. 2021 Aug 14;37(7):1027–1040. doi: 10.1007/s10896-021-00305-1

Table 2.

Binary Logistic Regression Using Mistreatment Type and Age to Predict COVID-19 Awareness and Unmet Needs

	COVID-19 Awareness (n = 822)	Shelter-in-Place Awareness (n = 821)	Having a Doctor for COVID-19 (n = 790)	Food Needs Met (n = 819)	Medical Needs Met (n = 789)	Unmet Needs to Medical Appointment (n = 786)	Other Urgent Needs (n = 811)	Loneliness (n = 726)
Self-Neglect	0.41*	0.25**	0.88	1.17	0.64	1.23	1.83	1.32
Neglect	0.39	0.23*	1.53	0.47	0.77	2.12	0.41	0.51
Financial Abuse	4.42*	3.35	0.95	13.78^a**	1.44	1.12	0.55	0.63
Emotional Abuse	0.94	1.27	0.74	1.40	0.92	0.60	0.69	3.12***
Physical Abuse	3.62^a	2.27^a	0.87	0.85	1.03	1.40	1.03	0.41*
Sexual Abuse	0.24^a	0.17^a	0.76	0.33	0.30	3.00	3.21	3.24
Isolation	0.21	0.19	1.58^a	0.63^a	0.13*	0.58^a	8.56	1.32
Abandonment	0.86^a	0.62^a	0.19	0.59^a	0.17	0.55^a	4.21^a	1.02^a
Abduction	0.10^a	0.11^a	0.19^a	0.01	0.10^a	2.83^a	37.66^a	N/A
Age	0.97*	0.96*	1.01	1.01	1.01	1.00	1.00	0.99
Constant	493.31***	1710.74***	5.52**	9.36**	12.94***	0.05***	0.04***	0.24**

Note. * p < .05, ** p < .01, *** p < .001

^aQuasi-separation of points. N/A: Complete-separation of points, such that no one responded to have been abused. Exp(B) value in each cell represents odds ratio. Mistreatment substantiation decision was coded as 1 = confirmed or inconclusive, 0 = unfounded, undetermined, no allegation