Volume 7, Issue 1 845035 pp. 577-583
Open Access

A Prospective Longitudinal Study of Seasonality in African Students Living in the Greater Washington, D.C. Metropolitan Area

Alvaro Guzman

Alvaro Guzman

Mood and Anxiety Program Department of Psychiatry University of Maryland MSTF Building, Room 502, 685 West Baltimore Street, Baltimore, MD 21201, USA , umaryland.edu

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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Ryszard Zebrak

Ryszard Zebrak

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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Kelly J. Rohan

Kelly J. Rohan

Psychology Department University of Vermont John Dewey Hall 2 Colchester Avenue, Burlington, VT 05405-0134, USA , uvm.edu

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Irshad A. Sumar

Irshad A. Sumar

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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Svetlana Savchenko

Svetlana Savchenko

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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John W. Stiller

John W. Stiller

Mood and Anxiety Program Department of Psychiatry University of Maryland MSTF Building, Room 502, 685 West Baltimore Street, Baltimore, MD 21201, USA , umaryland.edu

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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Adela Valadez-Meltzer

Adela Valadez-Meltzer

Springfield Hospital Center Sykesville Road, Sykesville, MD 21784, USA

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Cara Olsen

Cara Olsen

Department of Preventive Medicine and Biometrics Uniform Services University of the Health Services 4301 Jones Bridge Road, Bethesda, MD, USA , usuhs.mil

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Manana Lapidus

Manana Lapidus

Mood and Anxiety Program Department of Psychiatry University of Maryland MSTF Building, Room 502, 685 West Baltimore Street, Baltimore, MD 21201, USA , umaryland.edu

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Joseph J. Soriano

Joseph J. Soriano

Mood and Anxiety Program Department of Psychiatry University of Maryland MSTF Building, Room 502, 685 West Baltimore Street, Baltimore, MD 21201, USA , umaryland.edu

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Teodor T. Postolache

Corresponding Author

Teodor T. Postolache

Mood and Anxiety Program Department of Psychiatry University of Maryland MSTF Building, Room 502, 685 West Baltimore Street, Baltimore, MD 21201, USA , umaryland.edu

Residency Training Program St. Elizabeths Hospital 2700 Martin Luther King Avenue, Washington, D.C. 20032, USA

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Academic Editor: Joav Merrick

Abstract

We conducted a prospective, longitudinal study of seasonality in a vulnerable population, i.e., African students who migrated to a temperate climate. Consistent with previous cross-sectional studies, we hypothesized lower mood and energy, and higher appetite and weight, in fall/winter than in spring/summer. Four cohorts of African students attending a year-long nursing school program without vacation in Washington, D.C., were assessed monthly for 1 year. Forty-three subjects (mean age = 33.46 ± 6.25), consisting of predominantly females (76.7%), completed the study. The cohorts began their academic program in different seasons (one each in winter, spring, summer, and fall), inherently minimizing confounding influences on seasonality, such as academic and immigration stress, as well as allowing adjustment for an order effect. At each assessment, students completed three 100-mm visual analog scales for mood, energy, and appetite, and were weighed on a digital scale. For each standardized dependent variable, a repeated measure ANOVA was used and, if a significant effect of month was identified, averages for spring/summer and fall/winter were compared using paired ttests. In addition, a mixed model for repeated measures was applied to raw (nonstandardized) data. Body weight was significantly higher in fall/winter than in spring/summer (p < 0.01). No seasonal differences in mood, energy, or appetite were found. Benefiting from certain unique features of our cohorts allowing adjustment for order effects, this is the first study to identify a seasonal variation in body weight with a peak in winter using longitudinal monthly measurements.

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