disparities are larger than previously recognized once all major racial groups are included, and these disparities are largely consistent across different operationalizations of pain.

Encoding edge type information in graphlets

Graph embedding approaches have been attracting increasing attention in recent years mainly due to their universal applicability. They convert network data into a vector space in which the graph structural information and properties are maximumly preserved. Most existing approaches, however, ignore the rich information about interactions between nodes, i.e., edge attribute or edge type. Moreover, the learned embeddings suffer from a lack of explainability, and cannot be used to study the effects of typed structures in edge-attributed networks. In this paper, we introduce a framework to embed edge type information in graphlets and generate a Typed-Edge Graphlets Degree Vector (TyE-GDV). Additionally, we extend two combinatorial approaches, i.e., the colored graphlets and heterogeneous graphlets approaches to edge-attributed networks. Through applying the proposed method to a case study of chronic pain patients, we find that not only the network structure of a patient could indicate his/her perceived pain grade, but also certain social ties, such as those with friends, colleagues, and healthcare professionals, are more crucial in understanding the impact of chronic pain. Further, we demonstrate that in a node classification task, the edge-type encoded graphlets approaches outperform the traditional graphlet degree vector approach by a significant margin, and that TyE-GDV could achieve a competitive performance of the combinatorial approaches while being far more efficient in space requirements.

Social network change after new-onset pain among middle-aged and old European adults

OBJECTIVE

This study examines how onset of chronic pain affects characteristics of personal social networks among adults aged 51+ across Europe.

METHODS

We used population-based data from the Survey of Health, Ageing and Retirement in Europe (SHARE; 2011-2015; n = 12,647). Using a change score analysis approach, we tracked changes in personal social networks of respondents experiencing new-onset chronic pain (n = 3803) compared to pain-free counterparts (n = 8844) in 11 European countries over four years.

RESULTS

Overall, consistent with network activation theory, respondents with new-onset mild-to-moderate chronic pain reported increases in sizes and diversity of their personal social networks, compared to their pain-free counterparts. However, consistent with the "pain as threat to the social self" theory, respondents with new-onset moderate pain or mild-to-moderate pain reported a decrease over time in perceived satisfaction and closeness with networks, respectively. Estimates from interactions between new-onset pain severity and sex show that men with new-onset pain experienced greater decreases in network satisfaction (mild pain) and closeness (severe pain) than did women.

DISCUSSION

This study highlights the complex social consequences of chronic pain, which may vary based on pain severity, gender, and type of social outcome considered.

Brief Pain Inventory Pain Interference Subscale: Assessing Interference With Daily Living Activities in Older Adults With Multisite Musculoskeletal Pain

Objectives

This study aims to determine domains of pain interference in daily routines assessed using the Brief Pain Inventory, in relation to multisite musculoskeletal pain among older adults living in the community.

Design

The MOBILIZE Boston Study is a population-based study of 749 adults aged 70 and older.

Measurements

Chronic musculoskeletal pain was assessed using a joint pain questionnaire and grouped as: no pain, single-site and multisite pain. The Brief Pain Inventory pain interference (PI) sub-scale assessed level of pain interference (0–10 rating) in 7 domains including general activity, mood, walking, work, relationships with people, sleep, and enjoyment of life. Interference ratings were grouped as: none (0), mild (>0 and ≤ 2), and moderate to severe (>2) PI.

Results

PI was more common among women and those with less education compared to others. Older adults with chronic conditions such as osteoarthritis, depression, spinal stenosis, peripheral artery disease, and asthma/lung disease were more likely than their peers to report PI (p < 0.05). Multisite musculoskeletal pain was strongly associated with pain interference in all domains (p < 0.05). More than half of older adults with multisite musculoskeletal pain reported moderate to severe PI with general activity and walking. The highest prevalence of moderate to severe PI (score >2) in general activity was seen in participants with depression (62%), knee and hand osteoarthritis (71%) and peripheral artery disease (65%).

Conclusion

Greater attention to PI and PI domains such as general activity and walking, could aid in efforts to reduce the overall impact of multisite musculoskeletal pain among older adults.

Sociology of Chronic Pain

Chronic pain is a common, costly, and consequential health problem. However, despite some important analytic contributions, sociological research on pain has not yet coalesced into a unified subfield. We present three interrelated bodies of evidence and illustrative new empirical findings using 2010 to 2018 National Health Interview Survey data to argue that pain should have a central role in sociological investigations of health. Specifically, we contend that (1) pain is a sensitive barometer of population health and well-being, (2) pain is emblematic of many contested and/or chronic conditions, and (3) pain and pain treatment reflect and have wide-ranging implications for public policy. Overall, whether pain is analyzed quantitatively or qualitatively-focusing on its distribution in the population, its social causes and consequences, or its subjective meanings for individuals-pain reflects social conditions, sociopolitical context, and health-related beliefs of a society. Pain is thus an important frontier for future sociological research.