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People living with a severe mental illness experience a life expectancy gap compared to the rest of the population that is largely driven by preventable cardiovascular diseases stemming from lifestyle factors, and the side effects of psychotropic medications. Mental health nurses are well positioned to help address the gap using lifestyle interventions. However, many nurses don't prioritise delivering such care, or lack the skills and confidence to implement these strategies. This study used a mixed method approach to determine the effectiveness of 2-day metabolic workshops that aimed to provide nurses with the skills to provide lifestyle interventions. The quantitative component compares pre and post measures of attitudes, confidence, knowledge and perceived barriers of providing metabolic care using a validated tool (M-BACK) and the qualitative component to elicit more details of the needs, expectations and plans of participants. Fifty-six nurse participants demonstrated statistically significant improvements in M-BACK post scores (p

By tracking a group of individuals through time, cohort studies provide fundamental insights into the developmental time course and causes of health and disease. Evolutionary life history theory seeks to explain patterns of growth, development, reproduction and senescence, and inspires a range of hypotheses that are testable using the longitudinal data from cohort studies. Here we review two decades of life history theory-motivated work conducted in collaboration with the Cebu Longitudinal Health and Nutrition Survey (CLHNS), a birth cohort study that enrolled more than 3000 pregnant women in the Philippines in 1983 and has since followed these women, their offspring and grandoffspring. This work has provided evidence that reproduction carries ���costs��� to cellular maintenance functions, potentially speeding senescence, and revealed an unusual form of genetic plasticity in which the length of telomeres inherited across generations is influenced by reproductive timing in paternal ancestors. Men in Cebu experience hormonal and behavioural changes in conjunction with changes in relationship and fatherhood status that are consistent with predictions based upon other species that practice bi-parental care. The theoretical expectation that early life cues of mortality or environmental unpredictability will motivate a ���fast��� life history strategy are confirmed for behavioural components of reproductive decision making, but not for maturational tempo, while our work points to a broader capacity for early life developmental calibration of systems like immunity, reproductive biology and metabolism. Our CLHNS findings illustrate the power of life history theory as an integrative, lifecourse framework to guide longitudinal studies of human populations.

Sedentary behavior (SB) may be a risk factor for depression in middle- and old age adults. The aim of this study was to examine cross-sectional and longitudinal relationships between SB and depression in a large national sample of Irish people aged 50 and older taking into account a wide range of previously identified influential factors.

Background Previous physical activity (PA) research in schizophrenia has relied largely upon self-report measures. However, the accuracy of this method is questionable. Obtaining accurate measurements, and determining what may influence PA levels in schizophrenia, is essential to understand physical inactivity in this population. This study examined differences in self-reported and objectively measured PA in people with schizophrenia and the general population using a large, population-based dataset from the UK Biobank. Methods Baseline data from the UK Biobank (2007–2010) were analyzed; including 1078 people with schizophrenia (54.19 ± 8.39 years; 55% male) and 450549 without (56.44 ± 8.11; 46% male). We compared self-reported PA with objectively measured accelerometry data in schizophrenia and comparison samples. We also examined correlations between self-report and objective measures. Results People with schizophrenia reported the same PA levels as those without, with no differences in low, moderate, or vigorous intensity activity. However, accelerometry data showed a large and statistically significant reduction of PA in schizophrenia; as people with schizophrenia, on average, engaged in less PA than 80% of the general population. Nonetheless, within the schizophrenia sample, total self-reported PA still held significant correlations with objective measures. Conclusions People with schizophrenia are significantly less active than the general population. However, self-report measures in epidemiological studies fail to capture the reduced activity levels in schizophrenia. This also has implications for self-report measures of other lifestyle factors which may contribute toward the poor health outcomes observed in schizophrenia. Nonetheless, self-report measures may still be useful for identifying how active individuals with schizophrenia relative to other patients.

