| Literature DB >> 35196354 |
Yu Taniguchi1,2, Satoshi Seino2, Bruce Headey3, Toshiki Hata2, Tomoko Ikeuchi4, Takumi Abe2, Shoji Shinkai2,5, Akihiko Kitamura2.
Abstract
OBJECTIVES: This study examined the association between dog and cat ownership, the onset of disability and all-cause mortality in an older population. Dog and cat owners take more regular exercise and have closer social relationships than non-owners. We further assess the beneficial effects of these moderating variables on the onset of disability and mortality.Entities:
Mesh:
Year: 2022 PMID: 35196354 PMCID: PMC8865647 DOI: 10.1371/journal.pone.0263791
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline demographic and health characteristics among community-dwelling older Japanese with and without experience of dog/cat ownership.
| Variable | Experience of dog/cat ownership | ||||
|---|---|---|---|---|---|
| Current (n = 1545, 13.8%) | Past (n = 3311, 29.5%) | Never (n = 6377, 56.8%) | Total (n = 11233) | P-Value | |
| Sex (female) | 52.7 | 53.3 | 50.4 | 51.5 | .016 |
| Age, years (%) | < .001 | ||||
| 65–74 | 59.4 | 46.3 | 45.6 | 47.7 | |
| 75–84 | 40.6 | 53.7 | 54.4 | 52.3 | |
| Household size (%) | < .001 | ||||
| Living alone | 9.1 | 18.5 | 23.8 | 22.2 | |
| Living together | 89.3 | 79.3 | 74.1 | 77.7 | |
| Missing | 1.6 | 2.2 | 2.1 | 2.1 | |
| Marital status (%) | < .001 | ||||
| Married | 72.8 | 67.2 | 63.3 | 65.8 | |
| Divorced, Widowed, Single | 25.6 | 30.8 | 34.6 | 32.2 | |
| Missing | 1.6 | 2.0 | 2.1 | 2.0 | |
| Educational attainment (%) | < .001 | ||||
| Elementary school, Middle school, Others | 21.0 | 21.7 | 29.8 | 26.3 | |
| High school | 36.4 | 36.5 | 39.0 | 37.9 | |
| College, university, or graduate school | 41.2 | 40.4 | 29.5 | 34.3 | |
| Missing | 1.4 | 1.4 | 1.7 | 1.5 | |
| Equivalent income (%) | < .001 | ||||
| <1,000,000 yen | 5.6 | 6.4 | 7.3 | 6.8 | |
| 1,000,000 yen– 2,500,000 yen | 26.7 | 28.6 | 33.3 | 31.0 | |
| 2,500,000 yen– 4,000,000 yen | 23.0 | 23.8 | 24.5 | 24.1 | |
| ≥4,000,000 yen | 24.2 | 21.7 | 15.3 | 18.4 | |
| Unknown | 15.9 | 13.7 | 12.9 | 13.5 | |
| Missing | 4.7 | 5.8 | 6.6 | 6.1 | |
| History of hypertension (%) | .743 | ||||
| Yes | 52.1 | 51.9 | 52.2 | 52.1 | |
| No | 43.9 | 44.2 | 43.4 | 43.7 | |
| Missing | 3.9 | 3.9 | 4.4 | 4.2 | |
| History of hyperlipidemia (%) | .332 | ||||
| Yes | 41.9 | 39.7 | 39.3 | 39.8 | |
| No | 52.1 | 54.7 | 54.6 | 54.3 | |
| Missing | 6.0 | 5.6 | 6.1 | 5.9 | |
| History of heart disease (%) | .470 | ||||
| Yes | 19.9 | 21.7 | 20.4 | 20.7 | |
