Category: Public Health

The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis

Abstract:

Background: Fatigue is one of the most common subjective symptoms that impairs daily life and predict health-related events. This study aimed to estimate the prevalence of fatigue in the global population.

Methods: PubMed and the Cochrane Library were used to search for relevant articles from inception to December 31, 2021. Studies with prevalence data of fatigue in the general population were selected and reviewed by three authors independently and cross-checked. Regarding subgroups, adults (≥18 years), minors (<18 years), and specific occupation population (participants in each study being limited to a specific occupational group), and fatigue types and severity, meta-analysis was conducted to produce point estimates and 95% confidence intervals (95% CI).

Results: From the initial 3,432 studies, 91 studies accounting for 115 prevalence data points (623,624 participants) were finally selected. The prevalence of general fatigue (fatigue lasting < 6 months, or fatigue of unspecified duration) was 20.4% (95% CI, 16.7–25.0) in adults, 11.7% (95% CI, 5.2–26.6) in minors, and 42.3% (95% CI, 33.0–54.2) in specific occupations. Chronic fatigue (fatigue lasting more than 6 months) affected 10.1% (95% CI, 8.2–12.5) of adults, 1.5% (95% CI, 0.5–4.7) of minors, and 5.5% (95% CI, 1.4–21.6) of subjects in specific occupations. There was an overall female-predominant prevalence for all subgroup analyses, with a total odds ratio of 1.4 (95% CI, 1.3–1.6).

Regarding the severity and presence of medical causes, the total prevalence of moderate fatigue [14.6% (95% CI, 9.8–21.8)] was 2.4-fold that of severe fatigue [6.1% (95% CI, 3.4–11.0)], while unexplained fatigue (fatigue experienced by individuals without any underlying medical condition that can explain the fatigue) was ~2.7-fold that of explained fatigue (fatigue experienced by individuals with a medical condition that can explain the fatigue); as proportion of 40.0% of physical, 8.6% of mental, and 28.4% of mixed cause.

Conclusions: This study has produced the first comprehensive picture of global fatigue prevalence in the general population, which will provide vital reference data contributing to fatigue-related research, including the prevention of diseases.

Source: Yoon JH, Park NH, Kang YE, Ahn YC, Lee EJ, Son CG. The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis. Front Public Health. 2023 Jul 28;11:1192121. doi: 10.3389/fpubh.2023.1192121. PMID: 37575103; PMCID: PMC10416797. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416797/ (Full text)

Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives

Abstract:

The ongoing COVID-19 pandemic has profoundly affected millions of lives globally, with some individuals experiencing persistent symptoms even after recovering. Understanding and managing the long-term sequelae of COVID-19 is crucial for research, prevention, and control. As a result, to monitor the health of individuals affected by these conditions, they must maintain up-to-date health records using digital health informatics apps for surveillance.

In this review, we provide an overview of the existing literature on identifying long COVID manifestations through hierarchical classification and the characterization of long COVID by different hierarchical groups based on the Human Phenotype Ontology (HPO). We outline the aspects of the National COVID Cohort Collaborative (N3C) and Researching COVID to Enhance Recovery (RECOVER) in artificial intelligence (AI) to identify long COVID.

Knowledge exploration, using the concept map for the clinical pathways of long COVID presented in this paper, provides an overview of the data needed to explore tackling the long-term effect of COVID-19 by integrating innovative cohesive frameworks and designing health informatics-based applications. To the best of our knowledge, this is the first paper to explore the potential incorporation of long COVID as a variable risk factor within a digital health informatics application.

