| Literature DB >> 35248312 |
Lindsey B Anderson1, Patricia E Gettings2.
Abstract
Negative messages about aging dominate public discourse about the COVID-19 pandemic as older adults have been classified as members of a "vulnerable" population due to their chronological age. To explore young adults' feelings about aging before and after the emergence of COVID-19, we collected 794 qualitative questionnaires during the fall of 2017 and another 463 responses during the fall of 2020. We drew on the concepts of age-based stereotypes and future selves to guide our thematic analysis of the data. Findings captured young adults' feelings about aging at two distinct points in time and demonstrate the complex ways the communication contributed to shifting feelings about aging. In doing so, we highlight the role that portrayals of aging play in shaping young adults' feelings about aging and their perception of their future selves. These findings offer conceptual contributions about communication, context, and aging.Entities:
Keywords: Age-based stereotypes; Aging; COVID-19; Future self
Mesh:
Year: 2022 PMID: 35248312 PMCID: PMC8747948 DOI: 10.1016/j.jaging.2022.100998
Source DB: PubMed Journal: J Aging Stud ISSN: 0890-4065
Participants' demographic information.
| 2017 | 2020 | |
|---|---|---|
| Sample | 794 | 463 |
| Year in college | ||
| Freshmen | 50.9% | 48.6% |
| Sophomore | 22.7% | 27.4% |
| Junior | 11.8% | 11.4% |
| Senior | 13.6% | 12.3% |
| Other | 1.0% | 0.2% |
| Age | 19.23 | |
| Gender | ||
| Female | 55.8% | 64.2% |
| Male | 43.8% | 34.7% |
| Gender Nonconforming/Other | 0.4% | 1.1% |
| Race/Ethnicity | ||
| American Indian | 0.1% | 0.4%** |
| Asian | 18.1% | 22.7% |
| Biracial | 6.3% | 2.6% |
| Black or African American | 10.3% | 7.8% |
| Hispanic or Latinx | 5.5% | 8.2% |
| Native Hawaiian | 0.1% | 0.6% |
| White/Caucasian or European | 58.1% | 60.5% |
| Other | 1.4% | 3.7% |
Note. Participants in 2020 could choose all racial/ethnic identities that applied; thus percentages total to greater than 100.
Summary of positive, neutral, and negative feelings about aging.
| Coding Category | Frequency (2017) | Percentage | Frequency | Percentage | Percent Change |
|---|---|---|---|---|---|
| Positive Codes | 106 | 12.69% | 36 | 5.45% | (7.24) |
| Neutral Codes | 301 | 36.05% | 220 | 33.33% | (2.72) |
| Negative Codes | 428 | 51.26.% | 404 | 61.21% | +9.95 |
| Total | 835 units | 100% | 660 units | 100% |
Percentage for sub-codes for positive, neutral, and negative codes.
| Coding Category | Sub-code | Percentage | Percentage |
|---|---|---|---|
| Positive Codes | |||
| Looking forward to aging | 11.38 | 2.33 | |
| Benefits of aging | 1.32 | 3.12 | |
| Neutral Codes | |||
| Inevitable | 20.96 | 24.46 | |
| Not worried/feel fine | 12.46 | 6.25 | |
| Ways to age well | 2.63 | 2.62 | |
| Negative Codes | |||
| Scary/terrified | 24.19 | 24.71 | |
| Negative impacts | 10.66 (general concern) | 11.92 (specific health risks) | |
| Sad | 9.94 | 2.62 (and lonely) | |
| Don't want to | 6.47 | 10.91 | |
| Decline & death | 0 | 4.80 | |
| Lost time | 0 | 4.07 | |
| Worried about others | 0 | 1.45 | |
| Explicit COVID mention | 0 | 0.73 |
Note. This study took an interpretive approach to data collection and analysis. As such, the analysis process for 2020 data was informed by 2017 coding scheme, but was flexible in order to allow new ideas to emerge from the responses. The items in parenthesis indicate differences in how themes were framed in 2017 and 2020. Moreover, there were four additional codes that emerged in 2020 data.