171 resultados para ETHNIC GROUP AND HEALTH

em Deakin Research Online - Australia


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The Cochrane Collaboration is an international non-profit organisation that aims to produce high quality systematic reviews of the effectiveness of health interventions. This work is conducted by 51 Review Groups that span a  range of topics (e.g. pregnancy and childbirth, HIV/AIDS). The role of Fields within the Collaboration has been to actively engage relevant stakeholders internationally to improve the quality and relevance of reviews. Since the inception in 1996 of the Cochrane Public Health and Health Promotion Field, the Cochrane Collaboration has begun to embrace reviews related to public health and health promotion and is adapting to the changing needs of end-users. The introduction of a Cochrane health promotion and public health review group will help ensure that reviews will be oriented towards building evidence for equity and reducing inequalities and best meet the needs of decision-makers, practitioners and consumers. Our role as a Field has led to us working with a range of partners including reviewers,  researchers, practitioners and consumers. Knowledge synthesis, translation and exchange (KST&E) has emerged as an issue in need of further  exploration for practice to influence decision-makers and for policy to  influence practitioners. 2007 will be an exciting year for evidence-informed Health Promotion and Public Health (HPPH) both within the Cochrane Collaboration and for our partners in policy, practice and research.

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Objective
Ethnicity influences health in many ways. For example, type 2 
diabetes (T2DM) is disproportionately prevalent among certain ethnic groups. Assessing ethnicity is difficult, and numerous proxy measures are used to capture its various components. Australian guidelines specify a set of variables for measuring ethnicity, and how such parameters should be categorised. Using T2DM data collections as an illustrative example, this study sought to examine how ethnicity is measured in Australian health databases and, by comparing current practice with Australia’s existing benchmark recommendations, to identify potential areas for improvement of the health data landscape.


Design
We identified databases containing information from which ethnic group-specific estimates of T2DM burden may be gleaned. For each database, details regarding ethnicity variables were extracted, and compared with the Australian guidelines. 

Results

Data collection instruments for 32 relevant databases were reviewed. Birthplace was recorded in 27 databases (84%), but mode of birthplace assessment varied. Indigenous status was commonly recorded (78%, n=25), but only nine databases recorded other aspects of self-perceived race/ethnicity. Of 28 survey/audit databases, 14 accommodated linguistic preferences other than English, and 11 either excluded non-English speakers or those for whom a translator was not available, or only offered questionnaires in English.

Conclusions

Considerable variation exists in the measurement of ethnicity in Australian health data- sets. While various markers of ethnicity provide complementary information about the ethnic profile within a data-set, nonuniform measurement renders comparison between data-sets difficult. A standardised approach is necessary, and identifying the ethnicity variables that are particularly relevant to the health sector is warranted. Including self identified ethnicity in Australia’s set of recommended indicators and as a core component of the national census should be considered. Globalisation and increasing migration mean that these findings have implications internationally, including for multi-ethnic countries throughout North America and Europe.

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Purpose – Aims to investigate the relationships between consumers' food concerns and their personal values and demographic characteristics.

Design/methodology/approach – A questionnaire was administered in a cross sectional random population survey conducted among a sample of 1,000 adults in South Australia. The questionnaire elicited information about respondents' concerns about 20 food and health issues, the perceived importance of 23 values items derived from the Schwartz values inventory, and their demographic characteristics.

Findings –
Principal components analyses derived four food concerns factors and six personal values factors. Respondents' safety concerns scores were positively associated with devout-tradition, order-discipline, and moderate-independent values. Their disease concerns score was positively linked to beauty-nature, devout-tradition, and order-discipline. Multiple regression and chi-square automatic interaction detection (CHAID) analyses showed that individual values items were strong predictors of consumers; specific concerns such as food and heart disease, and, genetic modification of foods.

Research limitations/implications – The research was based on a cross sectional study. More refined indices of food concerns and personal values should be used in replications of this preliminary study.

Practical implications – The findings support the use of psychographic market segmentation approaches in communication programs about food and health issues.

Originality/value – The findings suggest that personal values, may be stronger predictors of consumers' concerns about food and health issues than demographics. They also show that measurement level of values and concerns influence the observed strength of their relationships.

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Objective: To assess the prospective relationship between obesity and health-related quality of life, including a novel assessment of the impact of health-related quality of life on weight gain.

Design and setting:
Longitudinal, national, population-based Australian Diabetes, Obesity and Lifestyle (AusDiab) study, with surveys conducted in 1999/2000 and 2004/2005.

Participants:
A total of 5985 men and women aged 25 years at study entry.

Main outcome measure(s):
At both time points, height, weight and waist circumference were measured and self-report data on health-related quality of life from the SF-36 questionnaire were obtained. Cross-sectional and bi-directional, prospective associations between obesity categories and health-related quality of life were assessed.

