| Literature DB >> 35497037 |
Prasath Selvaraj1, Anbu Krishnamoorthy1, Shankavi Vivekanandhan2, Haritha Manoharan3.
Abstract
With the progression of the coronavirus disease (COVID-19), lockdowns were introduced, movements were restricted, and the people were confined to their homes. On the other side, the social distancing measures and the shutdown of movements showed a significant impact on the ecosystem resulting in an explicit revamp of nature. These nature rejuvenation and home confinement measures were presumed to improve the human-nature connection and affect the wellbeing of the individuals. Guided by this aspect, the present study attempted to examine nature relatedness and mental wellbeing of the Indian population during the COVID-19 pandemic. We further tried to investigate the relationship between the two considering age and gender as moderators. In addition, the association between nature relatedness and various socio-demographic factors were also inquired. A three-week online survey was conducted among the general Indian population with the age group ranging from 18 to 65 years. Results exhibited a higher nature relatedness and moderate mental wellbeing among the individuals. The association between nature relatedness and mental wellbeing produced a significant positive relationship among the sample. Meanwhile, individuals with higher nature relatedness were found to be female, unemployed, research scholars, and possessing 'very liberal' political ideology. When assessed for potential moderators, neither gender nor age influenced the relationship between nature relatedness and mental wellbeing. Possible explanations of our findings were discussed that shall provide constructive directions for future research in the area of human-nature connection and public health.Entities:
Keywords: COVID-19; India; Nature relatedness; Pandemic; Political ideology; Wellbeing
Year: 2022 PMID: 35497037 PMCID: PMC9035615 DOI: 10.1016/j.heliyon.2022.e09327
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Descriptive statistics of socio-demographic and scale variables.
| Variables (N = 386) | Categories | Frequency | Percent | NR Score | |
|---|---|---|---|---|---|
| M | SD | ||||
| Nature Relatedness (Mean – 23.03; SD – 3.39) | High (19–30) | 348 | 90.2 | 23.72 | 2.78 |
| Low (6–18) | 38 | 9.8 | 16.76 | 1.55 | |
| Mental Wellbeing (Mean – 23.65; SD – 4.30) | High (26–35) | 138 | 35.8 | 27.98 | 2.24 |
| Moderate (17–25) | 224 | 58.0 | 22.00 | 2.13 | |
| Poor (7–16) | 24 | 6.2 | 14.17 | 1.83 | |
| Age (Mean – 24.90yrs) | Below 25 years | 223 | 57.8 | 22.86 | 3.33 |
| 25 years & Above | 163 | 42.2 | 23.28 | 3.47 | |
| Gender∗ | Female | 238 | 61.7 | 23.33 | 3.31 |
| Male | 148 | 38.3 | 22.56 | 3.47 | |
| Locality | Rural | 108 | 28.0 | 23.21 | 3.40 |
| Urban | 179 | 46.4 | 23.04 | 3.53 | |
| Semi-Urban | 99 | 25.6 | 22.84 | 3.13 | |
| Religion | Hinduism | 253 | 65.5 | 23.03 | 3.35 |
| Islam | 23 | 6.0 | 22.87 | 3.06 | |
| Christianity | 37 | 9.6 | 22.57 | 3.35 | |
| Other | 9 | 2.3 | 22.78 | 5.17 | |
| Prefer not to say | 64 | 16.6 | 23.42 | 3.45 | |
| Marital Status | Single | 313 | 81.1 | 23.10 | 3.34 |
| Married | 69 | 17.9 | 22.65 | 3.66 | |
| Separated/Divorced | 4 | 1.0 | 24.25 | 1.71 | |
| Educational Status | Bachelor’s degree | 147 | 38.1 | 22.58 | 3.58 |
| Master’s degree | 166 | 43.0 | 23.26 | 3.13 | |
| MPhil | 13 | 3.4 | 24.16 | 3.21 | |
| PhD Scholar | 60 | 15.5 | 23.30 | 3.65 | |
| Employment Status∗ | Student | 149 | 38.6 | 22.93 | 3.36 |
| Research Scholar | 57 | 14.8 | 23.47 | 3.58 | |
| Employed | 118 | 30.6 | 23.02 | 3.38 | |
| Unemployed | 40 | 10.4 | 23.88 | 3.22 | |
| Home maker | 22 | 5.7 | 21.13 | 2.93 | |
| Political Ideology∗∗ | Very Liberal | 80 | 20.7 | 24.03 | 3.15 |
| Slightly Liberal | 52 | 13.5 | 22.81 | 2.92 | |
| Slightly Conservative | 31 | 8.0 | 22.61 | 3.65 | |
| Very Conservative | 11 | 2.8 | 24.72 | 3.55 | |
| No Idea | 122 | 31.6 | 22.26 | 3.53 | |
| Prefer not to say | 90 | 23.3 | 23.28 | 3.31 | |
∗p < 0.05; ∗∗p < 0.01.
ANOVA results of nature relatedness and employment status association.
| Variable | Student | Research Scholar | Employed | Unemployed | Home maker | F (4,381) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | M | SD | |||
| Nature Relatedness | 22.94 | 3.36 | 23.47 | 3.58 | 23.01 | 3.38 | 23.88 | 3.22 | 21.14 | 2.93 | 2.65∗ | 0.03 |
∗p < 0.05.
ANOVA results of nature relatedness and political ideology association.
| Variable | Very Liberal | Slightly Liberal | Slightly Conservative | Very Conservative | No Idea | Prefer Not to Say | F (5,380) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | M | SD | M | SD | |||
| Nature Relatedness | 24.03 | 3.15 | 22.80 | 2.92 | 22.61 | 3.64 | 24.73 | 3.55 | 22.26 | 3.53 | 23.28 | 3.31 | 3.52∗∗ | 0.04 |
∗∗p < 0.01.
Correlation analysis for nature relatedness on mental wellbeing.
| Variable | N | M | SD | 1 | 2 |
|---|---|---|---|---|---|
| 1. Nature Relatedness | 386 | 23.04 | 3.39 | - | |
| 2. Mental Wellbeing | 386 | 21.61 | 3.48 | .219∗∗∗ | - |
∗∗∗p < 0.001.
Regression analysis of nature relatedness on mental wellbeing.
| Predictor Variable | R | Std.Beta Value | t – value | R2 | Adjusted R2 | F ( |
|---|---|---|---|---|---|---|
| Nature Relatedness | 0.219∗∗ | 0.22 | 4.39 | 0.048 | 0.045 | 19.29∗∗∗ |
∗∗∗p < 0.001.
Regression analysis showing age, gender and nature relatedness as predictors of mental wellbeing.a
| Predictors | Cumulative | Simultaneous | |||
|---|---|---|---|---|---|
| R2-change | F-change | B | VIF | ||
| Step1 | |||||
| Age | 0.02 | F (2,383) = 3.45∗ | 0.10 | 0.043 | 1.019 |
| Gender | 0.08 | 0.11 | 1.029 | ||
| Step 2 | |||||
| Nature Relatedness | 0.05 | F (1,382) = 19.97∗∗ | 0.22 | <.001 | 1.016 |
∗p < .05, ∗∗p < .001.
n = 386.