The life expectancy gap experienced by people living with severe mental illness is primarily a result of cardiometabolic disease that is often exacerbated by side effects of antipsychotic medication. Commencement of atypical antipsychotic medication is commonly associated with weight gain. The Keeping the Body in Mind programme has demonstrated that early intervention with lifestyle activities can attenuate this weight gain and potentially improve long-term health outcomes. The aim of this study was to explore the experiences of young people who participated in the Keeping the Body in Mind programme, a targeted lifestyle intervention programme. A qualitative approach was used employing a semi-structured interview format. The interview schedule included questions related to four topics: aspects of the programmes that were useful, attributes of staff members that influenced the programme, changes in attitudes towards their own physical health, and suggestions for programme improvements. Interviews were recorded with duration ranging from 40 to 65 min. Thematic analysis was used to detect and assemble codes. These were then synthesized and classified into themes. Eleven participants were interviewed (seven males), aged between 18 and 25 years. Thematic analysis revealed four main themes: the role of physical health in mental health recovery; the importance of staff interactions; the value of peer interaction; and graduation to a sustainable healthy lifestyle. Study participants reported that they valued the programme for both their physical health and mental health recovery.

© 2019 Asia Oceania Association for the Study of Obesity Background: Severe mental illness is characterised by a 15-year mortality gap driven by cardiometabolic disease. Antipsychotic treatment leads to increased appetite and rapid weight gain. The 12-week lifestyle pilot intervention improved dietary intake and prevented antipsychotic-induced weight gain. Here we report two-year outcomes. Method: Participants were exposed to an extended program. Weight and waist circumference were measured, and food frequency questionnaire completed. Results: Diet quality was higher, and discretionary food intake was 40% lower, at two-years compared to baseline. Weight and waist-circumference did not increase. Conclusion: This pilot study demonstrated sustained effectiveness of a dietetic intervention in youth with first-episode psychosis with improvements in diet quality and no increase in weight secondary to antipsychotic medication initiation.

BACKGROUND: Sedentary behavior is a growing public health concern in young adolescents from low- and middle-income countries (LMICs). However, a paucity of multinational studies, particularly in LMICs, have investigated correlates of leisure-time sedentary behavior (LTSB) in young adolescents. In the current study, we assessed socio-demographic, socio-economic, socio-cultural and health behavior related correlates of LTSB among adolescents aged 12-15 years who participated in the Global school-based Student Health Survey (GSHS). METHODS: Self-reported LTSB, which was a composite variable assessing time spent sitting and watching television, playing computer games, talking with friends during a typical day excluding the hours spent sitting at school and doing homework, was analyzed in 181,793 adolescents from 66 LMICs [mean (SD) age 13.8 (1.0) years; 49% girls). Multivariable logistic regression was used to assess the potential LTSB correlates. RESULTS: The overall prevalence of =3 hours/day of LTSB was 26.4% (95%CI = 25.6%-27.2%). Increasing age (OR = 1.14; 95%CI = 1.11-1.17), past 30-day smoking (OR = 1.85; 95%CI = 1.69-2.03), alcohol consumption (OR = 2.01; 95%CI = 1.85-2.18), and bullying victimization (OR = 1.39; 95%CI = 1.31-1.48) were positively associated with increased LTSB across the entire sample of 181,793 adolescents. Food insecurity (OR = 0.93; 95%CI = 0.89-0.97) and low parental support/monitoring (OR = 0.91; 95%CI = 0.85-0.98) were negatively associated with LTSB. There were some variations in the correlates between countries. CONCLUSIONS: Our data indicate that in adolescents aged 12 to 15 years living in LMICs, LTSB is a complex and multi-dimensional behavior determined by socio-demograhic, sociocultural, socio-economic, and health behavior related factors. Future longitudinal data are required to confirm/refute these findings, and to inform interventions which aim to reduce sedentary levels in adolescents living in LMICs.

