Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures
Abstract
:1. Introduction
1.1. Mindfulness as a Protective Factor during the COVID-19 Crisis
1.2. Relationship between Mindfulness and Sleep Quality and Mood
1.3. Relationship between Mindfulness and Compliance with Prophylactic Measures
1.4. Previous Evidence Collected during the COVID-19 Crisis
1.5. Our Contribution
2. Method
2.1. Data and Survey
2.2. Mindfulness Attention Awareness Scale
2.3. Well-Being
2.4. Compliant Behaviors
2.5. Control Variables
3. Results
3.1. Distribution and Descriptive Statistics of the MAAS Scores
3.2. Distribution and Correlation of Dependent Variables
3.2.1. Well-Being
3.2.2. Compliant Behaviors
3.3. Explanatory Power of Mindfulness
3.3.1. Well-Being
3.3.2. Compliant Behaviors
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. MAAS English and French Version
References
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INSEE Census | Accepted (N = 5331) | Completed (N = 1154) | |
---|---|---|---|
Gender | |||
Male | 47.72% | 47.77% | 51.17% |
Female | 52.28% | 52.23% | 48.83% |
Age | |||
[18, 24] | 10.66% | 8.59% | 8.25% |
[25, 34] | 15.72% | 15.52% | 13.90% |
[35, 49] | 25.59% | 25.44% | 24.24% |
[50, 64] | 24.72% | 27.45% | 28.32% |
[65, +∞] | 23.31% | 23.00% | 25.28% |
Professional and Social Categories (INSEE definition: PCS) | |||
Agriculteurs exploitants (Farmers) | 0.94% | 0.86% | 0.78% |
Artisans, commerçants, chefs entreprise (Craftsmen, merchants, business leaders) | 3.33% | 3.56% | 4.17% |
Cadres, professions intellectuelles sup, professions libérales (Executives, superior intellectual professions, liberal professions) | 8.83% | 9.01% | 16.94% |
Professions intermédiaires (Intermediate professions) | 13.96% | 15.57% | 18.16% |
Employés (Employees) | 16.57% | 16.87% | 14.60% |
Ouvriers (Workers) | 13.38% | 13.00% | 7.73% |
Retraités (Retired) | 26.44% | 28.24% | 29.89% |
Autres sans activité professionnelle (Others without professional activity) | 16.55% | 12.89% | 7.73% |
Geographical Area (UDA-9 definition) | |||
REGION PARISIENNE | 18.79% | 18.69% | 17.29% |
BP OUEST | 9.31% | 9.25% | 8.34% |
BP EST | 7.76% | 7.75% | 7.73% |
NORD | 6.41% | 6.34% | 5.13% |
OUEST | 13.63% | 13.51% | 13.64% |
EST | 8.52% | 8.52% | 10.08% |
SUD OUEST | 10.94% | 11.26% | 12.16% |
SUD EST | 12.10% | 12.12% | 12.60% |
MEDITERANEE | 12.53% | 12.57% | 13.03% |
Urban Unit (INSEE definition) | |||
<2000 inhabitants | 22.51% | 22.29% | 21.98% |
Between 2 k and 20 k | 17.38% | 17.67% | 17.99% |
Between 20 k and 100 k | 13.55% | 13.73% | 13.55% |
More than 100 k | 29.88% | 30.02% | 31.28% |
Parisian urban unit | 16.67% | 16.29% | 15.20% |
Variable | Description | Mean (SD) | Median |
---|---|---|---|
