Selective Serotonin Reuptake Inhibitors (SSRIs) and Markers of Bone Turnover in Men

Selective serotonin reuptake inhibitors (SSRIs) have been shown to have a clinically significant impact on bone metabolism. To explore this further, we aimed to determine whether these agents are associated with serum markers of bone turnover utilising a population-based sample of men (n = 1138; 20-96 year) participating in the Geelong Osteoporosis Study. Blood samples were obtained and the bone resorption marker, C-telopeptide (CTx) and formation marker, type 1 procollagen amino-terminal-propeptide (PINP) were measured. Anthropometry and socio-economic status (SES) were determined and information on medication use and lifestyle was obtained via questionnaire. Lifetime mood disorders were assessed using semi-structured clinical interviews. Thirty-seven (3.3%) men reported using SSRIs. Age was an effect modifier in the association between SSRIs and markers of bone turnover. Among younger men (20-60 year; n = 557), adjusted mean CTx and PINP values were 12.4% [16.7 (95% CI 14.6-18.8) vs 19.1 (95% CI 18.7-19.4) pg/ml, p = 0.03] and 13.6% [5.6 (95% CI 4.9-6.3) vs 6.4 (95% CI 6.3-6.6) pg/ml, p = 0.02] lower among SSRI users compared to non-users, respectively. No differences in SSRI use and markers of bone turnover were detected among older men (61-94 year; all p > 0.05). These patterns persisted after further adjustment for activity, alcohol, smoking, SES, depression, bone active medications and other antidepressants. Our data suggest that SSRI use is associated with alterations in bone turnover markers among younger men. The observed decreases in both CTx and PINP are likely to contribute to a low bone turnover state and increased skeletal fragility with this potential imbalance between formation and resorption resulting in subsequent bone loss.

Health literacy in a population-based sample of Australian women: a cross-sectional profile of the Geelong Osteoporosis Study

Background

The term health literacy refers to the abilities and resources required to find, understand and use health information in managing health. This definition is reflected in the recent development of multidimensional health literacy tools that measure multiple facets of health literacy. The aim of this study was to determine the health literacy profile of a randomly selected, population-based sample of Australian women using a multidimensional tool, the Health Literacy Questionnaire (HLQ). A second aim was to investigate associations between independent HLQ scales, sociodemographic characteristics and lifestyle and anthropometric risk factors for chronic disease.

Methods

We surveyed women involved in the Geelong Osteoporosis Study (GOS), a longitudinal, population-based study. We included demographic data, lifestyle information and anthropometric measures as well as the HLQ. The HLQ has 44 items, scored on either 4- or 5-point scales, within nine conceptually distinct scales. Means for each scale were calculated, and HLQ scales were regressed on educational level and socioeconomic status. Risk factors for chronic disease were investigated using analysis of variance (ANOVA) and calculation of effect sizes.

Results

Higher mean scores were seen for the scales ‘Feeling understood and supported by healthcare professionals’ (mean 3.20, ± SD 0.52) and ‘Understanding health information well enough to know what to do’ (mean 4.28, ±SD 0.54), and lower mean scores were seen for ‘Appraisal of health information’ (mean 2.81, ±SD 0.48) and ‘Navigating the healthcare system’ (mean 4.09, ± SD 0.57). Associations were also seen between lower HLQ scores and poor health behaviours including smoking and being more sedentary, in addition to greater body mass index and waist circumference. Positive gradients were seen between several HLQ scales and education level, as well as SES. For some HLQ scales, these associations were non-linear.

Conclusions

The profile of this population-based cohort of women demonstrated associations between low health literacy and low SES, lower levels of education, increasing age, and anthropometric and lifestyle risk factors for chronic disease. These findings suggest implications of health literacy for health policy makers focusing on improving lifestyle prevention of chronic disease and promoting health equity at a population level.

Correction to: Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Replacement Registry

The names of the co-authors Steven Graves and Michelle Lorimer were missing from the manuscript supplied for publication. The lead authors regret this error and apologize for any inconvenience.

