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Adolescents’ polycystic ovary syndrome health-related quality of life questionnaire (APQ-20): development and psychometric properties

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Abstract

Several health-related quality of life (HRQOL) questionnaires for adults with polycystic ovary syndrome (PCOS) have been developed so far. However, an adolescent-specific HRQOL questionnaire for PCOS patients is still lacking. Hence, this study aimed to develop and validate a questionnaire to assess HRQOL in adolescents with PCOS. This mixed-method study was conducted in Tehran, Iran, from 2018 to 2020. The qualitative phase was conducted on 18 target participants, and in the quantitative phase, exploratory factor analysis (EFA) was performed on 200 adolescents with PCOS and confirmatory factor analyses (CFA) on the other 200 ones. The item-developing process was finalized with 77 questions. Concerning the optimum cutoff of content validity ratio, content validity index, kappa statistic coefficient, and item impact score, a draft with 55 items was finalized. Then, piloting scale was performed on 40 participants and considering the interitem correlation < 0.3, fifteen items were excluded. Based on the EFA, 20 items in six components (emotion and mood, loss of attractiveness due to the hirsutism, loss of attractiveness due to the acne, self-care, support, and menstrual cycle problem) that explain 60.3% of the variance were extracted. The CFA with acceptable values of goodness-of-fit statistics supports this construct validity. Results of reliability, floor, and ceiling effect were acceptable.

  Conclusion: Our study showed that the short questionnaire of APQ-20 is valid and reliable for assessment of the HRQOL of adolescents with PCOS. Further studies are needed to assess the feasibility and reliability of APQ-20 for assessing the HRQOL of adolescents with PCOS. It constitutes a significant step forward in the measurement of HRQOL of adolescents with PCOS.

What is Known:

• There is no disease-specific questionnaire for assessment of the health-related quality of life (HRQOL) of adolescents with polycystic ovary syndrome (PCOS).

What is New:

• The short questionnaire of APQ-20 is easy to use, valid, and reliable for the assessment of the HRQOL of adolescents with PCOS.

• APQ-20 constitutes a significant step forward in the measurement of HRQOL of adolescents with PCOS.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

PCOS:

Polycystic ovary syndrome

HRQOL:

Health-related quality of life

SF-12:

12-Item Short Form Survey

EFA:

Exploratory factor analysis

CFA:

Confirmatory factor analyses

QOL:

Quality of life

HA:

Hyperandrogenism;

KMO:

Kaiser–Meyer–Olkin

CVR:

Content validity ratio

CVI:

Content validity index

S-CVI/UA:

Universal agreement

Pc:

Probability of chance agreement

GH:

General health

PF:

Physical functioning

RP:

Role physical

BP:

Body pain

VT:

Vitality

SF:

Social functioning

RE:

Role emotional

MH:

Mental health

Chi Sq:

Chi square (χ2)

df:

Degrees of freedom

CMIN/DF:

The χ2/degrees of freedom ratio

SRMR:

Standardized root-mean-square residual

CFI:

Comparative fit index

GFI:

Goodness-of-fit index

NFI:

Normed fit index

RMSEA:

Root mean square error of approximation

PNFI:

Parsimonious normed fit index

PCFI:

Parsimonious comparative fit index

ICC:

Intraclass correlation coefficients

BMI:

Body mass index

PCOSQ:

Polycystic ovary syndrome questionnaire

MPCOSQ:

Modified the PCOSQ

PCOSQOL:

Polycystic ovary syndrome quality of life scale

References

  1. Sawyer SM, Azzopardi PS, Wickremarathne D, Patton GC (2018) The age of adolescence. Lancet Child Adolesc Health 2:223–228

    Article  Google Scholar 

  2. Scherf KS, Behrmann M, Dahl RE (2012) Facing changes and changing faces in adolescence: a new model for investigating adolescent-specific interactions between pubertal, brain and behavioral development. Dev Cogn Neurosci 2:199–219

