Oral Health - A Neglected Aspect of Subjective Well-Being in Later Life

OBJECTIVES: This study examined whether oral health is a neglected aspect of subjective well-being (SWB) among older adults. The key research question was whether deterioration in oral health among dentate older adults living in England was associated with decreases in SWB, using measures of eudemonic, evaluative, and affective dimensions of well-being. METHODS: This secondary analysis used data from the third (2006-2007) and fifth (2010-2011) waves of respondents aged 50 and older from the English Longitudinal Study of Ageing (ELSA). We fitted multivariable regression models to examine the effects of changes in oral impacts on daily life and edentulism (complete tooth loss) on SWB (quality of life, life satisfaction, and depressive symptomatology). RESULTS: A worsening in both oral health measures was associated with an increase in depressive symptoms even after adjusting for time-varying confounders including declining health, activities of daily living, and reduced social support. Becoming edentate was also associated with decreases in quality of life and life satisfaction. DISCUSSION: A deterioration in oral health and oral health-related quality of life increases the risk of depressive symptoms among older adults and highlights the importance of oral health as a determinant of subjective well-being in later life

The effect of housing on the mental health of older people: the impact of lifetime housing history in Whitehall II

Background: This study describes differences in trajectories of self-reported mental health in an ageing cohort, according to their housing, while controlling for confounders.Methods: The General Health Questionnaire was measured on six occasions as part of Whitehall II cohort study of office-based British civil servants (1985-2009); 10,308 men and women aged 35-55 at baseline.Results: Home-ownership was the predominant tenure at baseline and increased over the life-course, but the social gradient remained. In the bivariate analysis, by phase nine, renters had higher (poorer mental health) GHQ scores (55.48) than owner occupiers (51.98). Those who reported difficulty paying bills or problems with housing had higher GHQ scores at baseline (financial difficulties 57.70 vs 54.34; house problems 58.06 vs 53.99) and this relative difference increased by phase nine (financial difficulties 59.64 vs 51.67; house problems 56.68 vs 51.22). In multivariate models, the relative differences in GHQ scores by tenure increased with age, but were no longer significant after adjusting for confounders. Whereas GHQ scores for those with housing problems and financial difficulties were still significantly higher as participants grew older.Conclusion: The social gradient in the effect of home ownership on mental health, which is evident at baseline, diminishes as people get older, whereas housing quality and financial problems become relatively more important in explaining older people's health. Inequalities in housing quality and ability to deal with household financial problems will become increasingly important mental health issues as the population ages

The Role of Facets of Job Satisfaction in the National and Socioeconomic Differences in Overall Job Satisfaction: A Comparison Between Studies of Civil Servants in Great Britain and Japan

OBJECTIVE: To explore national and socioeconomic differences in overall job satisfaction, we examined whether those differences can be explained by what job-related factors. METHODS: Our datasets for this study are from the Whitehall II study and the Japan Civil Servant Study. Of the participants who were 5540 cases, with 3250 people from Great Britain and 2290 from Japan. RESULTS: The odds ratio for job dissatisfaction was more than double in Japan compared with Britain. However, after adjusting the related factors-especially the facets of job satisfaction variables-the difference was reversed. Also, regarding the occupational differences, lower occupational grades had lower risks of overall job dissatisfaction, after adjusting for related factors. CONCLUSIONS: The national and socioeconomic differences in overall job satisfaction were strongly related to facets of job satisfaction rather than job stress factors

Socioeconomic and ethnic inequalities in oral health among children and adolescents living in England, Wales and Northern Ireland

OBJECTIVES: Although adolescence is a sensitive developmental period in oral health, the social equalization hypothesis that suggests health inequalities attenuate in adolescence has not been examined. This study analyses whether the socioeconomic gap and ethnic disadvantage in oral health among children aged 5 reduces among adolescents aged 15. METHODS: Data from the cross-sectional Children's Dental Health Survey 2013 were analysed, comprising of 8541 children aged 5, 8, 12 and 15 attending schools in England, Wales and Northern Ireland. Oral health indicators included decayed and filled teeth, plaque, gingivitis and periodontal health. Ethnicity was measured using the 2011 UK census ethnic categories. Socioeconomic position was measured by family, school and residential deprivation. Negative binomial and probit regression models estimated the levels of oral health by ethnicity and socioeconomic position, adjusted for demographic and tooth characteristics. RESULTS: The predicted rate of decayed teeth for White British/Irish children aged 5 was 1.54 (95%CI 1.30-1.77). In contrast, the predicted rate for Indian and Pakistani children was about 2-2.5 times higher. At age 15, ethnic differences had reduced considerably. Family deprivation was associated with higher levels of tooth decay among younger children but not among adolescents aged 15. The influence of residential deprivation on the rate of tooth decay and filled teeth was similar among younger and older children. Moreover, inequalities in poor periodontal health by residential deprivation was significantly greater among 15-year-old children compared to younger children. CONCLUSIONS: This study found some evidence of smaller ethnic and family socioeconomic differences in oral health among British adolescents compared to younger children. However, substantial differences in oral health by residential deprivation remain among adolescents. Community levels of deprivation may be particularly important for the health of adolescents

