Combined healthy lifestyle and depressive symptoms: a meta-analysis of observational studies

Clusters of healthy lifestyle behaviours are associated with symptoms of depression, anxiety, and psychological distress: A systematic review and meta-analysis of observational studies

Engagement in healthy and unhealthy lifestyle behaviours are related to a range of mental health outcomes. Most existing research has focussed on individual lifestyle behaviours, so it is not clear the extent to which clusters of healthy lifestyle behaviours relate to mental health outcomes. Therefore, this study aimed to systematically review and quantitatively synthesise research which have examined the association between clusters of lifestyle behaviours with symptoms of depression, anxiety, and psychological distress. A systematic search of five electronic databases were conducted to identify studies which used person-centred approaches (e.g., cluster analysis, latent class analysis) to identify subgroups of participants based on at least two unique lifestyle behaviours (i.e., physical activity/sedentary behaviours, diet, sleep, alcohol/tobacco/drug use) and examined differences in symptoms of depression, anxiety, or psychological distress between clusters. A correlated and hierarchical random effects meta-analysis was used to synthesise the results. A total of 81 studies reporting on nearly one-million individual participants were included in the review. Results demonstrated that participants who engaged in the healthiest clusters of lifestyle behaviours reported significantly fewer symptoms of depression (SMD = -0.41), anxiety (SMD = -0.43) and psychological distress (SMD = -0.34) compared to participants engaging in less healthy combinations of lifestyle behaviours, and a dose response relationship was observed across outcomes. These results demonstrate that there is a moderate-to-strong relationship between engaging in clusters of healthy lifestyle behaviours and mental health outcomes and demonstrate the importance of considering healthy lifestyle as a whole instead of as individual parts.

Lifestyle behaviours and physical, psychological, and cognitive multimorbidity among older hypertensive population in remote areas of China

OBJECTIVES

With the intensification of aging, the proportion of people affected by multimorbidity is steadily increasing worldwide. In remote areas of China, where economic development is lagging and healthcare resources are limited, the older hypertensive population may experience a higher burden of multimorbidity. However, comprehensive evidence is still lacking on how specific combinations of lifestyle behaviours (LBs) impact particular multimorbidity health outcomes in older hypertensive individuals.

STUDY DESIGN

A cross-sectional study was conducted among the older hypertensive population (aged ≥65 years) from 1 July to August 31, 2023 in Jia County, a remote area of China.

METHODS

A total of 40 diseases were categorized into physical, psychological and cognitive disorders. Multivariable-adjusted logistic regression models were used to estimate ORs and 95 % CIs for the associations between LBs and multimorbidity.

RESULTS

Among 17,728 participants, the prevalence of physical, psychological, cognitive, physical-psychological multimorbidity (PPsM), physical-cognitive multimorbidity (PCM), psychological-cognitive multimorbidity (PsCM), and physical-psychological-cognitive multimorbidity (PPsCM) were 63.55 %, 30.12 %, 64.55 %, 22.31 %, 42.03 %, 22.57 %, and 16.74 %, respectively. Compared to participants without any healthy LBs, those with five healthy LBs were associated with a lower risk of physical, psychological, cognitive, PPsM, PCM, PsCM, and PPsCM. Overall, the risk of adverse outcomes decreased with the number of healthy LBs (Ptrend<0.001). However, combinations of healthy LBs of the same quantity but from different categories exhibited varying impacts on the outcomes.

CONCLUSIONS

Multimorbidity involving physical, psychological, and cognitive disorders poses a significant challenge for managing hypertention. Strengthening the capacity of primary healthcare workers to promote healthy lifestyle practices and identifying the optimal LB combinations should be prioritized in the management of hypertensive individuals in remote areas of China.

The impact of lifestyle sports on the sleep quality of depressed high school students in Jiangsu Province, China: based on cross-sectional study

OBJECTIVE

Lifestyle sports refer to the stable forms and behavioral characteristics formed by individuals or groups of individuals who regularly and consciously participate in sports activities, which are divided into six dimensions: joviality type, challenge type, health type, beauty type, study type, and society type. High school students have a high prevalence of depression, and lifestyle sports are important factors affecting depression and depression-induced sleep quality problems. This paper intends to investigate the relationship between the six dimensions of lifestyle sports and the sleep quality of depressed high school students.

METHODS

In 129 high schools in 13 cities of Jiangsu Province, approximately 300 male and female students were selected for a questionnaire survey in each high school via the Lifestyle Sports Scale, the Self-rating Depression Scale (SDS), and the Pittsburgh Sleep Quality Index Scale (PSQI), and a stratified random sampling method was used. A total of 40,000 questionnaires were distributed, and 32,974 questionnaires were valid. The mediation model of depression between lifestyle sports and sleep quality was constructed via the Model4 model and other models in the SPSS macro program Process4.0. From the 32,974 valid questionnaires, 14,943 depressed high school students (SDS ≥ 53) were screened out, and structural equation modeling of the relationships between the six dimensions of lifestyle sports and the sleep quality of depressed high school students has been established via AMOS 28.0.

RESULTS

(1) Lifestyle sports significantly and positively predicted depression (P < 0.001), positively predicted sleep quality (P < 0.001), and depression significantly and positively predicted sleep quality (P < 0.001), and depression significantly mediated the relationship between high school students' lifestyle sports and sleep quality (β = 0.004, accounting for 29.91% of the total effect value). (2) The joviality type, challenge type, health type, beauty type, study type and society type of lifestyle sports significantly and positively predicted sleep quality in depressed high school students (P < 0.01), with the correlation coefficients between joviality type (β = 0.75, P < 0.01) and study type (β = 0.75, P < 0.01) of lifestyle sports and the sleep quality of depressed high school students being the largest.

CONCLUSION

Depression significantly mediated the relationship between lifestyle sports and sleep quality in high school students. All six dimensions of lifestyle sports are significantly positively correlated with sleep quality in depressed high school students, with the strongest correlations for the joviality type and study type.

The Cross-Sectional Association of Health Literacy With Healthy Lifestyle Behaviors in the Turkish Population: A Systematic Review and Meta-Analysis

OBJECTIVE

To meta-analytically investigate the cross-sectional association between health literacy (HL) and healthy lifestyle behaviors (HLBs) in the Turkish population.

DATA SOURCE

Web of Science, PubMed, Scopus, EBSCO, DergiPark, TRDizin, and Türkiye Council of Higher Education Thesis Center.

EXCLUSION CRITERIA

Not accessible in Turkish or English in full text; not on the Turkish population; addressed e-HL, digital HL, mobile HL or corporate HL; addressed HL in a specific context; did not seek any association between HL and HLBs.

INCLUSION CRITERIA

Cross-sectional studies that reported a correlation coefficient or any convertible equal statistical measure for the association between HL and HLBs.

DATA EXTRACTION

Two reviewers independently screened the articles, extracted the data from the included studies into a structured form and assessed their methodological quality.

DATA SYNTHESIS

We conducted meta-analyses and reported the characteristics, outcomes, and quality assessment of studies.

