| Literature DB >> 32981665 |
Yukari Yamada1, Tomoe Uchida1, Mari Ogino1, Tatsuyoshi Ikenoue1, Takayuki Shiose2, Shingo Fukuma1.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32981665 PMCID: PMC7396974 DOI: 10.1016/j.jamda.2020.07.039
Source DB: PubMed Journal: J Am Med Dir Assoc ISSN: 1525-8610 Impact factor: 4.669
Fig. 1Changes in levels and trends of older adults' activities during the COVID-19 pandemic. Means of daily time spent in (A) common area and (B) walking distance between January 1 and May 24, 2020. The left dotted line indicates the day when the CCRC announced the cancellation of all in-facility events and closure of some facilities (February 24, 2020), and the right dotted line represents the day when the state of emergency was declared (April 7, 2020).
Regression Results of Main and Sensitivity Analyses (N = 134)
| Model 1 | Model 2 | Model 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Time | |||||||||
| Baseline | 86.84 | 79.31 | 94.36 | 86.84 | 78.31 | 95.36 | 86.98 | 79.21 | 94.75 |
| Pre CA | −0.02 | −0.20 | 0.16 | −0.02 | −0.22 | 0.18 | −0.03 | −0.21 | 0.16 |
| (Time at CA) | 85.68 | ||||||||
| Post CA short term | −10.87 (=12.7% of 86.68) | −17.21 | −4.52 | −10.87 | −17.48 | −4.26 | −10.47 | −17.44 | −3.51 |
| Post CA long term | −0.08 | −0.33 | 0.18 | −0.08 | −0.34 | 0.18 | −0.08 | −0.35 | 0.20 |
| (Time at SE) | 82.66 | ||||||||
| Post SE short term | −6.46 (=7.8% of 82.66) | −11.13 | −1.80 | −6.46 | −11.28 | −1.65 | −6.31 | −11.30 | −1.31 |
| Post SE long term | 0.27 | 0.06 | 0.48 | 0.27 | 0.06 | 0.48 | 0.28 | 0.05 | 0.51 |
| Trend: CA | −0.10 | −0.28 | 0.09 | −0.10 | −0.28 | 0.09 | −0.10 | −0.31 | 0.10 |
| Trend: SE | 0.18 | 0.07 | 0.28 | 0.18 | 0.06 | 0.28 | 0.17 | 0.06 | 0.29 |
| F (11,134) = 27.3, | F (11,134) = 27.4, | F (11,134) = 24.0, | |||||||
| Walking distance | |||||||||
| Baseline | 1097.23 | 1009.39 | 1185.06 | 1097.23 | 1000.11 | 1194.34 | 1096.31 | 1001.97 | 1190.66 |
| Pre CA | 0.64 | −1.38 | 2.65 | 0.64 | −1.58 | 2.86 | 0.65 | −1.59 | 2.89 |
| Distance at CA | 1133.60 | ||||||||
| Post CA short term | −37.70 (=3.3% of 1133.60) | −138.21 | 62.80 | −37.70 | −140.87 | 65.46 | −34.00 | −146.41 | 78.41 |
| Post CA long term | −5.37 | −10.39 | −0.36 | −5.37 | −10.85 | 0.10 | −5.51 | −11.02 | −0.01 |
| Distance at SE | 918.63 | ||||||||
| Post SE short term | −186.79 (=20.3% of 918.63) | −333.01 | −40.57 | −186.79 | −348.23 | −25.35 | −183.69 | −341.39 | −25.99 |
| Post SE long term | 5.61 | 0.40 | 10.82 | 5.61 | 0.05 | 11.18 | 5.70 | −0.08 | 11.48 |
| Trend: CA | −4.73 | −9.34 | −0.13 | −4.74 | −9.78 | 0.31 | −4.86 | −9.90 | 0.17 |
| Trend: SE | 0.87 | −1.68 | 3.43 | 0.88 | −1.61 | 3.36 | 0.84 | −2.03 | 3.70 |
| F (11,134) = 38.3, | F (11,134) = 46.8, | F (11,134) = 29.6, | |||||||
CA, CCRC announcement; SE, state of emergency.
Confidence intervals in brackets.
Model 1: Regression with Newey-West standard errors without lag indicated (main analyses).
Model 2: Model 1 with 1 day lag indicated.
Model 3: Prais-Winsten autoregressive model. Dummy variables for week are not shown in the tables.
Postintervention linear trend = _b [pre CA] + _b [post CA long term].
Postintervention linear trend = _b [pre CA] +_b [post CA long term] + _b [Post SE long term].
Durbin–Watson d statistic is an indicator of how well the model corrects for first-order autocorrelation; d can take on values between 0 and 4, and under the null hypothesis, d is equal to 2.