Mr Md Mijanur Rahman

Background: Women live longer than men and have an increased need for long-term care. The objective of this study was to identify patterns of aged care use among older Australian women and to examine how these patterns were associated with their demographic and health-related characteristics. Methods: The sample consisted of 8768 women from the 1921¿1926 birth cohort of the Australian Longitudinal Study on Women's Health (ALSWH), who had survived to age 75-80 years. ALSWH survey and linked administrative aged care and death datasets from 2001 to 2011 were utilized. Patterns of aged care use were identified using a repeated measure latent class analysis. Results: We identified four patterns of aged care use over time, differentiated by timing of service onset, types of service use and time of death. Approximately 41% of the sample were non-users or using basic home and community care (HACC), while 24% were at high risk of using moderate to high-level HACC/community aged care package (CACP). Only 11% had a greater risk of using residential aged care (RAC) over time. Being widowed, residing in remote/regional areas, having difficulty in managing income, having a chronic condition, reporting poor/fair self-rated health, and lower SF-36 quality of life scores were associated with an increased odds of being a member of the following classes: 1) moderate to high-level HACC/CACP, 2) increasing RAC, and 3) early mortality, compared with the non-user class. Conclusions: Distinct patterns of aged care use were identified. These results will facilitate future capacity planning for aged care systems in Australia.

Objectives: We examined the development of disease and disability in a large cohort of older women, the extent to which these conditions exempt them from being classified as successful agers and different trajectories of disease, disability and longevity across women's later life. Methods: We used survey data from 12,432 participants of the 1921-26 birth cohort of the Australian Longitudinal Study of Women's Health from 1996 (age 70-75) to 2016 (age 90-95). Repeated measures latent class analysis (RMLCA) identified trajectories of the development of disease with or without disability and according to longevity. Bivariate analyses and multivariable multinomial logistic regression models were used to examine the association between participants' baseline characteristics and membership of the latent classes. Results: Over one-third of women could be considered to be successful agers when in their early 70s, few women could still be classified in this category throughout their later life or by the end of the study when they were in their 90s (~1%). RMLCA identified six trajectory groups including managed agers long survivors (9.0%) with disease but little disability, usual agers long survivors (14.9%) with disease and disability, usual agers (26.6%) and early mortality (25.7%). A small group of women having no major disease or disability well into their 80s were identified as successful agers (5.5%). A final group, missing surveys (18.3%), had a high rate of non-death attrition. Groups were differentiated by a number of social and health factors including marital status, education, smoking, body mass index, exercise and social support. Conclusions: The study shows different trajectories of disease and disability in a cohort of ageing women, over time and through to very old ages. While some women continue into very old age with no disease or disability, many more women live long with disease but little disability, remaining independent beyond their capacity to be classified as successful agers.

Objectives: To investigate help seeking behavior and attitudes to mental health in mining employees. Methods: A pre-post survey study of employees from two Australian coal mines. Data were collected prior to, at baseline, at 6 and 18 months following delivery of the MATES in mining (MIM) peer support mental health intervention. Results: Help seeking behaviors increased, with participants' sex, age, relationship status, shift type, and psychological distress significantly associated with likelihood of seeking help (P < 0.05). In relation to stigma, significantly more participants' disagreed that they would be treated differently by friends or colleagues following disclosure of mental illness (P < 0.01). Conclusions: Results provide an understanding of help seeking behaviors of mining employees; support the MATES in Mining peer support program in the men dominated industry and provide information to guide mental health workplace program development more broadly.

The aims of this study were to investigate patterns of home and community care (HACC) use and to identify factors influencing first HACC use among older Australian women. Our analysis included 11,133 participants from the Australian Longitudinal Study of Women¿s Health (1921¿1926 birth cohort) linked with HACC use and mortality data from 2001 to 2011. Patterns of HACC use were analysed using a k-median cluster approach. A multivariable competing risk analysis was used to estimate the risk of first HACC use. Approximately 54% of clients used a minimum volume and number of HACC services; 25% belonged to three complex care use clusters (referring to higher volume and number of services), while the remainder were intermediate users. The¿initiation of HACC use was significantly associated with (1) living in remote/inner/regional areas, (2) being widowed or divorced, (3) having difficulty in managing income, (4) not receiving Veterans¿ Affairs benefits, (5) having chronic conditions, (6) reporting lower scores on the SF-36 health-related quality of life, and (7) poor/fair self-rated health. Our findings highlight the importance of providing a range of services to meet the diverse care needs of older women, especially in the community setting.

Objective: This study examined the inequality in cesarean section (CS) utilization and its socio-economic contributors. Study design: Retrospective two-stage stratified sample design. Methods: Data were extracted from two rounds of the Bangladesh Demographic and Health Survey conducted in 2004 and 2014. Concentration Index of CS utilization was calculated using the wealth quintile. Regression-based decomposition method was applied to assess the socio-economic contributors of inequality in CS utilization. Results: The rate of CS utilization increased from 4.98% in 2004 to 24.21% in 2014. The utilization of CS was highly concentrated among the women of higher socio-economic status (SES) in both rounds of the survey. Results of the decomposition models revealed wealth quintile, higher education, higher number of antenatal visits, and being overweight or obese as the critical factors contributing to the inequalities of CS utilization. Conclusion: Bangladesh is now observing a rapid rise in CS utilization and women with higher SES are the main client group of this life saving procedure. There may have inadequate access for those who are relatively less advantaged, even when CS is necessary. Strong initiative from the government is necessary to ensure proper access to this service regardless of women's SES.

This study aims to delineate the sociodemographic differences in disability prevalence across the population aged 60 years and over in Bangladesh, and to investigate the association of factors with reporting disability in later life. A microdata sample for those aged 60 years or over from the Census of Bangladesh 2011 was used where disability was assessed with a self-reported single response question. Logistic regression models were performed separately for men and women. Results reveal that the disability prevalence rate increased sharply with age, and it was higher among older women (5.2 per cent) compared to men (4.8 per cent). Physical and vision disabilities were the two categories with the highest prevalence of reported disabilities, with a higher prevalence of physical disability among men and vision disability among women. Being older, female, currently not in marital partnership, and having a lower educational attainment, not being employed, living alone, and residing in the rural areas were significantly associated with reporting disability in later life. The higher prevalence of disability among older women, those who are illiterate, and those residing in rural areas highlights the need for policies prioritising these groups. Special attention should also be given to those who are currently not in marital partnership, particularly women who are living alone.

Health inequalities have been observed among older people in many developing countries, particularly among those with least social protection and low socio-economic (SES) status. This study attempted to examine effects of SES on the health of older adults, and related gender differences, in two rural sub-districts - Matlab, Bangladesh and Vadu, India. The study utilised the WHO SAGE-INDEPTH Wave 1, 2007 Matlab, Bangladesh and Vadu, Pune District, India datasets. Both gender and SES indicators were strongly associated with all health indicators of older adults in the Bangladesh site, whereas in India, education and asset quintiles were not consistently associated with self-rated health, quality of life and functional ability score but gender was consistently associated with all health indicators except the quality of life score. The SES-health gradient was noticeably higher amongst older adults in Matlab, Bangladesh than in Vadu, India. Education was also found to be an important predictor of health outcome in both sites.