RESULTS

Of 3833 records accessed we included 52 that fulfilled the eligibility criteria. Our primary findings demonstrated positive low-to-moderate associations between HL and health-promoting behaviors (r = .32 [CI:.30-.35; I2 = .00]), HL and physical activity (r = .23 [CI:.18-.27; I2 = .12]), and HL and vaccination (r = .12 [CI:.07-.17; I2 = .00]). In contrast, HL was not significantly associated with non-smoking (r = .02 [CI:-.02-.36; I2 = .09]), healthy diet (r = .02 [CI:-.01-.06; I2 = .00]), and screening (r = .07 [CI:.04-.11; I2 = .07]). However, our sensitivity and meta-regression analysis results suggested that the association of HL with healthy diet seems to increase with age. On the other hand, we failed to find any convincing evidence of any of the included variables affecting the association between HL and all types of HLBs (r = .17, I2 = 95.81%).

CONCLUSION

HL has the potential to improve the HLBs of Turkish individuals, however, there is a need for better understanding of the possible underlying determinants of the association between them.

The association between depressive symptoms and lower urinary tract symptoms and impact among women: Investigating behavioural, cognitive and physiological pathways

OBJECTIVE

Mechanistic studies are needed to understand why depressive symptoms are associated with poorer physical health. The objective of this study was to examine whether behavioural, cognitive and physiological factors mediated an association between depressive symptoms, measured in early adulthood, and lower urinary tract symptoms (LUTS) and their impact, a composite variable measured in mid-life adulthood, among women in the Coronary Artery Risk Development in Young Adults study, conducted in four regions of the United States.

DESIGN

Prospective cohort study.

METHODS

Data were examined for 871 women. Depressive symptoms were measured and averaged across Years 5, 10 and 15. Year 20 health behaviour combined information about smoking, physical activity and diet. Year 25 cognitive function combined performance on different cognitive tests. Year 25 metabolic syndrome combined standard risk criteria for waist circumference, triglycerides, high-density lipoprotein, blood pressure and glucose. A cluster analysis of urinary incontinence, other LUTS and impact data-collected two years after Year 25-was used to group women into one of four categories: no or very mild symptoms with no impact (bladder health) versus mild, moderate or severe symptoms/impact.

RESULTS

Structural equation modelling showed a statistically significant direct path between depressive symptoms and LUTS/impact. Tests of indirect paths showed that health behaviours, cognitive function and metabolic syndrome did not mediate the association between depressive symptoms and LUTS/impact.

CONCLUSIONS

Depressive symptoms in early adulthood appear to be associated with LUTS and their impact in mid-life adulthood over and above health behaviours, cognitive function and metabolic syndrome.

Estimating cardiovascular mortality in patients with hypertension using machine learning: The role of depression classification based on lifestyle and physical activity

PURPOSE

This study aims to harness machine learning techniques, particularly the Random Survival Forest (RSF) model, to assess the impact of depression on cardiovascular disease (CVD) mortality among hypertensive patients. A key objective is to elucidate the interplay between mental health, lifestyle, and physical activity while comparing the effectiveness of the RSF model against the traditional Cox proportional hazards model in predicting CVD mortality.

METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2014 were used for comprehensive depression screening. The Patient Health Questionnaire-9 (PHQ-9) was employed to categorize depression severity levels among participants. The final cohort included 9271 participants, selected after excluding those with incomplete data. Participants were followed up for a median of 7.1 years, and cardiovascular mortality was assessed up to December 31, 2019. We employed the RSF model to predict cardiovascular mortality with high effectiveness and precision. And to ensure comparability, we developed the traditional Cox proportional hazards model using the same set of predictors.

RESULTS

RSF model outperformed the Cox proportional hazards model in predicting cardiovascular mortality among hypertensive patients with varying depression levels. The RSF model's integrated area under the curve (iAUC) scores were 0.842, 0.893, and 0.760 for none, mild, and severe depression, respectively, surpassing the Cox model's scores of 0.826, 0.805, and 0.746.

CONCLUSION

The RSF model provides a more accurate prediction of CVD mortality among hypertensive patients with varying degrees of depression, offering a valuable tool for personalized patient care. Its ability to stratify patients into risk categories can assist healthcare professionals in making informed decisions, underscoring the potential of machine learning in public health and clinical settings. This model demonstrates particular utility in settings where detailed, patient-specific risk assessments are critical for managing long-term health outcomes. Future research should focus on external validation and integration of more diverse variables to enhance predictive power.

Exploring sedentary behavior, neutrophil-to-lymphocyte ratio, and depression: Mediation analysis in NHANES

BACKGROUND

Sedentary behavior and depression have been linked to inflammation. However, the specific role of inflammation in the relationship between sedentary behavior and depression remains unclear.

METHOD

We examined associations among the inflammatory marker (neutrophil-to-lymphocyte ratio [NLR]), sedentary behavior, and depression in a robust, ethnically diverse sample (n = 29,769) from the National Health and Nutrition Examination Survey (NHANES).

RESULT

Our findings indicate that individuals experiencing depression and/or engaging in sedentary behavior show elevated levels of the NLR. Even after adjusting for confounding variables such as age, sex, and body mass index, sedentary behavior remains significantly associated with both depression and NLR levels. Additionally, our analysis reveals a non-linear relationship between NLR levels and depression, suggesting a complex interaction. Importantly, NLR partially mediates a modest yet statistically significant portion (1.920 %, p = 0.014) of the association between sedentary behavior and depression.

CONCLUSION

This study highlights the intricate interplay among sedentary behavior, inflammation, and depression, providing insights into potential avenues for intervention and management.

Genetic influences, lifestyle and psychosocial aspects in relation to metabolically healthy obesity and conversion to a metabolically unhealthy state

AIMS

About 10%-30% of individuals with obesity are metabolically healthy, but the specific characteristics of the metabolically healthy obesity (MHO) phenotype remain unclear. We aimed to examine how physical activity, education, depressive symptoms and genetic predisposition to obesity differ between individuals with MHO and those with metabolically unhealthy obesity (MUO), and whether these factors predict stability in MHO or conversion to a metabolically unhealthy state.

MATERIALS AND METHODS

We retrieved data on 9809 individuals with obesity from the Health and Retirement Study collected between 2006 and 2016. We compared how physical activity, education, depressive symptoms and a polygenic score for higher body mass index (BMI) (PGSBMI) differed cross-sectionally between MHO and MUO using logistic regression. We then examined if the same factors predict conversion to a metabolically unhealthy state over 4 years in individuals with MHO.

RESULTS

Individuals with MHO had higher physical activity (odds ratio [OR] = 0.81), higher education (OR = 0.83) and lower depressive symptoms (OR = 1.14) compared to those with MUO but did not differ in the PGSBMI. The associations were slightly attenuated in mutually adjusted models. None of the factors were associated with conversion from MHO to a metabolically unhealthy state. However, a higher PGSBMI indicated 24% lower risk of conversion to a metabolically unhealthy state (p = 0.07).