Gender | 1 = the individual reports being a male (NA = the individual reports “other”: removed for the analysis) | 51.09% (0.50) | 1 |
Age | In years | 50.65 (16.98) | 52 |
Monthly Income | Respondent’s monthly household income. 0 = “<EUR 1000”; 1 = “EUR 1000~2000”; 2 = “EUR 2000~3000”; 3 = “EUR 3000~4000”; 4 = “EUR 4000~5000”; 5 = “EUR 5000~6000”; 6 = “EUR 6000~7000”; 7 = “EUR 7000~8000”; 8 = “EUR 8000~9000”; 9 = “EUR 9000~10,000”; 10 = “EUR 10,000~15,000”; 11 = “>EUR 15,000” (NA = “I don’t know/I don’t want to reply”: removed from the analysis) | 3.00 (2.28) | 3 |
Education Level | 0 = “No diploma”; 1 = “Certificate from primary school to high school”; 2 = “Bachelor’s degree”; 3 = “Master’s degree or PhD” | 2.15 (0.78) | 2 |
Vulnerable Person | 1 = the respondent suffers a chronic illness that makes them vulnerable to the threat of COVID-19 | 44.89% (0.68) | 0 |
Living Conditions | 1 = the respondent lives with someone who is vulnerable to the threat of COVID-19 because of their age or a chronic illness | 20.80% (0.41) | 0 |
Study | Sample Size (Representative?) | Country | Mean | Standard Deviation | |
---|---|---|---|---|---|
[54] Brown and Ryan (2003) | 74 (No) | USA | 3.97 | 0.64 | 0.86 |
[75] Carlson and Brown (2005) | 149 (No) | Canada | 4.45 | 0.77 | 0.87 |
[76] Barajas and Garra (2014) | 100 (No) | Spain | 4.08 | 0.68 | 0.88 |
[77] Montes et al. (2014) 1 | 367 (No) | Argentina | 3.88 | - | 0.87 |
Our sample | 1154 (Yes) | France | 4.33 | 0.71 | 0.84 |
Lockdown Compliance | Mask Wearing | Coughing in Sleeves | Not Touching Faces | Physical Distancing | |
---|---|---|---|---|---|
Washing hands | 0.239 *** | 0.159 *** | 0.225 *** | 0.216 *** | 0.118 *** |
Physical distancing | 0.226 *** | 0.211 *** | 0.0512 · | 0.215 *** | |
Not touching faces | 0.193 *** | 0.212 *** | 0.147 *** | ||
Coughing in sleeves | 0.108 *** | 0.125 *** | |||
Mask wearing | 0.228 *** |
Ordered Probit Regression | (1) | (2) |
---|---|---|
Dependent Variable | Sleep Quality Impact Degree | Mood Impact Degree |
MAAS score | 0.1285 * (0.0568) | 0.1516 ** (0.0525) |
Men | 0.3174 *** (0.0816) | 0.1230 · (0.0744) |
Age | 0.0060 * (0.0026) | 0.0103 *** (0.0023) |
Monthly Income | 0.0354 · (0.0190) | 0.0278 (0.0172) |
Education Level | −0.0833 (0.0562) | −0.0209 (0.0510) |
Vulnerable Person | −0.1667 ** (0.0609) | −0.0593 (0.0565) |
Living Conditions | −0.0374 (0.1002) | −0.0382 (0.0921) |
/cut1 | −0.9351 ** (0.2920) | −0.7524 ** (0.2707) |
/cut2 | 0.1342 (0.2895) | 0.7816 ** (0.2694) |
/cut3 | 3.1413 *** (0.3124) | 3.09371 *** (0.2824) |
/cut4 | 3.8110 *** (0.3654) | 3.6338 *** (0.2960) |
N | 1027 | 1027 |
Log-likelihood | −726.9622 | −880.4104 |
AIC | 1475.924 | 1782.821 |
Dependent Variable | Marginal Effect Type | Level 0 “Considerably Deteriorated” | Level 1 “Deteriorated” | Level 2 “No Impact” | Level 3 “Improved” | Level 4 “Considerably Improved” |