Source: Ambalavanan, R.; Snead, R.S.; Marczika, J.; Kozinsky, K.; Aman, E. Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives. Preprints.org2023, 2023062111. https://doi.org/10.20944/preprints202306.2111.v1 https://www.preprints.org/manuscript/202306.2111/v1 (Full text available as PDF file)

The Economic Cost of Long COVID: An Update

Relative to my earlier estimate with Lawrence Summers of the cost of long COVID of $2.6 trillion, the higher number here is higher: $3.7 trillion in total. The higher estimate is largely a result of the greater prevalence of long COVID than we had guessed at the time. There are about 10 times the number of people with long COVID as have died of COVID. Because long COVID is so new, there is uncertainty about all of the numbers involved in the calculations. Still, the costs here are conservative, based on only cases to date. The enormity of these costs implies that policy to address long COVID are urgently needed. With costs this high, virtually any amount spent on long COVID detection, treatment, and control would result in benefits far above what it costs.

Read the full text here: https://scholar.harvard.edu/files/cutler/files/long_covid_update_7-22.pdf

Note: See The COVID-19 Pandemic and the $16 Trillion Virus for background.

Source: David M. Cutler. The Economic Cost of Long COVID: An Update. Harvard University.

Long Covid: conceptualizing the challenges for public health

Abstract:

Background: Long Covid has caused significant disruption to public services, economies and population health worldwide, but no single public health approach has proven effective in its management. This essay was the winning entry for the Faculty of Public Health’s Sir John Brotherston Prize 2022.

Methods: In this essay, I synthesize existing literature on public health policy in long Covid, and discuss the challenges and opportunities posed by long Covid for the public health profession. The utility of specialist clinics and community care, in the UK and internationally, is examined, as well as key outstanding issues relating to evidence generation, health inequality and defining long Covid. I then use this information to inform a simple conceptual model.

Results: The generated conceptual model integrates community- and population-level interventions; key areas of identified policy need at both levels include ensuring equitable access to long Covid care, developing screening programmes for high-risk populations, co-production of research and clinical services with patients, and using interventions to generate evidence.

Conclusions: Significant challenges remain in the management of long Covid from a public health policy perspective. Multidisciplinary community-level and population-level interventions should be employed with a view to achieving an equitable and scalable model of care.

Source: Prashar J. Long Covid: conceptualizing the challenges for public health. J Public Health (Oxf). 2023 May 2:fdac153. doi: 10.1093/pubmed/fdac153. Epub ahead of print. PMID: 37132023. https://academic.oup.com/jpubhealth/advance-article/doi/10.1093/pubmed/fdac153/7147865 (Full text)

Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study

Abstract:

Background:

Previous research has shown that socioeconomic status (SES) is a strong predictor of chronic disease. However, to the best of our knowledge, there has been no studies of how SES affects the risk of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that has not been based upon self-reporting or retrospectively screening of symptoms. As far as we know, this is therefore the first study that isolate and describe socioeconomic determinants of ME/CFS and calculate how these factors relate to the risk of ME/CFS diagnosis by utilizing individual level registry data, which allows for objective operationalization of the ME/CFS population, and the utilization of different control groups.

Data and methods: We utilize health registry data from all adult patients diagnosed with ME/CFS from 2016-2018 in Norway, coupled with socioeconomic data from statistics Norway from 2009-2018. We operationalize SES as household income and educational attainment fixed at the beginning of the study period. We compare the effects of SES on the risk of ME/CFS diagnosis to a population of patients with hospital diagnoses that share clinical characteristics of ME/CFS and a healthy random sample of the Norwegian population. Our models are estimated by logistic regression analyses.Results: When comparing the risk of ME/CFS diagnosis with a population consisting of people with four specific chronic diseases, we find that high educational attainment is associated with a 19% increase (OR: 1.19) in the risk of ME/CFS and that high household income is associated with a 18% increase (OR:0.82) in risk of ME/CFS. In model 2, when comparing with a healthy population sample, we find that low educational attainment is associated with 69% decrease (OR:0.31) in the risk of ME/CFS and that low household income is associated with a 53% increase (OR: 1.53).

Conclusion: We find statistically significant associations between SES and the risk of ME/CFS. However, our more detailed analyses shows that our findings vary according to which population we compare the ME/CFS patients with, and that the effect of SES is larger when comparing with a healthy population sample, as opposed to controls with selected hospital diagnoses.

