Efficacy of a multimodal lifestyle intervention (The Lift Project) for improving the mental health of individuals with an affective mood disorder living in South Africa.

Background: Affective disorders are becoming more pervasive worldwide, including in Southern Africa, where treating patients with these conditions is challenging due to social and financial constraints. A variety of non-pharmacological approaches including lifestyle medicine (e.g., exercise, nutrition, sleep) and positive psychology practices (e.g., gratitude, service), are effective for treating mental health (MH) conditions. Methods: Twenty-six individuals from South Africa with a diagnosed MH condition participated in a 10-week multimodal intervention incorporating a diverse range of non-pharmacological strategies for improving MH. MH metrics were assessed pre-and post-intervention, including general MH, vitality/energy (VIT), depression, anxiety, stress, and satisfaction with life. MH and VIT were also measured weekly. Results: Improvements were observed in all mental metrics from pre-to post-intervention: MH (59%, p < 0.001, Cohen's D = 1.36), VIT (110%, p < 0.001, Cohen's D = 1.71), depression (-46%, p < 0.001, Cohen's D = -1.06), anxiety (-48%, p < 0.001, Cohen's D = -1.21), stress (-36%, p < 0.001, Cohen's D = -1.08) and life satisfaction (23%, p < 0.001, Cohen's D = 0.66). Significant improvements in MH and VIT were observed after only 1 week of the intervention and progressively increased until the seventh week, after which further improvements were not statistically significant. Conclusion: The findings of this cohort study indicate that a multimodal intervention that incorporates lifestyle and positive psychology practices may benefit individuals living with an affective disorder. Non-pharmacological, multimodal interventions might offer a stigma-free way of providing MH promotion and treatment at a population level.

Volunteers: An Effective Medium for Delivering Therapeutic Lifestyle Interventions.

PURPOSE: Lifestyle modification programs have been shown to effectively treat chronic disease. The Coronary Health Improvement Program has been delivered by both paid professional and unpaid volunteer facilitators. This study compared participant outcomes of each mode in the United States. DESIGN: Pre-/post-analysis of CHIP interventions delivered between 1999 and 2012. SETTING: Professional-delivered programs in Rockford Illinois 1999-2004 and volunteer-delivered programs across North America 2005-2012. SUBJECTS: Adults ≥21 years (professional programs N = 3158 34.3% men, mean age = 54.0 ± 11.4 years; volunteer programs N = 7115 33.4% men, mean age = 57.4 ± 13.0 years). MEASURES: Body mass index, blood pressure (systolic and diastolic), blood lipid profile (total cholesterol, high-density lipoprotein, triglycerides, low-density lipoprotein), and fasting plasma glucose. ANALYSIS: Analysis of Covariance, with adjustment for age, gender, BMI change and baseline biometric and effect sizes. RESULTS: The professional-delivered programs achieved significantly greater reductions in BMI (.4%, P < .001) and HDL (1.9%, P < .001) and the volunteer-delivered programs achieved greater reductions in SBP (1.4%, P < .001), DBP (1.1%, P < .001), TC (1.4%, P = .004), LDL (2.3%, P < .001), TG (4.0%, P = .006), and FPG (2.7%, P < .001). However, the effect size differences between the groups were minimal (Cohen's d .1-.2). CONCLUSIONS: Lifestyle modification programs have been shown to effectively treat chronic disease. The Complete Health Improvement Program (CHIP) lifestyle intervention has been delivered by both paid professional and unpaid volunteer facilitators. This study compared selected chronic disease biometric outcomes of participants in each mode in the United States. It found volunteer-delivered programs do not appear to be any less effective than programs delivered by paid professionals, which is noteworthy as volunteers may provide important social capital in the combat of chronic disease.

The Influence of Gender and Age on the Outcomes of and Adherence to a Digital Interdisciplinary Mental Health Promotion Intervention in an Australasian Nonclinical Setting: Cohort Study.

