The clustering of health behaviours in Ireland and their relationship with mental health, self-rated health and quality of life

The association between vaping and health behaviors among undergraduate college students in the United States

Objective: To examine the association between vaping and health behaviors (physical activity, fruit and vegetable consumption, sleep, cigarette use, alcohol consumption) and mental health among college students. Methods: Socio-demographic characteristics, vaping, health behaviors, perceived stress, and depressive symptoms of undergraduates enrolled at a large university located in the Northeast of the United States were assessed via an online survey. Results: Of all participants (n = 1775), less than a fifth (n = 314, 17.7%) reported any vaping in the past month. More men reported vaping than women (23.2% vs. 14.5%). Those who vaped reported fewer nights of restful sleep and greater alcohol consumption. Those who smoked and binge drank were more likely to report vaping. Perceived stress was greater among women who vaped, and depressive symptoms were greater among those who vaped regardless of gender. Conclusions: Vaping was associated with smoking, alcohol consumption, and poorer mental health among young adults.

Personal values, food habits and lifestyles in a sample of adolescents with different adherence to the Mediterranean Diet

BACKGROUND

The aim of this cross-sectional study was to explore the personal values system of an Italian adolescent sample and examine the interrelations of their values with some variables characterizing their lifestyles.

METHODS

A representative sample of 365 adolescents (56.2% females), 15-16 years old from the randomly selected second classes of public/private upper secondary schools of an Italian model region was investigated. The lifestyle of adolescents was explored through a 37-items structured, self-administered questionnaire. Ponderal status was evaluated from measured weight and height. The adherence to the Mediterranean Diet of the sample was determined by the KIDMED Test. The adolescents completed the 21-item Portrait Values Questionnaire, which assesses respondents' endorsement of the ten basic human values.

RESULTS

The results suggest that variables related to their eating habits may be associated with their basic values. Some not healthy eating habits, such as eating while "watching TV"/using PC"/ "studying," were negatively related to tradition, conformity, and security values. The adolescents with both moderate and strong alcohol use, and with smoking habits also showed the highest percentage of low adherence to the Mediterranean Diet.

CONCLUSIONS

Our findings might provide some useful information to support the development of more effective and targeted health promotion interventions approaches tailored for this age group.

Associations between multidomain modifiable dementia risk factors with AD biomarkers and cognition in middle-aged and older adults

This study aimed to determine associations between modifiable dementia risk factors (MDRF), across domains mood symptomatology, lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology, with cognition, beta-amyloid (Aβ) and tau, and brain volume. Middle-aged/older adults (n=82) enrolled in a sub-study of the Healthy Brain Project completed self-report questionnaires and a neuropsychological battery. Cerebrospinal fluid levels of Aβ 1-42, total tau (t-tau), and phosphorylated tau (p-tau181) (Roche Elecsys), and MRI markers of hippocampal volume and total brain volume were obtained. Participants were classified as no/single domain risk (≤1 domains) or multidomain risk (≥2 domains). Compared to the no/single domain risk group, the multidomain risk group performed worse on the Preclinical Alzheimer's Cognitive Composite (d=0.63, p=.005), and Executive Function (d=0.50, p=.016), and had increased p-tau181 (d=0.47, p=.042) and t-tau (d=0.54, p=.021). In middle-aged/older adults, multidomain MDRFs were related to increases in tau and worse cognition, but not Aβ or brain volume. Findings suggest that increases in AD biomarkers are apparent in midlife, particularly for individuals with greater burden, or variety of MDRFs.

Stability of clustering of lifestyle risk factors in the Dutch adult population and the association with mental health

BACKGROUND

Lifestyle factors often co-occur in clusters. This study examines whether clusters of lifestyle risk factors, such as smoking, alcohol use, physical inactivity, poor diet, sexual risk behaviour, cannabis and other drug use, change over time in a representative sample of Dutch adults. Additionally, the association between mental health and self-reported depression of lifestyle clusters was examined.

METHODS

Each year cross-sectional data of approximately 7500 individuals of 18 years and older from the annual Dutch Health Survey of 2014-2019 were used. Clusters were determined by a two-step cluster analysis. Furthermore, regression analyses determined the association between clusters of lifestyle risk factors and mental health.

RESULTS

Results show six clusters composed of one, multiple or no lifestyle risk factors. The clusters remained relatively stable over time: in some clusters, the number of people slightly changed between 2014 and 2019. More specifically, clusters that increased in size were the cluster with no lifestyle risk factors and the cluster with multiple lifestyle risk factors. Furthermore, results show that clusters with none to a few lifestyle risk factors were associated with better mental health and a lower prevalence of self-reported depression compared with clusters with multiple lifestyle risk factors.

CONCLUSIONS

The clustering of lifestyle risk factors remained stable over time. People with multiple lifestyle risk factors had poorer mental health than those without risk factors. These findings may emphasize the need for intervention strategies targeting this subgroup with multiple lifestyle risk factors.

Tackling diet inequalities in the UK food system: is food insecurity driving the obesity epidemic? (The FIO Food project)

By 2050 the number of adults living with obesity in the UK will rise with approximately one in four in the adult population. This rising trend is not equitable, with higher prevalence in socially disadvantaged groups. There is an apparent paradox of not being able to provide food for the family to eat, a feature of food insecurity and living with obesity. With the current cost-of-living crisis, there is a challenge to afford both food and fuel bills. Environmentally sustainable and healthy diets are proposed to improve public health and reduce the impact of the food system on the environment, while also improving diet quality. However, healthier foods tend to be nearly three times more expensive than unhealthy foods, and this provides a challenge for citizens on low incomes. In this review, we explore some of the evidence for solutions in the retail food environment to support the UK food system to be safe, nutritious, environmentally friendly and fair for all. We highlight the value of co-production in research, to give value and power to the lived experience to address these inequalities. Our multidisciplinary research approach within the FIO Food research grant will generate new insights into modifiable and potentially impactful changes to the UK food system, specifically for the retail food sector. We believe that the co-creation, design and delivery of research with those living with obesity and food insecurity will help to transform the UK food system for health and the environment in this vulnerable group.

Identifying Clusters of Health Behaviors in a Japanese Working Population at Risk for Non-Communicable Diseases: A Latent Class Analysis of 12,168 Individuals

Introduction

Noncommunicable diseases (NCDs) have become a significant global problem. Health behaviors are associated with NCDs, and characterizing populations using a public health approach can help provide specific interventions according to their characteristics. This study aims to examine the formation of clusters of health behavior combinations in the Japanese working population at risk of NCDs, taking into account the influences of age and gender, using latent class analysis.

Methods

Participants were individuals at risk for NCDs but had not previously been diagnosed with any. Latent class analysis (LCA) was used to study clustering based on basic characteristics and health behaviors. All statistical analyses were conducted using R (Version 4.0.4) and the "poLCA" package (Version 1.6.0).

Results

This study included 12,168 participants. LCA compared models with one to six latent classes. The five-class model was determined to be the most appropriate based on Bayesian Information Criterion, Akaike Information Criterion, and G^2 values, as well as distinguishable cluster characteristics. Cluster 1: "having healthy lifestyles but disliking hospitals"; Cluster 2: "women with healthy lifestyle behaviors"; Cluster 3: "general population"; Cluster 4: "middle-aged group in need of lifestyle improvement"; Cluster 5: "a group receiving treatment for lifestyle-related diseases."

Conclusions

This study reveals discernible health behavior patterns in a sample of the Japanese population using large real-world data, suggesting the effectiveness of distinct approaches when considering a population approach to public health.

Living arrangements, health lifestyles, and health outcomes among Chinese oldest-old

Background

Prior literature has documented a strong correlation between living arrangements and older adults' health outcomes. However, few studies have explained why this association exists. This study took the health lifestyle theory approach and brought health lifestyles into the link between living arrangements and Chinese oldest-old health outcomes. It examined (1) whether healthy lifestyle behaviors among the oldest-old varied by household contexts and (2) whether the health disparities among the Chinese oldest-old in different household contexts could be partially explained by their healthy lifestyles.

Methods

Using the most recent 2018 data released by the Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among the Chinese oldest-old aged 85-105 years. Regression analyses were used to test the mediating effect of health lifestyles.

Results

Three distinct classes representing the health lifestyles of Chinese oldest-old emerged; health lifestyle patterns were found to vary by elders' living arrangements. The respondent's health lifestyles in diverse residential structures served as a mediator which can partially explain the health disparities among the oldest-old.

Conclusion

The results suggested that health lifestyles can serve as a mediator to explain the association between oldest-old living arrangement patterns and their health outcomes. The findings highlighted the importance of family, lifestyles, and cultural contexts to the health of the oldest-old.