Source: Hilland GH, Anthun KS. Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study. Research Square; 2023. DOI: 10.21203/rs.3.rs-2755999/v1. https://europepmc.org/article/ppr/ppr646979 (Full text available as PDF file)

“Living like an empty gas tank with a leak”: Mixed methods study on post-acute sequelae of COVID-19

Abstract:

Background: The burden and presentation of post-acute sequela of SARS-CoV-2 infection (PASC) are a developing major public health concern.

Objectives: To characterize the burden of PASC in community-dwelling individuals and understand the experiences of people living with PASC.

Methods: This mixed-methods study of COVID-19 positive community-dwelling persons involved surveys and in-depth interviews. Main outcome was self-report of possible PASC symptoms 3 weeks or longer after positive COVID-19 test. In-depth interviews were guided by a semi-structured interview guide with open-ended questions and probes based on emerging literature on PASC and the impact of COVID-19.

Results: With a survey response rate of 70%, 442 participants were included in this analysis, mean (SD) age 45.4 (16.2) years, 71% female, 12% Black/African American. Compared to those with no PASC symptoms, persons who reported PASC symptoms were more likely to be older (mean age: 46.5 vs. 42; p = 0.013), female (74.3% vs. 61.2%; p = 0.010), to have pre-existing conditions (49.6% vs. 34%; p = 0.005), and to have been hospitalized for COVID-19 (14.2% vs. 2.9%; p = 0.002). About 30% of the participants experienced severe fatigue; the proportion of persons reporting severe fatigue was 7-fold greater in those with PASC symptoms (Adjusted Prevalence Ratio [aPR] 6.73, 95%CI: 2.80-16.18). Persons with PASC symptoms were more likely to report poor quality of life (16% vs. 5%, p<0.001) and worse mental health functioning (Mean difference: -1.87 95%CI: -2.38, -1.37, p<0.001). Themes from in-depth interviews revealed PASC was experienced as debilitating.

Conclusions: In this study, the prevalence of PASC among community-dwelling adults was substantial. Participants reported considerable coping difficulties, restrictions in everyday activities, invisibility of symptoms and experiences, and impediments to getting and receiving PASC care.

Source: Ogungbe O, Slone S, Alharthi A, Tomiwa T, Kumbe B, Bergman A, McNabb K, Smith Wright R, Farley JE, Dennison Himmelfarb CR, Cooper LA, Post WS, Davidson PM, Commodore-Mensah Y. “Living like an empty gas tank with a leak”: Mixed methods study on post-acute sequelae of COVID-19. PLoS One. 2022 Dec 30;17(12):e0279684. doi: 10.1371/journal.pone.0279684. PMID: 36584125; PMCID: PMC9803174. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803174/ (Full text)

Risk factors, health outcomes, healthcare services utilization, and direct medical costs of long COVID patient

Abstract:

Background: Data on the economic burden of long-COVID are scarce. We aimed to examine the prevalence and medical-costs for treating long-COVID.

Methods: We conducted this historical-cohort study using data of patients with COVID-19 among members of a large health-provider in Israel. Cases were defined according to physician diagnosis (definite long-COVID) or suggestive symptoms given ≥4-weeks from infection (probable cases). Healthcare resource utilization (HCRU) and direct healthcare costs (HCCs) in the period prior to infection and afterwards were compared across study groups.

Findings: Between March 2020, and March 2021, a total of 180,759 COVID-19 patients (mean[SD] age=32.9y [19.0y]; 89,665 [49.6%] females) were identified. Overall, 14,088(7.8%) individuals developed long-COVID (mean[SD] age=40.0y [19.0y]; 52.4% females). Among them, 1,477(10.5%) were definite long-COVID and 12,611(89.5%) were defined as probable long-COVID. Long-COVID was associated with age (AOR=1.058 per year, 95%CI:1.053-1.063), female sex (AOR=1.138;1.098-1.180), smoking (AOR=1.532;1.358-1.727), and symptomatic acute-phase (AOR=1.178;1.133-1.224), primarily muscle-pain and cough. Hypertension was an important risk factor for long-COVID among younger adults. Compared to non-long-COVID patients, definite and probable cases were associated with AORs of 2.47(2.22-2.75) and 1.76(1.68-1.84) for post-COVID hospitalization, respectively. While among non-long COVID patients HCCs decreased from US$ 1400 during 4 months before the infection to US$ 1021, among long-COVID patients HCC increased from $US 2435 to $US 2810.