BACKGROUND: The global prevalence of mental health disorders is at a crisis point, particularly in the wake of COVID-19, prompting calls for the development of digital interdisciplinary mental health promotion interventions (MHPIs) for nonclinical cohorts. However, the influence of gender and age on the outcomes of and adherence to MHPIs is not well understood. OBJECTIVE: The aim of this study was to determine the influence of gender and age on the outcomes of and adherence to a 10-week digital interdisciplinary MHPI that integrates strategies from positive psychology and lifestyle medicine and utilizes persuasive systems design (PSD) principles in a nonclinical setting. METHODS: This study involved 488 participants who completed the digital interdisciplinary MHPI. Participants completed a pre and postintervention questionnaire that used: (1) the "mental health" and "vitality" subscales from the Short Form 36 (SF-36) Health Survey; (2) the Depression, Anxiety and Stress Scale (DASS-21); and (3) Satisfaction With Life Scale (SWL). Adherence to the digital interdisciplinary MHPI was measured by the number of educational videos the participants viewed and the extent to which they engaged in experiential challenge activities offered as part of the program. RESULTS: On average, the participants (N=488; mean age 47.1 years, SD 14.1; 77.5% women) demonstrated statistically significant improvements in all mental health and well-being outcome measures, and a significant gender and age interaction was observed. Women tended to experience greater improvements than men in the mental health and well-being measures, and older men experienced greater improvements than younger men in the mental health and vitality subscales. Multiple analysis of variance results of the adherence measures indicated a significant difference for age but not gender. No statistically significant interaction between gender and age was observed for adherence measures. CONCLUSIONS: Digital interdisciplinary MHPIs that utilize PSD principles can improve the mental health and well-being of nonclinical cohorts, regardless of gender or age. Hence, there may be a benefit in utilizing PSD principles to develop universal MHPIs such as that employed in this study, which can be used across gender and age groups. Future research should examine which PSD principles optimize universal digital interdisciplinary MHPIs. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12619000993190; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377889 and Australian New Zealand Clinical Trials Registry ACTRN12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.

The Influence of Human Support on the Effectiveness of Digital Mental Health Promotion Interventions for the General Population.

Mental wellbeing amongst the general population is languishing-exacerbated by the Coronavirus Disease 2019 (COVID-19) pandemic. Digital mental health promotion interventions, that improve mental health literacy and encourage adoption of evidence-informed practical strategies are essential. However, attrition and non-adherence are problematic in digital interventions. Human support is often applied as an antidote; yet, there is a paucity of randomized trials that compare different human support conditions amongst general population cohorts. Limited trials generally indicate that human support has little influence on adherence or outcomes in DMHPIs. However, providing participants autonomy to self-select automated support options may enhance motivation and adherence.

The effectiveness of an online interdisciplinary intervention for mental health promotion: a randomized controlled trial.

BACKGROUND: There is an urgent need for efficacious interventions to combat the global mental health crisis, and mental health promotion and primary prevention approaches are paramount. The aim of this study is to examine whether an online interdisciplinary intervention that incorporates evidence-based strategies from the disciplines of Lifestyle Medicine and Positive Psychology improves measures of mental health and emotional wellness. METHODS: A randomized controlled trial with a wait-list control (N = 425, aged 46.97 ± 14.5, 69.9% females) was conducted in Australia and New Zealand. The intervention group participated in a 10-week online interdisciplinary intervention. Primary outcome measures of mental health and emotional wellness were taken at baseline (Week 1), post-intervention (Week 12), and 12 weeks post-intervention (Week 24). The wait-list control completed the same assessments. RESULTS: General Linear Modelling analyses indicated that the intervention group experienced significantly greater improvements than the wait-list control group over time in all outcome measures: mental health (F(319) = 7.326, p = 0.007) and vitality (F(319) = 9.445, p = 0.002) subscales of the Short Form Survey (SF-36); depression (F(319) = 7.841, p = 0.005), anxiety (F(319) = 4.440, p = 0.36) and stress (F(319) = 12.494, p < 0.001) scales of the Depression, Anxiety and Stress Scale (DASS-21); and life satisfaction (F(319) = 8.731, p = 0.003) as measured by the Satisfaction With Life Scale. Within the intervention group, significant improvements were observed from Week 1 to 12 in all outcome measures: mental health (10%, t(167) = - 6.423), p < 0.001, dz = 0.50), vitality (22%, t(167) = - 7.043, p < 0.001, dz = 0.54), depression (- 41%, t(167) = 6.189, p < 0.001, dz = 0.48), anxiety (- 38%, t(167) = 5.030, p < 0.001, dz = 0.39), stress (- 31%, t(167) = 6.702, p < 0.001, dz = 0.52) and life satisfaction (8%, t(167) = - 6.199, p < 0.001, dz = 0.48). Improvements in the outcome measures remained significant in the intervention group at 12 weeks post-intervention. CONCLUSION: The online interdisciplinary intervention improved measures of mental health and emotional wellness suggesting that such interventions may be useful for mental health promotion and prevention. Trial registration The Australian New Zealand Clinical Trials Registry. ACTRN12619000993190. Registered on 12 July 2019 (Retrospectively registered). The ANZCTRN is part of the WHO Primary Registries.

