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Table 3 Results of gender-differentiated RIF-OLS regression of ICFCOA

From: Influencing factors, gender differences and the decomposition of inequalities in cognitive function in Chinese older adults: a population-based cohort study

Gender grouping

Model 1a:

No controls

Model 2b:

No controls + IPW

Model 3c:

Controls

Model 4d:

Controls + IPW

OTE 1

P-value

OTE 2

P-value

OTE 3

P-value

OTE 4

P-value

Mean

1.278**

≤ 0.001

1.013**

≤ 0.001

0.750**

≤ 0.001

0.887**

≤ 0.001

10th quantile

1.893**

≤ 0.001

0.919*

0.015

1.192**

≤ 0.001

0.900**

0.005

90th quantile

0.326**

0.009

0.275

0.341

0.063

0.693

0.245

0.295

90-10th IQ range

-1.566**

≤ 0.001

-0.640

0.187

-1.128**

≤ 0.001

-0.650

0.104

90-10th IQ ratio

-0.797**

≤ 0.001

-0.346

0.100

-0.505**

≤ 0.001

-0.341*

0.040

Gini

-0.054**

≤ 0.001

-0.041**

≤ 0.001

-0.035**

≤ 0.001

-0.037**

≤ 0.001

CV

-0.088**

≤ 0.001

-0.070**

≤ 0.001

-0.059**

≤ 0.001

-0.063**

≤ 0.001

Observations

4868

4868

4868

4868

  1. ICFCOA, inequalities in cognitive function in Chinese older adults; IQ range, the 90-10th interquartile range; IQ ratio, the 90-10th interquartile ratio; Gini, the Gini coefficient; CV, the coefficient of variation; RIF, recentered influence function; OLS, ordinary least squares; OTE, overall treatment effect.
  2. a In Model 1, adding no control variables.
  3. b In Model 2, adding no controls but using the reweighting adjustment (IPW).
  4. c In Model 3, adding controls as in Tables 1 and 2, but without the reweighting adjustment.
  5. d In Model 4, adding both controls and the reweighting adjustment.
  6. Standard errors and P-values for all models were obtained using bootstrap methods with 500 replications.
  7. *P < 0.05, **P < 0.01.