Health literacy and uptake of anti-fracture medications in a population-based sample of Australian women

This study investigated associations between health literacy and use of anti-fracture medications in women with osteoporosis. Data were collected for women participating in the population-based Geelong Osteoporosis Study in Australia. Health literacy was ascertained using the Health Literacy Questionnaire (HLQ) and bone mineral density by dual x-ray absorptiometry. Self-reported current medications were classified using MIMS codes, with the category 'Agent affecting calcium and bone metabolism' indicating osteoporosis treatment. Analysis of Variance (p-value <0.1 indicating a trend) and Cohen's d effect sizes (ES [95%CI]) (categorised; Small >0.2-<0.5, Moderate >0.5-0.8, Large >0.8) were calculated for differences in HLQ scale scores between participants who did vs. did not self-report medication use. Among 620 women, 134 (21.6%) had osteoporosis, 14 (10.5%) of whom self-reported current anti-fracture medication use. Small/moderate ES indicated women taking medication had lower HLQ scores in scales 'Navigating the healthcare system', 'Ability to find health information' and 'Understand health information' (ES 0.36 [0.25-0.79], 0.41 [0.29-0.87] and 0.64 [0.54-1.03], respectively). A trend was observed (p = 0.09) for 'Understand health information' scale scores and utilisation of medication. These data suggest women with less confidence in their ability to find and understand health information may follow healthcare provider recommendations and utilise anti-fracture medications more readily.

The Population Mean Mood Predicts The Prevalence of Depression in an Australian Context

BACKGROUND

The mean population mood has been demonstrated to strongly correlate with the prevalence of depression in European populations. Mean population mood has, therefore, been proposed as both a metric to measure the impact of population-level interventions to prevent depression and a target for public health policy.

AIM

To demonstrate the relationship between mean population mood and the prevalence of depression using Australian data in order to broaden the applicability of this finding to the Australian population.

METHODS

We used data from the Geelong Osteoporosis Study to assess the relationship between population mean mood and depression. Participants reported mood symptoms via questionnaire (the Hospital Anxiety and Depression Scale or General Health Questionnaire-12). Depression was diagnosed by semi-structured clinical interview ( Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Non-patient Edition). Stratification by age and socio-economic status was used to create subpopulation groups. Socio-economic status was measured using Index of Relative Socio-economic Advantage and Disadvantage quintiles, an area-based measure based on Australian census data and published by the Australian Bureau of Statistics. The mean subpopulation questionnaire scores and subpopulation prevalence of depression were then analysed using regression and predictive models.

RESULTS

Mean subpopulation questionnaire scores correlated well with the prevalence of depression across socio-economic status groups in women but not age groups. Questionnaire scores tended to underestimate the prevalence of depression in the young and overestimate it in the elderly.

CONCLUSION

The mean population mood was demonstrated to correlate with the population prevalence of depression in Australia for women, but not for men. Due to the issues of questionnaire validity and sample size in the oldest age groups, the age analysis is unlikely to be a representative of population characteristics. Further work to identify population determinants of mean mood could potentially create policy targets to reduce the prevalence of depression.

Diet quality, dietary patterns and short sleep duration: a cross-sectional population-based study

OBJECTIVE

To examine the cross-sectional association between habitual diet quality, dietary patterns and sleep duration.

METHODS

A cross-sectional study of 838 men and 1065 women participating in a large, population-based cohort study, the Geelong Osteoporosis Study. A diet quality score (DQS) was derived from answers to a food-frequency questionnaire, and a factor analysis identified habitual dietary patterns. Self-reported sleep duration was dichotomized into 'short sleep duration' (< 7 h/night) and 'adequate sleep duration' (≥ 7 h/night). Sleep duration was also grouped into predetermined cut-off ranges (< 5, 5.01-6, 6.01-7, 7.01-8, 8.01-9, 9.01-10 and ≥ 10.01 h /night) to explore the relationship between sleep duration, DQS and dietary patterns.

RESULTS

363 (34.0%) women and 339 (36.1%) men were identified with short sleep duration. After adjustments for age, socioeconomic status, education, physical activity and body mass index, each standard deviation increase in the factor score for traditional dietary pattern was associated with a 13% reduced odds for short sleep duration in men. In women, each standard deviation increase in DQS score was associated with a 21% reduced odds for short sleep duration. In women, adequate sleep was related to higher modern dietary pattern scores when compared both with excessive sleep duration (> 9 h) and shorter sleep duration (< 7 h).

