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The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women

Year 2024, Volume: 14 Issue: 1, 237 - 244, 28.03.2024
https://doi.org/10.33808/clinexphealthsci.1281203

Abstract

Objective: Postpartum period is a significant period that covers approximately 6 weeks after childbirth, progresses with various symptoms, and affects the life of the woman. The study was conducted in order to test the validity and reliability of the Postpartum Symptom Inventory (PSI-20).
Methods: The study was conducted on 310 participants with a descriptive, cross-sectional, and methodological design. The study data were collected through Identifying Information Form, Postpartum Symptom Inventory, and Edinburgh Postnatal Depression Scale as a parallel form. In the analysis of the data, factor analysis, Cronbach’s alpha coefficient, and item-total score correlations were used.
Results: The scale consisted of 20 items under 6 subscales with a variance of 71%. The Cronbach’s alpha coefficient of the Turkish version of the scale was 0.86. According to split-half test reliability, Cronbach’s alpha coefficients of the first and second halves were found to be 0.71 and 0.73, respectively, Guttman split-half coefficient was 0.94, and the correlation coefficient between the halves was determined as 0.88. According to confirmatory factor analysis, Root Mean Square Error of Approximation Index (RMSEA) 0.072, Goodness of Fit index (GFI) value was 0.89, Comparative Fit Index (CFI) value was 0.94, Relative Fit Index (RFI) was 0.89, Incremental Fit Index (IFI) was 0.94, and Tucker-Lewis index (TLI) value was found as 0.93.
Conclusion: As a result of the study, it was determined that the Turkish version of the Postpartum Symptom Inventory (PSI-20) was a valid and reliable tool in order to measure postpartum symptoms in Turkish women.

