| Literature DB >> 35813567 |
Allen C Sherman1, Mark L Williams2, Benjamin C Amick3, Teresa J Hudson4, Erick L Messias5,6, Stephanie Simonton-Atchley1.
Abstract
COVID-19 has created pervasive upheaval and uncertainty in communities around the world. This investigation evaluated associations between discrete dimensions of personal meaning and psychological adjustment to the pandemic among community residents in a southern US state. In this cross-sectional study, 544 respondents were assessed during a period of reopening but accelerating infection rates. Validated measures were used to evaluate theoretically distinct dimensions of perceived global meaning (Meaning-in-Life Questionnaire) and pandemic-specific meaning (Meaning in Illness Scale). Adjustment outcomes included perceived stress, pandemic-related helplessness, and acceptance of the pandemic. In multivariate models that controlled for demographic and pandemic-related factors, stronger attained global meaning (i.e., perceptions that life is generally meaningful) and attained situational meaning (i.e., perceptions that the pandemic experience was comprehensible) were related to better adjustment on all three outcomes (all p's < .001). In contrast, seeking situational meaning (i.e., ongoing efforts to find coherence in the situation) was associated with poorer adjustment on all indices (all p's < .001). Results offer novel information regarding theoretically salient dimensions of meaning, which may have direct relevance for understanding how community residents adapt to the challenges of a major public health crisis.Entities:
Keywords: Adjustment; COVID-19; Global meaning; Situational meaning; Stress
Year: 2022 PMID: 35813567 PMCID: PMC9256532 DOI: 10.1007/s12144-022-03354-x
Source DB: PubMed Journal: Curr Psychol ISSN: 1046-1310
Sample characteristics
| Characteristic | N (%) | Mean (SD) |
|---|---|---|
| Age | 51.47 (14.90) | |
| Education (years) | 15.93 (2.05) | |
| Disruptions in daily life (log) | 1.16 ( .10) | |
| Lack of social distancing (possible range 0–8) | 3.95 (1.68) | |
| Perceived stress (possible range 0–40) | 13.84 (7.73) | |
| Helplessness (possible range 6–24) | 11.81 (3.61) | |
| Acceptance (possible range 6–24) | 16.90 (3.87) | |
| Found global meaning (possible range 5–35) | 26.13 (6.65) | |
| Seeking global meaning (possible range 5–25) | 19.60 (8.18) | |
| Found situational meaning (possible range 24–96) | 52.81 (12.30) | |
| Seeking situational meaning (possible range 24–96) | 46.62 (12.96) | |
| Gender | ||
| Male | 126 (23.16) | |
| Female | 418 (76.84) | |
| Race/ethnicity | ||
| Majority | 455 (83.64) | |
| Non-majority | 89 (16.36) | |
| Income ( | ||
| $0–59,999 | 178 (32.96) | |
| ≥ $60,000 | 362 (67.04) | |
| Tested for coronavirus | ||
| Not tested | 498 (91.54) | |
| Results pending | 7 (1.29) | |
| Negative | 36 (6.62) | |
| Positive | 3 ( .55) | |
| Perceived exposurea | 44 (8.10) | |
| Food insecurity | 76 (13.97) | |
| Financial insecurity | 60 (11.03) | |
| Reduced access medical care | 216 (39.71) | |
| Loss of employment/income | 118 (21.69) | |
| Stringent sheltering at home | 95 (17.53) | |
| Illness/death of loved one | 33 ( 6.07) | |
acoded as not aware of significant exposure vs. perception of significant or prolonged exposure in a social/community setting, work setting, home setting, or other setting
Correlations of found global and situational meaning variables with adjustment to COVID-19
| Found global meaning | Found situational meaning | Found situational information | Found situational cause | Found situational social comp | Found situational existential | Found situational purpose | Found situational pos relig | Found situational neg relig | |
|---|---|---|---|---|---|---|---|---|---|
| General stress | -.38* | -.13* | -.14* | -.09 | -.03 | -.16* | -.03 | .02 | .13* |
| Helplessness (log) | -.20* | -.06 | -.12* | -.09 | .02 | -.05 | .03 | .01 | .04 |
| Acceptance | .30* | .32* | .20* | .25* | .21* | .26* | .11* | .06 | -.04 |
Cause Causal attributions; Social comp Social comparisons; Existential Existential understanding; Pos relig Positive religious framework; Neg relig Negative religious framework; log transformations were used for positive and negative religious framework; *p < .0167
Correlations of seeking global and situational meaning variables with adjustment to COVID-19
| Seeking global meaning | Seeking situational meaning | Seeking situational information | Seeking situational cause | Seeking situational social comp | Seeking situational existential | Seeking situationalpurpose | Seeking situational pos relig | Seeking situational neg relig | |
|---|---|---|---|---|---|---|---|---|---|
