Critical Appraisal Essay for PUBH6005: Epidemiology Studies Analysis

This assignment is a critical appraisal essay for the PUBH6005 Epidemiology course. The task involves appraising three different research articles based on study designs such as observational, cross-sectional, case-control, and cohort studies. The appraisal requires a detailed analysis of the articles, focusing on the assessment of evidence levels, interpretation of data (rates and ratios), understanding the difference between association and causation, and evaluating potential for bias, confounding, and chance errors. The essay aims to apply the knowledge and skills acquired throughout the course to provide a comprehensive evaluation of the selected epidemiological studies and answer the research question provided by the facilitator. The assignment also necessitates the use of the library database to find relevant studies and present a well-structured critical analysis.

References
Altunoğlu, E. G., Müderrisoğlu, C., Erdenen, F., Ülgen, E., & Memiş, İ. (2015). The
Association between Obesity-Insulin Resistance and Depression-Anxiety: One Center,
Cross-Sectional Study. Istanbul Medical Journal, 16(2).
Jokela, M., Hamer, M., Singh-Manoux, A., Batty, G. D., & Kivimäki, M. (2014). Association
of metabolically healthy obesity with depressive symptoms: pooled analysis of eight
studies. Molecular psychiatry, 19(8), 910.
Lasserre, A. M., Glaus, J., Vandeleur, C. L., Marques-Vidal, P., Vaucher, J., Bastardot, F., ...
& Preisig, M. (2014). Depression with atypical features and increase in obesity, body mass
index, waist circumference, and fat mass: a prospective, population-based study. JAMA
psychiatry, 71(8), 880-888.
Ma, J., Yank, V., Lv, N., Goldhaber-Fiebert, J. D., Lewis, M. A., Kramer, M. K., ... &
Blonstein, A. care: A type 1 hybrid design randomized controlled trial. Contemporary
clinical trials, C. (2015). Research aimed at improving both mood and weight clinical
trials, C. (2015). Research aimed at improving both mood and weight (RAINBOW) in
primary 43, 260-278.
Marcus, G. (2018). Deep learning: A critical appraisal. arXiv preprint arXiv:1801.00631.
Molyneaux, E., Pasupathy, D., Kenny, L. C., McCowan, L. M. E., North, R. A., Dekker, G.
A., ... & SCOPE consortium. (2016). Socio-economic status influences the relationship
between obesity and antenatal depression: data from a prospective cohort study. Journal of
affective disorders, 202, 124-127.
Polanka, B. M., Vrany, E. A., Patel, J., & Stewart, J. C. (2017). Depressive disorder subtypes
as predictors of incident obesity in us adults: moderation by race/ethnicity. American
journal of epidemiology, 185(9), 734-742.

Seidell, J. C., & Halberstadt, J. (2015). The global burden of obesity and the challenges of
prevention. Annals of Nutrition and Metabolism, 66(Suppl. 2), 7-12.