References

  • Acog Committee Opinion. ACOG Committee Opinion No. 736: Optimizing Postpartum Care. Obstet Gynecol 2018;131(5):e140–50. DOI:10.1097/AOG.0000000000002633
  • Schaffir J, Kunkler A, Lynch CD, Benedict J, Soma L, Doering A. Association between postpartum physical symptoms and mood. J Psychosom Res. 2018;107:33–37. DOI:10.1016/j.jpsychores.2018.02.003
  • Akgun Ö, Duran Aksoy Ö. Determination of mothers’ postpartum comfort levels and affecting factors. J Contemp Med . 2020 ;10(3):385–393. DOI:10.16899/jcm.695648
  • Bahrami N, Karimian Z, Bahrami S, Bolbolhaghighi N. Comparing the postpartum quality of life between six to eight weeks and twelve to fourteen weeks after delivery in Iran. Iran Red Crescent Med J. 2014;16(7). e16985. DOI: 10.5812/ircmj.16985
  • Sivertsen B, Petrie KJ, Skogen JC, Hysing M, Eberhard-Gran M. Insomnia before and after childbirth: The risk of developing postpartum pain—A longitudinal population-based study. Eur J Obstet Gynecol Reprod Biol. 2017;210:348–354. DOI:10.1016/j.ejogrb.2017.01.020
  • Slomian J, Honvo G, Emonts P, Reginster J-Y, Bruyère O. Consequences of maternal postpartum depression: A systematic review of maternal and infant outcomes. Women’s Heal . 2019 ;15:174550651984404. DOI:10.1177/1745506519844044
  • Gaudet C, Wen SW, Walker MC. Chronic perinatal pain as a risk factor for postpartum depression symptoms in Canadian women. Can J Public Heal. 2013;104(5): e375–e387. DOI:10.17269/cjph.104.4029
  • Woolhouse H, Gartland D, Perlen S, Donath S, Brown SJ. Physical health after childbirth and maternal depression in the first 12 months post partum: Results of an Australian nulliparous pregnancy cohort study. Midwifery. 2014;30(3):378–384. DOI:10.1016/j.midw.2013.03.006
  • Cooklin AR, Amir LH, Nguyen CD, Buck ML, Cullinane M, Fisher JRW, Donath SM, CASTLE Study Team. Physical health, breastfeeding problems and maternal mood in the early postpartum: A prospective cohort study. Arch Womens Ment Health. 2018;21(3):365–374. DOI:10.1007/s00737-017-0805-y
  • Jeong YJ, Nho JH, Kim HY, Kim JY. Factors influencing quality of life in early postpartum women. Int J Environ Res Public Health. 2021;18(6):1–9. DOI:10.3390/ijerph18062988
  • Chien L-Y, Tai C-J, Hwang F-M, Huang C-M. Postpartum physical symptoms and depressive symptomatology at 1 month and 1 year after delivery: A longitudinal questionnaire survey. Int J Nurs Stud . 2009;46(9):1201–1208. DOI:10.1016/j.ijnurstu.2009.02.007
  • Aydin N, Inandi T, Yigit A, Hodoglugil NNS. Validation of the Turkish version of the Edinburgh Postnatal Depression Scale among women within their first postpartum year. Soc Psychiatry Psychiatr Epidemiol. 2004;39(6):483–486. DOI:10.1007/s00127-004-0770-4
  • Corapcioglu A, Ozer GU. Adaptation of revised Brief PHQ (Brief-PHQ-r) for diagnosis of depression, panic disorder and somatoform disorder in primary healthcare settings. Int J Psychiatry Clin Pract . 2004 ;8(1):11–18. DOI:10.1080/13651500310004452
  • Spitzer RL, Kroenke K, Williams JBW, and the Patient Health Questionnaire Primary Care Study Group. Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. JAMA. 1999;282(18):1737–1744. DOI:10.1001/jama.282.18.1737
  • Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry . 1987;150(6):782–786. DOI: 10.1192/bjp.150.6.782
  • Karagöz Y. SPSSPSS and AMOS 23 applied statistical analysis. 1st Edition. Ankara: Ankara Nobel Akademik Yayıncılık; 2019. 1–1075 p.
  • Wilkie S, Crawley R, Button S, Thornton A, Ayers S. Assessing physical symptoms during the postpartum period: reliability and validity of the primary health questionnaire somatic symptom subscale (PHQ-15). J Psychosom Obstet Gynecol . 2018 ;39(1):56–63. DOI: 10.1080/0167482X.2017.1289167
  • Kamysheva E, Skouteris H, Wertheim EH, Paxton SJ, Milgrom J. A prospective investigation of the relationships among sleep quality, physical symptoms, and depressive symptoms during pregnancy. J Affect Disord. 2010;123(1–3):317–20. DOI:10.1016/j.jad.2009.09.015
  • Henningsen P, Zimmermann T, Sattel H. Medically unexplained physical symptoms, anxiety, and depression: a meta-analytic review. Psychosom Med . 2003 65(4):528–533. DOI:10.1097/01.psy.0000075977.90337.e7
  • Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J Eval Clin Pract . 2011;17(2):268–274. DOI:10.1111/j.1365-2753.2010.01434.x
  • Wild D, Eremenco S, Mear I, Martin M, Houchin C, Gawlicki M, Hareendran A, Wiklund I, Chong LY, von Maltzahn R, Cohen L, Molsen E. Multinational trials-recommendations on the translations required, approaches to using the same language in different countries, and the approaches to support pooling the data: the ISPOR Patient-Reported Outcomes Translation and Linguistic Validation Good Research Practices Task Force report. Value Heal . 2009;12(4):430–440. DOI:10.1111/j.1524-4733.2008.00471.x
  • Polit DF, Beck CT, Owen S V. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health 200730(4):459–467. DOI:10.1002/nur.20199
  • Rubio DM, Berg-Weger M, Tebb SS, Lee ES, Rauch S. Objectifying content validity: Conducting a content validity study in social work research. Soc Work Res . 2003;27(2):94–104. DOI:10.1093/swr/27.2.94
  • Davis LL. Instrument review: Getting the most from a panel of experts. Appl Nurs Res.. 1992;5(4):194–197. DOI:10.1016/S0897-1897(05)80008-4
  • Sencan H. Sosyal ve davranissal ölçümlerde güvenilirlik ve geçerlilik. 1st edition. Ankara: Ankara Seçkin Yayınevi; 2005. 1–710 p. (Turkish)
  • Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960 ;20(1):141–151. DOI:10.1177/001316446002000116
  • Beavers AS, Lounsbury JW, Richards JK, Huck SW, Skolits GJ, Esquivel SL. Practical considerations for using exploratory factor analysis in educational research. Pract Assessment, Res Eval. 2013;18(6):1–13. DOI:10.7275/qv2q-rk76
  • Zamanzadeh V, Ghahramanian A, Rassouli M, Abbaszadeh A, Alavi-Majd H, Nikanfar A-R. Design and implementation content validity study: development of an instrument for measuring patient-centered communication. J Caring Sci. 2015;4(2):165–178. DOI:10.15171/jcs.2015.017
  • Taherdoost H, Sahibuddin S, Jalaliyoon N. Exploratory Factor Analysis; Concepts and Theory (August 1, 2022). Advances in applied and pure mathematics, 27, 375-382, 2022 https://hal.archives-ouvertes.fr/hal-02557344/document
  • Grieder S, Steiner MD. Algorithmic jingle jungle: A comparison of implementations of principal axis factoring and promax rotation in R and SPSS. Behav Res Methods . 2022;54(1):54–74. DOI: 10.3758/s13428-021-01581-x
  • de Winter JCF, Dodou D. Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size. J Appl Stat . 2012;39(4):695–710. DOI:10.1080/02664763.2011.610445
  • Tabachnick BG, Fidell LS. Principal Components and Factor Analysis Seventh Ed. Using Multivariate Statistics. Boston: Pearson; 2019. 476–527 p. DOI:https://lccn.loc.gov/2017040173
  • Orcan F. Exploratory and confirmatory factor analysis: Which one to use first? J Meas Eval Educ Psychol. 2018;9(4):414–421. DOI: 10.21031/epod.394323
  • Ayar D, Ünalp A, Bektaş M, Yılmaz Ü, Karaoğlu P, Yalçıntuğ FM. Psychometric properties of a Turkish version of the quality of life in childhood epilepsy questionnaire. J Pediatr Nurs. 2022;62:91–97. DOI:10.1016/j.pedn.2021.09.009
  • Lim CR, Harris K, Dawson J, Beard DJ, Fitzpatrick R, Price AJ. Floor and ceiling effects in the OHS: an analysis of the NHS PROMs data set. BMJ Open. 2015;5(7):e007765. DOI:10.1136/bmjopen-2015-007765
  • Zhang H, Morrone MC, Alais D. Behavioural oscillations in visual orientation discrimination reveal distinct modulation rates for both sensitivity and response bias. Sci Rep. 2019 ;9(1):1-11. DOI: 10.1038/s41598-018-37918-4
  • Hair JF, Back WC, Babin BJ, Anderson RE. Preparation and Characterization of Nonwoven Fibrous Biocomposites for Footwear Components. Seventh Ed. Multivariate Data Analysis. New York: Pearson; 2010. 1–761 p.
  • Andersson N, Nilsson MH, Slaug B, Oswald F, Iwarsson S. The meaning of home questionnaire revisited: Psychometric analyses among people with Parkinson’s disease reveals new dimensions. Hoefer S, editor. PLoS One 2020 7;15(12):e0242792. DOI:10.1371/journal.pone.0242792
Year 2024, Volume: 14 Issue: 1, 237 - 244, 28.03.2024
https://doi.org/10.33808/clinexphealthsci.1281203

