Obesity and mental health are significant global health concerns. Evidence has linked increased adiposity with depression and well-being; however, there is limited documented evidence in Ireland. Research also suggests lifestyle factors and disease conditions to be related to mental health. These may modulate relationships between adiposity and depression and well-being.

This was a cross-sectional study of 1,821 men and women aged 46-73 years, randomly selected from a large primary care centre. Depression and well-being were assessed using the 20-item Centre for Epidemiologic Studies Depression Scale (CES-D) and the World Health Organization-Five (WHO-5) Well-Being Index. Linear regression analyses were performed to examine relationships between mental health scores (dependent variable) and adiposity (independent variable) defined using body mass index (BMI) and waist-height ratio while adjusting for demographic characteristics, lifestyle factors and disease conditions.

BMI and waist-height ratio had a significant positive association with depression scores and a significant inverse association with well-being scores in males and females. These associations were maintained following adjustment for demographic variables and lifestyle factors. In final models where disease conditions were adjusted for, BMI (β = 0.743, p < .001) and waist-height ratio (β = 0.719, p < .001) associations with the CES-D score remained significant. In stratified analyses, relationships between measures of adiposity and depression were found to be stronger in females (BMI: β = 0.806, p = .007; waist-height ratio: β = 0.768, p = .01) than males (BMI: β = 0.573, p = .049; waist-height ratio: β = 0.593, p = .044) but no effect modification was identified.

These findings suggest that increased adiposity is significantly associated with poorer mental health, independent of lifestyle factors and disease conditions. Targeted interventions for reducing depression should include better population-level weight management measures.

Primary care is essential to address the unmet physical health needs of people with severe mental ill-health. Continued poor cardiovascular health demands improved screening and preventive care. No previous reviews have examined primary care cardiovascular screening rates for people living with severe mental ill-health; termed in the literature "severe mental illness".

A scoping review following Joanna Briggs Institute methodology was conducted. Cardiovascular risk factor screening rates in adults with severe mental ill-health were examined in general or family practices (as the main delivery sites of primary care). Literature published between 2001 and 2023 was searched using electronic databases including Medline, Embase, Web of Science, PsychINFO and CINAHL. Two reviewers independently screened titles and abstracts and conducted a full-text review. The term "severe mental illness" was applied as the term applied in the literature over the past decades. Study information, participant details and cardiovascular risk factor screening rates for people with 'severe mental illness' were extracted and synthesised.

Thirteen studies were included. Nine studies were from the United Kingdom and one each from Canada, Spain, New Zealand and the Netherlands. The general and/or family practice cardiovascular disease screening rates varied considerably across studies, ranging from 0 % to 75 % for people grouped within the term "severe mental illness". Lipids and blood pressure were the most screened risk factors.

Cardiovascular disease screening rates in primary care settings for adults living with severe mental ill-health varied considerably. Tailored and targeted cardiovascular risk screening will enable more comprehensive preventive care to improve heart health outcomes and address this urgent health inequity.

To evaluate the effectiveness of two different smoking cessation interventions for individuals with severe mental illness. Study participants (N = 61) randomly assigned to the SC-R group (n = 29) were offered 24 weeks of no cost Nicotine Replacement Treatment (NRT); participants assigned to the SC + group (n = 32) were offered 24 weeks of no cost NRT plus two initial individual counselling sessions of motivational interviewing and weekly psychosocial group support for 24 weeks. At 6 months the smoking cessation outcome was 7% for the SC-R group and 14% for the SC + group, but there was no statistically significant difference between the groups. Both groups showed a significant decrease in the number of cigarettes smoked per day and significant improvement in physical health functioning. Clients with severe mental illness, high prevalence of co-occurring substance use and experience of homelessness, are both interested and able to quit smoking and reduce cigarette use.

People with mental illness are a vulnerable and stigmatised group with poor health outcomes including greater premature mortality. This study aimed to investigate trends and rates of change in unintentional drug-related deaths for people with mental illness, describe types of medicines involved, and identify populations at risk in a cohort from New South Wales, Australia.

Features of unintentional drug-related deaths for people with mental illness between 2012 and 2016 were identified in a retrospective review of data from the National Coronial Information System.

