| Literature DB >> 36230338 |
Sara Platto1, Agathe Serres2, Simona Normando3, Yanqing Wang4, Dennis C Turner5.
Abstract
Considering the effects that the COVID-19 pandemic had and still has on human psychological health, it is expected that it might also affect household dogs' and cats' welfare. The current study explores the behavioral changes in dogs and cats before (BL) and during the lockdown (DL), as reported by their owners in China. Besides demographic parameters, variables related to the daily management of dogs and cats were analyzed in relation to behavioral problems, stress-related behaviors, and anxiety-related behaviors before and during the lockdown. A total of 261 questionnaires were collected. In general, behavioral problems and stress-related behaviors in dogs (p < 0.001) and cats (p < 0.001) decreased DL compared to BL, while anxiety-related behaviors in cats did not show any differences between the two periods considered. On the other hand, anxiety-related behaviors were more frequent in dogs DL (36.3%) compared to BL (35%), which were associated with reduced frequency of play activities with the owners (p = 0.016) and altered sleeping habits (p < 0.01). During the lockdown, dogs' and cats' daily routines and management (feeding and sleeping habits, dogs' walks, dogs' and cats' play activities, litter box management, and cats' lifestyle) experienced changes, but they were not associated with any behavioral issues. On the other hand, the behavioral issues considered for dogs and cats were more frequent BL, which were influenced by the daily management of the pets. The current study showed how critical the attention the owners can provide to the pets could be, to improve their companion animals' welfare. Therefore, it is important to provide pet owners with behavioral management support both during particularly difficult periods such as a lockdown and during regular daily routines.Entities:
Keywords: Wuhan lockdown; cats during the lockdown; dogs during the lockdown; pets during the lockdown in China; pets’ behavioral problems
Year: 2022 PMID: 36230338 PMCID: PMC9559505 DOI: 10.3390/ani12192596
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 3.231
List of variables related to the management of the household dogs (a) and cats (b) and the list of behavioral issues, each assessed BL and DL.
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| Dog’s living situation | Free to move in the house |
| Dog’s sleeping habits | Sleeps more during the day/occasionally awakens at night |
| Dog’s feeding habits | Finicky, good appetite, voracious |
| Dog’s play activity | 1 h/day, 30 min/day, 10 min/day, only when have time |
| Behavioral problems [ | House soiling (urination/defecation) |
| Stress-related behaviors [ | Hiding |
| Anxiety-related behaviors [ | Episodes of yawing |
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| Cat’s medical conditions | Specified by the owner |
| Cat’s living situation | Free to move in the house |
| Cat’s sleeping habits | Sleeps during the day/awake at night |
| Number of litter boxes | 0, 1–2, 3–4, 5+ |
| Changes of litter brand (number of times) | 0, 1, 2, 3+ |
| Litter refilling | Once a week, twice a week, once a month |
| Scooping litter | Once a day, twice a day, once a week |
| Cat’s feeding habits | Finicky, good appetite, voracious |
| Cat’s play activity | 30 min/day, 10 min/day, only when have time |
| Cat’s personality (before and during lockdown) | Social |
| Behavioral problems [ | Urine spraying |
| Stress-related behaviors [ | Hiding |
| Anxiety-related behaviors [ | Episodes of yawing |
Variables included in linear mixed-effects models (LMMs) for dogs (a) and cats (b).
