Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology.

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

Social and physical neighbourhood characteristics and 10-year incidence of depression and anxiety in older adults: Results from the Longitudinal Aging Study Amsterdam.

OBJECTIVE: A growing literature suggests that neighbourhood characteristics are associated with mental health outcomes, but the evidence in older adults is inconsistent. We investigated the association of neighbourhood characteristics, pertaining to demographic, socio-economic, social and physical environment domains, with the subsequent 10-year incidence of depression and anxiety, in Dutch older adults. METHODS: In the Longitudinal Aging Study Amsterdam depressive and anxiety symptoms were assessed four times between 2005/2006 and 2015/2016, using the Center for Epidemiological Studies Depression Scale (n = 1365) and the Anxiety subscale of the Hospital Anxiety and Depression Scale (n = 1420). Neighbourhood-level data on urban density, percent population over 65 years of age, percent immigrants, average house price, average income, percent low-income earners, social security beneficiaries, social cohesion, safety, proximity to retail facilities, housing quality, percent green space, percent water coverage, air pollution (particulate matter (PM2.5)), and traffic noise, were obtained for study baseline years 2005/2006. Cox proportional hazard regression models, clustered within neighbourhood, were used to estimate the association between each neighbourhood-level characteristic and the incidence of depression and anxiety. RESULTS: The incidence of depression and anxiety was 19.9 and 13.2 per 1000 person-years, respectively. Neighbourhood characteristics were not associated with the incidence of depression. However, various neighbourhood characteristics were associated with an increased incidence of anxiety, including: higher urban density level, higher percent immigrants, greater proximity to retail facilities, lower housing quality score, lower safety score, higher PM2.5 levels and less green space. CONCLUSION: Our results indicate that several neighbourhood characteristics are associated with anxiety but not with depression incidence in older age. Several of these characteristics have the potential to be modifiable and thus could serve as a target for interventions at the neighbourhood-level in improving anxiety, provided that future studies replicate our findings and provide further evidence for a causal effect.

Catastrophic health expenditure among Chinese adults living alone with cognitive impairment: findings from the CHARLS.

BACKGROUND: The catastrophic health expenditure of older adults results in serious consequences; however, the issue of whether cognitive status and living situations contribute to such financial burdens is uncertain. Our aim was to compare the differences in catastrophic health expenditure between adults living alone with cognitive impairment and those adults living with others and with normal cognition. METHODS: We identified 909 observations of participants living alone with cognitive impairment (cases) and 37,432 observations of participants living with others and with normal cognition (comparators) from the 2011/2012, 2013, 2015 and 2018 waves of the China Health and Retirement Longitudinal Study (CHARLS). We used propensity score matching (1:2) to create matched cases and comparators in a covariate-adjusted logistic regression analysis. Catastrophic health expenditure was defined as an out-of-pocket cost for health care ≥40% of a household's capacity to pay. RESULTS: In comparison with participants living with others and with normal cognition, those adults living alone with cognitive impairment reported a higher percentage of catastrophic health expenditure (19.5% vs. 11.8%, respectively, P < 0.001). When controlling for age, sex, education, marital status, residence areas, alcohol consumption, smoking status and disease counts, we found that this subpopulation had significantly higher odds of having catastrophic health expenditure (odds ratio [OR] = 1.89, 95% confidence interval [CI]: 1.40, 2.56). Additional analyses confirmed the robustness of the results. CONCLUSIONS: This study demonstrated that adults living alone with cognitive impairment in the CHARLS experienced a high burden of catastrophic health expenditure. Health care policies on social health insurance and medical assistance should consider these vulnerable adults.

Inequalities in Frailty Among Older Turkish and Moroccan Immigrants and Native Dutch: Data from the Longitudinal Aging Study Amsterdam.

Very few studies have investigated frailty among older immigrants in Europe. The aim of the current study was to investigate inequalities in frailty in young-olds related to gender, educational level and country of origin, as well as intersections between these characteristics. Cross-sectional data were used from older Turkish and Moroccan immigrants (n = 466) and native Dutch (n = 1,020), all aged 55-65 years and participating in the Longitudinal Aging Study Amsterdam. Frailty was assessed with a 30-item frailty index, based on the deficit accumulation approach. Frailty was higher among women, lower educated, and people with a migration background. Of all groups considered, frailty levels were the highest among Turkish immigrants. No statistically significant interaction effects between gender, educational level and country of origin were found. When targeting frailty interventions, special attention should be devoted to older immigrants, as they are the most vulnerable group with the highest frailty levels.

