Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Changes in mental health outcomes of middle-aged and older adults during the COVID-19 pandemic: A scoping review

  • Shristi Sharma,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Epidemiology and Biostatistics, Western University, London, Canada

  • Hiba Elhassan,

    Roles Data curation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Epidemiology and Biostatistics, Western University, London, Canada

  • Kelly K. Anderson,

    Roles Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Epidemiology and Biostatistics, Western University, London, Canada

  • Marnin J. Heisel,

    Roles Supervision, Writing – original draft, Writing – review & editing

    Affiliations Department of Epidemiology and Biostatistics, Western University, London, Canada, Department of Psychiatry, Western University, London, Canada

  • Piotr Wilk ,

    Contributed equally to this work with: Piotr Wilk, Joel Gagnier

    Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

    pwilk3@uwo.ca

    Affiliations Department of Epidemiology and Biostatistics, Western University, London, Canada, Department of Epidemiology and Population Studies, Medical College, Jagiellonian University, Kraków, Poland

  • Joel Gagnier

    Contributed equally to this work with: Piotr Wilk, Joel Gagnier

    Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Department of Epidemiology and Biostatistics, Western University, London, Canada, Department of Surgery, Western University, London, Canada

Abstract

The COVID-19 pandemic negatively impacted mental health, particularly among middle-aged and older adults, who have emerged as especially vulnerable. This scoping review synthesizes findings from 44 population-based studies retrieved from six databases, aiming to map changes in mental health outcomes during the pandemic and identify associated factors. During the global spread and response phase of the pandemic (May 2020–December 2021), a notable rise in depressive symptoms, anxiety symptoms, stress, distress, loneliness, and poor well-being was documented, highlighting a decrease in overall mental health of middle-aged and older adults. Whereas some studies from the transition period toward the endemic phase of the pandemic (2022–2023), began reporting signs of stabilization or improvement, particularly in depressive symptoms, anxiety symptoms and stress. Factors influencing these negative mental health outcomes were multidimensional (demographic, socioeconomic, health-related, behavioral, and COVID-19-related factors). Female sex, old age, being married, unemployment, lower education status, higher income, poor physical health, limited physical activity, perceived threat of COVID-19, social isolation, and lack of support were mainly associated with worsening mental health changes during the pandemic among middle-aged and older adults. However, there is little research highlighting population-level factors (COVID-19 cases, deaths, vaccination status, etc.) associated with these changes. Also, the evidence remains limited regarding mental health changes during the transition to the endemic phase, possibly due to shifts in research priorities, but it is essential to continue monitoring mental health outcomes to track long-term changes and to prepare for future public health emergencies.

Introduction

Pandemics, environmental catastrophes, and social disasters impact the mental health of individuals [1,2]. The COVID-19 pandemic, for instance, led to disruptions in the daily lives of individuals worldwide, with governments in nearly every part of the globe implementing extensive measures to control the spread of the virus, as documented by the World Health Organization [3]. Whereas much attention was given to infection rates and mortality, the pandemic also brought about significant challenges to mental health as people faced rapid changes, uncertainty, and social isolation [4], much of which persisted into the post-COVID period [5]. Older adults were particularly at risk of worsening mental health during the pandemic due to possible functional declines impacting their ability to participate in activities of daily living, the negative impact of social isolation, and health-related fears [6,7], whereas middle-aged adults also faced worsening symptoms from pandemic-related stressors, such as social isolation, job insecurity, health worries, and an increase in caregiving responsibilities for children and parents [7]. These challenges also intensified pre-existing midlife concerns among middle-aged adults [8,9]. For instance, nearly one-third of adults aged 55 and older in the United States (US) screened positive for depressive symptoms (32%) and anxiety symptoms (29%) in the initial months of the pandemic, indicating elevated symptoms [8].

The nature of the effect of the pandemic on mental health outcomes among middle-aged and older adults changed as the pandemic progressed. The course of the pandemic can be divided into three distinct phases [9,10]; each of which introduces unique challenges to the mental health of middle-aged and older adults. During the initial outbreak and containment phase (December 2019–March 2020), most population-based data showed little evidence of widespread change in mental health indicators. This period is often used as a baseline for measuring later changes, though it is important to note that the pandemic was not widely recognized as a global public health emergency until March 2020. As a result, significant shifts in mental health outcome measures were generally only starting to be observed only during the global spread and response phase (March 2020–December 2021), with studies reporting increased depressive symptoms and a sharp rise in loneliness [11]. During the transition to the endemic phase (Jan 2022–May 2023), partial improvement was observed, where depressive symptoms scores decreased, and anxiety symptoms scores plateaued [11]. These findings highlight the dynamic nature of mental health in middle-aged and older adults during the pandemic and underscore the need for research focused on changes in mental health during the pandemic. It is crucial to understand the changes within-person in various mental health outcomes, in addition to changing prevalence levels at the population level.

This scoping review thus aims to summarize findings from original studies that reported changes in mental health outcomes among middle-aged and older adults during different phases of the pandemic, covering a broad range of mental health outcomes such as depressive symptoms, anxiety symptoms, loneliness, distress, stress, and well-being. In addition, by identifying associated factors for changes in these outcome variables, this review aims to provide a comprehensive understanding of the pandemic’s impact on mental health. The past literature reviews on the effects of the pandemic on mental health focused primarily on the prevalence rather than changes in depressive and anxiety symptoms, often overlooking other critical indicators of mental health outcomes such as loneliness, stress, and distress [1215]. Additionally, most reviews conducted included articles published early in the pandemic, missing insight into long-term trajectories in mental health outcomes and potential recovery processes [1214,16]. Taken together, these gaps highlight the need for a review that moves beyond prevalence estimates to examine changes in a broader range of mental health outcomes over the full course of the pandemic.

