Jacqueline Parsons

Quality of Life in Asthma: A Comparison of Community and Hospital Asthma Patients

This study compares the quality of life of a community sample of people with asthma in South Australia, using population norms, people suffering from other chronic diseases, and a sample of asthma patients from two hospital clinics. A representative population survey was performed by trained interviewers in spring 1995 of 3001 respondents aged ≥15 years. A physicians diagnosis of current asthma was reported by 299 (9.9%). The hospital clinic sample had a physicians diagnosis and lung function evidence of asthma (n = 293). All completed the SF-36 health survey. Standardized SF-36 scores, adjusted for age, sex, and social class, were significantly lower for respondents with asthma, compared with population norms, across all subscales of the SF-36 (p < 0.05). Physical component summary (PCS) and mental component summary (MCS) scores were not significantly different in people in the community sample with asthma from scores in people with diabetes and arthritis. PCS and MCS scores did not differ for those with similar symptom frequency in the community and hospital asthma samples, except that hospital patients with frequent symptoms had significantly lower MCS scores (p < 0.01). Asthma has a major impact on the health-related quality of life in the community, comparable to other chronic diseases. The SF-36 performs uniformly in asthma in different situations.

Food consumption habits in two states of Australia, as measured by a Food Frequency Questionnaire.

BackgroundObesity is an important public health problem in Australia, and monitoring the nutritional intake of the population is an important endeavour. One way to assess food habits is via Food Frequency Questionnaires (FFQ). This pilot study used a routine telephone risk factor surveillance survey to recruit participants in South Australia (SA) and Western Australia (WA) to a postal survey investigating food consumption habits, using a FFQ. Respondents were also asked specific additional questions about their fruit and vegetable consumption and also about their height and weight so that comparisons could be made between the data collected in the risk factor surveillance system and the postal survey.FindingsIn total, 1275 respondents (65% of eligible telephone respondents) completed the postal survey. The results of the FFQ were very similar for WA and SA. Western Australians consumed statistically significantly more serves of vegetables than South Australians (t = 2.69 df = 1245 p <= 0.01), and females consumed statistically significantly more serves of both fruit and vegetables than males (t = 4.51 df = 1249 p <= 0.01 and t = 4.83 df = 1249 p <= 0.01 respectively). Less than 10% of respondents met the daily guidelines for vegetable consumption. Over half of respondents were overweight or obese.ConclusionsAlthough a wide variety of foods were consumed, guidelines for fruit and vegetable consumption were not being met and overweight and obesity continue to be issues in this population.

Using risk factor surveillance as a basis for mixed-methodology research: an example from Australia using food intake and anthropometric measures.

ObjectivesRisk factor surveillance is an integral part of public health, and can provide a ready-made sample for further research. This study assessed the utility of mixed-methodology research using telephone and postal surveys.MethodsAdult respondents to telephone surveys in South Australia and Western Australia were recruited to a postal survey about food consumption, in particular, relating to fruit and vegetables. Responses to the two surveys were compared.ResultsAround 60% of eligible telephone survey respondents participated in the postal survey. There was fair to poor agreement between the results from the two methods for serves of fruit and vegetables consumed. There was excellent agreement between the two methods for self-reported height and weight.ConclusionsThe telephone survey was a useful way to recruit people to the postal survey; this could be due to the high level of trust gained through the telephone interview, or social desirability bias. It is difficult to ascertain why different results on fruit and vegetable intake were obtained, but it may be associated with understanding of the parameters of a ‘serve’, recall bias or the time taken to calculate an answer.