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Medscape Womens Health. 2000 Sep-Oct;5(5):E2.
Risk factors for osteoporosis: prevalence, change, and association with bone density.

Guthrie JR, Ebeling PR, Dennerstein L, Wark JD.

Melbourne Women's Women's Midlife Health Project, Australia.

OBJECTIVES: To describe the prevalence of risk factors for osteoporosis in a population-based cohort of Australian-born midlife women; determine the effect of these risk factors on premenopausal and early perimenopausal bone mineral density (BMD); and describe changes in risk factors and any effect of these on bone loss. DESIGN: 4-year longitudinal community-based study. BMD of the lumbar spine (LS) and femoral neck (FN) was measured using dual x-ray absorptiometry (DXA). SETTING: Melbourne, Australia PARTICIPANTS: 224 Australian-born women aged 46-56 years MAIN OUTCOME MEASURES: Risk factors for osteoporosis, LS-BMD, FN-BMD, and change in risk factors and BMD. RESULTS: At baseline, 52% reported a calcium intake of less than 800 mg/day and 46% reported a caffeine intake of more than 360 mg/day; 29% exercised less than 1.5 hours/week; 5% had a body mass index (BMI) of less than 20; 14% were current smokers; 23% were past smokers; 10% reported abnormal menstrual histories; and 25% reported a family history of osteoporosis. BMD was positively associated with weight; BMI; and waist, hip, and trunk skin-fold measure (P less than .0005). At 4-year follow-up, there were increases in weight (P less than .0005), waist/hip ratio (P less than. 05), trunk skin-fold measurements (P less than.005), and calcium intake (P less than.05). In women who became late perimenopausal or postmenopausal, bone loss was associated with time in relation to the final menstrual period but not with other variables. CONCLUSIONS: There are multiple risk factors for osteoporosis in this Australian-born population of midlife women, but only anthropometric variables were associated with BMD at baseline. Significant changes during the menopausal transition in anthropometric variables and calcium intake were in the direction that could decrease the risk of osteoporosis but were not found to affect menopausal bone loss.

online pharmacy ref. source: www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11113775&dopt=Abstract

Biomed Chromatogr. 2000 Dec;14(8):505-10.
Proposal of sampling process for collecting human sweat and determination of caffeine concentration in it by using GC/MS.

Tsuda T, Noda S, Kitagawa S, Morishita T.

Department of Applied Chemistry, Nagoya Institute of Technology, Gokiso, Showa, Nagoya 466-8555, Japan. takach.nitech.ac.jp

Caffeine concentration in human sweat was estimated by measuring separately the amounts of water and caffeine. After washing a finger with tap water for 15 s and waiting 2 min for drying, 70 microL aqueous ethanol solution in a small vial (0.6 mL) was used to sample for several minutes. Then 3 microL of the aliquot was used for GC/MS analysis of caffeine. As a first-order relationship between the sweat amount secreted on the left and right hands was obtained (correlation factor 0.848), the amount of sweat secretion during sampling on one hand was estimated by the value obtained on the other hand. This new indirect evaluation was used for the estimation of the amount of sweat secreted during sampling. Typical variations of caffeine concentration in sweat were demonstrated. Thirty minutes after the intake of caffeine, it was secreted in sweat, and the secretion had continued for more than 4 h. 2000 John Wiley & Sons, Ltd.

online pharmacy ref. source: www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11113933&dopt=Abstract

Epilepsia. 2000 Dec;41(12):1534-9.
Distribution of seizure precipitants among epilepsy syndromes.

Frucht MM, Quigg M, Schwaner C, Fountain NB.

F. E. Dreifuss Comprehensive Epilepsy Program, Department of Neurology, University of Virginia, Charlottesville, Virginia, USA.

PURPOSE: Previous studies of patient-reported seizure precipitants have not evaluated whether different epilepsy syndromes are differentially affected. METHODS: Patients of a tertiary-care epilepsy center were consecutively surveyed with the use of a standardized questionnaire that lists precipitants that might trigger or exacerbate seizures (alcohol, caffeine, fasting, fatigue, fever or illness, flashing lights, heat or humidity, menstrual cycle, sleep, sleep deprivation, emotional stress, unknown, or other). Patients were classified into epilepsy syndromes according to International League Against Epilepsy criteria. Age and gender within groups defined by major precipitants were compared. Pearson's correlation was performed to evaluate common patterns of precipitants. RESULTS: Of 400 patients, 62% cited at least one precipitant. In order of frequency, stress (30%), sleep deprivation (18%), sleep (14%), fever or illness (14%), and fatigue (13%) were noted by at least 10% of patients. Stress, fatigue, and sleep deprivation positively correlated, but sleep tended to negatively correlate with other major precipitants. Rankings of precipitants varied within epilepsy syndromes, with patients with temporal lobe epilepsy citing sleep infrequently compared with patients with other epilepsy syndromes. Menstrual effects were ranked highly within major precipitants among women over age 12 and were especially noted by women with temporal lobe epilepsy (28%). CONCLUSIONS: Most patients with epilepsy identify a precipitant that triggers or exacerbates seizures. The high correlation of stress, sleep deprivation, and fatigue suggests that they act through common mechanisms to worsen seizure control. Through identification of the effect of both endogenous and exogenous precipitants among syndromes, more research and counseling can be directed to specific precipitants.

online pharmacy ref. source: www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11114210&dopt=Abstract

Beautiful, dense hair is a dream for many people. Hair growth is a sophisticated biological process, which has not yet been understood. A multitude of therapeutic measures, including drugs, surgery, and suppelements have been developed. However, due to the diversity of the problems underlying hair loss, there is no single solution that can address all hair loss cases. Another problem is that most of chemical drugs and hair transplantation surgeries are not free from varying degrees of undesirable side effects on health.

Hair Million is an alternative solution to cope with hair loss problems. Anecdotally, it shows prositive results and improvement especially for age-related hair thinning and hair loss for a large group of people who take it as suggested. Although personal experiences and anecdotal evidences indicate that it works, we still do not understand the mechanisms of action as to how Hair Million works to help stop hair loss, and promote hair growth. There has been no clinical trials nor placebo controlled statistical analysis on the efficacy of Hair Million on hair loss and hair growth. R & D costs dearly, and no one would afford to research complex herbal ingredients, which are often not patentable at all because they are made by mother nature.

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