Methods

We adopted the Arksey and O’Malley framework for conducting this scoping review [17], and the reporting was guided by the PRISMA-ScR guidelines (S1 Checklist). No review protocol was registered, and no formal assessment of methodological quality (risk of bias) of the included studies was performed [18].

Research questions

Two key questions guided this scoping review:

  1. What changes were reported among middle-aged and older adults during the COVID-19 pandemic across different mental health outcomes (depressive symptoms, anxiety symptoms, loneliness, distress, stress, and well-being)?
  2. What factors are associated with adverse changes in specific mental health outcomes in this population?

Identifying relevant studies

We developed a comprehensive search strategy using the Population–Concept–Context (PCC) framework to guide study eligibility. After consultations with the librarian and research team, relevant databases were identified: CINAHL, MEDLINE, EMBASE, PsycINFO [Subject heading databases], Scopus, and Web of Science [keyword databases]. The search was conducted on March 1, 2024, with subsequent updates on January 25, 2025, and September 8, 2025. The search was conducted using a combination of keywords, and medical subject headings obtained by entering MeSH or Emtree terms in the related database with keywords related to the COVID-19 pandemic, middle-aged, older adults, and mental health outcomes (depressive symptoms, anxiety symptoms, loneliness, stress, distress, and well-being) (S1 Appendix). Additionally, we conducted forward and backward citation searches by reviewing the reference lists of relevant articles and identifying subsequent studies that cited them, to ensure comprehensive coverage of the literature.

We included population-based studies that are quantitative, cross-sectional, or longitudinal, focusing on participants aged 45 and older (including sub populations of adults 45+). These studies reported changes in mental health outcomes such as depressive symptoms, anxiety, loneliness, distress, stress, and well-being during the COVID-19 pandemic using the same measurement scales. This criterion was applied to ensure that observed changes in mental health outcomes were attributable to changes in mental health status rather than variations in measurement resulting from the use of different scales. We excluded qualitative studies, reviews, interventional, grey literature, case studies, non-English, or those focusing on specific subgroups like dementia or COPD patients. Additionally, studies conducted solely in hospitals, clinics, universities, or home care settings were not included.

Study selection

One reviewer (SS) first conducted a pilot screening of 10 studies to check how well the eligibility criteria were applied. After that, screening was done in two steps by two reviewers (SS and HE): (1) screening titles and abstracts, and (2) reviewing full-text articles. Both reviewers worked independently at each step. Any disagreements were resolved through discussion. Forward and backward citation searches were conducted by one reviewer (SS) to find additional relevant articles.

Data extraction

We developed data extraction forms in MS Excel. The form included information on article author name, topic, year, study design and setting, timeline, change in different mental health outcomes, demographics information (age, sex, marital status, and others), socioeconomic status (education, income, employment, and others), health related factors (general health, comorbidities, and others), behavioral factors (smoking, alcohol, activities of daily living [ADL], and others), COVID-related factors, living arrangements, geography/environmental factors, and others associated with changes in mental health outcomes, measurement instruments for mental health outcomes, and main results.

The data extracted were then summarized to identify changes in specific mental health outcomes across the three phases of the COVID-19 pandemic (S1 Fig). Presenting the results by specific mental health outcomes rather than by phases of the pandemic aligns with the review’s objectives by providing a clearer understanding of how these outcomes changed over time and which factors influenced these changes among middle-aged and older adults.

Results

A total of 7,442 records were identified through initial and updated database searches. After the removal of 1069 duplicates, 6,373 records remained for title and abstract screening. Of these, 6013 were excluded based on relevance, leaving 360 full-text articles for eligibility review. Inter-rater agreement during the screening process was measured using Cohen’s kappa, with a value of 0.72, indicating substantial agreement. Following a detailed assessment, 322 articles were excluded for not meeting the inclusion criteria. An additional six studies were identified through citation tracking, resulting in 44 studies that were ultimately included in the review (Fig 1).

thumbnail
Fig 1. PRISMA flow diagram summarizing search process and source selection.

https://doi.org/10.1371/journal.pone.0342140.g001

Study characteristics

Table 2 summarizes characteristics of studies on changes in mental health outcomes during the COVID-19 pandemic. Geographically, most studies were conducted in Europe (45.5%) and North America (31.8%), with the US (25.0%), Canada (11.4%), the United Kingdom (11.4%), and China (9.1%) being the most frequently studied countries. Most of these studies were published in 2022 (31.8%) and 2023 (29.6%). The primary mental health outcomes studied were depressive symptoms (68.2%), loneliness (34.1%), and anxiety symptoms (31.8%), with a total of 20 unique scales used to measure health outcomes. The majority of studies (81.8%) were prospective longitudinal cohort studies, while the remaining (20.5%) were cross-sectional studies in which participants retrospectively reported their pre-pandemic mental health status to assess change. Studies reported a wide range of follow-up periods: the shortest was approximately four months, and the longest extended to nine years. Out of 44 studies, 36 used data from pre-pandemic cohorts (Table 1).

thumbnail
Table 1. Characteristics of included studies (n = 44).

https://doi.org/10.1371/journal.pone.0342140.t001

Changes in mental health outcomes

Depressive symptoms.