Participant Perceptions of Facilitators and Barriers to Adherence in a Digital Mental Health Intervention for a Nonclinical Cohort: Content Analysis.

BACKGROUND: Digital mental health promotion interventions (MHPIs) present a scalable opportunity to attenuate the risk of mental health distress among nonclinical cohorts. However, adherence is frequently suboptimal, and little is known about participants' perspectives concerning facilitators and barriers to adherence in community-based settings. OBJECTIVE: This study aimed to examine participants' perceptions of facilitators and barriers to adherence in a web- and mobile app-based MHPI for a nonclinical cohort. METHODS: This qualitative study used inductive, reflexive thematic analysis to explore free-text responses in a postintervention evaluation of a 10-week digital MHPI. The intervention was administered using a web and mobile app from September to December 2018. Participants (N=320) were Australian and New Zealand members of a faith-based organization who self-selected into the study, owned a mobile phone with messaging capability, had an email address and internet access, were fluent in English, provided informed consent, and gave permission for their data to be used for research. The postintervention questionnaire elicited participants' perceptions of facilitators and barriers to adherence during the intervention period. RESULTS: Key factors that facilitated adherence were engaging content, time availability and management, ease of accessibility, easy or enjoyable practical challenges, high perceived value, and personal motivation to complete the intervention. The primary perceived barrier to adherence was the participants' lack of time. Other barriers included completing and recording practical activities, length of video content, technical difficulties, and a combination of personal factors. CONCLUSIONS: Time scarcity was the foremost issue for the nonclinical cohort engaged in this digital MHPI. Program developers should streamline digital interventions to minimize the time investment for participants. This may include condensed content, optimization of intuitive web and app design, simplified recording of activities, and greater participant autonomy in choosing optional features. Nonetheless, participants identified a multiplicity of other interindividual factors that facilitated or inhibited adherence.

Addressing the COVID-19 Mental Health Crisis: A Perspective on Using Interdisciplinary Universal Interventions.

Mental health is reaching a crisis point due to the ramifications of COVID-19. In an attempt to curb the spread of the virus and circumvent health systems from being overwhelmed, governments have imposed regulations such as lockdown restrictions and home confinement. These restrictions, while effective for infection control, have contributed to poorer lifestyle behaviors. Currently, Positive Psychology and Lifestyle Medicine are two distinct but complimentary disciplines that offer an array of evidence-based approaches for promoting mental health and well-being across a universal population. However, these strategies for improving mental health are typically used in isolation. This perspective calls for a new paradigm shift to create and rollout well-designed interdisciplinary universal multicomponent mental health interventions that integrates the benefits of both disciplines, and uses innovative digital mental health solutions to achieve scalability and accessibility within the limitations and beyond the COVID-19 lockdown and restrictions.

The Influence of Three Modes of Human Support on Attrition and Adherence to a Web- and Mobile App-Based Mental Health Promotion Intervention in a Nonclinical Cohort: Randomized Comparative Study.

