Alexandru Dregan

Adolescence Sleep Disturbances as Predictors of Adulthood Sleep Disturbances—A Cohort Study

PURPOSE The present study aimed to estimate whether sleep disturbances in adolescence predicted sleep disturbances in later years. METHOD Our sample included 7,781 cohort members from the United Kingdoms National Child Development Study. Sleep disturbances at ages 16, 23, 33, and 42 were measured by asking whether cohort members had difficulties in falling/maintaining sleep or waking unnecessarily early in the morning. RESULTS Multivariate regression analyses indicated that sleep disturbance at age 16 was a significant predictor of sleep disturbances at ages 23, 33, and 42. Continuity of a number of risk factors, especially depression, accounted for some of the persistence of sleep disturbances over time but did not explain a significant part of ongoing sleep disturbance. CONCLUSIONS Our findings suggest that many sleep disturbances start in adolescence and continue into later years.

Recent HbA1c Values and Mortality Risk in Type 2 Diabetes. Population-Based Case-Control Study

This study aimed to evaluate mortality within 365 days of HbA1c values of <6.5% or >9.0% in participants with clinical type 2 diabetes mellitus. A matched nested case-control study was implemented, within a cohort of participants with type 2 diabetes from 2000 to 2008. Conditional logistic regression was used to model the odds ratio for mortality adjusting for comorbidity and drug utilisation. There were 97,450 participants with type 2 diabetes; 16,585 cases that died during follow up were matched to 16,585 controls. The most recent HbA1c value was <6.5% (48 mmol/mol) for 22.2% of cases and 24.2% of controls, the HbA1c was >9.0% for 9.0% of cases and 7.7% of controls. In a complete case analysis, the adjusted odds ratio (AOR) for mortality associated with most recent HbA1c <6.5% was 1.31 (95% confidence interval (CI): 1.21,1.42). After multiple imputation of missing HbA1c values the AOR was 1.20 (CI: 1.12,1.28). The complete case analysis gave an AOR for HbA1c >9.0% of 1.51 (CI: 1.33, 1.70), in the multiple imputation analysis this was 1.29 (1.17,1.41). The risk associated with HbA1c <6.5% was age dependent. In the multiple imputation analysis the AOR was 1.53 (CI: 0.84 to 2.79) at age<55 years but 1.04 (CI: 0.92, 1.17) at age 85 years and over. In non-randomised data, values of HbA1c that are either <6.5% or >9.0% may be associated with increased mortality within one year in clinical type 2 diabetes. Relative risks may be higher at younger ages.

Age, cohort and period effects in the prevalence of sleep disturbances among older people: The impact of economic downturn

Using two longitudinal and nationally representative datasets, this study employs a cross-cohort analysis to examine age, cohort and period effects in the prevalence of sleep loss through worry for people over the age of 50 in the UK. The likelihood of reporting sleep loss through worry is calculated at two time-points for 7785 respondents from the Health and Activity Survey (HALs) and 21,834 respondents from the English Longitudinal Study of Ageing (ELSA), with baseline information on sleep loss through worry. Descriptive statistical methods were applied to determine the prevalence rates in sleep loss through worry at each survey within both datasets. The results of analysis reveal that sleep loss through worry declined with age, but this pattern was tempered by a temporary increase in the early 1990s. The contemporary economic downturn is suggested as a possible explanation for the significant increase in the prevalence of sleep loss through worry in 1991.

Cluster randomised trial in the General Practice Research Database: 1. Electronic decision support to reduce antibiotic prescribing in primary care (eCRT study)

BackgroundThe purpose of this research is to develop and evaluate methods for conducting cluster randomised trials in a primary care database that contains electronic patient records for large numbers of family practices. Cluster randomised trials are trials in which the units allocated represent groups of individuals, in this case family practices and their registered patients. Cluster randomised trials often suffer from the limitation that they include too few clusters, leading to problems of insufficient power and only imprecise estimation of the intraclass correlation coefficient, a key design parameter. This difficulty might be overcome by utilising databases that already hold electronic patient records for large numbers of practices. The protocol describes one application: a study of antibiotic prescribing for acute respiratory infection; a second protocol outlines an intervention in a less frequent chronic condition of public health importance, stroke.Methods/DesignThe objective of the study is to implement a cluster randomised trial to test the effectiveness of an electronic record-based intervention at achieving a reduction in antibiotic prescribing at consultations for respiratory illness in patients aged 18 and 59 years old in intervention family practices as compared with controls. Family practices will be recruited from the practices that presently contribute data to the UK General Practice Research Database (GPRD). Following randomisation, electronic prompts will be installed remotely at intervention practices to promote adherence with evidence-based standards of medical practice. The intervention was developed through qualitative research at non-intervention practices. Data for outcome assessment will be obtained from anonymised electronic patient records that are routinely collected into GPRD. This protocol outlines the proposed study designs, data sources, sample size requirements, analysis methods and dissemination plans. Ethical issues are also discussed.DiscussionResults from this study will provide methodological evidence concerning the use of electronic patient records and databases for implementing cluster randomised trials in primary care. The study will also provide substantive findings in respect of electronic record-based interventions to reduce antibiotic prescribing in primary care.Trial RegistrationCurrent Controlled Trials ISRCTN 47558792.