Abstract

References

  • Acog Committee Opinion. ACOG Committee Opinion No. 736: Optimizing Postpartum Care. Obstet Gynecol 2018;131(5):e140–50. DOI:10.1097/AOG.0000000000002633
  • Schaffir J, Kunkler A, Lynch CD, Benedict J, Soma L, Doering A. Association between postpartum physical symptoms and mood. J Psychosom Res. 2018;107:33–37. DOI:10.1016/j.jpsychores.2018.02.003
  • Akgun Ö, Duran Aksoy Ö. Determination of mothers’ postpartum comfort levels and affecting factors. J Contemp Med . 2020 ;10(3):385–393. DOI:10.16899/jcm.695648
  • Bahrami N, Karimian Z, Bahrami S, Bolbolhaghighi N. Comparing the postpartum quality of life between six to eight weeks and twelve to fourteen weeks after delivery in Iran. Iran Red Crescent Med J. 2014;16(7). e16985. DOI: 10.5812/ircmj.16985
  • Sivertsen B, Petrie KJ, Skogen JC, Hysing M, Eberhard-Gran M. Insomnia before and after childbirth: The risk of developing postpartum pain—A longitudinal population-based study. Eur J Obstet Gynecol Reprod Biol. 2017;210:348–354. DOI:10.1016/j.ejogrb.2017.01.020
  • Slomian J, Honvo G, Emonts P, Reginster J-Y, Bruyère O. Consequences of maternal postpartum depression: A systematic review of maternal and infant outcomes. Women’s Heal . 2019 ;15:174550651984404. DOI:10.1177/1745506519844044
  • Gaudet C, Wen SW, Walker MC. Chronic perinatal pain as a risk factor for postpartum depression symptoms in Canadian women. Can J Public Heal. 2013;104(5): e375–e387. DOI:10.17269/cjph.104.4029
  • Woolhouse H, Gartland D, Perlen S, Donath S, Brown SJ. Physical health after childbirth and maternal depression in the first 12 months post partum: Results of an Australian nulliparous pregnancy cohort study. Midwifery. 2014;30(3):378–384. DOI:10.1016/j.midw.2013.03.006
  • Cooklin AR, Amir LH, Nguyen CD, Buck ML, Cullinane M, Fisher JRW, Donath SM, CASTLE Study Team. Physical health, breastfeeding problems and maternal mood in the early postpartum: A prospective cohort study. Arch Womens Ment Health. 2018;21(3):365–374. DOI:10.1007/s00737-017-0805-y
  • Jeong YJ, Nho JH, Kim HY, Kim JY. Factors influencing quality of life in early postpartum women. Int J Environ Res Public Health. 2021;18(6):1–9. DOI:10.3390/ijerph18062988
  • Chien L-Y, Tai C-J, Hwang F-M, Huang C-M. Postpartum physical symptoms and depressive symptomatology at 1 month and 1 year after delivery: A longitudinal questionnaire survey. Int J Nurs Stud . 2009;46(9):1201–1208. DOI:10.1016/j.ijnurstu.2009.02.007
  • Aydin N, Inandi T, Yigit A, Hodoglugil NNS. Validation of the Turkish version of the Edinburgh Postnatal Depression Scale among women within their first postpartum year. Soc Psychiatry Psychiatr Epidemiol. 2004;39(6):483–486. DOI:10.1007/s00127-004-0770-4
  • Corapcioglu A, Ozer GU. Adaptation of revised Brief PHQ (Brief-PHQ-r) for diagnosis of depression, panic disorder and somatoform disorder in primary healthcare settings. Int J Psychiatry Clin Pract . 2004 ;8(1):11–18. DOI:10.1080/13651500310004452
  • Spitzer RL, Kroenke K, Williams JBW, and the Patient Health Questionnaire Primary Care Study Group. Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. JAMA. 1999;282(18):1737–1744. DOI:10.1001/jama.282.18.1737
  • Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry . 1987;150(6):782–786. DOI: 10.1192/bjp.150.6.782
  • Karagöz Y. SPSSPSS and AMOS 23 applied statistical analysis. 1st Edition. Ankara: Ankara Nobel Akademik Yayıncılık; 2019. 1–1075 p.
  • Wilkie S, Crawley R, Button S, Thornton A, Ayers S. Assessing physical symptoms during the postpartum period: reliability and validity of the primary health questionnaire somatic symptom subscale (PHQ-15). J Psychosom Obstet Gynecol . 2018 ;39(1):56–63. DOI: 10.1080/0167482X.2017.1289167
  • Kamysheva E, Skouteris H, Wertheim EH, Paxton SJ, Milgrom J. A prospective investigation of the relationships among sleep quality, physical symptoms, and depressive symptoms during pregnancy. J Affect Disord. 2010;123(1–3):317–20. DOI:10.1016/j.jad.2009.09.015
