A systematic review with meta-analysis of studies comparing response to experimentally-evoked pain between obese and non-obese individuals

© 2018 Astita et al. Background: The relationship between obesity and pain remains unclear. The aim of this systematic review was to determine whether response to experimentally-evoked pain differed between obese and non-obese individuals. Studies that compared responses to experimentally-evoked pain between obese and non-obese human participants post-puberty (i.e. >16 years) were sought. Eligible studies published between January 1950 and May 2017 were identified by searching OVID, MEDLINE, EMBASE and Science Direct. Explanation: Methodological quality of included studies was assessed using the ‘QualSyst’ questionnaire. Of 1106 references identified only nine studies (683 participants) were eligible for review. Pressure pain was assessed in five studies and electrical pain in three studies. Two studies investigated thermal pain. Obesity was categorized according to body mass index (BMI) or as weight as a percentage of ideal body weight. Six of the nine included studies were of low methodological quality. There was a lack of extractable data to pool for meta-analysis of studies using thermal or electrical pain. A forest plot of data extracted from four studies on pressure pain threshold found no differences between obese and non-obese groups (overall effect size was Z=0.57, p=0.57). Conclusion: Small sample size was the main limitation in all studies. Participants with obesity were more sensitive to mechanical noxious stimuli than non-obese participants in three of five studies. However, overall, it was not possible to determine whether there are differences in pain sensitivity response to experimental stimuli between obese and non-obese individuals

Discovery of novel biomarkers and phenotypes by semantic technologies.

Biomarkers and target-specific phenotypes are important to targeted drug design and individualized medicine, thus constituting an important aspect of modern pharmaceutical research and development. More and more, the discovery of relevant biomarkers is aided by in silico techniques based on applying data mining and computational chemistry on large molecular databases. However, there is an even larger source of valuable information available that can potentially be tapped for such discoveries: repositories constituted by research documents

WARWICKSHIRE (Reino Unido) (Inglaterra). Mapas generales. 1793 (1787-1789). 1:65000

Escalas gráficas de 6 millas estatutarias de 69 1/2 al grado [= 14,8 cm] y 6 millas geográficas de 60 al grado [= 17,2 cm]. Coordenadas referidas al meridiano de Londres ( O 1°59'0''--O 1°03'30''/N 52°42'00''--N 51°57'00'') Se traza además el meridiano que pasa por Warwick. Recuadro geográfico de 5' en 5'. Orientado con lis en rosa de ocho vientos prolongadosOrografía a trazosDestaca especialmente la división administrativaTabla de signos convencionales para indicar lugares importanrtes de feria de mercado, casas de caballeros campesinos y granjas, iglesias, capillas y demás edificios religiosos y caminosLeyenda explicativa sobre un diagrama que hay inserto en el documento, para calcular las distancias entre los diversos puntos del condadoDecorado con el grabado del catillo de Warwick y St Mary's TowerInserta un diagrama en el que aparecen reflejados algunas de las triangulaciones geodésicas realizadas en la elaboración de este map

Exploring the health and service utilisation of general practice patients with a history of adverse childhood experiences (ACEs): An observational study using electronic health records

Objectives To examine the relationships between adverse childhood experiences (ACEs), chronic health and health service utilisation among a sample of general practice patients. Design Cross-sectional observational study using anonymised data from electronic health records for 763 patients. Setting Four general practices in northwest England and North Wales. Outcome measures Patient demographic data (age, gender); body mass index; self-reported smoking status; self-reported ACEs; diagnosis of chronic health conditions; current mental health problems; total number of service contacts and repeat medication use in the previous 6 months. Results A history of ACEs (experiencing abuse or neglect as a child, and/or growing up in a household characterised by violence, substance use, mental health problems or criminal behaviour) was strongly independently associated with current mental health problems, smoking and chronic obstructive pulmonary disease, showing a dose-response relationship with level of ACE exposure. Medication use and contact were significantly greater among patients with high ACE exposure (≥4 ACEs), compared with those with no ACEs. However, contrary to findings from population studies, health service utilisation was not significantly different for patients with increased ACE exposure (1-3 ACEs) and their ACE-free counterparts. Conclusions Findings highlight the contribution ACEs make to unequal distributions of risk to health and well-being and patterns of health service use in the UK

Digital Overuse and Addictive Traits and Their Relationship With Mental Well-Being and Socio-Demographic Factors: A National Population Survey for Wales

