A systematic review on the clustering and co-occurrence of multiple risk behaviours

Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study

BACKGROUND

Young migrants face multiple challenges that can affect their mental, sexual and reproductive health.

OBJECTIVE

To assess the prevalence of self-reported poor mental health and its associated demographic, post-migration and sexual risk behaviour factors among young migrants (aged 15-25) in Sweden.

METHODS

Data were drawn from a cross-sectional survey conducted with migrants aged 15-65 years old in Sweden between December 2018 and November 2019 (n = 6449). Among these, 990 participants aged 15-25 were eligible for the study. Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables.

RESULTS

Of the 990 participants, 59% reported poor mental health. Participants reporting poor mental health were more likely to be female (AOR:1.63, 95% CI:1.18-2.25), to have lived in Sweden more than three years (AOR:2.16, 95% CI:1.17-3.97), to engage in any sexual risk behaviour (AOR:1.99, 95% CI:1.25-3.17), and to live alone (AOR:1.95, 95% CI:1.25-3.03) or with friends they already knew (AOR:1.60, 95% CI:1.37-4.91). People arriving from the Americas (AOR:0.54, 95% CI:0.33-0.88), Asia (AOR:0.44, 95% CI:0.22-0.86), Europe (AOR:0.30, 95% CI:0.14-0.61) and Africa (AOR 0.37, 95% CI: 0.23-0.60) had lower odds of poor mental health than those arriving from Syria.

CONCLUSION

The prevalence of poor mental health among young migrants in Sweden was high, with specific subgroups (women, asylum seekers, people arriving from Syria, and those residing longer in Sweden) being particularly vulnerable. Our results indicate the interconnectedness between poor mental health and sexual risk behaviour in this population. Thus, policies targeting young migrants should ensure that healthcare services screen for both poor sexual and mental health at the same time.

Distribution and disparities of healthy lifestyles and noncommunicable diseases risk factors between men and women aged 20-59 years in Bangladesh: Evidence from a nationwide survey

Background

Noncommunicable diseases (NCDs) are public health threats globally and recognized impediments to socioeconomic development. This study aimed to identify the prevalence and clustering of NCDs risk factors among Bangladeshi men and women aged 20-59 years using nationally representative data.

Methods

This study was conducted in 82 rural, nonslum urban, and slum clusters across all eight administrative divisions of Bangladesh using multistage cluster sampling. A total of 4917 men and 4905 women aged 20-59 years were included in the study. Descriptive analyses were performed to report the prevalence and distribution of behavioral and clinical risk factors. Multivariable binary logistic regression was performed to identify factors associated with the coexistence of three or more NCD risk factors.

Results

The prevalence of tobacco use (any form), insufficient physical activity, inadequate fruit and vegetable consumption, overweight and obesity, and central obesity were 38.3%, 13.6%, 87.1%, 42.3%, and 36.0%, respectively. Furthermore, 21.9% and 4.9% participants had hypertension and self-reported diabetes, respectively. Regarding the clustering of risk factors, 37.1% men and 50.8% women had at least three NCD risk factors. Only 3.0% men and 1.8% women reported no NCD risk factors. Age, place of residence, education, and wealth status were associated with the presence of at least three risk factors for both sexes.

Conclusion

Since a large proportion of Bangladeshi 20-59 years old population had multiple risk factors, population-based programs with multisectoral approaches are essential to reduce NCDs among Bangladeshi women and men.

Breakfast energy intake and dietary quality and trajectories of cardiometabolic risk factors in older adults

OBJECTIVES

Not skipping breakfast is associated with a better overall diet quality and lower cardiometabolic risk. However, the impact of calorie intake and dietary quality of breakfast on cardiovascular health remains unexplored. We aimed to study the associations between breakfast energy intake and quality and time trajectories of cardiometabolic traits in high cardiovascular risk participants.

DESIGN

Prospective observational exploratory study with repeated measurements.

SETTING

Spanish older adults.

PARTICIPANTS

383 participants aged 55-75 with metabolic syndrome from PREDIMED-Plus, a clinical trial involving a weight-loss lifestyle intervention based on the Mediterranean diet.

MEASUREMENTS

Participants were followed for 36 months. Longitudinal averages of breakfast energy intake and quality were calculated. Three categories were defined for energy intake: 20-30% (reference), <20% (low), and >30% (high). Quality was estimated using the Meal Balance Index; categories were above (reference) or below the median score (low). Natural cubic spline mixed effects regressions described trajectories of cardiometabolic indicators (anthropometry, blood pressure, lipids, glucose, glycated hemoglobin, and kidney function) in breakfast groups. Inter-group differences in predicted values were estimated by linear regressions. Analyses were adjusted for age, sex, PREDIMED-Plus intervention group, education, smoking, physical activity, and total daily kilocalorie intake. Lipid profile analyses were further adjusted for baseline hypercholesterolemia, blood pressure analyses for baseline hypertension, and glucose/glycated hemoglobin analyses for baseline diabetes. Breakfast energy intake analyses were adjusted for breakfast quality, and vice versa.

RESULTS

At 36 months, compared to the reference, low- or high-energy breakfasts were associated with differences in body mass index (low: 0.61 kg/m² [95% confidence interval: 0.19; 1.02]; high: 1.18 kg/m² [0.71; 1.65]), waist circumference (low: 2.22 cm [0.96; 3.48]; high: 4.57 cm [3.13; 6.01]), triglycerides (low: 13.8 mg/dL [10.8; 16.8]; high: 28.1 cm [24.7; 31.6]), and HDL cholesterol (low: -2.13 mg/dL [-3.41; -0.85]; high: -4.56 mg/dL [-6.04; -3.09]). At 36 months, low-quality breakfast was associated with higher waist circumference (1.50 cm [0.53; 2.46]), and triglycerides (5.81 mg/dL [3.50; 8.12]) and less HDL cholesterol (-1.66 mg/dL [-2.63; -0.69]) and estimated glomerular filtration rate (-1.22 mL/min/1.73m2 [-2.02; -0.41]).

CONCLUSIONS

Low- or high-energy and low-quality breakfasts were associated with higher adiposity and triglycerides, and lower HDL cholesterol in high-risk older adults. Low-quality breakfasts were also linked to poorer kidney function.

Health-risk behaviours co-occur among adults with tooth loss

INTRODUCTION

Health-risk behaviours tend to co-occur among the same sectors of the population. The aim of this study is to examine the association between an aggregate of multiple health-risk behaviours and tooth loss among American Adults.

METHODS

We used data from the Behavioural Risk Factor Surveillance System (BRFSS) 2022, a nationally representative survey of non-institutionalized American. We included participants aged 18 years and older. An aggregate variable of health-risk behaviours which included smoking, heavy alcohol consumption, lack of physical activities, overweight/obesity, infrequent dental visits and infrequent medical check-up was created. Tooth loss was indicated by losing one tooth or more. Logistic Regression analysis was conducted to test the association between the aggregate of behaviours and tooth loss adjusting for income, education, ethnicity and health insurance.

RESULTS

The analysis included 326,561 participants. The mean number of health-risk behaviours was 2.13 and 1.72 among participants with tooth loss and without tooth loss, respectively. The aggregate of health-risk behaviours was significantly associated with tooth loss with odds ratios 1.23 (95% CI, 1.21, 1.26) in a model adjusting for age, gender, education, income ethnicity and health insurance.

CONCLUSION

This study demonstrated that an aggregate of health-risk behaviours, with some not directly linked to oral health, is associated with tooth loss among American adults. The study highlights the importance of considering different risk factors when planning health promotion policies to tackle oral health.

Patterns of adverse childhood experiences and their associations with depression, life satisfaction and short-form video addiction in Chinese college students

BACKGROUND

Adverse childhood experiences (ACEs) are widespread in East Asia, heightening the susceptibility to psychological and behavioral complications in adulthood.

OBJECTIVE

To identify polyvictimization patterns among Chinese college students and investigate the associations between diverse patterns and symptoms of depression, short-form video addiction (SVA), and life satisfaction.

PARTICIPANTS AND SETTING

This study encompassed 13,307 college students from four urban centers in China (Mage = 20.2; 46.4 % female).

METHODS

Latent class analysis (LCA) was employed to discern patterns of ACEs among college students. The three-step method (R3step) was utilized to explore the influence of demographic characteristics on the distribution of latent classes. Additionally, the automatic Bolck-Croon-Hagenaars (BCH) Method was deployed to investigate the latent classes effect on distal outcomes.

RESULTS

Left-behind experience was the most common ACE among Chinese college students. Four ACEs patterns were identified: 1) No/Very Low ACEs class (N = 8936, 67.2 %); 2) Parental Absence class (N = 430, 3.2 %); 3) Low/Moderate ACEs class (N = 3565, 26.8 %); and 4) High Violence and Left-behind class (N = 376, 2.8 %). The findings revealed a progressive escalation in healthy outcomes associated with the four ACEs patterns. Specifically, from the first class to the fourth, the severity of associated consequences (depression, life satisfaction and SVA) intensified.

