Notes

[Mycoplasma genitalium possibly since typical throughout Sweden since Chlamydia trachomatis].
The predicted number of rib fractures, the magnitude of pulmonary contusion, and injury rank, increased with armor BFD, back face velocity, and input energy to the thorax. In 3 of the 10 cases, the model overpredicted the number of rib fractures, attributed to impact location positional sensitivity and limited details from the database. The integration of an HBM with the BABT loading method predicted rib fractures and injury ranks that were in good agreement with available medical records, providing a potential tool for future armor evaluation and injury assessment.
To compare a composite measure of physical function that comprises locomotor and non-locomotor tests (i.e., the Mobility Battery Assessment (MBA)) with traditional measures of mobility (4-m usual gait speed (UGS), six-minute walk (6MW) gait speed, and short physical performance battery (SPPB) score) for assessing lower extremity function and discriminating community dwelling older adults with and without mobility limitations.

Cross-sectional, observational study.

Laboratory-based.

89 community-dwelling older adults (74.9±6.7).

Using principal component analysis we derived an MBA score for 89 community-dwelling older adults, and quantified 4-m UGS, 6MW gait speed, and SPPB score. #link# The MBA score was based on five lab-based tests. We also quantified self-reported lower extremity function/mobility using the Neuro-QOL Lower Extremity Function-Mobility instrument. Based on this data a continuous score was derived and subjects were classified as "mobility limited" or "non-mobility limited". Correlations between the mobility measures and the Neuro-QOL score were calculated, and ROC curves were constructed to determine the AUC for the mobility measures ability to predict mobility limitations.

The MBA had the largest AUC (0.92) for discriminating mobility limitations and exhibited the strongest correlation (0.73) with the Neuro-QOL Lower Extremity Function-Mobility Scale. The worst performing predictors were the 4-meter UGS and stair climb power both with an AUC of 0.8 for discriminating mobility limitations, and a low correlation with Neuro-QOL Lower Extremity Function Scale of 0.39 and 0.46, respectively.

The MBA score moderately improves the magnitude of correlation and discrimination of mobility limitation in older adults than singular, standard tests of mobility.
The MBA score moderately improves the magnitude of correlation and discrimination of mobility limitation in older adults than singular, standard tests of mobility.
Our aim was to determine the association between protein intake (overall and by source) and all-cause and cause-specific mortality among older men.

Prospective cohort study.

5790 ambulatory community-dwelling older men from multicenter Osteoporotic Fractures in Men (MrOS) study.

Total energy and protein intake, and protein intake by source (dairy, non-dairy animal, plant) were assessed using a 69-item food frequency questionnaire. We included up to 10-year follow-up with adjudicated cardiovascular, cancer and other mortality outcomes. We used time-to-event analysis with protein exposures, mortality outcome, and adjusted for possible confounders including age, center, education, race, smoking, alcohol use, physical activity, weight, total energy intake (TEI), and comorbidities. Hazard ratios were expressed per each unit=2.9% TEI decrement for all protein intake variables.

The mean (SD) baseline age of 5790 men was 73.6 (5.8) y. There were 1611 deaths and 211 drop-outs prior to 10 years, and 3868 men .
T0070907 examine if the Gray Matters intervention (education and behavioral self-monitoring app targeting lifestyle risks for Alzheimer's disease [AD]) affected participants' motivation for change and whether high motivation predicts improved diet and physical activity over 6 months.

In this 6-month randomized controlled trial (treatment n=104; control n=42; assessed pre/post intervention) amotivation, external regulation, identified regulation, and intrinsic motivation were assessed via the Situational Motivation Scale (SIMS). Diet quality was assessed via adherence to the DASH diet, and physical activity was assessed in minutes.

Eligibility criteria included not having significant cognitive impairment. Participants were aged 39-64 (M = 54.17, SD = 6.9), 66% female, 81% married, 90% White, and 80% had a college degree.

Treatment included an activity tracker, Gray Matters app, access to booster sessions, contact with a student health coach, and study website.

Participants were in the general community.

Independent samples t-tests determined that intrinsic motivation (IM) increased significantly for the treatment group (M = 2.09 SD = 4.82), compared to the control group (M = 1.00 SD = 5.52; t (130) = -3.04, p = .003). Comparing subgroups of people with High vs Low IM we found that High IM males increased vigorous physical activity more than Lower IM males (F(1,42)=5.053, p=.030). Comparing persons aged 58-64 years with High vs Lower IM, High IM persons had less improvement in diet quality F(1,48)=4.538; p=0.038).

RCT results support that the Gray Matters AD-focused intervention increased IM, and IM was associated with improved physical activity and diet quality for some subgroups.
RCT results support that the Gray Matters AD-focused intervention increased IM, and IM was associated with improved physical activity and diet quality for some subgroups.
To examine the association between gait speed and incident stroke and compare the predictive value between four gait speed assessments (6-meter, 20-meter, 2-min, and 400-meter).

Prospective cohort study.

1,779 older adults from the Health, Aging and Body Composition study. All participants had no history of cardiovascular or cerebrovascular disease at baseline.

We used Cox proportional hazards regression model to identify the relationship between each of four gait speed assessment and incident stroke. We used the c-statistic, Akaike information criterion (AIC), and Bayesian information criterion (BIC) to compare the predictive validity between four measures.

176 (9.9%) had incident stroke during an average 10.3-year follow-up. After multivariable adjustment, hazard ratio of incident stroke was 0.89 (95% CI 0.82-0.97), 0.90 (95%CI 0.82-0.98), 0.88 (95% CI 0.80-0.97), and 0.86 (95% CI 0.78-0.95) for 6-meter, 20-meter, 2-min, and 400-meter test, respectively. We found only negligible difference in the c-statistic between four gait speed assessments (range 0.
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