Table 2.

Multivariable Linear Regression Models Demonstrating the Association Between Kyphosis Index Quintiles and Gait Speed in the MOBILIZE Boston Study 2006–2009

All participants (N = 595)	Fully Adjusted Model
Kyphosis Index Quintile	Beta	SE	p
Quintile 2	−0.01	0.03	0.85
Quintile 3	−0.01	0.03	0.61
Quintile 4	−0.04	0.03	0.17
Quintile 5	−0.06	0.03	0.02
Trend p-value			0.01
Women (N = 375)
Kyphosis Index Quintile
Quintile 2	−0.04	0.03	0.22
Quintile 3	> −0.01	0.03	0.88
Quintile 4	−0.08	0.03	0.02
Quintile 5	−0.09	0.03	0.01
Trend p-value			< 0.01
Men (N = 220)
Kyphosis Index Quintile
Quintile 2	0.06	0.05	0.22
Quintile 3	−0.05	0.05	0.34
Quintile 4	0.01	0.05	0.87
Quintile 5	−0.02	0.05	0.62
Trend p-value			0.33

Notes: In these models, KI was modeled as a categorical variable. Quintile 1 refers to the participants whose KI fell in the lowest 20% of our population. Fully adjusted models include adjustment for age, gender, race, education, BMI, self-rated health, heart disease, diabetes, stroke, depressive symptoms, back pain, knee pain and falls efficacy.