A narrative review of frailty assessment in older patients at the emergency department.

Optimizing emergency care for the aging population is an important future challenge, as the proportion of older patients at the emergency department (ED) rapidly increases. Older patients, particularly those who are frail, have a high risk of adverse outcomes after an ED visit, such as functional decline, institutionalization, and death. The ED can have a key position in identifying frail older patients who benefit most from comprehensive geriatric care [including delirium preventive measures, early evaluation of after-discharge care, and a comprehensive geriatric assessment (CGA)]. However, performing extensive frailty assessment is not suitable at the ED. Therefore, quick and easy-to-use instruments are needed to identify older patients at risk for adverse outcomes. This narrative review outlines the importance and complexity of frailty assessment at the ED. It aligns the available screening instruments, including clinical judgment as frailty assessment, and summarizes arguments for and against frailty assessment at the ED.

Occupational Exposures Associated with Life Expectancy without and with Disability.

Policies to extend working lives often do not take into account potentially important health inequalities arising from differences in occupational exposures. Little is known about which occupational exposures are associated with these inequalities. This study aims to examine differences in life expectancy without and with disability by occupational exposures. Longitudinal data (1992-2016) on disability and physical and psychosocial work demands and resources of 2513 (former) workers aged ≥55 years participating in the Longitudinal Aging Study Amsterdam were used. Gender specific life expectancies without and with disability by occupational exposures were calculated using multistate survival models. Women aged 55 years with high physical work demands had a lower life expectancy without disability than those with low exposure (1.02-1.57 years), whereas there was no difference for men. Men and women with high psychosocial work demands and resources had a longer life expectancy without disability than those with low exposure (1.19-2.14 years). Life expectancy with disability did not significantly differ across occupational exposures. Workers with higher psychosocial demands and resources and lower physical demands can expect to live more disability-free years. Information on occupational exposure helps to identify workers at risk for lower life expectancy, especially without disability, who may need specific support regarding their work environment.

Frailty: implications for clinical practice and public health.

Frailty is an emerging global health burden, with major implications for clinical practice and public health. The prevalence of frailty is expected to rise alongside rapid growth in the ageing population. The course of frailty is characterised by a decline in functioning across multiple physiological systems, accompanied by an increased vulnerability to stressors. Having frailty places a person at increased risk of adverse outcomes, including falls, hospitalisation, and mortality. Studies have shown a clear pattern of increased health-care costs and use associated with frailty. All older adults are at risk of developing frailty, although risk levels are substantially higher among those with comorbidities, low socioeconomic position, poor diet, and sedentary lifestyles. Lifestyle and clinical risk factors are potentially modifiable by specific interventions and preventive actions. The concept of frailty is increasingly being used in primary, acute, and specialist care. However, despite efforts over the past three decades, agreement on a standard instrument to identify frailty has not yet been achieved. In this Series paper, we provide an overview of the global impact and burden of frailty, the usefulness of the frailty concept in clinical practice, potential targets for frailty prevention, and directions that need to be explored in the future.

Neighbourhood characteristics and prevalence and severity of depression: pooled analysis of eight Dutch cohort studies.

