Cognitive and Psychosocial Effects in Elderly During COVID-19

Commonalities and Specificities in Cognitive and Psychosocial Effects in the Elderly Population During COVID-19 Lockdown in Inúbia Paulista-SP and Ribeirão Preto-SP, Brazil, in 2020-2022

Mario Angelo Cenedesi Júnior¹, Renata Trivelato Felício Cenedesi², Priscila Castro Cordeiro Fernandes³, Gerusa Tomáz Faria⁴, Arlete do Monte Massari Malta⁵, Silvia Elena Voulilat⁶

  1. Sanitary Physician, Ph.D. in Public Health from Universidade de Ciências Empresariales y Sociales (UCES), Argentina. Visiting Professor at UCES. Neuropsychopedagogue. Master’s in Pedagogical Supervision from Universidade Aberta de Portugal.
  2. Nurse, Ph.D. student in Public Health at Universidade de Ciência Empresariales y Sociales (UCES), Argentina.
  3. Nurse, Ph.D student in Public Health at Universidade de Ciências Empresariales y Sociales (UCES), Argentina.
  4. Physician, Ph.D. student in Public Health at Universidade de Ciências Empresariales y Sociais (UCES), Argentina.
  5. Psychologist from Universidad de Buenos Aires (UBA), Ph.D. in Public Health from Universidade de Ciências Empresariales y Sociales (UCES), Argentina. Professor and Coordinator of the Doctorate in Public Health at UCES.

OPEN ACCESS

PUBLISHED: 30 September 2024

CITATION: Cenedesi Júnior, M.A., Felício Cenedesi, R.T., et al., 2024. Commonalities and Specificities in Cognitive and Psychosocial Effects in the Elderly Population During COVID-19 Lockdown in Inúbia Paulista-SP and Ribeirão Preto-SP, Brazil, in 2020-2022. Medical Research Archives, [online] 12(9).
https://doi.org/10.18103/mra.v12i9.5766

COPYRIGHT: © 2024 European Society of Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI https://doi.org/10.18103/mra.v12i9.5766

ISSN 2375-1924

ABSTRACT

Background: The COVID-19 pandemic has profoundly altered the routine of the Brazilian population, significantly affecting mental health, especially among the elderly, a growing demographic. Therefore, understanding these characteristics is crucial to improving health services.

Aims: To describe and analyze the cognitive (ability to calculate, identify one’s own and others’ emotions, linguistic skills, attention, concentration, and memory) and psychosocial (sense of humor, feeling of loneliness, fear, worry, and relationships with the environment) effects in individuals over 60 years old in the cities of Inúbia Paulista-SP and Ribeirão Preto-SP, Brazil, during the COVID-19 lockdown between 2020 and 2022.

Methodology: This was a basic, observational, cross-sectional, descriptive-analytical study with a mixed approach. It evaluated 674 elderly individuals (257 in Inúbia Paulista-SP and 417 in Ribeirão Preto-SP, Brazil) using an AD-HOC questionnaire with 46 questions in the last quarter of 2022. The questionnaire covered sociodemographic profile, functionality, cognitive and psychosocial effects, and use of mental health services, excluding health professionals and individuals with severe neurological or psychiatric conditions.

Results: The majority of participants were female. Functionality was similar in both cities, with approximately half of the participants declaring independence and the other half partial dependence, with few declaring total dependence. In Inúbia Paulista, women had a 17% higher probability of having chronic diseases (p=0.003), whereas no such association was found in Ribeirão Preto. Cognitive effects were higher in Ribeirão Preto, while Inúbia Paulista showed greater psychosocial effects. In Inúbia Paulista, there was a positive association between gender and cognitive effects (p<0.05), with females being more affected. In Ribeirão Preto, there was a significant association between COVID-19 exposure and cognitive effects (p<0.001), as well as between chronic diseases and cognitive effects. Both cities showed a significant association between functionality and cognitive/psychosocial effects (p<0.001), with dependents being more affected. Although nearly all participants had contact during the lockdown, most experienced loneliness. Only 5% acknowledged the need for mental health services.

Conclusion: Despite differences between cities, identifying common aspects is crucial for developing specific public mental health policies for the elderly, thereby improving their quality of life through prevention and health promotion.

Keywords: COVID-19; elderly; social lockdown; functionality; public health

 

Introduction

On January 30, 2020, the World Health Organization (WHO) declared that the outbreak of a new coronavirus (named COVID-19) constituted a Public Health Emergency of International Concern, the highest level of alert from the Organization according to the International Health Regulations (WHO website)¹,². This decision aimed to enhance global coordination, cooperation, and solidarity to stop the spread of the virus.

Thus, the WHO declared the pandemic of the new coronavirus on March 11, 2020, by which point the disease had already reached 114 countries and infected 118,000 people, with 4,291 deaths³. It is important to highlight that the contemporary, globalized world is characterized (from an integration perspective) by increased flows of people, goods, capital, and services; technical networks of spaces are increasingly compressed by time, that is: biopolitics, a term used by philosopher Paul Preciado, which indicates that the same globalization that integrates ends up fragmenting and producing selectivity in the most present flows⁴,⁵.

In addition to this, nosophobia or the fear of contracting the disease adds to the situation, affecting both healthcare professionals and the general population, particularly those over 60 years old, characterized by a recurrent and persistent fear, unlike hypochondria, which not only presents physical symptoms but also cognitive, emotional, and behavioral symptoms, with a sense of insecurity in many aspects of life, from individual to collective perspectives, from the everyday functioning of society to changes in interpersonal relationships⁶.

In line with the aforementioned, the health systems of countries have collapsed, healthcare professionals have become exhausted from long hours of work, and one of the most effective methods to control the disease, which is social distancing, has a considerable impact on the mental health of the population⁷,⁸.

Adding to this is confinement, which can trigger numerous other emotional, psychosocial, and cognitive effects, such as feelings of sadness, confusion about the notion of time and space, memory loss, mental laziness, irritability with oneself and with those one lives with, difficulty sleeping, loss of appetite, mood swings, and stress⁹.

Studies show that around 30% of people had some common mental health disorder (non-disabling) before the pandemic began – a number that rose to over 40% during the pandemic, according to the WHO, and could reach up to 50% after it, representing a significant public health problem (both currently and especially in the coming years)¹⁰.

Aging, once considered an isolated phenomenon, is now part of the reality of most societies. The world is aging. It is so true that it is estimated that by 2050 there will be around two billion people aged sixty and over in the world, most of them living in developing countries such as Brazil. According to WHO, by 2030 this population will be larger than those aged 0 to 14, thus becoming the fourth largest elderly population globally¹¹.

The greatest challenge in caring for the elderly is contributing to the fact that, despite the progressive limitations that may occur, possibilities can be rediscovered and they can live their own lives with the highest possible quality. This possibility increases as society considers the family and social context and recognizes the potential and value of older people. Therefore, part of the difficulties faced by the elderly is more related to a [de]culture that devalues and limits them¹².

In this sense, this article aims to present the cognitive and psychosocial factors experienced by elderly individuals over 60 years old, in the context of the COVID-19 pandemic, in two geographically distinct cities in the interior of São Paulo, Brazil, with the objective of describing both common and idiosyncratic characteristics for the reformulation (or even formulation) of specific public policies on this issue.

