BackgroundBetaine supplementation has been shown to improve body composition and some metrics of muscular performance in young men; but, whether betaine enhances body composition or performance in female subjects is currently unknown. Therefore, the purpose of this study was to investigate the interaction between resistance training adaptation and chronic betaine supplementation in females.MethodsTwenty-three young women (21.0 ± 1.4 years, 165.9 ± 6.4 cm, 68.6 ± 11.8 kg) without prior structured resistance training experience volunteered for this study. Body composition (BodPod), rectus femoris muscle thickness (B-mode Ultrasound), vertical jump, back squat 1RM and bench press 1RM were assessed pre- and post-training. Following 1 week of familiarization training, subjects were matched for body composition and squat strength, and randomly assigned to either a betaine (2.5 g/day; n = 11) or placebo (n = 12) group that completed 3 sets of 6–7 exercises per day performed to momentary muscular failure. Training was divided into two lower and one upper body training sessions per week performed on non-consecutive days for 8 weeks, and weekly volume load was used to analyze work capacity.ResultsSignificant main effects of time were found for changes in lean mass (2.4 ± 1.8 kg), muscle thickness (0.13 ± 0.08 cm), vertical jump (1.8 ± 1.6 cm), squat 1RM (39.8 ± 14.0 kg), and bench press 1 RM (9.1 ± 7.3 kg); however, there were no significant interactions. A trend (p = .056) was found for greater weekly training volumes for betaine versus placebo. Significant interactions were found for changes in body fat percentage and fat mass: body fat percentage and fat mass decreased significantly more in betaine (− 3.3 ± 1.7%; − 2.0 ± 1.1 kg) compared to placebo (− 1.7 ± 1.6%; − 0.8 ± 1.3 kg), respectively.ConclusionsThe results of this study indicated that betaine supplementation may enhance reductions in fat mass, but not absolute strength, that accompany a resistance training program in untrained collegiate females.

African Americans have higher rates of mortality than whites who are the same age and sex. We hypothesize that in low socioeconomic status neighborhoods, having health insurance coverage and a regular health care provider increases the likelihood of receiving diagnostic tests for cardiovascular disease and diabetes. We use data from a random two-stage cluster sample of 230 adults living in high poverty census tracts to examine the effects of insurance coverage and having a regular doctor on the likelihood receiving diagnostic tests for high cholesterol, high blood sugar, and blood pressure. We find that health insurance coverage increases the odds of having a regular health care provider (p < 0.05) and of receiving the diagnostic tests (p < 0.05). Having a regular doctor mediates the effect of insurance coverage on the likelihood of receiving the tests, especially when the participant can report the physician's name.

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