The impact of aggregate positive lifestyle behaviors on low back pain resilience and care seeking

BACKGROUND CONTEXT

Low back pain (LBP) is a global issue, and the high associated costs are mainly attributed to a small proportion of people with LBP who seek care. Importantly, the impact of aggregate positive lifestyle behaviors on LBP resilience and care seeking is not known.

PURPOSE

This study aimed to evaluate the relationship between positive lifestyle behaviors and LBP resilience.

STUDY DESIGN

This study was a prospective longitudinal cohort study.

PATIENT SAMPLE

Data was collected as part of the AUstralian Twin BACK Study (AUTBACK). Participants who reported a lifetime previous history of LBP at baseline were included in this analysis (n = 340).

OUTCOME MEASURES

The outcomes of interest were the number of weeks without activity limiting LBP and total number of days of healthcare usage, health practitioner care, self-management care, and medication intake.

METHODS

A lifestyle behavior score was built using variables of body mass index (BMI), physical activity, smoking status, and sleep quality. Negative binomial regression analyses were used to assess the relationship between the positive lifestyle behavior score and the count outcomes of number of weeks without activity limiting LBP and number of days participants used care.

RESULTS

After adjusting for covariates, no association was found between participants' positive lifestyle behavior score and their number of weeks without activity limiting LBP (IRR: 1.02, 95% CI 1.00-1.05). There was a statistically significant relationship between higher positive lifestyle behavior scores and fewer number of days of participants' total healthcare usage (IRR:0.69, 95% CI 0.56-0.84), healthcare practitioner visits (IRR:0.62, 95% CI 0.45-0.84), use of self-management strategies (IRR:0.74, 95% CI 0.60-0.91), and use of pain medication (IRR:0.55, 95% CI 0.44-0.68).

CONCLUSION

People who adopt optimal lifestyle behaviors, such as engaging in adequate physical activity, achieving optimal quality sleep, maintaining an ideal BMI, and not smoking, may not experience less time suffering from activity limiting LBP, but are less likely to use healthcare and pain medication for their LBP.

Lifestyle in bipolar disorder: A cross-sectional study

BACKGROUND

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).

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSION

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.

Physical activity, sleep, and mental health during the COVID-19 pandemic: A one-year longitudinal study of Spanish university students

The objective of this longitudinal study was to analyze changes in physical activity, sedentary time, sleep, anxiety, mood, and perceived health as a result of COVID-19 pandemic in a cohort of Spanish university students, both during the home confinement and one year after. Additionally, we analyzed the associations between physical activity, sedentary time, and other measured parameters. Data were collected through two online questionnaires that included the International Physical Activity Questionnaire-Short Form, the Pittsburgh Sleep Quality Index, and self-reported anxiety, mood, and perceived health levels before, during and one year after home confinement. Participants reported decreased physical activity, increased sedentary time, and deterioration in sleep quality and perceived health during confinement. Most parameters had improved one year later; however, the participants still reported less physical activity, more sedentary time, and deterioration in sleep quality and perceived health compared to before confinement. Men reported greater reduction of physical activity during home confinement than women. In contrast, women reported reduced physical activity one year after confinement, whereas men reported increased activity. Participants reported higher anxiety and worse mood both during and one year post-confinement compared to pre-confinement, with women reporting higher levels of anxiety than men. Sports science students were closer to regaining pre-pandemic levels of physical activity one year post-confinement than students in other disciplines. Sleep, anxiety, and mood were worse among students with obesity compared to students in other BMI categories. Overall, increased physical activity and decreased sedentary time were associated with less anxiety and better sleep, mood, and perceived health during and one year post-confinement. In conclusion, our results demonstrate that physical activity, sedentary behavior, sleep, anxiety, mood, and perceived health were disrupted one year after home confinement. Higher levels of physical activity and lower sedentary time were associated with preserved sleep and mental health during the pandemic.

Longitudinal health behaviour patterns among adults aged ≥50 years in China and their associations with trajectories of depressive symptoms

OBJECTIVES

Against the background of the growing recognition of the need for a holistic perspective on health behaviour, we aim to identify longitudinal patterns of multiple health behaviours, and to assess associations of such patterns with depressive symptoms among older people in China.

METHODS

Using three waves of China Health and Retirement Longitudinal Study data (n = 8439), we performed latent class growth analyses (LCGAs) to identify longitudinal patterns of multiple health behaviours. Random-effects models were estimated to assess associations between health behaviour patterns and depressive symptoms.

RESULTS

The best fitting LCGA model had seven classes: (1) connected active non-smokers (average posterior probability: 21.8%), (2) isolated active non-smokers (24.7%), (3) isolated inactive non-smokers (17.0%), (4) isolated active smokers (14.5%), (5) connected active smokers (12.2%), (6) increasingly connected and active non-smokers (5.4%), and (7) moderately connected inactive smokers (4.4%). Depressive symptoms were highest in the four classes with lower probabilities of social participation across waves. No evidence was found of change over time in depressive symptomatology gaps between people with different health behaviour trajectories.

CONCLUSION

Health behaviour patterns characterized by consistently low social participation were associated with raised depressive symptomatology, suggesting that focusing on social participation may benefit later-life mental health promotion strategies.

Health behaviours of patients with affective disorders: a cross-sectional study

BACKGROUND

Severe mental disorders, including affective disorders (AD), are associated with high rates of physical illnesses that lead to premature patient death. Excess somatic comorbidity may be partially explained by lifestyle factors. This study aimed to investigate the health behaviours (HBs) of patients with AD in comparison to the HBs of patients with type 2 diabetes (T2D) and healthy controls (HCs) and to examine associations among HBs and sociodemographic and clinical factors, subjective quality of life and health status, and health locus of control.

METHODS

The sample consisted of 108 patients with AD, including 60 with bipolar disorder (BP) and 48 with unipolar disorder (UAD). Analyses included comparisons with a subgroup of AD individuals, patients with T2D and HCs matched in age and sex. The Health Behaviour Inventory was used to evaluate the overall levels of HBs and 4 HB categories. To identify independent determinants of health behaviours, a multivariate linear regression analysis was performed with factors identified as significant in bivariate analyses.

RESULTS

Most AD patients had a low level of HBs (40%), followed by moderate (35%) and high levels (25%), and there were no significant differences in HBs between the BP and UAD groups. Compared with the T2D and HC groups, the AD group had a significantly lower level of overall HBs and lower levels of HBs in one of the categories. Independent predictors of overall HBs were quality of life (β = 0.28, p < 0.001), age (β = 0.27, p = 0.002), and depressive symptoms (β = 0.23, p = 0.008). A total of 30% of the variance in HBs was explained.

CONCLUSIONS

These findings emphasise the need for a systematic assessment of single and multiple health behaviours to provide better care for patients with AD and reduce the potential adverse effects of an unhealthy lifestyle.

Sick and depressed? The causal impact of a diabetes diagnosis on depression

BACKGROUND

There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the effect of a diabetes diagnosis on depression.

METHODS

We employ a fuzzy regression discontinuity design (RDD) exploiting the exogenous cut-off value of a biomarker used to diagnose type-2 diabetes (glycated haemoglobin, HbA1c) and information on psycometrically validated measures of diagnosed clinical depression drawn from rich administrative longitudinal individual-level data from a large municipality in Spain. This approach allows estimating the causal impact of a type-2 diabetes diagnosis on clinica ldepression.

RESULTS

We find that overall a type-2 diabetes diagnosis increases the probability of becoming depressed, however this effect appears to be driven mostly by women, and in particular those who are relatively younger and obese. Results also appear to differ by changes in lifestyle induced by the diabetes diagnosis: while women who did not lose weight are more likely to develop depression, men who did lose weight present a reduced probability of being depressed. Results are robust to alternative parametric and non-parametric specifications and placebo tests.

CONCLUSIONS

The study provides novel empirical evidence on the causal impact of health information on mental health, shedding light on gender-based differences in such effects and potential mechanisms through changes in lifestyle behaviours.