BACKGROUND: Studies on neighbourhood characteristics and depression show equivocal results.AimsThis large-scale pooled analysis examines whether urbanisation, socioeconomic, physical and social neighbourhood characteristics are associated with the prevalence and severity of depression. METHOD: Cross-sectional design including data are from eight Dutch cohort studies (n = 32 487). Prevalence of depression, either DSM-IV diagnosis of depressive disorder or scoring for moderately severe depression on symptom scales, and continuous depression severity scores were analysed. Neighbourhood characteristics were linked using postal codes and included (a) urbanisation grade, (b) socioeconomic characteristics: socioeconomic status, home value, social security beneficiaries and non-Dutch ancestry, (c) physical characteristics: air pollution, traffic noise and availability of green space and water, and (d) social characteristics: social cohesion and safety. Multilevel regression analyses were adjusted for the individual's age, gender, educational level and income. Cohort-specific estimates were pooled using random-effects analysis. RESULTS: The pooled analysis showed that higher urbanisation grade (odds ratio (OR) = 1.05, 95% CI 1.01-1.10), lower socioeconomic status (OR = 0.90, 95% CI 0.87-0.95), higher number of social security beneficiaries (OR = 1.12, 95% CI 1.06-1.19), higher percentage of non-Dutch residents (OR = 1.08, 95% CI 1.02-1.14), higher levels of air pollution (OR = 1.07, 95% CI 1.01-1.12), less green space (OR = 0.94, 95% CI 0.88-0.99) and less social safety (OR = 0.92, 95% CI 0.88-0.97) were associated with higher prevalence of depression. All four socioeconomic neighbourhood characteristics and social safety were also consistently associated with continuous depression severity scores. CONCLUSIONS: This large-scale pooled analysis across eight Dutch cohort studies shows that urbanisation and various socioeconomic, physical and social neighbourhood characteristics are associated with depression, indicating that a wide range of environmental aspects may relate to poor mental health.Declaration of interestNone.

Trends across 20 years in multiple indicators of functioning among older adults in the Netherlands.

BACKGROUND: Monitoring of trends in functioning of older adults provides indispensable information for health care policy. This study examined trends in multiple indicators of functioning among Dutch older adults across a period of 20 years. METHODS: Data from the Longitudinal Aging Study Amsterdam were used. We included 10 870 observations of 3803 respondents aged 64-84 years across seven waves (1992-12) and 931 observations of 603 respondents aged 85-94 years across four waves (2001-12). At each wave, 8 indicators of functioning were measured: multimorbidity, severe functional limitations, depression, anxiety, cognitive impairment, physical inactivity, loneliness and social isolation. In addition, a sum score (range: 0-8) of these indicators was calculated, with a score of ≥5 indicating 'multiple problems.' Trends in functioning over time were assessed using Generalized Estimating Equation analyses. RESULTS: In the 64-84-years-olds, the prevalence of multimorbidity increased over time [OR(year) = 1.06, 95% CI = 1.05-1.06], whereas the prevalence of the other indicators decreased [i.e. cognitive impairment, physical inactivity (in women) and loneliness (in women)] or remained stable [i.e. severe functional limitations, depression, anxiety, physical inactivity (in men), loneliness (in men) and social isolation]. In the 85-94-year-olds, the prevalence of severe functional limitations increased over time [OR(year) = 1.08, 95% CI = 1.02-1.13], whereas the prevalence of the other indicators remained stable. In both age groups, the prevalence of 'multiple problems' remained stable. CONCLUSION: Unfavorable trends were observed in multimorbidity among 64-84-years-olds and in severe functional limitations among 85-94-year-olds. Favorable trends were found in cognitive impairment, physical inactivity (in women) and loneliness (in women) among 64-84-years-olds.

Socioeconomic inequalities in frailty among older adults in six low- and middle-income countries: Results from the WHO Study on global AGEing and adult health (SAGE).

OBJECTIVES: The aim of this study was to investigate socioeconomic inequalities in frailty among older adults in six low- and middle-income countries (LMICs), and to examine to what extent chronic diseases account for these inequalities. STUDY DESIGN: Data were used from the Study on global AGEing and adult health (SAGE) wave 1 (2007-2010). Nationally representative samples of adults aged 50+ years from China, Ghana, India, Mexico, the Russian Federation and South Africa were analyzed (n = 31,174). MAIN OUTCOME MEASURES: Educational level and wealth were used as socioeconomic indicators. Frailty was assessed with modified criteria for the frailty phenotype. Self-reported disease diagnoses were used. A relative index of inequality (RII) was calculated to compare socioeconomic inequalities in frailty between countries. RESULTS: People in lower socioeconomic positions had higher prevalence rates of frailty. The largest inequalities in frailty were found in Mexico (RII 3.7, 95% CI 2.1-6.4), and the smallest inequalities in Ghana (RII 1.1, 95% CI 0.7-1.8). Mediation analyses revealed that the chronic diseases considered in this study do not explain the higher prevalence of frailty seen in lower socioeconomic groups. CONCLUSIONS: Substantial socioeconomic inequalities in frailty were observed in LMICs, but additional research is needed to find explanations for these. Given that the population of older adults in many LMICs is expanding at a greater rate than in many high-income countries, our results indicate an urgent public health need to address frailty in these countries.