Methodology

This study is an academic and scientific work of a basic nature, observational, with epidemiological analysis, descriptive-analytical (descriptive correlational) objective, cross-sectional design, and a mixed method (qualitative-quantitative) approach involving individuals over 60 years old in the cities of Inúbia Paulista-SP and Ribeirão Preto-SP, Brazil, in the last quarter of 2022.

Inúbia Paulista-SP has approximately 3,800 inhabitants, with 725 elderly individuals, while Ribeirão Preto-SP has around 710,000 inhabitants, with 113,652 elderly individuals. Thus, the sample size for each municipality was calculated, resulting in a sample of 257 elderly individuals from Inúbia Paulista-SP and 417 elderly individuals from Ribeirão Preto-SP (with a 95% confidence level and a 5% margin of error).

Inclusion criteria included individuals aged 60 years or older (from March 11, 2020, the start date of the COVID-19 pandemic), who had or had not contracted COVID-19, and were in physical and mental conditions to answer the surveys. Exclusion criteria were individuals under 60 years old as of March 11, 2020, elderly individuals who are healthcare professionals, those in institutionalized situations, or those with neurological/psychological conditions that would prevent them from answering the survey due to cognitive issues (they could have a mild preexisting physical and/or mental condition but not to the extent that it would prevent them from completing the survey), and those who did not consent to sign the Informed Consent Form.

An interview was conducted (where participants had their questions about the Informed Consent Form answered before signing it) and four questionnaires with 46 questions were administered. These questionnaires assessed sociodemographic characteristics (1), the application of the Lawton and Brody Index (a validated and adapted instrument for the Brazilian reality), evaluating the elderly individual’s ability to perform instrumental activities of daily living, and their degree of independence and autonomy (2); a semi-structured subquestionnaire titled “Cognitive and Psychosocial Effects of Confinement in Elderly People,” an instrument already validated by the Fundación Salut i Envelliment of the Universitat Autònoma de Barcelona, Spain, adapted to the Brazilian context, with 24 questions, mostly with Likert scale responses, specifically evaluating the potential cognitive and psychosocial effects on the elderly in the context of the COVID-19 pandemic (3); and an evaluation of follow-up with any mental health services (4).

Finally, responses were automatically organized and stored in Microsoft Excel spreadsheets, with statistical analyses performed using Jamovi® software. The Kolmogorov-Smirnov test was used to determine the parametricity of quantitative data (n > 20), showing abnormal distribution.

There are no conflicts of interest declared by the authors of this work. This research was approved by the Municipal Health Secretariats of Inúbia Paulista-SP and Ribeirão Preto-SP and submitted to Plataforma Brasil (a governmental platform that manages research involving human subjects). The CONEP (National Ethics Committee in Research) selected the Ethics Committee of the Centro Universitário Barão de Mauá, Ribeirão Preto-SP, which reviewed and approved this work, as evidenced by the CAAE code 55625822.2.0000.5378, opinion number 5.588.847, dated August 18, 2022.

Results

Regarding gender, Inúbia Paulista-SP reported 59.53% of the sample identifying as female and 40.46% as male, while Ribeirão Preto-SP reported 56.11% female and 43.88% male.

In terms of chronic illnesses, Inúbia Paulista-SP reported that 70.03% of the sample declared having such illnesses and 29.96% denied, while Ribeirão Preto-SP reported 66.90% with chronic illnesses and 33.10% denying. In both municipalities, the main chronic illnesses are cardiovascular, followed by endocrine and musculoskeletal conditions.

When it comes to COVID-19 infection, the Inúbia Paulista-SP sample reported “YES” in 38.91% (with “NO” in 61.08%), and in Ribeirão Preto-SP, 33.10% answered “YES” (with “NO” in 66.90%). Regarding vaccination, 92.60% of the Inúbia Paulista-SP sample reported having completed the vaccination scheme in 2021, and 84.43% in 2022; 88.72% in Ribeirão Preto-SP, and 84.17% in 2022. These results, presented so far, are summarized in Table 1.

Table 1 – Gender, presence of chronic illnesses, COVID-19 infection, and vaccination (complete scheme) in 2021 and 2022, in Inúbia Paulista-SP and Ribeirão Preto-SP

AspectInúbia Paulista-SPRibeirão Preto-SP
Gender
Female59.53%56.11%
Male40.46%43.88%
Chronic Illnesses
Has70.03%66.90%
Does not have29.96%33.10%
Main Chronic IllnessesCardiovascular, Endocrinological, MusculoskeletalCardiovascular, Endocrinological, Musculoskeletal
COVID-19 Infection
Yes38.91%33.10%
No61.08%66.90%
Vaccination (2021)
Complete scheme92.60%88.72%
Vaccination (2022)
Complete scheme84.43%84.17%

On the topic of a possible statistical association between gender and the presence of chronic diseases, the Chi-Square Test revealed a statistically significant association in the Inúbia Paulista-SP sample (p = 0.003), indicating that men are approximately 17% less likely to have a chronic disease compared to women, as shown in Table 2. In contrast, the Ribeirão Preto-SP sample did not show a significant association (p = 0.103).

Table 2 – Statistical Association between Gender and Chronic Diseases, in the Inúbia Paulista-SP Sample

GenderChronic IllnessYesNoTotalOdds Ratiop-value
FemaleObserved118351530.8260.003
Expected107.245.8153
% in Row77.1%22.9%100.0%
MaleObserved6242104
Expected72.831.2104
% in Row59.6%40.4%100.0%
Total18077257
Expected180.077.0257
% in Row70.0%30.0%100.0%

About the possible cognitive effects during the COVID-19 lockdown period, the results from the two cities were grouped here as “no” (responses given as “not at all”) and “yes” (all responses given as “a little”, “somewhat”, “quite a bit”, and “a lot”). After performing a statistical analysis of this sub-questionnaire by city, with 8 variables, the following results were found: Inúbia Paulista-SP: α of Cronbach = 0.959; Ribeirão Preto-SP: α of Cronbach = 0.970. The analysis highlights that a significant proportion of residents in both Inúbia Paulista-SP and Ribeirão Preto-SP perceive deterioration in various cognitive functions.

In Inúbia Paulista, 16.74% of participants report a decline in orientation, 19.07% perceive deterioration in memory, and 15.18% notice worsening in attention and concentration. Additionally, 17.13% feel they perform tasks more slowly, and 17.13% also have difficulties finding words and making plans. A decrease in the ability to identify emotions is perceived by 21.40% of residents, and 12.85% notice a deterioration in calculation ability. Language ability is seen as compromised by 10.12% of participants. In Ribeirão Preto, the perception of cognitive deterioration is even more pronounced. Worsening in orientation is noted by 30.70% of participants, while 32.14% perceive a decline in memory. Deterioration in attention and concentration is observed by 29.50% of residents, and 30.46% feel they perform tasks more slowly. Difficulties in finding words and making plans are reported by 30.46%, and a decrease in the ability to identify emotions is perceived by 28.30%. Additionally, 25.66% notice a decline in calculation ability, and 25.90% experience difficulties in language ability – these data are summarized in Table 3.

