Fig 3 - Effect of tardive dyskinesia on quality of life in patients with bipolar disorder, major depressive disorder, and schizophrenia

Fig. 3 MCS, PCS and PF Scores: difference from the general population in patients with and without TD. For MCS, PCS, and PF, higher scores indicate better health status [21]. The difference from the general population was weighted to the gender and age of the patient samples. *P = 0.015 (comparing the mean value with the gen-

MCS, PCS and PF Scores: difference from the general population in patients with and without TD. For MCS, PCS, and PF, higher scores indicate better health status [21]. The difference from the general population was weighted to the gender and age of the patient samples. *P = 0.015 (comparing the mean value with the gen-

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Reference

Effect of tardive dyskinesia on quality of life in patients with bipolar disorder, major depressive disorder, and schizophrenia - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/MCS-PCS-and-PF-Scores-difference-from-the-general-population-in-patients-with-and_fig3_335312686 [accessed 24 May 2025]

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Fig. 3 MCS, PCS and PF Scores: difference from the general population in patients with and without TD. For MCS, PCS, and PF, higher scores indicate better health status [21]. The difference from the general population was weighted to the gender and age of the patient samples. *P = 0.015 (comparing the mean value with the gen-

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<a href="https://www.researchgate.net/figure/MCS-PCS-and-PF-Scores-difference-from-the-general-population-in-patients-with-and_fig3_335312686"><img src="https://www.researchgate.net/publication/335312686/figure/fig3/AS:794386598203393@1566407932247/MCS-PCS-and-PF-Scores-difference-from-the-general-population-in-patients-with-and.png" alt="MCS, PCS and PF Scores: difference from the general population in patients with and without TD. For MCS, PCS, and PF, higher scores indicate better health status [21]. The difference from the general population was weighted to the gender and age of the patient samples. *P = 0.015 (comparing the mean value with the gen-"/></a>