Literature DB >> 35177480

Association of COVID-19 pandemic-related concern and health routine changes with functioning among individuals with systemic lupus erythematosus.

Laura C Plantinga1,2, Courtney Hoge3, Charmayne Dunlop-Thomas3, Brad D Pearce2, S Sam Lim3,2, Cristina Drenkard3,2, C Barrett Bowling4,5.   

Abstract

OBJECTIVE: To examine whether pandemic-related issues were associated with physical functioning, community mobility and cognition among individuals with SLE.
METHODS: Participants were recruited (6 October 2020-11 November 2021) for this cross-sectional study from a population-based cohort of individuals with validated SLE in metropolitan Atlanta, as part of an ongoing ancillary study. Pandemic-related issues (concern about the pandemic (very vs somewhat/not at all concerned); changes in physical activity and sleep (less vs more/same); difficulty obtaining food and medications and accessing routine care (any vs none)) were self-reported. Self-reported physical functioning and episodic and working memory performance were reported as t-scores (such that a score of 50=population mean and a 10-point difference=1 SD) and community mobility scores ranged from 0 to 120, with higher scores representing better functioning for all domains. Differences in scores were assessed via t-tests and age-adjusted, sex-adjusted and race-adjusted linear regression.
RESULTS: Among 245 participants (mean age, 46 years; 95% female, 77% black), physical functioning t-scores (mean=44) were consistently lower (by 3-5 points) for those who reported concern about the pandemic, less physical activity and sleep, difficulty obtaining food and medications, and accessing routine care. Similarly, community mobility scores (mean=48) were lower (by 10-20 points) for these individuals. There were no substantial differences in episodic memory and working memory t-scores (mean=50 and 47, respectively) by pandemic-related issues.
CONCLUSION: We found that physical functioning and community mobility, but not cognition, were lower among those who reported more concern about the pandemic or greater disruptions to health routines. Future studies should explore interventions among these vulnerable individuals with SLE, who already disproportionately suffer from functional impairment, to maintain functioning and prevent adverse outcomes during times of crisis. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; epidemiology; quality of life; systemic lupus erythematosus

Mesh:

Year:  2022        PMID: 35177480      PMCID: PMC8889448          DOI: 10.1136/lupus-2022-000658

Source DB:  PubMed          Journal:  Lupus Sci Med        ISSN: 2053-8790


The COVID-19 pandemic may have adversely affected functioning in individuals with SLE. These relatively young individuals are already disproportionately affected by functional impairment. We found that, in a cohort of individuals with SLE, physical functioning and community mobility, but not cognition, were lower among those who reported more concern about the pandemic or greater disruptions to health routines during the pandemic. Future studies should explore interventions to maintain functioning in this vulnerable population during times of crisis.

Introduction

Individuals with SLE have suboptimal levels of functioning across multiple domains, including perceived physical functioning, community mobility and social participation, and cognition.1 The COVID-19 pandemic has generally been associated with disrupted health routines and fewer opportunities for social, mental and physical activity; fear about COVID-19 may have further limited these opportunities. Thus, concern about the pandemic and pandemic-related changes in health routines, including those directly related to disease self-management, may have negatively impacted daily functioning among these individuals, who are already disproportionately functionally impaired. Leveraging an ongoing ancillary cohort study (Approaches to Positive, Patient-centered Experiences of Aging in Lupus (APPEAL)), we examined whether pandemic-related issues were associated with self-reported physical functioning, community mobility and cognitive performance among individuals with SLE.

Methods

Study population and data sources

We recruited patients and used data from the ongoing, population-based Georgians Organized Against Lupus (GOAL) cohort. GOAL recruitment and data collection details have been described2; participants are adults (≥18 years) with a documented diagnosis of SLE (≥4 revised American College of Rheumatology (ACR) criteria,3 or 3 ACR criteria plus a diagnosis of SLE by an attending board-certified rheumatologist). Participants were ineligible for APPEAL remote visits if they currently lived outside of Georgia, were unable to complete the consent, did not speak English, had insufficient vision or hearing, or did not have a laptop or smartphone or internet access. APPEAL began enrolment on 8 October 2019. In-person visits were temporarily halted (10 March 2020–20 July 2021) at the start of the pandemic and a remote version of the APPEAL Study visit was created, pilot-tested and rolled out. Here, we report on data from remote APPEAL visits (6 October 2020–11 November 2021), which included a COVID-19 questionnaire. Data on cognitive performance were entered using the National Institutes of Health (NIH) Toolbox application4 5; other data were obtained from self-administered surveys via REDCap.6