CONCLUSION

Diet quality score was associated with adequate sleep duration (≥ 7 h) and reduced odds for short sleep duration (< 7 h) in Australian women.

The epidemiology of hip fractures across western Victoria, Australia

BACKGROUND

Hip fractures are associated with considerable morbidity and mortality. Hip fracture incidence varies across different levels of accessibility/remoteness and socioeconomic status (SES). As part of the Ageing, Chronic Disease and Injury Study, we aimed to map the pattern of hip fractures across the western region of the Australian state of Victoria, which contains a range of remoteness levels and SES.

METHODS

Data on hip fractures resulting in hospital admission were extracted from the Victorian Admitted Episodes Dataset (VAED) for men and women aged 40+years during 2010-2013 inclusive. An age-adjusted incidence rate (per 10,000population/year) was calculated for the entire region. Crude incidence rates and length of acute care hospital stay (excluding rehabilitation) were calculated for each Local Government Area (LGA). The impact of aggregated age, accessibility/remoteness index of Australia (ARIA) and SES on hip fracture rates aggregated across LGAs was determined using Poisson regression.

RESULTS

For men, the age-standardised rate of hospitalisations for hip fracture across the whole region was 19.2 per 10,000population/year (95%CI 18.0-20.4) and for women, 40.0 (95%CI 38.3-41.7). The highest incidence rates for both sexes occurred in the less accessible LGAs of Yarriambiack and Hindmarsh, as well as the LGA with the lowest SES, Central Goldfields. In both sexes, approximately two thirds of individuals were discharged from acute hospital care within 14days. Increasing age, higher remoteness and lower SES were all associated with higher hip fracture rates.

CONCLUSION

Crude incidence rates varied by location. Given that a high proportion of patients had acute hospital care of ≤14days, and accessibility and SES were associated with hip fracture rates, these results can inform policy and provide a model for other groups to conduct similar research in their local environment.

An update on adjunctive treatment options for bipolar disorder

OBJECTIVES

Bipolar disorder is a complex illness often requiring combinations of therapies to successfully treat symptoms. In recent years, there have been significant advancements in a number of therapies for bipolar disorder. It is therefore timely to provide an overview of current adjunctive therapeutic options to help treating clinicians to inform their patients and work towards optimal outcomes.

METHODS

Publications were identified from PubMed searches on bipolar disorder and pharmacotherapy, nutraceuticals, hormone therapy, psychoeducation, interpersonal and social rhythm therapy, cognitive remediation, mindfulness, e-Health and brain stimulation techniques. Relevant articles in these areas were selected for further review. This paper provides a narrative review of adjunctive treatment options and is not a systematic review of the literature.

RESULTS

A number of pharmacotherapeutic, psychological and neuromodulation treatment options are available. These have varying efficacy but all have shown benefit to people with bipolar disorder. Due to the complex nature of treating the disorder, combination treatments are often required. Adjunctive treatments to traditional pharmacological and psychological therapies are proving useful in closing the gap between initial symptom remission and full functional recovery.

CONCLUSIONS

Given that response to monotherapy is often inadequate, combination regimens for bipolar disorder are typical. Correspondingly, psychiatric research is working towards a better understanding of the disorder's underlying biology. Therefore, treatment options are changing and adjunctive therapies are being increasingly recognized as providing significant tools to improve patient outcomes. Towards this end, this paper provides an overview of novel treatments that may improve clinical outcomes for people with bipolar disorder.

Pattern of psychotropic medication use over two decades in Australian women

OBJECTIVE

Few population-based studies have been used to investigate secular trends in psychotropic medication use. Therefore, the aim of this study was to examine psychotropic medication use over time using data from the Geelong Osteoporosis Study, an on-going, population-based, cohort study of Australian women.