Twenty three studies out of 30, reported changes in depressive symptoms during the global spread and response phase, compared to pre-pandemic levels or the initial outbreak phase, with 17 out of 23 indicating an increase in depressive symptoms [7,1934]. However, three studies reported a decrease [3537], and three reported no significant change in depressive symptoms [3840]. Studies measuring changes within the global spread and response phase revealed complex trends. For instance, a study by Wang and colleagues found that depressive symptoms remained stable from May to November 2020 [41]; whereas a study by Wister and colleagues reported an increase in depressive symptoms between April and December 2020 [42]. Further, a study by Mistry and colleagues also reported an increase from October 2020 to December 2021 [43]; Gerhards and colleagues reported increase from May 2020 to May 2021 [11]; and a study by Mayerl and colleagues showed an increase from May 2020 to December 2021 [44]. In contrast, Fields and colleagues reported a decrease in depressive symptoms between May 2020 and April 2021 [45]. In the transition to the endemic phase, limited studies (n = 2) indicated signs of recovery, with both and Gerhards and Pynnönen reporting decreases in depressive symptom scores [11,26]; and one study reported that depressive symptoms increased in 2022, after having decreased in 2021 compared to 2020 [46] (Table 2).

thumbnail
Table 2. Changes in mental health outcomes indicators during different phases of COVID-19.

https://doi.org/10.1371/journal.pone.0342140.t002

Anxiety symptoms.

Overall findings also revealed an increase in anxiety symptoms during the pandemic. Whereas no studies exclusively measured changes in anxiety symptoms between the pre-pandemic and the initial outbreak phase, 8 out of 9 that measured changes in anxiety symptoms during the global spread and response phase reported heightened anxiety symptoms compared to pre-pandemic levels [19,2224,28,30,31,33], and one reported no significant changes [40]. Four studies reported changes within the global spread and response phase. For instance, a study by Wang and colleagues indicated that anxiety symptoms increased after September 2020, after remaining stable from May 2020 to August 2020 [41]; and Mayerl and colleagues reported an increase from May 2020 to Dec 2021 [44]. In contrast, one study reported relatively stable levels of anxiety symptoms from April to December 2020 [47]; and one showed a decrease from May to December 2020 [33]. Gerhards and colleagues reported an increase in anxiety symptoms from May 2020 to May 2021, which, by the endemic phase, had plateaued [11]. However, a study by Elliott and colleagues reported an increase in anxiety symptoms in 2022 as compared to 2021 [46] (Table 2).

Loneliness.

Loneliness emerged as a critical mental health outcome during the pandemic. Twelve studies out of 15 studies that reported changes in loneliness during the global spread and response phase compared to pre-pandemic levels showed significant increases [23,24,30,37,4855]; two reported decreases [37,56]; and one reported no change [57] in levels of loneliness (Table 2). Further, Mayerl and colleagues found that loneliness worsened twice from May 2020 to December 2020 [44] (Table 2).

Other outcomes.

Ejiri and colleagues assessed psychological well-being during the pandemic and reported a significant decrease in well-being during the global spread and response phase [58] compared to pre-pandemic levels. Two studies measured change in psychological distress during the global spread and response phase, both reporting increases in distress symptoms compared to pre-pandemic levels [59,60]. Finally, one study reported a decrease in stress over the pandemic [45], and one reported an increase in overall stress levels [27]. In transition to endemic period, Elliott and colleagues reported decrease in post-traumatic stress in 2022 as compared to 2020 and 2021 [46] (Table 2).

Factors associated with changes in mental health outcomes

Depressive symptoms.

Several factors were significantly associated with the level of change in depressive symptoms during the COVID-19 pandemic. Five out of 10 studies that measure the association of age and changes in depressive symptoms found that within middle-aged and older adult populations, greater age was associated with higher depressive symptoms [20,23,27,30,37]. Female sex was associated with increased depressive symptoms over time in eight out of 13 studies examining sex [7,19,22,23,2931,34]. Regarding socio-economic factors, four out of eight studies assessing education suggested a lower educational status [19,29,37,42]; two out of four studies assessing employment status suggested being unemployed [37,42], and three out of eight assessing income suggested a higher income [19,33,42] were associated with an increase in depressive symptoms. Specific COVID-19-related factors, such as perceived threat and pandemic severity [7,23,29,59], and a high stringency index (a measure of the strictness of government COVID-19 policies such as lockdowns, school closures, and travel restrictions) was associated with an increase in depressive symptoms [37]. COVID-19 infection status and vaccination status were, however, not associated with a change in depressive symptoms [24,37]. However, self-reported poor health was also associated with depressive symptoms in three studies [34,37,42]. Limited physical activity was associated with increased depressive symptoms in five out of seven studies assessing physical activity [22,24,34,37,42]. Social isolation/less social contact [7,22,23,31], poor sleep [31], hopelessness [19], and neurotic personality traits [24] were found to be associated with an increase in depressive symptoms (Fig 2 and S1 Table).

thumbnail
Fig 2. Factors positively associated with changes in mental health outcomes.

Note: Factors included are those reported as positively significant by most studies; however, some evidence suggests an opposite association or no association for certain factors.

https://doi.org/10.1371/journal.pone.0342140.g002

Anxiety symptoms.

Several socio-demographic factors were associated with increased anxiety symptoms. Among middle-aged and older adults, greater age was associated with higher anxiety symptoms in two out of eight studies that looked at age as an associated factor [19,23] and female sex in five out of eight studies examining sex [19,22,23,30,31]. Regarding socio-economic factors: lower education status in two out of four studies assessing education status [23,33]; being unemployed in one out of three studies assessing employment status [23]; and having high income in two out of three studies assessing income were positively associated with anxiety symptoms [19,33]. For COVID-19-related factors, one study [23] identified pandemic severity as an associated factor for anxiety symptoms. Finally, comorbidities [19,22,23] and decreased physical activity [19,22] were reported as associated factors for change in anxiety symptoms. Social isolation/less social contact [22,24,31], poor sleep [31], hopelessness [19], and neurotic personality traits [24] were found to be associated with a change in anxiety symptoms (Fig 2 and S2 Table).

Loneliness.

