Isocaloric And Isoenergetic Diets Case Studies
Author(s), Date of Publication Conceptual Framework Design/Method Sample/Setting Variables Measurement Data- Analysis Findings Appraisal: Worth to Practice
Panico, A. et al., (2014)
Nutritional Therapy & Metabolism, 32(2), 85-92 None Crossover design/ Compare isocaloric and isoenergic diet effect on PCOS 7 patient with PCOS with BMI of greater or equal 28.7/outpatient unit BMI, Insulin level, Glucose Parametric data were evaluated through a 1-way ANOVA. P-Value- Isocaloric and Isoenergetic diet is beneficial to PCOS Strength: Use consistent entry criteria. Weakness: small sample size. Conclusion: This preliminary study confirms the potential benefits of an isocaloric and isoenergetic diet with a …show more content…
Conclusion: PCOS is a disorder becoming more prevalent, promoting health lifestyles and early intervention can prevent future morbidities Khademi, A et al. (2010). Asian Journal of Sports Medicine, 1(1), 35–40. None Cross Sectional
Determination of PCOS prevalence in women who regularly exercise Women 45 and under hx of exercise / Industrial company
BMI Comparison P value Obese subject with PCOS BMI differ than non-PCOS women. More weight loss difficulty for obese women with PCOS to achieve weight loss by exercise Strengths:
Determine that Obesity is a key factor in PCOS
Weaknesses: Unable to differentiate what role hormone play.
• Obese women with PCOS have more difficulty losing weight Ladson, G et al (2010)
Fertility and Sterility, 95(3), 1059–66.e1–7 None Double-Blind Randomized
To determine if caloric restriction and exercise) and metformin (MET) is greater than placebo and lifestyle (PBO) in PCOS Setting: two academic medical centers.
(N = 55), PBO (N = …show more content…
No protocol for labs evaluation and lots of room for bias.
Conclusion: OW girl with PCOS more likely have a family history than NW girls. Association between PCOS and BMI, FAI
Tabassum, R et al., (2013). Pakistan Journal of Medical Sciences Quarterly, 29(2), 593-596
None Observational study. This study aim to estimate insulin resistance prevalence in PCOS 46 cases of PCOS women ages less than 35/conducted at Dow University hospital outpatient in June 2011 to May 2012 FBS, WHR, Acanthosis anthropometric measurement S and HOMA P value Great correlation between waist & hip ratio (R=0.93),waist & WHR positive (R=0.59) waist and FBS (R0.32), and FBS & WHR (R=0.378) Strength: identify that WHR and acanthosis are risk for IR.
Weakness: Small sample size
Conclusion: central obesity, acanthosis, increase WHR & FBS are determinant of IR in