Age of Smoking Initiation in Relation to Multiple Health Risk Factors among US Adult Smokers: National Health Interview Survey (NHIS) Data (2006-2018)

The adverse effects of multiple health risk factors have been well-documented; however, still understudied are the effects of early smoking in the context of multiple health risk factors. This study aimed to examine the role of early smoking initiation in relation to several health risk factors, including heavy drinking, physical inactivity, and obesity in later life among ever smokers in the USA. The National Health Interview Survey (NHIS) data from 2006 through 2018 were analyzed. The primary dependent variables were presence of three other risk factors: heavy drinking, physical inactivity, and obesity. The independent variable was the age of smoking initiation. Logit regression models were constructed to evaluate the association between smoking initiation and multiple health risk factors. All analyses were done in 2022. Among US adult smokers, 18.2% started smoking before age 15 (early initiators), 55.9% at ages 15-18 (middle initiators), and 25.9% at age 20 or later (late initiators). Compared to late smoking initiators, the odds of engaging in additional health risk factors increased by 37.3% among early initiators (OR = 1.373, 95% CI = 1.316, 1.432) and 7.7% among middle initiators (OR = 1.077, 95% CI= 1.041, 1.116). Additionally, current smoking was associated with higher odds (OR = 1.369, 95% CI = 1.322, 1.417) of having additional health risk factors compared to former smoking, with one exception: current smokers had lower odds of obesity (OR = 0.566, 95% CI = 0.537, 0.597). Tobacco control programs to prevent adolescents from initiating smoking may have the potential to prevent other health risk factors in adulthood.

Associations of lifestyle with mental health and well-being in Chinese adults: a nationwide study

Background

A healthy lifestyle is beneficial to individuals' health. However, little is known about the associations of lifestyle factors with mental health and well-being. This study examined the associations of lifestyle factors with mental health (i.e., depression, anxiety, loneliness, perceived pressure, and self-rated health status) and well-being in Chinese adults.

Methods

A nationally representative survey was conducted in China from 20 June 2022 to 31 August 2022. Data from the survey were analyzed using multiple linear regression to determine the associations of lifestyle with mental health and well-being in Chinese adults. Standardized regression coefficients (β) and 95% confidence intervals (CIs) were estimated using multiple linear regression.

Results

The survey included 28,138 Chinese adults. Multiple linear regression results showed that there were significant negative associations of lifestyle scores with scores of depression (β = -0.93, 95% CI: -0.98, -0.88), anxiety (β = -0.71, 95% CI: -0.76, -0.67), loneliness (β = -0.23, 95% CI: -0.24, -0.21), and perceived pressure (β = -0.19, 95% CI: -0.22, -0.16). Moreover, there were significant positive associations of lifestyle with self-rated health status (β = 1.99, 95% CI: 1.79, 2.20) and well-being (β = 0.96, 95% CI: 0.91, 1.02).

Conclusion

This study provides insight into the associations of lifestyle factors with mental health and well-being and highlights the importance of improving and maintaining healthy lifestyle behaviors for favorable mental health and well-being.

Clustering of lifestyle and health behaviours in Australian adolescents and associations with obesity, self-rated health and quality of life

OBJECTIVE

The primary aim of this study was to identify clusters of lifestyle and health behaviours and explore their associations with health outcomes in a nationally representative sample of Australian adolescents.

METHODS

The study participants were 3127 adolescents aged 14-15 years who participated in the eighth wave of the birth cohort of the Longitudinal Study of Australian Children (LSAC). A latent class analysis (LCA) was performed to identify clusters based on the behaviours of physical activity, alcohol consumption, smoking, diet, eating disorders, sleep problems and weight consciousness. Multinomial logistic regression models were fitted to the following health outcome variables: obesity, self-rated general health and pediatric health-related quality of life, to investigate their associations with LCA clusters.

RESULTS

Based on the prevalence of health behaviour related characteristics, LCA identified gender based distinct clusters of adolescents with certain outward characteristics. There were five clusters for male and four clusters for female participants which are named as: healthy lifestyle, temperate, mixed lifestyle, multiple risk factors, and physically inactive (male only). Adolescents in the healthy lifestyle and temperate clusters reported low and moderately active health risk behaviours, for example, low physical activity, inadequate sleep and so on, while these behaviours were prevailing higher among adolescents of other clusters. Compared to adolescents of healthy lifestyle clusters, male members of physically inactive (OR = 3.87, 95% CI: 1.12 - 13.33) or mixed lifestyle (OR = 5.57, 95% CI: 3.15 - 9.84) clusters were over three to five times more likely to have obesity; while for female adolescents, members of only multiple risk factors clusters (OR = 3.61, 95% CI: 2.00 - 6.51) were over three time more likely to have obesity compared to their counterpart of healthy lifestyle clusters. Adolescents of physically inactive (b = -9.00 for male only), mixed lifestyle (b = -2.77 for male; b = -6.72 for female) or multiple risk factors clusters (b = -6.49 for male; b = -6.59 for female) had a stronger negative association with health-related quality of life scores compared to adolescents of healthy lifestyle clusters.

CONCLUSION

The study offers novel insights into latent class classification through the utilisation of different lifestyles and health-related behaviours of adolescents to identify characteristics of vulnerable groups concerning obesity, general health status and quality of life. This classification strategy may help health policy makers to target vulnerable groups and develop appropriate interventions.

Clustering of Health Behaviors in Canadians: A Multiple Behavior Analysis of Data from the Canadian Longitudinal Study on Aging

BACKGROUND

Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are each leading risk factors for non-communicable chronic disease. Better understanding which behaviors tend to co-occur (i.e., cluster together) and co-vary (i.e., are correlated) may provide novel opportunities to develop more comprehensive interventions to promote multiple health behavior change. However, whether co-occurrence or co-variation-based approaches are better suited for this task remains relatively unknown.

PURPOSE

To compare the utility of co-occurrence vs. co-variation-based approaches for understanding the interconnectedness between multiple health-impacting behaviors.

METHODS

Using baseline and follow-up data (N = 40,268) from the Canadian Longitudinal Study of Aging, we examined the co-occurrence and co-variation of health behaviors. We used cluster analysis to group individuals based on their behavioral tendencies across multiple behaviors and to examine how these clusters are associated with demographic characteristics and health indicators. We compared outputs from cluster analysis to behavioral correlations and compared regression analyses of clusters and individual behaviors predicting future health outcomes.

RESULTS

Seven clusters were identified, with clusters differentiated by six of the seven health behaviors included in the analysis. Sociodemographic characteristics varied across several clusters. Correlations between behaviors were generally small. In regression analyses individual behaviors accounted for more variance in health outcomes than clusters.

CONCLUSIONS

Co-occurrence-based approaches may be more suitable for identifying sub-groups for intervention targeting while co-variation approaches are more suitable for building an understanding of the relationships between health behaviors.

Socioeconomic and sex inequalities in parent-reported adolescent mental ill-health: time trends in four British birth cohorts

BACKGROUND

Studies using symptom-based screeners have suggested that mental ill-health has increased in adolescents in recent decades, however, few studies have tested the equivalence of their instruments, which is critical for inferring changes in prevalence. In addition, little research has explored whether socioeconomic position (SEP) and sex inequalities in adolescent mental health have changed over time.

METHODS

Using structural equation modelling, we explored SEP and sex differences in harmonised parent reports of emotional and behavioural problems, using data from four UK birth cohorts: the 1958 National Child Development Study (NCDS'58; n = 10,868), the 1970 British Cohort Study (BCS'70; n = 8,242), the 1991-92 Avon Longitudinal Study of Parents and Children (ALSPAC'91; n = 5,389), and the 2000-01 Millennium Cohort Study (MCS'01; n = 9,338).

RESULTS

Compared with the two earliest cohorts, members of MCS'01 had higher latent mean scores on emotional problems (both sexes), and lower scores on behavioural problems (females only). The associations between four indicators of SEP and emotional problems were strongest in MCS'01, with housing tenure having the strongest association. All four SEP indicators were associated with behavioural problems in each cohort, with housing tenure again more strongly associated with problems in the MCS'01. Mediation analyses suggested that the increase in emotional problems occurred despite broadly improving socioeconomic conditions.

CONCLUSIONS

Our findings suggest that parent reports of adolescent emotional problems, but not behavioural problems, have risen in recent generations and this trend is not solely due to reporting styles. A failure to address widening social inequalities may result in further increases in mental ill-health amongst disadvantaged young people.

A longitudinal study of lifestyle behaviours in emerging adulthood and risk for symptoms of depression, anxiety, and stress

BACKGROUND

Little research has examined how lifestyle behaviours cluster together to contribute to mental health outcomes. The current study aimed to identify latent classes of emerging adult lifestyle behaviours (diet, physical activity, sedentary time, smoking, alcohol, cannabis, and other drug use) at age 20 years and their associations with depression, anxiety, and stress symptoms at age 22 and 27 years.

METHODS

Participants were 616 emerging adults enrolled in the Raine Study. Lifestyle classes at baseline were identified using latent class analysis. Longitudinal associations between latent class membership and risk of depression, anxiety, and stress symptoms were examined using logistic regression models.

RESULTS

Three lifestyle classes were identified: Class 1 (healthier pattern, n = 399 [64.8 %]), Class 2 (predominantly female, high substance-use, low physical activity pattern, n = 121 [19.6 %]), and Class 3 (predominantly male, high substance-use, poor diet pattern, n = 96 [15.6 %]). Following adjustment, Class 2 were at a higher risk of depression, anxiety, and stress symptoms at age 22 years, and a higher risk of anxiety and stress symptoms at age 27 years, compared to Class 1.