During the COVID-19 pandemic, the change in loneliness was influenced by a complex interplay of factors. Three out of eight studies examining age reported that a change in loneliness increases with age among middle-aged and older adults [23,24,55]. Six out of nine studies assessing sex reported a higher increase in loneliness in women [23,30,37,50,53,55]. One study reported being white as a associated protective factor against loneliness [53]. Residency in a rural area was negatively associated with the increase in loneliness in two out of four studies assessing rurality [50,51]. Regarding socio-economic factors, higher education was associated with increased loneliness in two out of five studies assessing education status [50,51]; and unemployment was linked to increased loneliness in three out of four studies assessing employment status [23,51,55]. For COVID-19-related factors, two studies found infection status to be associated with increased loneliness [37,49]. For health-related factors, comorbidities [23,50,55] and self-reported poor health [49] were associated with loneliness. Limited physical activity was associated with increased loneliness in two studies [24,55]. Living alone was consistently associated with increased loneliness in nine studies [23,37,4850,53,55,56], whereas social isolation and reduced social contact were strongly associated with increased loneliness in five out of six studies examining social isolation [23,24,49,50,56]. Finally, other factors such as depression [50,53,56], mastery [24], and neuroticism [24] were also found to be associated with increased loneliness in one study (Fig 2 and S3 Table).

Other outcomes.

One study that looked at psychological well-being highlighted that regular physical activity, particularly walking and home training, significantly contributed to positive changes in psychological well-being. There was one study that reported factors related to differences in distress levels during the pandemic [60]. The study reported non-significant results for demographic, chronic condition, and behavioral factors. Social isolation, frailty, multimorbidity, and lower community-level social support were, however, associated with higher distress levels [60] (Fig 2).

Discussion

This scoping review summarizes the findings from 44 studies that were published between December 2020 and September 2025; and measured changes in various mental health outcomes, including depressive symptoms, anxiety symptoms, stress, distress, loneliness, and well-being among middle-aged and older adults across different phases of the pandemic.

Overall, the COVID-19 pandemic had a significant negative impact on mental health outcomes. Most studies reported an increase in depressive symptoms, anxiety symptoms, loneliness, stress, and distress, and a decrease in well-being during the global spread and response phase of the pandemic for middle-aged and older adults. Depressive symptoms emerged as one of the most affected outcomes, followed by anxiety symptoms and loneliness. This aligns with broader narratives of pandemic disruptions [61]. By the transition to the endemic phase, although one study showed an increase in depressive and anxiety symptoms in 2022 [46], other evidence suggests improvement in overall mental health outcomes, implied by declining prevalence of depressive symptoms [11,26], decline in stress [46], and stabilized anxiety symptoms [11]. This contrasts with the narrative suggesting that the impact of COVID-19 on mental health outcomes is likely to persist even after the pandemic has officially ended [62]. However, limitations exist due to the paucity of research at the end of the pandemic, potentially reflecting a shift in research priorities toward other health problems. More recent assessments might still be unpublished or in progress. It is also important to note that observed changes in mental health over time could also be influenced by mortality among high-risk individuals. However, direct evidence on this issue remains extremely limited.

The substantial heterogeneity in results may be attributable to differences in countries and study designs. Across countries, increases in mental health problems were reported in many settings, including Canada, the United Kingdom, Germany, Japan, Korea, the Faroe Islands, Bangladesh, the Netherlands, Austria, Finland, Chile, and Italy. For example, the majority of Canadian, European, and Asian (excluding China) studies reported worsening mental health outcomes [1921,23,24,26,28,33,42,44,48,50]. In contrast, studies from the United States and China showed more heterogeneous findings, with some reporting increases [32,51,53,54,59,60], and others reporting decreases or no significant changes [34,36,38,39,45,46]. Outside this region, the study from Brazil reported a decrease in loneliness during the pandemic period [56], and New Zealand showed no significant change [40]. Differences in study design may also explain variation in findings. Most longitudinal studies reported increases in mental health symptoms [20,21,24,26,28,32,33,42,44,50,54]; however, some studies observed stable or decreased symptoms [34,36,3840,45,46,56]. In contrast, all included cross-sectional studies showed increases in mental health symptoms during the pandemic; however, interpretation is generally limited because these studies often rely on comparisons with recalled pre-pandemic status [19,23,31,43,48,51,53,55]. Overall, the direction and magnitude of changes were not uniform across countries or study designs. The variation suggests that the impact of the pandemic on mental health was influenced not only by the occurrence of COVID-19 itself but also by contextual factors like countries and study design.

This also underscores the importance of considering individual and population-level factors when interpreting changes in various mental health outcomes. Key individual-level factors associated with increases in different mental health outcomes included female sex, older age, being married, lower education, unemployment, higher income, poor health, higher perceived threat of COVID-19, low physical activity, and social isolation/lack of social support. There were similarities and differences among these common factors compared with other reviews that examined prevalence but not change over time in mental health [1315]. Similarities include identification of female sex, social isolation, poor health/comorbidities, and unemployment as associated factors. However, differences emerged, as most studies included in our review identified higher income as an associated factor for changes in mental well-being. In contrast, in two other reviews, lower income was identified as an associated factor for the prevalence of poor mental health outcomes [13,15]. This discrepancy may reflect differences in study focus, as our review emphasizes changes over time, where individuals with higher income may have experienced greater relative declines during the pandemic, compared to the other reviews that emphasize prevalence, where lower-income groups consistently face higher absolute risk. Further, the studies included in our reviews did not support an association between the COVID-19 infection status and changes in depressive symptoms and anxiety symptoms, despite this factor being associated with various mental health outcomes in prevalence-related studies [6365]. Thus, infection status might have impacted acute mental health, but in the longer term, the mental health of middle-aged and older adults appears to be more influenced by broader pandemic-related factors such as pandemic severity, stressors of COVID-19, and government response to COVID-19 rather than the infection status itself. However, there were limited studies examining the effects of pandemic-related factors on changes in mental health outcomes.

