Exercise During Pregnancy: What Do OB/GYNs Believe and Practice? A Descriptive Analysis.

Introduction: Although regular exercise is recommended during non-complicated pregnancies to promote maternal and fetal/infant health, estimates suggest that only 15% of expectant mothers achieve current exercise recommendations. Although lack of motivation and fear related to potential fetal injury are often cited as reasons for not engaging in regular physical activity/exercise during pregnancy, less is understood about individual attitudes and practice habits of obstetrician and gynecologists (OB/GYNs) regarding exercise recommendations that may influence patient engagement in exercise during pregnancy. Purpose: To describe the attitudes, knowledge, and clinical practice of OB/GYNs regarding exercise during pregnancy. Methods: Surveys were sent via U.S. mail to 950 practicing OB/GYNs identified via publicly available databases. The survey included 11 questions regarding demographic information, exercise physiology knowledge, as well as their attitudes and clinical practice recommendations regarding exercise during pregnancy. Results: One hundred thirty-nine completed surveys were returned (14.6% response rate). Ninety-four percent of physicians surveyed agreed that there are benefits of exercise during pregnancy and/or the benefits of exercise during pregnancy outweigh the risks. Ninety-eight percent of physicians surveyed reported that they (or their medical staff) routinely advise their patients to exercise during pregnancy and 46% reported discussing exercise guidelines related to time, intensity, and type of exercise. Only 13% of physicians surveyed reported taking a semester-long exercise physiology course, yet 27% of physicians surveyed reported developing personalized exercise prescriptions for all (6%) or some (21%) of their patients. Conclusions: Low exercise engagement among expectant mothers does not appear to be due to a lack of guidance or negative views of OB/GYNs regarding exercise during pregnancy.

Low Muscle Strength Thresholds for the Detection of Cardiometabolic Risk in Adolescents.

INTRODUCTION: There is an association between strength and health among adolescents, yet, what remains to be determined is sex-specific cut points for low strength in the detection of risk in this population. The purpose of this study was to determine thresholds of low grip strength in a large cohort (N=1,326) of adolescents. METHODS: All data were collected between 2005 and 2008, and analyzed in 2014-2015. A cardiometabolic risk score (MetScore) was computed from the following components: percent body fat, fasting glucose, blood pressure, plasma triglyceride levels, and high-density lipoprotein cholesterol. A high-risk cardiometabolic phenotype was characterized as ≥75th percentile of the MetScore. Conditional inference tree analyses were used to identify sex-specific, low normalized strength (grip strength/body mass) thresholds and risk categories. RESULTS: Lower strength was independently associated with increased odds of the high-risk cardiometabolic phenotype, such that for every 5% decrement of normalized strength, there were 1.48 and 1.45 increased odds (p<0.001) for boys and girls, even after adjusting for cardiorespiratory fitness and physical activity. Conditional tree analysis revealed a high-risk threshold for boys (≤0.33) and girls (≤0.28), as well as an intermediate threshold (boys, >0.33 and ≤0.45; girls, >0.28 and ≤0.36). CONCLUSIONS: These sex-specific thresholds of low strength can be incorporated into a clinical setting for identifying adolescents that would benefit from lifestyle interventions to improve muscular fitness and reduce cardiometabolic risk.

Strength capacity and cardiometabolic risk clustering in adolescents.

OBJECTIVES: The purpose of this study was to determine the gender-specific independent association between muscular strength and cardiometabolic risk clustering in a large cohort (n = 1421) of children. METHODS: Principal component analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore) from various cardiometabolic risk components: percent body fat (%BF), fasting glucose, blood pressure, plasma triglycerides levels, and HDL-cholesterol. Gender-stratified risk and MetScore were assessed by using general linear models and logistic regression for differences between strength tertiles, as well as independent associations with age, BMI, estimated cardiorespiratory fitness (CRF), physical activity, and muscular strength (normalized for body mass). RESULTS: In both boys (n = 670) and girls (n = 751), there were significant differences in cardiometabolic profiles across strength tertiles, such that stronger adolescents had lower overall risk. Age, BMI, cardiorespiratory fitness, physical activity participation, and strength were all individually correlated with multiple risk components, as well as the overall MetScore. However, in the adjusted model, only BMI (ß = 0.30), physical inactivity (ß = 0.30), and normalized strength capacity (ß = -1.5) emerged as significant (P < .05) predictors of MetScore. %BF was the strongest loading coefficient within the principal component analysis-derived MetScore outcome. CONCLUSIONS: Normalized strength is independently associated with lower cardiometabolic risk in boys and girls. Moreover, %BF was associated with all cardiometabolic risk factors and carried the strongest loading coefficient. These findings bolster the importance of early strength acquisition and healthy body composition in childhood.