METHODS

Of the 1494 women recruited at Time 1 (1993-1997), self-reported medication use from Time 2 (2004-2008) and/or Time 3 (2011-2014) was available for 889 women. Prevalence of antidepressant/antipsychotic/anxiolytic/sedative/anticonvulsant use by age and cohort strata was calculated using bootstrapping methods. Simultaneous age-cohort patterns were evaluated using logistic regression techniques.

RESULTS

The prevalence of any psychotropic medication use increased from 8.0% (95% confidence interval = [6.3, 9.8]) at Time 1 to 26.0% (95% confidence interval = [22.4, 29.4]) at Time 3, translating to a 4.3-fold increase in the likelihood of psychotropic medication use over the study period (odds ratio = 4.3, 95% confidence interval = [3.2, 5.8], p < 0.001). This increase was driven by the use of antidepressants (odds ratio = 6.4, 95% confidence interval = [4.2, 9.5], p < 0.001) and anticonvulsants (odds ratio = 4.4, 95% confidence interval = [1.8, 11.1]) and modest increases in the use of anxiolytic agents (odds ratio = 1.9, 95% confidence interval = [1.1, 3.1]) and sedatives (odds ratio = 1.7, 95% confidence interval = [1.6, 1.9]). The prevalence of any psychotropic medication use increased with increasing age (40-59.9 years: odds ratio = 1.9, 95% confidence interval = [1.5, 2.6]; 60-79.9 years: odds ratio = 2.6, 95% confidence interval = [1.9, 3.5], compared to the 20- to 39.9-year group). Use of selective serotonin reuptake inhibitors increased dramatically over the study period (odds ratio = 15.3, 95% confidence interval = [7.0, 33.4]).

CONCLUSION

Use of psychotropic medication has increased substantially over the past two decades, especially among older women. Further investigations into the correlates and outcomes of the increased use of psychotropic medications are warranted.

Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling

OBJECTIVE

While risk factors for depression are increasingly known, there is no widely utilised depression risk index. Our objective was to develop a method for a flexible, modular, Risk Index for Depression using structural equation models of key determinants identified from previous published research that blended machine-learning with traditional statistical techniques.

METHODS

Demographic, clinical and laboratory variables from the National Health and Nutrition Examination Study (2009-2010, N = 5546) were utilised. Data were split 50:50 into training:validation datasets. Generalised structural equation models, using logistic regression, were developed with a binary outcome depression measure (Patient Health Questionnaire-9 score ⩾ 10) and previously identified determinants of depression: demographics, lifestyle-environs, diet, biomarkers and somatic symptoms. Indicative goodness-of-fit statistics and Areas Under the Receiver Operator Characteristic Curves were calculated and probit regression checked model consistency.

RESULTS

The generalised structural equation model was built from a systematic process. Relative importance of the depression determinants were diet (odds ratio: 4.09; 95% confidence interval: [2.01, 8.35]), lifestyle-environs (odds ratio: 2.15; 95% CI: [1.57, 2.94]), somatic symptoms (odds ratio: 2.10; 95% CI: [1.58, 2.80]), demographics (odds ratio:1.46; 95% CI: [0.72, 2.95]) and biomarkers (odds ratio:1.39; 95% CI: [1.00, 1.93]). The relationships between demographics and lifestyle-environs and depression indicated a potential indirect path via somatic symptoms and biomarkers. The path from diet was direct to depression. The Areas under the Receiver Operator Characteristic Curves were good (logistic:training = 0.850, validation = 0.813; probit:training = 0.849, validation = 0.809).

CONCLUSION

The novel Risk Index for Depression modular methodology developed has the flexibility to add/remove direct/indirect risk determinants paths to depression using a structural equation model on datasets that take account of a wide range of known risks. Risk Index for Depression shows promise for future clinical use by providing indications of main determinant(s) associated with a patient's predisposition to depression and has the ability to be translated for the development of risk indices for other affective disorders.

Personality disorder is an excess risk factor for physical multimorbidity among women with mental state disorders

We examined whether mental state disorders (lifetime mood, anxiety, eating, substance misuse) with comorbid personality disorder are associated with physical multimorbidity in a population-based sample of women. Mental state and personality disorders were assessed using semi-structured diagnostic interviews. Clinical measures were performed and medical conditions, medication use and lifestyle factors were documented by questionnaire. Mental state disorders were associated with higher odds of physical multimorbidity; risk was especially high for those with comorbid personality disorder. These findings suggest that mental state and physical comorbidity might be worsened by the additional comorbidity of personality disorder.

