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. 2022 May 9;19(9):5770. doi: 10.3390/ijerph19095770

Table 3.

Partial correlations (controlling for age and BMI) between sleep quality (as measured by the PSQI) and heart rate variability (n = 60).

Control Variables: Age and BMI Sleep Latency Daytime Dysfunction Subjective Sleep Quality Global Sleep Score
Stress VLF Correlation −0.143 −0.448 −0.361 −0.320
Significance (2-tailed) 0.303 0.001 * 0.007 * 0.018 *
df 52 52 52 52
Stress HF n.u. Correlation −0.334 −0.166 −0.255 −0.332
Significance (2-tailed) 0.013 * 0.231 0.062 0.014 *
df 52 52 52 52
Stress TP Correlation −0.184 −0.399 −0.332 −0.318
Significance (2-tailed) 0.183 0.003 * 0.014 * 0.019 *
df 52 52 52 52
Stress Ratio Correlation 0.274 0.094 0.094 0.158
Significance (2-tailed) 0.045 * 0.499 0.498 0.253
df 52 52 52 52

* Statistical significance: p < 0.05. Key: BMI = body mass index; df = degrees of freedom; HF n.u. = high-frequency heart rate variability (normalised units); ratio = sympathovagal balance; TP = total power heart rate variability; VLF = very-low-frequency heart rate variability.