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Chronic pain is common in older people. However, little is known about how pain is experienced in residents of retirement villages ('villages'), and how pain intensity and associations are experienced in relation to characteristics of residents and village living. We thus aimed to examine pain levels, prevalence and associated factors in village residents. The current paper is a cross‐sectional analysis of baseline data from the 'Older People in Retirement Villages' study in Auckland, New Zealand. Between July 2016 and August 2018, 578 village residents were interviewed face‐to‐face by gerontology nurse specialists, using interRAI Community Health Assessment (CHA) and customised survey. We used a validated pain scale and multivariable logistic regression analyses adjusted for pre‐specified confounders. Residents' median age was 82 years; 420 (73%) were female; 270 (47%) exhibited/reported daily pain, and in 11% this was severe. After controlling for confounders, daily pain was positively associated with self‐reported arthritis (OR = 3.88, 95% CI = 2.57–5.87), poor/fair self‐reported health (OR = 3.19, 95% CI = 1.29–7.93), having no health clinic on‐site (OR = 1.76, 95% CI = 1.10–2.83), and minimal fatigue (diminished energy but completes normal day‐to‐day activities) (OR = 1.77, 95% CI = 1.11–2.81). Similar associations were observed for levels of pain. We conclude that levels of pain and prevalence of daily pain are high in village residents. Self‐reported arthritis, self‐reported poor/fair health, no health clinic on‐site and minimal fatigue are all independently associated with a higher risk of daily pain and with levels of pain. This study suggests potential opportunities for villages to better provide on‐site support to decrease prevalence and severity of pain for their residents, and thus potentially increase wellbeing and quality‐of‐life, though as we cannot prove causality, more research is needed. [ABSTRACT FROM AUTHOR]

The aim of this paper is to report nurses' and midwives' health, vitality and well-being in relation to adherence to current health behaviour recommendations. Healthy lifestyle factors constitute a core set of parameters required if an individual wants to live a healthy life, age successfully and avoid morbidity and a premature mortality. The investigation is an observation study of Australian and New Zealand nurses and midwives. Data were generated from the e-Cohort survey and the healthy lifestyle (HL;N = 338) group categorised as those adhering to physical activity and dietary guidelines, not smoking, consuming moderate alcohol and getting between 7 and 9 hours of sleep in a 24-hour period. All others were categorised as non-healthy lifestyle (NHL;N = 338) irrelevant of the number of factors present. It was found that HL group reported less work place activity but more leisure-time activity and had a lower BMI than NHL. In addition, the HL group was most likely to report improved sleep quality and least likely to report workplace and emotional barriers in day-to-day life. In contrast, those in the NHL group were less likely to report their health as excellent and were more likely to report a history of anxiety, depression and limitations in daily activities. It was concluded that collectively, the professions need to take action and members need to change lifestyle choices around physical activity, diet, smoking, alcohol and sleep. This study has important implications for workforce planners and administrators concerned about the well-being of individual members of the professions and the nursing and midwifery workforce. [ABSTRACT FROM PUBLISHER]

This paper reports on the cost-effectiveness of pedometer-based versus time-based Green Prescriptions in improving physical activity and health-related quality of life (EQ-5D) in a randomised controlled trial of 330 low-active, community-based adults aged 65 years and over. Costs, measured in $NZ (NZ$1=A$0.83, December 2008), comprised public and private health care costs plus exercise-related personal expenditure. Based on intention-to-treat data at 12-month follow up, the pedometer group showed a greater increase in weekly leisure walking (50.6 versus 28.1min for the time-based group, adjusted means, P=0.03). There were no significant between-group differences in costs. The incremental cost-effectiveness ratios, for the pedometer-based versus time-based Green Prescription, per 30min of weekly leisure walking and per quality-adjusted life year were, (i) when including only community care costs, $115 and $3105, (ii) when including only exercise and community care costs, $130 and $3500, and (iii) for all costs, -$185 and -$4999, respectively. The cost-effectiveness acceptability curves showed that the pedometer-based compared with the time-based Green Prescription was statistically cost-effective, for the above cost categories, at the following quality-adjusted life year thresholds: (i) $30000; (ii) $30500; and (iii) $16500. The additional program cost of converting one sedentary adult to an active state over a 12-month period was $667. The outcomes suggest the pedometer-based Green Prescription may be cost-effective in increasing physical activity and health-related quality of life over 12 months in previously low-active older adults. [ABSTRACT FROM AUTHOR]