BACKGROUND: The escalating prevalence of mental health disorders necessitates a greater focus on web- and mobile app-based mental health promotion initiatives for nonclinical groups. However, knowledge is scant regarding the influence of human support on attrition and adherence and participant preferences for support in nonclinical settings. OBJECTIVE: This study aimed to compare the influence of 3 modes of human support on attrition and adherence to a digital mental health intervention for a nonclinical cohort. It evaluated user preferences for support and assessed whether adherence and outcomes were enhanced when participants received their preferred support mode. METHODS: Subjects participated in a 10-week digital mental health promotion intervention and were randomized into 3 comparative groups: standard group with automated emails (S), standard plus personalized SMS (S+pSMS), and standard plus weekly videoconferencing support (S+VCS). Adherence was measured by the number of video lessons viewed, points achieved for weekly experiential challenge activities, and the total number of weeks that participants recorded a score for challenges. In the postquestionnaire, participants ranked their preferred human support mode from 1 to 4 (S, S+pSMS, S+VCS, S+pSMS & VCS combined). Stratified analysis was conducted for those who received their first preference. Preintervention and postintervention questionnaires assessed well-being measures (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing). RESULTS: Interested individuals (N=605) enrolled on a website and were randomized into 3 groups (S, n=201; S+pSMS, n=202; S+VCS, n=201). Prior to completing the prequestionnaire, a total of 24.3% (147/605) dropped out. Dropout attrition between groups was significantly different (P=.009): 21.9% (44/201) withdrew from the S group, 19.3% (39/202) from the S+pSMS group, and 31.6% (64/202) from the S+VCS group. The remaining 75.7% (458/605) registered and completed the prequestionnaire (S, n=157; S+pSMS, n=163; S+VCS, n=138). Of the registered participants, 30.1% (138/458) failed to complete the postquestionnaire (S, n=54; S+pSMS, n=49; S+VCS, n=35), but there were no between-group differences (P=.24). For the 69.9% (320/458; S, n=103; S+pSMS, n=114; S+VCS, n=103) who completed the postquestionnaire, no between-group differences in adherence were observed for mean number of videos watched (P=.42); mean challenge scores recorded (P=.71); or the number of weeks that challenge scores were logged (P=.66). A total of 56 participants (17.5%, 56/320) received their first preference in human support (S, n=22; S+pSMS, n=26; S+VCS, n=8). No differences were observed between those who received their first preference and those who did not with regard to video adherence (P=.91); challenge score adherence (P=.27); or any of the well-being measures including, mental health (P=.86), vitality (P=.98), depression (P=.09), anxiety (P=.64), stress (P=.55), life satisfaction (P=.50), and flourishing (P=.47). CONCLUSIONS: Early dropout attrition may have been influenced by dissatisfaction with the allocated support mode. Human support mode did not impact adherence to the intervention, and receiving the preferred support style did not result in greater adherence or better outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.

A Multimodal Intervention for Improving the Mental Health and Emotional Well-being of College Students.

This study examined the effectiveness of a 10-week multimodal intervention for improving the mental health and emotional well-being of college students when included as a mandatory component of the students' course of study. A total of 67 students (20.9 ± 5.4 years, 30 male/37 female) participated in the intervention that introduced a variety of evidence-based strategies for improving mental health and emotional well-being from the Lifestyle Medicine and Positive Psychology literature. Significant reductions were recorded in symptoms of depression (-28%, P < .05), anxiety (-31%, P < .05), and stress (-28%, P < .01), whereas significant improvements were observed in mental health (18%, P < .01), vitality (14%, P < .01) and overall life satisfaction (8%, P < .05). Effect sizes were larger than those reported by studies that have examined the individual effectiveness of the strategies incorporated into the intervention, suggesting a compounding effect. Stratified analyses indicated that participants with the lowest measures of mental health and emotional well-being at baseline experienced the greatest benefits. The findings of the study suggest that meaningful improvements in the mental health and emotional well-being of college students can be achieved, and potentially magnified, by utilizing a multidisciplinary approach involving evidence-based strategies from Lifestyle Medicine and Positive Psychology.

A Web- and Mobile App-Based Mental Health Promotion Intervention Comparing Email, Short Message Service, and Videoconferencing Support for a Healthy Cohort: Randomized Comparative Study.