A total of 495 unintentional drug-related deaths were identified (1.6 deaths/100,000 population), showing an upward trend (p < 0.01). The most common substance involved was diazepam in both genders (males 135/319, 42%, female 76/176, 43%) and more than one contributory drug was included in 80% of cases. Between 2012 and 2016, amphetamine-related deaths showed the highest increase (3.2-fold), followed by codeine (2.5-fold) and quetiapine (2.5-fold). Males (RR 1.8, 95% CI 1.5-2.2) and people aged 35-44 (RR 1.7, CI 1.3-2.2) were more likely to die from unintentional drug-related deaths compared with the reference (females and people aged 25-34).

This study found that the drugs commonly involved in deaths are also the drugs commonly used by and prescribed to people with mental illness. There were also significant differences between gender, age group, and marital status in the trend and rate of unintentional drug-related deaths for people with mental illness. A multifaceted approach encompassing both pharmaceutical prescribing and targeted public health messaging is required to inform intervention and prevention strategies.

EHRs provide an opportunity to conduct research on underrepresented oncology populations with mental health and substance use disorders. However, a lack of data quality may introduce unintended bias into EHR data. The objective of this article is describe our analysis of data quality within automated comorbidity lists commonly found in EHRs. Investigators conducted a retrospective chart review of 395 oncology patients from a safety-net integrated healthcare system. Statistical analysis included κ coefficients and a condition logistic regression. Subjects were racially and ethnically diverse and predominantly used Medicaid insurance. Weak κ coefficients ( κ = 0.2-0.39, P < .01) were noted for drug and alcohol use disorders indicating deficiencies in comorbidity documentation within the automated comorbidity list. Further, conditional logistic regression analyses revealed deficiencies in comorbidity documentation in patients with drug use disorders (odds ratio, 11.03; 95% confidence interval, 2.71-44.9; P = .01) and psychoses (odds ratio, 0.04; confidence interval, 0.02-0.10; P < .01). Findings suggest deficiencies in automatic comorbidity lists as compared with a review of provider narrative notes when identifying comorbidities. As healthcare systems increasingly use EHR data in clinical studies and decision making, the quality of healthcare delivery and clinical research may be affected by discrepancies in the documentation of comorbidities.

Extant international research suggests that people with severe and enduring mental illness (PWSEMI) experience increased rates of chronic physical illness (CPI), reduced life expectancy and higher mortality than those in the general population. The high prevalence of CPI among PWSEMI is associated with a number of barriers that this population experiences when accessing physical healthcare. Although substantial research has been conducted in North America, Europe and Australia, there appears to be a paucity of research exploring CPI among PWSEMI in the Caribbean region, although this region has reported very high rates of non-communicable diseases within its populations. The current study will be situated in Jamaica and will explore the enablers and barriers to PWSEMI accessing healthcare for CPI.

A convergent mixed-method design will explore the enablers and barriers to accessing healthcare for CPI among PWSEMI. This cross-sectional study will collect data from PWSEMI, caregivers and family members, community health aides, primary care physicians, psychiatrists and health policymakers.

The study findings will provide baseline data describing the prevalence of CPI among PWSEMI in Jamaica and will identify enablers for, and barriers to, PWSEMI accessing CPI care. Findings will be disseminated widely in Jamaica and internationally to key stakeholders through publications and conferences. Institutional ethical approval was granted from Jamaica's Ministry of Health and Wellness Medico-legal Ethics Review Panel (# 2019/49), the Curtin University Human Research and Ethics Committee (HRE 2020-0022) and the University of the West Indies FMS Ethics Committee (ECP 101, 19/20).

Stigmatising attitudes of health care professionals towards mental illness can impede treatment provided for psychiatric patients. Many studies have reported undergraduate training to be a critical period for changing the attitudes of medical students, and one particularly valuable intervention strategy involves time spent in a clinical psychiatric rotation. In South Africa, medical students are exposed to a clinical rotation in psychiatry but there is no evidence to show whether this has an effect on attitudes toward mental illness.

