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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 Higher socioeconomic deprivation in areas predicts cognitive decline in New Zealanders without cognitive impairment(Springer Nature Limited, 2024-11-16) Röhr S; Gibson RH; Alpass FMPrevious studies 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 at baseline. Data stemmed from a subsample of the New Zealand Health, Work and Retirement Study, a cohort study on ageing, who 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 Aotearoa 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. The analysis included 783 participants without cognitive impairment at baseline (54.7% female, mean age 62.7 years, 25.0% Māori, the Indigenous people of Aotearoa New Zealand). There was an association between higher area-based socioeconomic deprivation and lower 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) over two years, while controlling for covariates. The findings emphasise 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 Trajectory of Cognitive Decline Before and After Stroke in 14 Population Cohorts(American Medical Association, 2024-10-02) Lo JW; Crawford JD; Lipnicki DM; Lipton RB; Katz MJ; Preux P-M; Guerchet M; d'Orsi E; Quialheiro A; Rech CR; Ritchie K; Skoog I; Najar J; Sterner TR; Rolandi E; Davin A; Rossi M; Riedel-Heller SG; Pabst A; Röhr S; Ganguli M; Jacobsen E; Snitz BE; Anstey KJ; Aiello AE; Brodaty H; Kochan NA; Chen Y-C; Chen J-H; Sanchez-Juan P; Del Ser T; Valentí M; Lobo A; De-la-Cámara C; Lobo E; Sachdev PSIMPORTANCE: Poststroke cognitive impairment is common, but the cognitive trajectory following a first stroke, relative to prestroke cognitive function, remains unclear. OBJECTIVE: To map the trajectory of cognitive function before any stroke and after stroke in global cognition and in 4 cognitive domains, as well as to compare the cognitive trajectory prestroke in stroke survivors with the trajectory of individuals without incident stroke over follow-up. DESIGN, SETTING, AND PARTICIPANTS: The study used harmonized and pooled data from 14 population-based cohort studies included in the Cohort Studies of Memory in an International Consortium collaboration. These studies were conducted from 1993 to 2019 across 11 countries among community-dwelling older adults without a history of stroke or dementia. For this study, linear mixed-effects models were used to estimate trajectories of cognitive function poststroke relative to a stroke-free cognitive trajectory. The full model adjusted for demographic and vascular risk factors. Data were analyzed from July 2022 to March 2024. EXPOSURE: Incident stroke. MAIN OUTCOMES AND MEASURES: The primary outcome was global cognition, defined as the standardized average of 4 cognitive domains (language, memory, processing speed, and executive function). Cognitive domain scores were formed by selecting the most commonly administered test within each domain and standardizing the scores. RESULTS: The study included 20 860 participants (12 261 [58.8%] female) with a mean (SD) age of 72.9 (8.0) years and follow-up of 7.51 (4.2) years. Incident stroke was associated with a substantial acute decline in global cognition (-0.25 SD; 95% CI, -0.33 to -0.17 SD), the Mini-Mental State Examination, and all cognitive domains (ranging from -0.17 SD to -0.22 SD), as well as accelerated decline in global cognition (-0.038 SD per year; 95% CI, -0.057 to -0.019 SD per year) and all domains except memory (ranging from -0.020 to -0.055 SD per year), relative to a stroke-free cognitive trajectory. There was no significant difference in prestroke slope in stroke survivors compared with the rate of decline in individuals without stroke in all cognitive measures. The mean rate of decline without a previous stroke was -0.049 SD per year (95% CI, -0.051 to -0.047 SD) in global cognition. CONCLUSIONS AND RELEVANCE: In this cohort study using pooled data from 14 cohorts, incident stroke was associated with acute and accelerated long-term cognitive decline in older stroke survivors.