Jean-Robert Makulo 1, Trésor Tshiswaka Mutombo2, Ramsès Kamitalu Kabongo3, Audace Kilolo Tunda4,
Ernest Kiswaya Sumaili 1, Christian Kisoka Lusunsi2, Beni Beni Kasangwala3, Christian Mulundu Lakwon 3,
Benit Boluta3, Guvanie Lubamba Mubiala3, Tatiana Niangi Mawana3, Diva Mbau Modju Jnr3, Christelle Kimbe Betela3,
Fabien Mbala Kintoki2, Jean-Bosco Kasiam Lasi On’Kin5, Pascal Bayauli Mwasa5, John Ekolo Adiaka6,
Charles Lokangaka Odiko6, Nazaire Mangani Nseka 1, Jean-Marie Ntumba Kayembe 6,7

1Nephrology Unit, Department of Internal Medicine, University Hospital of Kinshasa, Kinshasa, Congo; 2Cardiology Unit, Department of Internal
Medicine, University Hospital of Kinshasa, Kinshasa, Congo; 3Students Health Centre, University of Kinshasa, Kinshasa, Congo; 4Department of
Clinical Biology, University Hospital of Kinshasa, Kinshasa, Congo; 5Endocrinology Unit, Department of Internal Medicine, University Hospital of
Kinshasa, Kinshasa, Congo; 6Administrative Management Committee of the University of Kinshasa, University of Kinshasa, Kinshasa, Congo;
7Pneumology Unit, Department of Internal Medicine, University Hospital of Kinshasa, Kinshasa, Congo

Correspondence: Jean-Marie Ntumba Kayembe, Email jrmakulo2016@gmail.com
Background and Aims: The prevalence of overweight/obesity increases worldwide, including among students. BMI is a commonly used indicator to assess excess fat mass (FM). Our objective was to determine the prevalence of malnutrition (overweight, obesity and underweight) and correlation with FM among Congolese students, and to assess the correlation between BMI and FM measured by bioimpedance.
Methods: Cross-sectional study among students applying for registration at the University of Kinshasa during the 2024–2025 academic year. Underweight, overweight and obesity were defined according to WHO criteria. FM values ≥ percentile 90 were considered as pathological. Student’s T test, Mann Whitney U, Pearson correlation, ROC curves and Youden index were the statistical analyses used, with p < 0.05.
Results: We included 13,381 students (59.7% male; mean age 19.8 ± 3.3 years). The prevalence of overweight and obesity in women (13.4%, 95% CI [12.5–14.3] and 4.6% [4.1–5.2]) was higher than in men (9.0% [8.4–9.6] and 2.2% [1.9–2.5]), p < 0.001. The underweight was also more frequent in women (10.2[9.4–11.0]) than in men (9.0[8.4–9.7]), p = 0.021. Women had a higher percentage of FM (median 23.6%, IQ 25: 15.1% and IQ 75: 30.1%) compared to men (13.8%; 10.4% and 19.4%), p < 0.01. The correlation between FM and BMI (r = 0.414; p < 0.001) was better in women compared to the men (r = 0.318, p < 0.001). The areas under the ROC curves plotted from BMI values and FM cut-offs ≥ percentile 90 (women = 35.8% and men = 26.0%), were 0.9038 in women
(youden index = 0.73) versus 0.5899 in men (youden index = 0.14).
Conclusion: Overweight/obesity and underweight coexist among candidates particularly in women for student recruitment, at the University of Kinshasa, which illustrate the double burden of malnutrition in the academic young population. Using bioimpedance to assess body composition, BMI correlates better with FM in women; the usual thresholds defining overweight and obesity were not valid in men.
Keywords: obesity, fat mass, bioimpedance, correlation, students, DR Congo