Dataset Information

Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study.

ABSTRACT: Little is known regarding the health and lifestyle behaviours of Australians of Lebanese ethnicity. The available evidence suggests that Australians of Lebanese ethnicity who were born in Lebanon reportedly have higher rates of cardiovascular disease-related and type 2 diabetes-related complications when compared with the wider Australian population. The aim of this study is to compare lifestyle behaviours of middle-aged to older adults of Lebanese ethnicity born in Lebanon, Australia, and elsewhere to those of Australian ethnicity. Participants were 37,419 Australians aged ?45 years, from the baseline dataset of The 45 and Up Study which included 4 groups of interest: those of Australian ethnicity (n = 36,707) [Reference]; those of Lebanese ethnicity born in Lebanon (n = 346); 302 those of Lebanese ethnicity born in Australia (n = 302); and those of Lebanese ethnicity born elsewhere (n = 64). Multilevel logistic regression was used to examine the odds of those of Lebanese ethnicity reporting suboptimal lifestyle behaviours (insufficient physical activity, prolonged sitting, smoking, sleep duration, and various diet-related behaviours) relative to those of Australian ethnicity. Multilevel linear regression was used to examine the clustering of suboptimal lifestyle behaviours through a 'lifestyle index' score ranging from 0-9 (sum of all lifestyle behaviours for each subject). The lifestyle index score was lower among Lebanese-born (-0.36, 95% CI -0.51, -0.22, p<0.001) and Australian-born (-0.17, 95% CI -0.32, -0.02, p = 0.031) people of Lebanese ethnicity in comparison to those of Australian ethnicity. Those of Lebanese ethnicity born in Lebanon had higher odds of reporting suboptimal lifestyle behaviours for physical activity, smoking, and sleep duration, and lower odds of reporting optimal lifestyle behaviours for sitting time, fruit, processed meat, and alcohol consumption, when compared with those of Australian ethnicity. Differences in the individual lifestyle behaviours for those of Lebanese ethnicity born in Australia and elsewhere compared with those of Australian ethnicity were fewer. Lifestyle behaviours of those of Lebanese ethnicity vary by country of birth and a lower level of suboptimal lifestyle behaviour clustering was apparent among Lebanese-born and Australian-born middle-aged to older adults of Lebanese ethnicity.

SUBMITTER: El Masri A

PROVIDER: S-EPMC5509310 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study.

El Masri Aymen A Kolt Gregory S GS Astell-Burt Thomas T George Emma S ES

PloS one 20170713 7

Little is known regarding the health and lifestyle behaviours of Australians of Lebanese ethnicity. The available evidence suggests that Australians of Lebanese ethnicity who were born in Lebanon reportedly have higher rates of cardiovascular disease-related and type 2 diabetes-related complications when compared with the wider Australian population. The aim of this study is to compare lifestyle behaviours of middle-aged to older adults of Lebanese ethnicity born in Lebanon, Australia, and elsew ...[more]

PMID: 28704508

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Project description:BackgroundPhysical activity and sitting time independently contribute to chronic disease risk, though little work has focused on aspirational health outcomes. The purpose of this study was to examine associations between physical activity, sitting time, and excellent overall health (ExH) and quality of life (ExQoL) in Australian adults.MethodsThe 45 and Up Study is a large Australian prospective cohort study (n = 267,153). Present analyses are from 194,545 participants (48% male; mean age = 61.6 ± 10.7 yrs) with complete baseline questionnaire data on exposures, outcomes, and potential confounders (age, income, education, smoking, marital status, weight status, sex, residential remoteness and economic advantage, functional limitation and chronic disease). The Active Australia survey was used to assess walking, moderate, and vigorous physical activity. Sitting time was determined by asking participants to indicate number of hours per day usually spent sitting. Participants reported overall health and quality of life, using a five-point scale (excellent-poor). Binary logistic regression models were used to analyze associations, controlling for potential confounders.ResultsApproximately 16.5% of participants reported ExH, and 25.7% reported ExQoL. In fully adjusted models, physical activity was positively associated with ExH (AOR = adjusted odds ratio for most versus least active = 2.22, 95% CI = 2.20, 2.47; P(trend) < 0.001) and ExQoL (AOR for most versus least active = 2.30, 95% CI = 2.12, 2.49; P(trend) < 0.001). In fully adjusted models, sitting time was inversely associated with ExH (AOR for least versus most sitting group = 1.13, 95% CI = 1.09, 1.18; P(trend) < 0.001) and ExQoL (AOR for least versus most sitting group = 1.13, 95% CI = 1.10, 1.17; P(trend) < 0.001). In fully adjusted models, interactions between physical activity and sitting time were not significant for ExH (P = 0.118) or ExQoL (P = 0.296).ConclusionsPhysical activity and sitting time are independently associated with excellent health and quality of life in this large diverse sample of Australian middle-aged and older adults. These findings bolster evidence informing health promotion efforts to increase PA and decrease sitting time toward the achievement of better population health and the pursuit of successful aging.

