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1.
Article | IMSEAR | ID: sea-233849

RÉSUMÉ

Background: Mental health related symptoms are common among the population. Current treatment exhibits serious adverse effects, delayed onset of action and low efficacy. Ashwagandha has a variety of beneficial effects in mental health disorders. We did a comparison of two Ashwagandha brands using a variety of scales for anxiety, depression, stress, and sleep quality. Methods: The study was conducted in 80 patients suffering from mental health related symptoms. Test product used was: Herbochem +91 Ashwagandha 500 mg capsules and control used was: KSM 66 Ashwagandha 600 mg capsules. Results: The reduction in the perceived stress scores and Hamilton depression scale scores at day 30/60 from day 0 was higher in the test group as compared with the control group. The reduction in the Beck抯 anxiety inventory scores at day 30/60/90 from day 0 was higher in the test group as compared with the control group. The increase in the Pittsburgh sleep quality index scores at day 30/60 from day 0 was higher in the test group as compared with the control group. The reduction in the serum cortisol scores at day 30 from day 0 was higher in the test group as compared with the control group. Results showed that, the incidence of adverse events was same in both groups. Conclusions: It is important to note that test product having 500 mg Ashwagandha, showed better efficacy as compared to control product having 100 mg more (600 mg) of Ashwagandha.

2.
Article de Anglais | IMSEAR | ID: sea-177152

RÉSUMÉ

The purpose of this study was to validate a bioelectrical impedance analysis (BIA) equation for prediction of body fat mass (FM) against dual energy Xray absorptiometry (DXA) in healthy Indian adults with large variations in body mass index and age. Healthy subjects (28 males and 85 females) were investigated by two methods: FM was measured by a dual energy Xray absorptiometry and segmental bioelectrical parameters at various frequencies were measured by a commercial segmental multifrequency BIA instrument. Total body parameters were derived from segmental bioelectrical parameters. As correlation was high and prediction error was low, a single equation was developed for FM as follows: FM = 15.45 + [0.0074 × (Rbody250)] - (3.89 × sex); men = 1, women = 0) + (0.844 × w) - [6938 × (h2/Zbody50)] - (22.22 × h) + [3 × (Xbody250 - Xbody5)/age)] + [1.53 × (Φbody5)] - [0.126 × (Xbody50/h)]. Fat mass predicted with dual energy Xray absorptiometry was 28.11 ± 9.30 kg. BIApredicted FM was 28.12 ± 9.11 kg (R = 0.9794, adjusted R2 = 0.9561, standard error of estimate = 1.95 kg, total error = 1.87 kg). In conclusion, the new developed BIA equation was valid for prediction of FM in healthy subjects aged 23 to 81 years with body mass indices between 15.62 and 39.98 kg.m-2. Inclusion of reactance in the kg.m-2 single prediction equation appeared to be essential for use of BIA equation in adults with large variations in body mass and age.

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