CONCLUSIONS

Physical activity, education and depressive symptoms differed between MHO and MUO, even when mutually adjusted for, but did not predict conversion from a metabolically healthy to unhealthy state. Although not statistically significant, the results indicated that those with genetically predicted high BMI are more likely to maintain MHO and not convert to a metabolically unhealthy state.

Association of unemployment and increased depressive symptoms with all-cause mortality: follow-up study of a cardiovascular prevention programme

Unemployment has been associated with increased risk of cardiovascular disease (CVD) and all-cause mortality. However, factors behind this association remain unsettled. A primary care CVD prevention programme was conducted in two Finnish towns in 2005-07. Of the participants (n = 4450), a cohort of apparently healthy CVD risk subjects belonging to the labour force (n = 1487) was identified. Baseline depressive symptoms were assessed by Beck's Depression Inventory. Data on employment status and mortality were obtained from official statistics. The effect of employment status and depressive symptoms on all-cause mortality after a median follow-up of 15 years was estimated in models adjusted for age, sex, body mass index, non-high-density lipoprotein cholesterol, physical activity, alcohol use, current smoking, glucose metabolism, and hypertension. In comparison to employed non-depressive subjects, fully adjusted hazard ratio (HR) for all-cause mortality was 3.53 (1.90-6.57) in unemployed subjects with increased depressive symptoms, 1.26 (0.68-2.34) in unemployed non-depressive subjects, and 1.09 (0.63-1.90) in employed depressive subjects. Factors independently associated with mortality were unemployment with increased depressive symptoms [HR 3.56 (95% CI 1.92-6.61)], screen-detected diabetes [HR 2.71 (95% CI 1.59-4.63)], current smoking [HR 1.77 (95% CI 1.19-2.65)], and higher age [HR 1.10 (95% CI 1.05-1.15)]. Unemployment in itself was not associated with all-cause mortality. If unemployment was accompanied with increased depressive symptoms, risk of death was significantly elevated.

The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials

BACKGROUND/OBJECTIVES

Depression, anxiety, and stress are common mental health issues that affect individuals worldwide. This systematic review and meta-analysis examined the effectiveness of various lifestyle interventions including physical activity, dietary changes, and sleep hygiene in reducing the symptoms of depression, anxiety, and stress. Using stress as an outcome and conducting detailed subgroup analyses, this study provides novel insights into the differential effects of lifestyle interventions across diverse populations.

METHODS

Five databases were systematically searched: PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar, for gray literature searches. Keywords were used to search each database. The search period was from the conception of the databases until August 2023 and was conducted in English. For each analysis, Hedges' g was reported with a 95% confidence interval (CI) based on the random-effects method. Subgroups were analyzed and heterogeneity and publication bias were examined.

RESULTS

Ninety-six randomized clinical trial studies were included in this meta-analysis. Lifestyle interventions reduced depression (Hedges g -0.21, 95% confidence interval -0.26, -0.15; p < 0.001; I2 = 56.57), anxiety (Hedges g -0.24, 95% confidence interval -0.32, -0.15; p < 0.001; I2 = 59.25), and stress (-0.34, -0.11; p < 0.001; I2 = 61.40).

CONCLUSIONS

Lifestyle interventions offer a more accessible and cost-effective alternative to traditional treatments and provide targeted benefits for different psychological symptoms.

Combined healthy lifestyle factors and psychosocial outcomes among cancer survivors: a systematic review and meta-analysis

PURPOSE

This systematic review aims to summarize the associations between combined healthy lifestyles and psychosocial outcomes (health-related quality of life (HRQOL), depression, anxiety, psychological distress (PD), and posttraumatic stress disorder (PTSD)) among cancer survivors.

METHODS

PubMed, Web of Science, Cochrane Library, and EMBASE were searched for observational and interventional studies examining healthy lifestyle scores (HLS, calculated by a combination of at least three lifestyles) and psychosocial outcomes among cancer survivors from inception to April 2024. A minimum of two studies with the same study design were pooled using random effects models.

RESULTS

Twenty-one studies (44,812 survivors) were included. Of all studies, 16 of which were included in meta-analysis. The pooling of cross-sectional evidence shows significant association between HLS and overall, physical, and psychosocial HRQOL. Significance was only observed for overall and physical HRQOL but not for psychosocial HRQOL in cohort studies. The estimations and 95% confidence interval (CI) with 1-point increase in HLS were 1.47 (0.83-2.12) and 1.42 (0.19-2.65) for overall and physical HRQOL, respectively. The evidence from interventional studies also indicated that interventions on multiple lifestyles have positive effects on the physical but not psychosocial HRQOL. Despite the limited number of studies, significant associations were found between HLS and depression, anxiety, PD, and PTSD.

CONCLUSIONS

Although evidence is limited, we found that the combination of multiple healthier lifestyles is associated with better psychosocial outcomes in cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

This review underscores the potential for adhering to multiple healthy lifestyles to improve psychosocial outcomes and enhance HRQOL for cancer survivors.

Interplay Cognitive Emotion Regulation and Health-Promoting Lifestyle Profile on Poor Sleep Quality in Adolescents

Background and Objective Adolescence is an important period of development, the main goal of this research was to investigate whether lifestyle can mediate the relationship between cognitive emotion regulation strategies and sleep quality.Methods This multicenter study was conducted between December 2023 and March 2024. The target population was adolescent girls between 12–18 years old. A total of 318 adolescents participated in this study in person. Pearson’s correlation coefficient was first used to check the relationships between research variables. Next, linear regression was used to draw predictive relationships based on independent and dependent variables. To investigate the mediator variable, path analysis was used and the result of the Sobel test was used.Results The R2 showed that 22% of the variance of poor sleep quality was explained by the predictor variables. Among of predictor variables in the model, health-promoting lifestyle profile and maladaptive strategies were significant and predicted poor sleep quality. The mediation role of a health-promoting lifestyle in the relationship between adaptive emotion regulation strategies and poor sleep quality was significant, the coefficient of the indirect path was equal to -0.18 and the Sobel test was equal to -4.68.Conclusions Current research has shown that cognitive emotion regulation strategies are related to poor sleep quality and this effect is mediated by a healthy lifestyle.

Associations of 24-hour movement behaviors with depressive symptoms in rural-dwelling older adults: a compositional data analysis

BACKGROUND

We aimed to explore the association of sleep duration with depressive symptoms among rural-dwelling older adults in China, and to estimate the impact of substituting sleep with sedentary behavior (SB) and physical activity (PA) on the association with depressive symptoms.

METHODS

This population-based cross-sectional study included 2001 rural-dwelling older adults (age ≥ 60 years, 59.2% female). Sleep duration was assessed using the Pittsburgh Sleep Quality Index. We used accelerometers to assess SB and PA, and the 15-item Geriatric Depression Scale to assess depressive symptoms. Data were analyzed using restricted cubic splines, compositional logistic regression, and isotemporal substitution models.

