Interactive effects of sex and pain on elevated depressive symptoms in university student athletes

Figures & data

Table 1. Descriptive statistics depicting participant characteristics.

	N		N (%)
	Men	Women	Total
Sex	43	87	130
Predominant Sport
Circuits	3	23	26(20)
Football	16	8	24(18.4)
Rugby	8	2	10(7.7)
Netball	0	10	10(7.7)
Athletics	1	7	8(6.2)
Other	15	37	52(40)
Sport Performance Level
Amateur	21	46	67(51.5)
University	2	3	5(3.8)
Semi-professional	19	33	52(40)
County	1	1	2(1.5)
National	0	4	4(3.1)

Note: N = Number of participants, % = Percentage of total sample.

Table 2. Summary of multiple regression analysis predicting CESD scores.

Predictor Variables	B (95% CI’s)	SE	β	sr	p
Step 1
Constant	6.252 (-.218, 12.723)	3.270	–	–	.058
Sex	4.281 (.632, 7.929)	1.844	.197	.197	.022
Physical Pain	1.001 (.194, 1.808)	.408	.208	.208	.015
Injury History	-.053	–	–	-.051	.566
Step 2
Constant	13.328 (10.863, 15.793)	1.246	–	–	.000
Sex	.012	–	–	.009	.922
Physical Pain	−2.227 (−4.414, -.041)	1.105	-.464	-.168	.046
Sex*Physical Pain	1.918 (.73, 3.105)	.600	.736	.266	.002

Step 1: Overall Model Fit, F(1, 127) = 5.391, p = 0.022 R² = 0.088.

Step 2: Overall Model Fit, F(1, 127) = 4.06, p = 0.046. R² = 0.120.

Data availability statement

Data is available on Open Science Framework: https://osf.io/2t9ns/