Table III.

Number of responses to phone-based diary and observed frequency (%) of hot flushes by intervention month and group. Estimated proportion of hot flushes from multilevel mixed logistic regression.

	Intervention group				Control group
Month	Responses	Number of responses with hot flushes	Observed proportion of responses with hot flushes (%)	Estimated proportion of hot flushes from mixed model	Responses	Number of responses with hot flushes	Observed proportion of responses with hot flushes (%)	Estimated proportion of hot flushes from mixed model
Night-time hot flushes:
1 (base-line)	1513	867	57.3	56.1	1518	920	60.6	59.7
2	1719	948	55.1	54.3	1712	1018	59.5	58.6
3	1629	843	51.7	53.2	1576	863	54.8	58.1
4	1611	795	49.3	52.6	1581	872	55.2	55.6
5	1552	780	50.3	48.5	1503	866	57.6	54.3
6 (end)	1314	624	47.5	46.0	1361	716	52.6	54.0
Mixed model for day-time hot flushes:
P (group at base-line) = 0.88.
P (month) = <0.001.
P (group X month) = 0.012.
Day-time hot flushes:
1 (base-line)	1314	951	72.4	68.2	1339	952	71.1	68.5
2	1626	1080	66.4	67.1	1640	1151	70.2	69.1
3	1537	970	63.1	66.5	1542	978	63.4	67.8
4	1495	964	64.5	67.2	1446	936	64.7	67.3
5	1386	931	67.2	66.2	1463	1014	69.3	66.6
6 (end)	1208	840	69.5	66.6	1292	861	66.6	65.7

Mixed model for day-time hot flushes:

P (group at base-line) = 0.18.

P (month) = 0.005.

P (group X month) = 0.61.