Innovative approaches to methodological challenges facing ageing cohort studies: policy briefing note

Ageing cohort studies around the world face common methodological challenges of data collection, measurement and analysis, which become increasingly problematic as participants grow older. While these challenges are common to all longitudinal studies, ageing cohort studies in particular highlight complex methodological issues due to the nature of the population. The National Centre for Research Methods (NCRM) funded a series of workshops during 2012 that brought together experts and researchers in longitudinal and ageing cohort studies to discuss some of these methodological challenges. The series was divided into workshops around the challenges of data collection, measurement and analysis in ageing cohort studies. The workshops and international conference brought together over 150 researchers working primarily in the social and medical sciences. Within the social sciences, social statistics and sociology were the main disciplines represented; while within the medical sciences, epidemiology and gerontology were the main disciplines. Principal investigators and researchers from a number of ageing cohort studies attended the events, including the 1946, 1958, 1970 British Birth Cohort studies, English Longitudinal Study of Ageing (ELSA), Whitehall II study, the Cognitive Function and Ageing Studies, the Gas and Electricity Workers cohort study (GAZEL) and the Lothian birth cohort. There were presentations from early career researchers at all the events. These workshops were successful in generating discussions about the methodological contributions from different disciplines on the challenges related to data collection and analysis for ageing cohort studies. The seminar series was responsive to suggestions from attendees, for example, the theme of workshop 2 emerged from discussions at workshop 1. The themes of the conference and related training workshops emerged from the evaluations from previous workshops. Evaluations for each event were very positive, with a strong appreciation for the training workshops. Attendees were very appreciative of the provision of STATA .do files for complex analyses and they indicated a strong preference for more training events on the topics of missing data and life course analysis. This report summarises some of the work underlying the workshops and highlights some of the innovative solutions researchers have adopted to overcome these challenges. These include using mixed modes of data collection to deal with respondent burden, using the Life Grid history method to deal with recall bias for proxy respondents, using auxiliary variables to adjust for ‘missing not at random’ mechanisms, and using a range of missing data analysis methods and simulation studies to assess the performance of a different analytical strategies to deal with missing data

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

One-class support vector machine (OC-SVM) for a long time has been one of the most effective anomaly detection methods and extensively adopted in both research as well as industrial applications. The biggest issue for OC-SVM is yet the capability to operate with large and high-dimensional datasets due to optimization complexity. Those problems might be mitigated via dimensionality reduction techniques such as manifold learning or autoencoder. However, previous work often treats representation learning and anomaly prediction separately. In this paper, we propose autoencoder based one-class support vector machine (AE-1SVM) that brings OC-SVM, with the aid of random Fourier features to approximate the radial basis kernel, into deep learning context by combining it with a representation learning architecture and jointly exploit stochastic gradient descent to obtain end-to-end training. Interestingly, this also opens up the possible use of gradient-based attribution methods to explain the decision making for anomaly detection, which has ever been challenging as a result of the implicit mappings between the input space and the kernel space. To the best of our knowledge, this is the first work to study the interpretability of deep learning in anomaly detection. We evaluate our method on a wide range of unsupervised anomaly detection tasks in which our end-to-end training architecture achieves a performance significantly better than the previous work using separate training.Comment: Accepted at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 201

The interactive role of income (material position) and income rank (psychosocial position) in psychological distress : a 9-year longitudinal study of 30,000 UK parents

