James A Dunbar
Biographic Data
| ID | 1742151 |
|---|---|
| NAME | James A Dunbar |
| GIVEN NAMES | James A |
| FAMILY NAME | Dunbar |
| SIGNATURE | DUNBAR J A |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Association of weight misperception with weight loss in a diabetes prevention program
Weight misperception should be acknowledged as a factor to be addressed when screening and identifying individuals at risk for diabetes. Screening and giving feedback is important in terms of awareness of participants' actual weight status and may have an effect on program outcomes
Type 2 diabetes prevalence varies by socio-economic status within and between migrant groups: Analysis and implications for Australia
Large socio-cultural differences exist in the distribution of T2DM. Across all socio-economic strata, all migrant groups have higher prevalence of T2DM than the Australian-born population. With increasing migration, this health gap potentially has implications for health service planning and delivery, policy and preventive efforts in Australia
Occupational differences, cardiovascular risk factors and lifestyle habits in South Eastern rural Australia
Previous studies have suggested that farmers have higher risks of cardiovascular disease but this is because the risk has been compared with non-rural populations. In this study, the comparison has been made with other rural occupations. Cardiovascular risk reduction programs are justified for all. Programs tailored only for agricultural workers are unwarranted
The potential for measuring ethnicity and health in a multicultural milieu – the case of type 2 diabetes in Australia
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, non-uniform 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 e…
Recruitment into diabetes prevention programs: What is the impact of errors in self-reported measures of obesity
Overall FINDRISC was found to be an effective tool to screen and recruit participants at moderate to high risk of diabetes, accurately categorising levels of overweight and obesity using self-report data. The results could be generalisable to other diabetes prevention programs using screening tools which include self-reported levels of obesity
The association of levels of physical activity with metabolic syndrome in rural Australian adults
Some PA is better than none if adults, particularly women, are to reduce their risk of metabolic syndrome and associated vascular diseases. Specialised interventions that take rurality into consideration are recommended for adults who are inactive
Prevention of Type 2 Diabetes by lifestyle intervention in an Australian primary health care setting: Greater Green Triangle (GGT) Diabetes Prevention Project
This study provides evidence that a type 2 diabetes prevention programme using lifestyle intervention is feasible in primary health care settings, with reductions in risk factors approaching those observed in clinical trials
Rapid prescribing change, how do patients respond
Rapid prescribing change, how do patients respond
The potential for measuring ethnicity and health in a multicultural milieu – the case of type 2 diabetes in Australia
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, non-uniform 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 e…
Rapid prescribing change, how do patients respond
Prevention of Type 2 Diabetes by lifestyle intervention in an Australian primary health care setting: Greater Green Triangle (GGT) Diabetes Prevention Project
This study provides evidence that a type 2 diabetes prevention programme using lifestyle intervention is feasible in primary health care settings, with reductions in risk factors approaching those observed in clinical trials
The association of levels of physical activity with metabolic syndrome in rural Australian adults
Some PA is better than none if adults, particularly women, are to reduce their risk of metabolic syndrome and associated vascular diseases. Specialised interventions that take rurality into consideration are recommended for adults who are inactive
Recruitment into diabetes prevention programs: What is the impact of errors in self-reported measures of obesity
Overall FINDRISC was found to be an effective tool to screen and recruit participants at moderate to high risk of diabetes, accurately categorising levels of overweight and obesity using self-report data. The results could be generalisable to other diabetes prevention programs using screening tools which include self-reported levels of obesity
Type 2 diabetes prevalence varies by socio-economic status within and between migrant groups: Analysis and implications for Australia
Large socio-cultural differences exist in the distribution of T2DM. Across all socio-economic strata, all migrant groups have higher prevalence of T2DM than the Australian-born population. With increasing migration, this health gap potentially has implications for health service planning and delivery, policy and preventive efforts in Australia
Occupational differences, cardiovascular risk factors and lifestyle habits in South Eastern rural Australia
Previous studies have suggested that farmers have higher risks of cardiovascular disease but this is because the risk has been compared with non-rural populations. In this study, the comparison has been made with other rural occupations. Cardiovascular risk reduction programs are justified for all. Programs tailored only for agricultural workers are unwarranted
The potential for measuring ethnicity and health in a multicultural milieu – the case of type 2 diabetes in Australia
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, non-uniform 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 e…
Association of weight misperception with weight loss in a diabetes prevention program
Weight misperception should be acknowledged as a factor to be addressed when screening and identifying individuals at risk for diabetes. Screening and giving feedback is important in terms of awareness of participants' actual weight status and may have an effect on program outcomes
Medicine (8 works) · Biostatistics (6 works) · Environmental health (6 works) · Epidemiology (6 works) · Gerontology (6 works) · Demography (5 works) · Demography (5 works) · Diabetes mellitus (5 works) · Internal Medicine (5 works) · Endocrinology (4 works)