BACKGROUND: The rapid increase in mental health disorders has prompted a call for greater focus on mental health promotion and primary prevention. Web- and mobile app-based interventions present a scalable opportunity. Little is known about the influence of human support on the outcomes of these interventions. OBJECTIVE: This study aimed to compare the influence of 3 modes of human support on the outcomes (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing) of a 10-week, Web- and mobile app-based, lifestyle-focused mental health promotion intervention among a healthy adult cohort. METHODS: Participants were recruited voluntarily using a combination of online and offline advertising. They were randomized, unblinded into 3 groups differentiated by human support mode: Group 1 (n=201): standard-fully automated emails (S); Group 2 (n=202): standard plus personalized SMS (S+pSMS); and Group 3 (n=202): standard plus weekly videoconferencing support (S+VCS), hosted by 1 trained facilitator. Participants accessed the intervention, including the questionnaire, on a Web-based learning management system or through a mobile app. The questionnaire, administered at pre- and postintervention, contained self-reported measures of mental well-being, including the "mental health" and "vitality" subscales from the Short Form Health Survey-36, Depression Anxiety and Stress Scale-21, Diener Satisfaction With Life Scale (SWLS), and Diener Flourishing Scale. RESULTS: Of 605 potential participants, 458 (S: n=157, S+pSMS: n=163, and S+VCS: n=138) entered the study by completing registration and the preintervention questionnaire. At post intervention, 320 out of 458 participants (69.9%; S: n=103, S+pSMS: n=114, and S+VCS: n=103) completed the questionnaire. Significant within-group improvements were recorded from pre- to postintervention in all groups and in every outcome measure (P≤.001). No significant between-group differences were observed for outcomes in any measure: mental health (P=.77), vitality (P=.65), depression (P=.93), anxiety (P=.25), stress (P.57), SWLS (P=.65), and Flourishing Scale (P=.99). Adherence was not significantly different between groups for mean videos watched (P=.42) and practical activity engagement (P=.71). Participation in videoconference support sessions (VCSSs) was low; 37 out of 103 (35.9%) participants did not attend any VCSSs, and only 19 out of 103 (18.4%) attended 7 or more out of 10 sessions. Stratification within the S+VCS group revealed that those who attended 7 or more VCSSs experienced significantly greater improvements in the domains of mental health (P=.006; d=0.71), vitality (P=.005; d=0.73), depression (P=.04; d=0.54), and life satisfaction (P=.046; d=0.50) compared with participants who attended less than 7. CONCLUSIONS: A Web- and mobile app-based mental health promotion intervention enhanced domains of mental well-being among a healthy cohort, irrespective of human support. Low attendance at VCSSs hindered the ability to make meaningful between-group comparisons. Supplementing the intervention with VCSSs might improve outcomes when attendance is optimized. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.

Factors predicting the mental health of adolescents attending a faith-based Australian school system: a multi-group structural equation analysis.

Background: Adolescents attending Seventh-day Adventist schools (Adventist) in Australia tend to experience good health and exhibit better health behaviors than national norms, however few studies have investigated factors predicting their mental health.Aims: The aim of this study was to explore the complex network of factors that predict the mental health status (MHS) of adolescents attending Adventist schools in Australia.Methods: A survey instrument was used to collect data from 1527 secondary school students attending Adventist schools across Australia. Structural equation modeling was employed to examine concomitantly the direct and indirect effects of childhood experiences, present attitudes and selected health behaviors on MHS.Results: Childhood family dynamics had the strongest association with MHS (ßtotal = 0.33) followed by a sense of meaning and purpose (ßtotal = 0.27), perceived social misfit status (ßtotal = -0.19), and school academic performance (ßtotal = 0.18). Multi-group analysis found significant pathway differences in the model for gender with regards to the association of meaning and purpose, physical activity and sleep quantity with MHS.Conclusions: The outcomes of the study highlight the importance of early positive childhood family dynamics and the discovery of meaning and purpose during adolescence to promote positive mental health among adolescents.

Protocol: investigating the effectiveness and cost benefit of a lifestyle intervention targeting type 2 diabetes in Australia.