This prospective cohort study involved a convenience sample of 112 South African medical students in their 5th or 6th year of undergraduate training. This sample attended a 7-week psychiatry rotation. The Attitudes to Mental Illness Questionnaire (AMIQ) was used to assess students' attitudes toward mental illness before and after the clinical rotation which includes exposure to a number of psychiatric sub-divisions and limited didactic inputs.

There was a significant improvement (p < 0.01, t-test) in the students' attitude toward mental illness following the psychiatric rotation. Females displayed a more positive attitude towards mental illness at the end of the rotation compared to males. The participants' attitude significantly deteriorated for the non-psychiatric vignette describing diabetes (< 0.01, t-test).

Our findings suggest that clinical training and exposure to a psychiatric setting impacts positively on medical students' attitude towards mental illness, even when this training does not include any focused, didactic anti-stigma input.

Despite increasing mental health promotion and advocacy, stigma persists and poses a significant threat to the healthy functioning at the macro and micro-sociological levels. Stigma is gradually evolving with the incorporation of broader social contexts at the micro and macro levels in which individuals, institutions and larger cultural constructs shape and influence the perception of what is different and therefore stigmatized. This theoretical paper based on literature underscores how mental health stigma discourages individuals from getting proper mental health treatment. The interface of mental illness, stigma, and mental health treatment has ethical and potentially moral implications.

Behavioral health problems usually co-occur along with physical health problems, resulting in higher health care costs. These co-occurring conditions are likely to be more prevalent and serious among low income patients, affecting both the quality and costs of care.

To examine the prevalence, severity, and health care costs of co-occurring chronic and behavioral health conditions among low income people compared with higher income people.

Analysis of the 2011-2014 Medical Expenditure Panel Survey. Sample includes 146,000 persons aged 18-64 years. Regression analysis was used to examine how the combination of behavioral health conditions and chronic health conditions is associated with health care expenditures, and how this association differs by family income.

(1) Comorbid behavioral health problems are more prevalent and serious among low income people with chronic conditions compared with higher income people; (2) among patients with co-occurring chronic and behavioral problems, average annual spending is greater among the low income patients ($9472) compared with high income patients ($7457); (3) higher costs among low income patients with co-occurring conditions reflects their poorer mental and physical health, relative to higher income patients.

For many low income people, comorbid behavioral problems need to be understood in the social context in which they live. Simply screening low income people for behavioral health problems may not be sufficient unless there is greater understanding of the mechanisms that both cause and exacerbate chronic and behavioral health problems in the low income population.

The poor physical health of people who experience severe mental illness (SMI) is an important public health issue that has been acknowledged, yet not properly addressed. People who live with SMI perform a myriad of complex tasks in order to take care of their physical health, while receiving unpredictable levels of support and assistance from health professionals. In this qualitative study, we aimed to uncover the kinds of work people with SMI do in order to look after their physical health. In a metropolitan area in Queensland, Australia, 32 people with lived experience of SMI participated in semi-structured, face-to-face interviews. Data were digitally recorded, transcribed verbatim and open coded. They were then themed using a constant comparative process. We found that people with SMI were engaged in a "rhythm of life with illness" that consisted of relatively short, acute and chaotic cycles of mental and physical illness, accompanied by much longer mental and physical illness recovery cycles. Participants engaged in three specific types of health-related work to manage these cycles: discovery work (and the associated role of the health professional); sense-making work to meaningfully interpret health and illness; and embedding work to become engaged self-managers of illness and producers of health. We discuss how varying levels of support from health professionals impact consumers' self-management of their physical and mental health; how health professionals influence consumers' experience of treatment burden; and implications for practice.

