Breakfast habits, sleep patterns, and family characteristics as indicators of students' academic achievement.

Male students had significantly higher academic achievement than female students.

• An independent samples t-test was used to determine the relationship between gender and academic achievement.
• The sample consisted of 1,059 students from the European side of Istanbul across primary, secondary, high school, and university levels.
• The finding was statistically significant, though specific t-values and p-values are not reported in the abstract.

Students who ate breakfast had significantly higher academic achievement than those who did not.

• The relationship between breakfast habits and academic achievement was assessed using the independent samples t-test in the second stage of analysis.
• Chi-Square testing in the first stage found that students living with their families had higher rates of eating breakfast.
• Students whose parents were high school graduates ate breakfast at higher rates.
• Students whose mothers were not employed and fathers were employed also had higher rates of eating breakfast.

Students who slept 8 hours or more had significantly higher academic achievement than those who slept less.

• Sleep duration of 8 hours or more was the threshold examined for its relationship with academic achievement.
• The independent samples t-test was used to assess this relationship.
• Chi-Square analysis in the first stage found that students living with their families also had higher rates of sleeping adequately.
• The finding was statistically significant, though specific effect sizes are not provided in the abstract.

Students whose parents had higher levels of education had significantly higher academic achievement.

• Parental education level was examined as a family demographic characteristic in relation to student academic achievement.
• The independent samples t-test was used in this analysis.
• Students whose parents were high school graduates were separately found to eat breakfast at higher rates, suggesting a mediating pathway.
• This applied to both maternal and paternal education levels.

Students whose fathers were employed had significantly higher academic achievement, but maternal employment status was not significantly associated with academic achievement.

• Father's employment was associated with significantly higher academic grades in the independent samples t-test analysis.
• No significant difference was found in academic grades of students with employed versus unemployed mothers.
• Students whose fathers were employed also had higher rates of eating breakfast, as found in the Chi-Square stage.
• This asymmetry between paternal and maternal employment effects was a notable finding of the study.

Students living with their families had significantly higher academic achievement than those not living with their families.

• Living arrangement was assessed as a family characteristic in relation to academic outcomes.
• Chi-Square analysis showed students living with their families had higher rates of both eating breakfast and sleeping adequately.
• The independent samples t-test confirmed that living with family was associated with significantly higher academic achievement.
• This suggests family living arrangements may support health-related behaviors that benefit academic performance.

Academic achievement differed significantly by school level, with primary and high school students outperforming other levels.

• Students at primary and high school levels had significantly higher academic achievement compared to other educational levels.
• The study included four levels: primary, secondary, high school, and university.
• The independent samples t-test was employed to detect these differences.
• Secondary and university students did not show the same achievement advantage.

Students who skipped breakfast reported lack of appetite, insufficient time, and morning drowsiness as primary reasons.

• This finding came from the third stage of the study, which used open-ended questioning of students who did not eat breakfast.
• Three main reasons were identified: lack of appetite, insufficient time, and morning drowsiness.
• This qualitative component supplemented the quantitative analyses conducted in stages one and two.
• The sample for this question was drawn from the subset of the 1,059 students who reported not eating breakfast.

Students who fell asleep in class attributed it primarily to sleep deprivation, boring lessons, and feeling tired.

• This finding also came from the third qualitative stage of the study.
• Three clustered reasons were identified: being sleep-deprived, finding the lesson boring, and feeling tired.
• Sleep deprivation was identified as a particularly prominent reason ('especially when sleep-deprived').
• These self-reported reasons connect in-class sleepiness to prior night's sleep patterns.

Students whose parents were high school graduates and whose fathers were employed had higher rates of eating breakfast.

• Chi-Square tests were used to examine these associations in the first stage of the study.
• Maternal non-employment combined with paternal employment was associated with higher breakfast consumption rates.
• Parental education at the high school level (not necessarily university level) was linked to higher breakfast rates.
• These findings suggest sociodemographic factors shape breakfast habits in school-aged children and young adults.