CONCLUSIONS

Distinct ACEs patterns correlate with varying degrees of mental health issues. Compared to participants solely separated from parents, those exposed to abuse and neglect demonstrate more pronounced mental health challenges and addiction susceptibilities.

Comparative study on health behaviors among adolescents with chronic allergic disease before and during COVID-19 using data from the Korean Youth Health Panel Surveys

BACKGROUND

This study aimed to investigate the changes in the health behaviors and subjective health perception of adolescents with chronic allergic disease, including atopic dermatitis, asthma, and allergic rhinitis, amidst the coronavirus disease 2019 (COVID-19) pandemic in South Korea.

METHODS

This study used the 15th (2019) and 17th (2021) raw data obtained from the Korea Youth Risk Behavior Web-based Survey (KYRBWS), conducted by the Ministry of Health and Welfare of South Korea. Data were analyzed using multiple logistic regression with complex sampling using weighted values. Odds ratios with 95% confidence intervals for six health behaviors and subjective health perception were used as the major variables.

RESULTS

Six health behaviors (dietary habits, weight gain, smoking, alcohol consumption, sleep time, and physical activity) changed substantially during COVID-19. There was an increase in the duration of sedentary activities, a slight increase in BMI, and improvements in mental health. Concurrently, there was a decrease in alcohol consumption, sleep duration, and the consumption of sweetened beverages. Despite these improvements in big six health behaviors, adolescents with chronic illnesses continue to perceive themselves as unhealthy.

CONCLUSIONS

These findings suggest that the follow-up and monitoring of health behaviors and subjective health perception in adolescents with chronic allergic diseases during the COVID-19 pandemic are necessary. Understanding the mechanisms underlying sustained behavioral change can inform the development of interventions to promote healthy behavior after the pandemic has passed.

Exploring lifestyle components and associated factors in newly injured individuals with spinal cord injury

STUDY DESIGN

Cross-sectional analysis from the Inception Cohort of the Swiss Spinal Cord Injury Study (SwiSCI).

OBJECTIVES

To describe five lifestyle components in newly injured individuals with spinal cord injury (SCI), explore co-occurrence of these components, and identify associated personal and clinical factors.

SETTINGS

Initial rehabilitation stay following traumatic and non-traumatic SCI.

METHODS

Lifestyle components including overweight/obesity, low diet score, physical inactivity, smoking, and alcohol consumption were used independently and to calculate a composite lifestyle score. Analyses were conducted using descriptive statistics, co-occurrence analysis, and multivariate logistic regression.

RESULTS

We included 251 individuals, of whom 77.7% were male, 73.7% suffered from traumatic SCI, and 59.8% had paraplegia. The median age was 51 years (IQR 36-64). Approximately twelve weeks after the injury, more than two-thirds of the study population met the criteria for overweight/obesity, and consumed insufficient amounts of fruits and vegetables, and excessive amounts of meat. Alcohol was consumed by 85.3% of individuals, and 26.8% were current smokers. Almost all study participants met the physical activity guidelines (90 min of moderate to strenuous activity physical activity per week). One-quarter of study participants experienced the co-occurrence of overweight/obesity, low diet score and alcohol consumption. Female sex, younger age and higher education were associated with healthier lifestyle components.

CONCLUSION

Despite methodological limitations, this study underscores the complexities of healthy lifestyle adherence among individuals newly injured with SCI. It highlights the necessity of improving and implementing screening strategies throughout the continuum of SCI care as early as possible following the trauma.

The mediating role of behavioral risk factors in the pathway between childhood disadvantage and adult psychological distress in a Finnish employee cohort

Childhood disadvantage is associated with increased adult psychological distress, but the role of behavioral risk factors in the pathway remains unclear. We examined whether behavioral risk factors mediate the effects of childhood disadvantage on adult psychological distress. We used the Helsinki Health Study data of employees of the City of Helsinki, Finland, aged 19-39 (mean age 32.0) years at baseline (2017). We included women (n = 2397) and men (n = 586) who responded to both baseline and follow-up (2022) surveys. At baseline, eight types of childhood disadvantage were asked retrospectively, and six adult behavioral risk factors were included. Psychological distress was measured by the DASS-21 at follow-up. We conducted mediation analyses using generalized structural equation modeling. Among women, we found indirect path effects of childhood disadvantage on adult psychological distress through behavioral risk factors (symptoms of depression: β = 0.68, 95% CI 0.20-1.17; anxiety: β = 0.54, 95% CI 0.13-0.95; and stress: β = 0.69, 95% CI 0.20-1.09). Among men, childhood disadvantage contributed only directly to adult depressive (β = 0.71, 95% CI 0.16-1.26) and stress (β = 0.61, 95% CI 0.10-1.13) symptoms. Our findings suggest that behavioral risk factors can mediate some of the adverse effects of childhood disadvantage on adult psychological distress among women.

Co-occurrence of unhealthy lifestyle behaviours in middle-aged adults: findings from the Swedish CArdioPulmonary bioImage Study (SCAPIS)

Middle-aged adults engaging in unhealthy lifestyle behaviors are at higher risk of chronic diseases. However, little is known about the co-occurrence of these behaviors and their determinants. This cohort study examined the co-occurrence of unhealthy lifestyle behaviors (alcohol consumption, diet, physical inactivity, and smoking) in 30,154 middle-aged adults and their associations with sociodemographic factors, social support, and disease history. Alcohol use was measured by the AUDIT, diet by the MiniMeal-Q, and physical inactivity and smoking by single questions. Participants had a mean age of 58 years, with 51% being female. Of them, 14% had no unhealthy behaviors, 38% had one, 36% had two, 10% had three, and 2% had all four. The most common co-occurrence was between physical inactivity and poor diet (38%). Higher education decreased the likelihood of having three or four unhealthy behaviors, while financial difficulties, having no one around who appreciated one's efforts, and suffering of a lung disease increased it. In conclusion, middle-aged adults exhibit varying levels of unhealthy lifestyle behaviors. Higher education is linked to reduced engagement in multiple unhealthy behaviors, whereas financial strain, lower quality of social support, and lung disease increase the risk.

Barriers to Accessing Primary Dental Care in Adults with Alcohol Dependence: A Qualitative Study

BACKGROUND

People with alcohol dependence (AD) frequently experience oral health problems, but their dental attendance is poor, with limited evidence to the reasons why from their perspective.

OBJECTIVE

To explore perceived barriers, motivators, and facilitators to accessing primary dental care in people with AD.

METHODS

Qualitative study consisting of remote one-to-one and group semistructured interviews with a convenience sample of adults with lived experience of AD in northern England. Data were audio-recorded, transcribed, and coded. A reflexive thematic analysis method was used; use of COM-B model informed data interpretation.

RESULTS

Twenty adults with lived experience of AD participated in 18 one-to-one interviews and 1 group interview (of 3 participants). Barriers to access were fear and physical, social, and environmental factors (physical effects of AD, financial barriers, nonprioritization of oral health). Motivators to access were pain and prioritization of oral health. Facilitators to access were patterns of alcohol use (i.e., sobriety) and dental service provision within recovery services.

CONCLUSIONS

Fear of "the dentist" is a major barrier to accessing dental care, and pain is the primary motivator, among people with AD, although neither are unique to this population. Fear and physical, social, and environmental barriers to access contribute to problem-oriented attendance, which negatively affect oral health outcomes. Opportunity to facilitate attendance increases when a person is in remission from AD through their physical capabilities improving. Increasing capability and opportunity can influence attendance beyond the automatic motivation of pain. Provision of dental care within recovery services could facilitate access to care. Understanding the "web of causation" is key to developing any intervention to improve dental access in people with AD. Further research is needed from the perspective of other adult populations with lived experience of AD, as well as of dental professionals, to gain deeper insight into barriers, facilitators, and possible solutions.

KNOWLEDGE TRANSFER STATEMENT

The results of this study can help dental professionals understand factors affecting access to primary care in people with alcohol dependence to provide knowledge that may reduce stigma surrounding the disease. Results also demonstrate areas for intervention development for public policy.

Health behaviour profiles in young Australian adults in relation to physical and mental health: The Raine Study

ISSUES ADDRESSED

We aimed to identify latent health behaviour profiles of young adults and examine their associations with physical and mental health outcomes. We also characterised the profiles by socio-demographic characteristics.

METHODS

Data were collected between 2012 and 2014. Participants (N = 476) were young adults (M age [SD] = 22.1 [.57] years) from Generation 2 of the Raine Study longitudinal cohort. Health behaviours were measured via ActiGraph GT3X waist monitors (physical activity, sedentary behaviour) and questionnaires (diet quality, alcohol, smoking and sleep). Physical and mental health were measured using clinical health assessments, blood biomarkers, and questionnaires. Latent Profile Analysis using Mplus (8.2) was employed to identify profiles.

