845 resultados para self-reported diabetes


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Screening by whole-body clinical skin examination may improve early diagnosis of melanoma and reduce mortality, but objective scientific evidence of this is lacking. As part of a randomized controlled trial of population screening for melanoma in Queensland, Australia, the authors assessed the validity of self-reported history of whole-body skin examination and factors associated with accuracy of recall among 2,704 participants in 2001. Approximately half of the participants were known to have undergone whole-body skin examination within the past 3 years at skin screening clinics conducted as part of the randomized trial. All positive and negative self-reports were compared with screening clinic records. Where possible, reports of skin examinations conducted outside the clinics were compared with private medical records. The validity of self-reports of whole-body skin examination in the past 3 years was high: Concordance between self-reports and medical records was 93.7%, sensitivity was 92.0%, and specificity was 96.3%. Concordance was lower (74.3%) for self-reports of examinations conducted in the past 12 months, and there was evidence of telescoping in recall for this more recent time frame. In multivariate analysis, women and younger participants more accurately recalled their history of skin examinations. Participants with a history of melanoma did not differ from other participants in their accuracy of recall.

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A large longitudinal dataset on women's health in Australia provided the basis of analysis of potential positive health effects of living with a companion animal. Age, living arrangements, and housing all strongly related to both living with companion animals and health. Methodological problems in using data from observational studies to disentangle a potential association in the presence of substantial effects of demographic characteristics are highlighted. Our findings may help to explain some inconsistencies and contradictions in the literature about the health benefits of companion animals, as well as offer suggestions for ways to more forward in future investigations of human-pet relationships.

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We investigate multiple-burden and multiple-attachment hypotheses for the association among marriage, parenthood, employment and health for Australian men and women. Using longitudinal data from the Australian panel survey, 'Negotiating the Lifecourse', we find that men and women employed full time report better health than those employed part time or not employed. Previously married women report worse health than married women, but there is no association between marital status and health for men. We also find that men with preschool children in the household report worse health than men with older children, whereas women with preschool children report better health than women with older children. In addition for women we find evidence of a role-burden where combining full-time employment and children has a negative impact on health, but combining children with part-time or no employment has a beneficial health effect. There are no health effects of combining roles for men.

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Concern remains regarding the efficacy of legal sanctions to reduce drink driving behaviours among repeat offenders. The present study examined the impact of traditional legal sanctions (e.g., fines and licence disqualification periods), nonlegal sanctions, alcohol consumption and the frequency of recent offending behaviour(s) on intentions to re-offend for a group of recidivist drink drivers (N=166). The analysis indicated that participants perceived legal sanctions to be severe, but not entirely certain nor swift. In addition, self-reported recent drink driving behaviours and alcohol consumption levels were identified as predictors of future intentions to drink and drive. The findings of the study confirm the popular assumption that some repeat offenders are impervious to the threat and application of legal sanctions and suggests that additional interventions such as alcohol treatment programs are required if the drinking and driving sequence is to be broken for this population. (c) 2005 Elsevier Ltd. All rights reserved.

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Many studies of quantitative and disease traits in human genetics rely upon self-reported measures. Such measures are based on questionnaires or interviews and are often cheaper and more readily available than alternatives. However, the precision and potential bias cannot usually be assessed. Here we report a detailed quantitative genetic analysis of stature. We characterise the degree of measurement error by utilising a large sample of Australian twin pairs (857 MZ, 815 DZ) with both clinical and self-reported measures of height. Self-report height measurements are shown to be more variable than clinical measures. This has led to lowered estimates of heritability in many previous studies of stature. In our twin sample the heritability estimate for clinical height exceeded 90%. Repeated measures analysis shows that 2-3 times as many self-report measures are required to recover heritability estimates similar to those obtained from clinical measures. Bivariate genetic repeated measures analysis of self-report and clinical height measures showed an additive genetic correlation > 0.98. We show that the accuracy of self-report height is upwardly biased in older individuals and in individuals of short stature. By comparing clinical and self-report measures we also showed that there was a genetic component to females systematically reporting their height incorrectly; this phenomenon appeared to not be present in males. The results from the measurement error analysis were subsequently used to assess the effects of error on the power to detect linkage in a genome scan. Moderate reduction in error (through the use of accurate clinical or multiple self-report measures) increased the effective sample size by 22%; elimination of measurement error led to increases in effective sample size of 41%.