Utility of electronic patient records in primary care for stroke secondary prevention trials

BackgroundThis study aimed to inform the design of a pragmatic trial of stroke prevention in primary care by evaluating data recorded in electronic patient records (EPRs) as potential outcome measures. The study also evaluated achievement of recommended standards of care; variation between family practices; and changes in risk factor values from before to after stroke.MethodsData from the UK General Practice Research Database (GPRD) were analysed for 22,730 participants with an index first stroke between 2003 and 2006 from 414 family practices. For each subject, the EPR was evaluated for the 12 months before and after stroke. Measures relevant to stroke secondary prevention were analysed including blood pressure (BP), cholesterol, smoking, alcohol use, body mass index (BMI), atrial fibrillation, utilisation of antihypertensive, antiplatelet and cholesterol lowering drugs. Intraclass correlation coefficients (ICC) were estimated by family practice. Random effects models were fitted to evaluate changes in risk factor values over time.ResultsIn the 12 months following stroke, BP was recorded for 90%, cholesterol for 70% and body mass index (BMI) for 47%. ICCs by family practice ranged from 0.02 for BP and BMI to 0.05 for LDL and HDL cholesterol. For subjects with records available both before and after stroke, the mean reductions from before to after stroke were: mean systolic BP, 6.02 mm Hg; diastolic BP, 2.78 mm Hg; total cholesterol, 0.60 mmol/l; BMI, 0.34 Kg/m2. There was an absolute reduction in smokers of 5% and heavy drinkers of 4%. The proportion of stroke patients within the recommended guidelines varied from less than a third (29%) for systolic BP, just over half for BMI (54%), and over 90% (92%) on alcohol consumption.ConclusionsElectronic patient records have potential for evaluation of outcomes in pragmatic trials of stroke secondary prevention. Stroke prevention interventions in primary care remain suboptimal but important reductions in vascular risk factor values were observed following stroke. Better recording of lifestyle factors in the GPRD has the potential to expand the scope of the GPRD for health care research and practice.

Differences in Health at Age 100 According to Sex: Population-Based Cohort Study of Centenarians Using Electronic Health Records

To use primary care electronic health records (EHRs) to evaluate the health of men and women at age 100.

Incidence and mortality of relapsing polychondritis in the UK: a population-based cohort study

OBJECTIVE Relapsing polychondritis is a rare disease characterized by cartilage inflammation. Our aim was to estimate the incidence, prevalence and mortality of relapsing polychondritis and describe the clinical features of relapsing polychondritis in a large population. METHODS All participants diagnosed with relapsing polychondritis were sampled from the Clinical Practice Research Datalink. Prevalence and incidence rates for 1990-2012 were estimated. Relative mortality rates were estimated in a time-to-event framework using reference UK life tables. A questionnaire validation study assessed diagnostic accuracy. RESULTS There were 117 participants with relapsing polychondritis ever recorded. Fifty (82%) of 61 cases were validated by a physician and unconfirmed cases were excluded. The analysis included 106 participants (42 men, 64 women) diagnosed with relapsing polychondritis. The mean age (range) at diagnosis in men was 55 (range 17-81) years and in women 51 (range 11-79) years. The median interval from first symptom to diagnosis was 1.9 years. The incidence of relapsing polychondritis between 1990 and 2012 was 0.71 (95% CI 0.55, 0.91) per million population per year. There were 19 deaths from any cause. There were 16 observed deaths eligible for survival analysis and 7.4 deaths expected for the UK population of the same age, sex and period. The standardized mortality ratio was 2.16 (95% CI 1.24, 3.51), P < 0.01. Respiratory disease, cardiac conditions and cancer were the most frequent causes of death. CONCLUSION The incidence of relapsing polychondritis may be lower than previously estimated, and diagnostic misclassification and delay are common. Mortality in relapsing polychondritis is more than twice that of the general population.