RESULTS

Four latent profiles were identified: 'heavy drinkers with moderately unhealthy eating habits' (high takeaway foods; n = 135), 'unhealthy food abstainers' (low takeaway foods; n = 138), 'moderately sedentary alcohol abstainers' (n = 139) and 'physically active drinkers with unhealthy eating habits' (high takeaway foods and sugary drinks; n = 64). 'Physically active drinkers with unhealthy eating habits' had the poorest (physical and mental) health outcomes, yet the lowest insulin resistance. 'Unhealthy food abstainers' had the most favourable health outcomes (adiposity, health perceptions, blood pressure). Sex differed among the profiles.

CONCLUSIONS

The profiles identified among young adults are different to profiles with general adult populations. A novel finding was that 'physically active drinkers with unhealthy eating habits' had low insulin resistance. The findings also suggest that future interventions may need to be sex specific.

SO WHAT

Our findings suggest that health behaviour interventions for young adults should be targeted to distinct profile characteristics.

Exploring Public, Practitioner and Policymaker Perspectives of Unhealthy Lifestyle Factors in the Context of Socioeconomic Deprivation: A Qualitative Study

INTRODUCTION

Unhealthy lifestyle factors, such as smoking, high alcohol intake, poor diet and physical inactivity, are key risk factors for premature mortality. How unhealthy lifestyle factors are viewed in the wider context of socioeconomic deprivation is rarely considered. Understanding key stakeholder views on lifestyle factors in the context of deprivation is critical to intervention development and reducing harm in more deprived populations. The aim of this study was to explore public, healthcare professional and policymaker views around unhealthy lifestyle factors in the context of deprivation. The aim was broad to facilitate iterative development of ideas, as the views of this wide range of stakeholders are rarely captured.

METHODS

Twenty-five adult members of the public in Scotland took part in four focus groups between August 2022 and June 2023. Eighteen semi-structured interviews were conducted with professionals: 12 primary-care practitioners and 6 public-health practitioners and policymakers. Reflexive thematic analysis was undertaken.

RESULTS

Four main themes were developed: (1) Evolving complexity of lifestyle factors - the number of lifestyle factors that adversely impact health has grown, with increasingly complex interactions, (2) Social determinants of lifestyle - numerous links were made between socioeconomic conditions and unhealthy lifestyle factors by all participants, (3) Poverty as a fundamental social determinant - poverty was identified as a core factor for unhealthy lifestyle factors, and (4) Agency versus structure in relation to lifestyle - individual agency to address lifestyle factors was limited by structural constraints. Among professionals, understanding the challenging social determinants of unhealthy lifestyle factors was countered by a desire to support healthy change in those affected by deprivation.

CONCLUSION

Public and professional views around lifestyle highlight an evolving understanding of the new and growing number of lifestyle factors as well as the increasingly complex interplay between lifestyle factors. Views of the social determinants of lifestyle and structural limits to agency strengthen arguments for reduced emphasis on individual-level responsibility for unhealthy lifestyle factors and for deeper integration of social determinants into lifestyle interventions. In addition to addressing poverty and socioeconomic inequalities directly, innovative policy, planning and legislation that incorporate wider approaches could tackle upstream determinants of numerous unhealthy lifestyle factors simultaneously.

PATIENT OR PUBLIC CONTRIBUTION

Members of the public who participated in this study have made contributions by sharing their views and perspectives. The National Health Service Research Scotland Primary Care Patient and Public Involvement (NRS PPI) Group contributed to the development of this work. The NRS PPI Group was consulted as part of the preparatory work for H. M. E. F.'s doctoral thesis funding application. The findings of the qualitative work were presented to them, and they informed the interpretation of those findings and related work presented at conferences and public engagement events.

Alcohol, smoking, and brain structure: common or substance specific associations

Alcohol use and smoking are common substance-use behaviors with well-established negative health effects, including decreased brain health. We examined whether alcohol use and smoking were associated with the same neuroimaging-derived brain measures. We further explored whether the effects of alcohol use and smoking on the brain were additive or interactive. We leveraged a cohort of 36,309 participants with neuroimaging data from the UK Biobank. We used linear regression to determine the association between 354 neuroimaging-derived brain measures and alcohol use defined as drinks per week, pack years of smoking, and drinks per week × pack years smoking interaction. To assess whether the brain associations with alcohol are broadly similar or different from the associations with smoking, we calculated the correlation between z-scores of association for drinks per week and pack years smoking. Results indicated overall moderate positive correlation in the associations across measures representing brain structure, magnetic susceptibility, and white matter tract microstructure, indicating greater similarity than difference in the brain measures associated with alcohol use and smoking. The only evidence of an interaction between drinks per week and pack years smoking was seen in measures representing magnetic susceptibility in subcortical structures. The effects of alcohol use and smoking on brain health appeared to be additive rather than multiplicative for all other brain measures studied. 97% (224/230) of associations with alcohol and 100% (167/167) of the associations with smoking that surpassed a p value threshold are in a direction that can be interpreted to reflect reduced brain health. Our results underscore the similarity of the adverse associations between use of these substances and neuroimaging derived brain measures.

Cross-sectional associations of gender identity and sexual orientation, with co-occurrence and clustering of health-related behaviours among British adolescents: Millennium cohort study

PURPOSE

We examined whether gender identity and sexual orientation were associated with seven health-related behaviours, and with co-occurrence and clustering of these behaviours among British adolescents.

METHODS

Millennium Cohort Study (age 17 wave) provided data on the exposures, gender identity (male, female, genderqueer) and sexual orientation (heterosexual, bisexual, gay or lesbian, or other), and seven self-reported health-related behaviours (binge drinking, drug use, no consumption of breakfast, no consumption of fruits or vegetables, physical inactivity, poor sleep, and smoking or vaping). Poisson regressions examined associations between the exposures and single behaviours (reporting prevalence ratios (PRs)); and multinomial logistic regressions were used for behavioural cumulative co-occurrence score (reporting PRs). Cluster patterns were identified using Ward's agglomerative hierarchical cluster analysis while associations with cluster membership were performed using logistic regressions (reporting odds ratios (ORs)).

RESULTS

Our sample included 6022 adolescents (55.4% female, 1.5% genderqueer, 11.6% non-heterosexual). Adolescents who identified as genderqueer had the highest prevalence of not eating breakfast (PR: 60.5% [95%CI 48.4-71.4]) and poor sleep (68.7% [95%CI 55.6-79.3]). Those who identified as bisexual had a higher PR of co-occurring behaviours (2.46 [95%CI 1.39-4.27]). Among the three clusters identified (1: Multiple risk behaviours; 2: Physical inactivity and binge drinking; 3: Poor diet and physical inactivity), adolescents who identified as genderqueer or other sexual orientation showed the highest prevalence in cluster 3.

CONCLUSION

Gender and sexual minority British adolescents showed a higher prevalence of risky health-related behaviours, and higher risk of co-occurring behaviours. Physical inactivity and poor diet behaviours commonly clustered together for these groups.

Analytic Methods for Understanding the Temporal Patterning of Dietary and 24-H Movement Behaviors: A Scoping Review

Dietary and movement behaviors [physical activity (PA), sedentary behavior (SED), and sleep] occur throughout a 24-h day and involve multiple contexts. Understanding the temporal patterning of these 24-h behaviors and their contextual determinants is key to determining their combined effect on health. A scoping review was conducted to identify novel analytic methods for determining temporal behavior patterns and their contextual correlates. We searched Embase, ProQuest, and EBSCOhost databases in July 2022 to identify studies published between 1997 and 2022 on temporal patterns and their contextual correlates (e.g., locational, social, environmental, personal). We included 14 studies after title and abstract (n = 33,292) and full-text (n = 135) screening, of which 11 were published after 2018. Most studies (n = 4 in adults; n = 5 in children and adolescents), examined waking behavior patterns (i.e., both PA and SED) of which 3 also included sleep and 6 included contextual correlates. PA and diet were examined together in only 1 study of adults. Contextual correlates of dietary, PA, and sleep temporal behavior patterns were also examined. Machine learning with various clustering algorithms and model-based clustering techniques were most used to determine 24-h temporal behavior patterns. Although the included studies used a diverse range of methods, behavioral variables, and assessment periods, results showed that temporal patterns characterized by high SED and low PA were linked to poorer health outcomes, than those with low SED and high PA. This review identified temporal behavior patterns, and their contextual correlates, which were associated with adiposity and cardiometabolic disease risk, suggesting these methods hold promise for the discovery of holistic lifestyle exposures important to health. Standardized reporting of methods and patterns and multidisciplinary collaboration among nutrition, PA, and sleep researchers; statisticians; and computer scientists were identified as key pathways to advance future research on temporal behavior patterns in relation to health.

Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors.

OBJECTIVE

The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years.

