| Literature DB >> 35496651 |
Janina Myrczik1, Catherine Bowen1, Annette Franke2, Leonie Täuber1, Eva-Marie Kessler1.
Abstract
Background andEntities:
Keywords: Age discrimination; COVID-19; Frame analysis; Mass media; Social participation
Year: 2022 PMID: 35496651 PMCID: PMC9044202 DOI: 10.1093/geroni/igac009
Source DB: PubMed Journal: Innov Aging ISSN: 2399-5300
Characteristics of German Political Talk Show Guests in 2020
| Characteristic | German population (81.8 M) | Episodes | ||
|---|---|---|---|---|
| All ( | COVID-related ( | Other ( | ||
| % (population) | % ( | % ( | % ( | |
| Women | 50.61% (41.4 M) | 38.73% (292) | 38.78% (190) | 38.64% (102) |
| Migration experience | 16.57% (13.7 M) | 7.82% (59) | 4.90% (24) | 13.21% (35) |
| Functional aid | 9.50% (7.9 M) | 0.93% (7) | 0.41% (2) | 1.89% (5) |
| <65 years | 79.10% (64.7 M) | 87.80% (662) | 90.41% (443) | 82.95% (219) |
| Women | 49.57% (31.6 M) | 42.75% (283) | 41.08% (182) | 46.12% (101) |
| Migration experience | 18.52% (11.8 M) | 7.70% (51) | 4.97% (22) | 13.24% (29) |
| Functional aid | 5.26% (3.4 M) | 0.27% (2) | 0.23% (1) | 0.46% (1) |
| Expert | — | 96.37% (638) | 95.03% (421) | 99.09% (217) |
| 65+ years | 20.90% (17.1 M) | 12.20% (92) | 9.59% (47) | 17.05% (45) |
| Young-old | 68.51% (12.3 M) | 93.48% (86) | 93.62% (44) | 93.33% (42) |
| Old-old | 31.49% (4.8 M) | 6.52% (6) | 6.38% (3) | 6.67% (3) |
| Women | 52.49% (9.5 M) | 9.78% (9) | 17.02% (8) | 2.22% (1) |
| Migration experience | 10.50% (1.9 M) | 8.70% (8) | 4.26% (2) | 13.33% (6) |
| Functional aid | 26.32% (4.5 M) | 5.43% (5) | 2.13% (1) | 8.89% (4) |
| Expert | — | 95.65% (88) | 91.49% (43) | 100% (45) |
Notes: Statistics on the German population from the 2019 Microcensus (Federal Statistical Office of Germany, 2020, 2021a). Functional aid includes hearing aid, walking stick, armband, wheelchair, or walker. COVID-19 = coronavirus disease 2019.
aThere was a statistically significant difference between younger and older guests in COVID-related episodes, χ 2(1, N = 490) = 320.033, p ≤ .001, with a large effect φ = 0.653.
bYoung-old guests appeared statistically significant more often in COVID-related episodes than old-old guests, χ 2(1, N = 47) = 35.766, p ≤ .001, with a large effect φ = 0.760.
cChi-square test between older male and female guests was significant, χ 2(1, N = 47) = 20.45, p ≤ .001, with a medium effect, φ = 0.435.
Professional Background of Guests on COVID-Related and Other Episodes, Overall and by Guests’ Age
| Professional background | COVID episodes ( | Other episodes ( | ||||
|---|---|---|---|---|---|---|
| All ( | Younger ( | Older ( | All ( | Younger ( | Older ( | |
| % ( | % ( | % ( | % ( | % ( | % ( | |
| Experts | 94.72 (464) | 95.03 (421) | 91.49 (43) | 99.24 (262) | 99.09 (217) | 100 (45) |
| Politics | 33.62 (158) | 32.51 (144) | 32.56 (14) | 46.21 (122) | 43.84 (96) | 57.78 (26) |
| Journalism | 19.57 (92) | 19.19 (85) | 14.89 (7) | 25.76 (68) | 28.31 (62) | 13.33 (6) |
| Science | 17.45 (82) | 16.70 (74) | 17.02 (8) | 4.54 (12) | 5.02 (11) | 2.22 (1) |
| Other | 26.94 (132) | 26.64 (118) | 29.79 (14) | 22.73 (60) | 21.92 (48) | 26.67 (0) |
Note: COVID-19 = coronavirus disease 2019.
Discussion of Nine Themes on COVID-Related Episodes Featuring at Least One Older and One Younger Guest, Overall and by Age of Guest (nframes = 37 Episodes, F = 284 Frames)
| Theme | Frames from | ||
|---|---|---|---|
| All guests | Younger guests | Older guests | |
|
| % ( | % ( | |
| Population unrest | 55 | 21.00% (46) | 13.85% (9) |
| Government failure to protect | 36 | 11.42% (25) | 16.92% (11) |
| Natural law of virus | 29 | 10.96% (24) | 7.69% (5) |
| Pandemic as pressure cooker | 28 | 9.13% (20) | 12.31% (8) |
| Unfair prioritization | 27 | 9.13% (20) | 10.77% (7) |
| Limitations of government | 25 | 5.02% (25) | 0.00% (0) |
| Suffering economy | 25 | 9.13% (20) | 7.69% (5) |
| Disproportionate state intervention | 23 | 5.48% (12) | 16.92% (11) |
| Situation of older people | 36 | 12.33% (27) | 13.85% (9) |
Notes: Absolute numbers of frames in parentheses. COVID-19 = coronavirus disease 2019.
aSignificant difference in the proportion of frames from younger and older guests based on a chi-square test of independence. Due to multiple comparisons, the difference was considered statistically significant at p < .006.
bDouble coding.