Table 2.

Weighted Least Squares Regression Models of Age Cohort Effects of Edentulism Prevalence in 6 Cohorts

Parameter	β	SE	p Value
Model 1a
Intercept	−15.70	6.26	.028
Age (per decade) in reference birth cohortb	0.75	0.27	.016
Birth cohortc
1914-1923	−11.68	3.09	.003
1924-1933	−9.05	1.51	<.001
1934-1943	−3.83	0.96	.002
1944-1953	−2.10	1.08	.075
1954-1963	−1.35	2.20	.551
1964-1973	Reference
Age × cohort (per decade of age)d
1914-1923	5.19	0.72	<.001
1924-1933	4.16	0.47	<.001
1934-1943	2.57	0.43	<.001
1944-1953	1.10	0.41	.020
1954-1963	0.49	0.66	.474
1964-1973	Reference
Model 2e
Intercept	−19.41	4.48	.001
Age (per decade) in reference birth cohortf	0.92	0.18	.000
Birth cohortg	−11.31	2.94	.002
1914-1923
1924-1933	−8.68	1.39	<.001
1934-1943	−3.46	0.83	.001
1944-1953	−1.73	0.95	.091
1954-1973	Reference
Age × cohorth
1914-1923	5.02	0.67	<.001
1924-1933	3.99	0.42	<.001
1934-1943	2.41	0.37	<.001
1944-1953	0.94	0.35	.018
1954-1973	Reference

^aSix 10-year cohorts, R² = 0.985.

^bAnalysis of variance (ANOVA): df = 1, F = 463.7, p < .001.

^cANOVA: df = 5, F = 44.2, p < .001.

^dANOVA: df = 5, F = 24.3, p < .001.

^eFour 10-year cohorts + one 20-year cohort, R² = 0.984.

^fANOVA: df = 1, F = 504.8, p < .001.

^gANOVA: df = 4, F = 55.5, p < .001.

^hANOVA: df = 4, F = 37.5, p < .001.