| Literature DB >> 35613113 |
Juthatip Wiwattanapantuwong1,2, Arunya Tuicomepee1, Panrapee Suttiwan1,3, Rewadee Watakakosol1,3, Menachem Ben-Ezra4, Robin Goodwin5.
Abstract
OBJECTIVE: Novel infectious diseases have the potential to both strengthen or weaken interpersonal relationships within a society. In a collectivist setting such as Thailand amplification of relationships may be particularly marked, but may be associated with individual factors, including personal values and perceived control over the virus.Entities:
Mesh:
Year: 2022 PMID: 35613113 PMCID: PMC9132297 DOI: 10.1371/journal.pone.0264614
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Participant characteristics, psychological distress, values and relationship change.
| Thailand (N = 1000) | ||||
|---|---|---|---|---|
|
| Mean | SD | N | % |
| Age, Years | 39.09 | 14.01 | ||
| Sex, Female | 504 | 50.4 | ||
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| Single | 303 | 30.3 | ||
| Married no children | 98 | 9.8 | ||
| Married with children | 560 | 56.0 | ||
| Divorced/widowed no children | 11 | 1.1 | ||
| Divorced/widowed with children | 28 | 2.8 | ||
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| Bangkok | 400 | 40.0 | ||
| Khonkaen (Northeast) | 150 | 15.0 | ||
| Chiangmai (North) | 150 | 15.0 | ||
| Chonburi (East) | 150 | 15.0 | ||
| Hat Yai (Southern) | 150 | 15.0 | ||
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| ||||
| Blue collar | 367 | 36.7 | ||
| Student | 136 | 13.6 | ||
| Company worker | 102 | 10.2 | ||
| Retired | 98 | 9.8 | ||
| Unemployed | 86 | 8.6 | ||
| Freelance | 75 | 7.5 | ||
| Business owner | 71 | 7.1 | ||
| Housewife | 33 | 3.3 | ||
| Government officer | 27 | 2.7 | ||
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| About personally catching COVID -19 | 2.06 | .54 | ||
| Your family and closest friends about catching COVID -19 | 2.07 | .59 | ||
| About infecting others | 1.79 | .64 | ||
| Mean score (all 3 above) | 1.97 | .50 | ||
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| Likelihood of you getting infected by the virus? ((none (1), a little (2), great deal (3)) | 2.33 | .58 | ||
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| Partnerships (in relationship, N = 811), % worse, same, better | 2.22 | .43 | 3, 624, 184 | .4, 77.3, 22.7 |
| Family change | 2.21 | .43 | 8, 776, 216 | .8, 77.6, 21.6 |
| Friends change | 1.97 | .32 | 64, 898, 38 | 6.4, 89.8, 3.8 |
| Neighbourhoods | 1.96 | .27 | 60, 925, 15 | 6.0, 92.5, 1.5 |
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| ||||
|
| 16.99 | 1.90 | ||
| It is important for the government to make sure everyone is safe | 8.41 | 1.12 | ||
| It is important to live in safe and secure surroundings | 8.58 | 1.08 | ||
|
| 16.54 | 2.04 | ||
| It is important to make sure people are treated equally and have equal opportunities | 8.39 | 1.25 | ||
| It is important to understand different people | 8.15 | 1.29 | ||
Fig 1Percentage relationship change since COVID-19, by relationship type.
Anxiety, values, demographics and relationship change.
| Relationships change among (B (95%CI)) | ||||
|---|---|---|---|---|
| Partners | Family | Friends | Neighbours | |
|
| ||||
| Age | -.00 (.00, .00) | -.00 (.00, .00) | -.00 (.00, .00) | -.00 (-.00, .00) |
| Sex (female) | .04 (-.02, .09) | .04 (-.01, .09) | .01 (-.03, .05) | .02 (-.01, .06) |
| Relationship Status (ref: married with children) | ||||
| Single | .05 (-.01, .10) | .02 (-.03, .07) | ||
| Married, no children | -.05 (-.14, .05) | |||
| Divorced/widowed no children | -.02 (-.35, .31) | -.05 (-.30, .20) | .08 (-.11, .27) | .08 (-.09, .24) |
| Divorced/Widowed with children | -.13 (-.40, .14) | -.12 (-.28, .05) | -.03 (-.15, .09) | .01 (-.10, .11) |
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| Anxiety | .05 (-.02, .11) | -.03 (-.08, .01) | -.02 (-.06, .02) | |
| Control | .05 (.00, .10) | .00 (-.04, .03) | .01 (-.02, .04) | |
| Security | ||||
| Universalism | .01 (.00, .03) | |||
*** p < .001
**p < .01
*p < .05. p < .05 or below in bold.