Variables

Pandemic-related issues

Participants were asked about six potential pandemic-related issues,7 including level of concern about the pandemic (dichotomised as very vs somewhat/not at all concerned) and changes in health routines relative to before the pandemic: level of physical activity and amount of sleep (dichotomised as less vs more/about the same); and difficulties obtaining food, accessing routine medical care, and obtaining medications (dichotomised as very/unable, much or some vs no difficulty).

Self-reported physical functioning

The Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Functioning-Short Form 12a8 was used to assess participants’ perceptions of their physical functioning. Raw scores were scaled to t-scores (50=average score for a general adult population, 10=1 SD); higher scores represent better self-reported physical functioning.

Community mobility

The University of Alabama (UAB) Study of Aging Life-Space Assessment9 was used to capture community mobility and social participation by measuring how far respondents go (from the bedroom to other rooms to outside the home, neighbourhood and town (life-spaces)), as well as how often respondents go to these life-spaces and with how much help over the past 4 weeks. Overall scores range from 0 to 120; higher scores representing greater life-space mobility.

Episodic and working memory

The Picture Sequence Memory Test (in which the participant is asked to recall the order of an increasing number of related pictures presented to them; measures episodic memory) and List Sorting Working Memory Test (in which the participant is asked to verbally recite back lists of related objects presented to them, in size order; measures working memory) were administered remotely10 via the NIH Toolbox application.4 5 All individual raw scores were converted to t-scores, which were adjusted for age, sex, race/ethnicity and education; higher scores indicate better cognitive functioning.

Demographics

Age, sex at birth and race were self-reported during the cognition battery.

Statistical analysis

Descriptive statistics were used to summarise the participant characteristics and overall functioning scores. Scores were compared by dichotomised responses to pandemic issue items using t-test and Wilcoxon rank-sum test. Multivariable linear regression models including age, sex and race, and using complete case analysis were used to obtain adjusted differences and 95% CIs. All analyses were performed using Stata V.17 (College Station, Texas, USA).

Results

Participant characteristics

Participants had a mean age of 46 years and were predominantly female and black (table 1). More than half reported being very concerned about the pandemic (56%), as well as being less physically active (55%) and sleeping less (54%), relative to before the pandemic. Difficulties obtaining food (34%) and medications (21%) and accessing routine medical care (42%) were also commonly reported (table 1); 10%, 22%, 18%, 18%, 16%, 9%, and 7% reported zero, one, two, three, four, five, and all six of these issues, respectively. Among those taking hydroxychloroquine, 29% reported difficulty obtaining it (table 1).
Table 1

Characteristics of participants with SLE completing a functional assessment and COVID-19 pandemic questionnaire (6 October 2020–11 November 2021)

CharacteristicMean (SD) or n (%)
N245
Demographic
Mean (SD) age at survey, years46.0 (11.5)
Female at birth, n (%)233 (95.1)
Race,* n (%)
 Black193 (78.8)
 White37 (15.1)
 Asian4 (1.6)
 American Indian/Alaskan Native1 (0.4)
 Hawaiian/Pacific Islander1 (0.4)
 Other9 (3.7)
Pandemic related
Very vs somewhat/not all concerned†137 (56.2)
Less physically active‡133 (54.7)
Sleeping less‡132 (53.9)
Difficulty obtaining food‡83 (33.9)
Difficulty accessing routine medical care‡103 (42.0)
Difficulty obtaining medications‡52 (21.2)
Difficulty obtaining hydroxychloroquine‡§46 (29.1)

*Participants who reported multiple races including black (n=3) were categorised as black; no other participants listed multiple races.

†N=244.

‡Reported as less versus about the same or more (physical activity, sleep) or any versus no difficulty (obtaining food, accessing routine care, obtaining medications), as compared with prior to the pandemic.

