Lifestyle Medicine (LM) aims to address six main behavioral domains: diet/nutrition, substance use (SU), physical activity (PA), social relationships, stress management, and sleep. Digital Health ...Interventions (DHIs) have been used to improve these domains. However, there is no consensus on how to measure lifestyle and its intermediate outcomes aside from measuring each behavior separately. We aimed to describe (1) the most frequent lifestyle domains addressed by DHIs, (2) the most frequent outcomes used to measure lifestyle changes, and (3) the most frequent DHI delivery methods.
We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) Extension for Scoping Reviews. A literature search was conducted using MEDLINE, Cochrane Library, EMBASE, and Web of Science for publications since 2010. We included systematic reviews and meta-analyses of clinical trials using DHI to promote health, behavioral, or lifestyle change.
Overall, 954 records were identified, and 72 systematic reviews were included. Of those, 35 conducted meta-analyses, 58 addressed diet/nutrition, and 60 focused on PA. Only one systematic review evaluated all six lifestyle domains simultaneously; 1 systematic review evaluated five lifestyle domains; 5 systematic reviews evaluated 4 lifestyle domains; 14 systematic reviews evaluated 3 lifestyle domains; and the remaining 52 systematic reviews evaluated only one or two domains. The most frequently evaluated domains were diet/nutrition and PA. The most frequent DHI delivery methods were smartphone apps and websites.
The concept of lifestyle is still unclear and fragmented, making it hard to evaluate the complex interconnections of unhealthy behaviors, and their impact on health. Clarifying this concept, refining its operationalization, and defining the reporting guidelines should be considered as the current research priorities. DHIs have the potential to improve lifestyle at primary, secondary, and tertiary levels of prevention-but most of them are targeting clinical populations. Although important advances have been made to evaluate DHIs, some of their characteristics, such as the rate at which they become obsolete, will require innovative research designs to evaluate long-term outcomes in health.
•The prevalence of syndemics on the Preexposure Prophylaxis (PrEP) Brasil Study was 24.2%.•Syndemics was driven by polysubstance use (22.8%) and binge drinking (51.1%).•PrEP delivery is an ...opportunity to provide substance use interventions.
Concurrent psychosocial problems may synergistically increase the risk of HIV infection (syndemics), representing a challenge for prevention. We aimed to evaluate the prevalence and associated factors of syndemics among men who have sex with men (MSM) and transgender women (TGW) enrolled in the Brazilian pre-exposure prophylaxis demonstration study (PrEP Brasil Study).
Secondary cross-sectional analysis of the PrEP Brasil Study was performed. Of 450 HIV-seronegative MSM/TGW enrolled in the PrEP Brasil Study– conducted at Rio de Janeiro and São Paulo, Brazil– 421 participants with complete data were included in the present analysis. Syndemics was defined as occurrence of ≥2 of the following conditions: polysubstance (≥2) use, binge drinking, positive depression screen, compulsive sexual behavior, and intimate partner violence (IPV).
The prevalence of recent polysubstance use was 22.8%, binge drinking 51.1%, positive depression screening 5.2%, compulsive sexual behavior 7.1%, and IPV 7.3%. Syndemics prevalence was 24.2%, and associated factors were younger age (adjusted Odds Ratio (aOR) 0.95, 95% Confidence Interval (95% CI) 0.92–0.98 per year increase), TGW vs. MSM (aOR 3.09, 95% CI: 1.2–8.0), some college education or more vs. less than college (aOR 2.49, 95% CI: 1.31–4.75), and multiple male sexual partners in prior 3 months (aOR 1.69, 95% CI: 0.92–3.14).
Given the high prevalence of syndemics, particularly of polysubstance use and binge drinking, PrEP delivery offers an opportunity to diagnose and intervene in mental and social well-being.
Lifestyle in bipolar disorder: A cross-sectional study Simjanoski, Mario; de Azevedo Cardoso, Taiane; Frey, Benicio N ...
