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Home » Social isolation in the context of the COVID-19 pandemic has become a major cause for concern in the young adult generation. Unfortunately, prior literature is limited in the study of this construct for this particular age cohort, but research can be guided by the extensive literature on social isolation in older adults.

Social isolation in the context of the COVID-19 pandemic has become a major cause for concern in the young adult generation. Unfortunately, prior literature is limited in the study of this construct for this particular age cohort, but research can be guided by the extensive literature on social isolation in older adults.

Social isolation in young adults

 

Department of Psychology

 

Saint Leo University

 

Nicole Williams

 

Abstract

 

Social isolation in the context of the COVID-19 pandemic has become a major cause for concern in the young adult generation. Unfortunately, prior literature is limited in the study of this construct for this particular age cohort, but research can be guided by the extensive literature on social isolation in older adults. The proposed study attempts to examine the effect of the pandemic on social connectedness. I hypothesize that, as a result of the COVID-19 pandemic, perceived social isolation in young adults has significantly increased. I expect to find that the national quarantine resulted in higher levels of perceived social isolation in young adults. One possible explanation for anticipated results revolve around time and curfew restrictions which resulted in less meaningful interpersonal interactions, restricting intimacy and exacerbating feelings of loneliness.

 

Keywords: Social Isolation, young adults, COVID-19, pandemic

 

Introduction

 

Social isolation generally includes the absence of social interactions, social contacts, and social relationships with family, friends, and society as a whole. Social isolation is often used synonymously and interchangeably with loneliness.

 

Risk Factors: Pandemic Exasperators

 

Mortality Forced Isolation

Depression No social networking

Cog. Impairment Decreased social trust

Functional Status Facility shut-downs

Hypothesis: As a results of the COVID-19 pandemic, perceived social isolation in young adults significantly increased.

 

Risk factors are guided by the literature on social isolation in older adults. (Courtin & Knapp, 2017; Hold-Lunstad et al., 2015; Shankar et al., 2017)

 

-Lack of social trust (Pew Research Center, 2020)

 

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method

 

Participants

 

Convenience sampling

 

Bulletin Board announcements and online flyers

 

Sample size: 50 (male and female)

 

Inclusion Criteria

 

Aged 18-29

 

Ability to provide informed consent

 

English speaking

 

U.S resident

 

Materials and Procedure

 

Complete online demographic assessment

 

Age, gender, annual household income, and highest level of education

 

Memory-inducing prompt- Life before COVID

 

Complete abbreviated Lubben’s Social Network Scale

 

6 Likert-style questions

 

Internal reliability = 0.83

 

Present day redirection

 

Complete LSN a second time

 

Debrief

 

Lubben, J. (1988). Assessing social networks among elderly populations. Family & CommunityHealth: The Journal of Health Promotion & Maintenance, 11, 42-52.Lubben, J., Blozik, E., Gillmann, G., IIiffe, S., von Renteln Kruse, W., Beck, J. C., & Stuck, A.E. (2006). Performance of an abbreviated version of the Lubben Social Network Scaleamong three European Community–dwelling older adult populations. Gerontologist,46(4), 503–513.

 

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Lubben social network scales

 

Results

 

Hypothesis Restated: The COVID-19 pandemic increased perceptions of social isolation and loneliness in young adults

 

Descriptive Statistics

 

Means, standard deviations, frequencies, and variance

 

Repeated measures t test (dependent t test)

 

IV: Two categorical related groups

 

Pre-post

 

Same subjects in each group (within)

 

DV: Continuous- Interval level

 

Social Isolation scored on a scale ranging from 0-30

 

Expected Results:

 

Significant difference supporting the notion of more perceptions of increased social isolation and loneliness in the post-pandemic condition

 

Could also run a repeated-measures ANOVA

 

Before: Chi-square test- The nominal level categories are interpreted as (1= pre-quarantine, 2= post quarantine) and (1= socially isolated, 2= not socially isolated).The cross tabulation will concurrently display the distributions, indicating whether or not the variables are associate

 

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Discussion

 

Possible Outcomes

 

The quarantine resulted in higher levels of perceived social isolation.

 

Logic: Interplay between objective and subjective variables.

 

Time and curfew restrictions resulted in less meaningful interpersonal interactions, restricting intimacy and exacerbating feelings of loneliness.

 

Logic: The idea that the opposite of social isolation and loneliness is not the absence of it.

 

Limitations

 

Participants inability to recall life events before the start of the pandemic

 

Survey methodology way contribute participant bias

 

Give responses that are expected

 

Convenience sampling

 

Lack of generalizability

 

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Discussion- Future research

 

Compare Means

 

Assuming the anticipated results are found, future studies could run a single sample t-test given the mean from this study’s data and compare it to pre-pandemic, young adult, social isolation population data

 

Age Cohorts

 

As mentioned previously, the data for social isolation in older adults in extensive. This study will provide data on young adults, but the literature will still be lacking in data from middle aged adults.

 

Comorbidity

 

Social isolation and loneliness are known risk factories for mental and physical health related diseases. The interplay between psychological and physiological morbidities. Future research should test effects of comorbid interactions on SI

 

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references

 

Courtin, E., & Knapp, M. (2017). Social isolation, loneliness and health in old age: a scopingreview. Health & social care in the community, 25(3), 799–812.https://doi.org/10.1111/hsc.12311

 

Health Resources & Services. (2019). The loneliness epidemic. Retrieved from https://www.hrsa.gov/enews/past-issues/2019/january-17/loneliness-epidemic

 

Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015). Loneliness andsocial isolation as risk factors for mortality: a meta-analytic review. Perspectives onpsychological science: a journal of the Association for Psychological Science, 10(2),227–237. https://doi.org/10.1177/1745691614568352

 

Lubben, J. (1988). Assessing social networks among elderly populations. Family & CommunityHealth: The Journal of Health Promotion & Maintenance, 11, 42-52

 

Lubben, J., Blozik, E., Gillmann, G., IIiffe, S., von Renteln Kruse, W., Beck, J. C., & Stuck, A.E. (2006). Performance of an abbreviated version of the Lubben Social Network Scaleamong three European Community–dwelling older adult populations. Gerontologist,46(4), 503–513

 

Pew Research Center. (2020). The state of Americans’ trust in each other amid the COVID-19pandemic. Retrieved from https://www.pewresearch.org/fact-tank/2020/04/06/the-state-of-americans-trust-in-each-other-amid-the-covid-19-pandemic/

 

Shankar, A., McMunn, A., Demakakos, P., Hamer, M., & Steptoe, A. (2017). Social isolationand loneliness: Prospective associations with functional status in older adults. Healthpsychology : official journal of the Division of Health Psychology, AmericanPsychological Association, 36(2), 179–187. https://doi.org/10.1037/hea0000437

 

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