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 Social determinants and lifestyle factors for brain health: implications for risk reduction of cognitive decline and dementia(Springer Nature Limited, 2022-07-28) Röhr S; Pabst A; Baber R; Engel C; Glaesmer H; Hinz A; Schroeter ML; Witte AV; Zeynalova S; Villringer A; Löffler M; Riedel-Heller SGSubstantial evidence indicates a huge potential for risk reduction of cognitive decline and dementia based on modifiable health and lifestyle factors. To maximize the chances for risk reduction, it is useful to investigate associations of social determinants and lifestyle for brain health. We computed the “LIfestyle for BRAin health” (LIBRA) score for baseline participants of the Leipzig Research Centre for Civilization Diseases (LIFE) Adult Study, a population-based urban cohort in Germany. LIBRA predicts dementia in midlife and early late life populations, comprising 12 modifiable risk factors (heart disease, kidney disease, diabetes, obesity, hypertension, hypercholesterolemia, alcohol consumption, smoking, physical inactivity, diet, depression, cognitive inactivity). Associations of social determinants (living situation, marital status, social isolation, education, net equivalence income, occupational status, socioeconomic status/SES, employment) with LIBRA were inspected using age- and sex-adjusted multivariable linear regression analysis. Z-standardization and sampling weights were applied. Participants (n = 6203) were M = 57.4 (SD = 10.6, range 40–79) years old and without dementia, 53.0% were women. Except for marital status, all considered social determinants were significantly associated with LIBRA. Beta coefficients for the association with higher LIBRA scores were most pronounced for low SES (β = 0.80, 95% CI [0.72–0.88]; p < 0.001) and middle SES (β = 0.55, 95% CI [0.47–0.62]; p < 0.001). Social determinants, particularly socioeconomic factors, are associated with lifestyle for brain health, and should thus be addressed in risk reduction strategies for cognitive decline and dementia. A social-ecological public health perspective on risk reduction might be more effective and equitable than focusing on individual lifestyle behaviors alone.Item Estimating prevalence of subjective cognitive decline in and across international cohort studies of aging: a COSMIC study(BioMed Central Ltd, 2020-12-18) Röhr S; Pabst A; Riedel-Heller SG; Jessen F; Turana Y; Handajani YS; Brayne C; Matthews FE; Stephan BCM; Lipton RB; Katz MJ; Wang C; Guerchet M; Preux P-M; Mbelesso P; Ritchie K; Ancelin M-L; Carrière I; Guaita A; Davin A; Vaccaro R; Kim KW; Han JW; Suh SW; Shahar S; Din NC; Vanoh D; van Boxtel M; Köhler S; Ganguli M; Jacobsen EP; Snitz BE; Anstey KJ; Cherbuin N; Kumagai S; Chen S; Narazaki K; Ng TP; Gao Q; Gwee X; Brodaty H; Kochan NA; Trollor J; Lobo A; López-Antón R; Santabárbara J; Crawford JD; Lipnicki DM; Sachdev PS; for Cohort Studies of Memory in an International Consortium (COSMIC)Background Subjective cognitive decline (SCD) is recognized as a risk stage for Alzheimer’s disease (AD) and other dementias, but its prevalence is not well known. We aimed to use uniform criteria to better estimate SCD prevalence across international cohorts. Methods We combined individual participant data for 16 cohorts from 15 countries (members of the COSMIC consortium) and used qualitative and quantitative (Item Response Theory/IRT) harmonization techniques to estimate SCD prevalence. Results The sample comprised 39,387 cognitively unimpaired individuals above age 60. The prevalence of SCD across studies was around one quarter with both qualitative harmonization/QH (23.8%, 95%CI = 23.3–24.4%) and IRT (25.6%, 95%CI = 25.1–26.1%); however, prevalence estimates varied largely between studies (QH 6.1%, 95%CI = 5.1–7.0%, to 52.7%, 95%CI = 47.4–58.0%; IRT: 7.8%, 95%CI = 6.8–8.9%, to 52.7%, 95%CI = 47.4–58.0%). Across studies, SCD prevalence was higher in men than women, in lower levels of education, in Asian and Black African people compared to White people, in lower- and middle-income countries compared to high-income countries, and in studies conducted in later decades. Conclusions SCD is frequent in old age. Having a quarter of older individuals with SCD warrants further investigation of its significance, as a risk stage for AD and other dementias, and of ways to help individuals with SCD who seek medical advice. Moreover, a standardized instrument to measure SCD is needed to overcome the measurement variability currently dominant in the field.