Implication of Fast Activities of Spectral Analysis in Subjective Sleep Complaints of Elderly Women

Abstract

Objective: In elderly patients, women have better qualities of sleep than men in objective parameters; however, women subjectively complain more about sleep disturbances than men. We performed visual scoring and spectral analysis of sleep electroencephalograms to explain these gender differences in the degree of arousal, the most representative marker in insomnia. Methods: A total of 354 participants (≥60 years old) were recruited from a Korean community underwent nocturnal polysomnography (NPSG). A Fast Fourier transform was used for the spectral analysis of the NPSG data. Relative power was calculated as absolute power of each band divided by total absolute power. Difference in total sleep time (D_TST) is obtained by subtracting the total sleep time reported in Pittsburgh Sleep Quality Index (PSQI) from the TST measured by the NPSG. Results: A total of 75 participants (women, 51) were finally analyzed. Women had higher PSQI, longer sleep latencies, sleep inefficiencies, and daytime dysfunctions compared to men. The percentage of stage 1 sleep was higher in men versus in women, whereas percentage of stage 3 sleep was higher in women than in men (P =.001; P =.001). Women had higher relative alpha and beta powers than men during nonrapid eye movement (NREM) sleep (P =.017; P =.015). During NREM sleep, beta power was negatively correlated with D_TST (R = −0.250, P =.033), and relative alpha power in stage 3 sleep was positively correlated with sleep latency in PSQI (R = 0.267, P =.022). Conclusion: Spectral analysis showed that women had more disturbed sleep than men. The result from the spectral analysis may explain hyperarousal in elderly women.