RESULTS

Restricted cubic spline curves showed a U-shaped association between daily sleep duration and the likelihood of depressive symptoms (P-nonlinear < 0.001). Among older adults with sleep duration < 7 h/day, reallocating 60 min/day spent on SB and PA to sleep were associated with multivariable-adjusted odds ratio (OR) of 0.81 (95% confidence interval [CI] = 0.78-0.84) and 0.79 (0.76-0.82), respectively, for depressive symptoms. Among older adults with sleep duration ≥ 7 h/day, reallocating 60 min/day spent in sleep to SB and PA, and reallocating 60 min/day spent on SB to PA were associated with multivariable-adjusted OR of 0.78 (0.74-0.84), 0.73 (0.69-0.78), and 0.94 (0.92-0.96), respectively, for depressive symptoms.

CONCLUSIONS

Our study reveals a U-shaped association of sleep duration with depressive symptoms in rural older adults and further shows that replacing SB and PA with sleep or vice versa is associated with reduced likelihoods of depressive symptoms depending on sleep duration.

The Relationship between Lifestyle Behaviors and Mental Illness in Women in College

Women, particularly those in college, have the highest prevalence of any mental illness (MI), which negatively impacts social connection, academic performance, and health. Research into alternative treatment methods suggests that lifestyle behaviors are safer and more effective than medication at reducing MI symptoms. This study explores the relationship between lifestyle behaviors and MI in college women through an online survey. The survey included a food frequency questionnaire (Diet History Questionnaire II) and questions about lifestyle behaviors, symptoms of MI, and sociodemographic information. Diet quality was calculated using the Healthy Eating Index (HEI), and MI was assessed using the Depression, Anxiety, and Stress Scale-21. Independent sample t-tests, ANOVA, and chi-square analyses were conducted. A total of 222 women completed the survey. Overall, diet quality was poor, with a mean HEI of 62.6 ± 10.4. No significant differences or associations were found between MI groups for total HEI score, sleep, or tobacco use. However, alcohol use was significantly associated with MI (p = 0.049). Individuals with fewer concurrent unhealthy lifestyle behaviors had less severe symptoms of depression (p = 0.009) and anxiety (p < 0.001) compared to those with more unhealthy lifestyle behaviors. In this study, alcohol use was the only independent lifestyle behavior associated with symptoms of MI. We also found an association between the number of concurrent unhealthy lifestyle behaviors and depression and anxiety symptoms. Future research should explore the benefits of a healthy lifestyle on MI in a more diverse sample of women.

Construction of a risk prediction model for detecting postintensive care syndrome-mental disorders

BACKGROUND

Postintensive care syndrome (PICS) has adverse multidimensional effects on nearly half of the patients discharged from ICU. Mental disorders such as anxiety, depression and post-traumatic stress disorder (PTSD) are the most common psychological problems for patients with PICS with harmful complications. However, developing prediction models for mental disorders in post-ICU patients is an understudied problem.

AIMS

To explore the risk factors of PICS mental disorders, establish the prediction model and verify its prediction efficiency.

STUDY DESIGN

In this cohort study, data were collected from 393 patients hospitalized in the ICU of a tertiary hospital from April to September 2022. Participants were randomly assigned to modelling and validation groups using a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was performed to select the predictors, multiple logistic regression analysis was used to establish the risk prediction model, and a dynamic nomogram was developed. The Hosmer-Lemeshow (HL) test was performed to determine the model's goodness of fit. The area under the receiver operating characteristic (ROC) curve was used to evaluate the model's prediction efficiency.

RESULTS

The risk factors of mental disorders were Sepsis-related organ failure assessment (SOFA) score, Charlson comorbidity index (CCI), delirium duration, ICU depression score and ICU sleep score. The HL test revealed that p = .249, the area under the ROC curve = 0.860, and the corresponding sensitivity and specificity were 84.8% and 71.0%, respectively. The area under the ROC curve of the verification group was 0.848. A mental disorders dynamic nomogram for post-ICU patients was developed based on the regression model.

CONCLUSIONS

The prediction model provides a reference for clinically screening patients at high risk of developing post-ICU mental disorders, to enable the implementation of timely preventive management measures.

RELEVANCE TO CLINICAL PRACTICE

The dynamic nomogram can be used to systematically monitor various factors associated with mental disorders. Furthermore, nurses need to develop and apply accurate nursing interventions that consider all relevant variables.

Depressive symptoms and smoking: Effect on mortality in a primary care cohort

OBJECTIVE

Depressive symptoms have been suggested to increase mortality risk but causality remains unproven. Depressive symptoms increase likelihood of smoking which is thus a potential factor modifying the effect of depressive symptoms on mortality. This study aims to assess if the association of depressive symptoms and all-cause mortality is affected by smoking.

METHODS

A prospective cohort study in Finnish primary care setting was conducted among 2557 middle-aged cardiovascular disease (CVD) risk persons identified in a population survey. Baseline depressive symptoms were assessed by Beck's Depression Inventory (BDI) and current smoking by self-report. Data on mortality was obtained from the official statistics. Effect of depressive symptoms and smoking on all-cause mortality after 14-year follow-up was estimated.

RESULTS

Compared to non-depressive non-smokers, the adjusted hazard ratio (HR) for all-cause mortality was 3.10 (95% CI 2.02 to 4.73) and 1.60 (95% CI 1.15 to 2.22) among smoking subjects with and without depressive symptoms, respectively. Compared to the general population, relative survival was higher among non-depressive non-smokers and lower among depressive smokers. Relative standardized mortality ratio (SMR) for all-cause mortality was 1.78 (95% CI 1.31 to 2.44) and 3.79 (95% CI 2.54 to 6.66) among non-depressive and depressive smokers, respectively, compared to non-depressive non-smokers. The HR for all-cause mortality and relative SMR of depressive non-smokers were not increased compared to non-depressive non-smokers.

CONCLUSION

Current smoking and increased depressive symptoms seem to additively contribute to excess mortality.

Determinants of depressive symptoms at individual, school and province levels: a national survey of 398,520 Chinese children and adolescents

OBJECTIVES

The aims of this study were to describe the national distribution of depressive symptoms in Chinese children and adolescents, to examine the determinants of depressive symptoms at individual, school and province levels and to assess the gender and age differences in the effect of school factors on depressive symptoms.

STUDY DESIGN

This was a national cross-sectional study.

METHODS

A school-based online survey was conducted in mainland China from between December 1, 2021, and January 1, 2022. A total of 398,520 eligible participants were included in the analysis. School-level data were drawn from students, headteachers and Baidu Maps, and province-level data were obtained from the national human development report. The Patient Health Questionnaire-2 was used to measure depressive symptoms.

