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

Yang, Ciran; Mao, Zongfu; Wu, Shaotang; Yin, Shicheng; Sun, Yu; Cui, Dan

doi:10.1186/s12877-024-04857-x

Table 2 RIF-OLS regression results of ICFCOA

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

Characteristics/Variables (Reference group)	Model 1^a		Model 2^b		Model 3^c		Model 4^d
Characteristics/Variables (Reference group)	IQ Range	P-value	IQ Ratio	P-value	Gini	P-value	CV	P-value
Gender (Females)	-1.175^**	≤ 0.001	-0.668^**	≤ 0.001	-0.040^**	≤ 0.001	-0.067^**	≤ 0.001
Age	0.066^**	0.008	0.052^**	≤ 0.001	0.003^**	≤ 0.001	0.006^**	≤ 0.001
BMI (Normal: 18.5 ≤ BMI < 24)
Light (12 ≤ BMI < 18.5)	0.140	0.805	0.172	0.509	0.011	0.333	0.017	0.406
Heavy (24 ≤ BMI < 28)	-0.354	0.259	-0.141	0.262	-0.006	0.251	-0.010	0.275
Obese (28 ≤ BMI ≤ 60)	-0.009	0.987	-0.052	0.817	-0.001	0.956	0.003	0.865
Waist	-0.001	0.955	-0.007	0.389	0.000	0.382	-0.001	0.306
Subjective health (Poor)
Moderate	0.359	0.211	0.045	0.730	0.002	0.768	0.004	0.686
Excellent	0.756^*	0.034	0.140	0.347	0.008	0.250	0.015	0.220
Marital status (Not in marriage)	-0.267	0.436	-0.093	0.534	-0.013	0.060	-0.018	0.110
Smoking (Never)
Former	0.683	0.097	0.390^*	0.017	0.019^*	0.014	0.032^*	0.014
Long-term/Current	0.379	0.270	0.262	0.067	0.023^**	≤ 0.001	0.040^**	≤ 0.001
Drinking (Never)
Less than once a month	-0.611	0.135	-0.178	0.280	-0.015^*	0.045	-0.024	0.055
More than once a month	-0.017	0.954	0.012	0.917	-0.004	0.497	-0.006	0.543
Education (No formal education)
Elementary school or below	-3.761^**	≤ 0.001	-2.047^**	≤ 0.001	-0.132^**	≤ 0.001	-0.218^**	≤ 0.001
Junior high school or above	-2.441^**	≤ 0.001	-1.894^**	≤ 0.001	-0.136^**	≤ 0.001	-0.222^**	≤ 0.001
Social interaction (Inactive)	0.001	0.997	-0.121	0.254	-0.019^**	≤ 0.001	-0.033^**	≤ 0.001
Physical activity (Inactive)
Low to moderately active	-0.371	0.365	-0.335	0.071	-0.029^**	≤ 0.001	-0.046^**	0.002
Highly active	0.062	0.894	-0.145	0.488	-0.023^*	0.016	-0.034^*	0.045
Family size (Small: 1 to 2)
Medium (3 to 4)	-0.247	0.380	-0.100	0.397	-0.002	0.685	-0.004	0.633
Large (5 or more)	-0.361	0.296	-0.115	0.411	-0.003	0.602	-0.007	0.535
Family socioeconomic status (Low)
Relatively low	-0.400	0.284	-0.104	0.518	-0.008	0.283	-0.012	0.348
Relatively high	-0.198	0.615	0.033	0.843	0.005	0.479	0.009	0.471
High	-0.012	0.973	0.086	0.572	0.007	0.324	0.013	0.272
Hukou (Agricultural hukou)	0.829^*	0.033	0.112	0.450	0.005	0.541	0.007	0.601
Constants	7.973^**	≤ 0.001	1.841	0.092	0.141^**	0.002	0.241^**	0.003
Work status FE	Yes		Yes		Yes		Yes
Community FE	Yes		Yes		Yes		Yes
Interviewed FE	Yes		Yes		Yes		Yes
Adjusted R-squared	0.075		0.120		0.227		0.212
RMSE	7.217		2.999		0.140		0.241
Average RIF	9.086		2.619		0.188		0.333
Observations	4821		4821		4821		4821

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; BMI, body mass index; FE: fixed effect; RMSE, Root mean squared error; RIF, recentered influence function; OLS, ordinary least squares.
^a In Model 1, the IQ range was used as the explained variable.
^b In Model 2, the IQ ratio was used as the explained variable.
^c In Model 3, the Gini was used as the explained variable.
^d In Model 4, the CV was used as the explained variable.
Standard errors and P-values for all models were obtained using bootstrap methods with 500 replications.
^*P < 0.05, ^**P < 0.01.

Back to article page

ISSN: 1471-2318

Contact us

Submission enquiries: bmcgeriatrics@biomedcentral.com
General enquiries: ORSupport@springernature.com

BMC Geriatrics

Contact us