BACKGROUND: Type 2 Diabetes Mellitus (T2DM) has become an endemic disease. A number of interrelated factors increase the risk of the onset of T2DM, however much of the pathogenesis of the disease is associated with lifestyle. A number of studies have indicated that adopting positive lifestyle changes can successfully prevent or delay the onset of T2DM in a number of different population groups. The CHIP intervention is a lifestyle program that has been shown in over more than 30 published papers have indicated that the CHIP intervention leads to dramatic improvement in the indicators of T2DM these diseases of lifestyle. METHODS: A randomized control trial will be conducted involving 150 individuals with an established diagnosis of T2DM. All participants will continue to receive usual ongoing diabetes care, however, the intervention group (75 individuals) will in addition participate in a 12-week CHIP lifestyle intervention programme followed by a further 9 months of monthly follow-up appointments. Approval for funding was obtained on 30 June 2017. DISCUSSION: The outcomes of this study have the potential to inform decisions about patient treatment and potentially provide incentive for the provision of funded lifestyle-based preventive and restorative programs for patients diagnosed with T2DM. TRIAL REGISTRATION: This trial is registered as an initial version with the Australia New Zealand Clinical Trials Registry ( http://www.anzctr.org.au/ ), registration number ACTRN12617001233314. Registered on 23/08/2017. No enrollments in the study to date.

HDL subfraction changes with a low-fat, plant-based Complete Health Improvement Program (CHIP).

BACKGROUND AND OBJECTIVES: Low HDL concentrations are considered an important risk factor for cardiovascular disease. Interventions promoting a low-fat, plant-based eating pattern appear to reduce CVD risk while paradoxically also reducing HDL concentrations. Recent studies show HDL to comprise a range of subfractions, but the role these play in ameliorating the risk of CVD is unclear. The purpose of this study was to characterise changes in HDL subfractions in participants where HDL decreased following the CHIP intervention which promotes a low-fat, plant-based diet, with physical activity. METHODS AND STUDY DESIGN: Individuals (n=22; mean age=55.4±16.3 years; 45.5% men, 54.5% women) participating in a CHIP intervention were assessed at baseline and 30 days for changes in BMI, blood pressure, lipid profile, (including large-, intermediate- and small-HDL subfractions) and fasting glucose. RESULTS: HDL significantly decreased (10.6%, p<0.001) together with BMI (2.5%, p=0.028), systolic blood pressure (7.1%, p=-0.005), total cholesterol (9.5%, p=0.002), LDL (11.2%, p=0.007) and fasting glucose (8.2%, p=0.028). Triglycerides (TG) did not significantly change. Physical activity (22.7%, p=0.016) and consumption of whole plant-foods (13.9%, p=0.003) significantly increased, while nonplant (energy and animal) foods decreased (43.1%, p=0.009). Large-, intermediate- and small-HDL decreased (-10.0%, p=0.003; -8.3%, p=0.013 and 22%, p=0.005, respectively). CONCLUSIONS: This paper discusses specific changes in HDL subfractions when overall-HDL decreases as a response to low fat, whole-food, plant-based eating and exercise. Additional research is required to elucidate the reasons through which behavioural therapies remodel the HDL particle and how this impacts the functional properties of HDL and CVD risk.

The association between self-rated health and social environments, health behaviors and health outcomes: a structural equation analysis.

BACKGROUND: The factors shaping the health of the current generation of adolescents are multi-dimensional and complex. The purpose of this study was to explore the determinants of self-rated health (SRH) of adolescents attending a faith-based school system in Australia. METHODS: A total of 788 students attending 21 Seventh-day Adventist schools in Australia responded to a health and lifestyle survey that assessed SRH as well as potential determinants of SRH including the health outcomes mental health, vitality, body mass index (BMI), select health behaviors, social factors and personal demographics. Structural equation modeling was used to analyze the data and examine the direct and indirect effects of these factors on SRH. RESULTS: The structural model developed was a good fit with the data. The health outcome mental health had the strongest association with SRH (ß = 0.17). Several upstream variables were also associated with higher SRH ratings. The health behavior sleep hours had the strongest association with SRH (ßtotal = 0.178) followed by fruit/vegetable consumption (ßtotal = 0.144), physical activity (ßtotal = 0.135) and a vegetarian diet (ßtotal = 0.103). Of the demographic and social variables measured, adverse childhood experiences (ACEs) had the strongest association with SRH (ßtotal = - 0.125), negatively influencing SRH, and gender also associated with an increase in SRH (ßtotal = 0.092), with the influence of these factors being mediated through other variables in the model. CONCLUSIONS: This study presents a conceptual model that illustrates the complex network of factors concomitantly associated with SRH in adolescents. The outcomes of the study provide insights into the determinants of adolescent SRH which may inform priority areas for improving this construct.