    Article  PubMed  Google Scholar 

  3. Jaworska N, MacQueen G (2015) Adolescence as a unique developmental period. J Psychiatr Neurosci 40:291

    Article  Google Scholar 

  4. Peña AS, Witchel SF, Hoeger KM, Oberfield SE, Vogiatzi MG, Misso M, Garad R, Dabadghao P, Teede H (2020) Adolescent polycystic ovary syndrome according to the international evidence-based guideline. BMC Med 18:1–16

    Article  Google Scholar 

  5. Naz MSG, Tehrani FR, Majd HA, Ahmadi F, Ozgoli G, Fakari FR, Ghasemi V (2019) The prevalence of polycystic ovary syndrome in adolescents: a systematic review and meta-analysis. Int J Reprod BioMed 17:533

    PubMed  PubMed Central  Google Scholar 

  6. Roe AH, Dokras A (2011) The diagnosis of polycystic ovary syndrome in adolescents. Rev Obstet Gynecol 4:45

    PubMed  PubMed Central  Google Scholar 

  7. Gilbert EW, Tay CT, Hiam DS, Teede HJ, Moran LJ (2018) Comorbidities and complications of polycystic ovary syndrome: an overview of systematic reviews. Clin Endocrinol 89:683–699

    Article  Google Scholar 

  8. Witchel SF, Oberfield SE, Peña AS (2019) Polycystic ovary syndrome: pathophysiology, presentation, and treatment with emphasis on adolescent girls. J Endocr Soc 3:1545–1573

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Dumesic DA, Lobo RA (2013) Cancer risk and PCOS. Steroids 78:782–785

    Article  CAS  PubMed  Google Scholar 

  10. Harris HR, Terry KL (2016) Polycystic ovary syndrome and risk of endometrial, ovarian, and breast cancer: a systematic review. Fertil Res Pract 2:1–9

    Article  Google Scholar 

  11. Wen Y, Wu X, Peng H, Li C, Jiang Y, Su Z, Liang H, Liu J, He J, Liang W (2021) Breast cancer risk in patients with polycystic ovary syndrome: a Mendelian randomization analysis. Breast Cancer Res Treat 185:799–806

    Article  CAS  PubMed  Google Scholar 

  12. Moghadam ZB, Fereidooni B, Saffari M, Montazeri A (2018) Measures of health-related quality of life in PCOS women: a systematic review. Int J Women’s Health 10:397

    Article  Google Scholar 

  13. Moghadam ZB, Fereidooni B, Saffari M, Montazeri A (2018) Polycystic ovary syndrome and its impact on Iranian women’s quality of life: a population-based study. BMC Womens Health 18:1–8

    Google Scholar 

  14. Sánchez-Ferrer ML, Adoamnei E, Prieto-Sánchez MT, Mendiola J, Corbalán-Biyang S, Moñino-García M, Palomar-Rodríguez JA, Torres-Cantero AM (2020) Health-related quality of life in women with polycystic ovary syndrome attending to a tertiary hospital in Southeastern Spain: a case-control study. Health Qual Life Outcomes 18:1–10

    Article  Google Scholar 

  15. Cronin L, Guyatt G, Griffith L, Wong E, Azziz R, Futterweit W, Cook D, Dunaif A (1998) Development of a health-related quality-of-life questionnaire (PCOSQ) for women with polycystic ovary syndrome (PCOS). J Clin Endocrinol Metab 83:1976–1987

    CAS  PubMed  Google Scholar 

  16. Barnard L, Ferriday D, Guenther N, Strauss B, Balen A, Dye L (2007) Quality of life and psychological well being in polycystic ovary syndrome. Hum Reprod 22:2279–2286

    Article  CAS  PubMed  Google Scholar 

  17. Nasiri-Amiri F, Tehrani FR, Simbar M, Montazeri A, Mohammadpour RA (2016) Health-related quality of life questionnaire for polycystic ovary syndrome (PCOSQ-50): development and psychometric properties. Qual Life Res 25:1791–1801

