PURPOSE: To examine the validity of maturation self-assessments and to investigate the association between race and validity of self-assessments among young black and white girls. METHODS: Self-assessments and examiner-assessments of areolar and pubic hair development using line drawings were compared at three visits among a cohort of 11- to 14-year-old girls enrolled in the National Heart, Lung, and Blood Institute's Growth and Health Study. Accuracy rates and kappa coefficients were calculated to measure the agreement between girls and examiners. Logistic regression models were used to assess the racial differences in the accuracy of self-assessments while adjusting for possible confounders. RESULTS: Fair to moderate agreement was found between self- and examiner-assessments (areolar self-assessments: adjusted accuracy rates: 60.7-69.9%, kappa: 0.32-0.51; pubic hair self-assessments: adjusted accuracy rates: 57.9-70.7%, kappa: 0.36-0.55). While there were indications of racial differences in the ability to perform self-assessment with black girls tending to self-assess less accurately, most of the differences disappeared after adjusting for nurse-assessed stage. CONCLUSIONS: These findings suggest that self-assessment can substitute for examiner evaluations only when crude estimates of maturation are needed. However, when accurate maturation stage data are required, examiner-assessments are necessary. Because black girls are usually more pubertally advanced and tend to underestimate their development, the value of self-assessment is questionable for assessing populations with young black and white girls. Use of self-assessment might present biased estimates of maturation and confound research findings.
PURPOSE: To examine the validity of maturation self-assessments and to investigate the association between race and validity of self-assessments among young black and white girls. METHODS: Self-assessments and examiner-assessments of areolar and pubic hair development using line drawings were compared at three visits among a cohort of 11- to 14-year-old girls enrolled in the National Heart, Lung, and Blood Institute's Growth and Health Study. Accuracy rates and kappa coefficients were calculated to measure the agreement between girls and examiners. Logistic regression models were used to assess the racial differences in the accuracy of self-assessments while adjusting for possible confounders. RESULTS: Fair to moderate agreement was found between self- and examiner-assessments (areolar self-assessments: adjusted accuracy rates: 60.7-69.9%, kappa: 0.32-0.51; pubic hair self-assessments: adjusted accuracy rates: 57.9-70.7%, kappa: 0.36-0.55). While there were indications of racial differences in the ability to perform self-assessment with black girls tending to self-assess less accurately, most of the differences disappeared after adjusting for nurse-assessed stage. CONCLUSIONS: These findings suggest that self-assessment can substitute for examiner evaluations only when crude estimates of maturation are needed. However, when accurate maturation stage data are required, examiner-assessments are necessary. Because black girls are usually more pubertally advanced and tend to underestimate their development, the value of self-assessment is questionable for assessing populations with young black and white girls. Use of self-assessment might present biased estimates of maturation and confound research findings.
Authors: Mary Beth Terry; Mandy Goldberg; Sarah Schechter; Lauren C Houghton; Melissa L White; Karen O'Toole; Wendy K Chung; Mary B Daly; Theresa H M Keegan; Irene L Andrulis; Angela R Bradbury; Lisa Schwartz; Julia A Knight; Esther M John; Saundra S Buys Journal: Pediatrics Date: 2016-06-08 Impact factor: 7.124
Authors: Audrey J Gaskins; Ana Pereira; Daiana Quintiliano; John A Shepherd; Ricardo Uauy; Camila Corvalán; Karin B Michels Journal: Am J Clin Nutr Date: 2017-04-05 Impact factor: 7.045
Authors: Ann Clawson; John F Strang; Gregory L Wallace; Veronica Gomez-Lobo; Allison Jack; Sara J Webb; Kevin A Pelphrey Journal: Res Autism Spectr Disord Date: 2020-07-07
Authors: Natalie D Shaw; James L Goodwin; Graciela E Silva; Janet E Hall; Stuart F Quan; Atul Malhotra Journal: J Clin Sleep Med Date: 2013-08-15 Impact factor: 4.062
Authors: Ammar Khairullah; Margaret T May; Kate Tilling; Laura D Howe; Gabriel Leonard; Michel Perron; Louis Richer; Suzanne Veillette; Zdenka Pausova; Tomáš Paus Journal: Int J Dev Sci Date: 2013
Authors: Simon Lee; Vassiliki Bountziouka; Sooky Lum; Janet Stocks; Rachel Bonner; Mitesh Naik; Helen Fothergill; Jonathan C K Wells Journal: PLoS One Date: 2014-12-05 Impact factor: 3.240
Authors: Peggy Reynolds; Alison J Canchola; Christine N Duffy; Susan Hurley; Susan L Neuhausen; Pamela L Horn-Ross; Rudolph P Rull Journal: Environ Res Date: 2020-02-04 Impact factor: 6.498