Religious Affiliation Influences on the Health Status and Behaviours of Students Attending Seventh-Day Adventist Schools in Australia.

Students attending Seventh-day Adventist (Adventist) schools in Australia have been shown to have better health status and behaviours compared to secular norms, yet these schools cater for a high percentage of non-Adventist students. The purpose of this study was to investigate the influence of religious affiliation (Adventist/non-Adventist) on the health status and behaviours of students attending Adventist secondary schools in Australia. The sample included 1734 students who responded to a health and lifestyle survey that captured demographic details, self-reported height and weight, self-reported health status, mental health and select health behaviours. Students who identified themselves as Adventist reported significantly better health behaviours than the non-Adventist students in several behavioural domains, especially among the male students. However, this did not translate to a difference in health status. Further research is needed to understand the causal mechanisms responsible for the potential health advantage of Adventist students, which may include family or church religious influences.

The Body Mass Index of Adolescents Attending Seventh-Day Adventist Schools in Australia: 2001-2012.

BACKGROUND: We examined the body mass index (BMI) of students attending Seventh-day Adventist (Adventist) schools in Australia in 2001 and 2012. METHODS: A total of 3069 students attending Adventist schools in Australia responded to a health and lifestyle survey in 2001 (N = 1335) and 2012 (N = 1734). The survey captured self-reported height and weight, demographics (age, sex, year level, religion), and select health behaviors. RESULTS: Compared with national norms, lower rates of overweight and obesity were observed in the study cohort, but higher rates of underweight. There was no change in the mean BMI of the students attending Adventist schools in Australia from 2001 to 2012. Regression analyses indicated that a lower BMI was associated with age, sex, more regularly eating breakfast, consuming less soft drink, and having a regular exercise program. The students reported a high consumption of fruits, vegetables, and whole grains compared with Australian national norms, and 29% claimed to be vegetarian. CONCLUSIONS: Students attending Adventist schools appear to have a lower prevalence of overweight and obesity than the secular population, but a higher prevalence of underweight. The mechanisms through which Adventist schools may influence student's BMI warrants further investigation.

The role of obesity in the onset of type 2 diabetes mellitus.

The onset of type 2 diabetes mellitus is associated with various modifiable and non-modifiable risk factors, including lifestyle factors. Obesity is the principal lifestyle factor associated with an increased risk of developing type 2 diabetes. It is essential for nurses to have an understanding of the pathophysiology associated with factors that contribute to an increased risk of type 2 diabetes, particularly those associated with obesity. Nurses who have an understanding of the interaction between obesity and the onset of type 2 diabetes are better equipped to discuss the importance of weight loss and other necessary lifestyle adjustments in the prevention and management of obesity and diabetes associated with obesity, to implement evidence-based practice and to support patients to manage their health effectively.

Optimizing the Intensity of Lifestyle Medicine Interventions: Similar Outcomes for Half the Sessions.

Lifestyle medicine interventions are typically intensive by design. This study explored the optimal "dosage" of a well-known lifestyle medicine intervention-the Complete Health Improvement Program (CHIP). A total of 2383 individuals (mean age = 61.0 ± 9.2 years; 34% males) participated in either an 8-session (N = 448) or 16-session (N = 1935) version of the CHIP intervention conducted over 4 weeks in community settings throughout North America. Both the 8- and 16-session groups experienced significant improvements in all the chronic disease risk factors measured. There was no difference between the changes experienced by the 8- and 16-session groups in lipid profile, fasting plasma glucose, or systolic blood pressure. The 8-session group experienced a significantly greater reduction in body mass (0.3 percentage points or 0.8 lbs, P < .01), but the 16-session group recorded a significantly greater reduction in diastolic blood pressure (2.8 percentage points or 2.2 mm Hg, P < .01). There was no clear difference between the outcomes achieved in 4 weeks by the 8- and 16-session versions of the CHIP lifestyle medicine intervention. This study suggests that the short-term outcomes achieved by a 16-session CHIP intervention can be achieved in half the number of sessions, which has implications from a resourcing and cost-effectiveness perspective.