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This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

EV0581

Differential associations of fruit consumption forms with mental health, energy regulation, and sleep quality

DIFFERENTIAL ASSOCIATIONS OF FRUIT FORMS WITH MENTAL HEALTH, ENERGY REGULATION, AND SLEEP QUALITY

The form in which fruit was consumed showed differential associations with mental health, energy, and sleep outcomes; smoothie consumers had the most favorable profile, while fruit juice consumers and those with low fruit intake had the least favorable profiles.

The study aimed to assess the associations of four forms of fruit consumption (whole fruit, fruit juice, smoothies, or low intake) with mental health trajectories, energy regulation, and sleep measures. In this cross-sectional analytical survey of N = 443 participants, participants were divided into four groups based on their predominant form of fruit consumption; psychological distress, subjective sleep quality indicators, daily energy regulation, cardiometabolic markers, and frequency of healthcare utilization were measured. Smoothie consumers showed the most favorable overall profile; the lowest rate of psychological distress, highest daytime energy, best sleep quality, and lowest cardiometabolic risk were reported in this group. Whole-fruit consumers showed similar physiological and mood benefits, although these findings were less pronounced than in the smoothie group. Fruit juice consumers had significantly worse outcomes, notably fragmented sleep, low daily energy, higher body mass index, and a greater psychological burden. Participants with low fruit intake had the least favorable lifestyle profile and the lowest scores for psychiatric well-being. The poster proposes a mechanistic pathway explaining these differences through the effects of fiber retention and the rate of nutrient release on glycemic fluctuations, energy regulation, and mood-related networks. In conclusion, it recommends that dietary advice take the food matrix into account rather than rely on generalized targets; the poster reported no numerical results, p-values, or effect sizes.

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