Efstathios Papachristou

Ability of Self-Reported Frailty Components to Predict Incident Disability, Falls, and All-Cause Mortality: Results From a Population-Based Study of Older British Men.

Background Frailty is a state of increased vulnerability to disability, falls, and mortality. The Fried frailty phenotype includes assessments of grip strength and gait speed, which are complex or require objective measurements and are challenging in routine primary care practice. In this study, we aimed to develop a simple assessment tool based on self-reported information on the 5 Fried frailty components to identify older people at risk of incident disability, falls, and mortality. Methods Analyses are based on a prospective cohort comprising older British men aged 71–92 years in 2010–2012. A follow-up questionnaire was completed in 2014. The discriminatory power for incident disability and falls was compared with the Fried frailty phenotype using receiver operating characteristic-area under the curve (ROC-AUC); for incident falls it was additionally compared with the FRAIL scale (fatigue, resistance, ambulation, illnesses, and loss of weight). Predictive ability for mortality was assessed using age-adjusted Cox proportional hazard models. Results A model including self-reported measures of slow walking speed, low physical activity, and exhaustion had a significantly increased ROC-AUC [0.68, 95% confidence interval (CI) 0.63–0.72] for incident disability compared with the Fried frailty phenotype (0.63, 95% CI 0.59–0.68; P value of ΔAUC = .003). A second model including self-reported measures of slow walking speed, low physical activity, and weight loss had a higher ROC-AUC (0.64, 95% CI 0.59–0.68) for incident falls compared with the Fried frailty phenotype (0.57, 95% CI 0.53–0.61; P value of ΔAUC < .001) and the FRAIL scale (0.56, 95% CI 0.52–0.61; P value of ΔAUC = .001). This model was also associated with an increased risk of mortality (Harrells C = 0.73, Somers D = 0.45; linear trend P < .001) compared with the Fried phenotype (Harrells C = 0.71; Somers D = 0.42; linear trend P < .001) and the FRAIL scale (Harrells C = 0.71, Somers D = 0.42; linear trend P < .001). Conclusions Self-reported information on the Fried frailty components had superior discriminatory and predictive ability compared with the Fried frailty phenotype for all the adverse outcomes considered and with the FRAIL scale for incident falls and mortality. These findings have important implications for developing interventions and health care policies as they offer a simple way to identify older people at risk of adverse outcomes associated with frailty.

Clozapine use in childhood and adolescent schizophrenia: A nationwide population-based study

Early onset schizophrenia (EOS) begins in childhood or adolescence. EOS is associated with poor treatment response and may benefit from timely use of clozapine. This study aimed to identify the predictors of clozapine use in EOS and characterize the clinical profile and outcome of clozapine-treated youths with schizophrenia. We conducted a nationwide population-based study using linked data from Danish medical registries. We examined all incident cases of EOS (i.e., cases diagnosed prior to their 18th birthday) between December 31st 1994 and December 31st 2006 and characterized their demographic, clinical and treatment profiles. We then used multivariable cox proportional hazard models to identify predictors of clozapine treatment in this patient population. We identified 662 EOS cases (1.9% of all schizophrenia cases), of whom 108 (17.6%) had commenced clozapine by December 31st 2008. Patients had on average 3 antipsychotic trials prior to clozapine initiation. The mean interval between first antipsychotic treatment and clozapine initiation was 3.2 (2.9) years. Older age at diagnosis of schizophrenia [HR=1.2, 95% CI (1.05-1.4), p=0.01], family history of schizophrenia [HR=2.1, 95% CI (1.1-3.04), p=0.02] and attempted suicide [HR=1.8, 95% CI (1.1-3.04), p=0.02] emerged as significant predictors of clozapine use. The majority of patients (n=96, 88.8%) prescribed clozapine appeared to have a favorable clinical response as indicated by continued prescription redemption and improved occupational outcomes. Our findings support current recommendations for the timely use of clozapine in EOS.

Self-reported hearing impairment and incident frailty in English community-dwelling older adults: a 4-year follow-up study

To examine the association between hearing impairment and incident frailty in older adults.

The Test Your Memory cognitive screening tool: sociodemographic and cardiometabolic risk correlates in a population-based study of older British men.

This study aimed to examine the association of Test Your Memory (TYM)‐defined cognitive impairment groups with known sociodemographic and cardiometabolic correlates of cognitive impairment in a population‐based study of older adults.