Further, available evidence has measured mental health changes only up to two years into the pandemic, which may be insufficient to measure the long-term mental health impact of the pandemic. Evidence from other epidemics, such as SARS-CoV-1, shows that depressive symptoms, anxiety symptoms, and PTSD can persist for many years, with studies reporting effects up to 12 years [6668]. Similarly, in other public health crises, such as Hurricane Katrina in the US, a study showed that survivors experience persistent distress and stress symptoms up to 12 years later [69]. These examples show that the mental health effects of public health crises like pandemics or disasters often last long after the event is over, highlighting the importance of longer and more sophisticated studies to better understand and support people at risk of worsening mental health outcomes related to COVID-19.

Strengths and limitations

The significant contribution of this scoping review is that it summarizes the available evidence on changes in mental health outcomes of middle-aged and older adults. To our knowledge, this is the first review that exclusively focused on changes in mental health outcomes of middle-aged and older adults rather than just the prevalence of these outcomes during the pandemic. Focusing on changes in mental health outcomes offers a clearer understanding of the actual impact of the pandemic on mental health. Another strength of this study is that we summarized the changes in different outcomes across all three phases of the pandemic, considering the dynamic nature of the pandemic. This review also employed a comprehensive search strategy across multiple databases, ensuring broad coverage of relevant literature. Additionally, careful and systematic data extraction was conducted to maintain accuracy and consistency. The summary of findings by specific domains of mental health further enhances the clarity and utility of this study.

Findings from this review should be interpreted considering the following limitations. Firstly, by only including English studies, the risk of language bias may limit the review’s scope and applicability. Secondly, this review included all literature that measured changes in mental health outcomes; thus, some studies may have been of low quality, potentially introducing bias into our findings. Thirdly, although we used depressive symptoms, anxiety symptoms, loneliness, stress, distress, and well-being scales as distinct outcome indicators for mental health, these measures may not fully capture the multifaceted nature of mental health. Another significant limitation of this scoping review is the inclusion of studies employing varied diagnostic tools and effect estimates, which complicates the synthesis of findings and may obscure the overall interpretability and comparability of the results across studies. Studies included in this review exhibit significant variability in both pre-pandemic measurement periods and follow-up periods, affecting cross-study comparability. For instance, a study by Besselaar and colleagues used data from 2011−2019 as a pre-pandemic baseline [28], whereas Amerio and colleagues relied on 2019 data for baseline measures [19], which may affect the comparability across studies. Notably, the grouping of middle-aged and older adults in several studies limits our ability to assess the distinct impact of the pandemic on each age group separately. Finally, although we aimed to examine a broader spectrum of mental health outcomes, our findings predominantly focused on depressive symptoms, anxiety symptoms, and loneliness. This limitation reflects the current state of research in the field, as these three outcomes have been the primary focus of most studies assessing changes in mental health during the COVID-19 pandemic. Future research should expand to include a broader range of mental health outcomes to provide a more comprehensive understanding of the impact of the pandemic.

In conclusion, the COVID-19 pandemic has significantly impacted the mental health of middle-aged and older adults, with notable increases in depressive symptoms, anxiety symptoms, and loneliness. Although some studies show mixed results for depressive symptoms and loneliness, most studies indicate a decline in mental health during pandemics. Although there is limited research conducted on mental health outcomes like stress, distress, and well-being, results from later stages of the pandemic also remain sparse. Additionally, the available literature fails to adequately examine population-level factors, such as pandemic cases, COVID-19 deaths, and vaccination status, which are crucial given the observed population-level impact. These research gaps represent a significant limitation in our understanding of the broader contextual mental health trends and factors associated with these changes during the COVID-19 pandemic among middle-aged and older adults, underscoring the need for continued investigation to guide policy development and form targeted strategies, such as age-specific interventions focusing on enhancing mental health, for better understanding, preparedness and managing of adverse mental health outcome among middle age and older adults during any future public health emergencies.

Supporting information

S1 Fig. Phases of COVID-19 and key events.

https://doi.org/10.1371/journal.pone.0342140.s001

(TIF)

S1 Checklist. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist.

https://doi.org/10.1371/journal.pone.0342140.s003

(DOCX)

S1 Table. Factors associated with change in depressive symptoms (n = 30 studies).

https://doi.org/10.1371/journal.pone.0342140.s004

(DOCX)

S2 Table. Factors associated with change in Anxiety Symptoms (n = 14 studies).

https://doi.org/10.1371/journal.pone.0342140.s005

(DOCX)

S3 Table. Factors associated with change in Loneliness (n = 15 studies).

https://doi.org/10.1371/journal.pone.0342140.s006

(DOCX)