Introduction: Population health concerns have been raised about negative impacts from overuse of digital technologies. We examine patterns of online activity predictive of Digital Overuse and Addictive Traits (DOAT). We explore associations between DOAT and mental well-being and analyse how both relate to self-reported changes in self-esteem, perceived isolation, and anxiety about health when individuals use the internet for health purposes. Methods: A cross-sectional nationally representative household survey of adults using stratified random sampling (compliance 75.4%, n = 1,252). DOAT was measured using self-reported questions adapted from a social media addiction scale (failure to cut down use, restlessness when not using, and impact on job/studies and home/social life in the last year), combined into a single DOAT score. Higher DOAT score was defined as >1 standard deviation above population mean. The Short Warwick-Edinburgh Mental Well-being Scale was used to measure mental well-being. Analyses were limited to those with internet access (n = 1,003). Results: Negative impacts of digital technology use on work and home/social lives were reported by 7.4% of respondents. 21.2% had tried but failed to cut down use in the past year. Higher DOAT was associated with higher social media and internet use but also independently associated with greater risks of low mental well-being. Higher DOAT was associated with both improvement and worsening of self-esteem, perceived isolation and anxiety about health when using the internet for health reasons, with no change in these outcomes most likely in those with lower DOAT. Lower mental well-being was associated with a similar bi-directional impact on perceived isolation and was also associated with worsening self-esteem. Conclusions: Substantial proportions of individuals report negative impacts on home, social and working lives from digital technology use, with many trying but failing to cut down use. Individuals with higher DOAT may experience improvements or worsening in self-esteem and other measures of mental well-being when using the internet for health purposes. From a public health perspective, a greater understanding of risk factors for digital overuse, its impacts on well-being and how to reasonably limit use of technology are critical for a successful digital revolution

Generating EQ-5D-3L health utility scores from the Edinburgh Postnatal Depression Scale: a perinatal mapping study

Background: Perinatal depression (PND) describes depression experienced by parents during pregnancy or in the first year after a baby is born. The EQ-5D instrument (a generic measure of health status) is not often collected in perinatal research, however disease-specific measures, such as the Edinburgh Postnatal Depression Scale (EPDS) are widely used. Mapping can be used to estimate generic health utility index values from disease-specific measures like the EPDS. Objective: To develop a mapping algorithm to estimate EQ-5D utility index values from the EPDS. Methods: Patient-level data from the BaBY PaNDA study (English observational cohort study) provided 1068 observations with paired EPDS and EQ-5D (3-level version; EQ-5D-3L) responses. We compared the performance of six alternative regression model types, each with four specifications of covariates (EPDS score and age: base, squared, and cubed). Model performance (ability to predict utility values) was assessed by ranking mean error, mean absolute error, and root mean square error. Algorithm performance in 3 external datasets was also evaluated. Results: There was moderate correlation between EPDS score and utility values (coefficient: – 0.42). The best performing model type was a two-part model, followed by ordinary least squared. Inclusion of squared and cubed covariates improved model performance. Based on graphs of observed and predicted utility values, the algorithm performed better when utility was above 0.6. Conclusions: This direct mapping algorithm allows the estimation of health utility values from EPDS scores. The algorithm has good external validity but is likely to perform better in samples with higher health status

The role of defensive information processing in population-based colorectal cancer screening uptake

BACKGROUND: Internationally, colorectal cancer screening participation remains low despite the availability of home-based testing and numerous interventions to increase uptake. To be effective, interventions should be based on an understanding of what influences individuals’ decisions about screening participation. This study investigates the association of defensive information processing (DIP) with fecal immunochemical test (FIT)–based colorectal cancer screening uptake. METHODS: Regression modeling of data from a cross-sectional survey within a population-based FIT screening program was conducted. The survey included the seven subdomains of the McQueen DIP measure. The primary outcome variable was the uptake status (screening user or nonuser). Multivariable logistic regression was used to estimate the odds ratio (OR) for screening nonuse by DIP (sub)domain score, with adjustments made for sociodemographic and behavioral factors associated with uptake. RESULTS: Higher scores (equating to greater defensiveness) on all DIP domains were significantly associated with lower uptake in the model adjusted for sociodemographic factors. In the model with additional adjustments for behavioral factors, the suppression subdomains of “deny immediacy to be tested” (OR, 0.53; 95% confidence interval [CI], 0.43–0.65; p < .001) and “self-exemption” (OR, 0.80; 95% CI, 0.68–0.96; p < .001) independently predicted nonuse of FIT-based screening. CONCLUSIONS: This is the first study outside the United States that has identified DIP as a barrier to colorectal cancer screening uptake, and it is the first focused specifically on FIT-based screening. The findings suggest that two suppression barriers, namely denying the immediacy to be tested and self-exempting oneself from screening, may be promising targets for future interventions to improve uptake

Health and financial burden of adverse childhood experiences in England and Wales: a combined primary data study of five surveys