Socioeconomic Inequalities in Frailty among Older Adults: Results from a 10-Year Longitudinal Study in the Netherlands.

BACKGROUND: Frailty is an important risk factor for adverse outcomes in older people. Substantial variation in frailty prevalence between socioeconomic groups exists, but longitudinal evidence for the association between socioeconomic position (SEP) and frailty is scarce. OBJECTIVE: To investigate the course of socioeconomic inequalities in frailty among older adults during 10 years of follow-up. METHODS: Data were used from the Longitudinal Aging Study Amsterdam (n = 1,509). Frailty was measured with the functional domains approach, based on deficiencies in four domains: physical, nutritive, cognitive, and sensory. Mixed-model analyses were performed to estimate the course of frailty and its association with SEP during a 10-year follow-up. We investigated whether similar patterns of associations held in different scenarios, comparing results of survivor analyses with those based on two imputation methods accounting for dropout due to death (substitution of first missing value and missing values imputed with a prediction model). RESULTS: All scenarios showed a linear increase in frailty with aging (survivor analyses OR = 1.87, 95% CI = 1.66-2.11) and associations of low education and low income with frailty (adjusted OR for low education = 1.76, 95% CI = 1.05-2.97; adjusted OR for low income = 1.90, 95% CI = 1.20-3.01; both for survivor analyses). Sex-stratified analyses indicated that socioeconomic inequalities were mainly present in men, not in women. Similar patterns of associations of SEP with frailty were observed in all scenarios, but the increase in frailty prevalence over time differed substantially between the scenarios. There were no statistically significant interactions between time and SEP on frailty (all scenarios), suggesting that inequalities in frailty did not increase or decrease during follow-up. CONCLUSION: SEP inequalities in frailty among older adults were observed, mainly among men, and persisted during 10 years of follow-up.

Use of health resources and healthcare costs associated with nutritional risk: The FRADEA study.

BACKGROUND: In spite of its high prevalence and its clinical relevance, the economic impact of malnutrition has not been sufficiently explored. OBJECTIVE: To study whether malnutrition predicts total hospital healthcare costs and costs related to specialist visits, emergency department visits and hospitalization in older adults. METHODS: Concurrent cohort study in Albacete City, Spain. The study sample included 827 subjects aged 70 and over from the FRADEA Study. Mini Nutritional Assessment®-Short Form (MNA®-SF) was recorded at baseline. Use of hospital resources (hospital admissions, emergency visits, and specialist visits), and hospital healthcare costs were recorded at follow-up. Generalized linear models (GLM) adjusted for age, sex, comorbidity, polypharmacy, and disability in basic activities of daily living were used to estimate the impact of nutritional factors on total healthcare costs per person/year (€ base year 2013) as well as specialist visit costs, emergency department visit costs and hospitalization costs. RESULTS: The average cost associated with the use of health resources was 1922€/year. Subjects with MNA®-SF between 0 and 7 had an average total health cost of 3492€/year, 2744€/year in those with MNA®-SF between 8 and 11, and 1542€/year in those with MNA®-SF between 12 and 14. Of the total health cost, 67.2% was associated with hospital admission costs. Adjusted healthcare costs were 714€/year greater in subjects with malnutrition or nutritional risk. Subjects with malnutrition or nutritional risk presented an increased adjusted risk of hospitalization (OR1.72, 95% CI 1.22-2.43). CONCLUSIONS: Malnutrition assessed by MNA®-SF is a prognostic factor of high healthcare cost and use of resources in older adults.

Additional Cost Because of Pneumonia in Nursing Home Residents: Results From the Incidence of Pneumonia and Related Consequences in Nursing Home Resident Study.

