Massey Documents by Type

Permanent URI for this communityhttps://mro.massey.ac.nz/handle/10179/294

Browse

Filters

2021 - 20242

Settings

Author: search.filters.author.Röhr SSubject: search.filters.subject.cognitive functioning

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    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 F
    OBJECTIVES: 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.
  • Thumbnail Image
    Item
    The role of education and income for cognitive functioning in old age: A cross-country comparison
    (John Wiley and Sons Ltd, 2021-12) Rodriguez FS; Hofbauer LM; Röhr S
    Objectives Previous studies have shown that higher education promotes cognitive health. This effect, however, is embedded in the living conditions of a particular country. Since it is not clear to what extent the country and its specific living standards are necessary preconditions for the observed effect, we investigated whether the impact of education and income on cognitive functioning differs between countries. Methods Analyses were based on harmonized data from the World Health Organization's multi-country Study on global AGEing and adult health, the Health and Retirement Study, and the Survey of Health, Ageing and Retirement in Europe of over 85,000 individuals aged 50 years and older. Analyses were conducted via multivariate regression analyses and structural equation modeling adjusted for age, gender, marital status, health status, and depression. Results The effect of education was twice as large as the effect of income on cognitive functioning and indirectly moderated the effect of income on cognitive functioning. The effect sizes varied strongly between countries. The country's gross domestic product per capita seems to influence cognitive functioning. Conclusions Our findings indicate that education has a dominant effect on cognitive functioning in people aged 50 years and older, which might even offset the adverse implications of living with low income on cognitive health. Therefore, expanding efforts to achieve universal education are essential to mitigate health disparities due to low income and early life disadvantages, including chances for good cognitive functioning over the life-span.