Lower limb fracture presentations at a regional hospital

We found that lower limb fractures, which were largely the result of minimal trauma, had high levels of hospitalisation, length of stay and surgery. It is therefore important to prevent fractures at all sites to avoid the associated morbidity and mortality.

PURPOSE

Hip fractures are a major cause of morbidity and mortality, particularly in older women. In comparison, less is known about the epidemiology and burden of other lower limb fractures. The study aimed to investigate the epidemiology and burden of these fractures.

METHODS

Incident fractures of the hip, femur, tibia/fibula, ankle and foot in women (≥ 20 years) managed through the University Hospital Geelong, Australia, were ascertained from 1 Jan. 2014 to 31 Dec. 2014 from radiology reports. Age, cause of fracture, post-fracture hospitalisation, surgery, length of stay and discharge location were ascertained from medical records.

RESULTS

We identified 585 fractures of the lower limb (209 hip, 42 femur, 41 tibia/fibula, 162 ankle, 131 foot). Most fractures were sustained by women aged ≥ 50 years. Fractures were largely a result of minimal trauma. Most women with hip or femur fractures were hospitalised; fewer were hospitalised for fractures at other sites. Surgery for fracture followed the same pattern as hospitalisations. Length of stay was the highest for hip and femur fractures and the lowest for foot fractures. Women with hip or femur fractures were discharged to rehabilitation more often than home. Fractures at other sites were most commonly discharged home.

CONCLUSIONS

Fractures of the lower limb occurred frequently in older women. Hospitalisation and subsequent surgery were common in cases of hip and femur fractures. It is important for prevention strategies to target fractures at a range of skeletal sites to reduce costs, hospitalisations, loss of independence and reduced quality of life.

Prediction of 90 Day and Overall Survival after Chemoradiotherapy for Lung Cancer: Role of Performance Status and Body Composition

AIMS

If appropriate patients are to be selected for lung cancer treatment, an understanding of who is most at risk of adverse outcomes after treatment is needed. The aim of the present study was to identify predictive factors for 30 and 90 day mortality after chemoradiotherapy (CRT), and factors that were prognostic for overall survival.

MATERIALS AND METHODS

A retrospective cohort study of 194 patients with lung cancer who had undergone CRT in South East Scotland from 2008 to 2010 was undertaken. Gender, age, cancer characteristics, weight loss, body mass index (BMI), performance status (Eastern Cooperative Oncology Group; ECOG) and computed tomography-derived body composition variables were examined for prognostic significance using Cox's proportional hazards model and logistic regression.

RESULTS

The median overall survival was 19 months (95% confidence interval 16.3, 21.7). Four of 194 patients died within 30 days of treatment completion, for which there were no independent predictive variables; 22/194 (11%) died within 90 days of treatment completion. BMI < 20 and ECOG performance status ≥2 were independent predictors of death within 90 days of treatment completion (P = 0.001 and P = 0.004, respectively). Patients with either BMI < 20 or ECOG performance status ≥ 2 had an odds ratio of death within 90 days of 5.97 (95% confidence interval 2.20, 16.19), rising to an odds ratio of 13.27 (1.70, 103.47) for patients with both BMI < 20 and ECOG performance status ≥ 2. Patients with low muscle attenuation had significantly reduced overall survival (P = 0.004); individuals with low muscle attenuation had a median survival of 15.2 months (95% confidence interval 12.7, 17.7) compared with 23.0 months (95% confidence interval 18.3, 27.8) for those with high muscle attenuation, equating to a hazard ratio of death of 1.62 (95% confidence interval 1.17, 2.23, P = 0.003).

CONCLUSION

Poor performance status, low BMI and low muscle attenuation identify patients at increased risk of premature death after CRT. Risk factors for adverse outcomes should inform personalised discussions with patients about the potential harms as well as the intended benefits of treatment.