Table 3 – Presence of Cognitive Effects in the Populations of Inúbia Paulista-SP and Ribeirão Preto-SP, 2020-2022

Cognitive AspectInúbia Paulista (%)Ribeirão Preto (%)
Worsening in orientation16.74%30.70%
Deterioration in memory19.07%32.14%
Worsening in attention and concentration15.18%29.50%
Performing tasks more slowly17.13%30.46%
Difficulty finding words and making plans17.13%30.46%
Decreased ability to identify emotions21.40%28.30%
Deterioration in the ability to calculate12.85%25.66%
Compromised linguistic ability10.12%25.90%

In relation to a possible statistical association between gender and cognitive effects, the Mann-Whitney test was conducted. In the Inúbia Paulista-SP sample, a significant association was found in all dependent variables except for memory deterioration. Despite the statistical significance, the descriptive analysis did not show changes in the quartiles, so deciles were used, revealing that the female gender is more associated with cognitive effects in the 9th decile, as noted in Table 4. In contrast, no statistically significant association was found in the evaluated variables in Ribeirão Preto-SP.

Table 4 – Association between Gender and Cognitive Effects during the COVID-19 Pandemic in the Inúbia Paulista-SP Sample

Cognitive EffectGenderN25th50th75th90thp
Worsening in orientationFemale1531.001.001.002.000.008
Male1041.001.001.001.00
Worsening in memoryFemale1531.001.001.002.800.052
Male1041.001.001.002.00
Worsening in attention and concentrationFemale1531.001.001.002.000.010
Male1041.001.001.001.00
Performing tasks more slowlyFemale1531.001.001.002.00<.001
Male1041.001.001.001.00
Difficulty finding words and making plansFemale1531.001.001.002.000.004
Male1041.001.001.001.00
Decreased ability to identify emotionsFemale1531.001.002.003.000.002
Male1041.001.001.002.00
Worsening in the ability to calculateFemale1531.001.001.002.000.014
Male1041.001.001.001.00
Worsening in linguistic abilityFemale1531.001.001.002.000.002
Male1041.001.001.001.00

Concerning the statistical association between chronic illnesses and cognitive effects, the Mann-Whitney test showed that in Inúbia Paulista-SP, significance was found only for “memory deterioration” (p = 0.035) and “deterioration of calculation ability” (p = 0.021). In Ribeirão Preto-SP, a significant association was found in all analyzed variables (p < 0.05), as noted in Table 5.

Table 5 – Statistical Association between the Presence of Chronic Illness and Cognitive Effects in the Ribeirão Preto-SP Sample

Cognitive EffectChronic IllnessN25th50th75thp-value
Deterioration in OrientationYes2791.001.002.000.011
No1381.001.001.00
Deterioration in MemoryYes2791.001.002.000.001
No1381.001.001.00
Deterioration in Attention and ConcentrationYes1801.001.002.000.033
No771.001.001.00
Cognitive EffectChronic IllnessN25th50th75thp-value
Performing Tasks More SlowlyYes1801.001.002.00< .001
No771.001.001.00
Difficulty Finding Words and Making PlansYes1801.001.002.00< .001
No771.001.001.00
Decrease in Ability to Identify EmotionsYes1801.001.002.000.001
No771.001.001.00
Deterioration in Calculation AbilityYes1801.001.002.000.004
No771.001.001.00
Deterioration in Linguistic AbilityYes1801.001.002.000.002
No771.001.001.00

Relating to a possible association between chronic illnesses and functionality in the two samples, the Chi-square test showed statistically significant associations in both samples: Inúbia Paulista-SP (p = 0.029) and Ribeirão Preto-SP (p = 0.040), as noted in Table 6.

Table 6 – Statistical Association Between the Presence of Chronic Illness and Functionality in Older Adults in the Ribeirão Preto-SP Sample

Chronic IllnessFunctionalityPartially DependentIndependentDependentTotal
YesObserved1501272279
Expected139.2138.51.338279
% within53.8%45.5%0.7%100.0%
NoObserved58800138
Expected68.868.50.662138
% within42.0%58.0%0.0%100.0%
TotalObserved2082072417
Expected208.0207.02.000417
% within49.9%49.6%0.5%100.0%

Pertaining a possible association between functionality and cognitive effects, the results for Inúbia Paulista-SP showed a statistically significant association in all 8 assessed points (p < 0.05). The median for patients who identified as “dependent” was higher than the other medians, indicating that these patients experienced more pronounced cognitive effects. There was no significant statistical difference between the “partially dependent” and “independent” categories. The data related to this discussion for Inúbia Paulista-SP are fully presented in Table 7.

Table 7 – Statistical Association between Functionality and Cognitive Effects in the Inúbia Paulista-SP Sample

Cognitive DeclineFunctionalityN25th50th75thp
Decline in OrientationPartially Dependent1291.001.001.000.001
Independent1261.001.001.00
Dependent23.003.503.00
Decline in MemoryPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent23.253.503.75
Decline in Attention and ConcentrationPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent23.253.503.75
Performing Tasks More SlowlyPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent22.503.003.50
Difficulty Finding Words and Making PlansPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent22.503.003.50
Decrease in Ability to Identify EmotionsPartially Dependent1291.001.002.000.003
Independent1261.001.001.00
Dependent2
Decline in Calculating AbilityPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent22.003.004.00
Decline in Linguistic AbilityPartially Dependent1291.001.001.00<0.001
Independent1261.001.001.00
Dependent22.753.504.25

For Ribeirão Preto-SP, similar results were observed, with a statistically significant association in all 8 assessed points (p < 0.05). Again, the median for patients who identified as “dependent” was higher than the other medians, suggesting more pronounced cognitive effects for this group. There was no statistical difference between the “partially dependent” and “independent” categories. The data specific to Ribeirão Preto-SP are detailed in Table 8.

Table 8 – Statistical Association between Functionality and Cognitive Effects in the Ribeirão Preto-SP Sample

Cognitive DeclineFunctionalityN25th50th75thp
Decline in OrientationPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Decline in MemoryPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Decline in Attention and ConcentrationPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Performing Tasks More SlowlyPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Difficulty Finding Words and Making PlansPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Decrease in Ability to Identify EmotionsPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Decline in Calculating AbilityPartially Dependent2081.001.002.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00
Decline in Linguistic AbilityPartially Dependent2081.001.003.00<0.001
Independent2071.001.001.00
Dependent22.003.004.00

In terms of the potential psychosocial effects during the confinement period due to the COVID-19 pandemic, for ease of comparison, the results from the two cities have been grouped here as “no” (responses given in the survey as “nothing”) and “yes” (all responses given as “a little”, “somewhat”, “quite a bit”, and “a lot”), as shown in Table 9. After performing a statistical analysis of this sub-questionnaire by city, with 9 variables, the following results were found: Inúbia Paulista-SP: Cronbach’s α = 0.784; Ribeirão Preto-SP: Cronbach’s α = 0.845.

As for psychosocial effects, the data analysis from Inúbia Paulista-SP and Ribeirão Preto-SP reveals that residents of both cities experience a range of emotional and social challenges, with notable differences in perceptions between the two locations. In Inúbia Paulista, 78.60% of participants fear that their health will be affected, and 99.22% express a desire to cooperate and be supportive. Feelings of sadness due to isolation and limitation are experienced by 82.49% of residents, while 84.05% feel sad about not being able to spend time with others. Additionally, 73.54% of participants want to investigate and stay informed, and 38.52% use humor to adapt to the situation. Anxiety about the inability to predict the future is felt by 80.16%, and 70.03% suffer from loneliness or feel alone. Finally, 82.49% fear they will not be able to endure the prolonged confinement.

