Menstrual cycle is a major concept of female reproductive system in addition, there is increasing attention paid to the adverse effects of skipping breakfast and menstrual regularity, pain, and premenstrual syndromes. Therefore, the current study attempts to investigate this issue.
Aim
The aim of the present study was to examine the effect of breakfast skipping on menstrual cycle among young females.
Method and Material:
The present study was carried out with the aim of examining the effect of breakfast skipping on menstrual cycle among young females.
Research hypotheses:
1- The girls who have breakfast meal have regular cycle than those who do not.
VOLUME 8 (2014),ISSUE 4 H HE EA AL LT TH H S SC CI IE EN NC CE E J JO OU UR RN NA AL L
Effect of breakfast skipping on young females’ menstruation.Health Science Journal.2014;8 (4) Page | 471
2- The girls who have breakfast meal have less menstrual pain (dysmenorrhea), and less premenstrual syndromes than those who do not.
Research design
The cross sectional descriptive design was used in the current study.
Sample
A convenient sample of 300 girls of young females were selected from faculty of nursing in Menoufiya University - Egypt.
Inclusion criteria
The girl should meet the following criteria; young female from 17- 22 years old, not use contraception methods and having no menstrual disorders.
Tools
The tools used for data collection was designed by the researcher based on review of pertinent literature and being revised by subject area experts. Face validity; was determined by colleagues from the same department at Menoufiya University who reviewed this instruments and judged it to measure what intended to be measured . Experts were also asked to judge the items for their adequacy (content validity). Reliability was assessed twice by applying the tools on 5 women who were excluded from the study (pilot study). The reliability tool was tested by test re-test reliability and it was (0.78). The tools were an interviewing questionnaire that contained many portions; part I contained; sociodemgraphic data (e.g. age, academic level, social history, family income and family