Characteristics of older dietary supplement users: Review of the literature

Published literature reports rates of dietary supplement usage by individuals aged 60 years or more to be 16−60%. Prevalence figures are dependent on the population studied and the method of data collection. In general, older supplement users are female, Caucasian and well educated, with healthier lifestyle practices than non-supplement users, and they are less likely to be overweight or to smoke. Neither income nor self-rated health status are reliable predictors of supplement use in this group. In many cases older supplement users report higher intakes of several micronutrients from food than older non-supplement users. Current patterns of supplement use by the older person reveal that although they consume a range of products, they do not supplement with nutrients that are of particular benefit to them. The supplements most commonly consumed by individuals aged 60 years and over are multivitamins and minerals, vitamin C and vitamin E preparations. There is insufficient data to quantify the dosage, frequency and duration of supplement use by the older population. Obtaining this information and data about herbal medicine use is an important step towards minimising the risk of drug–nutrient–herbal interactions. Identifying the health professionals who monitor the appropriateness and safety of supplement use in older individuals, particularly given the already high use of medication in this population, also needs to be a focus of future utilisation investigations. This systematic review of the literature published between 1982 and 2003 aims to measure the patterns of dietary supplement use by community-living individuals aged 60 years and over and to profile the characteristics of older supplement users.

A Transdiagnostic Approach to Understanding Eating Disorders

Categorical models dominate the eating disorder field, but the tandem use of categorical and dimensional models has been proposed. A transdiagnostic dimensional model, number of lifetime eating disorder behaviors (LEDB), was examined with respect to (1) its relationship to a variety of indicators of the individual's functioning, (2) the degree to which it was influenced by genetic and environmental risk factors, and (3) exposure to specific environmental risk factors. Data from self-report and interview from 1002 female twins (mean age = 34.91 years, SD = 2.09) were examined. While 15.4% women met criteria for a lifetime eating disorder, 29% had at least one LEDB. The dimensional measure provided an indicator of associated functioning, and was influenced primarily by the nonshared environment. The number of LEDB was associated with the degree of impaired functioning. This impairment was associated with conflict between parents and criticism from parents when growing up.

Determination of Cole parameters in multiple frequency bioelectrical impedance analysis using only the measurement of impedances

Conventional bioimpedance spectrometers measure resistance and reactance over a range of frequencies and, by application of a mathematical model for an equivalent circuit (the Cole model), estimate resistance at zero and infinite frequencies. Fitting of the experimental data to the model is accomplished by iterative, nonlinear curve fitting. An alternative fitting method is described that uses only the magnitude of the measured impedances at four selected frequencies. The two methods showed excellent agreement when compared using data obtained both from measurements of equivalent circuits and of humans. These results suggest that operational equivalence to a technically complex, frequency-scanning, phase-sensitive BIS analyser could be achieved from a simple four-frequency, impedance-only analyser.

The spatial pattern of child growth in Papua New Guinea

Child growth in PNG shows strong regional differences, with highlands children being generally shorter but stockier than those from lowland areas. Differences in diet, socioeconomic status and local subsistence agriculture were found to be important predictors of child growth. All variables indicating higher socioeconomic status were correlated with better growth, as was a high consumption of imported and local high quality foods such as cereals, legumes, tinned fish or meat and fresh fish. Differences in subsistence explained between 25% and 50% of the geographical variation in growth. Child growth was better in systems based on cassava and sweet potato, and worse in those where banana, sago and taro are staples. The cultivation of all major cash crops and sales of fish and food crops improved child growth. Birth weights show similar patterns to those observed in child growth. The implications of these findings for possible interventions are discussed.

Food allergy in schools : the importance of government involvement