In response to the problem of frequent 30-day readmissions to inpatient psychiatric facilities, Vigod and colleagues (2015) developed the READMIT clinical risk index to identify risk factors for psychiatric inpatient readmissions. The purpose of this descriptive retrospective study was to examine the effectiveness of the READMIT clinical risk index to identify patients that are at high risk for a 30-day inpatient psychiatric readmission at a state psychiatric hospital in the southeastern US. Data were extracted from the discharge summaries of patients discharged between September 2013 and December 2014. Data collected included patient demographic variables (age, gender, race/ethnicity, primary diagnosis, housing status at discharge, employment, long-acting injectable at discharge, substance abuse, education, and insurance status) and study variables from the READMIT clinical risk index (repeat admission, emergent admission, age, diagnosis and discharge, medical comorbidity, intensity, and time in hospital). The inclusion criterion was age 18 and above. There were no exclusion criteria. Findings indicated that age, insurance status, previous lifetime admissions, 'diagnoses and discharge' scores, and higher READMIT clinical risk index scores were associated with 30-day readmissions. Future research should include a prospective study of the READMIT clinical risk index to assess its predictability of 30-day readmissions and explore possible use of the minimum clinical risk index score to trigger evaluation of patient need for enhanced transitional care services posthospital discharge.

To evaluate the prevalence and clinical correlates of metabolic syndrome (MetS) and its components among patients with psychiatric disorders.

A cross-sectional study was conducted among adult patients with psychiatric disorders at major hospitals in Saudi Arabia. After measurements were recorded for all MetS components, demographic and clinical information was obtained mainly by reviewing the patients' medical charts.

The prevalence rate of MetS among the 992 study participants was 41.2%, high triglycerides was 32.8%, large waist circumference was 42.2%, high blood pressure was 42.5%, high fasting blood sugar was 47.8%, and low HDL cholesterol was 52.5%. Participants with MetS were more likely to be older, illiterate, divorced or widowed, have a higher number of children, older age of onset of psychiatric illness, longer duration of psychiatric disease, no previous psychiatric hospitalization, and have a history of diabetes and hypertension. After adjusting for significant demographic and clinical characteristics, none of the psychiatric diagnoses and treatments was independently associated with MetS, except the use of mirtazapine and venlafaxine.

The prevalence of MetS and its components among patients with psychiatric disorders is alarming irrespective of their diagnoses. Thus, metabolic screening especially among high risk groups is critical.

Individuals with serious mental illness (SMI) experience significant comorbid somatic complaints. Little is known about response to integrated inpatient care that addresses psychiatric and general medical needs among individuals with SMI.

Latent growth curve analyses were used to model somatic symptom trajectories across adult inpatients with SMI (n = 989). The Patient Health Questionnaire-15 (PHQ-15) was administered at admission, every 14 days, and at discharge.

Patients evidenced substantial reduction in somatization from admission (mean [standard deviation] = 9.0 [5.2]) to discharge (mean [standard deviation] = 5.2 [4.4]), with large effects (d = 0.83, 95% confidence interval = 0.76-0.90). Results indicate nonlinear improvement in somatic symptoms for 8 weeks of treatment, with greatest symptom reduction occurring during the first weeks of treatment with continued, albeit slowed, improvement until discharge. Initial PHQ-15 scores were lower among men and those who reported regular exercise in the 30 days preceding this hospitalization. In addition, presence of an anxiety disorder or personality disorder at admission; history of trauma, a gastrointestinal disorder, or major medical illness (within the past 3 months); and significant sleep disturbance independently contribute to higher PHQ-15 scores at admission. A substance use disorder and sleep disturbance were associated with greater immediate symptom reduction.

Somatic complaints can be managed in the context of inpatient psychiatric care integrated with 24-hour nursing and internal medicine specialists. Addressing psychiatric impairments, improving sleep, and ensuring abstinence from drugs and alcohol are associated with significant improvement in somatic complaints.

Metabolic abnormalities such as diabetes, obesity and dyslipidaemia are found in much higher rates in people with a diagnosis of schizophrenia when compared with the general population. This review discusses the most prevalent metabolic abnormalities associated with schizophrenia, their frequency and implications for mental health nurses (MHN). This review illuminates the need for MHN to acquire added awareness, knowledge and practical strategies in managing people at high risk of developing metabolic abnormalities associated with MetS. By doing this, it contributes to the literature by highlighting practical strategies for MHN in assessment and ongoing monitoring of metabolic abnormalities in clinical practice. This review highlights the need for MHN to be vigilant in monitoring a person's physical state on commencement and throughout treatment with antipsychotics. There is a need for an early detection monitoring system for people who are potentially at risk of developing metabolic abnormalities. The literature review aimed to investigate metabolic abnormalities associated with metabolic syndrome (MetS) in people diagnosed with schizophrenia; they are almost twice as likely to have metabolic risk factors and die approximately 20 years younger than the general population. MetS has become an issue of growing concern in mental health nursing. A comprehensive literature review was conducted utilizing various databases to address the reviews aim. Databases such as CINAHL Plus with full text (via EBSCO), MEDLINE(R) (OVID), PsycINFO and the COCHRANE library were accessed. The main metabolic abnormalities that emerged were: diabetes, obesity and dyslipidaemia. Antipsychotic medication also plays a vital role in a person's susceptibility to the development of MetS. It is critical that MHN has access to training and education in managing people at high risk of developing metabolic abnormalities associated with MetS. This review contributes to the literature by highlighting practical strategies for MHN in assessment and ongoing monitoring of metabolic abnormalities in clinical practice.