Fractures in indigenous compared to non-indigenous populations: A systematic review of rates and aetiology

BACKGROUND

Compared to non-indigenous populations, indigenous populations experience disproportionately greater morbidity, and a reduced life expectancy; however, conflicting data exist regarding whether a higher risk of fracture is experienced by either population. We systematically evaluate evidence for whether differences in fracture rates at any skeletal site exist between indigenous and non-indigenous populations of any age, and to identify potential risk factors that might explain these differences.

METHODS

On 31 August 2016 we conducted a comprehensive computer-aided search of peer-reviewed literature without date limits. We searched PubMed, OVID, MEDLINE, CINAHL, EMBASE, and reference lists of relevant publications. The protocol for this systematic review is registered in PROSPERO, the International Prospective Register of systematic reviews (CRD42016043215). Using the World Health Organization reference population as standard, hip fracture incidence rates were re-standardized for comparability between countries.

RESULTS

Our search yielded 3227 articles; 283 potentially eligible articles were cross-referenced against predetermined criteria, leaving 27 articles for final inclusion. Differences in hip fracture rates appeared as continent-specific, with lower rates observed for indigenous persons in all countries except for Canada and Australia where the opposite was observed. Indigenous persons consistently had higher rates of trauma-related fractures; the highest were observed in Australia where craniofacial fracture rates were 22-times greater for indigenous compared to non-indigenous women. After adjustment for socio-demographic and clinical risk factors, approximately a three-fold greater risk of osteoporotic fracture and five-fold greater risk of craniofacial fractures was observed for indigenous compared to non-indigenous persons; diabetes, substance abuse, comorbidity, lower income, locality, and fracture history were independently associated with an increased risk of fracture.

CONCLUSIONS

The observed paucity of data and suggestion of continent-specific differences indicate an urgent need for further research regarding indigenous status and fracture epidemiology and aetiology. Our findings also have implications for communities, governments and healthcare professionals to enhance the prevention of trauma-related fractures in indigenous persons, and an increased focus on modifiable lifestyle behaviours to prevent osteoporotic fractures in all populations.

Association between bipolar spectrum disorder and bone health: a meta-analysis and systematic review protocol

INTRODUCTION

Bipolar spectrum disorder is a chronic, episodic illness, associated with significant personal, social and economic burden. It is estimated to affect ∼2.4% of the population worldwide and is commonly associated with psychological and/or physiological comorbidities. Osteoporosis is one such comorbidity, a disease of bone that is asymptomatic until a fracture occurs. This systematic review attempts to capture, collate, assess and discuss the literature investigating the association between bipolar spectrum disorder and bone health.

METHODS AND ANALYSIS

We aim to identify articles that investigate the association between bipolar spectrum disorder and bone health in adults by systematically searching the MEDLINE, PubMed, OVID and CINAHL databases. Two independent reviewers will determine eligibility of studies according to predetermined criteria, and methodological quality will be assessed using a previously published scoring system. A meta-analysis will be conducted, and statistical methods will be used to identify and control for heterogeneity, if possible. If numerical syntheses are prevented due to statistical heterogeneity, a best evidence synthesis will be conducted to assess the level of evidence for associations between bipolar spectrum disorder and bone health.

ETHICS AND DISSEMINATION

Ethical permission will not be required for this systematic review since only published data will be used. This protocol will be registered with PROSPERO. Findings of the review will be published in a peer-reviewed scientific journal, and will be presented to clinical and population health audiences at national and international conferences.

The prevalence, age distribution and comorbidity of personality disorders in Australian women

OBJECTIVE

We aimed to describe the prevalence and age distribution of personality disorders and their comorbidity with other psychiatric disorders in an age-stratified sample of Australian women aged ⩾25 years.

METHODS

Individual personality disorders (paranoid, schizoid, schizotypal, histrionic, narcissistic, borderline, antisocial, avoidant, dependent, obsessive-compulsive), lifetime mood, anxiety, eating and substance misuse disorders were diagnosed utilising validated semi-structured clinical interviews (Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition and Structured Clinical Interview for DSM-IV Axis II Personality Disorders). The prevalence of personality disorders and Clusters were determined from the study population ( n = 768), and standardised to the Australian population using the 2011 Australian Bureau of Statistics census data. Prevalence by age and the association with mood, anxiety, eating and substance misuse disorders was also examined.