RESULTS

Areas with the highest mean scores for depressive symptoms were in the northeastern, inner central and southwestern regions of China. At the individual level, younger age, male sex, being an only child, Han ethnicity, lower body mass index, more days of exercise, less drinking and smoking behaviours, higher subjective family socio-economic status (SES) and popularity in school were related to fewer depressive symptoms; however, objective family SES and maternal education were not related to fewer depressive symptoms. The school-level variables of public status, psychological activities and psychological courses and province-level variable of higher Human Development Index were associated with fewer depressive symptoms. The effect of psychological courses and activities on depressive symptoms was greater in females.

CONCLUSIONS

The results showed multilevel factors related to depressive symptoms and emphasised the importance of implementing school-based psychological activities to ameliorate depressive symptoms in Chinese children and adolescents across age and gender.

Eating behaviors and depressive symptoms among Japanese workers: the Furukawa Nutrition and Health Study

BACKGROUND/OBJECTIVES

In addition to the potential effects of nutrients on mood, eating behaviors have been suggested to be associated with depressive symptoms. We investigated the prospective association between the accumulation of unhealthy eating behaviors and depressive symptoms in a Japanese working population.

METHODS

Participants were 914 workers (aged 19-68 years) who did not have depressive symptoms at baseline (April 2012 and May 2013) and attended a 3-year follow-up survey (April 2015 and May 2016). Unhealthy eating behaviors (skipping breakfast, eating dinner just before bedtime, and snacking after dinner) were assessed at baseline. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale at follow-up. Multiple logistic regression was used to estimate the odds ratio of depressive symptoms (CES-D score ≥16) at follow-up according to the number of unhealthy eating behaviors.

RESULTS

In a model with adjustment of background factors, participants having 2-3 unhealthy eating behaviors at baseline had significantly higher risk of developing depressive symptoms (OR, 2.02; 95% CI, 1.21-3.38) compared with those having no such behaviors. After adjustment for occupational and lifestyle factors, the association was slightly attenuated but remained significant (OR, 1.87; 95% CI, 1.10-3.21). This association was further attenuated and became statistically non-significant after additional adjustment for nutritional factors (OR, 1.67; 95% CI, 0.96-2.90).

CONCLUSIONS

Our results suggest that the accumulation of unhealthy eating behaviors is associated with an increased risk of depressive symptoms and that this association may be partly ascribed to a lower intake of nutrients with mood-improving effects.

Unraveling the associations between unhealthy lifestyle behaviors and mental health in the general adult Chinese population: A cross-sectional study

BACKGROUND

This study examined the cumulative risk of unhealthy lifestyle behaviors and the associations between overall lifestyle and common mental disorders (CMDs), insomnia, stress, health-related quality of life (HRQOL), and functional impairment. Additionally, the treatment preferences for managing CMDs and insomnia were examined.

METHODS

A survey was conducted on 1487 Chinese Hong Kong adults, assessing their lifestyle behaviors (i.e., diet and nutrition, substance use, physical activity, stress management, restorative sleep, social support, and environmental exposures), mental health-related outcomes, and treatment preferences via a vignette.

RESULTS

The findings revealed significant additive relationships between the number of 'worse' lifestyle domains and the risk of all outcomes. A healthier overall lifestyle was significantly associated with reduced risks of all outcomes (AORs = 0.88 to 0.93). Having healthier practices in diet and nutrition, substance use, stress management, restorative sleep, and social support domains were significantly associated with lower risks of all outcomes (AORs = 0.93 to 0.98), except that substance use was not significantly associated with stress. Physical activity was inversely associated with only depressive symptoms (AOR = 0.98), anxiety symptoms (AOR = 0.99), and stress (AOR = 0.99). Environmental exposures were not significantly associated with functional impairment but with all other outcomes (AORs = 0.98 to 0.99). Besides, lifestyle interventions (55 %) were significantly more preferred for managing CMDs and insomnia relative to psychotherapy (35.4 %) and pharmacotherapy (9.6 %).

CONCLUSIONS

Our findings underscore the importance of considering lifestyle factors when managing CMDs, insomnia, stress, HRQOL, and functional impairment, with a particular emphasis on adopting a multicomponent treatment approach.

Prevalence and associated factors for depressive symptoms among the general population from 31 provinces in China: The utility of social determinants of health theory

BACKGROUND

Depression is one of the most common types of mental disorders. Guided by the theory of social determinants of health (SDH), the study aimed to assess the prevalence of depressive symptoms and to identify factors related to depressive symptoms in the general population of China.

METHODS

A cross-sectional, online survey was conducted among 101,392 residents from 31 provinces of mainland China from January to March 2019, and 97,126 survey responses were included in the final analysis. Multilevel linear regression models were used to identify SDH associated with depressive symptoms.

RESULTS

The prevalence of depressive symptoms (PHQ-9 scores ≥10) in Chinese residents was 15.81 %. The results of the multilevel analysis demonstrated that depressive symptoms were affected by various factors on five levels, including individual characteristics, behavioral lifestyle, community support network, social structural factors, and macro social factors.

LIMITATIONS

The cross-sectional design of the study makes it difficult to establish causality between variables.

CONCLUSIONS

The prevalence of depressive symptoms is high among general population in China. According to the theory of SDH, the study shows that the depressive symptoms are complex and involves all areas of social life. Therefore, adopting a multi-level, cross-sectoral intervention approach will be instrumental to improving the mental health of residents in China.

Isoflavone intake and depressive symptoms among workers

BACKGROUND & AIM

High intake of isoflavones has been reported to be associated with decreased prevalence of depressive symptoms. However, no prospective study has examined this association. We prospectively investigated the association between isoflavone intake and depressive symptoms in a Japanese working population.

METHODS

Participants were 1162 workers (1033 men and 129 women aged 18-68 years) without depressive symptoms at baseline. Dietary intake was assessed using a validated self-administered diet history questionnaire. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. Cox proportional hazards regression for interval-censored data was used to estimate the hazard ratio of depressive symptoms (CES-D ≥16) according to the tertile of isoflavone intake with adjustment for covariates.

RESULTS

During 5065 person-years of follow-up, 276 (23.8 %) workers were newly identified as having depressive symptoms. Isoflavone intake was not associated with risk of depressive symptoms. After adjustment for lifestyle and dietary factors and baseline CES-D score, the multivariable-adjusted hazard ratios (95 % confidence interval) for the lowest through highest tertile of isoflavone intake were 1.00 (reference), 0.93 (0.66-1.31), and 0.93 (0.62-1.38) (P for trend = 0.70).

CONCLUSIONS

Our findings suggest that higher isoflavone intake is not associated with decreased risk of depressive symptoms among Japanese.

Associations between unhealthy lifestyle and depression: Cross-sectional results from the Spanish National Health Survey

INTRODUCTION

Depression usually worsens lifestyle habits, but previous evidence also suggests that an unhealthy lifestyle (UL) increases the risk of depression. Many studies have analyzed the association between lifestyle and depression in several nationally representative samples, but none have done so in the Spanish adult population. Our aim was to examine the associations between UL habits and depression in Spain.

