Musculoskeletal Effects of Pregnancy on the Lower Extremity

2017 ◽  
Vol 107 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Derek S. Anselmo ◽  
Ebony Love ◽  
Dana N. Tango ◽  
Lesly Robinson

Pregnant women are often burdened with musculoskeletal symptoms of the lower extremity due to the physical, hormonal, and anatomical changes that occur throughout pregnancy. These symptoms are associated with musculoskeletal dysfunctions, modified gait, joint laxity, muscle imbalance, and increased body mass. This article reviews the literature involving the lower-extremity changes experienced by women during pregnancy and their respective pathophysiologic causes.

2018 ◽  
Author(s):  
George Simeakis ◽  
Evangelia Vogiatzi ◽  
Panagiota Konstantakou ◽  
Evangelia Zapanti ◽  
Katerina Saltiki ◽  
...  

2016 ◽  
Vol 41 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Alexandra P Frost ◽  
Tracy Norman Giest ◽  
Allison A Ruta ◽  
Teresa K Snow ◽  
Mindy Millard-Stafford

Background: Body composition is important for health screening, but appropriate methods for unilateral lower extremity amputees have not been validated. Objectives: To compare body mass index adjusted using Amputee Coalition equations (body mass index–Amputee Coalition) to dual-energy X-ray absorptiometry in unilateral lower limb amputees. Study design: Cross-sectional, experimental. Methods: Thirty-eight men and women with lower limb amputations (transfemoral, transtibial, hip disarticulation, Symes) participated. Body mass index (mass/height2) was compared to body mass index corrected for limb loss (body mass index–Amputee Coalition). Accuracy of classification and extrapolation of percent body fat with body mass index was compared to dual-energy X-ray absorptiometry. Results: Body mass index–Amputee Coalition increased body mass index (by ~ 1.1 kg/m2) but underestimated and mis-classified 60% of obese and overestimated 100% of lean individuals according to dual-energy X-ray absorptiometry. Estimated mean percent body fat (95% confidence interval) from body mass index–Amputee Coalition (28.3% (24.9%, 31.7%)) was similar to dual-energy X-ray absorptiometry percent body fat (29.5% (25.2%, 33.7%)) but both were significantly higher ( p < 0.05) than percent body fat estimated from uncorrected body mass index (23.6% (20.4%, 26.8%)). However, total errors for body mass index and body mass index–Amputee Coalition converted to percent body fat were unacceptably large (standard error of the estimate = 6.8%, 6.2% body fat) and the discrepancy between both methods and dual-energy X-ray absorptiometry was inversely related ( r = −0.59 and r = −0.66, p < 0.05) to the individual’s level of body fatness. Conclusions: Body mass index (despite correction) underestimates health risk for obese patients and overestimates lean, muscular individuals with lower limb amputation. Clinical relevance Clinical recommendations for an ideal body mass based on body mass index–Amputee Coalition should not be relied upon in lower extremity amputees. This is of particular concern for obese lower extremity amputees whose health risk might be significantly underestimated based on body mass index despite a “correction” formula for limb loss.


2021 ◽  
pp. 50-54

Objective: In our study, the results of oral glucose tolerance test (OGTT) and other hemogram parameters of pregnant women with and without gestational diabetes mellitus (GDM) were compared. The aim of our study is to investigate the benefit of these parameters in predicting GDM risk. Material and Method: The study was planned as a descriptive, retrospective and cross-sectional study. It was included 218 pregnant women who applied to the Gynecology and Obstetrics Clinic of Amasya Sabuncuoğlu Şerefeddin Training and Research Hospital between January 01, 2019 and January 31, 2020. It was examined complete blood count parameters, ultrasound findings, complete urinalysis, first trimester blood glucose, body mass index, age, and gravide parameters the patients we included in the study. The results were analyzed retrospectively and was evaluated the statistical significance relationship with gestational diabetes. Results: There was no statistically significant difference in age, body mass index (BMI), obesity status and number of gravida between the pregnant women who were examined and those without GDM (p> 0.05). The hemoglobin, platelet count, mean platelet volume (MPV), mean corpuscular volume (MCV), mean corpuscular hemoglobine (MCH), and mean corpuscular hemoglobin concentration (MCHC) values, and neutrophil, lymphocyte, monocyte and basophil counts, urine density and femur length were statistically significant. There was no difference (p> 0.05). No statistically significant difference was found in terms of neutrophile lymphocyte ratio (NLR), neutrophile monocyte ratio (NMR), platelet lymphocyte ratio (PLR), monocyte eosinophil ratio (MER), platelet MPV ratio (PMPVR), and platelet neutrophile ratio (PNR) values (p> 0.05) Conclusion: HbA1c, hematocrit and blood glucose in the first trimester may be predictors of GDM. In addition, we think that further studies are needed in a prospective design in more patients in terms of others parameters.


2021 ◽  
Vol 21 (4) ◽  
pp. 75
Author(s):  
L.V. Gureeva ◽  
O.M. Chistyakova ◽  
L.Yu. Grebenshchikova ◽  
S.V. Kolbasnikov ◽  
O.V. Rad´kov

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