OBJECTIVES: Pneumonia is a frequent condition in older people. Our aim was to examine the total healthcare cost related to pneumonia in nursing home (NH) residents over a 1-year follow-up period. DESIGN: This was a prospective, longitudinal, observational, and multicenter study that was a part of the Incidence of Pneumonia and related Consequences in Nursing Home Resident study. SETTING: Thirteen NHs located in Languedoc Roussillon and Midi-Pyrénées regions in France were included. PARTICIPANTS: Resident in NH, older than 60 years and had a group iso-resource score ranging from 2 to 5. MEASUREMENTS: Pneumonia events were characterized according to the Observatoire du Risque Infectieux en Geriatrie criteria. Direct medical and nonmedical costs were assessed from the French health insurance perspective. Healthcare resources was retrospectively gathered from the French Social Health Insurance database and valued using the tariffs reimbursed by the French health insurance. Sociodemographic variables, clinical factors, vaccinations, cognition, depression, functional status, frailty index, as well as group iso-resource score were also recorded. RESULTS: Among the 800 patients initially included in the Incidence of Pneumonia and Related Consequences in Nursing Home Resident study, 345 which were listed in the database of the French Social Health Insurance were included in this economic study. Among them, 64 (18%) experienced at least 1 episode of pneumonia during the 1-year follow-up period. Mean annual total additional cost for a patient who experienced at least 1 episode of pneumonia during the 1 year follow-up period is 2813€. On average, total annual costs increased by 60% to 93% when a patient experienced at least 1 episode of pneumonia. CONCLUSIONS: NH-acquired pneumonia has a great impact on total cost of care for NH residents. Our results suggest the potential economic savings that could be achieved if pneumonia could be prevented in NHs.

The Longitudinal Aging Study Amsterdam: cohort update 2016 and major findings.

The Longitudinal Aging Study Amsterdam (LASA) is an ongoing longitudinal study of older adults in the Netherlands, which started in 1992. LASA is focused on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. The study is based on a nationally representative sample of older adults aged 55 years and over. The findings of the LASA study have been reported in over 450 publications so far (see www.lasa-vu.nl ). In this article we describe the background and the design of the LASA study, and provide an update of the methods. In addition, we provide a summary of the major findings from the period 2011-2015.

How the Frailty Index May Support the Allocation of Health Care Resources: An Example From the INCUR Study.

BACKGROUND: The Frailty Index (FI), proposed by Rockwood and Mitniski, measures the deficits accumulation occurring with aging, and can be generated from the results of a comprehensive clinical assessment. Its construct (based on pure arithmetical assumptions) may represent a unique feature for supporting unbiased comparisons among clinical facilities/services. OBJECTIVE: To propose an example depicting how the FI may support health economic evaluations and provide insights for public health. DESIGN: Observational study. SETTING: Nine nursing homes participating in the "Incidence of pNeumonia and related ConseqUences in nursing home Residents" (INCUR) study. SUBJECTS: A sample of 345 older persons living in nursing homes. METHODS: A 30-item FI was generated from clinical data retrieved from medical charts. Health care expenditures that occurred over 12 months of follow-up for each participant were obtained from the Caisse Primaire d'Assurance Maladie. Descriptive analyses describing the relationships between the FI of residents with the annual health care expenditures according to nursing home are presented. RESULTS: Mean age of the study sample was 86.0 (SD 7.9) years. The median annual cost per patient was 27,717.75 (interquartile range, IQR 25,917.60-32,118.02) Euros. The median FI was 0.33 (IQR 0.27-0.43). Results are graphically presented to highlight clinical and economic differences across nursing homes, so as to identify potential discrepancies between clinical burden and consumed resources. CONCLUSIONS: In this article, an example on how the FI may support health economic analyses and promote an improved allocation of healthcare resources is presented.

Cost-Effectiveness of a Chronic Care Model for Frail Older Adults in Primary Care: Economic Evaluation Alongside a Stepped-Wedge Cluster-Randomized Trial.

