The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

Table 6 Adjusted regression analysis (Poisson, Incidence Rates Ratios) for Number of Diseases, n = 1325 participants aged 60 and over

Model	Domain	Level	IRR (95% CI, P-value)	P-value	Linear trend (95%CI, P-value)
Model with individual domain managing counts^a	Biological	No risk	Reference	< 0.01	6.02 (4.83 to 7.49, < 0.01)
		Some risk	2.54 (1.47 to 4.4, < 0.01)
		High risk	22.59 (14.22 to 35.87, < 0.01)
	Psychological	No risk	Reference	< 0.01	1.2 (1.06 to 1.36, < 0.01)
		Some risk	1.52 (1.22 to 1.89, < 0.01)
		High risk	1.28 (0.97 to 1.7, 0.08)
	Social	No risk	Reference	< 0.01	1.06 (0.94 to 1.19, 0.31)
		Some risk	1.5 (1.18 to 1.91, < 0.01)
		High risk	1.19 (0.93 to 1.54, 0.17)
Model with managing scores^b	BioPsychoSocial	Doing well	Reference	< 0.01	2.44 (2.17 to 2.74, < 0.01)
		Some problems	8.82 (5.44 to 14.29, < 0.01)
		Many problems	17.3 (10.61 to 28.19, < 0.01)
		Overwhelming problems	24.63 (13.41 to 45.25, < 0.01)

^aThe individual B, P, S categories were put into the same model with the following covariates: age, gender, ethnicity, income and education
^bLikewise, the combined managing score categories were put into a model with the following covariates: age, gender, ethnicity, income and education

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