References

  1. 1. Karim MZ, Al-Mamun M, Eva MA, Ali MH, Kalam A, Uzzal NI, et al. Understanding mental health challenges and associated risk factors of post-natural disasters in Bangladesh: a systematic review. Front Psychol. 2024;15:1466722. pmid:39737225
  2. 2. Ćosić K, Popović S, Šarlija M, Kesedžić I. Impact of human disasters and covid-19 pandemic on mental health: potential of digital psychiatry. Psychiatr Danub. 2020;32(1):25–31. pmid:32303026
  3. 3. The COVID-19 pandemic and continuing challenges to global health [Internet]. [cited 2025 Jul 14]. Available from: https://www.who.int/about/funding/invest-in-who/investment-case-2.0/challenges
  4. 4. Nikopoulou VA, Gliatas I, Blekas A, Parlapani E, Holeva V, Tsipropoulou V. Uncertainty, stress, and resilience during the COVID-19 pandemic in Greece. J Nerv Ment Dis. 2022;210(4):249. pmid:35349504
  5. 5. Silva C, Ferreira R, Morgado B, Alves E, Fonseca C. Depression, loneliness and quality of life in institutionalised and non-institutionalised older adults in Portugal: a cross-sectional study. Nurs Rep. 2024;14(3):2340–54. pmid:39311182
  6. 6. Liu J, Gou RY, Jones RN, Schmitt EM, Metzger E, Tabloski PA, et al. Association of loneliness with change in physical and emotional health of older adults during the COVID-19 shutdown. Am J Geriatr Psychiatry. 2023;31(12):1102–13. pmid:37940227
  7. 7. Raina P, Wolfson C, Griffith L, Kirkland S, McMillan J, Basta N, et al. A longitudinal analysis of the impact of the COVID-19 pandemic on the mental health of middle-aged and older adults from the Canadian Longitudinal Study on Aging. Nat Aging. 2021;1(12):1137–47. pmid:37117519
  8. 8. Kobayashi LC, O’Shea BQ, Kler JS, Nishimura R, Palavicino-Maggio CB, Eastman MR, et al. Cohort profile: the COVID-19 Coping Study, a longitudinal mixed-methods study of middle-aged and older adults’ mental health and well-being during the COVID-19 pandemic in the USA. BMJ Open. 2021;11(2):e044965. pmid:33568377
  9. 9. Krishna Mohan S, Siddiqui Y, Satyamitra M, Siddiqui S, Waheeb Saeed Alhamdi H, Ahmed Alghamdi H. Recent chronology of COVID-19 pandemic. Front Public Health. 2022;10:778037. pmid:35602161
  10. 10. Archived: WHO Timeline - COVID-19 [Internet]. [cited 2025 Mar 10]. Available from: https://www.who.int/news/item/27-04-2020-who-timeline---covid-19
  11. 11. Gerhards SK, Pabst A, Luppa M, Riedel-Heller SG. Depressive and anxiety symptoms during the COVID-19 pandemic in the oldest-old population and the role of psychosocial factors: a multivariate and multi-wave analysis. Front Public Health. 2023;11:1229496. pmid:38192565
  12. 12. Schäfer SK, Lindner S, Kunzler AM, Meerpohl JJ, Lieb K. The mental health impact of the COVID-19 pandemic on older adults: a systematic review and meta-analysis. Age Ageing. 2023;52(9):afad170. pmid:37725975
  13. 13. Lau J, Koh W-L, Ng JS, Khoo AM-G, Tan K-K. Understanding the mental health impact of COVID-19 in the elderly general population: a scoping review of global literature from the first year of the pandemic. Psychiatry Res. 2023;329:115516. pmid:37797442
  14. 14. Ciuffreda G, Cabanillas-Barea S, Carrasco-Uribarren A, Albarova-Corral MI, Argüello-Espinosa MI, Marcén-Román Y. Factors associated with depression and anxiety in adults ≥60 years old during the COVID-19 pandemic: a systematic review. Int J Environ Res Public Health. 2021;18(22):11859. pmid:34831615
  15. 15. Silva C, Fonseca C, Ferreira R, Weidner A, Morgado B, Lopes MJ, et al. Depression in older adults during the COVID-19 pandemic: a systematic review. J Am Geriatr Soc. 2023;71(7):2308–25. pmid:37029710
  16. 16. Rivera-Torres S, Mpofu E, Keller M, Ingman S. Older adults’ mental health through leisure activities during COVID-19: a scoping review. Gerontol Geriatr Med. 2021.
  17. 17. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.
  18. 18. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73. pmid:30178033
  19. 19. Amerio A, Stival C, Lugo A, Fanucchi T, d’Oro LC, Iacoviello L. COVID-19 pandemic impact on mental health in a large representative sample of older adults from the Lombardy region, Italy. J Affect Disord. 2023;325:282–8. pmid:36627059
  20. 20. Briggs R, McDowell CP, De Looze C, Kenny RA, Ward M. Depressive symptoms among older adults pre– and post–COVID-19 pandemic. J Am Med Dir Assoc. 2021;22(11):2251–7.
  21. 21. Cabib I, Olea-Durán B, Villalobos Dintrans P, Browne Salas J. Long-term functional ability trajectories and mental health among older people before and after the COVID-19 pandemic onset in Chile. Aging Ment Health. 2023;27(8):1534–43. pmid:36907589
  22. 22. Creese B, Khan Z, Henley W, O’Dwyer S, Corbett A, Da Silva MV. Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020. Int Psychogeriatr. 2021;33(5):505–14. pmid:33327988
  23. 23. Győri Á. The impact of social-relationship patterns on worsening mental health among the elderly during the COVID-19 pandemic: evidence from Hungary. SSM Popul Health. 2023;21:101346. pmid:36712146
  24. 24. Holwerda TJ, Jaarsma E, van Zutphen EM, Beekman ATF, Pan K-Y, van Vliet M, et al. The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands. Soc Psychiatry Psychiatr Epidemiol. 2023;58(7):1109–20. pmid:36964770
  25. 25. Jeong K-H, Ryu JH, Lee S, Kim S. Changes in depression trends during and after the COVID-19 pandemic among older adults in Korea. Glob Ment Health (Camb). 2024;11:e14. pmid:38390249