In Ribeirão Preto, 68.59% of participants fear that their health will be affected, and 84.90% want to cooperate and be supportive. Feelings of sadness due to isolation and limitation are experienced by 55.88% of residents, and 67.15% feel sad about not being able to share time with others. The desire to investigate and stay informed is reported by 79.14%, while 72.43% use humor to adapt. Anxiety about the inability to predict the future is felt by 62.59%, and 52.28% suffer from loneliness or feel alone. Finally, 56.11% fear they will not be able to endure the prolonged confinement—these data are presented in Table 9.

Table 9 – Presence of Psychosocial Effects in the Populations of Inúbia Paulista-SP and Ribeirão Preto-SP, 2020-2022

Psychosocial EffectInúbia Paulista-SPRibeirão Preto-SP
Fear of health being affected78.60%68.59%
Desire to cooperate and be supportive99.22%84.90%
Sadness from being isolated and restricted82.49%55.88%
Sadness from not being able to spend time with others84.05%67.15%
Desire to explore and stay informed73.54%79.14%
Use of humor to adapt38.52%72.43%
Anxiety about not being able to predict the future80.16%62.59%
Loneliness or feeling alone70.03%52.28%
Fear of not being able to endure the prolonged confinement82.49%56.11%

With respect to a potential association between functionality and psychosocial effects, Inúbia Paulista-SP did not show significant associations, except for the variable “wanted to investigate and stay informed.” In Ribeirão Preto-SP, significant associations were found in seven psychosocial effects, such as “fear of health being affected,” which was related to a higher median in the “dependent” state, and feelings of sadness, anxiety, and loneliness that were associated with a “partially dependent” state. Additionally, the use of humor showed equal and higher medians in the “independent” and “partially dependent” states. Multiple comparisons confirmed significance in the cases detected by the Kruskal-Wallis test, as shown in Table 10.

Table 10 – Statistical Association between Functionality and Psychosocial Effects in the Ribeirão Preto-SP Sample, 2020-2022

Psychosocial EffectFunctionalityN25th50th75thp
Fear of Health Being AffectedPartially Dependent2081.253.004.00<.001
Independent2071.003.003.00
Dependent22.753.504.25
Desire to Cooperate or Be SupportivePartially Dependent2083.003.004.000.069
Independent2072.003.003.00
Dependent22.252.502.75
Sadness from Being Isolated and LimitedPartially Dependent2081.002.003.00<.001
Independent2071.001.003.00
Dependent21.251.501.75
Sadness from Not Being Able to Share TimePartially Dependent2082.003.003.00<.001
Independent2071.002.003.00
Dependent21.251.501.75
Desire to Investigate and Stay UpdatedPartially Dependent2082.003.005.000.115
Independent2071.003.005.00
Dependent22.003.004.00
Using Humor to AdaptPartially Dependent2082.003.003.000.024
Independent2071.003.003.00
Dependent21.001.001.00
Anxiety About Not Being Able to Predict the FuturePartially Dependent2081.003.003.00<.001
Independent2071.002.003.00
Dependent21.251.501.75
Suffering from Loneliness or Feeling AlonePartially Dependent2081.002.003.00<.001
Independent2071.001.003.00
Dependent21.251.501.75
Fear of Not Being Able to Endure Prolonged ConfinementPartially Dependent2081.002.003.00<.001
Independent2071.001.003.00
Dependent21.001.001.00

Considering the number of people with whom the samples lived during the COVID-19 pandemic lockdown, Inúbia Paulista-SP shows that 10.89% did not live with anyone personally, while Ribeirão Preto-SP had 14.3%.

In view of staying mentally active during the COVID-19 pandemic lockdowns, the most common response in both cities’ samples was “reading (newspapers/magazines, books, tablets, phones…)” although there was a difference between the two samples: Inúbia Paulista-SP: 83.65%; Ribeirão Preto-SP: 50.60%.

Finally seeking mental health care, only 3.89% in Inúbia Paulista-SP and 7.43% in Ribeirão Preto-SP sought such care. Despite this, 84.43% in Inúbia Paulista-SP and 75.77% in Ribeirão Preto-SP do not consider it necessary to start or continue mental health follow-up, although the results suggest that more support is needed. Concerning the preparedness of mental health services, 25.29% in Inúbia Paulista-SP and 44.12% in Ribeirão Preto-SP believe they are “fully” prepared. Criticisms include a lack of professionals, poor infrastructure, insufficient materials, high demand, inadequate resources, and government corruption.

Discussion

In the two cities evaluated, more than half of the sample identified as female, with a 3.4% difference between them (p < 0.001). This pattern reflects the feminization of old age observed globally, especially in Brazil, where there are more women in the elderly population, particularly at advanced ages¹³. Women, although they live longer, often have a lower quality of life due to factors such as lower economic security and education, as well as higher rates of chronic diseases¹⁴,¹⁵. Men face vulnerabilities such as limited support networks and the need for self-care¹⁶, highlighting the importance of a gender-based approach in Active Aging policies, which promote health, safety, and continuous learning for all¹⁷,¹⁸.

About comorbidities, most samples in the evaluated cities reported chronic diseases, with prevalences similar to international studies indicating 65-75%¹⁹,²⁰,²¹,²². Non-communicable chronic diseases (NCDs) account for 70% of global deaths, with 38 million deaths annually, 16 million of which are premature, affecting mainly low- and middle-income countries²³,²⁴. In Brazil, in 2014, 10.1% of hospitalizations were due to circulatory system diseases, with a high incidence in individuals over 60²⁴,²⁵. Reducing NCDs is crucial for global development due to their high socioeconomic cost²⁶,²⁷. The study’s data align with the 2013 report from the Brazilian Ministry of Health, which shows a higher prevalence of comorbidities among women. This may be due to women seeking more medical care and living longer, accumulating more health problems. However, further research is needed to explore additional factors such as genetic and immunological aspects²⁸.

Older adults are highly vulnerable to social isolation, which can worsen their health and functionality due to reduced mobility and the effects of aging²⁹,³⁰. During the COVID-19 pandemic, lockdowns exacerbated these issues as isolation further limited their physical activity³¹. Despite this, most elderly individuals remain independent in Instrumental Activities of Daily Living (IADLs), consistent with previous studies highlighting their functionality³². Functional decline observed should not be attributed to normal aging but to common disabilities in this population³³.