Spanish journal of psychiatry and mental health,
10/2023, Letnik:
16, Številka:
4
Journal Article
Recenzirano
Modifiable lifestyle behaviors are important factors for improving mental health, yet there has been a lack of research studying lifestyle as a multidimensional construct in bipolar disorder (BD). ...The aim of this cross-sectional study was to compare the lifestyle patterns of individuals with BD in a current mood episode with healthy controls (HCs) using the Short Multidimensional Inventory Lifestyle Evaluation (SMILE).
The sample consisted of 46 individuals with BD currently experiencing a depressive or manic episode and 50 HC, assessed using the MINI International Neuropsychiatric Interview, Montgomery-Åsberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS). The SMILE scale assesses lifestyle across seven domains: diet and nutrition, substance abuse, physical activity, stress management, restorative sleep, social support, and environmental exposures. Between-groups comparisons were performed based on the presence of a psychiatric diagnosis and the type of BD episode.
We found significant differences in the total SMILE score (r=0.75, p<0.001) and in scores from each domain of the scale between BD and HC (p<0.05), where individuals with BD in a depressive or manic episode with or without mixed features reported worse lifestyle across all domains. Differences between individuals with BD in different mood episodes across domains on the SMILE scale were non-significant.
Findings from this study highlight the presence of unhealthy lifestyle patterns in people with BD regardless of the polarity of their mood episode. Implementation of multidimensional lifestyle assessments is an essential step toward detecting the clustering of unhealthy lifestyle patterns in BD.
Retention in early HIV care has been associated with virologic suppression and improved survival, but remains understudied in Brazil. We estimated retention in early HIV care for the period ...2000–2013, and identified socio-demographic and clinical factors associated with good retention in an urban cohort from Rio de Janeiro, Brazil. Antiretroviral therapy-naïve, HIV-infected persons ≥18 years old linked to care between 2000 and 2011 were included. Retention in the first 2 years post-linkage (i.e. early care) was defined by the proportion of 6-month intervals with ≥1 HIV laboratory result. “Good” retention was defined as ≥1 HIV laboratory result recorded in at least three intervals. Overall, 80 % of participants met criteria for good retention and retention significantly improved over the study period. Older age, higher education level and early antiretroviral therapy initiation were associated with good retention. Efforts to improve retention in early care in this population should target younger and less-educated HIV-infected persons.
This cross-sectional study describes substance use prevalence and its association with combination antiretroviral therapy (cART) adherence among 3343 individuals receiving care at HIV clinics in ...Argentina, Brazil, Chile, Honduras, Mexico, and Peru. A rapid screening tool evaluated self-reported 7-day recall of alcohol, marijuana, cocaine, heroin, and methamphetamine use, and missed cART doses. Overall, 29.3 % individuals reported having ≥1 alcoholic drinks, 5.0 % reported any illicit drug use and 17.0 % reported missed cART doses. In the logistic regression model, compared to no substance use, alcohol use adjusted odds ratio (AOR) = 2.46, 95 % confidence interval (CI): 1.99–3.05, illicit drug use (AOR = 3.57, 95 % CI: 2.02–6.30), and using both alcohol and illicit drugs (AOR = 4.98, 95 % CI: 3.19–7.79) were associated with missed cART doses. The associations between substance use and likelihood of missing cART doses point to the need of targeting alcohol and illicit drug use to improve adherence among people living with HIV in Latin America.
Highlights • Participants of clinical trial conducted in low/middle income countries were evaluated. • Adherence to antiretrovirals was higher on weekdays than weekends. • Binge drinking was ...associated with greater difference on weekday–weekend adherence.