§Among those who reported currently taking hydroxychloroquine (N=158).

Characteristics of participants with SLE completing a functional assessment and COVID-19 pandemic questionnaire (6 October 2020–11 November 2021) *Participants who reported multiple races including black (n=3) were categorised as black; no other participants listed multiple races. †N=244. ‡Reported as less versus about the same or more (physical activity, sleep) or any versus no difficulty (obtaining food, accessing routine care, obtaining medications), as compared with prior to the pandemic. §Among those who reported currently taking hydroxychloroquine (N=158).

Associations of functioning outcomes with pandemic-related issues

Physical functioning t-scores (overall mean=44) were consistently lower (by 3–5 points, or ~0.5 SD) for those who reported having these issues versus not (table 2), and there was a linear trend of lower scores with greater number of pandemic-related issues (0 issues: 50 (9); 6 issues: 35 (10); p<0.001). Differences remained after adjustment for age, sex and race (figure 1). Community mobility scores (overall mean=48) were lower (by 10–20 points) for these individuals (table 2), and there was a similar trend of lower scores with greater number of pandemic-related issues (0 issues: 63 (32); 6 issues: 27 (23); p<0.001). Those who reported pandemic-related issues were less likely to report reaching each life-space versus those who did not: for example, participants were less likely to report visiting their neighbourhood at least once in the past month without any assistance if they also reported sleeping less (52% vs 76%; p<0.001) or having difficulty obtaining food (54% vs 67%, p=0.05) or medications (44% vs 68%; p=0.002). Rank-sum analyses accounting for the skewed distribution of community mobility scores (median=50, IQR=18–72) and adjustment did not substantially change the associations (figure 1). Finally, no substantial differences were seen in the episodic memory and working memory t-scores (overall mean=50 and 47, respectively), regardless of adjustment (table 2, figure 1), and no statistically significant trends by total number of pandemic-related issues were noted. In 2021 vs 2020, physical functioning (45 vs 42), life-space (48 vs 44) and episodic memory (50 vs 48) scores were higher overall, but patterns in scores were consistent across years; there was no difference by year in working memory scores or patterns.
Table 2

Scores* for physical functioning, community mobility, episodic memory and working memory scores of participants, overall and by pandemic-related issues

Scores by:Domain of functioning
Physical functioning(n=245)Community mobility(n=245)Episodic memory(n=226)Working memory(n=235)
Overall44.2 (9.4)47.7 (33.1)49.8 (10.7)47.3 (9.7)
Level of concern
 Very concerned42.3 (9.1)44.0 (32.3)49.2 (11.3)47.7 (9.4)
 Somewhat/not at all concerned46.6 (9.4)52.0 (33.6)50.7 (9.9)46.9 (10.1)
 P value† <0.001 0.06 0.3 0.6
Less physically active
 Yes42.1 (9.1)44.7 (33.2)49.5 (11.1)47.8 (9.8)
 No46.9 (9.2)51.3 (33.1)50.5 (10.0)47.0 (9.5)
 P value† <0.001 0.1 0.5 0.5
Sleep less
 Yes41.7 (9.4)38.0 (29.8)50.6 (10.8)48.3 (8.9)
 No47.1 (8.6)59.1 (33.3)48.9 (10.4)46.1 (10.5)
 P value <0.001 <0.001 0.2 0.08
Difficulty obtaining food
 Yes40.2 (9.1)38.7 (29.9)50.9 (11.2)48.1 (9.2)
 No46.2 (9.0)52.4 (33.8)49.3 (10.4)46.9 (9.9)
 P value† <0.001 0.002 0.3 0.4
Difficulty getting routine care
 Yes41.5 (9.4)41.5 (31.9)49.9 (10.8)47.8 (8.9)
 No46.1 (9.0)52.2 (33.4)49.8 (10.6)47.0 (10.2)
 P value† <0.001 0.01 0.9 0.5
Difficulty obtaining medications
 Yes39.6 (9.4)35.0 (29.5)49.2 (11.1)48.5 (9.5)
 No45.4 (9.1)51.2 (33.3)50.0 (10.6)47.0 (9.7)
 P value† <0.001 0.002 0.7 0.4
Difficulty obtaining hydroxychloroquine‡
 Yes42.6 (9.7)39.8 (32.3)50.1 (11.0)49.2 (9.3)
 No45.0 (9.6)48.9 (34.4)50.3 (10.5)47.5 (9.4)
 P value† 0.1 0.1 0.9 0.3

