Predicting the natural history of metabolic syndrome with a Markov-system dynamic model: a novel approach

Table 1 Longitudinal change of MetS states among participants over the study period

States of MetS	Baseline		F1		F2		F3		F4		Change (%)	P*
States of MetS	Count	%	Count	%	Count	%	Count	%	Count	%	Change (%)	P*
No Component	1604	12.5	672	5.2	917	7.1	1154	9.0	1248	9.7	− 22.1	< 0.0001
Isolated Overweight/Obesity	1360	10.6	927	7.2	1370	10.6	2462	19.1	2725	21.2	100.3
Isolated Hypertension	106	.8	38	.3	72	.6	67	.5	139	1.1	31.1
Isolated Dyslipidemia	3902	30.3	2872	22.3	2112	16.4	1037	8.0	705	5.5	− 81.9
Isolated Hyperglycemia	143	1.1	96	.7	279	2.2	303	2.4	456	3.5	218.8
Obesity + Hypertension	233	1.8	128	1.0	131	1.0	284	2.2	508	3.9	118.0
Obesity + Dyslipidemia	3325	25.8	4864	37.8	3767	29.2	3002	23.3	2017	15.7	−39.3
Obesity + Hyperglycemia	190	1.5	183	1.4	379	2.9	978	7.6	1192	9.3	527.3
Hypertension + Dyslipidemia	264	2.0	190	1.5	178	1.4	94	.7	97	.8	− 63.2
Hypertension + Hyperglycemia	26	.2	22	.2	79	.6	50	.4	118	.9	353.8
Dyslipidemia + Hyperglycemia	350	2.7	538	4.2	737	5.7	351	2.7	333	2.6	−4.8
MS	1379	10.7	2352	18.3	2861	22.2	3100	24.1	3344	26.0	142.4

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