Results:
Higher body mass index (BMI) at baseline was associated with deterioration in health-related quality of life over 5 years for seven of the eight health-related quality of life domains in women (all P0.01, with the exception of mental health, P>0.05), and six out of eight in men (all P<0.05, with the exception of role-emotional, P=0.055, and mental health, P>0.05). Each of the quality-of-life domains related to mental health as well as the mental component summary were inversely associated with BMI change (all P<0.0001 for women and P0.01 for men), with the exception of vitality, which was significant in women only (P=0.008). For the physical domains, change in BMI was inversely associated with baseline general health in women only (P=0.023).

Conclusions:
Obesity was associated with a deterioration in health-related quality of life (including both physical and mental health domains) in this cohort of Australian adults followed over 5 years. Health-related quality of life was also a predictor of weight gain over 5 years, indicating a bi-directional association between obesity and health-related quality of life. The identification of those with poor health-related quality of life may be important in assessing the risk of future weight gain, and a focus on health-related quality of life may be beneficial in weight management strategies.

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The integration and adoption of eHealth systems within the health sector faces challenges. As health care practitioners are the end users of eHealth systems, their perceptions of these systems are critical in order to address the issues surrounding their implementation and application. This paper presents the views that a group of health care professionals hold regarding the eHealth systems that they use as part of their day to day work. These views were analysed according to the perceptions of satisfaction and dissatisfaction with eHealth systems that these professionals expressed. They expressed satisfaction with the information consistency, work efficiency, access to information, quality of information, and availability of technical support associated with their systems use. They expressed dissatisfaction with a lack of communication and compatibility between systems, deficiency in terms of system functionality, a lack of system reliability, a lack of initial and ongoing training, and a need to develop workarounds in order to achieve work goals. Overall this research indicates that satisfaction with eHealth systems is a complex issue, and that the negative aspects of system satisfaction need to be addressed and the positive aspects carefully built upon.

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Racial discrimination is increasingly recognised as a determinant of racial and ethnic health inequalities, with growing evidence of strong associations between racial discrimination and adult health outcomes. There is a growing body of literature that considers the effects of racial discrimination on child and youth health. The aim of this paper is to provide a systematic review of studies that examine relationships between reported racial discrimination and child and youth health. We describe the characteristics of 121 studies identified by a comprehensive search strategy, including definitions and measurements of racial discrimination and the nature of reported associations. Most studies were published in the last seven years, used cross-sectional designs and were conducted in the United States with young people aged 12–18 years. African American, Latino/a, and Asian populations were most frequently included in these studies. Of the 461 associations examined in these studies, mental health outcomes (e.g. depression, anxiety) were most commonly reported, with statistically significant associations with racial discrimination found in 76% of outcomes examined. Statistically significant associations were also found for over 50% of associations between racial discrimination and positive mental health (e.g. self esteem, resilience), behaviour problems, wellbeing, and pregnancy/birth outcomes. The field is currently limited by a lack of longitudinal studies, limited psychometrically validated exposure instruments and poor conceptualisation and definition of racial discrimination. There is also a need to investigate the complex and varying pathways by which reported racial discrimination affect child and youth health. Ensuring study quality in this field will allow future research to reveal the complex role that racial discrimination plays as a determinant of child and youth health.

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Objective
To investigate the relationship between excess weight (overweight and obesity) and health-related quality of life (HRQoL) in a sample of secondary school children in Fiji, by gender, age and ethnicity.

Methods
The study comprised 8947 children from forms 3–6 (age 12–18 years) in 18 secondary schools on Viti Levu, the main island of Fiji. Body mass index (BMI) was calculated from measured height and weight, and weight status was classified according to the International Obesity Task Force recommendations. HRQoL was measured by the self-report version of the Pediatric Quality of Life Inventory 4.0.

Results

HRQoL was similar in children with obesity and normal weight. Generally, this was replicated when analyzed separately by gender and ethnicity, but age stratification revealed disparities. In 12–14-year-old children, obesity was associated with better HRQoL, owing to better social and school functioning and well-being, and in 15–18-year olds with poorer HRQoL, owing to worse physical, emotional and social functioning and well-being (Cohen’s d 0.2–0.3). Children with a BMI in the overweight range also reported a slightly lower HRQoL than children with a BMI in the normal weight range, but although statistically significant, the size of this difference was trivial (Cohen’s d <0.2).

Discussion

The results suggest that, overall there is no meaningful negative association between excess weight and HRQoL in secondary school children in Fiji. This is in contradiction to the negative relationship between excess weight and HRQoL shown in studies from other countries and cultures. The assumption that a large body size is associated with a lower quality of life cannot be held universally. Although a generally low HRQoL among children in Fiji may be masking or overriding the potential effect of excess weight on HRQoL, socio-economic and/or socio-cultural factors, may help to explain these relationships.