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Normally ovulating women exhibit a decline in risk behaviours that may lead to sexual assault during the fertile phase of the menstrual cycle, whereas women using the Pill do not. The current study tests two explanatory models: the mood and fertility models. Self-reported risk and non-risk behaviours, mood, and risk perception in sexual assault and physical risk domains were assessed by testing fiftyone women at menstruation and during their fertile period. Based on the decline in risk behaviours shown in past research, the fertility model predicts that normally ovulating women will display greater risk perception during the fertile phase of their cycle. The mood model predicts that at menstruation, when negative mood is highest, risk perception will be increased and risk behaviours correspondingly reduced. Risk behaviours did not vary over the cycle or between groups. Overall, results support the mood model. Negative mood was greater at menstruation and positive mood during the fertile period for both groups, rational risk perception was correspondingly greater at menstruation. The fertility model was not supported as risk perception ratings did not vary in the expected direction and ratings were not specific to the sexual assault domain.

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The aim of this study was to determine the cues used to signal avoidance of difficult driving situations and to test the hypothesis that drivers with relatively poor high contrast visual acuity (HCVA) have fewer crashes than drivers with relatively poor normalised low contrast visual acuity (NLCVA). This is because those with poorer HCVA are well aware of their difficulties and avoid dangerous driving situations while those poorer NLCVA are often unaware of the extent of their problem. Age, self-reported situation avoidance and HCVA were collected during a practice based study of 690 drivers. Screening was also carried out on 7254 drivers at various venues, mainly motorway sites, throughout the UK. Age, self-reported situation avoidance and prior crash involvement were recorded and Titmus vision screeners were used to measure HCVA and NLCVA. Situation avoidance increased in reduced visibility conditions and was influenced by age and HCVA. Only half of the drivers used visual cues to signal situation avoidance and most of these drivers used high rather than low contrast cues. A statistical model designed to remove confounding interrelationships between variables showed, for drivers that did not report situation avoidance, that crash involvement decreased for drivers with below average HCVA and increased for those with below average NLCVA. These relationships accounted for less than 1% of the crash variance, so the hypothesis was not strongly supported. © 2002 The College of Optometrists.

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Previous work has determined relationships between provocation, anger rumination, and aggression in British athletes (Maxwell, 2004); however, the reliability of these findings and their generality across diverse cultures has not been examined. Therefore, a comparison of British and Hong Kong (HK) Chinese athletes’ propensity for rumination and aggression was undertaken. Provocation and thoughts of revenge were significantly associated with the self-reported aggression of both British and HK Chinese athletes. Frequency of aggression was similar across cultures except for a tendency for British male contact sport athletes to report greater frequency of aggressive behaviour. HK Chinese athletes tended to report higher frequencies of thoughts relating to understanding the causes of anger and higher incidence of perceived provocation. It was concluded that the pattern of aggressive behaviour was similar across the two cultures when opportunities for aggression are infrequent, but that HK Chinese athletes may inhibit aggressive responding even when opportunities are frequent.

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This study investigated whether Negative Affectivity (NA) causes bias in self-report measures of activity limitations or whether NA has a real, non-artifactual association with activity limitations. The Symptom Perception Hypothesis (NA negatively biases self-reporting), Disability Hypothesis (activity limitations cause NA) and Psychosomatic Hypothesis (NA causes activity limitations) were examined longitudinally using both self-report and objective activity limitations measures. Participants were 101 stroke patients and their caregivers interviewed within two weeks of discharge, six weeks later and six months post-discharge. NA and self-report, proxy-report and observed performance activity (walking) limitations were assessed at each interview. NA was associated with activity limitations across measures. Both the Disability and Psychosomatic Hypotheses were supported: initial NA predicted objective activity limitations at six weeks but, additionally, activity limitations at six weeks predicted NA at six months. These results suggest that NA both affects and is affected by activity limitations and does not simply influence reporting.