| No | 74.1 | 73.0 | 73.7 | 73.6 | |
| Missing | 6.0 | 5.4 | 5.9 | 5.7 | |
| History of stroke (%) | .689 | ||||
| Yes | 8.0 | 7.4 | 7.0 | 7.3 | |
| No | 86.0 | 87.1 | 87.2 | 87.0 | |
| Missing | 6.0 | 5.5 | 5.8 | 5.8 | |
| History of diabetes mellitus (%) | .983 | ||||
| Yes | 17.8 | 17.5 | 17.9 | 17.7 | |
| No | 76.9 | 77.3 | 77.1 | 77.1 | |
| Missing | 5.3 | 5.2 | 5.1 | 5.1 | |
| History of lung respiratory disease (%) | .153 | ||||
| Yes | 13.5 | 15.6 | 13.8 | 11.9 | |
| No | 80.8 | 79.2 | 80.7 | 80.3 | |
| Missing | 5.8 | 5.3 | 5.5 | 5.4 | |
| History of cancer (%) | .329 | ||||
| Yes | 17.2 | 16.2 | 15.2 | 15.8 | |
| No | 77.3 | 78.0 | 79.2 | 78.6 | |
| Missing | 5.5 | 5.8 | 5.6 | 5.6 | |
| Alcohol drinking status (%) | .024 | ||||
| Current | 56.7 | 55.5 | 53.3 | 54.4 | |
| Past | 6.7 | 8.5 | 8.2 | 8.1 | |
| Never | 35.7 | 35.0 | 37.2 | 36.4 | |
| Missing | 0.9 | 0.9 | 1.3 | 1.1 | |
| Smoking status (%) | .002 | ||||
| Current | 14.4 | 11.7 | 12.2 | 12.4 | |
| Past | 33.5 | 34.1 | 31.0 | 32.3 | |
| Never | 50.6 | 52.7 | 54.9 | 53.7 | |
| Missing | 1.4 | 1.5 | 1.8 | 1.7 | |
| Food variety (%) | .080 | ||||
| ≥4 points | 35.8 | 38.3 | 36.4 | 36.9 | |
| 0–3 points | 56.1 | 52.9 | 53.9 | 53.9 | |
| Missing | 8.1 | 8.9 | 9.6 | 9.2 | |
| Frailty (%) | 22.1 | 22.4 | 24.7 | 23.7 | .011 |
| Exercise habit (%) | .015 | ||||
| Yes | 73.3 | 74.1 | 71.4 | 72.5 | |
| No | 25.4 | 23.9 | 26.6 | 25.6 | |
| Missing | 1.3 | 2.0 | 2.0 | 1.9 | |
| Interaction with neighbors (%) | < .001 | ||||
| Significant relationship | 24.1 | 25.1 | 22.0 | 23.2 | |
| Conversation | 40.1 | 38.2 | 36.1 | 37.3 | |
| Exchange of greetings only, No social contact | 35.5 | 36.4 | 41.5 | 39.2 | |
| Missing | 0.3 | 0.3 | 0.4 | 0.3 | |
| Frequency of going outdoors (%) | < .001 | ||||
| At least once a day | 78.3 | 72.3 | 73.4 | 73.7 | |
| Less than once every 2–3 days | 20.8 | 26.8 | 25.2 | 25.1 | |
| Missing | 1.0 | 0.8 | 1.4 | 1.2 | |
| Self-rated health (%) | .005 | ||||
| Excellent to good | 77.8 | 77.3 | 74.5 | 75.8 | |
| Fair to poor | 15.5 | 16.6 | 18.8 | 17.7 | |
| Missing | 6.7 | 6.2 | 6.7 | 6.5 | |
| GDS-5 (%) | .280 | ||||
| ≥2 points | 31.3 | 31.7 | 32.7 | 32.2 | |
| 0–1 point | 62.8 | 61.8 | 60.4 | 61.2 | |
| Missing | 5.8 | 6.5 | 6.9 | 6.7 | |
P-values were calculated using a two-tailed Pearson’s chi-square test. BMI = body mass index. GDS = Geriatric Depression Scale.
Logistic regression models estimating the net effects of dog and cat ownership on the onset of disability.