Objective To estimate the health and financial burden of adverse childhood experiences (ACEs) in England and Wales. Design The study combined data from five randomly stratified cross-sectional ACE studies. Population attributable fractions (PAFs) were calculated for major health risks and causes of ill health and applied to disability adjusted life years (DALYs), with financial costs estimated using a modified human capital method. Setting Households in England and Wales. Participants 15 285 residents aged 18-69. Outcome measures The outcome measures were PAFs for single (1 ACE) and multiple (2-3 and ≥4 ACEs) ACE exposure categories for four health risks (smoking, alcohol use, drug use, high body mass index) and nine causes of ill health (cancer, type 2 diabetes, heart disease, respiratory disease, stroke, violence, anxiety, depression, other mental illness); and annual estimated DALYs and financial costs attributable to ACEs. Results Cumulative relationships were found between ACEs and risks of all outcomes. For health risks, PAFs for ACEs were highest for drug use (Wales 58.8%, England 52.6%), although ACE-attributable smoking had the highest estimated costs (England and Wales, £7.8 billion). For causes of ill health, PAFs for ACEs were highest for violence (Wales 48.9%, England 43.4%) and mental illness (ranging from 29.1% for anxiety in England to 49.7% for other mental illness in Wales). The greatest ACE-attributable costs were for mental illness (anxiety, depression and other mental illness; England and Wales, £11.2 billion) and cancer (£7.9 billion). Across all outcomes, the total annual ACE-attributable cost was estimated at £42.8 billion. The majority of costs related to exposures to multiple rather than a single ACE (ranging from 71.9% for high body mass index to 98.3% for cancer). Conclusions ACEs impose a substantial societal burden in England and Wales. Policies and practices that prevent ACEs, build resilience and develop trauma-informed services are needed to reduce burden of disease and avoidable service use and financial costs across health and other sectors

Understanding the association between self-reported poor oral health and exposure to adverse childhood experiences: A retrospective study

Background: Adverse childhood experiences, including physical, sexual or emotional abuse, can have detrimental impacts on child and adult health. However, little research has explored the impact that such early life experiences have on oral health. This study examines whether experiencing adverse childhood experiences before the age of 18 years is associated with self-reported poor dental health in later life. Methods: Using stratified random probability sampling, a household survey (N = 5307; age range 18-69 years) was conducted in the South of England (Hertfordshire, Luton and Northamptonshire). Data were collected at participants' homes using face-to-face interviews. Measures included exposure to nine adverse childhood experiences, and two dental outcomes: tooth loss (> 8 teeth lost due to dental caries or damage) and missing or filled teeth (direct or indirect restorations; > 12 missing or filled teeth). Results: Strong associations were found between exposure to childhood adversity and poor dental health. The prevalence of tooth loss was significantly higher (8.3%) in those with 4+ adverse childhood experiences compared to those who had experienced none (5.0%; p < 0.05). A similar relationship was found for levels of missing or filled teeth (13.4%, 4+ adverse childhood experiences; 8.1%, none; p < 0.001). Exposure to 4+ adverse childhood experiences was associated with a higher level of tooth loss and restorations at any age, compared to individuals who had not experienced adversity. Demographically adjusted means for tooth loss increased with adverse childhood experience count in all age groups, rising from 1.0% (18-29 years) and 13.0% (60-69 years) in those with none, to 3.0% and 26.0%, respectively in those reporting 4+. Conclusions: Exposure to childhood adversity could be an important predictive factor for poor dental health. As oral health is an important part of a child's overall health status, approaches that seek to improve dental health across the life-course should start with safe and nurturing childhoods free from abuse and neglect. Given the growing role that dental professionals have in identifying violence and abuse, it seems appropriate to raise awareness in the field of dentistry of the potential for individuals to have suffered adverse childhood experiences, and the mechanisms linking childhood adversity to poor dental health

Public acceptability of public health policy to improve population health: A population-based survey

Background: For public health policies to be effective, it is critical that they are acceptable to the public as acceptance levels impact success rate. Objective: To explore public acceptance of public health statements and examine differences in acceptability across socio-demographics, health behaviours (physical activity, diet, binge drinking and smoking), health status and well-being. Method: A cross-sectional survey was conducted with a nationally representative sample (N = 1001) using a random stratified sampling method. Face-to-face interviews were conducted at homes of residents in Wales aged 16+ years. Individuals reported whether they agreed, had no opinion, or disagreed with 12 public health statements. Results: More than half of the sample were supportive of 10 out of 12 statements. The three statements with the greatest support (>80% agreement) reflected the importance of: a safe and loving childhood to becoming a healthy adult, schools teaching about health, and healthier foods costing less. Individuals who engaged in unhealthy behaviours were less likely to agree with some of the statements (eg 39.8% of binge drinkers agreed alcohol adverts should be banned compared to 57.6% of those who never binge drink; P <.001). Conclusions: Findings show an appetite for public health policies among the majority of the public. The relationship between supporting policies and engaging in healthy behaviours suggests a feedback loop that is potentially capable of shifting both public opinion and the opportunities for policy intervention. If a nation becomes healthier, this could illicit greater support for stronger policies which could encourage more people to move in a healthier direction