Comparative Evaluation of Child Behavior Checklist-Derived Scales in Children Clinically Referred for Emotional and Behavioral Dysregulation

Background We recently developed the Child Behavior Checklist-Mania Scale (CBCL-MS), a novel and short instrument for the assessment of mania-like symptoms in children and adolescents derived from the CBCL item pool and have demonstrated its construct validity and temporal stability in a longitudinal general population sample. Objective The aim of this study was to evaluate the construct validity of the 19-item CBCL-MS in a clinical sample and to compare its discriminatory ability to that of the 40-item CBCL-dysregulation profile (CBCL-DP) and the 34-item CBCL-Externalizing Scale. Methods The study sample comprised 202 children, aged 7–12 years, diagnosed with DSM-defined attention deficit hyperactivity disorder (ADHD), conduct disorder (CD), oppositional defiant disorder (ODD), and mood and anxiety disorders based on the Diagnostic Interview Schedule for Children. The construct validity of the CBCL-MS was tested by means of a confirmatory factor analysis. Receiver operating characteristics (ROC) curves and logistic regression analyses adjusted for sex and age were used to assess the discriminatory ability relative to that of the CBCL-DP and the CBCL-Externalizing Scale. Results The CBCL-MS had excellent construct validity (comparative fit index = 0.97; Tucker–Lewis index = 0.96; root mean square error of approximation = 0.04). Despite similar overall performance across scales, the clinical range scores of the CBCL-DP and the CBCL-Externalizing Scale were associated with higher odds for ODD and CD, while the clinical range scores of the CBCL-MS were associated with higher odds for mood disorders. The concordance rate among the children who scored within the clinical range of each scale was over 90%. Conclusion CBCL-MS has good construct validity in general population and clinical samples and is therefore suitable for both clinical practice and research.

Influence of Poor Oral Health on Physical Frailty: A Population-Based Cohort Study of Older British Men

To investigate the associations between objective and subjective measures of oral health and incident physical frailty.

Self-reported vision impairment and incident prefrailty and frailty in English community-dwelling older adults: findings from a 4-year follow-up study

Background Little is known about vision impairment and frailty in older age. We investigated the relationship of poor vision and incident prefrailty and frailty. Methods Cross-sectional and longitudinal analyses with 4-year follow-up of 2836 English community-dwellers aged ≥60 years. Vision impairment was defined as poor self-reported vision. A score of 0 out of the 5 Fried phenotype components was defined as non-frail, 1–2 prefrail and ≥3 as frail. Participants non-frail at baseline were followed-up for incident prefrailty and frailty. Participants prefrail at baseline were followed-up for incident frailty. Results 49% of participants (n=1396) were non-frail, 42% (n=1178) prefrail and 9% (n=262) frail. At follow-up, there were 367 new cases of prefrailty and frailty among those non-frail at baseline, and 133 new cases of frailty among those prefrail at baseline. In cross-sectional analysis, vision impairment was associated with frailty (age-adjustedandsex-adjusted OR 2.53, 95% CI 1.95 to 3.30). The association remained after further adjustment for wealth, education, cardiovascular disease, diabetes, falls, cognition and depression. In longitudinal analysis, compared with non-frail participants with no vision impairment, non-frail participants with vision impairment had twofold increased risks of prefrailty or frailty at follow-up (OR 2.07, 95% CI 1.32 to 3.24). The association remained after further adjustment. Prefrail participants with vision impairment did not have greater risks of becoming frail at follow-up. Conclusion Non-frail older adults who experience poor vision have increased risks of becoming prefrail and frail over 4 years. This is of public health importance as both vision impairment and frailty affect a large number of older adults.

Socioeconomic disadvantage across the life-course and oral health in older age: findings from a longitudinal study of older British men