Physical inactivity is a serious public health concern in adolescents from low- and middle-income countries (LMICs). Despite this, only a few multinational studies has investigated correlates of physical activity (PA) in young adolescents in this part of the world. In this study, we identified physical activity correlates using data from the Global school-based Student Health Survey. In total, 142,118 adolescents from 48 LMICs (age 13.8?±?1.0?years; 49% girls) were included in the analyses. PA was assessed by the PACE+ Adolescent Physical Activity Measure and participants were dichotomised into those who do (60?min of moderate-vigorous PA every day of the week) and do not comply with the World Health Organization recommendations. We used multivariable logistic regression in order to assess the correlates. The prevalence of low PA was 15.3% (95%CI?=?14.5%-16.1%). Boys (OR?=?1.64; 95%CI?=?1.47-1.83) and those who participated in physical education for =5?days/week (OR?=?1.12; 95%CI?=?1.10-1.15) were more likely to meet PA guidelines, while adolescents with food insecurity (OR?=?0.85; 95%CI?=?0.80-0.90), low fruit and vegetable intake (OR?=?0.68; 95%CI?=?0.63-0.74), low parental support/monitoring (OR?=?0.68; 95%CI?=?0.62-0.74), no friends (OR?=?0.80; 95%CI?=?0.72-0.88), and who experienced bullying (OR?=?0.93; 95%CI?=?0.86-0.99) were less likely to have adequate levels of PA. There were a few variations in the correlates depending on country-income level. Our data indicate that in adolescents aged 12 to 15?years living in LMICs physical activity participation is a complex and multi-dimensional behavior determined by sociocultural, socio-economic, and policy-related factors. Longitudinal research is needed to confirm/refute the present findings.

INTRODUCTION: Loneliness is widespread and associated with deleterious outcomes in middle-aged and older age people in low- and middle-income countries (LMICs). Physical activity is one potential psychosocial strategy with the potential to reduce loneliness in this population. Thus, the aim of this study was to explore associations between physical activity (PA) and loneliness in middle-aged and older people from six LMICs. MATERIALS AND METHODS: Data from the Study on Global Ageing and Adult Health (SAGE) were analyzed. Self-reported data on loneliness and PA (as assessed by the Global Physical Activity Questionnaire) were collected. Participants were dichotomized into those who do and do not meet the international recommendation of 150 minutes of moderate to vigorous PA per week. Associations between loneliness and PA were examined using logistic regressions. RESULTS: Among 34 129 individuals aged 50 years or older, the prevalence of loneliness was higher among those not meeting the PA guidelines in all countries, although this difference was not significant in Mexico and South Africa. After full adjustment, not meeting PA guidelines was positively associated with loneliness in the meta-analysis based on country-wise estimates, with a moderate level of between-country heterogeneity being observed (OR = 1.31; 95% CI, 1.07-1.61; I(2) = 48.7%). At an individual country level, statistical significance was only reached in Ghana (OR = 1.89; 95% CI = 1.44-2.49). DISCUSSION: Our data suggest that physical inactivity and loneliness commonly co-occur in adults aged 50 years or older in LMICs overall but that this association differs by country. Longitudinal studies are required to confirm these findings and investigate potential mechanisms that may inform future interventions.