RESULTS

The overall prevalence of personality disorders in women was 21.8% (95% confidence interval [CI]: 18.7, 24.9). Cluster C personality disorders (17.5%, 95% CI: 16.0, 18.9) were more common than Cluster A (5.3%, 95% CI: 3.5, 7.0) and Cluster B personality disorders (3.2%, 95% CI: 1.8, 4.6). Of the individual personality disorders, obsessive-compulsive (10.3%, 95% CI: 8.0, 12.6), avoidant (9.3%, 95% CI: 7.1, 11.5), paranoid (3.9%, 95% CI: 3.1, 4.7) and borderline (2.7%, 95% CI: 1.4, 4.0) were among the most prevalent. The prevalence of other personality disorders was low (⩽1.7%). Being younger (25-34 years) was predictive of having any personality disorder (odds ratio: 2.36, 95% CI: 1.18, 4.74), as was being middle-aged (odds ratio: 2.41, 95% CI: 1.23, 4.72). Among the strongest predictors of having any personality disorder was having a lifetime history of psychiatric disorders (odds ratio: 4.29, 95% CI: 2.90, 6.33). Mood and anxiety disorders were the most common comorbid lifetime psychiatric disorders.

CONCLUSIONS

Approximately one in five women was identified with a personality disorder, emphasising that personality disorders are relatively common in the population. A more thorough understanding of the distribution of personality disorders and psychiatric comorbidity in the general population is crucial to assist allocation of health care resources to individuals living with these disorders.

Anxiety disorders and falls among older adults

BACKGROUND

Falls are common among older adults and can lead to serious injuries, including fractures. We aimed to determine associations between anxiety disorders and falls in older adults.

METHODS

Participants were 487 men and 376 women aged ≥60 years enrolled in the Geelong Osteoporosis Study, Australia. Using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Non-patient edition (SCID-I/NP), lifetime history of anxiety disorders was determined. Falls were determined by self-report. In men, a falls-risk score (Elderly Falls Screening Test (EFST)) was also calculated.

RESULTS

Among fallers, 24 of 299 (8.0%) had a lifetime history of anxiety disorder compared to 36 of 634 (5.7%) non-fallers (p=0.014). Examination of the association between anxiety and falls suggested differential relationships for men and women. In men, following adjustment for psychotropic medications, mobility and blood pressure, lifetime anxiety disorder was associated with falling (OR 2.96; 95%CI 1.07-8.21) and with EFST score (OR 3.46; 95%CI 1.13-10.6). In women, an association between lifetime anxiety disorder and falls was explained by psychotropic medication use, poor mobility and socioeconomic status.

LIMITATIONS

Sub-group analyses involving types of anxiety and anxiety disorders over the past 12-months were not performed due to power limitations.

CONCLUSION

Although anxiety disorders were independently associated with a 3-fold increase in likelihood of reported falls and high falls risk among men, an independent association was not detected among women. These results may aid in prevention of falls through specific interventions aimed at reducing anxiety, particularly in men.

Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM)

BACKGROUND

Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depressed individuals without constraints. The aim of this research was to use a large epidemiological study to identify and characterise depression clusters through "Graphing lifestyle-environs using machine-learning methods" (GLUMM).

METHODS

Two ML algorithms were implemented: unsupervised Self-organised mapping (SOM) to create GLUMM clusters and a supervised boosted regression algorithm to describe clusters. Ninety-six "lifestyle-environ" variables were used from the National health and nutrition examination study (2009-2010). Multivariate logistic regression validated clusters and controlled for possible sociodemographic confounders.

RESULTS

The SOM identified two GLUMM cluster solutions. These solutions contained one dominant depressed cluster (GLUMM5-1, GLUMM7-1). Equal proportions of members in each cluster rated as highly depressed (17%). Alcohol consumption and demographics validated clusters. Boosted regression identified GLUMM5-1 as more informative than GLUMM7-1. Members were more likely to: have problems sleeping; unhealthy eating; ≤2 years in their home; an old home; perceive themselves underweight; exposed to work fumes; experienced sex at ≤14 years; not perform moderate recreational activities. A positive relationship between GLUMM5-1 (OR: 7.50, P<0.001) and GLUMM7-1 (OR: 7.88, P<0.001) with depression was found, with significant interactions with those married/living with partner (P=0.001).