  • Henningsen P, Zimmermann T, Sattel H. Medically unexplained physical symptoms, anxiety, and depression: a meta-analytic review. Psychosom Med . 2003 65(4):528–533. DOI:10.1097/01.psy.0000075977.90337.e7
  • Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J Eval Clin Pract . 2011;17(2):268–274. DOI:10.1111/j.1365-2753.2010.01434.x
  • Wild D, Eremenco S, Mear I, Martin M, Houchin C, Gawlicki M, Hareendran A, Wiklund I, Chong LY, von Maltzahn R, Cohen L, Molsen E. Multinational trials-recommendations on the translations required, approaches to using the same language in different countries, and the approaches to support pooling the data: the ISPOR Patient-Reported Outcomes Translation and Linguistic Validation Good Research Practices Task Force report. Value Heal . 2009;12(4):430–440. DOI:10.1111/j.1524-4733.2008.00471.x
  • Polit DF, Beck CT, Owen S V. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health 200730(4):459–467. DOI:10.1002/nur.20199
  • Rubio DM, Berg-Weger M, Tebb SS, Lee ES, Rauch S. Objectifying content validity: Conducting a content validity study in social work research. Soc Work Res . 2003;27(2):94–104. DOI:10.1093/swr/27.2.94
  • Davis LL. Instrument review: Getting the most from a panel of experts. Appl Nurs Res.. 1992;5(4):194–197. DOI:10.1016/S0897-1897(05)80008-4
  • Sencan H. Sosyal ve davranissal ölçümlerde güvenilirlik ve geçerlilik. 1st edition. Ankara: Ankara Seçkin Yayınevi; 2005. 1–710 p. (Turkish)
  • Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960 ;20(1):141–151. DOI:10.1177/001316446002000116
  • Beavers AS, Lounsbury JW, Richards JK, Huck SW, Skolits GJ, Esquivel SL. Practical considerations for using exploratory factor analysis in educational research. Pract Assessment, Res Eval. 2013;18(6):1–13. DOI:10.7275/qv2q-rk76
  • Zamanzadeh V, Ghahramanian A, Rassouli M, Abbaszadeh A, Alavi-Majd H, Nikanfar A-R. Design and implementation content validity study: development of an instrument for measuring patient-centered communication. J Caring Sci. 2015;4(2):165–178. DOI:10.15171/jcs.2015.017
  • Taherdoost H, Sahibuddin S, Jalaliyoon N. Exploratory Factor Analysis; Concepts and Theory (August 1, 2022). Advances in applied and pure mathematics, 27, 375-382, 2022 https://hal.archives-ouvertes.fr/hal-02557344/document
  • Grieder S, Steiner MD. Algorithmic jingle jungle: A comparison of implementations of principal axis factoring and promax rotation in R and SPSS. Behav Res Methods . 2022;54(1):54–74. DOI: 10.3758/s13428-021-01581-x
  • de Winter JCF, Dodou D. Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size. J Appl Stat . 2012;39(4):695–710. DOI:10.1080/02664763.2011.610445
  • Tabachnick BG, Fidell LS. Principal Components and Factor Analysis Seventh Ed. Using Multivariate Statistics. Boston: Pearson; 2019. 476–527 p. DOI:https://lccn.loc.gov/2017040173
  • Orcan F. Exploratory and confirmatory factor analysis: Which one to use first? J Meas Eval Educ Psychol. 2018;9(4):414–421. DOI: 10.21031/epod.394323
  • Ayar D, Ünalp A, Bektaş M, Yılmaz Ü, Karaoğlu P, Yalçıntuğ FM. Psychometric properties of a Turkish version of the quality of life in childhood epilepsy questionnaire. J Pediatr Nurs. 2022;62:91–97. DOI:10.1016/j.pedn.2021.09.009
  • Lim CR, Harris K, Dawson J, Beard DJ, Fitzpatrick R, Price AJ. Floor and ceiling effects in the OHS: an analysis of the NHS PROMs data set. BMJ Open. 2015;5(7):e007765. DOI:10.1136/bmjopen-2015-007765
  • Zhang H, Morrone MC, Alais D. Behavioural oscillations in visual orientation discrimination reveal distinct modulation rates for both sensitivity and response bias. Sci Rep. 2019 ;9(1):1-11. DOI: 10.1038/s41598-018-37918-4
  • Hair JF, Back WC, Babin BJ, Anderson RE. Preparation and Characterization of Nonwoven Fibrous Biocomposites for Footwear Components. Seventh Ed. Multivariate Data Analysis. New York: Pearson; 2010. 1–761 p.
  • Andersson N, Nilsson MH, Slaug B, Oswald F, Iwarsson S. The meaning of home questionnaire revisited: Psychometric analyses among people with Parkinson’s disease reveals new dimensions. Hoefer S, editor. PLoS One 2020 7;15(12):e0242792. DOI:10.1371/journal.pone.0242792
There are 38 citations in total.