    Article  PubMed  Google Scholar 

  18. Williams S, Sheffield D, Knibb RC (2018) The Polycystic Ovary Syndrome Quality of Life scale (PCOSQOL): development and preliminary validation. Health Psychol Open 5:2055102918788195–2055102918788195

    Article  PubMed  PubMed Central  Google Scholar 

  19. Frisén A (2007) Measuring health-related quality of life in adolescence. Acta Paediatr 96:963–968

    Article  PubMed  Google Scholar 

  20. Wilson NA, Peña AS (2020) Quality of life in adolescent girls with polycystic ovary syndrome. J Paediatr Child Health 56:1351–1357

    Article  PubMed  Google Scholar 

  21. Helfert S, Warschburger P (2013) The face of appearance-related social pressure: gender, age and body mass variations in peer and parental pressure during adolescence. Child Adolesc Psychiatr Ment Health 7:16

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lee AT, Zane LT (2007) Dermatologic manifestations of polycystic ovary syndrome. Am J Clin Dermatol 8:201–219

    Article  PubMed  Google Scholar 

  23. Trent M, Gordon CM (2020) Diagnosis and management of polycystic ovary syndrome in adolescents. Pediatrics 145:S210–S218

    Article  PubMed  Google Scholar 

  24. Ravens-Sieberer U, Karow A, Barthel D, Klasen F (2014) How to assess quality of life in child and adolescent psychiatry. Dialogues Clin Neurosci 16:147–158

    Article  PubMed  PubMed Central  Google Scholar 

  25. Suris J-C, Michaud P-A, Viner R (2004) The adolescent with a chronic condition. Part I: developmental issues. Arch Dis Child 89:938–942

    Article  PubMed  PubMed Central  Google Scholar 

  26. Rosenfield RL (2015) The diagnosis of polycystic ovary syndrome in adolescents. Pediatrics 136:1154–1165

    Article  PubMed  Google Scholar 

  27. Shenton AK (2004) Strategies for ensuring trustworthiness in qualitative research projects. Educ Inf 22:63–75

    Google Scholar 

  28. Lawshe CH (1975) A quantitative approach to content validity. Pers Psychol 28:563–575

    Article  Google Scholar 

  29. Polit DF, Beck CT (2006) The content validity index: are you sure you know what’s being reported? Critique and recommendations. Res Nurs Health 29:489–497

    Article  PubMed  Google Scholar 

  30. Cicchetti DV, Sparrow SA (1981) Developing criteria for establishing interrater reliability of specific items: applications to assessment of adaptive behavior. Am J Ment Defic

  31. DeVon HA, Block ME, Moyle-Wright P, Ernst DM, Hayden SJ, Lazzara DJ, Savoy SM, Kostas-Polston E (2007) A psychometric toolbox for testing validity and reliability. J Nurs Scholarsh 39:155–164

    Article  PubMed  Google Scholar 

  32. Bolarinwa OA (2015) Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Niger Postgrad Med J 22:195

    Article  PubMed  Google Scholar 

  33. Lacasse Y, Godbout C, Series F (2002) Health-related quality of life in obstructive sleep apnoea. Eur Respir J 19:499–503

    Article  CAS  PubMed  Google Scholar 

  34. Ferguson E, Cox T (1993) Exploratory factor analysis: a users’ guide. Int J Sel Assess 1:84–94

    Article  Google Scholar 

  35. Rattray J, Jones MC (2007) Essential elements of questionnaire design and development. J Clin Nurs 16:234–243

    Article  PubMed  Google Scholar 

  36. Chaudhary AK, Israel GD (2015) The savvy survey# 8: pilot testing and pretesting questionnaires. EDIS 2015:6–6

    Article  Google Scholar 

  37. Ferketich S (1991) Focus on psychometrics. Aspects of item analysis. Res Nurs Health 14:165–168

    Article  CAS  PubMed  Google Scholar 

  38. Anthoine E, Moret L, Regnault A, Sébille V, Hardouin J-B (2014) Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcomes 12:2