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| Behavioral problems | – |
| Stress-related behaviors | – | |
| Anxiety-related behaviors | – | |
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| Family members | 1–2/3–4/≥5 |
| Living situation | Cage/free in the house/garden/terrace | |
| Walks frequency | 0–4 times a day | |
| Feeding frequency | Once a day/twice a day/anytime | |
| Food type | Dog food/table scraps | |
| Feeding habits | Finicky/good appetite/voracious | |
| Sleeping habits | Active daily, sleeping at night/sleeping daily, occasionally awake at night/awake at night | |
| Time spent playing | Never/10 min a day/when have time/30 min a day/1 h a day | |
| Medical condition | Yes/no | |
| Personality | Very calm/calm but willing to play/moderately active/very active | |
| Lockdown type | Flexible/medium/strict | |
| Period | Before lockdown/during lockdown | |
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| Individual | Individual ID |
| Breed | Individual breed | |
| Sex | Female/male | |
| Age | Puppy/adolescent/adult/senior | |
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| Behavioral problems | – |
| Stress-related behaviors | – | |
| Anxiety-related behaviors | – | |
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| Family members | 1–2/2–3/≥5 |
| Living situation | Cage with opportunity to go out occasionally/free in the house | |
| Lifestyle | Indoor/indoor and outdoor | |
| Feeding habits | Finicky/good appetite/voracious | |
| Sleeping habits | Sleeping around the clock/sleeping daily, occasionally awake at night/eratic nocturnal pattern and irregular daytime pattern | |
| Number of litter boxes | 1–5 | |
| Frequency of litter brand change | 0–3+ | |
| Frequency of litter refilling | Twice a week/once a week/once a month | |
| Frequency of litter scooping | Twice a day/once a day/once a week | |
| Time spent playing | Never/10 min a day/when have time/30 min a day/1 h a day | |
| Medical condition | Yes/no | |
| Personality | Fearful/limited social/social | |
| Lockdown type | Flexible/medium/strict | |
| Period | Before lockdown/during lockdown | |
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| Individual | Individual ID |
| Breed | Individual breed | |
| Sex | Female/male | |
| Age | Kitten/junior/prime/mature/geriatric |
Statistical outputs from linear mixed-effects models (LMMs) for dogs. Significant results (p < 0.05) are bold.
| Response Variable | Behavioral Problems | Stress-Related Behaviors | Anxiety-Related Behaviors | |
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| Family members | χ² = 2.86, df = 2, | χ² = 1.33, df = 2, | χ² = 1.24, df = 2, |
| Living situation | χ² = 2.93, df = 3, | χ² = 3.04, df = 3, | χ² = 1.54, df = 3, | |
| Walks frequency |
| χ² = 0.23, df = 1, | χ² = 0.30, df = 1, | |
| Feeding frequency | χ² = 0.04, df = 1, | χ² = 0.06, df = 1, | χ² = 0.99, df = 1, | |
| Food type | χ² = 1.75, df = 1, | χ² = 1.44, df = 1, | χ² = 2.26, df = 1, | |
| Feeding habits |
| χ² = 4.60, df = 2, | χ² = 1.62, df = 2, | |
| Sleeping habits | χ² = 3.15, df = 2, |
| χ² = 4.64, df = 2, | |
| Time spent playing | χ² = 0.04, df = 1, | χ² = 0.96, df = 1, |
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| Medical condition | χ² = 0.74, df = 1, |
| χ² = 0.04, df = 1, | |
| Personality | χ² = 4.09, df = 3, | χ² = 5.99, df = 3, | χ² = 2.30, df = 3, | |
| Lockdown type | χ² = 0.68, df = 2, | χ² = 2.01, df = 2, | χ² = 0.01, df = 2, | |
| Period |
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| χ² = 0.05, df = 1, | |
| Lockdown type * period | χ² = 2.93, df = 3, | χ² = 1.21, df = 2, | χ² = 1.16, df = 2, |
* Correlation between lockdown type and period (before and during lockdown).
Figure 1Means and 95% confidence intervals of dogs’ behavioral problems frequency depending on walks frequency (a), dogs’ feeding habits (b), and period (c) extracted from linear mixed-effect models (LMMs). *: p < 0.05; **: p < 0.01; ***: p < 0.001, Wald chi-squared tests with Bonferroni correction.
Figure 2Means and 95% confidence intervals of dogs’ stress-related behaviors’ frequency depending on dogs’ sleeping habits (a), medical condition (b), personality (c), and the period (d) extracted from linear mixed-effect models (LMMs). *: p < 0.05; **: p < 0.01; ***: p < 0.001, Wald chi-squared tests with Bonferroni correction.
Statistical outputs from ordinal logistic regressions for dogs.
| Response Variable | Aggressive Behaviors | Bites | |
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| Family members | χ² = 0.92, df = 2, | χ² = 0.58, df = 2, |
| Lockdown type | χ² = 0.13, df = 2, | χ² = 0.14, df = 2, | |
| Period | χ² = 0.22, df = 1, | χ² = 2.61, df = 1, | |
| Stress-related behaviors |
| χ² = 1.19, df = 1, | |
| Anxiety-related behaviors | χ² = 0.84, df = 1, | χ² = 1.30, df = 1, |
Figure 3Means and 95% confidence intervals of dogs’ aggressive behaviors’ frequency depending on the frequency of stress-related behaviors extracted from ordinal logistic regression. *: p < 0.05, Wald chi-squared test.
