24 research outputs found
The association between alcohol exposure and self-reported health status: The effect of separating former and current drinkers
Aims: To investigate the direction and degree of potential bias introduced to analyses of drinking and health status which exclude former drinkers from exposure groups. Design: Pooled analysis of 14 waves (1997–2010) of the U.S. National Health Interview Survey (NHIS). Setting: General population-based study. Participants: 404,462 participants, from 14 waves of the NHIS, who had known self-reported health status and alcohol consumption status. Measurements: Self-reported health status was used as the indicator of health. Two approaches were used to classify alcohol consumption: (i) separation of former drinkers and current drinkers, and (ii) combined former and current drinkers. The prevalence of fair/ poor health by alcohol use, gender and age with 95% confidence intervals was estimated. The difference in prevalence of fair/ poor health status for lifetime abstainers, former drinkers, current drinkers and drinkers (former drinkers and current drinkers combined) were compared using Poisson regression with robust estimations of variance. Findings: Excluding former drinkers from drinker groups exaggerates the difference in health status between abstainers and drinkers, especially for males. Conclusions: In cohort study analyses, former drinkers should be assigned to a drinking category based on their previous alcohol consumption patterns and not treated as a discrete exposure group
Is there a relationship between severity of coronary artery disease and severity of erectile dysfunction?
Adherence to the traditional Mediterranean diet and mortality in subjects with diabetes. Prospective results from the MOLI-SANI study
Alcohol volume, not drinking frequency, increases plasma high-density lipoprotein sub-class particle concentration
The health status of migrants in Australia: A review
This review summarizes the findings of studies conducted in Australia between 1980 and 2008 that focused on the health status of migrants in one or more of Australia’s National Health Priority Areas (NHPAs), identifies gaps in knowledge, and suggests further research directions. Systematic literature searches were performed on CINAHL, MediText, PsycINFO, and MEDLINE. It was found that the majority of migrants enjoy better health than the Australian-born population in the conditions that are part of the NHPAs, with the exception of diabetes. Mediterranean migrants have particularly favorable health outcomes. The migrant health advantage appears to deteriorate with increasing duration of residence. Many of the analyzed studies were conducted more than 10 years ago or had a narrow focus. Little is known about the health status of migrants with respect to a number of NHPAs, including musculoskeletal conditions and asthma.The health status of recently arrived migrant groups from the Middle East and Africa has not been explored in detail.Olga Anikeeva, Peng Bi, Janet E. Hiller, Philip Ryan, David Roder and Gil-Soo Ha
Quality of diet, screened by the Mediterranean diet quality index and the evaluation of the content of advanced glycation endproducts, in a population of high school students from Emilia Romagna
The mediating role of dietary factors and leisure time physical activity on socioeconomic inequalities in body mass index among Australian adults
Vegetable-rich food pattern is related to obesity in China
Objective: To investigate the association between a vegetable-rich food pattern and obesity among Chinese adults. Design: A food pattern rich in vegetables is associated with lower risk of obesity and non-communicable chronic disease in Western countries. A similar food pattern is found in the Chinese population but the cooking method is different. A crosssectional household survey of 2849 men and women aged 20 years and over was undertaken in 2002 in Jiangsu Province (response rate, 89.0%). Food intake was assessed by food frequency questionnaire. Factor analysis was used to identify food patterns. Nutrient intake was measured by food weighing plus consecutive individual 3-day food records. Height, weight and waist circumference were measured. Results: The prevalence of general obesity (BMI X28 kgm_2) was 8.0% in men and 12.7% in women, central obesity was 19.5% (X90 cm) and 38.2% (X80 cm), respectively. A four-factor solution explained 28.5% of the total variance in food frequency intake. The vegetable-rich food pattern (whole grains, fruits and vegetables) was positively associated with vegetable oil and energy intake. Prevalence of obesity/central obesity increased across the quartiles of vegetable-rich food pattern. After adjusting for sociodemographic factors and four distinct food patterns, the vegetable-rich pattern was independently associated with obesity. Compared with the lowest quartile of vegetable-rich pattern, the highest quartile had higher risk of general obesity (men, prevalence ratio (PR): 1.82, 95% confidence interval (CI): 1.05–3.14; women, PR: 2.25, 95% CI: 1.45–3.49). Conclusion: The vegetable-rich food pattern was associated with higher risk of obesity/central obesity in Chinese adults in both genders. This association can be linked to the high intake of energy due to generous use of oil for stir-frying the vegetables.Z. Shi, X. Hu, B. Yuan, G. Hu, X. Pan, Y. Dai, J. E. Byles and G. Holmboe-Ottese
Major dietary patterns of young and middle aged women : results from a prospective Australian cohort study
Objective: The aim of this study was to assess the major dietary patterns of two age cohorts of women, to determine to the extent to which the dietary patterns differ between the cohorts and to assess whether they vary according to sociodemographic and behavioural characteristics and patterns of nutrient intake.Method: Dietary intake was assessed using an 80-item food frequency questionnaire for women aged 50–55 years (n=10 150; ‘middle age’) in 2001 and aged 25–30 years (n=7371; ‘young’) in 2003, from the Australian Longitudinal Study on Women\u27s Health. Factor analysis using principal component extraction was used to identify dietary patterns, and a pattern score was calculated from the consumption of the food items identified with each dietary pattern. Associations between the dietary pattern scores and sociodemographic and behavioural characteristics and nutrient intakes were investigated using regression analysis.Results: Six dietary patterns were identified and were labelled: cooked vegetables; fruit; Mediterranean-style; processed meat, meat and takeaway; reduced fat dairy; and high-fat and sugar foods. Regression analysis revealed that healthier dietary patterns were significantly associated with other favourable health-related behaviours, higher socioeconomic status and living in urban areas (P-values <0.05).Conclusions: In spite of differences in the level of consumption of individual food items, the similarity in dietary patterns across two generations of women suggests that policies and interventions to improve diet should focus on social and economic factors and general health-related behaviour rather than different age groups.<br /