In view of cognitive effects, the most frequent cognitive symptom identified in the samples from both cities was worsening memory, while the least reported symptoms were deterioration in calculation and linguistic abilities. These findings align with global literature, which also highlights memory deterioration as a common symptom among older adults³⁴,³⁵. Although the study did not assess patients’ prior neurological state, general memory worsening was observed, confirming that this mental process is often affected by multiple factors such as attention, motivation, emotional load, and lifestyle³⁶. In this context, other studies, such as those by Menze et al. (2022) and Paolini et al. (2021), also report deterioration in memory and other cognitive functions during this period. Despite differences in results based on factors such as gender and occupational activity, there is consensus that episodic and prospective memory are more vulnerable to aging, while vocabulary may improve with age³⁷,³⁸,³⁹,⁴⁰. The complexity of the relationship between aging and memory highlights the need to consider various factors in cognitive function assessment, especially in a pandemic context. Cognitive decline in older adults, which includes memory loss, judgment, and visuospatial skills, affects their independence and quality of life⁴¹. This study confirms previous findings by Machado et al. (2007) and Dourado et al. (2005), and Silva et al. (2022) reveals that COVID-19 lockdown exacerbated these effects, especially in dependent older adults, with greater impact on women and their ability to perform daily activities⁴²,⁴³,⁴⁴.

Considering the statistical association between gender and cognitive effects, as seen in Inúbia Paulista-SP, according to Kiely, Brady, and Byles (2019), older women are more likely to suffer from mental disorders compared to men, although the gender gap narrows with age⁴⁵. However, older men face higher mortality risks related to poor mental health, such as suicide, although these patterns vary by country and social context. Studies on the impact of the COVID-19 pandemic on cognitive function also show mixed results: Barber and Kim (2021) found that men experienced fewer cognitive effects during the pandemic, while Silva et al. (2021) found similar cognitive decline between genders⁴⁶,⁴⁷. Differences in these findings may be due to cultural norms, gender roles, and coping styles, but there is limited research exploring these explanations and gender dynamics in depth, especially in non-binary populations⁴⁸,⁴⁹.

About the association between cognitive effects and chronic diseases, global literature is not unanimous that patients’ chronic diseases may be related to cognitive effects that appear (or are exacerbated) during the COVID-19 lockdown—there are even few studies in this area (and those that do address the topic only consider pre-existing mental health comorbidities, not physical comorbidities). Souza Filho et al. (2021) found no statistically significant association, stating that there was no relationship between the studied variables⁵⁰. Brooks (2021) argues that there is a positive relationship between pre-existing comorbidities (in this case, mental health issues like Parkinson’s disease) and the emergence of new cognitive effects (in addition to worsening existing ones)⁵¹. Souza et al. (2021) discuss a possible relationship between comorbidities and cognitive effects but suggest that older adults with comorbidities might have lower functionality (or, at least, engage in less physical activity), indicating the need for further research in this area⁵².

With reference to psychosocial effects, social isolation during the COVID-19 pandemic has had a significant impact on the mental health of older adults, causing anxiety, sadness, and loneliness due to confinement and concerns about illness⁵³,⁵⁴,⁵⁵. Global studies have documented an increase in symptoms such as stress and depression in various regions, highlighting that loneliness and uncertainty contribute to notable emotional deterioration⁵⁶,⁵⁷,⁵⁸,⁵⁹. The pandemic has exacerbated immunological aging, intensifying older adults’ emotional vulnerability and exacerbating feelings of uselessness and anxiety⁶⁰,⁶¹. However, some studies suggest that older adults may have experienced fewer psychosocial effects than younger people, possibly due to their greater resilience and life experience⁶²,⁶³,⁶⁴. The coping capacity developed over the years might offer better emotional regulation and strategies for handling stressful events⁶⁴,⁶⁵, which could explain the observed differences in outcomes among the various studied samples.

As it pertains to the association between functionality and psychosocial effects in the two studied cities, as observed, Inúbia Paulista-SP showed a significant association only for the variable “wanted to investigate and update,” while Ribeirão Preto found important correlations with fear of health issues, sadness, and loneliness, especially in individuals with different levels of dependency. These findings underscore that the relationship between functionality and psychosocial effects may vary depending on the context and individual functionality, reinforcing the importance of considering these factors when assessing the impact of isolation. The variables “wanting to cooperate,” “investigate and stay updated,” and “using humor” did not show significant correlations in some analyses, aligning with previous studies that highlight a relationship between loneliness, anxiety, and depression⁶⁷,⁶⁸.

As observed, regarding the number of people with whom participants lived during the COVID-19 lockdown, Inúbia Paulista-SP and Ribeirão Preto-SP showed low percentages of individuals who did not live with anyone, although these results were lower than those found by Emerson (2020)⁵⁷. Despite the majority of participants in both cities reporting contact with family and friends, family remains crucial for the well-being of older adults, providing support and intimacy⁶⁹. However, loneliness and social isolation are serious issues that can affect older adults’ physical and mental health, accelerating problems such as cardiovascular diseases and mortality⁷⁰,⁷¹. Social distancing, as observed, should not be confused with loneliness, which is a deeper and more subjective experience, intensified by liquid modernity and the lack of meaningful connections⁷²,⁷³.

Regarding staying mentally active during the COVID-19 lockdown, reading was the most commonly reported activity by participants in Inúbia Paulista-SP (83.65%) and Ribeirão Preto-SP (50.60%), highlighting its importance for cognitive health by improving memory and neuronal synapses⁷⁴,⁷⁵. However, literacy remains a significant challenge, especially for older adults, with a 19.3% illiteracy rate in this population⁷⁶. Activities such as reading, manual work, and spirituality played crucial roles during lockdown, helping to maintain mental and emotional well-being, although excessive screen use and lack of physical activity were also identified as significant concerns⁷⁷,⁷⁸. Spirituality and religion provided emotional support and resilience during the pandemic, aligning with international findings on the positive impact of these practices on mental health⁷⁹,⁸⁰. Additionally, concerns about the health of loved ones and economic situations also emerged as relevant topics among older adults, highlighting the complexity of their experiences during the pandemic⁸¹.

As seen in the data presented in the Results, during the COVID-19 pandemic, only 3.89% of residents in Inúbia Paulista-SP and 7.43% in Ribeirão Preto-SP sought mental health care, while the majority in both cities, 84.43% and 75.77%, respectively, did not consider specialized follow-up necessary despite the evident need. These data align with findings from the IPSOS Institute, which indicate that although Brazil highly values mental health, 13% believe investing in these services is a waste⁸². Furthermore, the evaluation of mental health services showed that although a significant number consider the services to be “fully” prepared, criticisms include lack of professionals, inadequate infrastructure, and high demand, reflecting a widespread perception of neglect and lack of investment in the field, as also reported by Costa, Colugnati, and Ronzani (2015)⁸³.

Conclusion

During the COVID-19 pandemic, both common factors and specific issues in public policies related to mental health and elderly care were revealed, as observed in the two cities chosen for this study. On a general level, the health crisis exposed weaknesses in governmental capacity to handle emergencies and a fragmentation in policy implementation, affecting the accessibility and quality of health services⁸⁴. Despite the high valuation of mental health in Brazil, there is a notable discrepancy between the recognition of the need for specialized follow-up and the reality of insufficient resources and support⁸².

Specifically, in Inúbia Paulista-SP and Ribeirão Preto-SP, there was low uptake of mental health care during the pandemic, with only 3.89% and 7.43% of the sample, respectively, seeking such care. Most participants did not consider it necessary to initiate or continue specialized follow-up, despite an evident need, as shown in this article. The pandemic also impacted the elderly, who exhibited a decline in vaccination adherence and faced challenges in managing chronic diseases due to resource reallocations⁸⁵,⁸⁶.

