Rural-to-urban migration, socio-economic status and cardiovascular diseases risk factors among Bangladeshi adults: A nationwide population based survey.

Background: Rural-to-urban migration is one of the key drivers of urbanization in Bangladesh and may impact on cardiovascular diseases (CVD) risk due to lifestyle changes. This study examined whether CVD risk factors were associated with migration to and duration of urban life, considering socio-economic indicators. Methods: A total of 27,792 participants (18-59 years) from the 2006 Bangladesh cross-sectional Urban Health Survey were included in the analyses of whom 14,167 (M: 7,278; W: 6,889) were non-migrant urban residents and 13,625 (M: 6,413; W: 7,212) were rural-to-urban migrants. Gender-specific prevalence of CVD risk factors were estimated for urban and migrant groups. Multivariate logistic regression models were used to test the association between each CVD risk by education and wealth within each study group and their possible effect modification. An analysis on the rural-to-urban migrant subgroup only was conducted to examine the association between each CVD risk factor and length of urban stay adjusted for demographic and socio-economic indicators. Results: Compared to urban residents, migrants had significantly lower prevalence of overweight/obesity for both genders. Hypertension was higher among urban women while alcohol/illicit drug use was higher among urban men. Mental health disorders were higher among migrants than urban residents for both genders and no difference were noted for diabetes or cigarette smoking prevalence. In both study groups and genders, the risk of overweight/obesity, hypertension and diabetes increased with increasing education and wealth whereas for mental health disorders, alcohol/illicit drug use, cigarette and bidi smoking the reverse was found. Differences in BMI between migrant and urban women were attenuated with increased education levels (p = 0.014 for interaction). Consistent increasing pattern of risk was observed with longer duration of urban stay; in migrant men for obesity (OR = 1.67), smoking (OR = 1.67) and alcohol/illicit drug use (OR = 2.86), and for obesity and mental health disorder among migrant women. Conclusions: Migrants had high proportion of CVD risk factors which were influenced by education, wealth and duration of urban stay.

Mortality Paradox of Older Italian-Born Men in Australia: The Concord Health and Ageing in Men Project.

Italian migrants are one of the largest groups of older migrants in Australia. Past research has found lower mortality rates in Italian migrants but it is unclear if this persists into older age. Data came from 334 Italian-born and 849 Australian-born men aged 70 years and over participating in a longitudinal study of men's ageing. Male Italian migrants were more likely to smoke, be overweight, and have lower socio-economic status (SES). They also had higher morbidity from diabetes, chronic pain, dementia and depressive symptoms but lower morbidity from heart disease and cancer. There was no age-adjusted mortality difference. However, adjusting for SES, lifestyle and morbidity differences revealed a 25% lower mortality rate (adjusted HR = 0.75; 95% CI 0.57, 0.98) in Italian-born men. Compared to their Australian-born counterparts, older Italian-born men have a lower mortality than expected considering their lower SES, higher smoking and higher morbidity.

Multiple, but not traditional risk factors predict mortality in older people: the Concord Health and Ageing in Men Project.

This study aims to identify the common risk factors for mortality in community-dwelling older men. A prospective population-based study was conducted with a median of 6.7 years of follow-up. Participants included 1705 men aged ≥70 years at baseline (2005-2007) living in the community in Sydney, Australia. Demographic information, lifestyle factors, health status, self-reported history of diseases, physical performance measures, blood pressure, height and weight, disability (activities of daily living (ADL) and instrumental ADLs, instrumental ADLs (IADLs)), cognitive status, depressive symptoms and blood analyte measures were considered. Cox regression analyses were conducted to model predictors delete time until of mortality. During follow-up, 461 men (27 %) died. Using Cox proportional hazards model, significant predictors of delete time to time to mortality included in the final model (p < 0.05) were older age, body mass index < 20 kg m(2), high white cell count, anaemia, low albumin, current smoking, history of cancer, history of myocardial infarction, history of congestive heart failure, depressive symptoms and ADL and IADL disability and impaired chair stands. We found that overweight and obesity and/or being a lifelong non-drinker of alcohol were protective against mortality. Compared to men with less than or equal to one risk factor, the hazard ratio in men with three risk factors was 2.5; with four risk factors, it was 4.0; with five risk factors, it was 4.9; and for six or more risk factors, it was 11.4, respectively. We have identified common risk factors that predict mortality that may be useful in making clinical decisions among older people living in the community. Our findings suggest that, in primary care, screening and management of multiple risk factors are important to consider for extending survival, rather than simply considering individual risk factors in isolation. Some of the "traditional" risk factors for mortality in a younger population, including high blood pressure, hypercholesterolaemia, overweight and obesity and diabetes, were not independent predictors of mortality in this population of older men.

Ethnicity and falls in older men: low rate of falls in Italian-born men in Australia.

BACKGROUND: past research suggests that fall rates in older persons may differ by ethnicity. The aim of this study was to compare the incidence of falls between older male Italian-born immigrants and their Australian-born counterparts. METHODS: this study analysed data from 335 Italian-born and 848 Australian-born men aged 70 years and over participating in the Concord Health and Ageing in Men Project (CHAMP). Prospective falls data were collected by 4 monthly phone calls (mean follow-up time: 26.7 months). Negative binomial regression compared falls incidence rate ratios (IRR) between the two groups of men. RESULTS: there were 37 (11%) Italian-born men and 185 (22%) Australian-born men who had two or more falls during follow-up (P < 0.001). Negative binomial analysis demonstrated that Italian-born men had half the incidence rate of falls compared with Australian-born men (IRR = 0.51, 95% CI = 0.38-0.67). After adjustment for falls risk factors, Italian-born men remained significantly less likely to fall with a 43% lower fall rate (IRR = 0.57, 95% CI = 0.39-0.85). CONCLUSION: older male Italian-born immigrants are less likely to fall than their Australian-born counterparts. Differences in fall rates between the two groups are not explained by established falls risk factors.

Back pain in older male Italian-born immigrants in Australia: the importance of socioeconomic factors.

Back pain is common in older people and is associated with functional disability and poor self-rated health. Older persons are under-represented in back pain research, and research on back pain in older persons from ethnic minorities is particularly sparse. We investigated differences in back pain characteristics, effects and medication use in a population-based sample of 335 Italian-born immigrants and 849 Australian-born men aged 70 years and over. There were 189 (62%) Italian-born men and 507 (63%) Australian-born men who reported experiencing back pain in the past 12 months. Despite no difference in the reported prevalence of back pain between the two groups of men, Italian-born men were more likely to report that their pain was frequent, severe and chronic. Italian-born men were also more likely to report having other sites of pain and that they had limited their activities in the past 12 months due to back pain. Despite these differences, the use of analgesic medication was the same in both groups. Multivariate analyses showed that differences in pain characteristics and effects between the two groups of men were explained by socioeconomic factors such as years of education and occupation history.