Details

Primary Language English
Subjects Midwifery (Other)
Journal Section Articles
Authors

Sena Dilek Aksoy 0000-0003-4366-5056

Nafiye Dutucu 0000-0002-2951-8415

Büşra Kaynar 0000-0001-8905-5507

Ayça Şolt Kırca 0000-0001-6733-5348

Early Pub Date March 23, 2024
Publication Date March 28, 2024
Submission Date April 11, 2023
Published in Issue Year 2024 Volume: 14 Issue: 1

Cite

APA Aksoy, S. D., Dutucu, N., Kaynar, B., Şolt Kırca, A. (2024). The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women. Clinical and Experimental Health Sciences, 14(1), 237-244. https://doi.org/10.33808/clinexphealthsci.1281203
AMA Aksoy SD, Dutucu N, Kaynar B, Şolt Kırca A. The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women. Clinical and Experimental Health Sciences. March 2024;14(1):237-244. doi:10.33808/clinexphealthsci.1281203
Chicago Aksoy, Sena Dilek, Nafiye Dutucu, Büşra Kaynar, and Ayça Şolt Kırca. “The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women”. Clinical and Experimental Health Sciences 14, no. 1 (March 2024): 237-44. https://doi.org/10.33808/clinexphealthsci.1281203.
EndNote Aksoy SD, Dutucu N, Kaynar B, Şolt Kırca A (March 1, 2024) The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women. Clinical and Experimental Health Sciences 14 1 237–244.
IEEE S. D. Aksoy, N. Dutucu, B. Kaynar, and A. Şolt Kırca, “The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women”, Clinical and Experimental Health Sciences, vol. 14, no. 1, pp. 237–244, 2024, doi: 10.33808/clinexphealthsci.1281203.
ISNAD Aksoy, Sena Dilek et al. “The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women”. Clinical and Experimental Health Sciences 14/1 (March 2024), 237-244. https://doi.org/10.33808/clinexphealthsci.1281203.
JAMA Aksoy SD, Dutucu N, Kaynar B, Şolt Kırca A. The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women. Clinical and Experimental Health Sciences. 2024;14:237–244.
MLA Aksoy, Sena Dilek et al. “The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women”. Clinical and Experimental Health Sciences, vol. 14, no. 1, 2024, pp. 237-44, doi:10.33808/clinexphealthsci.1281203.
Vancouver Aksoy SD, Dutucu N, Kaynar B, Şolt Kırca A. The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women. Clinical and Experimental Health Sciences. 2024;14(1):237-44.

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