In terms of functionality, both Inúbia Paulista-SP and Ribeirão Preto-SP showed that older adults fluctuated between independence and partial dependence, underscoring the need to strengthen social bonds and community support⁸⁷. The cognitive and psychosocial effects of the pandemic, such as memory impairment, anxiety, and loneliness, were prevalent, highlighting the importance of addressing these aspects in public policy formulation to improve the well-being of older adults⁴⁹,⁸⁸.

These data indicate that, while there are common challenges such as the need for better access to services and support for the elderly, public policies must be adaptable to address the specificities of each population and context. Attention should be focused on integrating resources and promoting mental health and well-being among the elderly, adjusting strategies to the specific needs of each group and region to more effectively address future crises⁸⁹. It is suggested to expand this study to other age groups to understand similar characteristics in mental health (or even other aspects) across different populations.

Conflict of Interest:

None

Funding Statement:

None.

Acknowledgements:

None.

References

1. Wu B. Social isolation and loneliness among older adults during the COVID-19 pandemic: a global challenge. Glob Health Res Policy. 2020;5:27.

2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497-506. DOI: 10.1016/S0140-6736(20)30183-5.

3. Pan American Health Organization (PAHO). WHO declares COVID-19 a pandemic. 2020. Available from: https://www.paho.org/pt/news/11-3.

4. Werminghoff FN. A brief essay on the political economy of globalization and the political geography of COVID-19. Rev Ensaios Geogr. 2020;5(9):75-80.

5. Preciado P. Je suis un monstre qui vous parle. Paris: Editions Grasset et Fasquelle; 2020.

6. Frasquilho D, Matos MG, Salonna F, Guerreiro D, Storti CC, Gaspar T, Caldas-de-Almeida JM. Mental health outcomes in times of economic recession: a systematic literature review. BMC Public Health. 2015;16:115.

7. Faro A, Bahiano MA, Nakano TC, Reis C, Silva BFP, Vitti LS. COVID-19 and mental health: the emergence of care. Estud Psicol (Campinas). 2020;387. DOI: 10.1590/1982-0275202037e200074.

8. Wilder-Smith A, Freedman D. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. 2020;27. DOI: 10.1093/ jtm/taaa020.

9. Smith DT, Mouzon DM, Elliott M. Reviewing the assumptions about men’s mental health: an exploration of the gender binary. Am J Mens Health. 2018 Jan;12(1):78-89. DOI: 10.1177/155 7988316630953.

10. Borim FS, Barros MB, Botega NJ. Common mental disorders in the elderly population: a population-based study in Campinas, São Paulo, Brazil. Cad Saúde Pública. 2013 Jul;29(7):1350-8. DOI: 10.1590/S0102-311X2013000700015.

11. World Health Organization (WHO). Required actions to address the impact of the COVID-19 pandemic on mental health and service delivery systems in the WHO European Region. Geneva: World Health Organization; 2021.

12. Daniel F, Antunes A, Amaral I. Social representations of old age. Análise Psicológica. 2015;33(3):291-301.

13. United Nations Population Fund. 2012.

14. Calasanti T. Feminist gerontology and older men. J Gerontol B Psychol Sci Soc Sci. 2004;59.

15. Cobos FM, Almendro JME. Active aging and gender inequalities. Aten Prim. 2008;40:305-9.

16. World Health Organization (WHO). Men, ageing and health. Geneva: World Health Organization; 2001.

17. World Health Organization (WHO). Active ageing: a policy framework. Geneva: World Health Organization; 2002.

18. International Longevity Centre Brazil. Active ageing: a political framework in response to the longevity revolution. Rio de Janeiro: International Longevity Centre; 2016.

19. Theme Filha MM, Souza Júnior PRB, Damacena GN, Szwarcwald CL. Prevalence of non-communicable chronic diseases and association with self-rated health: National Health Survey, 2013. Rev Bras Epidemiol. 2015;18(Suppl 2):83-96.

20. Malta DC, Bernal RTI, Lima MG, Araújo SSC, Silva MMA, Freitas MIF, et al. Non-communicable chronic diseases and the use of health services: analysis of the National Health Survey in Brazil. Rev Saúde Pública. 2017;51(Suppl 1):4s.

21. Gong JB, Yu XW, Yi XR, Wang CH, Tuo XP. Epidemiology of non-communicable chronic diseases and quality of life in the elderly.Aging Med (Milton). 2018;1(1):64-6. DOI: 10.1002/agm2. 12009. PMID: 31942482; PMCID: PMC688.

22. Marmamula S, Modepalli SB, Kumbham TR, Challa R, Keeffe JE. Prevalence of disabilities and non-communicable diseases in an elderly population in Telangana State, India: a population-based cross-sectional study. BMJ Open. 2021;11(2).

23. World Health Organization (WHO). Health statistics and information systems: estimates for 2000-2012. Geneva: World Health Organization; 2014a. Available from: http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html.

24. World Health Organization (WHO). Global status report on non-communicable diseases 2010. Geneva: World Health Organization; 2014b. Available from: http://www.who.int/nmh/publications/ncd_report2010/en/.

25. Brazil. Health Information.Vital Statistics. Brasília: Ministry of Health; 2016.

26. World Health Organization (WHO). From burden to “best buys”: reducing the economic impact of non-communicable diseases in low- and middle-income countries: executive summary 2011. Geneva: World Health Organization; World Economic Forum; 2014c. Available from: http://www.who.int/nmh/publications/best_buys_summary/en/.

27. Ferreira DA, Silva WB, da Silva AP, Eloy MA, de Andrade Júnior FP. Epidemiology of Severe Acute Respiratory Syndrome (SARS) resulting from COVID-19 in the State of Rio Grande do Norte. Saúde (Sta. Maria) [Internet]. 2022 Feb 24 [cited 2024 Aug 23];47(1). Available from: https://periodicos.ufsm.br/revistasaude/article/view/67011.

28. Freidin B, Ballesteros M, Wilner A. Navigating public health services: experiences of women from disadvantaged sectors in the periphery of Buenos Aires. Saúde Soc. 2019 Oct-Dec;28(4):691-703. DOI: 10.1590/S0104-12902019170987.

29. Hämmig O. Health risks associated with social isolation in general and among the young, middle-aged, and elderly. PLoS One. 2019;14(7).

30. Araujo B, Bof Chiamulera G, Saretto MFB. The impact of the COVID-19 pandemic on physical frailty and functional capacity of the elderly. RFS. 2021;9(1):16-30. DOI: 10.22298/rfs.2021.v.9.n.1.

31. Philip K, Cumella A, Farrington-Douglas J, Laffan M, Hopkinson N. Respiratory patient experience with measures to reduce the risk of COVID-19: findings from a cross-sectional UK-wide survey. BMJ. 2020;10(9).

32. Barros EJ, Santos SS, Gomes GC, Erdmann AL. Educational gerontechnology aimed at elderly stoma patients through the lens of complexity. Rev Gaúcha Enferm [Internet]. 2012;33(2):95-101. Available from: http://dx.doi.org/10.1590/S1983-14472012000200014.

33. Barbosa AR, Souza JM, Lebrão ML, Laurenti R, Marucci MF. Functional limitations of Brazilian elderly by age and gender differences: data from SABE Survey. Cad Saúde Pública [Internet]. 2005;21(4):177-85. Available from: http://dx.doi.org/10.1590/S0102-311X2005000400020.

