Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Public Health.(2024-12) Röhr S; Gibson R; Alpass FBACKGROUND: High purpose in life - the extent of engagement in activities that are personally valued and give a sense of direction and meaning to life - has been associated with higher cognitive functioning and may protect against dementia. Less is known about gender differences in cognitive functioning regarding purpose in life. Understanding gender-specific links can inform tailored interventions aimed at promoting cognitive health. METHOD: A subsample (n = 875, aged 50-85 years) of the NZHWR study completed face-to-face cognitive assessments and postal surveys in 2012. Cognitive functioning was assessed with Addenbrooke's Cognitive Examination-Revised (ACE-R), adapted for culturally acceptable use in New Zealand. Purpose in life was measured with the Life Engagement Test. Linear regression analysis assessed associations of gender, purpose in life and their interaction with cognitive functioning, controlling for socioeconomic factors (age, age², education, ethnicity [Māori, Indigenous people of New Zealand, and Non-Māori, mostly of European descent], marital status, employment, individual-level economic hardship, area-based socioeconomic deprivation), lifestyle and health factors (smoking, alcohol consumption, physical activity, SF-12 physical and mental health, social engagement, social loneliness). RESULT: The analytical sample (n = 643) was M = 65.3 (SD = 7.4) years old; 53.3% women, 21.2% Māori. The ACE-R score was M = 92.9 (SD = 5.3). N = 55 (8.5%) scored ≥1.5SD below the mean, indicating cognitive impairment. Women had higher cognitive functioning (M = 93.7, SD = 4.6 vs. M = 92.0, SD = 5.8; Z = -3.88, p<.001) and purpose in life (M = 26.2, SD = 3.8 vs. M = 25.8, SD = 3.4; Z = -2.19, p = .029) than men. In the adjusted regression analysis (R² = 27.6%), higher purpose in life (B = 0.29, 95%CI = 0.12;0.46; p = .001) and female gender (B = 9.97, 95%CI = 4.71;15.24, p<.001) were associated with higher cognitive functioning. The association of purpose in life with cognitive functioning was less pronounced for women than men (B = -0.31, 95%CI = -0.51;-0.11; p = .003) (Fig. 1). Significant covariates included age², education, deprivation, and social loneliness. CONCLUSION: In this sample of older New Zealanders, a gender difference in cognitive functioning varied by level of purpose in life. Women had higher cognitive functioning than men, particularly at lower purpose in life, with the difference decreasing as purpose in life increases. Interventions to enhance purpose in life might particularly benefit men. Notably, cognitive functioning may also impact purpose in life, emphasising the need for longitudinal studies.Item Area-based socioeconomic deprivation is associated with cognitive decline in midlife to early late-life New Zealanders without cognitive impairment(Wiley Periodicals LLC on behalf of Alzheimer's Association, 2025-01-09) Röhr S; Gibson R; Alpass FBackground Research identified individual-level socioeconomic factors as key determinants of cognitive health. This study investigated the effect of area-based socioeconomic deprivation on cognitive outcomes in midlife to early late-life New Zealanders without cognitive impairment. Understanding geographical dimensions of socioeconomic determinants of cognitive health is important from an equity perspective. Method Data stemmed from a subsample of the New Zealand Health, Work and Retirement Study, a cohort study on ageing. In 2010, 1,001 participants aged 49-84 years completed face-to-face interviews and were reassessed two years later. Cognitive functioning was measured using Addenbrooke’s Cognitive Examination–Revised, adapted for culturally acceptable use in New Zealand. Area-based socioeconomic deprivation was assessed using the New Zealand Deprivation Index (NZDep2006). Linear mixed-effects models analysed the association between area-based socioeconomic deprivation and cognitive outcomes, controlling for individual-level socioeconomic (age, age², gender, education, ethnicity [Māori, Indigenous people of New Zealand, and Non-Māori, mostly of European descent], marital status, employment, net personal income), lifestyle and health variables (Lifestyle for Brain Health/LIBRA index, social loneliness). Result The analysis included 783 participants (54.7% female, mean age 62.7 years, 25.0% Māori). Individuals with cognitive impairment at baseline (n = 69) and older than 75 years were excluded (n = 79). Further attrition was due to missing data. At baseline, 39.7% resided in low deprivation areas, 39.0% in moderate, and 21.3% in high deprivation areas. The unadjusted model indicated a significant association between higher area-based socioeconomic deprivation and lower cognitive functioning (B = -0.16, 95%CI: -0.22,-0.10; p < .001) and cognitive decline (B = -0.12, 95%CI: -0.21;-0.03; p = .015). The adjusted model yielded similar results for cognitive functioning (B = -0.08, 95%CI: -0.15;-0.01; p = .050) and cognitive decline (B = -0.12, 95%CI: -0.20;-0.04, p = .013) (Fig. 1). Influential covariates included gender, education, and lifestyle (LIBRA). Conclusion This study demonstrated a relationship between higher area-based socioeconomic deprivation and lower cognitive functioning, along with cognitive decline, in cognitively unimpaired New Zealanders aged 48 to 75 years. These findings emphasize the importance of considering neighbourhood characteristics and broader socioeconomic factors in strategies aimed at mitigating cognitive health disparities and reducing the impact of dementia in disadvantaged communities.Item Lifestyle for brain health and cognitive functioning in midlife to early late-life New Zealanders: Utility of the LIBRA index.