●  People with severe mental illnesses (SMIs) suffer from health inequities and have a higher mortality rate, resulting from a sedentary lifestyle and a high prevalence of undiagnosed and untreated metabolic and cardiovascular risk factors. Cognitive deficits due to SMI symptoms may affect their ability to engage in a healthier lifestyle. ●  Programmes for a healthier lifestyle with physical activity components may improve mental and physical health for people with SMIs. In order to increase physical activity among this population, a new approach was developed as an integrated part of daily care. ●  This programme included a cognitive support in the shape of cognitive adaptation training (CAT) in order to address cognitive impairments, and provided education and individualized support in natural nursing environments to help individuals engage in physical activity (PHYS) and dietary changes (PHYS/CAT).

People with severe mental illness (SMIs) are more prone to physical illnesses, increased mortality and cognitive impairments, all of which negatively influence their daily lives. Physical activity (PHYS) programmes have helped alleviate SMI. LIFEHOPE is an ongoing research project with the purpose of developing a sustainable lifestyle intervention for physical and mental health. PHYS/cognitive adaptation training (CAT) is a newly created lifestyle intervention that provides group education and is based on CAT. It provides individualized support for PHYS and dietary change in a natural nursing environment. The aim of this study was to obtain further knowledge for developing a sustainable lifestyle programme by exploring psychiatric clients' experiences with PHYS and lifestyle habits, which we did by interviewing a local reference group, community mental healthcare users and community mental healthcare workers. Then, we developed a lifestyle programme for people with SMI using information obtained from these focus group interviews. Our results suggest that there is a need for support and education, as well as active interventions, in carrying out PHYS and dietary changes among people with SMIs, and the PHYS/CAT may be a useful strategy.

It is widely acknowledged that there is interplay between physical and mental health, with causality in both directions. A common theme across countries is the uncertainty surrounding who should act as gatekeeper for physical health matters in psychiatry. Much of the metabolic monitoring is carried out by psychiatrists who often feel ill equipped to treat medical problems such as abnormal cholesterol or disturbances of glucose metabolism. However many patients do not attend primary care on a regular basis and may not be likely to follow through on referral to primary care. This review aims to examine the interplay between co-morbid physical and mental health conditions, identify the physical health conditions particularly associated with severe affective and psychotic illness and briefly discuss interventions and recommendations in this area. As people with severe mental illness die 10-20 years younger than their peers, with much of this premature mortality due to cardiovascular disease, this topic is emerging as one of great importance amongst clinicians and policymakers internationally.

The aims of this study were to explore the health-related quality of life (HRQoL) in a large sample of Australian chronically-ill patients (type 2 diabetes and/or hypertension/ischaemic heart disease), to investigate the impact of characteristics of patients and their general practitioners on their HRQoL and to examine clinically significant differences in HRQoL among males and females.

This was a cross-sectional study with 193 general practitioners and 2181 of their chronically-ill patients aged 18 years or more using the standard Short Form Health Survey (SF-12) version 2. SF-12 physical component score (PCS-12) and mental component score (MCS-12) were derived using the standard US algorithm. Multilevel regression analysis (patients at level 1 and general practitioners at level 2) was applied to relate PCS-12 and MCS-12 to patient and general practitioner (GP) characteristics.

