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Table 1.

Operational definitions of categories during the health observations.

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Table 1 Expand

Table 2.

Operational definitions of all of the behaviors that were observed during the in-kennel observation period.

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Table 2 Expand

Table 3.

Operational definitions of the behaviors that were observed in all three components during the behavioral assessment.

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Table 3 Expand

Table 4.

Operational definitions of the additional behaviors that were observed in the sociability and the curiosity components during the behavioral assessment.

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Table 5.

Indicator variables for each temperament latent construct.

Four latent variables (Curiosity, Sociability, Anxiety, and Activity) were indicated by four or more behavioral variables. Every variable name begins with the context of the behavior (Bold/shy test [BoldShy], sociability test [Sociability], activity test [Activity], and in-kennel behavior observations on Day 1 [Kennel1] and Day 3 [Kennel2]).

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Fig 1.

Loadings of all of the variables in the final model.

Raw data as well as all codes from the statistical software R are available as supplementary material (S1 File).

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Fig 1 Expand

Fig 2.

The nose and eye condition and coughing as a factor of days spent in the shelter.

A) The mean nose condition (range: 0–4; 0—no discharge, 1—clear discharge, 2—colored discharge, 3—crust, 4- bloody discharge) as a factor of days spent in the shelter. Error bars represent 95% confidence intervals. B) The mean eye condition (range: 0–3; 0—no discharge, 1—clear discharge but no irritation, 2—clear discharge with irritation, 3—pus) as a factor of days spent in the shelter. Error bars represent 95% confidence intervals. C) The proportion of coughing as a factor of days spent in the shelter. D) The proportion of sneezing as a factor of days spent in the shelter. Note that the number of dogs were decreasing across days. See attrition rates in Table 6.

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Fig 2 Expand

Fig 3.

The mean rectal temperature (in celsius; C) as a factor of days spent in the shelter.

Error bars represent 95% confidence intervals and dots represent individual data. A horizontal line at 39.16°C represents a determination of fever.

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Fig 3 Expand

Table 6.

Attrition of dogs from the study across time.

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Table 6 Expand

Table 7.

Latent variable unidimensionality.

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Table 7 Expand

Table 8.

Latent variable loadings.

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Fig 4.

Path analysis model.

The numbers are the proportion of variance explained with each variable out of the total variance explained by the model.

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Fig 4 Expand

Fig 5.

Effect of sociability and curiosity on illness scores.

As Sociability and Curiosity increased, illness scores increased. Line shows linear regression and shading indicates model 95% confidence interval.

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Fig 5 Expand

Table 9.

Path analysis model.

Estimates, standard error (Std. Error), t value, p-value, and 95% Confidence Interval (CI) are shown for the model.

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Table 9 Expand

Table 10.

Linear mixed model with ID as a random effect, and cortisol and time in shelter as variables associated with illness score.

Estimates, standard error (Std. Error), degrees of freedom (df), t value, and p-value are shown for the model.

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Table 11.

Correlation matrix correlation values.

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Table 11 Expand