Interpretation: Long-COVID is associated with a substantial increase in healthcare services utilization and direct-medical costs. Our findings underline the need for timely planning and allocating resources for long-COVID patient-centered care as well as for its secondary-prevention in high-risk patients.

Source: Tene L, Bergroth T, Eisenberg A, Ben David SS, Chodick G. Risk factors, health outcomes, healthcare services utilization, and direct medical costs of long COVID patient. Int J Infect Dis. 2022 Dec 15:S1201-9712(22)00640-3. doi: 10.1016/j.ijid.2022.12.002. Epub ahead of print. PMID: 36529373. https://www.ijidonline.com/article/S1201-9712(22)00640-3/fulltext (Full text)

A comparison of health-related factors between patients diagnosed with ME/CFS and patients with a related symptom picture but no ME/CFS diagnosis: a cross-sectional exploratory study

Abstract:

Background: In chronic fatigue syndrome/myalgic encephalomyelitis (ME/CFS), the capacity for activity and participation is strongly limited. The disease definition is very broad, and considering the lack of evidence for best treatment, it is important to understand what is ME/CFS-specific in the biopsychosocial perspective in comparison with similar syndromes. The objective was to study the difference between those diagnosed with ME/CFS and those with similar symptoms but no ME/CFS diagnosis for self-perceived level of physical activity, work ability, anxiety/depression, and health-related quality of life.

Methods: This was a clinical cross-sectional study with data collected from mailed questionnaires. The following variables were compared between patients diagnosed with ME/CFS (n = 205) and those with similar symptoms but no diagnosis (n = 57); level of physical activity, Work ability index (WAI), Hospital anxiety and depression scale (HAD-A/HAD-D), and RAND-36 Physical functioning, Role limitations due to physical health problems, Role limitations due to personal or emotional problems, Social functioning, Energy/fatigue, Bodily pain, Emotional well-being, and General health perceptions. The Chi-squared test (nominal data), the Mann-Whitney U test, the Student’s t test and regression analysis were used to analyze the data.

Results: The group diagnosed with ME/CFS had a more impaired physical and mental exertion ability as compared to the group that had similar symptoms but was not diagnosed with ME/CFS, shown by a RAND-36 lower index of physical role functioning, social functioning, energy, worse pain and poorer overall health (p ≤ 0.05). In contrast, no significant group differences emerged for weekly level of physical activity, work ability, anxiety/depression, and RAND-36 Emotional role limitation and well-being.

Conclusion: Our results indicate that those with a diagnosis of ME/CFS are characterized by an impaired ability for physical or mental exertion, worse pain, and poorer overall health as compared to individuals with similar symptoms but for whom ME/CFS-diagnosis was not established. The results may be cautiously interpreted as support when focusing on patients’ self-care in terms of management of energy levels. The results must however be verified in future studies.

Source: Bernhoff G, Rasmussen-Barr E, Bunketorp Käll L. A comparison of health-related factors between patients diagnosed with ME/CFS and patients with a related symptom picture but no ME/CFS diagnosis: a cross-sectional exploratory study. J Transl Med. 2022 Dec 9;20(1):577. doi: 10.1186/s12967-022-03769-x. PMID: 36494693; PMCID: PMC9733040. https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-022-03769-x (Full text)

Association between long COVID symptoms and employment status

Abstract:

Background: Symptoms of Coronavirus-19 (COVID-19) infection persist beyond 2 months in a subset of individuals, a phenomenon referred to as long COVID, but little is known about its functional correlates and in particular the relevance of neurocognitive symptoms.