Employment was likely to have a clinically significant larger positive effect on HRQoL of males (regression coefficient (B) (PCS-12) = 7.29, P < 0.001, effect size = 1.23 and B (MCS-12) = 3.40, P < 0.01, effect size = 0.55) than that of females (B(PCS-12) = 4.05, P < 0.001, effect size = 0.78 and B (MCS-12) = 1.16, P > 0.05, effect size = 0.16). There was a clinically significant difference in HRQoL among age groups. Younger men (< 39 years) were likely to have better physical health than older men (> 59 years, B = -5.82, P < 0.05, effect size = 0.66); older women tended to have better mental health (B = 5.62, P < 0.001, effect size = 0.77) than younger women. Chronically-ill women smokers reported clinically significant (B = -3.99, P < 0.001, effect size = 0.66) poorer mental health than women who were non-smokers. Female GPs were more likely to examine female patients than male patients (33% vs. 15%, P < 0.001) and female patients attending female GPs reported better physical health (B = 1.59, P < 0.05, effect size = 0.30).

Some of the associations between patient characteristics and SF-12 physical and/or mental component scores were different for men and women. This finding underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The results suggest that chronically ill women attempting to quit smoking may need more psychological support. More quantitative studies are needed to determine the association between GP gender and patient gender in relation to HRQoL.

People with serious mental illness have significantly poorer physical health compared to the general population. Mental health nurses are in a prime position to help reduce unacceptable death in this population. A literature search was undertaken to identify the role of the mental health nurse in regards to physical health care, intervention, and attaining the necessary knowledge to address the physical health needs of people in the UK with serious mental illness. Of 254 papers identified, nine met the inclusion criteria. An integrative literature review found that mental health nurses are not routinely supported by physical health-care education and training, with many expressing role ambiguity. Inpatient setting correlated to a less positive role attitude; poor primary-secondary care interface communication compounded the problem of this vulnerable population having their physical health needs identified and met.

The lifespan of people with severe mental illness (SMI) is shorter compared to the general population. This excess mortality is mainly due to physical illness. We report prevalence rates of different physical illnesses as well as important individual lifestyle choices, side effects of psychotropic treatment and disparities in health care access, utilization and provision that contribute to these poor physical health outcomes. We searched MEDLINE (1966 - August 2010) combining the MeSH terms of schizophrenia, bipolar disorder and major depressive disorder with the different MeSH terms of general physical disease categories to select pertinent reviews and additional relevant studies through cross-referencing to identify prevalence figures and factors contributing to the excess morbidity and mortality rates. Nutritional and metabolic diseases, cardiovascular diseases, viral diseases, respiratory tract diseases, musculoskeletal diseases, sexual dysfunction, pregnancy complications, stomatognathic diseases, and possibly obesity-related cancers are, compared to the general population, more prevalent among people with SMI. It seems that lifestyle as well as treatment specific factors account for much of the increased risk for most of these physical diseases. Moreover, there is sufficient evidence that people with SMI are less likely to receive standard levels of care for most of these diseases. Lifestyle factors, relatively easy to measure, are barely considered for screening; baseline testing of numerous important physical parameters is insufficiently performed. Besides modifiable lifestyle factors and side effects of psychotropic medications, access to and quality of health care remains to be improved for individuals with SMI.

The 2009 World Health Organization report on global health risks identifies hypertension, smoking, raised glucose, physical inactivity, obesity and dyslipidaemia, in that order, as being the top six modifiable global mortality risk factors. Patients with schizophrenia have high levels of all these risk factors. There are a small number of studies showing that interventions can improve these, but prospective long-term studies are not available to show their impact on mortality. A number of studies are now supporting the view that patients with schizophrenia may be dying prematurely as they are not gaining access to or receiving the same medical care as the general population. The literature now suggests that low cardiorespiratory fitness and muscle strength are among the strongest predictors of all-cause mortality in the general population. Smoking is still one of the largest risk factors for premature all-cause mortality. The literature supports the thesis that lifestyle intervention programmes addressing exercise, smoking cessation and compliance with medication are likely to have significant impact on mortality in schizophrenia. It will be important to ensure that all patients with schizophrenia have advocates to ensure appropriate treatment and avoid prejudice, and to establish fitness standards in schizophrenia.