Assessing the relationship between body image and quality of life among rural and urban breast cancer survivors in China

Table 4 Hierarchical linear regression testing the interaction effects of place of residence^a,b (n = 354)

	PCS					MCS
	Std. β	95% CI	p value	ΔR²	adjR²_cum	Std. β	95% CI	p value	ΔR²	adjR²_cum
Step 1				0.10	0.06				0.24	0.21
BI	− 0.14	− 0.23, − 0.05	0.009			− 0.46	− 0.53, − 0.38	< 0.001
Place of residence (Ref: rural areas)	0.08	− 0.20, 0.05	0.32			0.10	− 0.21, 0.02	0.17
Step 2				0.003	0.06				0.02	0.23
BI	− 0.08	− 0.16, 0.003	0.34			− 0.31	− 0.44, − 0.19	< 0.001
Place of residence (Ref: rural areas)	0.08	− 0.05, 0.20	0.30			0.11	− 0.009, − 0.22	0.13
Place of residence × BI	− 0.09	− 0.22, 0.05	0.28			− 0.20	− 0.32, − 0.08	0.007

BI body image, MCS mental component summary, PCS physical component summary, Std. β standard coefficient, 95% CI 95% confidence interval
^aAll linear regression models were adjusted for the following covariates: age, education attainment, marital status (ref: married), monthly income, employment status (ref: employed), clinical stage (ref: stage 0 and I), surgery type (ref: modified radical mastectomy), adjuvant chemotherapy status (ref: undergoing chemotherapy), and post-surgery time
^bRegression models with p < 0.05 and significant coefficients (p < 0.05) are marked in bold

ISSN: 1472-6874