34. Barguilla A, Fernández-Lebrero A, Fernández-Matarrubia M, Baquero M, Puertas-Martín V, Moreno-Calle L, et al. Effects of COVID-19 pandemic confinement in patients with cognitive impairment. Front Neurol [Internet]. 2020;11:5899 01. DOI: 10.3389/fneur.2020.589901. Available from:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732426/.

35. Ismail II, Kamel WA, Al-Hashel JY. Association of COVID-19 pandemic and rate of cognitive decline in patients with dementia and mild cognitive impairment: a cross-sectional study. Gerontol Geriatr Med [Internet]. 2021;7:23337214 211005223. DOI: 10.1177/23337214211005223. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995295/.

36. Kessler RC, Angermeyer M, Anthony JC, De Graaf R, Demyttenaere K, Gasquet I, et al. Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry. 2007;6(3):168-76.

37. Menze I, Mueller P, Mueller NG, et al. Age-related cognitive effects of the COVID-19 pandemic restrictions and associated mental health changes in Germans. Sci Rep. 2022;12:81 72. DOI: 10.1038/s41598-022-11283-9.

38. Paolini S, Devita M, Epifania OM, Anselmi P, Sergi G, Mapelli D, Coin A. Perception of stress and cognitive efficiency in older adults with mild and moderate dementia during the COVID-19-related lockdown. J Psychosom Res. 2021;149:1 10584. DOI: 10.1016/j.jpsychores.2021.110584.

39. Fiorenzato E, Zabberoni S, Costa A, Cona G. Cognitive and mental health changes and their vulnerability factors related to COVID-19 lockdown in Italy. PLoS One. 2021;16(1). DOI: 10.1371/journal.pone.0246204.

40. Park S, Lee JH, Lee J, et al. Interactions between subjective memory complaint and objective cognitive deficit on memory performances. BMC Geriatr. 2019;19:294. DOI: 10.1186/s12877-019-1322-9.

41. Neto JG, Temelini MG, Forlenza OV. Differential diagnosis of dementias. Rev Psiquiatr Clín. 2005;32(3):119-30.

42. Machado JC, Ribeiro RCL, Leal PFG, Cotta RMM. Evaluation of cognitive decline and its relationship with socioeconomic characteristics of the elderly in Viçosa, Minas Gerais. Rev Bras Epidemiol. 2007;10(4). DOI: 10.1590/S1415-790X2007000400017.

43. Dourado M, Lima M, Campos J, Almeida E, Lima J. Awareness of the disease in dementia: preliminary results in patients with mild and moderate Alzheimer’s disease. Arq Neuro-Psiquiatr. 2005;63(1):114-8.

44. Silva TC, Scarmagnan GS, Batiston AP, Santos MLM, Christofoletti G. Impact of the COVID-19 pandemic on the cognitive and motor functions of older people: a 3-year cohort study. Rev Bras Geriatr Gerontol. 2022;25(2).

45. Kiely KM, Brady B, Byles J. Gender, mental health and ageing. Maturitas. 2019;129:76-84.

46. Barber SJ, Kim H. COVID-19 worries and behavior changes in older and younger men and women. J Gerontol B Psychol Sci Soc Sci. 2021;76(2). DOI: 10.1093/geronb/gbaa068. PMID: 32427341; PMCID: PMC7313781.

47. Silva L, Figueiredo Filho D, Fernandes A. The effect of lockdown on the COVID-19 epidemic in Brazil: evidence from an interrupted time series design. Cad Saúde Pública. 2020;36(10). DOI: 10.1590/0102-311X00213920.

48. Lyons A, Alba B, Heywood W, Fileborn B, Minichiello V, Barrett C, Hinchliff S, Malta S, Dow B. Experiences of ageism and the mental health of older adults. Aging Ment Health. 2018;22(11):145 6-1464. DOI: 10.1080/13607863.2017.1364347.

49. Vrach IT, Tomar R. Mental health impacts of social isolation in older people during COVID pandemic. Prog Neurol Psychiatry. 2020;24(4):25-9.

50. Santos Filho A, Dourado P, Vieira L, Lima A. COVID-19 – Epidemiological Impact of Vaccination. Subsecretaria de Saúde do Estado de Goiás. Gerência de Informações Estratégicas em Saúde – CONECTA-SUS. Available from: https://www.saude.go.gov.br/files//banner_coronavirus/protocolos-notas/S%C3%ADnteses%20de%20Evid%C3%AAncias/2021/Vacinas%20-%20Impacto%20Epidemiol%C3%B3gico.pdf.pdf. Accessed: 2023 Apr 02.

51. Brooks S, Thompson R, Majeed A, Shaikh M, Dunning S, Chetna R. Social and psychological impact of the COVID-19 pandemic on people with Parkinson’s disease: a scoping review. Public Health. 2021;77-86.

52. Souza Filho ZA, Nemer CRB, Teixeira E, Neves ALM, Nascimento MHM, Medeiros HP, Panarra BAC, Lima PAV, Gigante VCG, Oliveira VLG. Factors associated with coping with the COVID-19 pandemic by older adults with comorbidities. Esc Anna Nery. 2021;25(spe).

53. Local Government Association (LGA). Public mental health and wellbeing and COVID-19 [Internet]. 2019. Available from: www.local.gov.uk/public-mental-health-and-wellbeing-and-covid-19 . Accessed: 2023 Jul 02.

54. O’Connor M. PTSD in older bereaved people. Aging Ment Health. 2010;14(6):670-8.

55. Eckholdt L, Watson L, O’Connor M. Prolonged grief reactions after old age spousal loss and centrality of the loss in post-loss identity. J Affect Disord. 2018;227:338-44.

56. Lebrasseur A, Fortin-Bédard N, Lettre J, Raymond E, Bussières EL, Lapierre N, Faieta J, Vincent C, Duchesne L, Ouellet MC, Gagnon E, Tourigny A, Lamontagne MÈ, Routhier F. Impact of the COVID-19 Pandemic on Older Adults: Rapid Review. JMIR Aging. 2021;4(2):e26474. DOI: 10.2196/26474.

57. Emerson KG. Coping with being cooped up: Social distancing during COVID-19 among 60+ in the United States. Rev Panam Salud Publica. 2020;44:e81. DOI: 10.26633/RPSP.2020.81.

58. Wong SY, Zhang D, Sit RWS, Yip BHK, Chung RY, Wong CK, Chan DCC, Sun W, Kwok KO, Mercer SW. Impact of COVID-19 on loneliness, mental health, and health service utilization: a prospective cohort study of older adults with multimorbidity in primary care. Br J Gen Pract. 2020;70(700). DOI: 10.3399/bjgp20X713021. PM ID: 32988955; PMCID: PMC7523921.

59. Bobes-Bascarán T, Sáiz PA, Velasco A, Martínez-Cao C, Pedrosa C, Portilla A, de la Fuente-Tomas L, García-Alvarez L, García-Portilla MP, Bobes J. Early psychological correlates associated with COVID-19 in a Spanish older adult sample. Am J Geriatr Psychiatry. 2020;28(12):1287-1298. DOI: 10.1016/j.jagp.2020.09.005. Epub 202 0 Sep 07. PMID: 32951996; PMCID: PMC7476442.