CONCLUSION

Using ML based GLUMM to form ordered depressive clusters from multitudinous lifestyle-environ variables enabled a deeper exploration of the heterogeneous data to uncover better understandings into relationships between the complex mental health factors.

Randomized open-label phase II study comparing oxycodone–naloxone with oxycodone in early return of gastrointestinal function after laparoscopic colorectal surgery

Background

Combined oral modified-release oxycodone–naloxone may reduce opioid-induced postoperative gut dysfunction. This study examined the feasibility of a randomized trial of oxycodone–naloxone within the context of enhanced recovery for laparoscopic colorectal resection.

Methods

In a single-centre open-label phase II feasibility study, patients received analgesia based on either oxycodone–naloxone or oxycodone. Primary endpoints were recruitment, retention and protocol compliance. Secondary endpoints included a composite endpoint of gut function (tolerance of solid food, low nausea/vomiting score, passage of flatus or faeces).

Results

Eighty-two patients were screened and 62 randomized (76 per cent); the attrition rate was 19 per cent (12 of 62), leaving 50 patients who received the allocated intervention with 100 per cent follow-up and retention (modified intention-to-treat cohort). Protocol compliance was more than 90 per cent. Return of gut function by day 3 was similar in the two groups: 13 (48 per cent) of 27 in the oxycodone–naloxone group and 15 (65 per cent) of 23 in the control group (95 per cent c.i. for difference −10·0 to 40·7 per cent; P = 0·264). However, patients in the oxycodone–naloxone group had a shorter time to first bowel movement (mean(s.d.) 87(38) h versus 111(37) h in the control group; 95 per cent c.i. for difference 2·3 to 45·4 h, P = 0·031) and reduced total (oral plus parenteral) opioid consumption (mean(s.d.) 78(36) versus 94(56) mg respectively; 95 per cent c.i. for difference −10·2 to 42·8 mg, P = 0·222).

Conclusion

High participation, retention and protocol compliance confirmed feasibility. Potential benefits of oxycodone–naloxone in reducing time to bowel movement and total opioid consumption could be tested in a randomized trial. Registration number: NCT02109640 (https://www.clinicaltrials.gov/).

Growth of the pectoral girdle in a sample of juveniles from the kellis 2 cemetery, Dakhleh Oasis, Egypt

OBJECTIVES

This study investigates growth patterns in the scapula and clavicle in a cross-sectional juvenile skeletal sample ranging from 20 weeks gestation to 8.5 years of age from the Kellis 2 cemetery, Dakhleh Oasis, Egypt. The primary goal is to quantify growth patterns and growth velocities in the scapula and clavicle to better understand the development of the pectoral girdle.

METHODS

A series of low-order polynomial regression models was used to examine growth curves in clavicle diaphyseal length, scapular height, and scapular width. Incremental growth and relative percent increase were examined among successive age groups as a proxy measure of growth velocity. Scapular body proportions were assessed with the scapular index and compared across age groups using a Kruskal-Wallis test with post-hoc tests.

RESULTS

A third-order polynomial best describes growth in clavicle diaphyseal length and scapular height, and a second-order polynomial best describes growth in scapular width. Growth velocity patterns are similar among clavicle diaphyseal length, scapular height, and scapular width particularly from birth until the end of early childhood. Clavicle diaphyseal length decelerates during middle childhood while scapular height and width accelerate during this time. With increasing age, the scapular body proportionately increases more in height than in width. The relatively narrow scapular body characteristic of adult scapulae is first evident during early childhood.

CONCLUSIONS

Changes in scapular body shape during ontogeny may be a reflection of the greater alterations taking place in the integrated morphology of the pectoral girdle during the biomechanical shift from crawling to bipedalism. Am. J. Hum. Biol. 28:636-645, 2016. © 2016 Wiley Periodicals, Inc.