    Article  PubMed  PubMed Central  Google Scholar 

  39. Goretzko D, Pham TTH, Bühner M (2021) Exploratory factor analysis: current use, methodological developments and recommendations for good practice. Curr Psychol 40:3510–3521

    Article  Google Scholar 

  40. Jenkinson C, Layte R (1997) Development and testing of the UK SF-12. J Health Serv Res Policy 2:14–18

    Article  CAS  PubMed  Google Scholar 

  41. Montazeri A, Vahdaninia M, Mousavi SJ, Omidvari S (2009) The Iranian version of 12-item Short Form Health Survey (SF-12): factor structure, internal consistency and construct validity. BMC Public Health 9:341

    Article  PubMed  PubMed Central  Google Scholar 

  42. Abma IL, Rovers M, van der Wees PJ (2016) Appraising convergent validity of patient-reported outcome measures in systematic reviews: constructing hypotheses and interpreting outcomes. BMC Res Notes 9:226

    Article  PubMed  PubMed Central  Google Scholar 

  43. Salyers MP, Bosworth HB, Swanson JW, Lamb-Pagone J, Osher FC (2000) Reliability and validity of the SF-12 health survey among people with severe mental illness. Med Care 1141–1150

  44. Wukich DK, Sambenedetto TL, Mota NM, Suder NC, Rosario BL (2016) Correlation of SF-36 and SF-12 component scores in patients with diabetic foot disease. J Foot Ankle Surg 55:693–696

    Article  PubMed  PubMed Central  Google Scholar 

  45. Akoglu H (2018) User’s guide to correlation coefficients. Turk J Emerg Med 18:91–93

    Article  PubMed  PubMed Central  Google Scholar 

  46. Taber KS (2018) The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ 48:1273–1296

    Article  Google Scholar 

  47. Bujang MA, Baharum N (2017) A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: a review. Arch Orofac Sci 12

  48. Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163

    Article  PubMed  PubMed Central  Google Scholar 

  49. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, Bouter LM, de Vet HC (2007) Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 60:34–42

    Article  PubMed  Google Scholar 

  50. Little TD, Jorgensen TD, Lang KM, Moore EWG (2014) On the joys of missing data. J Pediatr Psychol 39:151–162

    Article  PubMed  Google Scholar 

  51. Schermelleh-Engel K, Moosbrugger H, Müller H (2003) Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res Online 8:23–74

    Google Scholar 

  52. Hu L-t, Bentler PM (1998) Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychol Methods 3:424

    Article  Google Scholar 

  53. Hooper D, Coughlan J, Mullen M (2008) Equation modelling: Guidelines for determining model fit. Electron J Bus Res Methods 6:53–60

    Google Scholar 

  54. Schreiber JB, Nora A, Stage FK, Barlow EA, King J (2006) Reporting structural equation modeling and confirmatory factor analysis results: a review. J Educ Res 99:323–338

    Article  Google Scholar 

  55. Waltz CF, Strickland OL, Lenz ER (2010) Measurement in nursing and health research. Springer publishing company

  56. Saunders B, Sim J, Kingstone T, Baker S, Waterfield J, Bartlam B, Burroughs H, Jinks C (2018) Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant 52:1893–1907

    Article  PubMed  Google Scholar 

  57. Worthington RL, Whittaker TA (2006) Scale development research: a content analysis and recommendations for best practices. Couns Psychol 34:806–838

