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522 results on '"Connolly, Martin J."'

9. Medicines use and polypharmacy in retirement village residents in Aotearoa New Zealand: a point prevalence observational study.

Author

Hikaka, Joanna, Wu, Zhenqiang, Boyd, Michal, Connolly, Martin J., Broad, Joanna B., Calvert, Cheryl, Tatton, Annie, Peri, Kathy, and Bloomfield, Katherine

Subjects
CARDIOVASCULAR disease prevention, ANTACIDS, SELF-evaluation, T-test (Statistics), ANTILIPEMIC agents, RESEARCH funding, RETIREMENT, SCIENTIFIC observation, QUESTIONNAIRES, POLYPHARMACY, DISEASE prevalence, DESCRIPTIVE statistics, CHI-squared test, ANTIHYPERTENSIVE agents, AGE distribution, LONGITUDINAL method, SENIOR housing, STATINS (Cardiovascular agents), RURAL conditions, COMPARATIVE studies, PLATELET aggregation inhibitors, MEDICAL care for older people, SOCIODEMOGRAPHIC factors, DATA analysis software, DRUG utilization, ACCIDENTAL falls, OLD age
Abstract

Introduction: Polypharmacy increases the risk of medicines-related harm, including falls, in older adults. Falls have a significant impact on quality of life and health system resources. Little is known about medicine use in retirement village (RV) residents in Aotearoa New Zealand (NZ). Aim: Our study aimed to describe medicine use and the point prevalence of polypharmacy among a cohort of RV residents in Auckland, NZ. Methods: Data collection occurred from July 2016 to June 2018. Eligible participants (those residing permanently in a RV) were recruited from RVs in Auckland, New Zealand. Medicines use data were collected using an interRAI assessment tool. Descriptive statistics, t -tests and Chi-squared tests were used for analysis. Results: A total of 578 residents were recruited from 33 RVs and the median age was 81.6 years. Participants took a mean of 4.8 regular medicines (standard deviation = 2.9) and 0.7 'as required' medicines. Anti-hypertensives (68.5%), lipid-lowering medicines (45.2%), antacids (39.4%) and antiplatelet agents (37.9%) were the most prescribed medicine classes. Polypharmacy (five-plus medicines; 51.8%) was common and hyperpolypharmacy (10-plus medicines; 5.7%) occurred infrequently. Discussion: This study provides insight into medicines use by RV residents in Auckland, NZ. Medicines used for primary and secondary prevention of cardiovascular disease were used most commonly and polypharmacy was common. Active review of RV residents' medicines is warranted, based on these findings and increasing evidence regarding the use of medicines, including those for primary prevention of cardiovascular disease. Trial registration: Australia and New Zealand Clinical Trials Registry: CTRN12616000685415. Registered 25.5.2016. Universal Trial Number (UTN): U111–1173-6083. What is already known: Older people commonly take medicines to improve their health, however medicines can also be harmful. Little is known about medicines use in retirement village residents in Aotearoa New Zealand. What this study adds: Our findings, along with new information about medicine use in 'oldest' age, suggest that retirement village residents may benefit from talking to their health professional about their medicines to see if they are still the right medicines for them. [ABSTRACT FROM AUTHOR]

Published
2024
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25. sj-pdf-1-jag-10.1177_07334648211072540 ��� Supplemental Material for How Does Driving Anxiety Relate to the Health and Quality of Life of Older Drivers?

Author

Taylor, Joanne E., McLean, Rebecca, Samaranayaka, Ari, and Connolly, Martin J.

Subjects
FOS: Clinical medicine, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences, 110306 Endocrinology, 110308 Geriatrics and Gerontology
Abstract

Supplemental Material, sj-pdf-1-jag-10.1177_07334648211072540 for How Does Driving Anxiety Relate to the Health and Quality of Life of Older Drivers? by Joanne E. Taylor, Rebecca McLean, Ari Samaranayaka, and Martin J. Connolly in Journal of Applied Gerontology

Published
2022
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29. Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12