*Scores for self-reported physical functioning (from the Patient-Reported Outcomes Measurement Information System Physical Functioning-Short Form 12a8) and episodic and working memory (from the National Institutes of Health Toolbox Cognition Battery5) are t-scores (50=average score for a general adult population; 10=1 SD; and higher scores=better functioning); memory scores are further adjusted for age, sex, race/ethnicity and education. Community mobility scores are from the University of Alabama Study of Aging Life-Space Assessment9 (range: 0–120; higher scores=greater community mobility).

†By t-test.

‡Among those who reported currently taking hydroxychloroquine (n=158).

Figure 1

Age-adjusted, sex-adjusted and race-adjusted differences in physical functioning, community mobility, episodic memory and working memory scores by pandemic-related issues. Race was categorised as black versus other. Scores for self-reported physical functioning (from the Patient-Reported Outcomes Measurement Information System Physical Functioning-Short Form 12a8) and episodic and working memory (from the National Institutes of Health Toolbox Cognition Battery5) are t-scores (50=average score for a general adult population; 10=1 SD; and higher scores=better functioning); memory scores are further adjusted for age, sex, race/ethnicity and education. Community mobility scores are from the University of Alabama Study of Aging Life-Space Assessment9 (range: 0–120; higher scores=greater community mobility).

Age-adjusted, sex-adjusted and race-adjusted differences in physical functioning, community mobility, episodic memory and working memory scores by pandemic-related issues. Race was categorised as black versus other. Scores for self-reported physical functioning (from the Patient-Reported Outcomes Measurement Information System Physical Functioning-Short Form 12a8) and episodic and working memory (from the National Institutes of Health Toolbox Cognition Battery5) are t-scores (50=average score for a general adult population; 10=1 SD; and higher scores=better functioning); memory scores are further adjusted for age, sex, race/ethnicity and education. Community mobility scores are from the University of Alabama Study of Aging Life-Space Assessment9 (range: 0–120; higher scores=greater community mobility). Scores* for physical functioning, community mobility, episodic memory and working memory scores of participants, overall and by pandemic-related issues *Scores for self-reported physical functioning (from the Patient-Reported Outcomes Measurement Information System Physical Functioning-Short Form 12a8) and episodic and working memory (from the National Institutes of Health Toolbox Cognition Battery5) are t-scores (50=average score for a general adult population; 10=1 SD; and higher scores=better functioning); memory scores are further adjusted for age, sex, race/ethnicity and education. Community mobility scores are from the University of Alabama Study of Aging Life-Space Assessment9 (range: 0–120; higher scores=greater community mobility). †By t-test. ‡Among those who reported currently taking hydroxychloroquine (n=158).

Discussion

We found that concern about the pandemic and reported changes in health routines were common and associated with substantially lower scores for perceived physical functioning and community mobility and social participation, consistent with patterns observed in older adults.11–13 In this cross-sectional study, we cannot determine whether these observed associations reflect true causal associations. We also cannot know the direction of the associations, or whether these associations differ from those in the population without SLE. Regardless, these results suggest that lower-functioning patients with SLE may disproportionately lack access to resources, including food, medications and medical care, during times of massive societal shifts like this pandemic, making them more vulnerable to further declines in functioning and poor outcomes. In contrast, these pandemic-related issues were not associated with lower episodic or working memory scores, despite some evidence in older adults that the pandemic had deleterious effects on cognition.14 This lack of association may reflect a true lack of association of these issues with cognition. It is also possible that the cognitive domains of working and episodic memory (the only domains that could be measured remotely via NIH Toolbox10) are not the domains most immediately affected by the pandemic-related issues among individuals with SLE. In fact, our pilot showed that episodic and working memory scores were consistent with average scores in the general population; but attention and inhibitory control and processing speed scores were substantially lower (~1 SD below the average),1 suggesting these domains may have been more vulnerable to impairment due to pandemic-related issues among individuals with SLE. Other limitations deserve mention. Residual confounding, selection bias (introduced through the additional exclusion of individuals unable to do a remote visit) and lack of generalisability are all possible. Additionally, there may have been temporal trends in associations (given rapidly changing policies and availability of resources) that could not be captured with analyses by year alone. In this cross-sectional study of individuals with SLE, we found that physical functioning and community mobility scores, but not episodic and working memory scores, were lower among those who reported higher concern about the COVID-19 pandemic and greater disruptions to health routines during the pandemic. For this relatively young population that already experiences levels of functional impairment most often associated with older age, further sudden declines in functioning could be devastating to both quantity and quality of life years remaining. Future studies should examine persistence of reduced functioning beyond the pandemic, subsequent physical and mental health outcomes, and patients’ perspectives on motivators and barriers to maintaining function in times of crisis. Such data can inform efforts to target the vulnerable individuals with SLE for interventions, including promotion of physical activity and enhanced social support, to maintain functioning and prevent adverse outcomes during periods of social upheaval.
  11 in total

