Intake frequencies of different foods based on a sample of Swedish women with and without rheumatoid arthritis.

Table 2: Intake frequencies of different foods based on a sample of Swedish women with and without rheumatoid arthritis.

		<1/month	1-3/month	1-2/week	3-6/week	1-2/day	> 3/days	Adjusted P-value	Crude P-value
Root vegetables	RA n = 147	8	18	35	31	8	1	0.669^a	0.91
Root vegetables	Without RA n = 163	6	22	29	37	6	1
Legumes	RA n = 146	19	30	36	14	1	1	0.185^a	0.096
Legumes	Without RA n = 162	15	25	36	19	5	0
Vegetables	RA n = 149	0	1	10	34	46	9	0.335^b	0.084
Vegetables	Without RA n = 163	1	2	6	22	63	8
Fruit and berries	RA n = 149	1	5	6	31	42	14	0.205^b	0.619
Fruit and berries	Without RA n = 163	3	3	9	29	45	10
Nuts and seeds	RA n = 148	21	26	23	19	11	1	0.003d^**	< 0.001^**
Nuts and seeds	Without RA n = 163	9	19	28	20	24	1
Charcuteries	RA n = 148	24	17	24	24	10	1	0.603^a	0.35
Charcuteries	Without RA n = 162	26	20	25	23	6	0
Sausages, hamburgers, kebab	RA n = 142	47	37	16	1	0	0	0.134^c	0.134
Sausages, hamburgers, kebab	Without RA n = 159	37	45	18	0	0	0
Chicken	RA n = 148	7	14	63	15	1	0	0.106^a	0.467
Chicken	Without RA n = 162	10	9	57	22	2	0
Red meat	RA n = 150	15	13	47	24	1	0	< 0.001^a**	0.036^*
Red meat	Without RA n = 163	9	12	44	32	3	0
Lean fish	RA n = 149	16	35	44	4	1	0	0.378^a	0.747
Lean fish	Without RA n = 162	10	37	46	7	0	0
Fatty fish	RA n = 122	17	33	41	5	1	0	0.416^a	0.398
Fatty fish	Without RA n = 106	10	35	50	5	0	0
Shellfish	RA n = 123	41	42	14	1	0	0	0.099^e	0.240
Shellfish	Without RA n = 106	27	56	15	2	0	0
Mussels	RA n = 122	90	6	1	0	0	0	0.023^f*	0.074
Mussels	Without RA n = 106	86	11	1	1	0	1
Sweets and chocolate	RA = 148	22	30	36	10	3	0	0.118^e	0.011^*
Sweets and chocolate	Without RA = 163	13	25	44	15	3	0
Ice cream	RA = 149	48	36	13	3	1	0	0.359^a	0.201
Ice cream	Without RA = 161	37	47	14	3	0	0
Snacks	RA = 150	44	39	15	1	0	0	0.388^e	0.015^*
Snacks	Without RA = 162	32	44	24	1	0	0
Pastries	RA = 150	30	31	26	10	3	0	0.559^a	0.894
Pastries	Without RA = 162	27	33	33	6	1	0

RA: Rheumatoid arthritis All P values calculated with linear regression models. a) Adjusted for age, body mass index and education. b) Adjusted for body mass index and education. c) Adjusted for age and body mass index. d) Adjusted for education. e) Adjusted for education and age. f) Adjusted for age. ^* p < 0.05, ^**p < 0.01.