OBJECTIVES: To evaluate the cost-effectiveness of the Geriatric Care Model (GCM), an integrated care model for frail older adults based on the Chronic Care Model, with that of usual care. DESIGN: Economic evaluation alongside a 24-month stepped-wedge cluster-randomized controlled trial. SETTING: Primary care (35 practices) in two regions in the Netherlands. PARTICIPANTS: Community-dwelling older adults who were frail according to their primary care physicians and the Program on Research for Integrating Services for the Maintenance of Autonomy case-finding tool questionnaire (N = 1,147). INTERVENTION: The GCM consisted of the following components: a regularly scheduled in-home comprehensive geriatric assessment by a practice nurse followed by a customized care plan, management and training of practice nurses by a geriatric expert team, and coordination of care through community network meetings and multidisciplinary team consultations of individuals with complex care needs. MEASUREMENTS: Outcomes were measured every 6 months and included costs from a societal perspective, health-related quality of life (Medical Outcomes Study 12-item Short-Form Survey (SF-12) physical (PCS) and mental component summary (MCS) scales), functional limitations (Katz activities of daily living and instrumental activities of daily living), and quality-adjusted life years based on the EQ-5D. RESULTS: Multilevel regression models adjusted for time and baseline confounders showed no significant differences in costs ($356, 95% confidence interval = -$488-1,134) and outcomes between intervention and usual care phases. Cost-effectiveness acceptability curves showed that, for the SF-12 PCS and MCS, the probability of the intervention being cost-effective was 0.76 if decision-makers are willing to pay $30,000 per point improvement on the SF-12 scales (range 0-100). For all other outcomes the probability of the intervention being cost-effective was low. CONCLUSION: Because the GCM was not cost-effective compared to usual care after 24 months of follow-up, widespread implementation in its current form is not recommended.

Do psychosocial resources modify the effects of frailty on functional decline and mortality?

OBJECTIVE: Little is known about factors that may prevent or delay adverse health outcomes in frail older adults. Previous studies have demonstrated beneficial effects of psychosocial resources on health outcomes in older adults. The aim of this study was to investigate whether psychosocial resources modify the effects of frailty on functional decline and mortality. METHODS: The study sample consisted of 1665 men and women aged 58 and over from two waves of the Longitudinal Aging Study Amsterdam (LASA), a population based study. Frailty and psychosocial resources were assessed at T1 (2005/2006). Frailty was assessed using the criteria of Fried's phenotype. Psychosocial resources included sense of mastery, self-efficacy, instrumental support and emotional support. Functional decline and mortality were assessed at T2 (2008/2009). RESULTS: Results of logistic regression analyses demonstrated that frail older adults had higher odds of both functional decline (OR=2.63, 95% CI=1.61-4.27) and 3-year mortality (OR=3.17, 95% CI=1.95-5.15). After adjustment for covariates, higher levels of mastery and self-efficacy were associated with decreased odds of functional decline, but not mortality. No statistically significant interaction effects between frailty and psychosocial resources were found for either functional decline or mortality. CONCLUSION: This study found no evidence that psychosocial resources buffer against functional decline and mortality in frail older adults.

Self-perceived met and unmet care needs of frail older adults in primary care.

In order to provide adequate care for frail older adults in primary care it is essential to have insight into their care needs. Our aim was to describe the met and unmet care needs as perceived by frail older adults using a multi-dimensional needs assessment, and to explore their associations with socio-demographic and health-related characteristics. Cross-sectional baseline data were used from the Frail older Adults: Care in Transition (ACT) study in the Netherlands, consisting of 1137 community dwelling frail older adults aged 65 and above. Patients were recruited through 35 primary care practices. Self-perceived care needs were assessed using the Camberwell Assessment of Need for the Elderly (CANE). Socio-demographic characteristics included age, sex, partner status and educational level. Health-related characteristics included functional capacity, hospital admissions, chronic diseases and the degree of frailty. Frail older adults reported on average 4.2 care needs out of 13 CANE topics, of which 0.5 were unmet. The physical and environmental domain constituted the highest number of needs, but these were mostly met. Unmet needs were mainly found in the psychosocial domain. Regression analyses revealed that Activities of Daily Living (ADL) limitations and a higher frailty score were the most important determinants of both met and unmet care needs. A younger age and a higher educational level were associated with the presence of unmet care needs. In conclusion, most frail older adults in primary care report to receive sufficient help for their physical needs. More attention should be paid to their psychosocial needs.