LIMITATIONS

This study was limited by reliance on self-report data, lack of available indicators for parental socioeconomic status, and some measurement inconsistencies across variables. Adherence to lifestyle clusters over time was not assessed.

CONCLUSIONS

Latent classes of lifestyle behaviours were identified among emerging adults, and differences in mental health outcomes were found among the classes at two prospective time points. Future research and prevention strategies for common mental disorders should target emerging adults and focus on lifestyle patterns.

Population Segmentation for COVID-19 Vaccine Outreach: A Clustering Analysis and Implementation in Missouri

OBJECTIVES

The purpose of this work was to segment the Missouri population into unique groups related to COVID-19 vaccine acceptance using data science and behavioral science methods to develop tailored vaccine outreach strategies.

METHODS

Cluster analysis techniques were applied to a large data set that aggregated vaccination data with behavioral and demographic data from the American Community Survey and Deloitte's HealthPrism™ data set. Outreach recommendations were developed for each cluster, specific to each group's practical and motivational barriers to vaccination.

RESULTS

Following selection procedures, 10 clusters-or segments-of census tracts across Missouri were identified on the basis of k-means clustering analysis of 18 different variables. Each cluster exhibited unique geographic, demographic, socioeconomic, and behavioral patterns, and outreach strategies were developed on the basis of each cluster's practical and motivational barriers.

DISCUSSION

The segmentation analysis served as the foundation for "working groups" comprising the 115 local public health agencies (LPHAs) across the state. LPHAs with similar community segments in their service area were grouped together to discuss their communities' specific challenges, share lessons learned, and brainstorm new approaches. The working groups provided a novel way for public health to organize and collaborate across the state. Widening the aperture beyond Missouri, population segmentation via cluster analysis is a promising approach for public health practitioners interested in developing a richer understanding of the types of populations they serve. By pairing segmentation with behavioral science, practitioners can develop outreach programs and communications campaigns that are personalized to the specific behavioral barriers and needs of the population in focus. While our work focused on COVID-19, this approach has broad applicability to enhance the way public health practitioners understand the populations they serve to deliver more tailored services.

Changes in Perceived Mental Load and Motor Performance during Practice-to-Learn and Practice-to-Maintain in Basketball

BACKGROUND

Attentional resource allocation during sports practice is associated with the players' perceived mental load. However, few ecological studies address this problem by considering the players' characteristics (e.g., practice experience, skill and cognition). Therefore, this study aimed to analyse the dose-response effect of two different types of practice, each with different learning objectives, on mental load and motor performance by using a linear mixed model analysis.

METHOD

Forty-four university students (age 20.36 ± 3.13 years) participated in this study. Two sessions were conducted, one based on a standard rules 1 × 1 basketball situation ("practice to maintain") and one with motor, temporal and spatial restrictions in 1 × 1 tasks ("practice to learn").

RESULTS

"Practice to learn" produced a higher perceived mental load (NASA-TLX scale) and a worse performance than "practice to maintain", but was moderated by experience and inhibition (p = 0.001). The same happens in the most demanding restriction (i.e., temporal, p < 0.0001).

CONCLUSION

The results showed that increasing the difficulty of 1 × 1 situations through restrictions harmed the player's performance and increased their perceived mental load. These effects were moderated by previous basketball experience and the player's inhibition capacity, so the difficulty adjustment should be based on the athletes themselves.

Clustering of the Adult Population According to Behavioural Health Risk Factors as the Focus of Community-Based Public Health Interventions in Poland

Effective lifestyle health promotion interventions require the identification of groups sharing similar behavioural risk factors (BRF) and socio-demographic characteristics. This study aimed to identify these subgroups in the Polish population and check whether local authorities' health programmes meet their needs. Population data came from a 2018 question survey on a random representative sample of 3000 inhabitants. Four groups were identified with the TwoStep cluster analysis method. One of them ("Multi-risk") differed from the others and the general population by a high prevalence of numerous BRF: 59% [95% confidence interval: 56-63%] of its members smoke, 35% [32-38%] have alcohol problems, 79% [76-82%] indulge in unhealthy food, 64% [60-67%] do not practice recreational physical activity, and 73% [70-76%] are overweight. This group, with an average age of 50, was characterised by an excess of males (81% [79-84%]) and people with basic vocational education (53% [50-57%]). In 2018, only 40 out of all 228 health programmes in Poland addressed BRF in adults; only 20 referred to more than one habit. Moreover, access to these programmes was limited by formal criteria. There were no programmes dedicated to the reduction of BRF exclusively. The local governments focused on improving access to health services rather than on a pro-health change in individual behaviours.

Lifestyle Behaviors, Depression, and Anxiety Among Individuals Living in Canada During the COVID-19 Pandemic

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.

Behavioural risk patterns in adolescents with excess weight participating in the PRALIMAP-INÈS trial

OBJECTIVE

To investigate clustering of risk behaviours in adolescents with excess weight.

DESIGN

Cross-sectional analysis of baseline data from the PRALIMAP-INÈS trial. Information on food frequency consumption (fruit, vegetables, sugary products and beverages), physical activity, sedentary behaviour (week and weekend days), smoking and alcohol consumption (current frequency and intoxication episodes) and socio-demographic data was collected using self-reported questionnaires. Behavioural risk factors were entered as categorical variables in a two-step clustering procedure: multiple correspondence analysis followed by hierarchical clustering. Associations between cluster membership and socio-demographic variables were investigated using multivariable multinomial logistic regression.

SETTING

French PRALIMAP-INÈS trial.

PARTICIPANTS

Adolescents with excess weight.

RESULTS

A total of 1391 participants (13-18 years old, 58·2 % female) were included in the analysis, which resulted in the identification of four groups of participants, including, respectively, 543 (39·0 %), 373 (26·8 %), 246 (17·7 %) and 229 (16·5 %) participants. Clusters 1 and 4 showed associations of rather healthy behaviours (high physical activity and low consumption of sugary products; high consumption of fruit and vegetables, respectively), while clusters 2 and 3 showed associations of rather unhealthy behaviours (high sedentary behaviour and low consumption of fruit and vegetables; smoking and alcohol consumption, respectively). Both social status and family structure were associated with cluster membership.

CONCLUSIONS

Risk behaviour patterns in adolescents with excess weight were clustered in both healthier and less healthy ways, with a complex interplay with socio-demographic factors.

Association between competencies of biopsychosocial approach and job satisfaction of rehabilitation professionals in Ukraine

BACKGROUND

The Biopsychosocial (BPS) model is recognized and widely accepted in the field of health care, particularly in rehabilitation. However, in clinical practice the applicability of the BPS model is a challenge for many professionals.

METHOD

This study aimed to explore the factors that impact the perception of rehabilitation professionals about the BPS model in Ukraine. In addition, the job satisfaction assessment was done to measure whether rehabilitation specialists in Ukraine fulfil their professional roles according to their expectations and values. Participants were 346 rehabilitation specialists from Ukraine who completed the Bio-Psycho-Social Scale (BPS) for Use in Healthcare and the Global Job Satisfaction Scale (GJSS). The ANOVA was used to investigate the outcome differences between the two scales.

RESULTS

The highest proportion of responders in this study represented state health services. The BPS subscale outcomes on "assessment and reporting" and "professional knowledge and skills" were significantly higher for specialists from a private sector. The global job satisfaction scale outcomes did not differ between responders from the private and state health sector. The perception of professionals networks was associated with greater job satisfaction.

CONCLUSIONS

The findings suggest that conception of the BPS approach in rehabilitation system of Ukraine varies across the private and state settings. The professional network plays important role in job satisfaction of rehabilitation professionals in Ukraine. Future research focusing on education strategies to effectively train professionals to apply biopsychosocial approach to practice is of critical importance to prepare rehabilitation specialists in Ukraine.

Social Capital Promotes a Healthier Diet among Young Adults by Reducing Psychological Distress

Studies have revealed the links between social capital and diet. However, the mediating role of psychological distress in this relationship has been understudied. This study aims to identify direct and indirect relationships between social capital and adherence to the Mediterranean diet among Lithuanian young adults and identify the mediating role of psychological distress in this relationship. Data were collected from 1336 young adults, aged 18-36 years; 40.5% were males. MEDAS was used to measure adherence to a healthy diet. Social capital was measured by eight separate items in terms of family support, social support, social cohesion, social trust, communication, collaboration, participation, and distant communication. Kessler's six-item scale was used to assess psychological distress. Higher family support (β = 0.105), higher social participation (β = 0.294), and lower psychological distress (β = 0.073) directly predicted higher adherence to the Mediterranean diet. Social capital was indirectly related to adherence to the Mediterranean diet, with standardized effect sizes of 0.02-0.04, indicating small effect sizes. Thus, psychological distress mediates the relationship between social capital and a healthy diet. Given that social capital is related to psychological health and both directly and indirectly predicts healthy behavior in young adults, further longitudinal and experimental research is required to measure the effects of the intervention on incorporating, facilitating, encouraging, and implementing measures to strengthen the social connection between people and groups of people within the community, neighborhood, and organizations.