Electronic Health Records for Intervention Research: A Cluster Randomized Trial to Reduce Antibiotic Prescribing in Primary Care (eCRT Study)

PURPOSE This study aimed to implement a point-of-care cluster randomized trial using electronic health records. We evaluated the effectiveness of electronically delivered decision support tools at reducing antibiotic prescribing for respiratory tract infections in primary care. METHODS Family practices from England and Scotland participating in the Clinical Practice Research Datalink (CPRD) were included in the trial; 53 family practices were allocated to intervention and 51 practices were allocated to usual care. Patients aged 18 to 59 years consulting for respiratory tract infections were eligible. The intervention was through remotely installed, computer-delivered decision support tools accessed during the consultations. Control practices provided usual care. The primary outcome was the proportion of consultations for respiratory tract infections with an antibiotic prescribed based on electronic health records. Family practice-specific proportions were included in a cluster-level analysis. RESULTS Data were analyzed for 603,409 patients: 317,717 at intervention practices and 285,692 at control practices. Use of the intervention was less than anticipated, varying among practices. There was a reduction in proportion of consultations with antibiotics prescribed of 1.85% (95% CI, 0.10%–3.59%, P = .038) and in the rate of antibiotic prescribing for respiratory tract infections (9.69%; 95% CI, 0.75%–18.63%, fewer prescriptions per 1,000 patient-years, P = .034). There were no adverse events. CONCLUSIONS Cluster randomized trials may be implemented efficiently in large samples from routine care settings by using primary care electronic health records. Future studies should develop and test multicomponent methods for remotely delivered intervention.

Comparison of a Sleep Item From the General Health Questionnaire-12 With the Jenkins Sleep Questionnaire as Measures of Sleep Disturbance

Background The objective of this study was to examine whether a widely available single-item measure of sleep disturbances is an acceptable alternative to a multi-item sleep questionnaire. Methods Data were derived from Finnish Helsinki Health Study postal questionnaires administered in 2000–2002 (n = 7777, response rate 67%). The measures were the 4-item Jenkins Sleep Questionnaire (JSQ) on difficulties initiating and maintaining sleep, and nonrestorative sleep, and an item on sleep loss due to worry, from the General Health Questionnaire-12 (GHQ-12). Receiver operating characteristics (ROC) curve analyses were done to compare the predictive performance of the GHQ-12 item with the JSQ scale. Using the above 2 measures of sleep, logistic regression models were used to examine associations between sociodemographic factors, working conditions, health-related factors, and sleep disturbance. Results The estimated area under the ROC curve was 0.68 among both women and men, which suggests that the ability of the GHQ-12 item to discriminate true positives from false positives was modest. However, the associations of sleep disturbance with its key determinants were largely similar using the GHQ-12 and the JSQ. Conclusions A widely available, GHQ-12-based, single-item sleep measure was not an adequate substitute for a multi-item measure of overall sleep disturbance. Although the measures produced largely similar associations for key determinants of poor sleep, the discrepancies between responses must be considered when analyzing data from a measure that uses a single sleep item.

Leisure-time physical activity over the life course and cognitive functioning in late mid-adult years: a cohort-based investigation

BACKGROUND The objective of the present study was to estimate the association between different leisure-time physical activity (LTPA) parameters from 11 to 50 years and cognitive functioning in late mid-adulthood. METHOD The study used a prospective birth cohort study including participants in the UK National Child Development Study (NCDS) from age 11 to 50 years. Standardized z scores for cognitive, memory and executive functioning at age 50 represented the primary outcome measures. Exposures included self-reported LTPA at ages 11, 16, 33, 42, 46 and 50 years. Analyses were adjusted for important confounders including educational attainment and long-standing illness. RESULTS The adjusted difference in cognition score between women who reported LTPA for at least 4 days/week in five surveys or more and those who never reported LTPA for at least 4 days/week was 0.28 [95% confidence interval (CI) 0.20-0.35], 0.10 (95% CI 0.01-0.19) for memory score and 0.30 (95% CI 0.23-0.38) for executive functioning score. For men, the equivalent differences were: cognition 0.12 (95% CI 0.05-0.18), memory 0.06 (95% CI -0.02 to 0.14) and executive functioning 0.16 (95% CI 0.10-0.23). CONCLUSIONS This study provides novel evidence about the lifelong association between LTPA and memory and executive functioning in mid-adult years. Participation in low-frequency and low-intensity LTPA was positively associated with cognitive functioning in late mid-adult years for men and women. The greatest benefit emerged from participating in lifelong intensive LTPA.