BACKGROUND: Despite an increase in studies showing the efficacy of lifestyle interventions in improving the poor health outcomes for people with severe mental illness (SMI), routine implementation remains ad hoc. Recently, a multidisciplinary lifestyle enhancing treatment for inpatients with SMI (MULTI) was implemented as part of routine care at a long-term inpatient facility in the Netherlands, resulting in significant health improvements after 18 months. The current study aimed to identify barriers and facilitators of its implementation. METHODS: Determinants associated with the implementation of MULTI, related to the innovation, the users (patients, the healthcare professionals (HCPs)), and the organisational context, were assessed at the three wards that delivered MULTI. The evidence-based Measurement Instrument for Determinants of Innovations was used to assess determinants (29 items), each measured through a 5-point Likert scale and additional open-ended questions. We considered determinants to which ≥20% of the HCPs or patients responded negatively ("totally disagree/disagree", score 3) as facilitators. We included responses to open-ended questions if the topic was mentioned by ≥2 HCPs or patients. In total 50 HCPs (online questionnaire) and 46 patients (semi-structured interview) were invited to participate in the study. RESULTS: Participating HCPs (n = 42) mentioned organisational factors as the strongest barriers (e.g. organisational changes and financial resources). Patients (n = 33) mentioned the complexity of participating in MULTI as the main barrier, which could partly be due to organisational factors (e.g. lack of time for nurses to improve tailoring). The implementation was facilitated by positive attitudes of HCPs and patients towards MULTI, including their own role in it. Open responses of HCPs and patients showed strong commitment, collaboration and ownership towards MULTI. CONCLUSIONS: This is the first study analysing the implementation of a pragmatic lifestyle intervention targeting SMI inpatients in routine clinical care. Positive attitudes of both HCPs and patients towards such an approach facilitated the implementation of MULTI. We suggest that strategies addressing organisational implementation barriers are needed to further improve and maintain MULTI, to succeed in achieving positive health-related outcomes in inpatients with SMI.

Adolescents spend a high proportion of their leisure time in sedentary behavior, which is associated with adverse physical and mental health outcomes. Exploring factors associated with leisure-time sedentary behavior (LTSB) is important for the development of targeted interventions. The aim of this study was to explore associations between cannabis use and LTSB in adolescents from 24 low- and middle-income countries. Data from the Global School-based Student Health Survey were analyzed. Data on past month cannabis use and LTSB during a typical day were collected. Multivariable logistic regressions were conducted to assess the associations. Among 94,035 adolescents aged 12-15?years [age?=?13.7?±?SD 0.9?years; 49.2% female], the prevalence of high LTSB (=3?h/day) was 26.6%, while 2.8% used cannabis at least once in the past 30?days. In adjusted analyses, compared to those who did not consume cannabis in the past 30?days, the OR (99%CI) for high LTSB among those who used cannabis 1-2 times, 3-9 times, 10-19 times, and =20 times were 0.89 (0.58-1.35), 1.96 (1.26-3.07), 1.97 (0.71-5.47), and 2.34 (0.95-5.78), respectively (test for trend p?0.01). Our data suggest that frequent cannabis use is associated with increased odds for being more sedentary in adolescence. Future longitudinal data are required to confirm/refute the findings to inform public health campaigns.

Objective: To describe a framework for people making and using evidence-informed health system and public health recommendations and decisions. Background: We developed the GRADE Evidence to Decision (EtD) framework for health system and public health decisions as part of the DECIDE project, in which we simultaneously developed frameworks for these and other types of healthcare decisions, including clinical recommendations, coverage decisions and decisions about diagnostic tests. Developing the framework: Building on GRADE EtD tables, we used an iterative approach, including brainstorming, consultation of the literature and with stakeholders, and an international survey of policy-makers. We applied the framework to diverse examples, conducted workshops and user testing with health system and public health guideline developers and policy-makers, and observed and tested its use in real-life guideline panels. Findings: All the GRADE EtD frameworks share the same basic structure, including sections for formulating the question, making an assessment and drawing conclusions. Criteria listed in the assessment section of the health system and public health framework cover the important factors for making these types of decisions; in addition to the effects and economic impact of an option, the priority of the problem, the impact of the option on equity, and its acceptability and feasibility are important considerations that can inform both whether and how to implement an option. Because health system and public health interventions are often complex, detailed implementation considerations should be made when making a decision. The certainty of the evidence is often low or very low, but decision-makers must still act. Monitoring and evaluation are therefore often important considerations for these types of decisions. We illustrate the different components of the EtD framework for health system and public health decisions by presenting their application in a framework adapted from a real-life guideline. Discussion: This framework provides a structured and transparent approach to support policy-making informed by the best available research evidence, while making the basis for decisions accessible to those whom they will affect. The health system and public health EtD framework can also be used to facilitate dissemination of recommendations and enable decision-makers to adopt, and adapt, recommendations or decisions.