(John Wiley and Sons, Inc., 2024-05-01) Röhr S; Stephens C; Alpass FOBJECTIVES: There is enormous potential to improve brain health and reduce the risk of cognitive decline and dementia based on modifiable risk factors. The Lifestyle for Brain Health (LIBRA) index was developed to quantify modifiable dementia risk or room for brain health improvement. The objective of the study was to investigate the utility of the LIBRA index in relation to cognitive functioning in a midlife to early late-life sample of New Zealanders. METHODS: A subsample (n = 1001) of the longitudinal New Zealand Health, Work and Retirement (NZHWR) study completed face-to-face cognitive assessments using the 'Kiwi' Addenbrooke's Cognitive Examination-Revised (ACE-R) in 2010 and again in 2012, in addition to completing biennial NZHWR surveys on socioeconomic, health and wellbeing aspects. The LIBRA index was calculated incorporating information on 8 out of 12 modifiable health and lifestyle factors for dementia. Unadjusted and adjusted regression models and mixed effects models were used to inspect associations of LIBRA with cognitive functioning, cognitive impairment, and cognitive decline. RESULTS: The analytical sample (n = 881 [88.0%], after considering exclusion criteria and missing data) had a mean age of 63.1 (SD = 6.5) years, 53.3% were female, 26.2% were Māori, and 61.7% were highly educated. Higher LIBRA scores (indicating higher modifiable dementia risk) were associated with lower cognitive functioning (B = -0.33, 95% CI = -0.52;-0.15, p < 0.001) and a higher likelihood of cognitive impairment (OR = 1.22, 95% CI = 1.04; 1.42, p = 0.013), but did not predict cognitive decline over 2 years (B = -0.03, 95% CI = -0.22; 0.16, p = 0.766), adjusted for age, age2, gender, education, and ethnicity. CONCLUSIONS: The LIBRA index indicated promising utility for quantifying modifiable dementia risk in midlife and early late-life New Zealanders. For local use, refinement of the LIBRA index should consider cultural differences in health and lifestyle risk factors, and further investigate its utility with a wider range of modifiable factors over a longer observation period.Item Understanding the use of Flexible Work Arrangements Among Older New Zealand Caregivers(SAGE Publications, 2023-05) Koreshi SY; Alpass FFlexibility in the workplace has been suggested to promote prolonged employment among older workers. This study focuses on the question of whether the use of flexible work arrangements (FWAs) differs between caregivers and non-caregivers and how potential differences can be explained. Participants were 296 carers and 1611 non-carers (aged 55–70 years) who completed the 2018 Health, Work and Retirement survey and were in paid employment. Hierarchical regression was used to investigate caregiving as an independent predictor of use of FWAs after controlling for demographic and work-related variables. Results show that caregivers on average used more FWAs than non-caregivers, including flexible work hours, flexible schedules and time off. Differences in FWAs use between caregivers and non-caregivers cannot be explained by differences in socio demographic and work characteristics. The use of FWAs warrants attention in discussions about prolonged employment and reconciliation of care and work among older adults.Item Daytime fatigue as a predictor for subsequent retirement among older New Zealand workers(Elsevier Inc on behalf of National Sleep Foundation, 2021-12) Myllyntausta S; Gibson R; Salo P; Allen J; Gander P; Alpass F; Stephens CObjectives There is limited information on the role of fatigue on retirement, either independently or in association with poor sleep. The aim of this study was to examine the prospective association between daytime fatigue, measured as feeling tired or feeling worn out, independently and in relation to dissatisfaction with sleep, and subsequent retirement among 960 older workers in New Zealand. Methods Data from 2 consecutive surveys (2008 and 2010) of the New Zealand Health, Work, and Retirement Longitudinal Study were used. Poisson regression was used to investigate whether feeling tired and feeling worn out in 2008, along with dissatisfaction with sleep, were associated with self-reported retirement either due to health reasons or other reasons by 2010. Results The risk for retirement due to health reasons during a 2-year follow-up was 1.80-fold (95% confidence interval [CI] 1.16-2.45) among those who felt tired and 1.99-fold (95% CI 1.34-2.64) among those who felt worn out when compared to those not tired or not feeling worn out after adjusting for several sociodemographic, work characteristics and self-rated health. The risk for retirement due to health reasons was even higher when participant experienced both tiredness and feeling worn out. Dissatisfaction with sleep did not predict retirement due to health or other reasons. Conclusions Our results highlight that workers at risk of subsequent retirement due to health reasons may be identified with rather simple questions on tiredness and feeling worn out even among generally healthy older workers.