Human cadavers Vs. multimedia simulation: A study of student learning in anatomy.

Multimedia and simulation programs are increasingly being used for anatomy instruction, yet it remains unclear how learning with these technologies compares with learning with actual human cadavers. Using a multilevel, quasi-experimental-control design, this study compared the effects of "Anatomy and Physiology Revealed" (APR) multimedia learning system with a traditional undergraduate human cadaver laboratory. APR is a model-based multimedia simulation tool that uses high-resolution pictures to construct a prosected cadaver. APR also provides animations showing the function of specific anatomical structures. Results showed that the human cadaver laboratory offered a significant advantage over the multimedia simulation program on cadaver-based measures of identification and explanatory knowledge. These findings reinforce concerns that incorporating multimedia simulation into anatomy instruction requires careful alignment between learning tasks and performance measures. Findings also imply that additional pedagogical strategies are needed to support transfer from simulated to real-world application of anatomical knowledge.

Principal component analysis reveals gender-specific predictors of cardiometabolic risk in 6th graders.

BACKGROUND: The purpose of this study was to determine the sex-specific pattern of pediatric cardiometabolic risk with principal component analysis, using several biological, behavioral and parental variables in a large cohort (n = 2866) of 6th grade students. METHODS: Cardiometabolic risk components included waist circumference, fasting glucose, blood pressure, plasma triglycerides levels and HDL-cholesterol. Principal components analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore). Stratified risk components and MetScore were analyzed for association with age, body mass index (BMI), cardiorespiratory fitness (CRF), physical activity (PA), and parental factors. RESULTS: In both boys and girls, BMI and CRF were associated with multiple risk components, and overall MetScore. Maternal smoking was associated with multiple risk components in girls and boys, as well as MetScore in boys, even after controlling for children's BMI. Paternal family history of early cardiovascular disease (CVD) and parental age were associated with increased blood pressure and MetScore for girls. Children's PA levels, maternal history of early CVD, and paternal BMI were also indicative for various risk components, but not MetScore. CONCLUSIONS: Several biological and behavioral factors were independently associated with children's cardiometabolic disease risk, and thus represent a unique gender-specific risk profile. These data serve to bolster the independent contribution of CRF, PA, and family-oriented healthy lifestyles for improving children's health.

The 1p13.3 LDL (C)-associated locus shows large effect sizes in young populations.

Genome-wide association studies (GWASs) have identified polymorphic loci associated with coronary artery disease (CAD) risk factors (i.e. serum lipids) in adult populations (42-69 y). We hypothesized that younger populations would show a greater relative genetic component due to fewer confounding variables. We examined the influence of 20 GWAS loci associated with serum lipids and insulin metabolism, in a university student cohort (n = 548; mean age = 24 y), and replicated statistically associated results in a second study cohort of primary school students (n = 810, mean age = 11.5 y). Nineteen loci showed no relationship with studied risk factors in young adults. However, the ancestral allele of the rs646776 (SORT1) locus was strongly associated with increased LDL (C) in young adults [TT: 97.6 ± 1.0 mg/dL (n = 345) versus CT/CC: 87.3 ± 1.0 mg/dL (n = 203); p = 3 × 10(x6)] and children [TT: 94.0 ± 1.3 mg/dL (n = 551) versus CT/CC: 84.7 ± 1.4 mg/dL (n = 259); p = 4 × 10(x6)]. This locus is responsible for 3.6% of population variance in young adults and 2.5% of population variance in children. The effect size of the SORT1 locus is considerably higher in young populations (2.5-4.1%) compared with older subjects (1%).