The aim of our study was to investigate the association between lifestyle behaviors and symptoms of depression and anxiety during the COVID-19 pandemic in Canada. A web survey was conducted between ...July 3–August 3, 2020, across Canada. The main outcomes considered were a positive screening for depression, as evaluated by the PHQ-2 and positive screening for anxiety, as evaluated by the GAD-7. Lifestyle behaviors were assessed using the Short Multidimensional Lifestyle Inventory Evaluation—Confinement (SMILE-C), an instrument adapted for lifestyle behaviors during the COVID-19 pandemic. The total sample size included 404 participants, of which 24.3% had a positive screen for depression, 20.5% for anxiety, and 15.5% for both. We found significant differences in SMILE-C scores between individuals with a positive and individuals with a negative screen for depression (P < .001). Likewise, there were significant differences in SMILE-C scores between individuals with a positive and individuals with a negative screen for anxiety (P < .001). We found an association between unhealthy lifestyle behaviors and symptoms of depression and anxiety during the COVID-19 lockdown in Canada. The findings highlight the importance of lifestyle medicine (LM) education and targeted lifestyle interventions to promote healthy behaviors and help reduce the burden of mental disorders.
Background: Responses to problem substance use have largely focused on illicit drugs, but reports on rising prescription drug misuse worldwide raise questions about their combined use with alcohol ...and potential consequences. The current study assessed prevalence of alcohol in conjunction with nonmedical opioid and benzodiazepine use across a nationally representative sample of adults in Brazil. Methods: Cross-sectional data on prevalence were estimated from the 2015 Brazilian Household Survey on Substance Use. We estimated past month nonmedical use of benzodiazepines and alcohol and past month nonmedical use of opioids and alcohol among adults who reported any past-year alcohol use. Zero-inflated Poisson models assessed independent correlates of alcohol and nonmedical opioid use, and alcohol and nonmedical benzodiazepine use. Results: Among adults who reported past year alcohol use, 0.4% (N = 257,051) reported past month alcohol and non-medical benzodiazepine use, and 0.5% (N = 337,333) reported past month alcohol and non-medical opioid use. Factors independently associated with co-use of alcohol and benzodiazepines included having depression (adjusted prevalence ratio (aPR):4.61 (95%CI 1.76–12.08)), anxiety (aPR:4.21 (95%CI 1.59–11.16)) and tobacco use (aPR: 5.48 (95%CI 2.26–13.27)). Factors associated with past-month alcohol and opioid use included having experienced physical or a threat of violence (aPR: 4.59 (95%CI 1.89–11.14)), and tobacco use (aPR:2.81(95%CI:1.29–6.12)). Conclusions: Co-use of prescription drugs with alcohol remains relatively rare among Brazilians, but findings point to a unique profile of persons at risk. Results of this study are important in light of changing dynamics and international markets of prescription drugs and the need for more research on use of these substances on a global scale.
Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the ...presence of depression and anxiety in the Brazilian general population, using a model developed in Spain.
A web survey was conducted during April-May 2020, which included the Short Multidimensional Inventory Lifestyle Evaluation (SMILE) scale, assessing lifestyle behaviors during the COVID-19 pandemic. Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to develop predictive models. Each technique used a subset of the Spanish sample to train the models, which were then tested internally (vs. the remainder of the Spanish sample) and externally (vs. the full Brazilian sample), evaluating their effectiveness.
The study sample included 22,562 individuals (19,069 from Brazil, and 3,493 from Spain). The models developed performed similarly and were equally effective in predicting depression and anxiety in both tests, with internal test AUC-ROC values of 0.85 (depression) and 0.86 (anxiety), and external test AUC-ROC values of 0.85 (depression) and 0.84 (anxiety). Meaning of life was the strongest predictor of depression, while sleep quality was the strongest predictor of anxiety during the COVID-19 epidemic.
Specific lifestyle behaviors during the early COVID-19 epidemic successfully predicted the presence of depression and anxiety in a large Brazilian sample using machine learning models developed on a Spanish sample. Targeted interventions focused on promoting healthier lifestyles are encouraged.
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