COVID-19 lockdown has altered the dynamics between affective symptoms and social isolation among older adults: results from a longitudinal network analysis.
TL;DR: In this article, the authors studied the changes in these dynamics before and during the lockdown of the COVID-19 pandemic and found that depression and anxiety symptoms and social isolation had significantly increased during lockdown, while depression symptoms have become more tightly coupled across individuals and so were the anxiety symptoms.
Abstract: The COVID-19 lockdown has drastically limited social interactions and brought about a climate of fear and uncertainty. These circumstances not only increased affective symptoms and social isolation among community dwelling older adults but also alter the dynamics between them. Using network analyses, we study the changes in these dynamics before and during the lockdown. Community-dwelling older adults (N = 419) completed questionnaires assessing depression, anxiety, and social isolation, before the COVID-19 pandemic, as part of a cohort study, and during the lockdown period. The total scores of these questionnaires were compared across time. For the network analyses, partial correlation networks were constructed using items in the questionnaires as nodes, separately at both timepoints. Changes in edges, as well as nodal and bridge centrality were examined across time. Depression and anxiety symptoms, and social isolation had significantly increased during the lockdown. Significant changes were observed across time on several edges. Greater connectivity between the affective and social isolation nodes at lockdown was observed. Depression symptoms have become more tightly coupled across individuals, and so were the anxiety symptoms. Depression symptoms have also become slightly decoupled from those of anxiety. These changing network dynamics reflect the greater influence of social isolation on affective symptoms across individuals and an increased vulnerability to affective disorders. These findings provide novel perspectives and translational implications on the changing mental health context amidst a COVID-19 pandemic situation.
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TL;DR: In this paper , the authors used network analysis to examine baseline data from treatment seeking first responders (n = 308) to examine the interrelatedness of those constructs, including a measure of resilience.
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TL;DR: In this article , the authors examined the relationship between fear of the COVID-19 pandemic, social isolation and depression in elderly individuals, and found that depression was associated with high morbidity and mortality rates.
Abstract: The COVID‐19 pandemic has seriously affected elderly individuals and it has been associated with high morbidity and mortality rates. This study was conducted to examine the relationship between fear of COVID‐19, social isolation and depression in elderly individuals.
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TL;DR: In this paper , the authors examined changes in physical activity from pre-COVID-19 to during the COVID19 pandemic and the factors associated with reduced physical activity levels among adults 50 yrs and older.
Abstract: We examined changes in physical activity from pre-COVID-19 to during the COVID-19 pandemic and the factors associated with reduced physical activity levels among adults 50 yrs and older.Participants of a validation study were stratified into being "less active than before" or "equally or more active than before" COVID-19. Multivariable manual backward analyses were used to identify self-reported barriers associated with the reduction in physical activity.Reduced physical activity levels during COVID-19 were reported among 244 of 503 participants (43%). After adjusting for demographics and health conditions, factors that increased the odds of reduced physical activity levels during COVID-19 were lacking access to workout places, feeling too anxious, and difficulty committing to physical activity. Factors that decreased the odds of reduced physical activity levels during COVID-19 were self-identifying a heart- or lung-associated diagnosis that impacts physical activity and having a 12-mo retrospective history of falling.The physical activity participation barriers identified to be associated with a reduction in physical activity can be used as a starting point for a conversation regarding physical activity participation during COVID-19.Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME.Upon completion of this article, the reader should be able to: (1) Describe the changes in physical activity levels among adults 50 yrs and older from pre-COVID-19 to during the COVID-19 pandemic; (2) Differentiate between the COVID-19 related factors associated with reduced physical activity levels among adults 50 yrs and older and younger adults; and (3) Identify the physical activity-related factor that decreased the odds of reduced physical activity levels during COVID-19 among adults 50 yrs and older.Advanced.The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s) ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
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TL;DR: The emergence of COVID-19 has drastically changed our daily lives, and lockdowns were imposed across many countries for extended periods of time during the pandemic to reduce the risk of infection as mentioned in this paper .