Background The influence of life-course socioeconomic disadvantage on oral health at older ages is not well-established. We examined the influence of socioeconomic factors in childhood, middle-age and older age on oral health at older ages, and tested conceptual life-course models (sensitive period, accumulation of risk, social mobility) to determine which best described observed associations. Methods A representative cohort of British men aged 71-92 in 2010-12 included socioeconomic factors in childhood, middle-age and older age. Oral health assessment at 71-92 years (n = 1622) included tooth count, periodontal disease and self-rated oral health (excellent/good, fair/poor) (n = 2147). Life-course models (adjusted for age and town of residence) were compared with a saturated model using Likelihood-ratio tests. Results Socioeconomic disadvantage in childhood, middle-age and older age was associated with complete tooth loss at 71-92 years-age and town adjusted odds ratios (95% CI) were 1.39 (1.02-1.90), 2.26 (1.70-3.01), 1.83 (1.35-2.49), respectively. Socioeconomic disadvantage in childhood and middle-age was associated with poor self-rated oral health; adjusted odds ratios (95% CI) were 1.48 (1.19-1.85) and 1.45 (1.18-1.78), respectively. A sensitive period for socioeconomic disadvantage in middle-age provided the best model fit for tooth loss, while accumulation of risk model was the strongest for poor self-rated oral health. None of the life-course models were significant for periodontal disease measures. Conclusion Socioeconomic disadvantage in middle-age has a particularly strong influence on tooth loss in older age. Poor self-rated oral health in older age is influenced by socioeconomic disadvantage across the life-course. Addressing socioeconomic factors in middle and older ages are likely to be important for better oral health in later life.

OP25 Socioeconomic factors associated with frailty: results from two studies of older british populations

Background Frailty is a state of increased vulnerability to stressors in older age, which increases risks of disability, falls and mortality. Prevalence of frailty is very high in older populations. The extent to which socioeconomic factors are associated with frailty is less well studied. We investigated the extent to which socioeconomic factors at individual and area level are associated with frailty in two studies of older populations in the UK. Methods Data are from two studies of older populations: the British Regional Heart Study (BRHS) comprised a socially representative sample of men (n=1622) from 24 British towns aged 71–92 years in 2010–12; the English Longitudinal Study of Ageing (ELSA) comprised a representative sample of older men and women (n=5344) aged ≥60 years in 2004 from England. Using the Fried phenotype, frailty was defined by the presence of ≥3 of the following components: unintentional weight loss, low grip strength, low physical activity, slow walking pace and exhaustion. Socioeconomic measures included occupational social class and area-level deprivation was based on the Index of Multiple Deprivation (IMD). Logistic regressions models were used. Results Prevalence of frailty was 19% and 9% in the BRHS and ELSA populations respectively. In the BRHS sample, the risk of frailty increased from the highest (social class I) to lowest social class V; age-adjusted odds ratio was 1.18 (95% confidence interval (CI)=1.07–1.31) for each category from social class I to V, which remained significant on adjustment for smoking, history of cardiovascular disease (CVD) or diabetes, body mass index (BMI) and alcohol consumption. The risk of frailty also increased from the least (quintile 1) to most deprived IMD quintile (quintile 5); OR per quintile=1.19 (95% CI 1.08 to 1.30). This increased risk remained significant on further adjustment for covariates. Similarly, in the ELSA population of older men and women, frailty risk was greater in lower social classes (OR=1.21 (95% CI 1.16 to 1.27) for each group from highest to lowest social classes. Frailty risk was greater also in deprived quintiles (OR=1.35, 95% CI 1.28 to 1.43, for every increase in quintile of deprivation). These associations remained significant on adjustment for covariates. Conclusion Adverse socioeconomic factors are associated with risk of frailty in older populations. These associations were independent of lifestyle factors and comorbidities, and were observed both for individual and area-level socioeconomic factors. Socioeconomic factors are potentially important in reducing the burden of frailty in older people. These findings merit further investigation prospectively.

Early adolescent outcomes of joint developmental trajectories of problem behavior and IQ in childhood

General cognitive ability (IQ) and problem behavior (externalizing and internalizing problems) are variable and inter-related in children. However, it is unknown how they co-develop in the general child population and how their patterns of co-development may be related to later outcomes. We carried out this study to explore this. Using data from 16,844 Millennium Cohort Study children, we fitted three-parallel-process growth mixture models to identify joint developmental trajectories of internalizing, externalizing and IQ scores at ages 3–11 years. We then examined their associations with age 11 outcomes. We identified a typically developing group (83%) and three atypical groups, all with worse behavior and ability: children with improving behavior and low (but improving in males) ability (6%); children with persistently high levels of problems and low ability (5%); and children with worsening behavior and low ability (6%). Compared to typically developing children, the latter two groups were more likely to show poor decision-making, be bullies or bully victims, engage in antisocial behaviors, skip and dislike school, be unhappy and have low self-esteem. By contrast, children (especially males) in the improver group had outcomes that were similar to, or even better than, those of their typically developing peers. These findings encourage the development of interventions to target children with both cognitive and behavioral difficulties.