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Stress
The International Journal on the Biology of Stress
Volume 25, 2022 - Issue 1
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Research Article

The effect of COVID-19 lockdown on mental health, gut microbiota composition and serum cortisol levels

, , , , , , , , & show all
Pages 246-257 | Received 22 Dec 2021, Accepted 21 May 2022, Published online: 17 Jun 2022

Figures & data

Figure 1. Study design; CES-D: The Center for Epidemiologic Studies Depression Scale; STAIX-1: The State-Trait Anxiety Inventory; BD: Body Dissatisfaction; PANAS: The Positive and Negative Affect Schedule; PSS: The Perceived Stress Scale.

Figure 1. Study design; CES-D: The Center for Epidemiologic Studies Depression Scale; STAIX-1: The State-Trait Anxiety Inventory; BD: Body Dissatisfaction; PANAS: The Positive and Negative Affect Schedule; PSS: The Perceived Stress Scale.

Table 1. Lifestyle changes (n = 46).

Table 2. Psychological measures pre-lockdown and during lockdown (n = 46) and serum cortisol levels (µg/dl) pre-lockdown and post-lockdown (n = 38).

Figure 2. Correlation between changes in serum cortisol levels (µg/dl) and psychological measures in females (n = 24; darker line with a positive slope) and males (n = 14; lighter line with a negative slope) (a) Correlation between changes in serum cortisol levels (µg/dl) and perceived stress during lockdown; (b) Correlation between changes in serum cortisol levels (µg/dl) and anxiety during lockdown.

Figure 2. Correlation between changes in serum cortisol levels (µg/dl) and psychological measures in females (n = 24; darker line with a positive slope) and males (n = 14; lighter line with a negative slope) (a) Correlation between changes in serum cortisol levels (µg/dl) and perceived stress during lockdown; (b) Correlation between changes in serum cortisol levels (µg/dl) and anxiety during lockdown.

Figure 3. Gut microbiota composition changes at the phylum level; the relative abundance of bacterial phyla pre-lockdown and post-lockdown (n = 38; 24 males, 14 females).

Bar chart presents gut microbiota composition at the phylum level. It presents the relative abundance of bacterial phyla pre-lockdown and post-lockdown. Pre-lockdown, Bacteroidetes was the predominant group at the phylum level, with an average abundance of 54.47% (SD 17.76%), followed by Firmicutes with an average abundance of 38.56% (SD 15.79%). Proteobacteria (M 3.69%, SD 3.30%), Tenericutes (M 1.57%, SD 3.09%), Cyanobacteria (M 1.10%, SD 2.72%), Lentisphaerae (M 0.99%, SD 1.0%) and Actinobacteria (M 0.58%, SD 1.37%). Post-lockdown, Proteobacteria abundance significantly increased (Z = 2.027, p = 0.043) from 3.69% (SD 3.30%) to 5.06% (SD 4.97%).
Figure 3. Gut microbiota composition changes at the phylum level; the relative abundance of bacterial phyla pre-lockdown and post-lockdown (n = 38; 24 males, 14 females).

Figure 4. Gut microbiota composition changes at the genus level; the relative abundance of bacterial genera pre-lockdown and post-lockdown (n = 38; 24 males, 14 females).

Bar chart presents gut microbiota composition at the genus level. It presents the relative abundance of the most abundant genera, predominantly of the phyla Bacteroidetes and Firmicutes (Bacteroides, Faecalibacterium, Prevotella 9, Alistipes, Lachnospiraceae NK4A136 group, Parabacteroides, Ruminococcus, Agathobacter, Subdoligranulum, Christensenellaceae R-7 group, Clostridia UCG-014, Roseburia, Oscillospiraceae UCG-002, Blautia, Oscillospiraceae NK4A214 group and Lachnospiraceae uncultured; from most to less abundant genera). No statistically significant differences between pre-lockdown and post-lockdown levels were observed.
Figure 4. Gut microbiota composition changes at the genus level; the relative abundance of bacterial genera pre-lockdown and post-lockdown (n = 38; 24 males, 14 females).

Figure 5. Correlation between gut microbiota composition and psychological measures (n = 38; 24 males, 14 females) (a) Correlation between changes in Bacteroidetes abundance and depression during lockdown; (b) Correlation between changes in Firmicutes abundance and depression during lockdown; (c) Correlation between Alistipes abundance post-lockdown and anxiety during lockdown; (d) Correlation between Alistipes abundance post-lockdown and negative affect during lockdown.

Figure 5. Correlation between gut microbiota composition and psychological measures (n = 38; 24 males, 14 females) (a) Correlation between changes in Bacteroidetes abundance and depression during lockdown; (b) Correlation between changes in Firmicutes abundance and depression during lockdown; (c) Correlation between Alistipes abundance post-lockdown and anxiety during lockdown; (d) Correlation between Alistipes abundance post-lockdown and negative affect during lockdown.

Data availability statement

The data presented in this study are available on request from the corresponding author.