    Article  Google Scholar 

  58. Tabachnick B, Fidell L, Ullman J (2019) Using multivariate statistics. Seventh. Pearson, Boston (MA)

    Google Scholar 

  59. Lee S-Y (2011) Handbook of latent variable and related models. Elsevier

    Google Scholar 

  60. Doretto L, Mari FC, Chaves AC (2020) Polycystic ovary syndrome and psychotic disorder. Front Psych 11:543

    Article  Google Scholar 

  61. Bazarganipour F, Taghavi SA, Montazeri A, Ahmadi F, Chaman R, Khosravi A (2015) The impact of polycystic ovary syndrome on the health-related quality of life: a systematic review and meta-analysis. Iran J Reprod med 13:61

    PubMed  PubMed Central  Google Scholar 

  62. Besenek M, Gurlek B (2021) Hyperandrogenism in polycystic ovary syndrome affects psychological well-being of adolescents. J Obstet Gynaecol Res 47:137–146

    Article  PubMed  Google Scholar 

  63. Mokkink LB, Terwee CB, Knol DL, Stratford PW, Alonso J, Patrick DL, Bouter LM, De Vet HC (2010) The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: a clarification of its content. BMC Med Res Methodol 10:1–8

    Article  Google Scholar 

  64. Cortina JM (1993) What is coefficient alpha? An examination of theory and applications. J Appl Psychol 78:98

    Article  Google Scholar 

  65. Ursachi G, Horodnic IA, Zait A (2015) How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Econom Finance 20:679–686

    Article  Google Scholar 

  66. Kolahi L, Asemi N, Mirzaei M, Adibi N, Beiraghdar M, Mehr AM (2015) The relationship between quality of life and coping strategies in polycystic ovary syndrome patients. Adv Biomed Res 4

  67. Sodergren SC, Husson O, Robinson J, Rohde GE, Tomaszewska IM, Vivat B, Dyar R, Darlington A-S, Group EQoL (2017) Systematic review of the health-related quality of life issues facing adolescents and young adults with cancer. Qual Life Res 26:1659–1672

    Article  Google Scholar 

  68. Moghadam ZB, Fereidooni B, Saffari M, Montazeri A (2018) Polycystic ovary syndrome and its impact on Iranian women’s quality of life: a population-based study. BMC Womens Health 18:164

    Article  Google Scholar 

  69. Fliegner M, Richter-Appelt H, Krupp K, Brunner F (2019) Sexual function and socio-sexual difficulties in women with polycystic ovary syndrome (PCOS). Geburtshilfe Frauenheilkd 79:498

    Article  PubMed  PubMed Central  Google Scholar 

  70. Holton S, Hammarberg K, Johnson L (2018) Fertility concerns and related information needs and preferences of women with PCOS. Hum Reprod Open 2018:hoy019

  71. Merino PM, Codner E, Cassorla F (2011) A rational approach to the diagnosis of polycystic ovarian syndrome during adolescence. Arq Bras Endocrinol Metabol 55:590–598

    Article  Google Scholar 

  72. Hearst MO, Sherwood NE, Klein EG, Pasch KE, Lytle LA (2011) Parental perceptions of their adolescent’s weight status: the ECHO study. Am J Health Behav 35:248–255

    Article  PubMed  PubMed Central  Google Scholar 

  73. Robinson E (2017) Overweight but unseen: a review of the underestimation of weight status and a visual normalization theory. Obes Rev 18:1200–1209

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Silva SA, Silva SU, Ronca DB, Gonçalves VSS, Dutra ES, Carvalho KMB (2020) Common mental disorders prevalence in adolescents: a systematic review and meta-analyses. PLoS ONE 15:e0232007

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Ghafari M, Nadi T, Bahadivand-Chegini S, Doosti-Irani A (2022) Global prevalence of unmet need for mental health care among adolescents: a systematic review and meta-analysis. Arch Psychiatr Nurs 36:1–6

    Article  PubMed  Google Scholar 

  76. Wahid SS, Ottman K, Hudhud R, Gautam K, Fisher HL, Kieling C, Mondelli V, Kohrt BA (2021) Identifying risk factors and detection strategies for adolescent depression in diverse global settings: A Delphi consensus study. J Affect Disord 279:66–74

