Literature DB >> 24936735

[The importance of memory bias in obtaining age of menarche by recall method in Brazilian adolescents].

Silvia Diez Castilho1, Luciana Bertoldi Nucci2, Samanta Ramos Assuino3, Lucca Ortolan Hansen3.   

Abstract

OBJECTIVE: To compare the age at menarche obtained by recall method according to the time elapsed since the event, in order to verify the importance of the recall bias. SUBJECTS AND METHODS: Were evaluated 1,671 girls (7-18 years) at schools in Campinas-SP regarding the occurrence of menarche by the status quo method (menarche: yes or no) and the recall method (date of menarche, for those who mentioned it). The age at menarche obtained by the status quo method was calculated by logit, which considers the whole group, and the age obtained by the recall method was calculated as the average of the mentioned age at menarche. In this group, the age at menarche was obtained by the difference between the date of the event and the date of birth. Girls who reported menarche (883, 52.8%) were divided into four groups according to the time elapsed since the event. To analyze the results, we used ANOVA and logistic regression for the analysis, with a significance level of 0.05.
RESULTS: The age at menarche calculated by logit was 12.14 y/o (95% CI 12.08 to 12.20). Mean ages obtained by recall were: for those who experienced menarche within the previous year 12.26 y/o (±1.14), between > 1-2 years before, 12.29 y (±1.22); between > 2-3 years before, 12.23 y/o (±1.27); and more than 3 years before, 11.55y/o (±1.24), p < 0.001.
CONCLUSION: The age at menarche obtained by the recall method was similar for girls who menstruated within the previous 3 years (and approaches the age calculated by logit); when more than 3 years have passed, the recall bias was significant.

Entities:  

Mesh:

Year:  2014        PMID: 24936735     DOI: 10.1590/0004-2730000003080

Source DB:  PubMed          Journal:  Arq Bras Endocrinol Metabol        ISSN: 0004-2730


  4 in total

1.  Prenatal lead exposure in relation to age at menarche: results from a longitudinal study in Mexico City.

Authors:  E C Jansen; L Zhou; P X K Song; B N Sánchez; A Mercado; H Hu; M Solano; K E Peterson; M M Tellez-Rojo
Journal:  J Dev Orig Health Dis       Date:  2018-04-30       Impact factor: 2.401

2.  Validity of self-reported age at menarche in computer-assisted interview among Chinese schoolgirls: a cross-sectional study.

Authors:  Yanyan Mao; Qiguo Lian; Xiayun Zuo; Yan Zhang; Shan Luo; Shucheng Zhang; Xiaowen Tu; Chaohua Lou; Weijin Zhou
Journal:  BMJ Open       Date:  2018-01-23       Impact factor: 2.692

3.  Menarche, pregnancies, and breastfeeding do not modify long-term prognosis in multiple sclerosis.

Authors:  María I Zuluaga; Susana Otero-Romero; Alex Rovira; Santiago Perez-Hoyos; Georgina Arrambide; Laura Negrotto; Ingrid Galán; Jordi Río; Manuel Comabella; Carlos Nos; María Jesús Arévalo; Angela Vidal-Jordana; Joaquin Castilló; Breogán Rodríguez; Luciana Midaglia; Patricia Mulero; Raquel Mitjana; Cristina Auger; Jaume Sastre-Garriga; Xavier Montalban; Mar Tintoré
Journal:  Neurology       Date:  2019-03-01       Impact factor: 9.910

4.  Rural-urban variations in age at menarche, adult height, leg-length and abdominal adiposity in black South African women in transitioning South Africa.

Authors:  Rihlat Said-Mohamed; Alessandra Prioreschi; Lukhanyo H Nyati; Alastair van Heerden; Richard J Munthali; Kathleen Kahn; Stephen M Tollman; Francesc Xavier Gómez-Olivé; Brian Houle; David B Dunger; Shane A Norris
Journal:  Ann Hum Biol       Date:  2018-03-20       Impact factor: 1.533

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.