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 SObjectives 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.Item Predictors of psychological distress in Syrian refugees with posttraumatic stress in Germany(Public Library of Science (PLoS), 2021-08-04) Renner A; Jäckle D; Nagl M; Hoffmann R; Röhr S; Jung F; Grochtdreis T; Dams J; König H-H; Riedel-Heller S; Kersting ASyria has been the main country of citizenship of refugees in Germany since 2013. Syrians face numerous human rights violations in their country that can be accompanied by the experience of potentially traumatic events, loss and displacement. Along the migration process, refugees are exposed to various factors that can have an impact on mental health. The aim of this study is to investigate sociodemographic, war- and flight-related as well as post-migration factors as predictors of posttraumatic stress, depression, somatization and anxiety in Syrian refugees with posttraumatic stress symptoms based in Germany. Data were based on the baseline sample of the “Sanadak” randomized-controlled trial. A total of 133 adult Syrian refugees participated in the study. A questionnaire covered sociodemographic and flight-related questions as well as standardized instruments for symptoms of PTSD (PDS-5), depression (PHQ-9), somatization (PHQ-15), anxiety (GAD-7), generalized self-efficacy (GSE), religiousness (Z-Scale), social support (ESSI) and mental health stigma (SSMIS-SF). Linear regression models were executed to predict mental health outcomes. Sociodemographic predictors (i.e., female sex, higher education) and flight-related predicting factors (i.e., variability of traumatic events) have a negative impact on mental health in Syrian refugees with posttraumatic stress symptoms in Germany. Mental health stigma predicts worse mental health outcomes. Post-migration factors have a major impact on mental health, such as low income, lack of social support, low life satisfaction or a strongly felt connection to Syria. Somatization is an important manifestation of mental distress in Syrian refugees with posttraumatic stress symptoms. Our study showed a range of factors predicting the mental health of Syrian refugees with posttraumatic stress symptoms. Measures to foster mental health could be securing financial security, promoting gender equality and tailored psychosocial programs addressing mental health stigma, loss and social support networks.Item Social factors and the prevalence of social isolation in a population-based adult cohort(Springer-Verlag GmbH Germany, 2022-10) Röhr S; Wittmann F; Engel C; Enzenbach C; Witte AV; Villringer A; Löffler M; Riedel-Heller SGPurpose Social isolation has negative effects on physical and brain health across the lifespan. However, the prevalence of social isolation, specifically with regard to sociodemographic and socioeconomic factors, is not well known. Methods Database was the Leipzig population-based study of adults (LIFE-Adult Study, n = 10,000). The short form of the Lubben Social Network Scale (LSNS-6) was used to assess social isolation (cutoff < 12 points). Sampling weights were applied to account for differences in sampling fractions. Results Data were available for 9392 study participants; 51.6% were women, the mean age was 45.2 years (SD = 17.3). The prevalence of social isolation was 12.3% (95% CI 11.6–13.0) across ages 18–79 years. Social isolation was more prevalent in men (13.8%, 95% CI 12.8–14.8) compared to women (10.9%, 95% CI 10.0–11.8; (1) = 18.83, p < .001), and it showed an increase with increasing age from 5.4% (95% CI 4.7–6.0) in the youngest age group (18–39 years) to 21.7% (95% CI 19.5–24.0) in the oldest age group (70–79 years; (4) = 389.51, p < .001). Prevalence differed largely with regard to socioeconomic status (SES); showing lower prevalence in high SES (7.2%, 95% CI 6.0–8.4) and higher prevalence in low SES (18.6%, 95% CI 16.9–20.3; (2) = 115.78; p < .001). Conclusion More than one in ten individuals in the adult population reported social isolation, and prevalence varied strongly with regard to sociodemographic and socioeconomic factors. Social isolation was particularly frequent in disadvantaged socioeconomic groups. From a public health perspective, effective prevention of and intervention against social isolation should be a desired target as social isolation leads to poor health. Countermeasures should especially take into account the socioeconomic determinants of social isolation, applying a life-course perspective.