  26. 26. Pynnönen K, Kokko K, Siltanen S, Portegijs E, Lindeman K, Rantanen T. Resiliency amid the COVID-19 pandemic: engagement in meaningful activities as a mediator between coping ability and depressive symptoms among older adults. Aging Ment Health. 2025;29(3):514–22. pmid:39282859
  27. 27. Segerstrom SC, Crosby P, Witzel DD, Kurth ML, Choun S, Aldwin CM. Adaptation to changes in COVID-19 pandemic severity: across older adulthood and time scales. Psychol Aging. 2023;38(6):586–99. pmid:36951696
  28. 28. van den Besselaar JH, MacNeil Vroomen JL, Buurman BM, Hertogh CMPM, Huisman M, Kok AAL, et al. Symptoms of depression, anxiety, and perceived mastery in older adults before and during the COVID-19 pandemic: results from the Longitudinal Aging Study Amsterdam. J Psychosom Res. 2021;151:110656. pmid:34741872
  29. 29. Wettstein M, Nowossadeck S, Vogel C. Well-being trajectories of middle-aged and older adults and the corona pandemic: no “COVID-19 effect” on life satisfaction, but increase in depressive symptoms. Psychol Aging. 2022;37(2):175–89. pmid:34968101
  30. 30. Zaninotto P, Iob E, Demakakos P, Steptoe A. Immediate and longer-term changes in the mental health and well-being of older adults in england during the COVID-19 pandemic. JAMA Psychiatry. 2022;79(2):151–9. pmid:34935862
  31. 31. Robb CE, de Jager CA, Ahmadi-Abhari S, Giannakopoulou P, Udeh-Momoh C, McKeand J, et al. Associations of social isolation with anxiety and depression during the early COVID-19 pandemic: a survey of older adults in London, UK. Front Psychiatry. 2020;11:591120. pmid:33132942
  32. 32. Greenwood-Hickman MA, Shapiro LN, Chen S, Crane PK, Harrington LB, Johnson K, et al. Understanding resilience: Lifestyle-based behavioral predictors of mental health and well-being in community-dwelling older adults during the COVID-19 pandemic. BMC Geriatr. 2024;24(1):676. pmid:39134929
  33. 33. Wister A, Li L, Best JR, Cosco TD, Kim B. Multimorbidity, COVID-19 and mental health: Canadian longitudinal study on aging (CLSA) longitudinal analyses. Clin Gerontol. 2023;46(5):729–44. pmid:35797007
  34. 34. Chen X, Zhang L, Duan X, Zhou X, Zhang Y. Trajectories of depressive symptoms across different age groups from adolescence to old age before and during the COVID-19 pandemic: a national household survey in China. J Affect Disord. 2025;381:635–42. pmid:40203972
  35. 35. Musbat S, Reuveni I, Magnezi R. Improvements in mental health associated with increased electronic communication and deterioration in physical health in adults aged 50+ during the COVID-19 pandemic. Front Public Health. 2024;12:1369707. pmid:38975353
  36. 36. Ang S. Changing relationships between social contact, social support, and depressive symptoms during the COVID-19 pandemic. J Gerontol B Psychol Sci Soc Sci. 2022;77(9):1732–9. pmid:637845647
  37. 37. Wester CT, Bovil T, Scheel-Hincke LL, Ahrenfeldt LJ, Möller S, Andersen-Ranberg K. Longitudinal changes in mental health following the COVID-19 lockdown: results from the Survey of Health, Ageing, and Retirement in Europe. Ann Epidemiol. 2022;74:21–30. pmid:35660005
  38. 38. Zhu AYF, Chou KL. Depression among older adults before and during the pandemic: follow-up assessment of a three-wave longitudinal observation. Curr Psychol. 2024;43(18):16544–53.
  39. 39. Xu S, Wang H, Song Q, Burr JA. Sensory impairment and depressive symptoms among older adults before and during the COVID-19 pandemic. Aging Ment Health. 2024;28(1):112–20. pmid:37551091
  40. 40. McLean T, Williams M, Stephens C. How did the depression and anxiety levels of older New Zealanders change during the COVID-19 pandemic? Psychol Health Med. 2025;30(2):209–20. pmid:39832527
  41. 41. Wang J, Spencer A, Hulme C, Corbett A, Khan Z, Da Silva MV, et al. Healthcare utilisation, physical activity and mental health during COVID-19 lockdown: an interrupted time-series analysis of older adults in England. Eur J Ageing. 2022;19(4):1617–30. pmid:36467547
  42. 42. Wister A, Li L, Levasseur M, Kadowaki L, Pickering J. The effects of loneliness on depressive symptoms among older adults during COVID-19: longitudinal analyses of the Canadian longitudinal study on aging. J Aging Health. 2023;35(5–6):439–52. pmid:36383045
  43. 43. Mistry SK, Ali AM, Yadav UN, Huda MN, Khanam F, Kundu S. Change in prevalence over time and factors associated with depression among Bangladeshi older adults during the COVID-19 pandemic. Psychogeriatrics. 2023;23(2):230–42. pmid:36584687
  44. 44. Mayerl H, Stolz E, Freidl W. Trajectories of loneliness, depressive symptoms, and anxiety symptoms during the COVID-19 pandemic in Austria. Public Health. 2022;212:10–3. pmid:36174437
  45. 45. Fields EC, Kensinger EA, Garcia SM, Ford JH, Cunningham TJ. With age comes well-being: older age associated with lower stress, negative affect, and depression throughout the COVID-19 pandemic. Aging Ment Health. 2022;26(10):2071–9. pmid:34915781
  46. 46. Elliott MR, Charles ST, Holman EA, Garfin DR, Silver RC. Psychological distress across 2 years of the COVID-19 pandemic differs by age and by race/ethnicity. J Trauma Stress. 2025;38(4):606–17.
  47. 47. Asada Y, Grignon M, Hurley J, Stewart SA, Smith NK, Kirkland S. Trajectories of the socioeconomic gradient of mental health: results from the CLSA COVID-19 Questionnaire Study. Health Policy. 2023;131. pmid:36924671