MATERIALS AND METHODS

Analysis of cross-sectional data from the latest National Health Survey published in 2018 (N=23,089). Data on depression and 4 lifestyle factors (diet, physical exercise, smoking, and alcohol consumption) were used. These factors were combined into an UL index ranging from 0 (healthiest lifestyle) to 4 (unhealthiest lifestyle). The prevalence of depression at different levels of the UL index, and the association between depression and both the cumulative UL index and the 4 UL factors was analyzed using parametric and non-parametric tests.

RESULTS

Sedentarism was the most prevalent UL factor, followed by unhealthy diet, smoking and high-risk alcohol consumption. Having ≥1 UL factors was associated with a higher prevalence of depression compared to having 0 UL factors (2.5% vs. ≥5.2%), regardless of the cumulative number UL factors (1, 2, 3 or 4). Being physically inactive (OR=1.6) and a smoker (OR=1.3) increased the likelihood of depression. Being a high-risk wine drinker (OR=0.26) decreased the likelihood of depression. Dietary intake was not significant.

CONCLUSIONS

The prevalence of depression changes depending on several modifiable lifestyle factors. Policy makers should therefore spare no resources in promoting strategies to encourage healthy lifestyles and prevent the acquisition of UL habits.

Depression and lifestyle: Focusing on nutrition, exercise, and their possible relevance to molecular mechanisms

Accumulating evidence has suggested the important role of lifestyle factors in depressive disorder. This paper aimed to introduce and outline recent research on epidemiological and intervention studies on lifestyle-related factors in depressive disorder with a special focus on diet. Evidence on exercise, sleep. and related behaviors is also described. Here, findings from meta-analytic studies are emphasized and related studies by the author's research group are introduced. Dietary factors that increase the risk of the illness include energy overload, skipping breakfast, unhealthy diet styles such as Western diet, inflammation-prone diet, and high consumption of ultraprocessed food (UPF). Nutritional imbalances such as inadequate intake of protein, fish (Ω3 polyunsaturated fatty acids), vitamins (folate and vitamin D), and minerals (iron and zinc) increases the risk of depression. Poor oral hygiene, food allergy, addiction to alcohol, and smoking constitute risk factors. Sedentary lifestyle and increased screen time (e.g. video games and the internet) confer the risk of depression. Insomnia and disturbed sleep-wake rhythm are also involved in the pathogenesis of depression. There is accumulating evidence at the meta-analysis level for interventions to modify these lifestyle habits in the protection and treatment of depressive disorder. Main biological mechanisms of the link between lifestyle factors and depression include monoamine imbalance, inflammation, altered stress response, oxidative stress, and dysfunction of brain-derived neurotrophic factor, although other players such as insulin, leptin, and orexin also play a role. To increase resilience to modern stress and ameliorate depression through modification of lifestyle habits, a list of 30 recommendable interventions is presented.

The dilution effects of healthy lifestyles on the risk of depressive symptoms attributed to life-course disadvantages among Chinese middle-aged and older adults

BACKGROUND

Life-course disadvantages and unhealthy lifestyles are well-known to independently induce depressive symptoms, but whether adopting healthy lifestyles can dilute the depressive risks attributed to life-course disadvantages remain unknown in China.

METHODS

This population-based cross-sectional study included 5724 middle-aged and older people from the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms and healthy lifestyles (including regular exercise, reasonable sleep, never smoking, and no heavy alcohol consumption) were collected in 2018 while life-course disadvantages were collected in 2014.

RESULTS

Multiple healthy lifestyles were associated with decreased depressive risks more significantly as the life-course disadvantages increased, with odds ratios (ORs) and 95 % confidence intervals (CIs) of 0.44 (0.25-0.80) and 0.33 (0.21-0.53) for 4 healthy lifestyles in participants with mild and severe life-course disadvantages, respectively. Life-course disadvantages and unhealthy lifestyles had enormous joint effects on depressive symptoms. Finally, adopting multiple healthy lifestyles can dilute the depressive risks attributed to life-course disadvantages and even mask some risks attributed to childhood disadvantages.

LIMITATIONS

Given that dietary data were not gathered by the CHARLS, diet was not included in the lifestyles used in this study. In addition, information on life-course disadvantages was primarily self-reported, which may lead to potential recall bias. Finally, the cross-sectional design of this study cannot capture causal associations well.

CONCLUSIONS

Adopting multiple healthy lifestyles can well-dilute the depressive risks attributed to life-course disadvantages in middle-aged and older Chinese, which is of great importance for reducing the depressive burden and the construction of healthy aging in China.

Oxidative balance scores and depressive symptoms: Mediating effects of oxidative stress and inflammatory factors

BACKGROUND

Few studies have examined the combined effects of dietary and lifestyle factors on depressive symptoms. This study aimed to evaluate the association between oxidative balance score (OBS) and depressive symptoms and the underlying mechanisms.

METHODS

A total of 21,283 adults from the 2007 to 2018 National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were defined as a total score of ≥10 on the Patient's Health Questionnaire (PHQ-9). Twenty dietary and lifestyle factors were selected to calculate the OBS. Multivariable logistic regression analyses were used to evaluate the association between OBS and depression risk. Mediation analyses were conducted to explore the roles of oxidative stress and inflammatory markers.

RESULTS

In multivariate model, a significant negative association was found between OBS and depression risk. Compared with those in OBS tertile 1, participants in tertile 3 had lower odds of developing depressive symptoms (OR:0.50; 95 % CI:0.40-0.62; P < 0.001). Restricted cubic splines showed a linear relationship between OBS and depression risk (P for nonlinearity = 0.67). Moreover, higher OBS was found to be associated with lower depression scores (β = -0.07; 95 % CI:-0.08, -0.05; P < 0.001). GGT concentrations and WBC counts mediated the association between OBS and depression scores by 5.72 % and 5.42 %, respectively (both P < 0.001), with a joint mediated effect of 10.77 % (P < 0.001).

LIMITATIONS

This study was a cross-sectional design making it difficult to infer a causal association.

CONCLUSIONS

OBS is negatively associated with depression, which may be mediated in part by oxidative stress and inflammation.

Bidirectional associations and a causal mediation analysis between depressive symptoms and chronic digestive diseases: A longitudinal investigation

BACKGROUND

Chronic digestive diseases (CDDs) and depression shared major pathogeneses. We aimed to prospectively examine the bidirectional incidence associations between depressive symptoms and CDDs and explore biologically and behaviorally relevant mediators in the bidirectional associations.

METHODS

Multivariable-adjusted Cox proportional hazard models were used to examine baseline depressive symptoms in relation to incident CDDs among 10,974 adults and the relation of baseline CDDs with new-onset elevated depressive symptoms among 7489 participants in the China Health and Retirement Longitudinal Study of nationally representative middle-aged and older adults. Elevated depressive symptoms were defined as the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10) score at or higher than 10 and CDDs (except for tumor and cancer) were determined by self-reported physician diagnoses. Causal mediation analysis was performed to assess the mediated effects of a priori selected blood biomarkers and lifestyle factors in the bidirectional associations.