Project description:BackgroundThe coronavirus pandemic has transformed and continues to transform and affect the daily lives of communities worldwide, particularly due to the lockdown restrictions. Therefore, this study was designed to understand the changes in dietary and lifestyle behaviours that are major determinants of health during the COVID-19 outbreak.MethodsA cross-sectional study was conducted through an online questionnaire using a convenience sample of 415 adults living in Kuwait (age range 18-73 years).ResultsThe rate of skipping breakfast remained consistent, with a slight increase during the pandemic. Lunch remained the main reported meal before and during COVID-19. Compared to before COVID-19, people were much more likely have a late-night snack or meal during COVID-19 (OR = 3.57 (95% CI 1.79-7.26), p < 0.001). Moreover, there was a drastic decrease in the frequency of fast-food consumption during COVID-19, up to 82% reported not consuming fast food (p < 0.001). There was a significant increase in the percentage of participants who had their main meal freshly made (OR = 59.18 (95% CI 6.55-1400.76), p = 0.001). Regarding food group patterns, no significant differences were found before and during the pandemic in terms of the weekly frequency of consumption, except in the case of fish and seafood. There were no remarkable changes in beverage consumption habits among participants before and during the pandemic, except for Americano coffee and fresh juice. Furthermore, there was a great reduction in physical activity and an increase in the amount of screen time and sedentary behaviours. A notable increase was detected in day-time sleep and a decrease in night-time sleep among participants.ConclusionIn general, this study indicates some changes in daily life, including changes in some eating practices, physical activity and sleeping habits during the pandemic. It is important that the government considers the need for nutrition education programmes and campaigns, particularly during this critical period of the pandemic in Kuwait.

Project description:OBJECTIVE:To examine the prevalence of atrial fibrillation (AF) and cardiac structural characteristics in Indigenous and non-Indigenous Australians. DESIGN:Retrospective cross-sectional study linking clinical, echocardiography and administrative databases over a 10-year period. SETTING:A tertiary, university teaching hospital in Adelaide, Australia. PARTICIPANTS:Indigenous and non-Indigenous Australians. MAIN OUTCOME MEASURES:AF prevalence and echocardiographic characteristics. RESULTS:Indigenous Australians with AF were significantly younger compared to non-Indigenous Australians (55±13 vs 75±13 years, p<0.001). As a result, racial differences in AF prevalence and left atrial diameter varied according to age. In those under 60 years of age, Indigenous Australians had a significantly greater AF prevalence (2.57 vs1.73%, p<0.001) and left atrial diameters (39±7 vs 37±7 mm, p<0.001) compared to non-Indigenous Australians. In those aged 60 years and above, however, non-Indigenous Australians had significantly greater AF prevalence (9.26 vs 4.61%, p<0.001) and left atrial diameters (39±7 vs 37±7 mm, p<0.001). Left ventricular ejection fractions were less in Indigenous Australians under 60 years of age (49±14 vs 55±11%, p<0.001) and not statistically different in those aged 60 years and above (47±11 vs 52±13, p=0.074) compared to non-Indigenous Australians. Despite their younger age, Indigenous Australians with AF had similar or greater rates of cardiovascular comorbidities than non-Indigenous Australians with AF. CONCLUSIONS:Young Indigenous Australians have a significantly greater prevalence of AF than their non-Indigenous counterparts. In contrast, older non-Indigenous Australians have a greater prevalence of AF compared to their Indigenous counterparts. These observations may be mediated by age-based differences in comorbid cardiovascular conditions, left atrial diameter and left ventricular ejection fraction. Our findings suggest that AF is likely to be contributing to the greater burden of morbidity and mortality experienced by young Indigenous Australians. Further study is required to elucidate whether strategies to prevent and better manage AF in Indigenous Australians may reduce this burden.

Dataset Information

Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study.

Publications

Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study.

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