Skipping breakfast and its association with sociodemographic characteristics, night eating syndrome, and sleep quality among university students in Bangladesh

INTRODUCTION

Skipping breakfast has become more common, and it can significantly affect a person's health, performance, mood, and other physiological and psychological factors. In Bangladesh, university students often encounter unhealthy dietary habits, which raises questions about why many university students choose to skip breakfast. The purpose of this study was to investigate the prevalence of skipping breakfast among university students in Bangladesh and explore the contributing factors.

METHODS

Patuakhali Science and Technology University, Bangladesh was the location of this cross-sectional study. Breakfast consumption was measured with the single-question item, "How often do you eat breakfast?" (Almost every day, sometimes, rarely, or never). Skipping breakfast was classified as respondents selecting sometimes, rarely, or never having breakfast. Sociodemographic, behavioral, and sleep-related data were collected as key predictor variables. Multiple logistic regression models identified factors associated with skipping breakfast.

RESULTS

The prevalence of skipping breakfast among study participants (N = 502, 51.6% female and mean age 21.31 years) was 63.5%. Female students were more likely to skip breakfast compared to male students (adjusted odds ratio, AOR = 1.65, 95% CI: 1.06-2.55). Smoker participants had a higher likelihood of skipping breakfast compared to non-smokers (AOR = 3.92, 95% CI: 1.57-9.78). Students with night eating syndrome had a higher likelihood of skipping breakfast compared to their counterparts (AOR = 1.84, 95% CI: 1.06-3.22). Students with poor sleep quality were three times more likely to skip breakfast than their counterparts (AOR = 2.95, 95% CI: 1.93-4.51). Overweight/obese students were less likely to skip breakfast compared to their counterparts (AOR = 0.40, 95% CI: 0.20-0.82).

CONCLUSION

This study highlights a high prevalence of skipping breakfast among university students in Bangladesh. Specifically, students who are females, smokers, poor sleepers and who have night eating syndrome are more likely to skip breakfast compared to their counterparts. These findings underscore a need for targeted interventions and educational programs to promote healthy breakfast habits. Addressing these modifiable risk factors can have a positive impact on students' nutritional practices and their health and wellbeing.

Risk indicators of dental caries in 5-year-old Brazilian children

OBJECTIVE

To report the prevalence and severity of dental caries and to identify caries risk indicators among gender, clinical and socioeconomic variables in 5-year-old children attending preschools in Piracicaba, Brazil, in 2005.

METHOD

The random sample consisted of 728 subjects attending public and private preschools that were examined by a calibrated dentist. Dental caries was measured using WHO criteria. The socioeconomic variables (type of school, monthly family income, number of people living in the household, parents' educational level and home ownership) were collected by means of a parental semi structured questionnaire.

RESULTS

The mean dmft was 1.30 (SD=2.47); 62.2% were caries-free. The multiple logistic regression analyses showed that the risk indicators of caries were father's incomplete college education and presence of initial lesion.

CONCLUSIONS

The prevalence of dental caries in 5-year-old preschool attenders in Piracicaba was moderate, and father's educational status below undergraduate level, as well as presence of initial lesions, were risk indicators of the disease.

A microcomputer-based data acquisition system for continuous recording of feeding and drinking by rats

A monitoring system to continuously record the daily pattern of drinking and eating of rats is described. This system, based on a North Star microcomputer, can record the amount of food ingested with a temporal resolution of +/- 1.0 second and quantitative accuracy within +/- 5%. Drinking behavior is detected using a drinkometer which also has a temporal resolution of +/- 1.0 second. Data are analyzed by computer to determine absolute amounts of consumption and patterns of intake. The patterns of feeding and drinking recorded by this system are similar to those observed using other monitoring devices.