RESULTS

Prevalence of elevated depressive symptoms and nonmalignant CDDs at baseline was 33.05 % and 17.8 % respectively. During a mean of 5.47 years of follow-up, elevated depressive symptoms significantly increased hazard of CDDs by 1.66 folds (95%CI = 1.49-1.84). Having CDDs at baseline was associated with a 27 % (95%CI = 16 %-39 %) increased hazard of developing elevated depressive symptoms. Shorter sleeping duration at night nominally significantly mediated 8.76 % of the association between depressive symptoms and incident CDDs while no significant mediators were identified in the converse association.

LIMITATIONS

Limited mediator information and inadequately long follow-up may reduce chance of identifying significant mediators.

CONCLUSIONS

Depressive symptoms and CDDs were mutual independent risk factors. Early screening and management of depressive symptoms and sleep disturbance are suggested in the prevention of CDDs and related comorbidities.

Determinants of adherence to recommendations on physical activity, red and processed meat intake, and body weight among lynch syndrome patients

This study aimed to identify determinants of adherence to lifestyle and body weight recommendations for cancer prevention among Lynch Syndrome (LS) patients. Cross-sectional baseline data of LS patients participating in the Lifestyle & Lynch (LiLy) study was used to assess determinants of adherence to the World Cancer Research Fund cancer prevention recommendations on body weight, physical activity, and red and processed meat intake. Adherence and potential determinants of adherence were assessed using questionnaires. Multivariable logistic regression analyses were conducted to identify determinants of adherence. Of the 211 participants, 50.2% adhered to the body weight recommendation, 78.7% adhered to the physical activity recommendation, and 33.6% adhered to the red and processed meat recommendation. Being younger and having a higher level of education were associated with adherence to the recommendation on body weight. Having knowledge about the recommendation was associated with adherence to the recommendations on physical activity and red and processed meat. Results confirm that knowledge about recommendations for cancer prevention is an important determinant for adherence and suggest that strategies to increase knowledge should be included in lifestyle promotion targeted at LS patients, along with behavior change techniques influencing other modifiable determinants.

Efficacy of an adjuvant non-face-to-face multimodal lifestyle modification program for patients with treatment-resistant major depression: A randomized controlled trial

BACKGROUND

The high prevalence of depression is partly attributable to the poor response of patients to first-line antidepressants. Multimodal programs that promote a healthy lifestyle are successful in treating depression when used as a complementary therapy, but their medium- and long-term benefits have not been demonstrated for patients with treatment-resistant depression (TRD). The main aim of this study was to compare the effectiveness of a lifestyle modification program (LMP) with mindfulness-based cognitive therapy (MBCT) and a placebo-control (written suggestions for lifestyle changes) in Spanish patients with TRD.

METHODS

This controlled clinical trial randomized 94 patients with TRD into 3 arms. The primary outcome was the Beck Depression Inventory-II (BDI-II) score at baseline, 2, 6 and 12 months. The secondary outcomes were changes in scores that evaluated quality-of-life, adherence to the Mediterranean diet, physical activity, and social support.

RESULTS

Relative to the placebo group, the LMP and MBCT groups had significantly better quality of life (p = 0.017; p = 0.027), and the LMP group had significantly better adherence to the Mediterranean diet (p<0.001) and reduced use of antidepressants (p = 0.036). However, the three groups showed no significant differences in BDI-II score.

LIMITATIONS

Only about half of the planned 180 patients were recruited, in part due to the COVID-19 pandemic.

CONCLUSIONS

There was no evidence that the LMP treatment significantly reduced symptoms of depression relative to the other groups during the COVID-19 lockdown.

Association of domain-specific physical activity with depressive symptoms: A population-based study

BACKGROUND

It remains unclear whether all physical activity (PA) domains (e.g., occupation-related PA [OPA], transportation-related PA [TPA], and leisure-time PA [LTPA]) have equivalent beneficial relationships. We aimed to investigate the associations of OPA, TPA, and LTPA with depressive symptoms in adults.

METHODS

We included and analyzed 31,221 participants (aged ≥18 years) from the cross-sectional 2007-2018 U.S. National Health and Nutrition Examination Survey (NHANES). The PA domains were assessed by a self-report questionnaire and categorized based on the PA guidelines. Depressive symptoms were measured by the nine-item Patient Health Questionnaire.

RESULTS

Participants achieving PA guidelines (≥150 min/week) were 26% (odds ratio [OR] 0.74, 95% confidence interval [CI] 0.68-0.80) and 43% (OR 0.57, 95% CI 0.51-0.62) less likely to have depressive symptoms depending on total PA and LTPA, respectively, while OPA or TPA did not demonstrate lower risks of depressive symptoms. LTPA at levels of 1-149, 150-299, and ≥300 min/week was associated with 31% (OR 0.69, 95% CI 0.60-0.78), 43% (OR 0.57, 95% CI 0.49-0.67), and 51% (OR 0.49, 95% CI 0.43-0.55) lower odds of depressive symptoms, respectively.

CONCLUSION

LTPA, but not OPA or TPA, was associated with a lower risk of depressive symptoms at any amount, suggesting that significant mental health would benefit from increased PA, even at levels below the recommendation.

Role of multiple risk factors in mental disorders diagnosed in middle-aged women: A population-based follow-up study

The aims of the study were 1). to investigate the association between the potential risk factors including socio-demographic, lifestyle and DNA methylation and mental disorders in middle-aged women from a large population-based follow-up study, and 2). to estimate the risk score by combining the potential risk factors to examine the mental disorder's incidence. A total of 6461 women, aged 50-65 years, were included in the study. After a median follow-up of 17 years, 2026 (31%) women were diagnosed with mental disorders. The association between these factors and the risk of mental disorders was analyzed using Cox regression models. Harrell's concordance index (C-index) was used to quantify models' predictive performance for future mental disorders. Blood-based global DNA methylation was assessed by an enzyme-linked immunosorbent assay. We found that smoking (HR = 1.38, 95% CI: 1.24-1.54), less physical activity (HR = 1.33, 95% CI: 1.10-1.60), being single (HR = 1.16, 95% CI: 1.04-1.29) and unemployment (HR = 1.50, 95% CI: 1.33-1.70) were independently associated with an increased risk of overall mental disorders. Risk score models combining all these observed factors showed an increased risk, but the prediction ability was low, except for the risk of alcohol use disorders (AUD) and drug use disorders (DUD) (C-index = 0.8). Finally, women who developed MDD/anxiety during follow-up had significantly higher global DNA methylation at baseline than women who did not develop MDD/anxiety (p = 0.005). In conclusion, our results indicate that the studied risk factors were associated with mental disorders in a type-specific manner. The predictive model showed that smoking, alcohol consumption, education and physical activity may predict future AUD/DUD. Global DNA methylation may be a potential risk factor for MDD/anxiety incidence.