| General stress | .30* | .24* | .06 | .10 | .22* | .29* | .22* | .13* | .20* |
| Helplessness (log) | .22* | .28* | .17* | .20* | .19* | .27* | .20* | .14* | .20* |
| Acceptance | -.24* | -.11* | .00 | -.12* | -.05 | -.14* | -.09 | -.05 | -.11* |
Cause Causal attributions; Social comp Social comparisons; Existential Existential understanding; Pos relig Positive religious framework; Neg relig Negative religious framework; log transformations were used for positive and negative religious framework; *p < .0167
Multiple regression predicting adjustment to COVID-19 from global meaning variables
| Predictors | B | SE | Adjusted | |||
|---|---|---|---|---|---|---|
| 30.26 | .39 | < .0001 | ||||
| Age | -.102 | .018 | -.196* | |||
| Gender | 1.408 | .630 | .077 | |||
| Race/ethnicity | -.293 | .755 | -.014 | |||
| Family income | -.608 | .588 | -.037 | |||
| Prior mental health diagnosis | 2.949 | .558 | .190* | |||
| Loss of job/income | -.326 | .653 | -.017 | |||
| Food insecurity | .349 | .849 | .016 | |||
| Financial insecurity | 1.367 | .922 | .056 | |||
| Reduced access to medical care | .100 | .567 | .006 | |||
| Disruption in daily life (log) | 21.426 | 2.868 | .281* | |||
| Found global meaning | -.340 | .041 | -.293* | |||
| Seeking global meaning | .080 | .034 | .085 | |||
| 33.60 | .30 | < .0001 | ||||
| Gender | .020 | .011 | .064 | |||
| Family income | -.011 | .010 | -.041 | |||
| Reduced access to medical care | .004 | .010 | .017 | |||
| Food insecurity | -.014 | .015 | -.038 | |||
| Disruption in daily life (log) | .614 | .051 | .483* | |||
| Found global meaning | -.003 | .001 | -.164* | |||
| Seeking global meaning | .001 | .001 | .092 | |||
| 15.21 | .21 | .0001 | ||||
| Age | .005 | .010 | .021 | |||
| Education | .105 | .077 | .056 | |||
| Gender | -1.042 | .359 | -.114* | |||
| Race/ethnicity | .430 | .424 | .041 | |||
| Family income | .270 | .346 | .033 | |||
| Reduced access to medical care | -.110 | .322 | -.014 | |||
| Food insecurity | -.242 | .471 | -.022 | |||
| Disruption in daily life (log) | -9.764 | 1.633 | -.256* | |||
| Found global meaning | .146 | .024 | .252* | |||
| Seeking global meaning | -.048 | .020 | -.101 |
*p < .0167; adependent variables are italicized
Race/ethnicity coded for analysis non-majority vs. majority; family income coded < $60,000 vs. ≥ $60,000; prior mental health diagnosis, loss of job/income due to pandemic, reduced access to medical care due to pandemic, food insecurity, and financial insecurity each coded no/not sure vs. yes,
Multiple regression predicting adjustment to COVID-19 from situational meaning variables
| Predictors | B | SE | Adjusted | |||
|---|---|---|---|---|---|---|
| 24.39 | .34 | .0001 | ||||
| Age | -.126 | .019 | -.242* | |||
| Gender | 1.157 | .661 | .063 | |||
| Race/ethnicity | .586 | .791 | .028 | |||
| Family income | -1.495 | .609 | -.091 | |||
| Prior mental health diagnosis | 3.457 | .577 | .223* | |||
| Loss of job/income | .066 | .678 | .004 | |||
| Food insecurity | -.035 | .893 | -.002 | |||
| Financial insecurity | 1.217 | .963 | .050 | |||
| Reduced access to medical care | .278 | .588 | .018 | |||
| Disruption in daily life (log) | 19.233 | 3.045 | .253* | |||
| Found situational meaning | -.116 | .023 | -.184* | |||
| Seeking situational meaning | .115 | .024 | .193 | |||
| 34.02 | .30 | .0001 | ||||
| Gender | .015 | .011 | .049 | |||
| Family income | -.021 | .010 | -.076 | |||
| Reduced access to medical care | .006 | .010 | .022 | |||
| Food insecurity | -.022 | .015 | -.059 | |||
| Disruption in daily life (log) | .586 | .052 | .460* | |||
| Found situational meaning | -.002 | .000 | -.161* | |||
| Seeking situational meaning | .002 | .000 | .203* | |||
| 18.24 | .24 | .0001 | ||||
| Age | .013 | .010 | .049 | |||
| Education | .131 | .075 | .069 | |||
| Gender | -.901 | .354 | -.098 | |||
| Race/ethnicity | .023 | .416 | .002 | |||
| Family income | .533 | .336 | .065 | |||
| Reduced access to medical care | -.177 | .314 | -.022 | |||
| Food insecurity | -.198 | .466 | -.018 | |||
| Disruption in daily life (log) - | 10.458 | 1.628 | -.274* | |||
| Found situational meaning | .113 | .013 | .359* | |||
| Seeking situational meaning | -.035 | .013 | -.117* |
*p < .0167; adependent variables are italicized
Race/ethnicity coded for analysis non-majority vs. majority; family income coded < $60,000 vs. ≥ $60,000; prior mental health diagnosis, loss of job/income due to pandemic, reduced access to medical care due to pandemic, food insecurity, and financial insecurity each coded no/not sure vs. yes,
Fig. 1Interactions of searching for and found global meaning in relation to adjustment measures