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Biomedical subjects

M Frankel

Publications and source records attributed to M Frankel.

At least 55 records · Page 3Linked to original sources

Anthropometric and physiologic profile of a cyclist -- age 70.

The purpose of this investigation was to gain insight, through measuring various performance, cardiopulmonary, and anthropometric parameters, to the upper functional limits for man in the eighth decade of life. The subject holds age-group record times for 16.1, 40.2, 80.5, and 171.4 km. Remarkable aerobic power was exhibited while cycling on a bicycle ergometer depicted by high values for VO2 max 4.7 1/min (STPD) and 59.9 ml/kg BW-min (STPD), VE 159 1/min (BTPS), O2 pulse 0.36 ml/kg/beat and heart rate max 166 beats/min. VO2 max is the highest value reported for a man over 70 years of age. To provide inference to the aging process and to training, comparisons were made with data from the normal population of similar age and with data from young and endurance athletes. Cardiopulmonary data and body composition measures equalled that for similar age athletes and were comparable to younger endurance athletes. The findings have significant implications in determining upper functional standards for well-trained older males.

Aged↗

Papular (erosive) herpes genitalis. A clinical variant in sarcoid and pregnancy.

A unique papular (erosive) variant of herpes genitalis is described in a patient with sarcoid and in 1 who was pregnant. The occurrence of this unique expression of herpes infection in two conditions associated with immunologic changes seems more than incidental. It is suggested that patients presenting with papular (erosive) herpes genitalis be studied for underlying immune deficiency.

Adult↗

The effect of measurement error on differences in hospital expenditures.

Differences in expenditures for medical care among various subgroups in the population according to age, income, residence, and ethnicity have important public policy implications. However, few efforts have been made to assess the extent to which these apparent differences among subgroups observed in social surveys may be influenced by measurement error. This paper provides a framework for examining the impact of various kinds of error including random error and biases. The framework is applied to data on hospital expenditures from a national survey of health services expenditure which includes in addition to consumer reports, verifying information from hospitals, physicians, and third-party payers who provided services to persons in the sample. Differential error according to demographic and social characteristics is estimated. The impact of such differential error on conclusions about the distribution of health resources is discussed.

Age Factors↗