METHODS

The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep.

RESULTS

A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework.

CONCLUSIONS

eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.

Systemic inflammation, lifestyle behaviours and dementia: A 10-year follow-up investigation

Objectives

Lifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association.

Methods

The sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13.

Results

Binary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein.

Conclusions

Co-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.

Healthy lifestyle and cognitive decline in middle-aged and older adults residing in 14 European countries

Studies examining lifestyle and cognitive decline often use healthy lifestyle indices, making it difficult to understand implications for interventions. We examined associations of 16 lifestyles with cognitive decline. Data from 32,033 cognitively-healthy adults aged 50-104 years participating in prospective cohort studies of aging from 14 European countries were used to examine associations of lifestyle with memory and fluency decline over 10 years. The reference lifestyle comprised not smoking, no-to-moderate alcohol consumption, weekly moderate-plus-vigorous physical activity, and weekly social contact. We found that memory and fluency decline was generally similar for non-smoking lifestyles. By contrast, memory scores declined up to 0.17 standard deviations (95% confidence interval= 0.08 - 0.27) and fluency scores up to 0.16 standard deviations (0.07 - 0.25) more over 10 years for those reporting smoking lifestyles compared with the reference lifestyle. We thus show that differences in cognitive decline between lifestyles were primarily dependent on smoking status.

Co-occurrence of obesogenic behaviors and their implications for mental health during the COVID-19 pandemic: a study with university students

BACKGROUND

The university years are a critical period for young adults, as they are more exposed to obesogenic behaviors and experience stressful situations that compromise their mental health. This study aims to estimate the prevalence of anxiety and depression symptoms and evaluate the association between the combined occurrence of obesogenic behaviors among university students.

METHODS

A cross-sectional study was conducted on students from a public university in Brazil during the COVID-19 pandemic. Data were collected from July to August 2020 using an online questionnaire. The outcome variables (anxiety and depression symptoms) were assessed using the Depression, Anxiety and Stress Scale-21 (DASS-21). The co-occurrence of obesogenic behaviors was measured based on irregular consumption of fruits and vegetables, frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior. A Venn diagram was used for the exploratory analysis. To verify the association between the outcome and explanatory variables, a directed acyclic graph model was constructed, and multivariate logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs).

RESULTS

A total of 1,353 students aged 18-24 years participated in this study. Symptoms of anxiety and depression were present in 46.1% and 54.6% of the participants, respectively. The most prevalent combination of obesogenic behaviors was frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior (17.2%). The greater the number of simultaneous obesogenic behaviors, the higher the chance to present symptoms of anxiety [OR: 2.81 (95%CI: 1.77-4.46)] and depression [OR: 3.46 (95%CI: 2.20-5.43)].

CONCLUSION

These findings reinforce the need to take actions to promote mental health in the university environment in conjunction with programs to promote a healthy lifestyle and improve the physical and mental well-being of students.

Patterns of Health-Risk Behaviours and Their Associations With Anxiety and Depression Among Chinese Young Adults by Gender: A Latent Class Analysis

This study investigated gender differences in health-risk behaviour patterns among young adults and assessed the associations of anxiety and depression with these patterns. A cross-sectional survey was conducted with 1740 young Chinese adults aged 18-24 years. Latent class analysis (LCA) and multinomial logistic regression were conducted to identify the clusters of health-risk behaviours and their associations with anxiety and depression. Three common patterns were found for both genders: physical inactivity, substance use, and insufficient fruit intake (5.7% for males [M] and 11.6% for females [F]); a sedentary lifestyle only (48.4% for M and 48.9% for F); and a sedentary lifestyle, substance use, and an unhealthy diet (7.6% for M and 20.0% for F). Additionally, two additional unique patterns were found: physical inactivity and unhealthy diet in males (38.3%) and physical inactivity and insufficient fruit intake in females (19.6%). Sociodemographic variables exert different effects on health-risk behaviour patterns as a function of gender. Lower anxiety levels (odds ratio [OR]: 0.892; 95% confidence interval [CI]: 0.823-0.966) and greater depression levels (OR: 1.074; 95% CI: 1.008-1.143) were associated with a sedentary lifestyle, substance use, and unhealthy diet class only in female young adults compared with a sedentary-only class. These findings underscore the need for the implementation of targeted interventions based on gender differences.

Lifestyle trajectories in middle-aged adults and their relationship with health indicators

Introduction

Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions.

Methods

This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes.

Results

The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases (p < 0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's lifestyle trajectories remained relatively stable over time.

Discussion

Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.

Does the effect of adolescent health behaviours on adult cardiometabolic health differ by socioeconomic background? Protocol for a population-based cohort study

INTRODUCTION

Adolescence is a sensitive period for cardiometabolic health. Yet, it remains unknown if adolescent health behaviours, such as alcohol use, smoking, diet and physical activity, have differential effects across socioeconomic strata. Adopting a life-course perspective and a causal inference framework, we aim to assess whether the effects of adolescent health behaviours on adult cardiometabolic health differ by levels of neighbourhood deprivation, parental education and occupational class. Gaining a better understanding of these social disparities in susceptibility to health behaviours can inform policy initiatives that aim to improve population health and reduce socioeconomic inequalities in cardiometabolic health.

METHODS AND ANALYSIS

We will conduct a secondary analysis of the Young Finns Study, which is a longitudinal population-based cohort study. We will use measures of health behaviours-smoking, alcohol use, fruit and vegetable consumption, and physical activity-as exposure and parental education, occupational class and neighbourhood deprivation as effect modifiers during adolescence (ages 12-18 years). Eight biomarkers of cardiometabolic health (outcomes)-waist circumference, body mass index, blood pressure, low-density lipoprotein cholesterol, apolipoprotein B, plasma glucose and insulin resistance-will be measured when participants were aged 33-40. A descriptive analysis will investigate the clustering of health behaviours. Informed by this, we will conduct a causal analysis to estimate effects of single or clustered adolescent health behaviours on cardiometabolic health conditional on socioeconomic background. This analysis will be based on a causal model implemented via a directed acyclic graph and inverse probability-weighted marginal structural models to estimate effect modification.

ETHICS AND DISSEMINATION

The Young Finns study was conducted according to the guidelines of the Declaration of Helsinki, and the protocol was approved by ethics committees of University of Helsinki, Kuopio, Oulu, Tampere and Turku. We will disseminate findings at international conferences and a manuscript in an open-access peer-reviewed journal.

Prevalence and Correlates of Health Risk Behaviors among University Students from a State in the Southern Region of Brazil

BACKGROUND

Surveys conducted in different regions of the world show that the prevalence rates of health risk behaviors (HRBs) in university students are sometimes higher than those found in non-university populations. This study aims to identify the prevalence rates and demographic and academic environment correlates associated with HRBs among Brazilian university students.

METHODS

In a cross-sectional epidemiological study, a random sample of 5310 university students answered an online questionnaire, with demographic (sex, age, skin color, marital status, and paid work) and academic setting information (housing type, size of campus, year, and shift of study), as well as items clustered in four HRB domains: personal safety and violence, sexual behavior and contraception, addictive substance use, eating habits, physical activity, and sleep. The data were analyzed statistically using bivariate analysis and hierarchical multiple regression.

RESULTS

The highest prevalence rates occurred in HRBs clustered in the domain of eating habits, physical activity, and sleep (>60%), while HRBs for personal security and violence were less prevalent (<15%). From 15% to 35% of university students assumed HRBs regarding addictive substance use, and approximately 50% reported risky sexual behavior. The university students most susceptible to HRBs were men, aged ≥ 22 years, living far from their family, studying on larger campuses, attending night classes, and with two or more years of study at the university.

CONCLUSION

The findings suggest that policies and interventions in the university context aimed at students' readiness to engage in a healthy lifestyle should target specific correlates associated with HRBs.

The relationship between the price and demand of alcohol, tobacco, unhealthy food, sugar-sweetened beverages, and gambling: an umbrella review of systematic reviews

BACKGROUND

The WHO highlight alcohol, tobacco, unhealthy food, and sugar-sweetened beverage (SSB) taxes as one of the most effective policies for preventing and reducing the burden of non-communicable diseases. This umbrella review aimed to identify and summarise evidence from systematic reviews that report the relationship between price and demand or price and disease/death for alcohol, tobacco, unhealthy food, and SSBs. Given the recent recognition as gambling as a public health problem, we also included gambling.

METHODS

The protocol for this umbrella review was pre-registered (PROSPERO CRD42023447429). Seven electronic databases were searched between 2000-2023. Eligible systematic reviews were those published in any country, including adults or children, and which quantitatively examined the relationship between alcohol, tobacco, gambling, unhealthy food, or SSB price/tax and demand (sales/consumption) or disease/death. Two researchers undertook screening, eligibility, data extraction, and risk of bias assessment using the ROBIS tool.