Author

Jackson, Victoria E, Ntalla, Ioanna, Sayers, Ian, Morris, Richard, Whincup, Peter, Casas, Juan-Pablo, Amuzu, Antoinette, Choi, Minkyoung, Dale, Caroline, Kumari, Meena, Engmann, Jorgen, Kalsheker, Noor, Chappell, Sally, Guetta-Baranes, Tamar, McKeever, Tricia M, Palmer, Colin N A, Tavendale, Roger, Holloway, John W, Sayer, Avan A, Dennison, Elaine M, Cooper, Cyrus, Bafadhel, Mona, Barker, Bethan, Brightling, Chris, Bolton, Charlotte E, John, Michelle E, Parker, Stuart G, Moffat, Miriam F, Wardlaw, Andrew J, Connolly, Martin J, Porteous, David J, Smith, Blair H, Padmanabhan, Sandosh, Hocking, Lynne, Stirrups, Kathleen E, Deloukas, Panos, Strachan, David P, Hall, Ian P, Tobin, Martin D, and Wain, Louise V

Published
2016
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33. An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study

Author

Bloomfield, Katherine, primary, Wu, Zhenqiang, additional, Tatton, Annie, additional, Calvert, Cheryl, additional, Peel, Nancye, additional, Hubbard, Ruth, additional, Jamieson, Hamish, additional, Hikaka, Joanna, additional, Boyd, Michal, additional, Bramley, Dale, additional, and Connolly, Martin J., additional

Published
2022
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36. Opportunities to be active in retirement villages and factors associated with physical activity in residents.

Author

Aoi Yoshihara, Bloomfield, Katherine, Zhenqiang Wu, Tatton, Annie, Hikaka, Joanna, Boyd, Michal, Peri, Kathy, and Connolly, Martin J.

Subjects
CONFIDENCE intervals, SENIOR housing, CROSS-sectional method, SELF-evaluation, MULTIPLE regression analysis, QUANTITATIVE research, HEALTH status indicators, PHYSICAL activity, SEX distribution, QUESTIONNAIRES, EXERCISE, WALKING, ACCESSIBLE design, DESCRIPTIVE statistics, RESEARCH funding, RETIREMENT, STATISTICAL sampling, FATIGUE (Physiology), ODDS ratio, DATA analysis software, OLD age
Abstract

Introduction. Physical activity (PA) in older people is associated with improved morbidity and mortality outcomes. Increasing numbers of older people are choosing to live in retirement villages, many of which promote themselves as providing opportunities for activity. Aim. To explore the characteristics of PA village residents were undertaking and the associated individual and village factors. Methods. Health, functional and wellbeing information was collected from 577 residents recruited from 34 villages in Auckland, New Zealand, using an International Resident Assessment Instrument and customised survey tools containing items on self-reported PA. Managers from villages completed a survey on village characteristics and facilities. Results. The mean age (s.d.) of village residents was 82 (7) years, and 325 (56%) reporting doing one or more hours of PA in the 3 days prior to assessment. Moderate exercise was performed by 240 (42%) village residents, for a mean (s.d.) of 2.7 (3.4) h per week. The most common activities provided by villages included: bowls/petanque (22, 65%) and exercise classes (22, 65%), and walking was the most common activity undertaken (348, 60%). Factors independently associated with PA included individual factors (gender, fatigue, constipation, self-reported health, number of medications, moving to village for safety and security, utilising village fitness programme, use of the internet, and satisfaction with opportunities to be active) and village-related factors (access to unit, and ownership model). Discussion. PA uptake is determined by many factors at both personal (physical and psychosocial) and environmental levels. Clinicians should focus on individualised PA promotion in those with identified risk factors for low levels of PA. [ABSTRACT FROM AUTHOR]

Published
2023
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45. Additional file 1 of Predictive factors for entry to long-term residential care in octogenarian Māori and non-Māori in New Zealand, LiLACS NZ cohort

Author

Marycarol Holdaway, Wiles, Janine, Ngaire Kerse, Zhenqiang Wu, Moyes, Simon, Connolly, Martin J., Menzies, Oliver, Teh, Ruth, Marama Muru-Lanning, Merryn Gott, and Broad, Joanna B.

Abstract

Additional file 1. Primary data sources. Describes the data sources used for the risk factors and the endpoint of interest, i.e. entry to LTC.

Published
2021
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