Figure 4Means and 95% confidence intervals of dogs’ anxiety-related behaviors’ frequency depending on the time spent by owners to play with dogs (a) and dogs’ sleeping habits (b) extracted from linear mixed-effect models (LMMs). *: p < 0.05; **: p < 0.01, Wald chi-squared tests with Bonferroni correction (significant results are bold: p < 0.05).
Statistical outputs from linear mixed-effects models (LMMs) for cats (significant results (p < 0.05) are in bold).
| Response Variable | Behavioral Problems | Stress-Related Behaviors | Anxiety-Related Behaviors | |
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| Family members | χ² = 1.75, df = 2, | χ² = 1.23, df = 2, | χ² = 0.86, df = 2, |
| Living situation |
| χ² = 0.88, df = 1, | χ² = 3.36, df = 1, | |
| Lifestyle | χ² = 0.87, df = 1, |
| χ² = 1.02, df = 1, | |
| Feeding habits | χ² = 5.95, df = 2, |
| χ² = 5.79, df = 2, | |
| Sleeping habits | χ² = 4.83, df = 2, | χ² = 2.19, df = 2, | χ² = 0.21, df = 2, | |
| Number of litter boxes | χ² = 0.01, df = 1, | χ² = 0.01, df = 1, | χ² = 0.44, df = 1, | |
| Frequency of litter brand change | χ² = 0.69, df = 1, |
| χ² = 0.49, df = 1, | |
| Frequency of litter refilling | χ² = 0.87, df = 1, | χ² = 0.03, df = 1, | χ² = 2.68, df = 1, | |
| Frequency of litter scooping |
| χ² = 0.03, df = 1, |
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| Time spent playing | χ² = 2.23, df = 1, | χ² = 0.00, df = 1, | χ² = 1.76, df = 1, | |
| Medical condition |
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| χ² = 0.83, df = 1, | |
| Personality | χ² = 2.89, df = 2, | χ² = 5.20, df = 2, | χ² = 0.09, df = 2, | |
| Lockdown type | χ² = 0.87, df = 2, | χ² = 3.06, df = 2, | χ² = 0.09, df = 2, | |
| Period |
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| χ² = 0.12, df = 1, | |
| Lockdown type * period | χ² = 1.46, df = 2, | χ² = 1.08, df = 2, | χ² = 3.29, df = 2, |
* Correlation between lockdown type and period (before and during lockdown).
Figure 5Means and 95% confidence intervals of cats’ behavioral problems frequency depending on cats’ living situation (a), feeding habits (b), sleeping habits (c), frequency of litter scooping (d), medical condition (e), and the period (f) extracted from linear mixed-effect models (LMMs). *: < 0.05; **: p < 0.01; ***: p < 0.001, Wald chi-squared tests with Bonferroni correction.
Figure 6Means and 95% confidence intervals of cats’ stress-related behaviors’ frequency depending on cats’ lifestyle (a), frequency of litter brand change (b), feeding habits (c), medical condition (d), and the period (e) extracted from linear mixed-effect models (LMMs). *: p < 0.05; ***: p < 0.001, Wald chi-squared tests with Bonferroni correction.
Figure 7Means and 95% confidence intervals of cats’ anxiety-related behaviors’ frequency depending on the frequency of litter scooping extracted from linear mixed-effect model (LMM). *: p < 0.05, Wald chi-squared test.
Statistical outputs from ordinal logistic regressions for cats.
| Response Variable | Aggressive Behaviors | Bites | |
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| Family members | χ² = 5.66, df = 2, | χ² = 0.90, df = 2, |
| Frequency of litter change | χ² = 0.14, df = 1, | χ² = 3.29, df = 1, | |
| Lockdown type | χ² = 0.37, df = 2, | χ² = 0.06, df = 2, | |
| Period | χ² = 2.61, df = 1, | χ² = 0.02, df = 1, | |
| Stress-related behaviors | χ² = 3.19, df = 1, | χ² = 2.47, df = 1, | |
| Anxiety-related behaviors | χ² = 3.66, df = 1, | χ² = 0.23, df = 1, |
Figure 8Means and 95% confidence intervals of cats’ aggressive behaviors’ frequency depending on the frequency of stress-related behaviors (a) and frequency of anxiety-related behaviors (b), extracted from ordinal logistic regressions. ●: p < 0.10, Wald chi-squared tests.
Figure 9Means and 95% confidence intervals of cats’ spraying frequency depending on the frequency of litter changing, extracted from ordinal logistic regression: ●: p < 0.10, Wald chi-squared test.