RESULTS

We identified 50 reviews from 5,185 records, of which 31 reported on unhealthy food or SSBs, nine reported on tobacco, nine on alcohol, and one on multiple outcomes (alcohol, tobacco, unhealthy food, and SSBs). We did not identify any reviews on gambling. Higher prices were consistently associated with lower demand, notwithstanding variation in the size of effect across commodities or populations. Reductions in demand were large enough to be considered meaningful for policy.

CONCLUSIONS

Increases in the price of alcohol, tobacco, unhealthy food, and SSBs are consistently associated with decreases in demand. Moreover, increasing taxes can be expected to increase tax revenue. There may be potential in joining up approaches to taxation across the harm-causing commodities.

Clustering of health behaviors and their associations with cardiometabolic risk factors among adults at high risk for type 2 diabetes in India: A latent class analysis

BACKGROUND

We aimed to identify clusters of health behaviors and study their associations with cardiometabolic risk factors in adults at high risk for type 2 diabetes in India.

METHODS

Baseline data from the Kerala Diabetes Prevention Program (n = 1000; age 30-60 years) were used for this study. Information on physical activity (PA), sedentary behavior, fruit and vegetable intake, sleep, and alcohol and tobacco use was collected using questionnaires. Blood pressure, waist circumference, 2-h plasma glucose, high-density lipoprotein and low-density lipoprotein cholesterol, and triglycerides were measured using standardized protocols. Latent class analysis was used to identify clusters of health behaviors, and multilevel mixed-effects linear regression was employed to examine their associations with cardiometabolic risk factors.

RESULTS

Two classes were identified, with 87.4% of participants in class 1 and 12.6% in class 2. Participants in both classes had a high probability of not engaging in leisure-time PA (0.80 for class 1; 0.73 for class 2) and consuming <5 servings of fruit and vegetables per day (0.70 for class 1; 0.63 for class 2). However, participants in class 1 had a lower probability of sitting for >=3 h per day (0.26 vs 0.42), tobacco use (0.10 vs 0.75), and alcohol use (0.08 vs 1.00) compared to those in class 2. Class 1 had a significantly lower mean systolic blood pressure (β = -3.70 mm Hg, 95% confidence interval [CI] -7.05, -0.36), diastolic blood pressure (β = -2.45 mm Hg, 95% CI -4.74, -0.16), and triglycerides (β = -0.81 mg/dL, 95% CI -0.75, -0.89).

CONCLUSION

Implementing intervention strategies, tailored to cluster-specific health behaviors, is required for the effective prevention of cardiometabolic disorders among high-risk adults for type 2 diabetes.

Persistent and Changing Food Insecurity Among Students at a Midwestern University is Associated With Behavioral and Mental Health Outcomes

PURPOSE

To assess associations between persistent and changing food insecurity and behavioral and mental health outcomes in college students.

DESIGN

Online surveys conducted November 2018 and March 2019 (freshman year), and March 2020 (sophomore year) were used to assess food insecurity, which was then used to create 4 food security transitions: persistent food insecurity, emergent food insecurity, emergent food security, and persistent food security.

SETTING

Large Midwestern university.

SAMPLE

593 students completing all 3 surveys.

MEASURES

Dietary intake and behavioral and mental health outcomes (eating disorders, anxiety, depression, sleep quality) were assessed using validated instruments.

ANALYSIS

Associations between food security transitions and dietary intake, behavioral, and mental health outcomes were examined using generalized linear models.

RESULTS

Compared to persistent food security, emergent and persistent food insecurity was associated with lower (7% and 13% respectively) intake of fruits and vegetables combined; persistent food insecurity was associated with 17% lower intake of fruits, 6% lower intake of fiber and 10% higher intake of added sugar from beverages. Compared to persistent food secure students, eating disorder symptom risk was higher for emergent food insecure (OR = 7.61, 95% CI: 3.32, 17.48), and persistent food insecure (OR = 6.60, 95% CI: 2.60, 16.72) students; emergent (OR = 2.05, 95% CI: 1.14, 3.71) and persistent (OR = 2.55, 95% CI: 1.34, 4.87) food insecure students had higher odds of poor sleep quality, and persistent food insecure, emergent food insecure, and emergent food secure students had higher odds of anxiety and depression (OR range 2.35-2.85).

CONCLUSION

Food security transitions were associated with aspects of low diet quality and poorer behavioral and mental health outcomes among college students.

Patterns of unhealthy lifestyle and their associations with depressive and anxiety symptoms among Chinese young adults: A latent class analysis

BACKGROUND

There is little evidence on the association between patterns of unhealthy lifestyle and mental health among young adults.

METHOD

This study included a total of 28,978 young adults aged 18 to 44 years old in Guangdong province in south China, which was conducted from September to December in 2022. We used latent class analysis to classify the patterns of unhealthy lifestyle among young adults and used multiple logistic regression to explore their associations with depressive and anxiety symptoms.

RESULT

The weighted prevalence of depressive and anxiety symptoms were 28.0 % and 19.5 %, respectively. The cumulative effect of unhealthy lifestyles on depressive and anxiety symptoms was significant. Five patterns of unhealthy lifestyle were classified. Compared to the relatively healthy lifestyle class, the class with more unhealthy lifestyles (OR = 6.54, 95 % CI: 5.70-7.51) and insufficient sleep (OR = 6.16, 95 % CI: 4.92-7.70) had higher risk for depressive and anxiety symptoms. Meaningfully, having adequate mental health literacy could reduce the risk of depressive and anxiety symptoms from unhealthy lifestyle by half.

LIMITATIONS

The cross-section design study limited causal inferences, and the self-report information may lead to recall bias.

CONCLUSIONS

Unhealthy lifestyles have a negative impact on depressive and anxiety symptoms through independent, cumulative and combined effects, and they could be interrelated. Unhealthy lifestyle patterns differed in younger population by socio-demographic characteristics and mental health literacy. Health-care professionals and policymakers may provide programs to intervene multiple unhealthy lifestyles and improve mental health literacy by integrating healthy lifestyle education to promote youngers' mental health.

Prevalence and determinants of behavioral risk factors for noncommunicable diseases among students aged 13-19 years in Turkey

OBJECTIVE

The aim of this study was to investigate the prevalence and determinants of behavioral risk factors for noncommunicable diseases (NCDs) among students aged 13-19 years in Turkey.

METHODS

This cross-sectional study included a total of 1218 high-school students (mean age = 15.97 years; 57.6 % females) in Turkey. A facilitated survey in the form of a questionnaire was used to gather data. Questions from the Global School-Based Student Health Survey were adapted for the study, and the responses were analyzed using IBM SPSS Statistics 28. Binary logistic regression and Poisson regression were applied to identify the contributing factors.

RESULTS

The prevalence of inadequate fruit and vegetable consumption was 85.5 %, sedentary leisure behavior 80.9 %, physical inactivity 65.3 %, carbonated soft drink consumption 60.4 %, overweight or obesity 38.1 %, current tobacco use 23.1 %, and current alcohol use 14.5 %. The adjusted Poisson regression analysis showed that the odds for having behavioral risk factors were increased by being male, being in grade 11, and attending physical education classes, whereas the odds were reduced by having multiple psychological distress issues, regularly attending school, and having moderate or high parental support.

CONCLUSION

The prevalence of clustering of modifiable risk factors for NCDs was high among students aged 13-19 years in Turkey, and there is a need to mount effective interventions. Risk factors for these diseases are often preventable: Appropriate health interventions before, during, and after pregnancy as well as throughout childhood and adolescence can significantly reduce their prevalence.

The role of lifestyle factors in the association between education and self-reported fibromyalgia: a mediation analysis

BACKGROUND

Socioeconomic status as measured by education, income, or occupation, has been associated with fibromyalgia but the underlying mechanism and the role of lifestyle factors are unclear. Thus, we examine the role of modifiable lifestyle factors (body mass index, physical activity, alcohol consumption and smoking) in the association between education and self-reported fibromyalgia.

METHODS

We used data from 74,157 participants in the population-based prospective Norwegian Women and Cancer (NOWAC) study. Socioeconomic position, operationalized as years of educational attainment, and lifestyle factors were assessed via self-reported questionnaires. Multiple mediation analysis was used to decompose total effects into direct and indirect effects. Estimates were reported as hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

The cumulative incidence of fibromyalgia was 3.2% after a median follow up time of 13 years. Fibromyalgia was inversely associated with years of educational attainment for ≤ 9 years (HR = 2.56; 95% CI 2.32-2.91) and for 10-12 years (HR = 1.84; 95% CI 1.72-2.02), compared with ≥ 13 years of education. Overall, all lifestyle factors together jointly mediated 17.3% (95% CI 14.3-21.6) and 14.1% (95% CI 11.3-18.9) of the total effect for ≤ 9 years and 10-12 years of education, respectively. Smoking and alcohol consumption contributed the most to the proportion mediated, for ≤ 9 years (5.0% and 7.0%) and 10-12 years (5.6% and 4.5%) of education.

