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Dive into the research topics where Mark Hanly is active.

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Featured researches published by Mark Hanly.


BMJ Open | 2013

The effect of multiple chronic conditions on self-rated health, disability and quality of life among the older populations of Northern Ireland and the Republic of Ireland:a comparison of two nationally representative cross-sectional surveys

Olga McDaid; Mark Hanly; Kathryn Richardson; Frank Kee; Rose Anne Kenny; George M. Savva

Objectives Multimorbidity is common in the older population, but the impact of combinations of chronic conditions on disability and quality of life (QoL) is not well known. This analysis explores the effect of specific combinations of chronic diseases on disability, QoL and self-rated health (SRH). Design We used data from two population representative cross-sectional studies, the Northern Ireland Health and Social Wellbeing Survey (NIHSWS) 2005 and the Survey of Lifestyle, Attitudes and Nutrition (SLAN) 2007 (conducted in the Republic of Ireland). Setting Randomly selected community-living participants were interviewed at home. Participants A total of 6159 participants aged 50 years and older were included in the analysis. Outcome measures Chronic conditions were classified as cardiovascular disease, chronic pain, diabetes or respiratory disease. Interaction terms estimated by logistic regression were used to examine the effects of multiple chronic conditions on disability, SRH and QoL. Results Each chronic condition group was correlated with each of the others after adjusting for sociodemographic factors. Those from Northern Ireland were more likely to report a limitation in daily activities (45%) compared to those from the Republic of Ireland (21%). Each condition had an independent effect on disability, SRH and QoL, and those with multiple chronic conditions reported the worst outcomes. However, there were no statistically significant positive interactions between chronic condition groups with respect to any outcome. Conclusions Chronic conditions affect individuals largely independent of each other with respect to their effect on disability, SRH and QoL. However, a significant proportion of the population aged 50 years and over across the island of Ireland lives with multimorbidity, and this group is at the highest risk of disability, poor SRH and poor QoL.


PLOS Medicine | 2018

Maternal age and offspring developmental vulnerability at age five: A population-based cohort study of Australian children

Kathleen Falster; Mark Hanly; Emily Banks; John Lynch; Georgina M. Chambers; Marni Brownell; Sandra Eades; Louisa Jorm

Background In recent decades, there has been a shift to later childbearing in high-income countries. There is limited large-scale evidence of the relationship between maternal age and child outcomes beyond the perinatal period. The objective of this study is to quantify a child’s risk of developmental vulnerability at age five, according to their mother’s age at childbirth. Methods and findings Linkage of population-level perinatal, hospital, and birth registration datasets to data from the Australian Early Development Census (AEDC) and school enrolments in Australia’s most populous state, New South Wales (NSW), enabled us to follow a cohort of 99,530 children from birth to their first year of school in 2009 or 2012. The study outcome was teacher-reported child development on five domains measured by the AEDC, including physical health and well-being, emotional maturity, social competence, language and cognitive skills, and communication skills and general knowledge. Developmental vulnerability was defined as domain scores below the 2009 AEDC 10th percentile cut point. The mean maternal age at childbirth was 29.6 years (standard deviation [SD], 5.7), with 4,382 children (4.4%) born to mothers aged <20 years and 20,026 children (20.1%) born to mothers aged ≥35 years. The proportion vulnerable on ≥1 domains was 21% overall and followed a reverse J-shaped distribution according to maternal age: it was highest in children born to mothers aged ≤15 years, at 40% (95% CI, 32–49), and was lowest in children born to mothers aged between 30 years and ≤35 years, at 17%–18%. For maternal ages 36 years to ≥45 years, the proportion vulnerable on ≥1 domains increased to 17%–24%. Adjustment for sociodemographic characteristics significantly attenuated vulnerability risk in children born to younger mothers, while adjustment for potentially modifiable factors, such as antenatal visits, had little additional impact across all ages. Although the multi-agency linkage yielded a broad range of sociodemographic, perinatal, health, and developmental variables at the child’s birth and school entry, the study was necessarily limited to variables available in the source data, which were mostly recorded for administrative purposes. Conclusions Increasing maternal age was associated with a lesser risk of developmental vulnerability for children born to mothers aged 15 years to about 30 years. In contrast, increasing maternal age beyond 35 years was generally associated with increasing vulnerability, broadly equivalent to the risk for children born to mothers in their early twenties, which is highly relevant in the international context of later childbearing. That socioeconomic disadvantage explained approximately half of the increased risk of developmental vulnerability associated with younger motherhood suggests there may be scope to improve population-level child development through policies and programs that support disadvantaged mothers and children.