  48. 48. Stolz E, Mayerl H, Freidl W. The impact of COVID-19 restriction measures on loneliness among older adults in Austria. Eur J Public Health. 2021;31(1):44–9. pmid:33338225
  49. 49. Richardson CD, Roscoe H, Green E, Brooks R, Barnes L, Matthews FE, et al. Impact of COVID-19 policies on perceptions of loneliness in people aged 75 years and over in the cognitive function and aging study (CFAS II). J Am Geriatr Soc. 2023;71(2):463–73. pmid:36370425
  50. 50. Kirkland SA, Griffith LE, Oz UE, Thompson M, Wister A, Kadowaki L, et al. Increased prevalence of loneliness and associated risk factors during the COVID-19 pandemic: findings from the Canadian Longitudinal Study on Aging (CLSA). BMC Public Health. 2023;23(1). pmid:37170234
  51. 51. Fuller HR, Huseth-Zosel A. Older adults’ loneliness in early COVID-19 social distancing: implications of rurality. J Gerontol B Psychol Sci Soc Sci. 2022;77(7):e100–5. pmid:33928371
  52. 52. Eliasen EH, Weihe P, Petersen MS. The Faroese Septuagenarians cohort: a comparison of well-being before and during the COVID-19 pandemic among older home-dwelling Faroese. Scand J Public Health. 2022;50(1):136–43. pmid:34727762
  53. 53. Dhakal U, Koumoutzis A, Vivoda JM. Better together: social contact and loneliness among U.S. older adults during COVID-19. J Gerontol B Psychol Sci Soc Sci. 2023;78(2):359–69. pmid:36112389
  54. 54. Compernolle EL, Finch LE, Hawkley LC, Cagney KA. Home alone together: differential links between momentary contexts and real-time loneliness among older adults from Chicago during versus before the COVID-19 pandemic. Soc Sci Med. 2022;299:114881. pmid:35278830
  55. 55. Arpino B, Mair CA, Quashie NT, Antczak R. Loneliness before and during the COVID-19 pandemic-are unpartnered and childless older adults at higher risk? Eur J Ageing. 2022;19(4):1327–38. pmid:35875688
  56. 56. Braga L de S, Moreira B de S, Torres JL, Andrade AC de S, Lima ACL, Vaz CT, et al. A decreased trajectory of loneliness among Brazilians aged 50 years and older during the COVID-19 pandemic: ELSI-Brazil. Cad Saude Publica. 2023;38(11):e00106622. pmid:36921186
  57. 57. Hansen T, Nilsen TS, Yu B, Knapstad M, Skogen JC, Vedaa Ø, et al. Locked and lonely? A longitudinal assessment of loneliness before and during the COVID-19 pandemic in Norway. Scand J Public Health. 2021;49(7):766–73. pmid:33645336
  58. 58. Ejiri M, Kawai H, Kera T, Ihara K, Fujiwara Y, Watanabe Y, et al. Exercise as a coping strategy and its impact on the psychological well-being of Japanese community-dwelling older adults during the COVID-19 pandemic: a longitudinal study. Psychol Sport Exerc. 2021;57:102054. pmid:34512181
  59. 59. Wang Y, Fu P, Li J, Gao T, Jing Z, Wang Q, et al. Community-level social support to mitigate the impact of combined frailty and multimorbidity on psychological distress among rural Chinese older adults during the COVID-19 pandemic: multilevel modeling study. JMIR Public Health Surveill. 2023;9:e43762. pmid:36811848
  60. 60. Li J, Li J, Yan C, Yang S, Li Z, Li W, et al. Social isolation transitions and psychological distress among older adults in rural China: a longitudinal study before and during the COVID-19 pandemic. J Affect Disord. 2022;308:337–42. pmid:35447223
  61. 61. Sharma S, Qian W, Acharya Kumar B, Kunwar D. Psychological status of Nepalese young adults during the end of first wave of COVID-19 pandemic. J Nepal Health Res Counc [Internet]. 2022 [cited 2024 Oct 1];20(54):166–72. Available from: https://elibrary.nhrc.gov.np/bitstream/20.500.14356/1032/1/3922-Manuscript-28199-1-10-20220621.pdf
  62. 62. Adorjan K, Stubbe HC. Insight into the long-term psychological impacts of the COVID-19 pandemic. Eur Arch Psychiatry Clin Neurosci. 2023;273(2):287–8. pmid:36971863
  63. 63. Paccagnella O, Pongiglione B. Depression deterioration of older adults during the first wave of the COVID-19 outbreak in Europe. Soc Sci Med. 2022;299:114828. pmid:35313142
  64. 64. Röhr S, Reininghaus U, Riedel-Heller SG. Mental wellbeing in the German old age population largely unaltered during COVID-19 lockdown: results of a representative survey. BMC Geriatr. 2020;20(1):489. pmid:33225912
  65. 65. Sujiv A, Kalaiselvi S, Tiwari MK, Deshmukh P. Social isolation, social support, and psychological distress among the elderly during the COVID-19 pandemic: a cross-sectional study from central India. Indian J Public Health. 2022;66(4):451–7. pmid:37039173
  66. 66. Tzeng N-S, Chung C-H, Chang C-C, Chang H-A, Kao Y-C, Chang S-Y, et al. What could we learn from SARS when facing the mental health issues related to the COVID-19 outbreak? A nationwide cohort study in Taiwan. Transl Psychiatry. 2020;10(1):339. pmid:33024072
  67. 67. Lam MH-B, Wing Y-K, Yu MW-M, Leung C-M, Ma RCW, Kong APS, et al. Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: long-term follow-up. Arch Intern Med. 2009;169(22):2142–7. pmid:20008700
  68. 68. Mak IWC, Chu CM, Pan PC, Yiu MGC, Chan VL. Long-term psychiatric morbidities among SARS survivors. Gen Hosp Psychiatry. 2009;31(4):318–26. pmid:19555791
  69. 69. Raker EJ, Lowe SR, Arcaya MC, Johnson ST, Rhodes J, Waters MC. Twelve years later: the long-term mental health consequences of Hurricane Katrina. Soc Sci Med. 2019;242:112610. pmid:31677480