CONCLUSION

The association between education and self-reported fibromyalgia was partly explained through lifestyle factors, mainly smoking and alcohol consumption.

Genetic associations of risk behaviours and educational achievement

Risk behaviours are common in adolescent and persist into adulthood, people who engage in more risk behaviours are more likely to have lower educational attainment. We applied genetic causal inference methods to explore the causal relationship between adolescent risk behaviours and educational achievement. Risk behaviours were phenotypically associated with educational achievement at age 16 after adjusting for confounders (-0.11, 95%CI: -0.11, -0.09). Genomic-based restricted maximum likelihood (GREML) results indicated that both traits were heritable and have a shared genetic architecture (Riskh 2  = 0.18, 95% CI: -0.11,0.47; educationh 2  = 0.60, 95%CI: 0.50,0.70). Consistent with the phenotypic results, genetic variation associated with risk behaviour was negatively associated with education (r g  = -0.51, 95%CI: -1.04,0.02). Lastly, the bidirectional MR results indicate that educational achievement or a closely related trait is likely to affect risk behaviours PGI (β=-1.04, 95% CI: -1.41, -0.67), but we found little evidence that the genetic variation associated with risk behaviours affected educational achievement (β=0.00, 95% CI: -0.24,0.24). The results suggest engagement in risk behaviour may be partly driven by educational achievement or a closely related trait.

Co-occurrence of and factors associated with health risk behaviors among adolescents: a multi-center study in sub-Saharan Africa, China, and India

Background

Despite lifelong and detrimental effects, the co-occurrence of health risk behaviors (HRBs) during adolescence remains understudied in low- and middle-income countries. This study examines the co-occurrence of HRBs and its correlates among adolescents in sub-Saharan Africa, China, and India.

Methods

A multi-country cross-sectional study was conducted in 2021-2022, involving 9697 adolescents (aged 10-19 years) from eight countries, namely Burkina Faso, China, Ethiopia, India, Ghana, Nigeria, Tanzania, and Uganda. A standardized questionnaire was administered to examine five types of HRBs - physical inactivity, poor dietary habits, smoking, alcohol consumption, and risky sexual behavior. Latent class analysis was employed to identify clustering patterns among the behaviors, and logistic regression was used to identify the correlates of these patterns.

Findings

Three clusters of HRBs were identified, with Cluster 1 (27.73%) characterized by the absence of any specific risky behavior, Cluster 2 (68.16%) characterized by co-occurrence of physical inactivity and poor dietary habits, and Cluster 3 (4.11%) characterized by engagement in smoking, alcohol consumption, and risky sexual behavior. Relative to Cluster 1, being in Cluster 2 was associated with being female (aOR 1.20, 95% CI 1.09-1.32), not enrolled in education (aOR 0.84, 95% CI 0.71-0.99), and not engaged in paid work (aOR 1.23, 95% CI 1.08-1.41). Compared with those Cluster 1, adolescents in Cluster 3 were less likely to be female (aOR 0.41, 95% CI 0.32-0.54), be engaged in paid work (aOR 0.54, 95% CI 0.41-0.71), more likely to be older (aOR 7.56, 95% CI 5.18-11.03), not be enrolled in educational institution (aOR 1.74, 95% CI 1.27-2.38), and more likely to live with guardians other than parents (aOR 1.56, 95% CI 1.19-2.05).

Interpretation

The significant clustering patterns of HRBs among adolescents in sub-Saharan Africa, China, and India highlights the urgent need for convergent approaches to improve adolescent health behaviors. Early life and school-based programs aimed at promoting healthy behaviors and preventing risky and unhealthy behaviors should be prioritized to equip adolescents with the tools and skills for lifelong well-being.

Funding

Fondation Botnar (Grant #INV-037672) and Harvard T.H. Chan School of Public Health, partially funded this study.

Systematic review of longitudinal studies on the association between cluster of health-related behaviors and tooth loss among adults

OBJECTIVES

To systematically review longitudinal studies on the association between cluster of/multiple health-related behaviors and tooth loss among adults.  Materials and methods: Inclusion criteria were prospective and retrospective longitudinal studies; adults; multiple or cluster of behaviors; tooth loss, one or more tooth lost and complete tooth loss. Exclusion criteria were intervention studies; cross-sectional studies; case-control studies; children under 18 years-old; single behavior. Two reviewers searched three databases up to April 2023. Open Grey and Google Scholar were searched for grey literature.  Results: Twelve longitudinal studies were included in this review. Nine studies had good quality, two had poor quality, and one had fair quality according to New-Castle-Ottawa Scale. According to ROBINS-E tool, nine studies were judged as moderate risk of bias while two studies were at low risk of bias and one study had serious risk of bias. One study assessed cluster of behavior, while others examined a number of separate health-related behaviors in relation to tooth loss. Meta-analysis was not feasible because of the high heterogeneity in exposure, measure of outcomes, covariates, sample size, and follow-up time. The research found an association between tooth loss and oral hygiene practices (two studies), dental attendance (four studies), smoking (six studies), and alcohol consumption (three studies).  Conclusion: This review provides evidence of a longitudinal association between cluster of/multiple health related-behaviors and tooth loss.

Changes in co-use of alcohol and cannabis among Nordic adolescents in the 21st century: Results from the European School Survey Project on Alcohol and Other Drugs study

INTRODUCTION

In the 21st century, there has been a decline in alcohol use among adolescents in most Nordic countries, while trends of cannabis use have diverged. We explore how alcohol and cannabis use, respectively, and co-use of the two substances, have changed among Nordic adolescents. Three hypotheses are used to frame the study: (i) cannabis use has substituted alcohol use; (ii) there has been a parallel decline in both substances; and/or (iii) there has been a 'hardening' of users, implying that alcohol users increasingly use cannabis.

METHODS

Data from the European School Survey Project on Alcohol and Other Drugs, conducted among 15- to 16-year-olds in Denmark, Finland, Iceland, Norway and Sweden (N = 74,700, 49% boys), were used to explore trends of past-year alcohol and cannabis use in the period 2003-2019.

RESULTS

The proportion of adolescents reporting alcohol use decreased significantly in all Nordic countries except Denmark. The proportion of those using cannabis only was low (0.0%-0.7%) and stable in all countries. The total number of substance use occasions declined among all adolescents in all countries but Denmark. Among alcohol users, cannabis use became increasingly prevalent in all countries but Denmark.

DISCUSSION AND CONCLUSIONS

We found no support for the 'parallel decline hypothesis' in alcohol and cannabis use among Nordic adolescents. Partially in line with the 'substitution hypothesis', cannabis use accounted for an increasing proportion of all substance use occasions. Our results suggests that the co-use of alcohol and cannabis has become more common, thus also providing support to the 'hardening' hypothesis.

The relationship between cumulative ecological risk and health risk behaviors among Chinese adolescents

OBJECTIVES

To explore the relationship between cumulative ecological risk and individual risky behavior and multiple forms of aggregated behaviors among adolescents, and examine the gender differences.

METHODS

A large-scale, nationally representative, and students-based investigation was conducted in rural and urban areas of eight provinces in China from October to December 2021. A total of 22 868 adolescents with an average age of 14.64 years completely standardized questionnaire in which the sociodemographic characteristics, socio-ecological risk factors and risky behaviors were used to analyze.

RESULTS

Of included students, 48.4% encountered the high level of social-ecological risk. The prevalence of breakfast intake not daily, alcohol use (AU), smoking, physical inactivity, prolonged screen time (ST) on weekdays and weekends, suicidal ideation, suicidal plan, suicidal attempt, and non-suicidal self-injury (NSSI) was 41.0%, 11.9%, 3.4%, 61.9%, 15.1%, 51.1%, 27.7%, 13.9%, 6.5% and 27.0% respectively. 22.2% of participants engaged in high-risk behaviors. All were significantly influences of increased cumulative ecological risk on individual behavior and low-risk clustering behaviors separately. The odds ratio of breakfast intake not daily, AU, smoking, physical inactivity, prolonged ST in weekday and weekend, suicidal ideation, suicidal plan, suicidal attempt, and NSSI for the adjusted model in low versus high level of cumulative ecological risk was respectively significant in both boy and girls, and the ratio of odds ratios (ROR) was separately 0.95 (p = 0.228), 0.67 (p < 0.001), 0.44 (p < 0.001), 0.60 (p < 0.001), 0.78 (p = 0.001), 0.83 (p = 0.001), 0.80 (p = 0.001), 0.83 (p = 0.022), 0.71 (p = 0.005), 0.75 (p = 0.001). Girls encountering a high level of cumulative ecological risk were more likely to engage in multiple forms of clustering risky behaviors than boys (RORs: 0.77, p = 0.001).