BMJ Open | 2017

Association between respiratory syncytial viral disease and the subsequent risk of the first episode of severe asthma in different subgroups of high-risk Australian children: a whole-of-population-based cohort study

Nusrat Homaira; Nancy Briggs; Christopher Pardy; Mark Hanly; Ju Lee Oei; Lisa Hilder; Barbara Bajuk; Kei Lui; William D. Rawlinson; Tom Snelling; Adam Jaffe

Objective To determine the contribution of respiratory syncytial virus (RSV) to the subsequent development of severe asthma in different subgroups of children at risk of severe RSV disease. Settings The study was conducted in New South Wales (NSW), Australia. Participants The study comprised all children born in NSW between 2000 and 2010 with complete follow-up till 31 December 2011. The cohort was divided into three subgroups: (1) non-Indigenous high-risk children: non-Indigenous children born preterm or born with a low birth weight; (2) Indigenous children: children of mothers whose Indigenous status was recorded as Aboriginal and/or Torres Strait Islander and (3) non-Indigenous standard risk children: all other non-Indigenous term children. Primary outcome measure Risk of development of severe asthma in different subgroups of children who had RSV hospitalisation in the first 2 years of life compared with those who did not. Design We performed a retrospective cohort analysis using population-based linked administrative data. Extended Cox model was used to determine HR and 95% CI around the HR for first asthma hospitalisation in different subgroups of children. Results The cohort comprised 847 516 children born between 2000 and 2010. In the adjusted Cox model, the HR of first asthma hospitalisation was higher and comparable across all subgroups of children who had RSV hospitalisation compared with those who did not. The HR (95% CI) was highest in children aged 2–3 years; 4.3 (95% CI 3.8 to 4.9) for high-risk, 4.0 (95% CI 3.3 to 4.8) for Indigenous and 3.9 (95% CI 3.7 to 4.1) for non-Indigenous standard risk children. This risk persisted beyond 7 years of age. Conclusion This large study confirms a comparable increased risk of first asthma hospitalisation following RSV disease in the first 2 years of life across different subgroups children at risk.


Journal of The Royal Statistical Society Series A-statistics in Society | 2016

Sequence analysis of call record data: exploring the role of different cost settings

Mark Hanly; Paul Clarke; Fiona Steele


International Journal of Epidemiology | 2017

Data Resource Profile: Seeding Success: a cross-sectoral data resource for early childhood health and development research in Australian Aboriginal and non-Aboriginal children

Kathleen Falster; Mikaela Jorgensen; Mark Hanly; Emily Banks; Marni Brownell; Sandra Eades; Rhonda Craven; Sharon Goldfeld; Deborah Randall; Louisa Jorm


Paediatric and Perinatal Epidemiology | 2018

Gestational Age and Child Development at Age Five in a Population-Based Cohort of Australian Aboriginal and Non-Aboriginal Children

Mark Hanly; Kathleen Falster; Georgina M. Chambers; John Lynch; Emily Banks; Nusrat Homaira; Marni Brownell; Sandra Eades; Louisa Jorm


European Respiratory Journal | 2017

RSV increases the risk of first paediatric asthma hospitalisation: whole-of-population cohort study

Nusrat Homaira; Mark Hanly; Nancy Briggs; Christopher Pardy; Ju Lee Oei; Lisa Hilder; Barbara Bajuk; Kei Lui; William D. Rawlinson; Tom Snelling; Adam Jaffe


Archive | 2014

Variation in incentive effects across neighbourhoods:An example from the Irish Longitudinal Study of ageing

Mark Hanly; George M. Savva; Ian Clifford; Brendan J. Whelan


International Journal for Population Data Science | 2018

Developmental vulnerability at age five among children who enter and progress through the child protection system in New South Wales, Australia: a cross-sectoral data linkage study

Kathleen Falster; Mark Hanly; Rhiannon Pilkington; Marilyn Chilvers; Elizabeth Whittaker; John Lynch


International Journal for Population Data Science | 2017

Preschool attendance and early childhood development outcomes in the first year of school for Aboriginal and non-Aboriginal children in New South Wales, Australia

Mikaela Jorgensen; Kathleen Falster; Mark Hanly; Sharon Goldfeld; Louisa Jorm; Rhonda Craven

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Kathleen Falster

Australian National University

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Louisa Jorm

University of New South Wales

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Emily Banks

Australian National University

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John Lynch

University of Adelaide

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George M. Savva

University of East Anglia

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Nusrat Homaira

University of New South Wales

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Rhonda Craven

Australian Catholic University

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Sandra Eades

Baker IDI Heart and Diabetes Institute

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