Psychological distress and health behaviours among Cambodian Americans at risk for developing diabetes

This paper reports secondary data analysis of associations between psychological distress and health behaviours among Cambodian Americans. Data are from baseline assessments from a diabetes prevention trial. All participants met stucriteria for depression and were free of diabetes. Participants (n = 191) completed surveys, a food frequency assessment, and wore sleep and physical activity actigraphy devices for 7 days. A factor analysis of symptoms of post-traumatic stress, baksbat (a Cambodian culture-bound syndrome), depression, and anxiety yielded a single factor named 'psychological distress'. Multivariate models controlling for psychotropic medications were run for the following outcomes: sleep actigraphy, self-reported sleep, physical activity actigraphy, self-reported physical activity, nutrition, and substance use. For actigraphy, higher distress was associated with lower moderate/vigorous physical activity and higher mean variability of 24 h total sleep time. Higher distress was also associated with worse self-reported sleep quality as indicated by standard, and culturally-specific, sleep indicators. Higher distress was also associated with lower use of food labels, lower carbohydrate consumption, and higher alcohol consumption as a coping mechanism. Interventions to mitigate diabetes risk in high-distress populations may benefit from strategies to decrease psychological distress. The sequelae of complex trauma may transcend discrete psychiatric diagnoses.

Effectiveness of a lifestyle modification programme in the treatment of depression symptoms in primary care

Background

Depression symptoms are prevalent in the general population, and their onset and continuation may be related to biological and psychosocial factors, many of which are related to lifestyle aspects. Health promotion and lifestyle modification programmes (LMPs) may be effective on reducing the symptoms. The objective of this study was to analyse the clinical effectiveness of a LMP and a LMP plus Information and Communication Technologies, when compared to Treatment as Usual (TAU) over 6 months. The interventions were offered as an adjuvant treatment delivered in Primary Healthcare Centers (PHCs) for people with depression symptoms.

Methods

We conducted an open-label, multicentre, pragmatic, randomized clinical trial. Participants were recruited from several PHCs. Those participants visiting general practitioner for any reason, who also met the inclusion criteria (scoring 10 to 30 points on the Beck II Self-Applied Depression Inventory) were invited to take part in the study. TAU+LMP consisted of six weekly 90-min group sessions focused on improving lifestyle. TAU+LMP + ICTs replicated the TAU+LMP format, plus the addition of a wearable smartwatch to measure daily minutes walked and sleep patterns. A total of 188 participants consented to participate in the study and were randomized. We used linear mixed models, with a random intercept and an unstructured covariance to evaluate the impact of the interventions compared to TAU.

Results

Both interventions showed a statistically significant reduction on depressive symptoms compared to TAU (TAU+LMP vs. TAU slope difference, b = −3.38, 95% CI= [−5.286, −1.474] p = 0.001 and TAU+LMP+ICTs vs. TAU slope difference, b = −4.05, 95% CI = [−5.919, −2.197], p < 0.001). These reductions imply a moderate effect size. In the TAU+LMP+ICTs there was a significant increase regarding minutes walking per week (b = 99.77) and adherence to Mediterranean diet (b = 0.702). In the TAU+LMP there was a significant decrease regarding bad sleep quality (b = −1.24).

Conclusion

TAU+LMPs administered in PHCs to people experiencing depression symptoms were effective on reducing these symptoms compared to TAU. They also have a positive impact on changing several lifestyle factors. These findings indicate that these interventions can be promising strategies for PHCs.

The development of a taxonomy to support goal setting between mental health consumers and community pharmacists

BACKGROUND

Goal setting is widely used in mental healthcare, yet there is limited information about goal development between community pharmacists and people experiencing mental health conditions.

OBJECTIVES

i) To review goals developed in partnership between Australian community pharmacists and people experiencing depression/anxiety, and ii) categorize goals and develop a taxonomy.

METHODS

Community pharmacists (n = 142) who had completed a mental health training program provided an individualized medication support service and documented goal planning for 350 people experiencing anxiety and/or depression. Goals were reviewed using a general inductive content analysis to develop themes which were then grouped, categorized, and coded. This involved three researchers in different phases of the coding, repeated review and redrafting of the taxonomy, and inter-rater reliability consistency checks.

RESULTS

The goals (n = 749) represented a diverse range of health behaviors and outcomes (e.g., medication adherence, relationships, leisure activities). The resulting taxonomy involved five overarching domains: improved health; satisfaction with life; manage physical illnesses; manage mental health; and use of medicines.

CONCLUSIONS

Pharmacists have a role in providing person-centered care and addressing social determinants of health by considering factors that contribute to a person's overall wellbeing. While further testing is necessary, the taxonomy is valuable for pharmacists unfamiliar with supporting goal development with people experiencing anxiety and/or depression.

A Possible Antidepressive Effect of Dietary Interventions: Emergent Findings and Research Challenges

Purpose

Despite recent advancements in the treatment of depression, the prevalence of affected individuals continues to grow. The development of new strategies has been required and emerging evidence has linked a possible antidepressant effect with dietary interventions. In this review, we discuss recent findings about the possible antidepressant effect of dietary interventions with an emphasis on the results of randomized controlled trials.

Recent findings

A high consumption of refined sugars and saturated fat and a low dietary content of fruits and vegetables has been associated with the development of depression. There is evidence supporting a small to moderate beneficial effect of a Mediterranean-type diet in depression. In addition, new dietary protocols are being studied for their use as possible interventions, such as the ketogenic diet, Nordic diet, and plant-based diet.

Summary

Lifestyle interventions surrounding diet and nutrition are a relatively affordable way to enhance response to treatment and to be employed as an adjunct in mental health care. Most studies, however, are limited by the difficulty in controlling for the placebo effect. Mediterranean-style diets seem to be the most promising as an adjunctive treatment for mood disorders. Larger randomized controlled trials that could assess predictors of response to dietary interventions are needed to establish a clear positive effect of diet and guide clinical care and nutritional recommendations concerning mental health care.

Adherence to Lifestyle Interventions for Treatment of Adults with Depression: A Systematic Review and Meta-Analysis

The aim of this systematic review was to determine the adherence to lifestyle interventions for adults with depression and to estimate the dropout rates in trials examining the impact of these interventions. A bibliographic search was conducted in PubMed, Embase, PsycINFO, the Cochrane library, and several sources of grey literature. We included randomised controlled trials examining the impact of multiple lifestyle interventions on depressive symptomatology in adults when compared to control or other active treatments. Two reviewers independently screened citations, extracted the relevant data, and assessed the risk of bias using Cochrane tools. A random effects meta-analysis of proportions was used to summarise the proportion of participants who completed the intervention and to determine the proportion of dropouts at post-treatment assessment. Multiple subgroup analyses were also carried out. We identified six trials. The meta-analysis of proportions showed that 53% (95%CI 49% to 58%) of the participants assigned to the intervention group fully adhered to the intervention program. The weighted mean proportion of completed intervention sessions was 66%. The pooled trial dropout rate was 22% (95%CI 20% to 24%). Around half of adults with depression adhere to lifestyle interventions. Future research is needed to develop interventions to support adherence to lifestyle interventions in depressive patients.