    Article  PubMed  PubMed Central  Google Scholar 

  77. Hoare E, Milton K, Foster C, Allender S (2016) The associations between sedentary behaviour and mental health among adolescents: a systematic review. Int J Behav Nutr Phys Act 13:108

    Article  PubMed  PubMed Central  Google Scholar 

  78. Mesman E, Vreeker A, Hillegers M (2021) Resilience and mental health in children and adolescents: an update of the recent literature and future directions. Curr Opin Psychiatr 34:586–592

    Article  PubMed  PubMed Central  Google Scholar 

  79. Lee I, Dokras A (2020) Mental health and body image in polycystic ovary syndrome. Curr Opin Endocr Metab Res 12:85–90

    Article  Google Scholar 

  80. McDougall J, Baldwin P, Evans J, Nichols M, Etherington N, Wright V (2016) Quality of life and self-determination: youth with chronic health conditions make the connection. Appl Res Qual Life 11:571–599

    Article  PubMed  Google Scholar 

  81. Litman JA (2006) The COPE inventory: dimensionality and relationships with approach-and avoidance-motives and positive and negative traits. Pers Individ Differ 41:273–284

    Article  Google Scholar 

  82. Beckerman H, Roebroeck M, Lankhorst G, Becher J, Bezemer PD, Verbeek A (2001) Smallest real difference, a link between reproducibility and responsiveness. Qual Life Res 10:571–578

    Article  CAS  PubMed  Google Scholar 

  83. Motl RW, McAuley E, DiStefano C (2005) Is social desirability associated with self-reported physical activity? Prev Med 40:735–739

    Article  PubMed  Google Scholar 

  84. Piko BF (2007) Self-perceived health among adolescents: the role of gender and psychosocial factors. Eur J Pediatr 166:701–708

    Article  PubMed  Google Scholar 

  85. Beaton DE, Bombardier C, Guillemin F, Ferraz MB (2000) Guidelines for the process of cross-cultural adaptation of self-report measures. Spine 25:3186–3191

    Article  CAS  PubMed  Google Scholar 

  86. Prakash V, Shah S, Hariohm K (2019) Cross-cultural adaptation of patient-reported outcome measures: a solution or a problem? Ann Phys Rehabil Med 62:174–177

    Article  CAS  PubMed  Google Scholar 

  87. Martens P, Dreher A, Gaston N (2008) The global village and the social and cultural aspects of globalisation. Bond Univ Globalization Dev Center

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Acknowledgements

We thank all adolescents for their participation.

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Authors’ contributions

Conceptualization and project administration: MSG, FRT, GO. Methodology, data curtain, software, formal analysis: MSG, FRT, GO, HAM, FA. Original draft preparation, review and editing: MSG, FRT, GO, AA, FA, HAM.

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Correspondence to Fahimeh Ramezani Tehrani.

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Ethical approval

This study was carried out in accordance with the Declaration of Helsinki. The research protocol was reviewed and confirmed by the ethics committee of the Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (ethical code: IR.SBMU.ENDOCRINE.REC.1398.095).

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Participants and their parents or legal guardians were informed about the research objectives and gave voluntary informed written consent. Any participant had the unconditional and absolute right to suspend or cancel her participation in the study at any time for any reason. The personal identifiers of particpants were not stored.

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This is not applicable.

Competing interests

This study is a part of a PhD dissertation of first author that approved by Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran. Iran. The authors declare no competing interests.

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Saei Ghare Naz, M., Ozgoli, G., Ahmadi, F. et al. Adolescents’ polycystic ovary syndrome health-related quality of life questionnaire (APQ-20): development and psychometric properties. Eur J Pediatr 182, 2393–2407 (2023). https://doi.org/10.1007/s00431-023-04875-8

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