Model 1 includes controls for socio-demographic variables. Model 2 also adds controls for health at baseline.
| Total (n = 11015) | |||
|---|---|---|---|
| Incident disability | Model 1, OR (95%CI) | Model 2, OR (95%CI) | |
| Dog/Cat ownership | |||
| Never | 1118/6244 (17.9%) | 1 | 1 |
| Past | 556/3256 (17.1%) | 0.91 (0.75–1.10) | 0.88 (0.73–1.08) |
| Current | 208/1515 (13.7%) | 0.72 (0.54–0.96) | 0.71 (0.53–0.95) |
| Dog ownership | |||
| Never § | 1339/7575 (17.7%) | 1 | 1 |
| Past | 419/2493 (16.8%) | 0.87 (0.70–1.07) | 0.84 (0.68–1.03) |
| Current | 124/947 (13.1%) | ||
| Cat ownership | |||
| Never § | 1564/9102 (17.2%) | 1 | 1 |
| Past | 216/1222 (17.7%) | 1.00 (0.76–1.30) | 0.98 (0.75–1.29) |
| Current | 102/691 (14.8%) | 1.08 (0.75–1.54) | (0.74–1.53) |
*p<0.05
**p<0.01.
OR, odds ratio; CI, confidence interval
§ reference group.
Model 1 includes controls for socio-demographic variables; sex, age, household size, educational attainment, equivalent income, and administrative districts.
Model 2 adds controls for health measures; history of hypertension, heart disease, stroke, diabetes mellitus, lung respiratory disease, and cancer, alcohol drinking and smoking status, food variety, frailty, Geriatric Depression Scale, and follow-up period.
Logistic regression models estimating the net effects of dog and cat ownership on all-cause mortality.
Model 1 controls for socio-demographic variables.; Model 2 also adds controls for health at baseline.
| Total (n = 11228) | |||
|---|---|---|---|
| Incident all-cause mortality | Model-1, OR (95%CI) | Model-2, OR (95%CI) | |
| Dog/Cat ownership | |||
| Never | 355/6375 (5.6%) | 1 | 1 |
| Past | 165/3308 (5.0%) | 0.95 (0.74–1.24) | 0.93 (0.71–1.21) |
| Current | 69/1545 (4.5%) | 0.78 (0.54–1.12) | 0.80 (0.55–1.16) |
| Dog ownership | |||
| Never | 432/7727 (5.6%) | 1 | 1 |
| Past | 118/2538 (4.6%) | 0.83 (0.63–1.11) | 0.78 (0.58–1.05) |
| Current | 39/963 (4.0%) | 0.66 (0.42–1.05) | 0.70 (0.44–1.12) |
| Cat ownership | |||
| Never | 484/9281 (5.2%) | 1 | 1 |
| Past | 68/1241 (5.5%) | 1.15 (0.81–1.63) | 1.16 (0.81–1.65) |
| Current | 37/706 (5.2%) | 1.10 (0.69–1.75) | 1.12 (0.69–1.81) |
*p<0.05.
OR, odds ratio; CI, confidence interval
§ reference group.
Model 1 includes controls for socio-demographic variables; sex, age, household size, educational attainment, equivalent income, and administrative districts.
Model 2 adds controls for health measures; history of hypertension, heart disease, stroke, diabetes mellitus, lung respiratory disease, and cancer, alcohol drinking and smoking status, food variety, frailty, Geriatric Depression Scale, and follow-up period.
Fig 1Odds ratios of dog ownership and habitual exercise with incident disability.
Adjusted for socio-demographic variables (sex, age, household size, years of education, equivalent income, and administrative district), health measures (history of hypertension, heart disease, stroke, diabetes mellitus, lung respiratory disease, and cancer, alcohol drinking and smoking status, food variety, frailty, Geriatric Depression Scale), and follow-up period.
Fig 2Odds ratios of dog ownership and social relationship with incident disability.
Adjusted for socio-demographic variables (sex, age, household size, years of education, equivalent income, and administrative district), health measures (history of hypertension, heart disease, stroke, diabetes mellitus, lung respiratory disease, and cancer, alcohol drinking and smoking status, food variety, frailty, Geriatric Depression Scale), and follow-up period.