CONCLUSIONS

Research and effective inventions at the social-ecological environment, based on the view of cumulative risk, are needed to promote the healthy development of behaviors in adolescence, and pay more attention to decreasing the occurrence of risky behaviours in girls than boys.

Simultaneity of health-related behaviors and food insecurity among pregnant women

The researchers aimed through this cross-sectional study to explore the co-occurrence of health-related behaviors and their association with food insecurity in pregnant women. The investigated behaviors include smoking, alcohol consumption, non-regular consumption of fruit, and physical inactivity among 605 participants. Our findings reveal that women experiencing food insecurity exhibit a higher prevalence of simultaneous engagement in specific health behaviors. Specifically, the co-occurrence of alcohol consumption and non-regular fruit consumption is elevated, as is the co-occurrence of smoking, alcohol consumption, and physical inactivity, and alcohol consumption, regular fruit consumption, and physical inactivity. The implications of these findings underscore the need for targeted interventions addressing both food insecurity and clustered health behaviors during pregnancy.

Stability in health behavior patterns in middle adulthood: a 19-year follow-up study

Objective: This study investigated subgroups of adults with particular health behavior patterns, their stability over 19 years, and the role of sociodemographic and personality characteristics in these.

Methods and Measures: Data on smoking, alcohol consumption, and physical activity were collected at ages 42, 50, and 61 in the Jyväskylä Longitudinal Study of Personality and Social Development (n = 205-302). Latent class, latent transition, and logistic regression analyses were used.

Results: Four similar classes of health behaviors were identified at each age. A class named low alcohol consumption (AC)-high physical activity (PA) included individuals with the lowest levels of alcohol consumption and the highest levels of physical activity, and a class named high AC-low PA vice versa. Classes between these extremes of alcohol consumption and physical activity levels were nonsmokers with the lowest proportion of smokers, and smokers vice versa. Although transitions emerged, class memberships were relatively stable. Women, those who were married, held a degree, had higher occupational status, and certain personality traits at age 42 were more likely to belong continuously to healthier classes compared to a stable membership in high AC-low PA.

Conclusion: Health behaviors exist in patterns, are relatively stable across adulthood, and associated with sociodemographic and personality characteristics.

Every tenth malignant solid tumor attributed to overweight and alcohol consumption: A population-based cohort study

BACKGROUND

Recent studies have shown that some four in ten cancers are attributable to a few key risk factors. The aim of this study was to estimate cohort-based population attributable fractions (PAFs) in Finland for potentially modifiable cancer risk factors.

METHODS

Data from eight health studies including 253,953 subjects with 29,802 incident malignant solid tumors were analysed using Bayesian multivariate regression model with multiplicative risk factor effects. We estimated the effects of smoking, excess body weight, alcohol consumption, physical activity, parity and education on cancer incidence and related PAFs by cancer site, accounting for competing mortality.

RESULTS

PAF for all cancer sites and exposures combined was 34% (95% credible interval 29%-39%) in men and 24% (19%-28%) in women. In men, 23% (21%-27%) and in women 8% (6%-9%) of all cancers were attributed to smoking. PAF related to excess body weight was 4% (2%-6%) in men and 5% (2%-7%) in women, to alcohol 7% (3%-10%) in men and 4% (0%-7%) in women, and to excess body weight and alcohol combined 10% (6%-15%) in men and 9% (4%-13%) in women.

CONCLUSION

Smoking was the most important factor contributing to cancer burden in Finnish men and women over the last 40 years. The contribution of excess body weight and alcohol consumption together outweighed the role of smoking in women. As the prevalence of overweight is expected to increase, more efficient public health measures supporting adherence to healthy weight are essential to reduce cancer burden.

The joint association of insomnia disorder and lifestyle on the risk of activity-limiting spinal pain: the HUNT Study

OBJECTIVES

To investigate whether the combination of multiple healthy lifestyle factors modify the well-established association between insomnia disorder and risk of activity-limiting spinal pain.

METHODS

We conducted a prospective study of 10,228 individuals who participated in two surveys over ∼11 years and were free of chronic pain in the neck, upper back, and lower back at baseline. Adjusted risk ratios (RRs) were calculated for the risk of activity-limiting chronic spinal pain (i.e., pain that impairs daily activities at work or leisure time) at follow-up associated with the joint association of insomnia disorder and the combination of five lifestyle factors (body mass index, leisure time physical activity, alcohol consumption, diet, and smoking) at baseline.

RESULTS

Our data indicate an additive interaction between insomnia disorder and lifestyle on risk of activity-limiting spinal pain, i.e., compared with participants without insomnia disorder and the best lifestyle score, participants with insomnia disorder and the worst lifestyle score had a RR of activity-limiting spinal pain of 3.57 (95 % CI: 2.65-4.80); participants with insomnia disorder and the best lifestyle score had a RR of 1.56 (95 % CI: 0.97-2.50); and those without insomnia disorder and the worst lifestyle score had a RR of 1.32 (95 % CI: 1.12-1.55).

CONCLUSIONS

Poor lifestyle behaviour amplifies the adverse effect of insomnia disorder on the risk of activity-limiting chronic spinal pain.

Development and validation of a lifestyle risk index to screen for metabolic syndrome and its components in two multi-ethnic cohorts

BACKGROUND

Metabolic syndrome (MetS) is a precursor to cardiovascular diseases and type 2 diabetes. Existing MetS prediction models relied heavily on biochemical measures and those based on non-invasive predictors such as lifestyle behaviours were limited. We aim to (1) develop a weighted lifestyle risk index for MetS and (2) externally validate this index using two Asian-based cohorts in Singapore.

METHODS

Using data from the Multi-Ethnic Cohort (MEC) 1 (n = 2873, 41% male), multiple logistic regression was used to identify predictors associated with MetS. A weighted lifestyle risk index was generated using coefficients of the selected predictors in the development cohort (MEC1). Subsequently, the performance of the lifestyle risk index in predicting the occurrence of MetS within 10 years was assessed by discrimination and calibration in an external validation cohort (MEC2) (n = 6070, 43% male).

RESULTS

A lifestyle risk index for MetS with nine predictors was developed (age, sex, ethnicity, having a family history of diabetes, BMI, diet, physical activity, smoking status, and screen time). This index demonstrated acceptable discrimination in the development cohort [AUC (95% CI) = 0.74 (0.71, 0.76)] and the validation cohort [AUC (95% CI) = 0.79 (0.77, 0.81)].

CONCLUSION

This lifestyle risk index exhibits potential for risk stratification in population-based screening programmes. Future research could apply a similar methodology to develop disease-specific lifestyle risk indices using nationwide registry-based data.

Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar

Background

Risky behaviours such as smoking, alcohol consumption, physical inactivity and inadequate consumption of fruits and vegetables are known contributing factors for non-communicable diseases (NCDs) which account for 74% of global mortality. Such behavioural risk factors co-occur frequently resulting in synergistic action for developing NCD related morbidity and mortality. This study aims to assess the existence of multiple risk behaviours and determine the socio-economic and demographic factors associated with co-occurrence of behavioural risks among Myanmar adult population.

Method

Data were collected, in the context of the SUNI-SEA project (Scaling Up NCD interventions in Southeast Asia), from 660 community members aged 40 years and above of both sexes, residing in selected urban and rural areas from Ayeyawaddy, Yangon and Mandalay regions of Myanmar. The co-occurrence of behavioural risk factors was presented as percentage with 95% CI and its determinants were identified by multinomial logistic regression.

Results

The co-occurrence of two risk behaviours and three or four risk behaviours were found in 40% (95% CI: 36.2%, 43.9%) and 10.8% (95% CI: 8.5%, 13.4%) respectively. Urban residents, men, participants without formal schooling and unemployed persons were more likely to exhibit co-occurrence of two risk behaviors and three or four risk behaviours.

Conclusion

The current study shows high prevalence of co-occurrence of behavioural risk factors among Myanmar adults in the study area. NCD prevention and control programs emphasizing management of behavioural risks should be intensively promoted, particularly directed towards multiple behavioural risk factors, and not focused on individual factors only.

Determinants of unhealthy living by gender, age group, and chronic health conditions across districts in Korea using the 2010-2017 Community Health Surveys

OBJECTIVES

We investigated the prevalence and determinants of unhealthy living by gender, age, and comorbidities across Korean districts.

METHODS

For 806,246 men and 923,260 women from 245 districts who participated in the 2010-2017 Korean Community Health Surveys, risk scores were calculated based on obesity, physical inactivity, smoking, and high-risk alcohol consumption, each scored from 0 (lowest risk) to 2 (highest risk). A risk score ≥4 was defined as indicating unhealthy living, and weighted proportions were calculated for each district. Using multivariate regression, an ecological model including community socioeconomic, interpersonal, and neighborhood factors was examined by gender, age, and comorbidities.