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Background: Parkinson’s disease (PD) is an incurable neurological disease with approximately 0.3% prevalence. The hallmark symptom is gradual movement deterioration. Current scientific consensus about disease progression holds that symptoms will worsen smoothly over time unless treated. Accurate information about symptom dynamics is of critical importance to patients, caregivers, and the scientific community for the design of new treatments, clinical decision making, and individual disease management. Long-term studies characterize the typical time course of the disease as an early linear progression gradually reaching a plateau in later stages. However, symptom dynamics over durations of days to weeks remains unquantified. Currently, there is a scarcity of objective clinical information about symptom dynamics at intervals shorter than 3 months stretching over several years, but Internet-based patient self-report platforms may change this. Objective: To assess the clinical value of online self-reported PD symptom data recorded by users of the health-focused Internet social research platform PatientsLikeMe (PLM), in which patients quantify their symptoms on a regular basis on a subset of the Unified Parkinson’s Disease Ratings Scale (UPDRS). By analyzing this data, we aim for a scientific window on the nature of symptom dynamics for assessment intervals shorter than 3 months over durations of several years. Methods: Online self-reported data was validated against the gold standard Parkinson’s Disease Data and Organizing Center (PD-DOC) database, containing clinical symptom data at intervals greater than 3 months. The data were compared visually using quantile-quantile plots, and numerically using the Kolmogorov-Smirnov test. By using a simple piecewise linear trend estimation algorithm, the PLM data was smoothed to separate random fluctuations from continuous symptom dynamics. Subtracting the trends from the original data revealed random fluctuations in symptom severity. The average magnitude of fluctuations versus time since diagnosis was modeled by using a gamma generalized linear model. Results: Distributions of ages at diagnosis and UPDRS in the PLM and PD-DOC databases were broadly consistent. The PLM patients were systematically younger than the PD-DOC patients and showed increased symptom severity in the PD off state. The average fluctuation in symptoms (UPDRS Parts I and II) was 2.6 points at the time of diagnosis, rising to 5.9 points 16 years after diagnosis. This fluctuation exceeds the estimated minimal and moderate clinically important differences, respectively. Not all patients conformed to the current clinical picture of gradual, smooth changes: many patients had regimes where symptom severity varied in an unpredictable manner, or underwent large rapid changes in an otherwise more stable progression. Conclusions: This information about short-term PD symptom dynamics contributes new scientific understanding about the disease progression, currently very costly to obtain without self-administered Internet-based reporting. This understanding should have implications for the optimization of clinical trials into new treatments and for the choice of treatment decision timescales.

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This study tested the multi-society generalizability of an eight-syndrome assessment model derived from factor analyses of American adults' self-ratings of 120 behavioral, emotional, and social problems. The Adult Self-Report (ASR; Achenbach and Rescorla 2003) was completed by 17,152 18-59-year-olds in 29 societies. Confirmatory factor analyses tested the fit of self-ratings in each sample to the eight-syndrome model. The primary model fit index (Root Mean Square Error of Approximation) showed good model fit for all samples, while secondary indices showed acceptable to good fit. Only 5 (0.06%) of the 8,598 estimated parameters were outside the admissible parameter space. Confidence intervals indicated that sampling fluctuations could account for the deviant parameters. Results thus supported the tested model in societies differing widely in social, political, and economic systems, languages, ethnicities, religions, and geographical regions. Although other items, societies, and analytic methods might yield different results, the findings indicate that adults in very diverse societies were willing and able to rate themselves on the same standardized set of 120 problem items. Moreover, their self-ratings fit an eight-syndrome model previously derived from self-ratings by American adults. The support for the statistically derived syndrome model is consistent with previous findings for parent, teacher, and self-ratings of 11/2-18-year-olds in many societies. The ASR and its parallel collateral-report instrument, the Adult Behavior Checklist (ABCL), may offer mental health professionals practical tools for the multi-informant assessment of clinical constructs of adult psychopathology that appear to be meaningful across diverse societies. © 2014 Springer Science+Business Media New York.