---|---|---|---|---|---|---|
Sleep Quality | MEM | −0.0099 * (0.0045) | −0.0290 * (0.0129) | 0.0350 * (0.0155) | 3.2506 × 10−3 * (1.6519 × 10−3) | 6.9100 × 10−4 5.4182 × 10−4 |
AME | −0.0107 * (0.0049) | −0.0275 * (0.0122) | 0.0338 * (0.0149) | 3.6363 × 10−3 · (1.8597 × 10−3) | 8.8847 × 10−4 · 6.7763 × 10−4 | |
Mood | MEM | −0.0081 ** (0.0030) | −0.0460 ** (0.0161) | 0.0430 ** (0.0151) | 0.0076 ** (0.0029) | 3.5500 × 10−3 * (1.5778 × 10−3) |
AME | −0.0089 ** (0.0033) | −0.0440 ** (0.0151) | 0.0409 ** (0.0141) | 0.0078 ** (0.0030) | 0.0041 * (0.0018) |
Ordered Probit Models | (1) | (2) | (3) | (4) | (5) | (6) |
---|---|---|---|---|---|---|
Dependent Variable | Washing Hands | Coughing in Sleeves | Not Touching Faces | Mask Wearing | Physical Distancing | Lockdown |
MAAS Score | 0.1094 · (0.0582) | 0.1518 ** (0.0538) | 0.0922 · (0.0488) | 0.0966 · (0.0525) | 0.1356 * (0.0628) | 0.1506 ** (0.0488) |
Gender | −0.5998 *** (0.0841) | −0.2792 *** (0.0759) | −0.2555 *** (0.0695) | −0.3272 *** (0.0748) | −0.1513 (0.0910) | −0.3474 *** (0.0693) |
Age | −0.0062 * (0.0025) | −0.0114 *** (0.0024) | 0.0059 ** (0.0022) | 0.0124 *** (0.0023) | 0.0227 *** (0.0029) | 0.0049 * (0.0021) |
Monthly Income | 0.0208 (0.0194) | 0.0083 (0.0175) | 0.0168 (0.0160) | −0.0034 (0.0168) | 0.0167 (0.0218) | 0.0191 (0.0160) |
Education Level | −0.0216 (0.0546) | 0.1145 * (0.0509) | 0.0043 (0.0472) | 0.0017 (0.0508) | 0.0434 (0.0629) | 0.0052 (0.0468) |
Vulnerable Person | 0.0174 (0.0625) | −0.0612 (0.0566) | −0.0146 (0.0528) | 0.1785 ** (0.0580) | −0.0087 (0.0688) | 0.0712 (0.0528) |
Living Conditions | 0.1296 (0.1031) | 0.1036 (0.0934) | 0.0052 (0.0863) | 0.1650 · (0.0947) | 0.0751 (0.1173) | 0.1070 (0.0858) |
/cut2 | −2.3148 *** (0.3084) | −1.4880 *** (0.2790) | −1.0392 *** (0.2544) | −0.8406 ** (0.2726) | −0.9646 ** (0.3494) | −2.0832 *** (0.3307) |
/cut3 | −1.5240 *** (0.2967) | −0.7793 ** (0.2749) | 0.1837 (0.2509) | −0.1126 (0.2685) | −0.2280 (0.3235) | −1.8556 *** (0.2973) |
/cut4 | −0.7030 * (0.2936) | 0.0101 (0.2737) | 1.2012 *** (0.2525) | 0.9066 *** (0.2693) | 0.9099 ** (0.3219) | −1.6636 *** (0.2808) |
/cut5 | −1.4964 *** (0.2710) | |||||
/cut6 | −1.1633 *** (0.2594) | |||||
/cut7 | −0.9306 *** (0.2550) | |||||
/cut8 | −0.3251 (0.2503) | |||||
/cut9 | 0.4114 · (0.2495) | |||||
/cut10 | 1.1208 *** (0.2510) | |||||
N | 1026 | 995 | 1007 | 1003 | 1025 | 1027 |
Log-likelihood | −804.4848 | −1041.968 | −1228.808 | −1035.511 | −569.0606 | −1464.038 |
AIC | 1628.97 | 2103.936 | 2477.617 | 2091.022 | 1158.121 | 2960.076 |
Dependent Variable | Marginal Effect Type | Level 1 “Never” | Level 2 “Sometimes” | Level 3 “Often” | Level 4 “Very Often” |
---|---|---|---|---|---|