Purpose Parents face an increased risk of psychological distress compared with adults without children, and families with children also have lower average household incomes. Past research suggests that absolute income (material position) and income status (psychosocial position) influence psychological distress, but their combined effects on changes in psychological distress have not been examined. Whether absolute income interacts with income status to influence psychological distress are also key questions. Methods We used fixed-effects panel models to examine longitudinal associations between psychological distress (measured on the Kessler scale) and absolute income, distance from the regional mean income, and regional income rank (a proxy for status) using data from 29,107 parents included in the UK Millennium Cohort Study (2003–2012). Results Psychological distress was determined by an interaction between absolute income and income rank: higher absolute income was associated with lower psychological distress across the income spectrum, while the benefits of higher income rank were evident only in the highest income parents. Parents’ psychological distress was, therefore, determined by a combination of income-related material and psychosocial factors. Conclusions Both material and psychosocial factors contribute to well-being. Higher absolute incomes were associated with lower psychological distress across the income spectrum, demonstrating the importance of material factors. Conversely, income status was associated with psychological distress only at higher absolute incomes, suggesting that psychosocial factors are more relevant to distress in more advantaged, higher income parents. Clinical interventions could, therefore, consider both the material and psychosocial impacts of income on psychological distress

Prediction of bullying at work: A data-driven analysis of the Finnish public sector cohort study

AIM: To determine the extent to which change in (i.e., start and end of) workplace bullying can be predicted by employee responses to standard workplace surveys. METHODS: Responses to an 87-item survey from 48,537 Finnish public sector employees at T1 (2017–2018) and T2 (2019–2020) were analyzed with least-absolute-shrinkage-and-selection-operator (LASSO) regression. The predictors were modelled both at the individual- and the work unit level. Outcomes included both the start and the end of bullying. Predictive performance was evaluated with C-indices and density plots. RESULTS: The model with best predictive ability predicted the start of bullying with individual-level predictors, had a C-index of 0.68 and included 25 variables, of which 6 remained in a more parsimonious model: discrimination at work unit, unreasonably high workload, threat that some work tasks will be terminated, working in a work unit where everyone did not feel they are understood and accepted, having a supervisor who was not highly trusted, and a shorter time in current position. Other models performed even worse, either from the point of view of predictive performance, or practical useability. DISCUSSION: While many bivariate associations between socioeconomic characteristics, work characteristics, leadership, team climate, and job satisfaction were observed, reliable individualized detection of individuals at risk of becoming bullied at workplace was not successful. The predictive performance of the developed risk scores was suboptimal, and we do not recommend their use as an individual-level risk prediction tool. However, they might be useful tool to inform decision-making when planning the contents of interventions to prevent bullying at an organizational level

Reaction time and incident cancer: 25 years of follow-up of study members in the UK Health and Lifestyle Survey

<b>Objectives</b><p></p> To investigate the association of reaction time with cancer incidence.<p></p> <b>Methods</b><p></p> 6900 individuals aged 18 to 94 years who participated in the UK Health and Lifestyle Survey in 1984/1985 and were followed for a cancer registration for 25 years.<p></p> <b>Results</b><p></p> Disease surveillance gave rise to 1015 cancer events from all sites. In general, there was essentially no clear pattern of association for either simple or choice reaction time with cancer of all sites combined, nor specific malignancies. However, selected associations were found for lung cancer, colorectal cancer and skin cancer.<p></p> <b>Conclusions</b><p></p> In the present study, reaction time and its components were not generally related to cancer risk

Frailty among older adults and its distribution in England

Background: Information on the spatial distribution of the frail population is crucial to inform service planning in health and social care. Objectives: To estimate small-area frailty prevalence among older adults using survey data. To assess whether prevalence differs between urban, rural, coastal and inland areas of England. Design: Using data from the English Longitudinal Study of Ageing (ELSA), ordinal logistic regression was used to predict the probability of frailty, according to age, sex and area deprivation. Probabilities were applied to demographic and economic information in 2020 population projections to estimate the district-level prevalence of frailty. Results: The prevalence of frailty in adults aged 50+ (2020) in England was estimated to be 8.1 [95% CI 7.3–8.8]%. We found substantial geographic variation, with the prevalence of frailty varying by a factor of 4.0 [3.5–4.4] between the most and least frail areas. A higher prevalence of frailty was found for urban than rural areas, and coastal than inland areas. There are widespread geographic inequalities in healthy ageing in England, with older people in urban and coastal areas disproportionately frail relative to those in rural and inland areas. Conclusions: Interventions aimed at reducing inequalities in healthy ageing should be targeted at urban and coastal areas, where the greatest benefit may be achieved