1.  Geriatric Assessment of Physical and Cognitive Functioning in a Diverse Cohort of Systemic Lupus Erythematosus Patients: A Pilot Study.

Authors:  Laura Plantinga; Benjamin D Tift; Charmayne Dunlop-Thomas; S Sam Lim; C Barrett Bowling; Cristina Drenkard
Journal:  Arthritis Care Res (Hoboken)       Date:  2018-08-27       Impact factor: 4.794

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus.

Authors:  M C Hochberg
Journal:  Arthritis Rheum       Date:  1997-09

4.  The cognition battery of the NIH toolbox for assessment of neurological and behavioral function: validation in an adult sample.

Authors:  Sandra Weintraub; Sureyya S Dikmen; Robert K Heaton; David S Tulsky; Philip David Zelazo; Jerry Slotkin; Noelle E Carlozzi; Patricia J Bauer; Kathleen Wallner-Allen; Nathan Fox; Richard Havlik; Jennifer L Beaumont; Dan Mungas; Jennifer J Manly; Claudia Moy; Kevin Conway; Emmeline Edwards; Cindy J Nowinski; Richard Gershon
Journal:  J Int Neuropsychol Soc       Date:  2014-06-24       Impact factor: 2.892

5.  Assessing mobility in older adults: the UAB Study of Aging Life-Space Assessment.

Authors:  Claire Peel; Patricia Sawyer Baker; David L Roth; Cynthia J Brown; Eric V Brodner; Richard M Allman
Journal:  Phys Ther       Date:  2005-10

Review 6.  Understanding Lupus Disparities Through a Social Determinants of Health Framework: The Georgians Organized Against Lupus Research Cohort.

Authors:  S Sam Lim; Cristina Drenkard
Journal:  Rheum Dis Clin North Am       Date:  2020-09-09       Impact factor: 2.670

7.  Impact of COVID-19 Pandemic on Life-Space Mobility of Older Adults Living in Brazil: REMOBILIZE Study.

Authors:  Monica R Perracini; Juleimar Soares Coelho de Amorim; Camila Astolphi Lima; Alexandre da Silva; Francis Trombini-Souza; Daniele Sirineu Pereira; Paulo Henrique Silva Pelicioni; Etiene Duim; Patricia Parreira Batista; Renato Barbosa Dos Santos; Maria do Carmo Correia de Lima
Journal:  Front Public Health       Date:  2021-04-09

8.  Assessing the Impact of the COVID-19 Pandemic and Accompanying Mitigation Efforts on Older Adults.

Authors:  Peggy M Cawthon; Eric S Orwoll; Kristine E Ensrud; Jane A Cauley; Stephen B Kritchevsky; Steven R Cummings; Anne Newman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

9.  Life-Space Mobility and Active Aging as Factors Underlying Quality of Life Among Older People Before and During COVID-19 Lockdown in Finland-A Longitudinal Study.

Authors:  Taina Rantanen; Johanna Eronen; Markku Kauppinen; Katja Kokko; Sini Sanaslahti; Niina Kajan; Erja Portegijs
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-02-25       Impact factor: 6.053

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