New research reveals that night owls may face a higher risk of obesity and slower metabolism due to their tendency to consume a significant portion of daily calories late at night. This study focused on women of European and Pacific descent living in New Zealand.
Research by van der Merwe et al. examined the link between chronotype and dietary habits, meal timing, body composition, and metabolic indicators in healthy women of European and Pacific descent in New Zealand. Image credit: RitaE.
Humans generally organize their sleep and wake patterns within a 24-hour cycle based on personal preferences.
These preferences are known as chronotypes, impacting not only sleep and wake times but also meal timing.
Morning people typically wake and sleep several hours earlier than night owls.
Understanding your chronotype can provide insight into your eating habits.
“Are you an early riser or a night owl? An early riser is classified as a morning chronotype, while a night owl prefers later bedtimes and wake-up times,” says Professor Roseanne Kruger from Massey University and Griffith University.
“Chronotype has significant effects on our food preferences, behaviors, and metabolic health.”
The study monitored 287 healthy women from European and Pacific Islander backgrounds in New Zealand.
Participants completed extensive questionnaires on sleep patterns, maintained a 5-day food diary, underwent body composition scans, and provided fasting blood samples for metabolic analysis.
Results showed over half the participants were classified as intermediate chronotypes, 34% as night owls, and 12% as morning owls.
The average BMI for night owls was 31.4 compared to 26.1 for morning and intermediate chronotypes.
Night owls displayed higher total body fat and a higher android-to-gynoid fat ratio, which is linked to abdominal fat accumulation.
Although total daily food intake was similar, meal timings were significantly different.
Morning types consumed most of their energy, protein, carbohydrates, and fats before 10 a.m., whereas night owls ingested more nutrients after 8 p.m.
This trend was most pronounced among night owls with higher body fat percentages.
Night owls tended to eat less in the morning but compensated by consuming more energy and fats during late-night hours.
Compared to morning types, night owls had lower intakes of various nutrients essential for a healthy diet, including fiber, vitamins A and E, folate, calcium, magnesium, potassium, and iodine.
While night owls consumed less caffeine and alcohol, their overall energy and carbohydrate intake was slightly higher.
Metabolic health assessments indicated these dietary habits were linked to poorer health outcomes.
Evening chronotypes exhibited elevated levels of triglycerides, insulin, glycated hemoglobin, and leptin, alongside lower levels of HDL (the “good” cholesterol) and the appetite-regulating hormone ghrelin.
Correlation analysis further suggested that increased energy intake during the morning was associated with higher HDL cholesterol and lower insulin and glycated hemoglobin levels.
Conversely, higher energy consumption in the evening correlated with elevated triglyceride, insulin, and glycated hemoglobin levels.
“The total energy intake was consistent across both morning and night owls,” the researchers noted.
“However, night owls ate significantly less between 3 a.m. and 9:59 a.m. but consumed more between 8 p.m. and 2:59 a.m., which was the reverse for morning owls.”
“This night-time eating pattern correlates with increased body fat percentage, abdominal fat, and elevated blood sugar and lipid levels.”
“Eating during night hours, when the body is naturally inclined to fast, contributes to food storage rather than consumption, heightening the risk of obesity and associated health issues.”
For more details, refer to the study published on July 7, 2026, in Frontiers in Nutrition.
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Karlian van der Merwe et al. 2026. Associations Between Chronotype and Dietary Intake, Meal Timing, Body Composition, and Metabolic Biomarkers. Frontiers in Nutrition 13; doi: 10.3389/fnut.2026.1862060.
Source: www.sci.news
