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. 2021 Jan 10;21:38. doi: 10.1186/s12877-020-01990-1

Table 1.

Descriptive statistics

Men (n=1562) Women (n=2019) P-valueb
Mean/Proportion SDa Mean/Proportion SD
Memory mistakes [t=baseline] 0.62 0.93 0.86 1.03 < 0.001
Memory mistakes [t+ 1] 0.94 1.24 1.11 1.26 < 0.001
Memory mistakes [t+ 1]-[t] 0.58 0.99 0.58 0.98 0.916
Mild decline [t+ 1] 9.9% 12.8% < 0.01
Moderate decline [t+ 1] 2.0% 2.0% 0.970
Age 68.02 6.53 68.66 6.77 < 0.001
Years of education 9.80 2.82 8.79 2.32 < 0.001
Current worker 48.7% 25.8% < 0.001
Longest occupation
 Professional 23.0% 5.4% < 0.001
 Clerical 16.4% 26.4%
 Manual 40.3% 17.1%
 Agriculture/forestry/fishery 18.2% 10.8%
Domestic worker 2.0% 40.2%
Single 9.7% 47.1% < 0.001
Home ownership 89.6% 86.4% < 0.01
Group activity 68.6% 63.9% < 0.01
Current smoker 45.5% 7.2% < 0.001
Alcohol consumption 64.9% 7.2% < 0.001
Exercise 52.7% 48.0% < 0.01
Hearing impairment 6.6% 4.2 < 0.001
Diabetes 7.2% 4.4% < 0.001
Hypertension 25.7% 30.8% < 0.001
Stroke 3.9% 3.0% 0.125
Entry wave
 Wave1 45.9% 45.5%
 Wave2 8.7% 8.0%
 Wave4 20.8% 18.6%
 Wave5 24.6% 27.8%

aSD standard deviation

bWelch’s method to test the difference of averages under the hypothesis of heteroskedasticity. Chi-square test was used for assessing differences of categorical variables between men and women