Positive lifestyle behaviours and emotional health factors are associated with low back pain resilience

PURPOSE

To evaluate the relationship between lifestyle behaviours, emotional health factors, and low back pain (LBP) resilience.

METHODS

This retrospective longitudinal study utilised 1,065 twins with a recent history of LBP from the Washington State Twin Registry. A lifestyle behaviour score was built using variables of body mass index, physical activity engagement, sleep quality, smoking status, and alcohol consumption. An emotional health score was built using variables of the absence of depressed mood, perceived stress, and active coping. The main outcome was LBP resilience, assessed as recovery ("bouncing back"), and sustainability (maintaining high levels of function despite LBP).

RESULTS

After adjusting for covariates, there was no relationship between the lifestyle behaviour score (OR 1.05, 95% CI 0.97-1.15, p = 0.218) and the emotional health score (OR 1.08, 95% CI 0.98-1.19, p = 0.142) with the likelihood of recovering from LBP. There was however, evidence of a positive association between the lifestyle behaviour score (β 0.20, 95% CI 0.04-0.36, p = 0.013), the emotional health score (β 0.22, 95% CI 0.00-0.43, p = 0.049), and greater levels of sustainability. These results were confirmed by a within-pair analysis (lifestyle behaviour score: β 1.79, 95% CI 0.05-3.53, p = 0.043) and (emotional health score: β 0.52, 95% CI 0.09-0.96, p = 0.021) adjusting for genetic and early shared environmental confounding.

CONCLUSION

Findings from this study suggest that people who adopt optimal lifestyle behaviours and positive emotional factors are more likely to be resilient and maintain high levels of function despite suffering from LBP.

Gender differences in the association between lifestyle behaviors and mental health among psychiatrists in China

INTRODUCTION

Mental health symptoms are common among health professionals and the influence of lifestyle behaviors on psychiatrists' mental health is insufficiently understood. Based on a nationwide sample, we aimed to survey the lifestyle behaviors and mental health status among psychiatrists, and to identify the co-occurrence and gender differences in lifestyle behaviors.

METHODS

Data were collected through an anonymous questionnaire among psychiatrists in China. Depression, Anxiety and Stress Scale - 21 (DASS-21) was used to evaluate mental health symptoms. Latent class analysis (LCA) was used to explore the co-occurrence of lifestyle behaviors. The multivariate logistic regression model was used to examine the effects of demographic and lifestyle factors.

RESULTS

4520 psychiatrists were included in the analysis with 11.5 % of them reporting smoking, 10 % reporting alcohol misuse, 35.2 % reporting physical inactivity, and 23.1 % reporting insomnia. The prevalence of depression, anxiety and stress symptoms were 29.2 %, 34.5 %, and 12.2 %, respectively. Significant gender differences were found in smoking (P < 0.001), alcohol misuse (P < 0.001), and physical inactivity (P < 0.001), but not in insomnia. Based on these four high-risk health behaviors above, three lifestyle behavior clusters with huge gender differences were identified through the LCA. Accordingly, the unhealthy lifestyle classes, though defined differently for males and females, were significantly associated with depression, anxiety, and stress.

CONCLUSIONS

The co-occurrence and significant gender differences in multiple lifestyle behaviors exist in this group, highlighting the need for gender-specific comprehensive interventions against mental health symptoms and the urgency of promoting their well-being.

A cluster analysis of health behaviours and their relationship to mental health difficulties, life satisfaction and functioning in adolescents

Research has documented relationships between individual health behaviours and mental health, but few studies have examined patterns of health behaviours (i.e., health lifestyles) and mental health outcomes. This study investigated the relationship between health lifestyles and mental health and psychological wellbeing in adolescents. Data from the My World Survey 2 - Second Level (MWS2-SL), a random national sample of 9493 adolescents (44.2% male) aged 12-18 years (M = 14.8, SD = 1.66) in second level education in Ireland were used. TwoStep cluster analysis identified clustering of health behaviours (sleep, alcohol use, cannabis use, social media use, sport and hobby participation). ANOVA and Chi Square tests identified potential differences in demographic characteristics (age, gender, socioeconomic status, ethnicity) and psychological outcomes (anxiety, depression, life satisfaction, daily functioning) across clusters. Three clusters were identified; 1. Low (22.0%), 2. Moderate-high (41.5%) and 3. High (36.5%), health promoting. The 'Low' health-promoting cluster, characterised by high alcohol, cannabis and social media use, moderate sport and hobby participation, and low sleep duration, demonstrated the highest levels of anxiety and depression and the lowest levels of life satisfaction, self-esteem and daily functioning. The 'High' health-promoting cluster reported the most favourable psychological outcomes. Cluster 1 were more likely to be older and male, Cluster 3 were more likely to be younger and female. Findings demonstrate the potential for health promotive lifestyles to mitigate mental health difficulties and promote life satisfaction and daily functioning in adolescents. Health lifestyles represent important indicators of mental health and targets for prevention/promotion efforts.

Clustering of Health Risk Behaviors in Mexican and Puerto Rican Men: Results from the Latino Men's Health Initiative

Engaging in multiple health risk behaviors simultaneously may increase the risk for cardiometabolic diseases. This study examined the prevalence and clustering of three health behaviors (physical activity, fruit and vegetable consumption, and smoking) among Latino men. The participants were 99 Mexican and 104 Puerto Rican men who participated in a study addressing culture- and obesity-related factors. The health behaviors were obtained from self-reported and anthropometric assessments through objective measurements. Among all participants, 5% had no health risk behaviors, 30% had one, 47% had two, and 18% had all three; their most common health risk behavior cluster was low physical activity and low fruit and vegetable consumption (28%). Among Puerto Rican men, 7% had no health risk behaviors, 24% had one, 51% had two, and 18% had all three; their most common health risk behavior cluster was current smoker and low fruit and vegetable consumption (28%). Among Mexican men, 3% had no health risk behaviors, 36% had one, 43% had two and 19% had all three; their most common health risk behavior cluster was low physical activity and low fruit and vegetable consumption (33%). The findings highlight the need for lifestyle interventions that target multiple health risk behaviors related to cardiometabolic diseases in Latinos.

A healthy lifestyle is positively associated with mental health and well-being and core markers in ageing

BACKGROUND

Studies often evaluate mental health and well-being in association with individual health behaviours although evaluating multiple health behaviours that co-occur in real life may reveal important insights into the overall association. Also, the underlying pathways of how lifestyle might affect our health are still under debate. Here, we studied the mediation of different health behaviours or lifestyle factors on mental health and its effect on core markers of ageing: telomere length (TL) and mitochondrial DNA content (mtDNAc).

METHODS

In this study, 6054 adults from the 2018 Belgian Health Interview Survey (BHIS) were included. Mental health and well-being outcomes included psychological and severe psychological distress, vitality, life satisfaction, self-perceived health, depressive and generalised anxiety disorder and suicidal ideation. A lifestyle score integrating diet, physical activity, smoking status, alcohol consumption and BMI was created and validated. On a subset of 739 participants, leucocyte TL and mtDNAc were assessed using qPCR. Generalised linear mixed models were used while adjusting for a priori chosen covariates.

RESULTS

The average age (SD) of the study population was 49.9 (17.5) years, and 48.8% were men. A one-point increment in the lifestyle score was associated with lower odds (ranging from 0.56 to 0.74) for all studied mental health outcomes and with a 1.74% (95% CI: 0.11, 3.40%) longer TL and 4.07% (95% CI: 2.01, 6.17%) higher mtDNAc. Psychological distress and suicidal ideation were associated with a lower mtDNAc of - 4.62% (95% CI: - 8.85, - 0.20%) and - 7.83% (95% CI: - 14.77, - 0.34%), respectively. No associations were found between mental health and TL.

CONCLUSIONS

In this large-scale study, we showed the positive association between a healthy lifestyle and both biological ageing and different dimensions of mental health and well-being. We also indicated that living a healthy lifestyle contributes to more favourable biological ageing.

