Home About us Contact
|
Home About us Contact | ||
|
|
||
Behavioural Risk Factors (behavioural + risk_factor)
Selected AbstractsCigarette smoking and periodontal disease among 32-year-olds: a prospective study of a representative birth cohortJOURNAL OF CLINICAL PERIODONTOLOGY, Issue 10 2007W. Murray Thomson Abstract Background: Smoking is recognized as the primary behavioural risk factor for periodontal attachment loss (AL), but confirmatory data from prospective cohort studies are scarce. Aim: To quantify the association between cigarette smoking patterns and AL by age 32. Methods: Periodontal examinations were conducted at ages 26 and 32 in a longstanding prospective study of a birth cohort born in Dunedin (New Zealand) in 1972/1973. Longitudinal categorization of smoking exposure was undertaken using data collected at ages 15, 18, 21, 26 and 32. Results: Complete data were available for 810 individuals of whom 48.9% had ever smoked (31.5% were current smokers). Compared with never-smokers, long-term smokers (and other age-32 smokers) had very high odds ratios (ORs of 7.1 and 5.7, respectively) for having 1 +sites with 5 +mm AL, and were more likely to be incident cases after age 26 (ORs of 5.2 and 3.2, respectively). Two-thirds of new cases after age 26 were attributable to smoking. There were no significant differences in periodontal health between never-smokers and those who had quit smoking after age 26. Conclusions: Current and long-term smoking in young adults is detrimental to periodontal health, but smoking cessation may be associated with a relatively rapid improvement in the periodontium. [source] Overall self-rated health: a new quality indicator for primary careJOURNAL OF EVALUATION IN CLINICAL PRACTICE, Issue 1 2007James E. Rohrer PhD Abstract Rationale, aims and objectives, Patient ,empowerment' gives patients choices about their own care and about the outcomes they would most prefer. Many patients can be presumed to regard overall self-rated health as an important outcome. Therefore, overall self-rated health can be considered a relevant and important outcome measure for a patient-centred medical clinic. The purpose of this study was to use this new outcome measure as a dependent variable and to test the hypothesis that patients who are confident about their ability to manage their health will have better health, in comparison to more dependent patients. Methods, We conducted a randomized cross-sectional postal survey of 500 veteran patients from the Panhandle of Texas and the surrounding areas; and 302 participated in the study. Multiple logistic regression analysis was used to test the hypothesis that health confidence is positively related to self-rated health, controlling for obesity, cigarette smoking and participation in recreational activities. Results, Veterans who strongly disagreed with the statement that they usually could overcome illnesses on their own were less likely to report good, very good or excellent self-rated health (adjusted odds ratio = 0.25). Conclusions, Overall self-rated health as measured by a single question proved to be significantly related to behavioural risk factors in this sample of primary care patients, attesting to its validity as an outcome indicator. Furthermore, health confidence was associated with better health. Most primary providers believe that they can, through good communication and providing self-care tools, increase healthy behaviours in their patients. If we are indeed able to increase health confidence in our patients, this study would suggest that self-rated health would improve. [source] Spousal concordance and reliability of the ,Prudence Score' as a summary of diet and lifestyleAUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 4 2009Sanjoti Parekh Abstract Objectives: This paper describes a composite ,Prudence Score' summarising self-reported behavioural risk factors for non-communicable diseases. If proved robust, the ,Prudence score' might be used widely to encourage large numbers of individuals to adopt and maintain simple, healthy changes in their lifestyle. Methods: We calculated the ,Prudence Score' based on responses collected in late 2006 to a postal questionnaire sent to 225 adult patients aged 25 to 75 years identified from the records of two general medical practices in Brisbane, Australia. Participants completed the behavioural, dietary and lifestyle items in relation to their spouse as well as themselves. The spouse or partner of each addressee completed their own copy of the study questionnaire. Results: Kappa scores for spousal concordance with probands' reports (n = 45 pairs) on diet-related items varied between 0.35 (for vegetable intake) to 0.77 (for usual type of milk consumed). Spousal concordance values for other behaviours were 0.67 (physical activity), 0.82 (alcohol intake) and 1.0 (smoking habits). Kappa scores for test-retest reliability (n = 53) varied between 0.47 (vegetable intake) and 0.98 (smoking habits). Conclusion: The veracity of self-reported data is a challenge for studies of behavioural change. Our results indicate moderate to substantial agreement from life partners regarding individuals' self-reports for most of the behavioural risk items included in the ,Prudence Score'. This increases confidence that key aspects of diet and lifestyle can be assessed by self-report. Implications: The ,Prudence Score' potentially has wide application as a simple and robust tool for health promotion programs. [source] Causes of death classified by risk and condition, New Zealand 1997AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 1 2005Martin Tobias Objective: To classify causes of death in New Zealand by risk factor (in addition to condition) as a planning tool for health promotion. Method: Deaths occurring in New Zealand in 1997 were classified by 20 prevalent risk factors using a combination of categorical attribution (rule-based) and counterfactual modelling (population-attributable risk-based) approaches. Results: Approximately 30% of deaths were attributed to the joint effect of dietary factors. Tobacco consumption was responsible for 18% of deaths and insufficient physical activity for almost 10%. Less important behavioural risk factors included alcohol consumption (3%), illicit drug use (0.5%) and unsafe sex (0.5%). Among biological risk factors, higher than optimal total blood cholesterol, systolic blood pressure and body mass index accounted for 17%, 15% and 12% of deaths respectively. Deprivation contributed to 17% of deaths, and adverse in-hospital events to 6%. Among environmental exposures, microbes accounted for 6.5% of deaths, air pollution 3.5% and occupational diseases and injuries 0.5%. Among injury hazards, risk factors related to road traffic were responsible for 2% of deaths, while violence accounted for 2.5% of deaths, mostly through suicide. Cross-classifying deaths by both condition and risk factor, 90% of ischaemic heart disease and 80% of stroke, but only 30% of cancer deaths, could be attributed to specific risk factors. Conclusions: This is the first comprehensive ranking of causes of death at the level of risk factors available for New Zealand and should prove useful as a planning tool, especially for disease prevention and health promotion. [source] | ||||||||||