Method: We analyzed a previously-reported cohort derived from 8 waves of a nonprobability-sample internet survey called the COVID States Project, conducted every 4-8 weeks between February 2021 and July 2022. Primary analyses examined associations between long COVID and lack of full employment or unemployment, adjusted for age, sex, race and ethnicity, education, urbanicity, and region, using multiple logistic regression with interlocking survey weights.

Results: The cohort included 15,307 survey respondents ages 18-69 with test-confirmed COVID-19 at least 2 months prior, of whom 2,236 (14.6%) reported long COVID symptoms, including 1,027/2,236 (45.9%) reporting either ‘brain fog’ or impaired memory. Overall, 1,418/15,307 (9.3%) reported being unemployed, including 276/2,236 (12.3%) of those with long COVID and 1,142/13,071 (8.7%) of those without; 8,228 (53.8%) worked full-time, including 1,017 (45.5%) of those with long COVID and 7,211 (55.2%) without. In survey-weighted regression models, presence of long COVID was associated with being unemployed (crude OR 1.44, 95% CI 1.20-1.72; adjusted OR 1.23, 95% CI 1.02-1.48), and with lower likelihood of working full-time (crude OR 0.73, 95% CI 0.64-0.82; adjusted OR 0.79, 95% CI 0.70 -0.90). Among individuals with long COVID, the presence of cognitive symptoms — either brain fog or impaired memory — was associated with lower likelihood of working full time (crude OR 0.71, 95% CI 0.57-0.89, adjusted OR 0.77, 95% CI 0.61-0.97).

Conclusion: Long COVID was associated with a greater likelihood of unemployment and lesser likelihood of working full time in adjusted models. Presence of cognitive symptoms was associated with diminished likelihood of working full time. These results underscore the importance of developing strategies to respond to long COVID, and particularly the associated neurocognitive symptoms.

Source: Kristin Lunz Trujillo, Roy H Perlis, Alauna Safarpour, Mauricio Santillana, Katherine Ognyanova, James Druckman, David Lazer. Association between long COVID symptoms and employment status. medRxiv 2022.11.17.22282452; doi: https://doi.org/10.1101/2022.11.17.22282452 (Full text available as PDF file)

Beyond COVID-19 and SARS-CoV-2, cardiovascular outcomes of “long covid” from a pathological perspective – a look back and road ahead

Abstract:

With the decrease in severity of COVID-19 there is a sense of relief in the general population. However, there has been an increased incidence of cardiovascular and other organ complications post-infection, which have raised concerns about long COVID. The term “long COVID” was first used by Perego on social media to denote the persistence of symptoms weeks or months after initial SARS-CoV-2 infection and the term ‘long haulers’ was first described by Watson and by Yong to identify post-COVID conditions.

There has been an increased incidence of sudden cardiac death and MI post-COVID-19 in healthy individuals, sports persons and prominent movie stars. Potential mechanisms contributing to the pathophysiology of post-acute COVID-19 may include 1) Damage to tissues and cells that are important for blood flow, so clotting of blood is increased. 2) Persistence of fragments of virus or its sub-particles/ protein material in a wide range of body sites and, 3) an immune system gone haywire.

As the majority of countries across the globe are easing coronavirus precautionary measures, there is an urgent need by health care organizations and policymakers worldwide to generate awareness by educating the public at large, about the ill effects of long-COVID and varied types of post-acute sequelae of COVID-19.

Source: Aden D, Zaheer S, Kumar R, Raj S, Khan T, Varshney S. Beyond COVID-19 and SARS-CoV-2, cardiovascular outcomes of “long covid” from a pathological perspective – a look back and road ahead. Pathol Res Pract. 2022 Sep 29;239:154144. doi: 10.1016/j.prp.2022.154144. Epub ahead of print. PMID: 36242969; PMCID: PMC9519512.  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519512/ (Full text)