Washing Hands | MEM | −3.7441 × 10−3 · (2.1203 × 10−3) | −0.0121 · (0.0065) | −0.0206 · (0.0110) | 0.0364 · (0.0193) |
AME | −0.0045 · (0.0025) | −0.0121 · (0.0065) | −0.0185 · (0.0098) | 0.0351 · (0.0186) | |
Coughing in Sleeves | MEM | −0.0145 ** (0.0053) | −0.0229 ** (0.0083) | −0.0220 ** (0.0081) | 0.0595 ** (0.0211) |
AME | −0.0155 ** (0.0058) | −0.0218 ** (0.0078) | −0.0200 ** (0.0071) | 0.0573 ** (0.0201) | |
Not Touching Faces | MEM | −0.0092 · (0.0049) | −0.0242 · (0.0128) | 2.1515 × 10−3 (1.6241 × 10−3) | 0.0312 · (0.0165) |
AME | −0.0094 · (0.0051) | −0.0235 · (0.0124) | 2.0568 × 10−3 · (1.5472 × 10−3) | 0.0309 · (0.0163) | |
Mask Wearing | MEM | −0.0072 · (0.0040) | −0.0138 · (0.0075) | −0.0174 · (0.0096) | 0.0384 · (0.0209) |
AME | −0.0080 · (0.0045) | −0.0131 · (0.0072) | −0.0155 · (0.0084) | 0.0366 · (0.0198) |
Dependent Variable | Marginal Effect Type | Level 1 “Never” | Level 2 “Sometimes” | Level 3 “Often” | Level 4 “Very Often” |
---|---|---|---|---|---|
Physical Distancing | MEM | −1.1141 × 10−3 (7.1219 × 10−4) | −0.0055 * (0.0027) | −0.0291 * (0.0135) | 0.0357 * (0.0165) |
AME | −0.0018 (0.0011) | −0.0065 * (0.0032) | −0.0265 * (0.0123) | 0.0349 * (0.0161) |
Dependent Variable | Marginal Effect Type | Level 1~10 (From “Not at All” to “Strictly”) | ||||||
---|---|---|---|---|---|---|---|---|
1~4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
Lockdown Compliance | MEM | n.s. | −4.0928 × 10−3 * (1.6652 × 10−3) | −4.3991 × 10−3 * (1.7395 × 10−3) | −0.0178 ** (0.0060) | −0.0244 ** (0.0081) | −3.3087 × 10−3 · (1.8140 × 10−3) | 0.0579 ** (0.0187) |
AME | n.s. | −4.2632 × 10−3 (1.7452 × 10−3) | −4.4565 × 10−3 * (1.7648 × 10−3) | −0.0230 ** (0.0075) | −0.0174 ** (0.0058) | −3.0658 × 10−3 · (1.6639 × 10−3) | 0.0565 ** (0.0182) |
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Wen, X.; Rafaï, I.; Duchêne, S.; Willinger, M. Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures. Int. J. Environ. Res. Public Health 2022, 19, 5051. https://doi.org/10.3390/ijerph19095051
Wen X, Rafaï I, Duchêne S, Willinger M. Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures. International Journal of Environmental Research and Public Health. 2022; 19(9):5051. https://doi.org/10.3390/ijerph19095051
Chicago/Turabian StyleWen, Xinyue, Ismaël Rafaï, Sébastien Duchêne, and Marc Willinger. 2022. "Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures" International Journal of Environmental Research and Public Health 19, no. 9: 5051. https://doi.org/10.3390/ijerph19095051
APA StyleWen, X., Rafaï, I., Duchêne, S., & Willinger, M. (2022). Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures. International Journal of Environmental Research and Public Health, 19(9), 5051. https://doi.org/10.3390/ijerph19095051