Changes in the clustering of health-related behaviors during the COVID-19 pandemic: examining predictors using latent transition analysis

The COVID-19 pandemic has had a significant impact on daily life, affecting both physical and mental health. Changes arising from the pandemic may longitudinally impact health-related behaviors (HRB). As different HRBs co-occur, in this study, we explore how six HRBs - alcohol (past-week and binge-drinking), tobacco, marijuana, benzodiazepine use, and unhealthy food consumption - were grouped and changed over time during the COVID-19 pandemic. A sample of 1038 university students and staff (18 to 73 years old) of two universities completed an online psychometrically adequate survey regarding their recalled HRB (T0, pre-COVID-19 pandemic) and the impact of COVID-19 on their behaviors during July (T1) and November (T2). Latent Transition Analysis (LTA) was used to identify HRB cluster membership and how clusters changed across T0, T1, and T2. Four clusters emerged, but remained mainly stable over time: ‘Lower risk’ (65.2–80%), ‘Smokers and drinkers’ (1.5–0.01%), ‘Binge-drinkers and marijuana users’ (27.6–13.9%), and ‘Smokers and binge-drinkers’ (5.6–5.8%). Participants who moved from one cluster to another lowered their HRB across time, migrating from the ‘Binge-drinkers and marijuana users’ cluster to ‘Lower risk’. Participants in this cluster were characterized as less affected economically by the COVID-19 pandemic, with lower reported stress levels, anxiety, depression, and loneliness than the other clusters. Our results provide evidence of how HRBs clustered together and transitioned longitudinally during the COVID-19 pandemic. HRB clustering across time offers a valuable piece of information for the tailoring of interventions to improve HRB.

Longitudinal associations between different measures of socioeconomic status and health behavior among adolescents. Data from a wealthy Italian region

We investigate the association between socio-economic status and unhealthy behaviors among adolescents. By using different measures of socio-economic status, we capture both subjective aspects, as operationalized by perceived family affluence, and objective aspects, such as parents' educational levels and family affluence scale. We use data from a sample of 11,623 adolescents who participated in the Health Behavior in School-aged Children (HBSC) study in 2007, 2010, and 2014 in the Lombardy region of Italy. Results show that all of our measures of socio-economic status are correlated with unhealthy behaviors among adolescents. In particular, perceiving a family affluence below average is significantly correlated with a higher probability of reporting all of the unhealthy behaviors included in our analysis. Having at least one parent with university education significantly decreases the odds of being obese or overweight, having an unbalance diet, being physically inactive, and reporting sedentary behaviors. However, adolescents with at least one university educated parent are more likely to make use of cannabis. When controlling for all of our SES measures simultaneously, we find that family affluence scale is no longer significant in determining adolescents' behaviors. Our findings suggest that, when focusing on health inequalities among adolescents, self-perceptions and non-material dimensions of SES have more explanatory power than its material dimensions.

A latent class analysis of health risk behaviours in the UK Police Service and their associations with mental health and job strain

BACKGROUND

Health risk behaviours (e.g., harmful drinking and smoking) often cluster together and can be associated with poor mental health and stress. This study examined how health risk behaviours cluster together in individuals in a high stress occupation (UK Police Service), and the associations with mental health and job strain.

METHODS

Data was obtained from the Airwave Health Monitoring Study (25,234 male and 14,989 female police employees), which included measures of health risk behaviours (alcohol use, diet, smoking status, physical activity), poor mental health (depression, anxiety, post-traumatic stress disorder [PTSD]), and job strain (low, high, active, passive). Classes of health risk behaviours were identified using Latent Class Analysis (LCA) and the associations with mental health and job strain were analysed through multinomial logistic regressions.

RESULTS

For men and women, a 5-class solution was the best fit. Men and women with depression, anxiety, and/or PTSD (analysed as separate variables) had at least double the odds of being assigned to the "high health risk behaviours" class, compared to those with no mental health problem. Compared to those reporting low strain, men and women reporting high strain had increased odds of being assigned to the "low risk drinkers with other health risk behaviours" classes.

CONCLUSIONS

These finding highlight the importance of holistic interventions which target co-occurring health risk behaviours, to prevent more adverse physical health consequences. Police employees with poor mental health are more likely to engage in multiple health risk behaviours, which suggests they may need additional support. However, as the data was cross-sectional, the temporal associations between the classes and mental health or job strain could not be determined.

Residential Characteristics as Factors Related to Healthy Behavior Practices-Decision Tree Model Analysis Using a Community Health Survey from Korea

In this study, we sought to identify relevant factors in healthy behavior practices, including not only individual-level variables but also regional and physical environments. Data from the Korea Community Health Survey (KCHS) of Gyeongsangnam-do in 2018 were used, with data from 16,519 of the 17,947 individuals (excluding 1428 individuals who had missing values) who participated in the survey. Healthy behavior practices were defined as meeting the criteria for all three modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking). A decision tree analysis was performed. In men, healthy behavior practices were lower in the unemployed population, in those aged 40−50 years, living in rural residential areas, and with stress. For women who lived in areas with small populations (<100,000 population), healthy behavior practices were below-average. Men and women who had below-average healthy behavior practices reported poor access to places for exercise and fair or poor self-rated health statuses. It is necessary to implement a health behavior practice intervention that considers not only individual characteristics but also access to local exercise facilities and residential area characteristics (urban, rural). Since age is an important variable in healthy behaviors for both men and women, customized programs that consider age should be provided.

Behavioral Health Risk Factors and Motivation to Change among Cardiovascular General Hospital Patients Aged 50 to 79 Years

Little is known about the (co-)occurrence of smoking, alcohol at-risk drinking, physical inactivity and overweight, and the motivation to change these behavioral health risk factors (HRFs) in older general hospital patients with cardiovascular disease. Between October and December 2016, all consecutively admitted patients aged 50 to 79 years were proactively recruited on 3 cardiology wards and asked to participate in a survey on HRFs and behavior change motivation. Of the eligible patients, 80.4% participated in the survey (n = 328). The mean age was 66.5 years (standard deviation 9.0), and 65.5% were male. At least 1 HRF was present in 91.8% (n = 280), at least 2 HRFs in 54.4% (n = 166), and 3 or 4 HRFs in 12.1% (n = 37) of participants. The proportion of older adults who contemplated or were changing or planning to change their behavior to meet health behavior recommendations ranged between 66.0% (smoking) and 93.2% (alcohol consumption). The results indicate a notable co-occurrence of behavioral HRFs in older patients with cardiovascular disease. The majority of older adults were at least considering changing the respective behavior. To prevent and treat diseases efficiently, hospitalization may be a suitable moment for systematic multiple HRF screening and intervention.

Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults

Background

The clustering of Big Four contributors to morbidity and mortality—alcohol misuse, smoking, poor diet, and physical inactivity—may further elevate chronic health risk, but there is limited information about their specific combinations and associated health risks for racial/ethnic minority groups. We aimed to examine patterns of clustering in risk behaviors for White, Black, Hispanic, and Asian American adults and their associations with diabetes and hypertension. As these behaviors may be socioeconomically-patterned, we also examined associations between clustering and socioeconomic status (SES).

Methods

Latent class analyses and multinomial and logistic regressions were conducted using a nationally-representative sample of United States (US) adults ages 40–70 (N = 35,322) from Waves 2 (2004–2005) and 3 (2012–2013) of the National Epidemiologic Survey on Alcohol and Related Conditions. Obesity was used as a proxy for unhealthy diet. The outcomes were diabetes and hypertension.

Results

A relatively-healthy-lifestyle class was found only among White adults. Common patterns of unhealthy clustering were found across groups with some variations: the obese-inactive class among White, Black, and Hispanic adults (and the inactive class among Asian adults); the obese-inactive-smoking class among White, Black, and Hispanic adults; the smoking-risky-drinking class among White and Hispanic adults; and the smoking-risky-drinking-inactive class among Black and Asian adults. Positive associations of unhealthier clustering (having a greater number of risk behaviors) with lower SES (i.e., family income and education) and with health conditions were more consistent for Whites than for other groups. For racial minority groups, lower education than income was more consistently associated with unhealthy clusters. The associations between unhealthier clustering and diabetes and hypertension were less clear for Blacks and Asians than for Whites, with no significant association observed for Hispanics.

Conclusion

Concerted efforts to address clustered risk behaviors in most US adults, particularly in racial/ethnic minority groups given the high prevalence of unhealthy clustering, are warranted.

Clustering of health behaviors among Japanese adults and their association with socio-demographics and happiness

Background

Scholars have associated happiness with health behaviors, which co-occur and exert synergistic effects. Therefore, identifying clusters of health behaviors and their effect on happiness can contribute to the development of strategies for promoting happiness and improving health behaviors.

Aim

This study aimed to examine clusters of health behaviors and their associations with socio-demographics and with happiness among Japanese adults.