60. Oliveira JT de, Lira TB de, Abreu CRC de C. A saúde mental dos idosos em tempos de pandemia – COVID-19. Rev Coleta Científica. 2021;5(9):20-30. DOI: 10.5281/zenodo.5034787.

61. Goulart JL, Troian A, Quispe JN. Observatórios sociais e sua importância para a gestão pública na Região Sul do Brasil. Desenvolv Quest. 2020;1 8(51):113-28.

62. Whatley MC, Siegel ALM, Schwartz ST, Silaj KM, Castel AD. Younger and older adults’ mood and expectations regarding aging during COVID-19. Gerontol Geriatr Med. 2020;6:2333721420960 259. DOI: 10.1177/2333721420960259. PMID: 32984443.

63. López J, Perez-Rojo G, Noriega C, Carretero I, Velasco C, Martinez-Huertas J, et al. Psychological well-being among older adults during the COVID-19 outbreak: a comparative study of the young-old and the old-old adults. Int Psychogeriatr. 2020;32(1 1):1365-1370. DOI: 10.1017/S1041610220000964.

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;20:489. DOI: 10.1186/s12877-020-01889-x.

65. Philip K, Cumella A, Farrington-Douglas J, Laffan M, Hopkinson N. Respiratory patient experience of measures to reduce risk of COVID-19: findings from a descriptive cross-sectional UK-wide survey. BMJ Open. 2020;10(9). DOI: 10.1136 /bmjopen-2020-040951.PMID: 32912958; PMCID: PMC7568295.

66. Knepple Carney A, Graf A, Hudson G, Wilson E. Age moderates perceived COVID-19 disruption on well-being. Gerontologist. 2021;61(1):30-35. DOI: 10.1093/geront/gnaa106. PMID: 32808660.

67. Eiguren A, Idoiaga N, Berasategi N, Picaza M. Exploring the social and emotional representations used by the elderly to deal with the COVID-19 pandemic. Front Psychol. 2021;11:586560. DOI: 10.3389/fpsyg.2020.586560.

68. Arpasi-Quispe O, Fernandes-Molocho L, Mocarro-Aguilar MR, Díaz-Orihuela MM, Fhon JRS. Stress in the elderly in the context of the COVID-19 pandemic and its associated factors. Cogitare Enferm [Internet]. 2023. Available from: https://dx.doi.org/10.1590/ce.v28i0.8747.

69. Araújo CK, Cardoso CMC, Moreira EPM, Wegner E, Areosa SVC. Vínculos familiares e sociais nas relações dos idosos. Rev Jovens Pesquisadores. 2012;1:97-107.

70. Pantell M, Rehkopf DH, Jutte DP, Syme SL, Balmes J, Adler N. Social isolation: a predictor of mortality comparable to traditional clinical risk factors. Am J Public Health. 2013;103:2056-62.

71. Valtorta NK, Kanaan M, Gilbody S, Hanratty B. Loneliness, social isolation and risk of cardiovascular disease in the English Longitudinal Study of Ageing. Eur J Prev Cardiol. 2018;25:1387-96.

72. Bauman Z. Amor líquido: sobre a fragilidade dos laços humanos. Translated by Carlos Alberto Medeiros. Rio de Janeiro, RJ: Jorge Zahar Ed.; 2004. 88 p.

73. Figueira SMB, Ferreira CJ. Solitude and the liquidity of interpersonal relationships in postmodern Japanese society: an analysis of Kawakami Hiromi’s novel, The Nakano Thrift Shop. Curitiba. 2022;10(18).

74. Barcelos LB. Entrevista para o site: https://extra.globo.com/noticias/saude-e-ciencia/conheca-os-beneficios-da-leitura-para-criancas-idosos-21778085.html. Accessed: 2023 Jun 23.

75. Crespi LRS, Silva K, Lima M. Contribuições de Vigotsky e Luria para a neurociência cognitiva e para os processos de ensino e aprendizagem no ambiente escolar. In: Anais IV CONEDU… Campina Grande: Realize Editora; 2017.

76. Instituto Brasileiro de Geografia e Estatística (IBGE). Analfabetismo cai em 2017, mas segue acima da meta para 2015. Available from: https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/21255-analfabetismo-cai-em-2017-mas-segue-acima-da-meta-para-2015. Accessed: 2023 Jun 23.

77. Ferreira JS, Cruz RPV, Assis TC, Dellagrana RA. Sedentary behavior of adults and elderly people during COVID-19 pandemic. J Health Biol Sci. 2021;9(1):1-5. DOI: 10.12662/2317-3076jhbs.v9i1 .3816.p1-5.2021.

78. Martins JS, Torres MGR, Oliveira RA. Comportamento sedentário associado ao tempo de tela em acadêmicos de Educação Física. Rev Cienc Mov Reabilit Saude. 2017;19(38):27-37.

79. Margaça C, Rodrigues D. Spirituality and resilience in adulthood and old age: a revision. Fractal, Rev Psicol. 2019;31(2). DOI: 10.22409 /1984-0292/v31i2/5690.

80. Khorany H, Takzare E, Mohammai F, Motalebi SA. The role of spiritual well-being in predicting fear of COVID-19 among community-dwelling older adults in Iran.Iranian J Ageing. 2023;17(4):492-505.

81. Derrer-Merk E, Ferson S, Mannis A, Bentall R, Bennett K. Older people’s family relationships in disequilibrium during the COVID-19 pandemic: what really matters? Ageing Soc. 2022;1-18. DOI: 10.1017/S0144686X22000435.

82. Instituto IPSOS and The Policy Institute & King’s College London.World Mental Health Day 2019. Accessed: 2023 Jun 23.

83. Costa ML, Costa EG. Envelhecimento, comunicação e suas relações. In: Marchesan IQ, editor. Desenvolvimento da comunicação humana nos diferentes ciclos de vida. Barueri (SP): Pró Fono; 2015. p. 213-27.

84. Nascimento AA de A, Ribeiro SEA, Marinho ACL, Azevedo VD de, Moreira ME de M, Azevedo IC de C. Repercussões da pandemia de COVID-19 na formação em enfermagem: Scoping Review. Rev Latino-Am Enfermagem. 2023;31:e6414. DOI: 10.1590/1518-8345.6414.3911.

85. Howard J, Huang A, Li Z, et al. An evidence review of face masks against COVID-19. Proc Natl Acad Sci U S A. 2021;118(4):e2014564118. DOI: 10.1073/pnas.2014564118.

86. World Health Organization (WHO). Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19). Geneva: World Health Organization; 2020. Available from: http://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-oncovid-19-final-report.pdf.

87. Almeida AP, Naffah Neto A. The feeling of loneliness in contemporaneity: revisiting Melanie Klein. Psic Rev São Paulo. 2019;28(2):421-442. DOI: 10.23925/2594-3871.2019v28i2p421-442.

88. Cardoso et al. Avaliação Psicológica. [Internet]. 2021. Available from: http://dx.doi.org/10.15689/ap.2021.2002.

89. Souza C. Políticas Públicas: uma revisão da literatura. Sociologias. 2006;8(16).

Interested in publishing your own research?
ESMED members can publish their research for free in our peer-reviewed journal.
Learn About Membership

Call for papers

Have a manuscript to publish in the society's journal?