2023
DOI: 10.1111/opn.12554
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The role of pet attachment in alleviating the negative effects of loneliness on a health‐promoting lifestyle: An empirical study based on threshold effects for pet owners

Jiao Lu,
Erxing Ren,
Xinyu Guo
et al.

Abstract: BackgroundA health‐promoting lifestyle is acknowledged as a ‘positive ageing’ strategy for older people. The inevitable decline in their social networks may lead to loneliness and subsequently damage their health‐promoting lifestyle. Therefore, pet owning has become a popular way for them to alleviate loneliness. However, the attachment resulting from pet ownership may either facilitate or impede older people's ability to counteract the negative effect of loneliness on health‐promoting lifestyles, and this eff… Show more

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Cited by 2 publications
(2 citation statements)
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“…When "Pre" was used as the threshold variable, the estimated value for a single threshold was 532.342 mm, with a 95% confidence interval of [413.342, 559.629]. The estimated values for the second threshold (694.178 mm) and the third threshold (285.953 mm) were both outside of this interval, indicating significant differences between the second and third threshold values compared to the first single threshold value [29]. However, by examining the results of the LR test in Figure 6, the LR values were consistently below the critical threshold (Figure 6d), suggesting that the confidence interval for the third threshold is excessively wide and cannot effectively contribute to the threshold convergence.…”
Section: Test Of Threshold Value Authenticitymentioning
confidence: 99%
See 1 more Smart Citation
“…When "Pre" was used as the threshold variable, the estimated value for a single threshold was 532.342 mm, with a 95% confidence interval of [413.342, 559.629]. The estimated values for the second threshold (694.178 mm) and the third threshold (285.953 mm) were both outside of this interval, indicating significant differences between the second and third threshold values compared to the first single threshold value [29]. However, by examining the results of the LR test in Figure 6, the LR values were consistently below the critical threshold (Figure 6d), suggesting that the confidence interval for the third threshold is excessively wide and cannot effectively contribute to the threshold convergence.…”
Section: Test Of Threshold Value Authenticitymentioning
confidence: 99%
“…It takes the value 1 when the threshold variable is within that interval; otherwise, it takes 0. λ is the estimated threshold value, β is the coefficient estimated using the nonlinear least square method, k is the number of thresholds, γ is the coefficient of each control variable, and ε is the random disturbance term in the model. The testing of the threshold model primarily consists of two parts [27][28][29]. First is the F-test for the existence of threshold effects, that is, the significance test of threshold effects, with the null hypothesis H 0 :…”
Section: Cross-sectional Threshold Modelmentioning
confidence: 99%