Methods

This study used data from the Japanese Household Panel Survey and the Keio Household Panel Survey. Questionnaires were distributed to 4,993 households out of which 1,554 responses were analyzed (participants aged 27−65 years). The survey included health behaviors (alcohol consumption, smoking, vegetable and fruit consumption, breakfast-eating habits, and physical activities), happiness, and socio-demographics. Latent class analysis was conducted to identify the clusters, whereas latent regression was employed to investigate socio-demographics related to the clusters. Logistic regression analysis was conducted to examine the relation between happiness and the clusters.

Results

Two health behavior clusters were identified: Cluster 1 (low substance use and good dietary habit; n = 817; 52.3%) and Cluster 2 (high alcohol, poor nutrition, and inactive; n = 737; 47.7%). Latent regression analysis indicated that all socio-demographics, barring socioeconomic status, were significantly associated with the clusters. The “low substance use and good dietary habit” cluster was significantly related with higher odds of happiness (odds ratio = 1.425, 95% confidence interval = 1.146−1.772, p = 0.001).

Conclusions

This study identified health behavior clusters among Japanese adults and established the association between the “low substance use and good dietary habit” cluster and high levels of happiness. However, the causality of the relationship between health behavior and happiness remains unclear, which highlights the need for further research to elucidate the underlying mechanisms.

Unhealthy Lifestyle Behaviours and Psychological Distress: A Longitudinal Study of Australian Adults Aged 45 Years and Older

Individual associations between lifestyle behaviours and mental health have been established; however, evidence on the clustering of these behaviours and the subsequent impact on mental health is limited. The purpose of this study was to examine cross-sectional and longitudinal associations between combined unhealthy lifestyle behaviours (physical activity, sitting time, sleep duration, processed meat consumption, vegetable consumption, fruit consumption, smoking status, alcohol consumption) and the development of psychological distress (measured using the Kessler Psychological Distress Scale) in a large Australian sample. Participants were 163,707 Australian adults from the 45 and Up Study. Data from baseline (2006–2009) and follow-up wave 1 (2012) were analysed using binary logistic regression. The odds of reporting high or very high psychological distress at follow-up were significantly higher for those reporting five (AOR = 2.36; 95% CI 1.41–3.97, p = 0.001) or six or more (AOR = 3.04; 95% CI 1.62–5.69, p = 0.001) unhealthy lifestyle behaviours, in comparison to those reporting no unhealthy lifestyle behaviours at baseline. These findings suggest that a holistic, multi-faceted lifestyle approach addressing multiple behaviours may be required to support and promote positive mental health and to reduce the likelihood of psychological distress.

Optimism and survival: health behaviors as a mediator-a ten-year follow-up study of Chinese elderly people

Background

Optimism—the generalized expectation that good things will happen—is a promising health asset. Mounting evidence indicates that there are specific associations between optimism and survival rates. However, for public health purposes, it is critical to consider whether the relationship between optimism and survival holds for older adults as a whole and to explore the role of health behaviors as potential mediators.

Methods

Prospective data were obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Optimism was measured in 2008, and survival was measured by survival time of the interviewees during the whole observation period from 2008 to 2018. Cox proportional hazard models were employed to evaluate the association between optimism and survival among the elderly. The mediating effect analysis method was used to explore the potential mediating role of health behaviors on the association between optimism and survival.

Results

Compared to less optimistic older adults, optimistic individuals were associated with lower odds of mortality (HR = 0.94, 95% CI = 0.89 − 0.99). Health behaviors are key elements that play a positive role in survival (HR = 0.95, 95% CI = 0.94 − 0.96). Health behaviors played an intermediary role in the relationship between optimism and mortality, and the mediating effect was -0.005.

Conclusions

Optimism and health behaviors were broadly and robustly associated with a lower risk of mortality. Health behaviors mediate the relationship between optimism and mortality. Appropriate intervention should be carried out on optimism and health behaviors among elderly people to improve the likelihood of health in aging.

Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis

Individual factors relating to dietary behaviors are widely explored. However, the effects of social environment on dietary patterns for the older people are less explored. The purpose of this study was to identify dietary patterns among older people in Taiwan and to examine the relationship of dietary patterns with social environment and individual factors. The current study used the 2013–2016 Nutrition and Health Survey in Taiwan. The sample was representative at the national and city levels. Only those who were aged 55 years old and above were included for analysis (n = 2922); the mean age of the participants was 68.62 (SD = 8.76). The city-level data, including population characteristics, food availability, and age-friendly city indicators, were obtained from the open data and survey report of government. Three dietary patterns were identified: high protein-vegetable (41.6%), high sweets and low protein-vegetables (37.9%), and high viscera and fats (20.5%). The results of multilevel multinomial logistic regressions showed that marital status, economic status, education, drinking alcohol, dietary belief, living a the city with more food availability, and bus accessibility were related to dietary patterns. Dietary patterns are related to the individual-level factors and social environment. Healthy dietary beliefs and age-friendly environments are beneficial to promoting healthy dietary patterns.

Thriving or surviving: staff health metrics and lifestyle behaviours within an Irish higher education setting

Purpose

Due to the international paucity of empirical evidence, this study aimed to investigate the health metrics and lifestyle behaviours of a staff cohort in a higher education institution (HEI) in Ireland.

Design/methodology/approach

Data were collected from 279 (16.4% response rate) HEI staff (academic, management, clerical/support), via a web-based health questionnaire that incorporated validated measures such as the Mental Health Index-5, Energy and Vitality Index, Cohen's Perceived Stress Scale (short form) and the AUDIT-C drinking subscale. A cluster analytical procedure was used to examine the presence of distinct clusters of individuals exhibiting either optimal or sub-optimal health behaviours.

Findings

A multitude of concerning patterns were identified including poor anthropometric profiles (64.4% of males overweight/obese), excessive occupational sitting time (67.8% of females sitting for = 4 h per day), hazardous drinking among younger staff (38.2% of 18–34 year olds), sub-optimal sleep duration on weeknights (82.2% less than 8 h), less favourable mean psychometric indices than the general Irish population, and insufficient fruit and vegetable intake (62.1% reporting <5 daily servings). Cluster analysis revealed “Healthy lifestyle” individuals exhibited significantly lower BMI values, lower stress levels and reported fewer days absent from work compared to those with a “Sub-optimal lifestyle”.

Originality/value

In contrast to the abundance of research pertaining to student cohorts, the current study is the first to examine the clustering of health-related variables in a cohort of HEI staff in Ireland. Findings will be used to inform policy at the host institution and will be of broader interest to higher education stakeholders elsewhere. Future longitudinal studies are required to monitor the health challenges experienced by this influential, yet under-researched cohort.

Association Between Mental Health Outcomes and Changes in Lifestyle Behavior Index Among Saudi Adults 16 Weeks After COVID-19 Pandemic Lockdown Release

Background

The current (coronavirus disease 2019 [COVID-19]) pandemic is still uncontrolled with associated dramatic changes in daily lifestyle activities. Evidence for studying the impact of these health behavior changes on our mental health is limited. Therefore, this study aimed to estimate the prevalence of psychological distresses and assess their influence by the change in the composite lifestyle behaviors before the COVID-19 pandemic till 16 weeks after the lockdown release in Saudi Arabia.

Methods

This cross-sectional study was conducted between October 10 and 31, 2020 by posting an online survey on social media platforms (WhatsApp and Twitter) to collect data on participants' sociodemographic, lifestyle behaviors, and mental health aspects using a validated Arabic version of the short-form version of the Depression Anxiety Stress Scales-21 (DASS-21).

Results

A total of 363 responded to the questionnaire. The mean age was 36.26 ± 8.54 years, and 238 (65.6%) were men. Depression, stress, and anxiety were reported in 37.5, 26.7, and 16.5% of the participants, respectively. Negative lifestyle behavioral changes were significantly associated with stress and anxiety (p < 0.05). Logistic regression revealed that financial distress and history of psychiatric illnesses were common significant factors for developing the psychological distresses.

Conclusion

Throughout the post-lockdown stage of the COVID-19 outbreak in Saudi Arabia, there was an evidence of psychological distresses among the adults. Negative health-related changes are directly linked with increased psychological distress. Effective health promotion strategies directed toward adopting and maintaining positive change in the composite health behaviors are crucial.