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TL;DR: The present scale has been devised for use only on patients already diagnosed as suffering from affective disorder of depressive type, used for quantifying the results of an interview, and its value depends entirely on the skill of the interviewer in eliciting the necessary information.
Abstract: Types of Rating Scale The value of this one, and its limitations, can best be considered against its background, so it is useful to consider the limitations of the various rating scales extant. They can be classified into four groups, the first of which has been devised for use on normal subjects. Patients suffering from mental disorders score very highly on some of the variables and these high scores serve as a measure of their illness. Such scales can be very useful, but have two defects: many symptoms are not found in normal persons; and less obviously, but more important, there is a qualitative difference between symptoms of mental illness and normal variations of behaviour. The difference between the two is not a philosophical problem but a biological one. There is always a loss of function in illness, with impaired efficiency. Self-rating scales are popular because they are easy to administer. Aside from the notorious unreliability of self-assessment, such scales are of little use for semiliterate patients and are no use for seriously ill patients who are unable to deal with them. Many rating scales for behaviour have been devised for assessing the social adjustment of patients and their behaviour in the hospital ward. They are very useful for their purpose but give little or no information about symptoms. Finally, a number of scales have been devised specifically for rating symptoms of mental illness. They cover the whole range of symptoms, but such all-inclusiveness has its disadvantages. In the first place, it is extremely difficult to differentiate some symptoms, e.g., apathy, retardation, stupor. These three look alike, but they are quite different and appear in different settings. Other symptoms are difficult to define, except in terms of their settings, e.g., mild agitation and derealization. A more serious difficulty lies in the fallacy of naming. For example, the term "delusions" covers schizophrenic, depressive, hypochrondriacal, and paranoid delusions. They are all quite different and should be clearly distinguished. Another difficulty may be summarized by saying that the weights given to symptoms should not be linear. Thus, in schizophrenia, the amount of anxiety is of no importance, whereas in anxiety states it is fundamental. Again, a schizophrenic patient who has delusions is not necessarily worse than one who has not, but a depressive patient who has, is much worse. Finally, although rating scales are not used for making a diagnosis, they should have some relation to it. Thus the schizophrenic patients should have a high score on schizophrenia and comparatively small scores on other syndromes. In practice, this does not occur. The present scale has been devised for use only on patients already diagnosed as suffering from affective disorder of depressive type. It is used for quantifying the results of an interview, and its value depends entirely on the skill of the interviewer in eliciting the necessary information. The interviewer may, and should, use all information available to help him with his interview and in making the final assessment. The scale has undergone a number of changes since it was first tried out, and although there is room for further improvement, it will be found efficient and simple in use. It has been found to be of great practical value in assessing results of treatment.
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TL;DR: The FCV-19S, a seven-item scale, has robust psychometric properties and is reliable and valid in assessing fear of COVID-19 among the general population and will also be useful in allaying CO VID-19 fears among individuals.
Abstract: Background: The emergence of the COVID-19 and its consequences has led to fears, worries, and anxiety among individuals worldwide. The present study developed the Fear of COVID-19 Scale (FCV-19S) t ...
2,546 citations
TL;DR: The qgraph package for R is presented, which provides an interface to visualize data through network modeling techniques, and is introduced by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
Abstract: We present the qgraph package for R, which provides an interface to visualize data through network modeling techniques. For instance, a correlation matrix can be represented as a network in which each variable is a node and each correlation an edge; by varying the width of the edges according to the magnitude of the correlation, the structure of the correlation matrix can be visualized. A wide variety of matrices that are used in statistics can be represented in this fashion, for example matrices that contain (implied) covariances, factor loadings, regression parameters and p values. qgraph can also be used as a psychometric tool, as it performs exploratory and confirmatory factor analysis, using sem and lavaan; the output of these packages is automatically visualized in qgraph ,w hich may aid the interpretation of results. In this article, we introduce qgraph by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
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TL;DR: An examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network).
Abstract: In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry → insomnia → fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therape...
1,824 citations