Clustering of unhealthy lifestyle behaviors, self-rated health and disability

The main objective was to identify sociodemographic characteristics of the population at risk for a greater clustering of unhealthy behaviors and to evaluate the association of such clustering with self-rated health status and disability. Data come from the 2017 Spanish National Health Survey with a sample of 21,947 participants of 15 years of age or older. Based on tobacco consumption, risk drinking, unbalanced diet, sedentarism, and body mass index <18.5/≥25 we created two indicators of risk factor clustering: 1) Number of unhealthy behaviors (0-5); and 2) Unhealthy lifestyle index (score: 0-15). Self-rated health was dichotomized into "optimal" and "suboptimal," and disability was classified as "no disability," "mild," and "severe" based on the Global Activity Limitation Index (GALI). We estimated prevalence ratios (PR) adjusted for covariates using generalized linear models using the clustering count variable, and dose-response curves using the unhealthy lifestyle index. Most participants (77.4%) reported 2 or more risk factors, with men, middle-age individuals, and those with low socioeconomic status being more likely to do so. Compared to those with 0-1 risk factors, the PR for suboptimal health was 1.26 (95% CI:1.18-1.34) for those reporting 2-3 factors, reaching 1.43 (95% CI:1.31-1.55) for 4-5 factors. The PR for severe activity limitation was 1.66 (95% CI:1.35-2.03) for those reporting 2-3 factors and 2.06 (95% CI:1.59-2.67) for 4-5 factors. The prevalence of both health indicators increased in a non-linear fashion as the unhealthy lifestyle index score increased, increasing rapidly up to 5 points, slowing down between 5 and 10 points, and plateauing afterwards.

Health behaviors and subsequent mental health problems during the COVID-19 pandemic: A longitudinal analysis of adults in the UK

Introduction

Public health mitigation policies aimed at slowing the spread of COVID-19 led to an increase in mental health problems (MHPs). This study examines the association between multiple pre-pandemic health behaviors and MHPs prior to, and during, the COVID-19 pandemic.

Methods

We analyzed a representative population sample of 11,256 adults (aged 20-65 years) from Understanding Society-The UK Household Longitudinal Study. Baseline data from participants interviewed in 2017/2019 (wave 9) were linked to web surveys conducted during the COVID-19 pandemic. We used latent class analysis (LCA) to identify mutually exclusive health behavior (physical activity, alcohol consumption, eating habits and smoking tobacco) clusters by gender, and examined the sociodemographic correlates of each cluster. We assessed how pre-pandemic latent classes of health behaviors were associated with changes in MHPs during the pandemic using fixed effects regression models.

Results

Three health behavior clusters were identified: positive (33%), moderate (24%), and high risk (43%), where similar behaviors clustered within individuals and sociodemographic circumstances. In particular, gender, age, migrant status and ethnicity were found to have strong associations with each cluster. Our results also demonstrated a clear association in MHPs with health behaviors both prior to, and during the pandemic. There were significant increases in MHPs between 2017/2019 and January 2021, with fluctuations coinciding with changes in public health mitigation policies. Assessments across the three clusters showed about 25.2%, 16.9%, and 0.7% increases in MHPs in the positive, moderate and high risk health behavior clusters, respectively.

Discussion

This study shows that pre-pandemic health behaviors were significantly associated with mental health before and during the pandemic. Holistic policy interventions and promotions targeting multiple health behaviors may be an effective strategy to improve mental health in the pandemic recovery period.

Association between healthy lifestyle score changes and quality of life and health-related quality of life: a longitudinal analysis of South Korean panel data

OBJECTIVES

We aimed to determine the influence of changes in the aggregate score of healthy lifestyle factors on health-related quality of life (HRQOL) and overall quality of life (QOL) in the Korean older adult population.

DESIGN

This study used a longitudinal design.

SETTING AND PARTICIPANTS

Data on 9474 participants aged 45 years or older were extracted from the Korean Longitudinal Study on Aging for the period 2006-2016. A composite score of four lifestyle factors (smoking, drinking, physical activity and body mass index) was calculated, and biennial changes in aggregate score were computed.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcomes were HRQOL and QOL.

RESULTS

Generalised estimating equation analysis results showed that those with healthy lifestyle score changes from 'Low-High' (β =-0.987, p=0.002; β =-1.288, p<0.0001), 'High-Low' (β =-1.281, p<0.0001; β =-1.952, p<0.0001) and 'Low-Low' (β =-1.552, p<0.0001; β =-2.398, p<0.0001) groups were more likely to be have lower HRQOL and QOL estimates than those in 'High-High' group. Female gender, older age and depression had a more negative impact on HRQOL, while male gender and younger age had a more negative impact on QOL, especially in the Low-Low group. The relationship between changes in scores and HRQOL and QOL varied across different elements of healthy lifestyle scores. Changes in physical activity, drinking and smoking status were significantly associated with lower HRQOL and QOL.

CONCLUSION

The findings suggest an association between a low healthy lifestyle score and poor quality of life, in both general and health-related aspects. Strategies targeting the Korean ageing demographic to promote a healthier lifestyle should be encouraged.

Applying the DSM-5 Criteria for Gambling Disorder to Online Gambling Account-Based Tracking Data: An Empirical Study Utilizing Cluster Analysis

The emergence of online gambling has raised concerns about potential gambling-related harm, and various measures have been implemented in order to minimise harm such as identifying and/or predicting potential markers of harm. The present study explored how the nine DSM-5 criteria for gambling disorder can be operationalised in terms of actual online gambling behaviour using account-based gambling tracking data. The authors were given access to an anonymised sample of 982 gamblers registered with an online gambling operator. The data collected for these gamblers consisted of their first three months' gambling activity. The data points included customer service contacts, number of hours spent gambling, number of active days, deposit amounts and frequency, the number of times a responsible gambling tool (such as deposit limit) were removed by the gamblers themselves, number of cancelled withdrawals, number of third-party requests, number of registered credit cards, and frequency of requesting bonuses through customer service (i.e., the number of instances of 'bonus begging'). Using these metrics, most of the DSM-5 criteria for gambling disorder can be operationalized (at least to some extent) using actual transaction data. These metrics were then applied to a sample of online gamblers, and through cluster analysis four types of online gambler based on these metrics (non-problem gamblers, at-risk gamblers, financially vulnerable gamblers, and emotionally vulnerable gamblers) were identified. The present study is the first to examine the application of the DSM-5 criteria of gambling disorder to actual gambling behaviour using online gambling transaction data and suggests ways that gambling operators could identify problem gamblers online without the need for self-report diagnostic screening instruments.

Social connectedness and health risk behaviours among in-school adolescents in urban and rural areas of Oyo State, Nigeria

Adolescents are considered vulnerable due to their ability to venture into Health Risk Behaviours (HRBs) that may have a long-term detrimental effect on their total wellbeing. The major focus of previous adolescents' studies in Nigeria has been on parent-adolescent communication and the relationship it has with their academic performance and sexual behaviour; none has explored the association of social connectedness and HRBs among in-school adolescents. Thus, the aim of this study is to assess and compare social connectedness and HRBs among in-school adolescents in urban and rural areas of Oyo State. A school-based comparative cross-sectional design was employed wherein 2071 in-school adolescents were selected via a multistage cluster sampling in Ibarapa Central and Ibadan North Local Government Areas (LGAs) of Oyo State. The independent variables were socio-demographic characteristics, family characteristics and social connectedness while the dependent variable was HRBs. The data was analysed using descriptive statistics, chi square, t-test, ANOVA and logistic regression with level of statistical significance set at 5%. Overall, slightly over one-half of the respondents (51.9%) were from the urban LGA and 54.2% were females. The mean age of respondents was 13.7 ± 2.1 years and 46.7% were early adolescents aged 10-13 years. The prevalence of HRBs among in-school adolescents was high (91.8%) and the mean score of social connectedness among in-school adolescents was high, with a slightly higher mean in rural area (131.71 ± 16.43) compared to (131.04 ± 14.47) in urban area. However, this was not statistically significant (p = 0.322). The mean scores of the domains of religious connectedness (p = 0.176), school connectedness (p < 0.001), peer connectedness (p < 0.001) and social-media connectedness (p = 0.003) were higher in the rural areas. However, the mean score of family connectedness among respondents was higher in the urban area (p < 0.001). The odds of having engaged in HRBs were significantly 1.57 times more likely among respondents who were males than those who were females {AOR = 1.57, 95% CI: 1.12-2.19}. The odds of having engaged in HRBs was significantly 1.44 times more likely among respondents who live in an urban area than among those who live in a rural area {AOR = 1.44, 95% CI: 1.03-2.01}. For a unit increase in the total score of social-media connectedness of the students, the odds of having engaged in HRBs was reduced by 0.95 {AOR = 0.95, 95% CI: 0.92-0.99}. There were significantly lower mean scores for social connectedness among respondents who had engaged in HRBs compared to their counterpart who had not engaged in HRBs. Therefore, various efforts targeted at improving social connectedness with its domains could be recommended to prevent in-school adolescents from engaging in HRBs.