RESULTS

The mean age-standardized rate of unhealthy living was 24.05% for men and 4.91% for women (coefficients of variation, 13.94% and 29.51%, respectively). Individuals with chronic diseases more frequently exhibited unhealthy lifestyles. Unhealthy lifestyles were associated with educational attainment (β-coefficients: men, -0.21; women, -0.15), high household income (β=0.08 and 0.03, respectively), pub density (β=0.52 and 0.22, respectively), and fast-food outlet density (β=2.81 and 1.63, respectively). Negative associations were observed with manual labor, social activity participation, and hospital bed density. Unhealthy living was positively associated with living alone among women and with being unemployed among middle-aged men. Access to parks was negatively associated with unhealthy living among young men and women. The ecological model explained 32% of regional variation in men and 41% in women.

CONCLUSIONS

Improving the neighborhood built and socioeconomic environment may reduce regional disparities in lifestyle behaviors; however, the impacts may vary according to socio-demographic traits and comorbidities.

A smoking cessation intervention for rural veterans tailored to individual risk factors: A multicenter randomized clinical trial

INTRODUCTION

Rates of cigarette use remain elevated among those living in rural areas. Depressive symptoms, risky alcohol use, and weight concerns frequently accompany cigarette smoking and may adversely affect quitting. Whether treatment for tobacco use that simultaneously addresses these issues affects cessation outcomes is uncertain.

METHODS

The study was a multicenter, two-group, randomized controlled trial involving mostly rural veterans who smoke (N = 358) receiving treatment at one of five Veterans Affairs Medical Centers. The study randomly assigned participants to a tailored telephone counseling intervention or referral to their state tobacco quitline. Both groups received guideline-recommended smoking cessation pharmacotherapy, selected using a shared decision-making approach. The primary outcome was self-reported seven-day point prevalence abstinence (PPA) at three and six months. The study used salivary cotinine to verify self-reported quitting at six months.

RESULTS

Self-reported PPA was significantly greater in participants assigned to Tailored Counseling at three (OR = 1.66; 95 % CI: 1.07-2.58) but not six (OR = 1.35; 95 % CI: 0.85-2.15) months. Post hoc subgroup analyses examining treatment group differences based on whether participants had a positive screen for elevated depressive symptoms, risky alcohol use, and/or concerns about weight gain indicated that the cessation benefit of Tailored Counseling at three months was limited to those with ≥1 accompanying concern (OR = 2.02, 95 % CI: 1.20-3.42). Biochemical verification suggested low rates of misreporting.

CONCLUSIONS

A tailored smoking cessation intervention addressing concomitant risk factors enhanced short-term abstinence but did not significantly improve long-term quitting. Extending the duration of treatment may be necessary to sustain treatment effects.

The independent and joint risks of alcohol consumption, smoking, and excess weight on morbidity and mortality: a systematic review and meta-analysis exploring synergistic associations

OBJECTIVE

Alcohol consumption, smoking, and excess weight independently increase the risk of morbidity/mortality. Less is known about how they interact. This research aims to quantify the independent and joint associations of these exposures across health outcomes and identify whether these associations are synergistic.

STUDY DESIGN

The protocol for this systematic review and meta-analysis was pre-registered (PROSPERO CRD42021231443).

METHODS

Medline and Embase were searched between 1 January 2010 and 9 February 2022. Eligible peer-reviewed observational studies had to include adult participants from Organisation for Co-Operation and Development countries and report independent and joint associations between at least two eligible exposures (alcohol, smoking, and excess weight) and an ICD-10 outcome (or equivalent). For all estimates, we calculated the synergy index (SI) to identify whether joint associations were synergistic. Meta-analyses were conducted for outcomes with sufficiently homogenous data.

RESULTS

The search returned 26,290 studies, of which 98 were included. Based on 138,130 participants, the combined effect (SI) of alcohol and smoking on head and neck cancer death/disease was 3.78 times greater than the additive effect of each exposure (95% confidence interval [CI] = 2.61, 5.48). Based on 2,603,939 participants, the combined effect of alcohol and excess weight on liver disease/death was 1.55 times greater than the additive effect of each exposure (95% CI = 1.33, 1.82).

CONCLUSION

Synergistic associations suggest the true population-level risk may be underestimated. In the absence of bias, individuals with multiple risks would experience a greater absolute risk reduction from an intervention that targets a single exposure than individuals with a single risk.

Impaired driving and other risky drug use and sex behaviors: a cross-sectional examination of high-risk rural women incarcerated in jail

Background: Despite women accounting for an increasing proportion of impaired drivers and higher rates of impaired driving and road fatalities in rural areas, little is known about rural women who drive impaired and their other risky behavior.Objective: The present study assessed the association between impaired driving history, risky substance use, and other drug- and sex-related risk behaviors in a sample of high-risk rural women incarcerated in jail.Methods: Four hundred women from three rural jails provided information about their impaired driving, drug use, injection drug use practices, and sex risk behaviors. Groups were stratified on whether they self-reported impaired driving in the year prior to incarceration. Impaired drivers (n = 260, M = 31.90 years old) were compared to women who did not drive impaired (n = 131, M = 34.42 years old) using MANCOVA and logistic regression analyses.Results: Impaired drivers had significantly (p < .05) higher substance use severity scores for cannabis, sedatives, and prescription opioids. Furthermore, impaired drivers were significantly (p < .05) more likely to have been the passenger of an impaired driver (78.08% vs. 53.44%), been an injection drug user (69.62% vs. 41.98%), had a casual sex partner (47.31% vs. 25.95%), and traded sex for drugs or money (31.15% vs. 15.27%) in the year prior to incarceration.Conclusions: This study found a consistent association between past year impaired driving and a range of drug- and sex-related risk behaviors in a sample of high-risk rural women incarcerated in jail. These findings highlight an opportunity to intervene in criminal justice settings to reduce multiple health risk behaviors.

Oral cancer over six decades: a multivariable analysis of a clinicopathologic retrospective study

Studies have reported changes in the epidemiological profile of patients with oral cancer in recent decades, especially regarding gender and age. This study aimed to evaluate a historical series of oral malignant lesions prevalence over six decades and define characteristics associated with the occurrence, mainly, of oral squamous cell carcinoma (OSCC). A retrospective review of histopathological records from 1953 to 2019 was conducted in three oral pathology laboratories in South Brazil about age, sex, anatomical site, clinical aspect, and histopathological diagnosis. Descriptive and analytical analyses were performed comparing the histopathological diagnoses with other variables. Multivariable logistic regression was applied to determine the associated predictors of OSCC. Of the 53,065 records available in the institutions, 986 were oral malignant tumors (including all malignant neoplasms), representing 1.86% of all diagnoses. The occurrence of OSCC in the 1960's was 80.0%, decreasing over time reaching the lowest percentage of cases in the 1990's (75.8%) and significantly increasing to 88.7% in the 2010s. Females had a lower chance than males of having OSCC independently of the decade (odds ratio=0.30, p<0.001). This was the same for older individuals compared to those younger than 40 years. No interactions between sex, age, and decade were observed. The number of diagnoses of oral malignant lesions increased over time, and the occurrence of OSCC varied. Older individuals and males had higher chances of having OSCC independently of the decade. Therefore, in this study sample, no changes were observed in the epidemiological profile over the years concerning these predictors.

Cardiometabolic and renal phenotypes and transitions in the United States population

Cardiovascular and renal conditions have both shared and distinct determinants. In this study, we applied unsupervised clustering to multiple rounds of the National Health and Nutrition Examination Survey from 1988 to 2018, and identified 10 cardiometabolic and renal phenotypes. These included a 'low risk' phenotype; two groups with average risk factor levels but different heights; one group with low body-mass index and high levels of high-density lipoprotein cholesterol; five phenotypes with high levels of one or two related risk factors ('high heart rate', 'high cholesterol', 'high blood pressure', 'severe obesity' and 'severe hyperglycemia'); and one phenotype with low diastolic blood pressure (DBP) and low estimated glomerular filtration rate (eGFR). Prevalence of the 'high blood pressure' and 'high cholesterol' phenotypes decreased over time, contrasted by a rise in the 'severe obesity' and 'low DBP, low eGFR' phenotypes. The cardiometabolic and renal traits of the US population have shifted from phenotypes with high blood pressure and cholesterol toward poor kidney function, hyperglycemia and severe obesity.

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.

The influence of socioeconomic status on the association between unhealthy lifestyle factors and adverse health outcomes: a systematic review

Background

Combinations of lifestyle factors (LFs) and socioeconomic status (SES) are independently associated with cardiovascular disease (CVD), cancer, and mortality. Less advantaged SES groups may be disproportionately vulnerable to unhealthy LFs but interactions between LFs and SES remain poorly understood. This review aimed to synthesise the available evidence for whether and how SES modifies associations between combinations of LFs and adverse health outcomes.

Methods

Systematic review of studies that examine associations between combinations of >3 LFs (eg.smoking/physical activity/diet) and health outcomes and report data on SES (eg.income/education/poverty-index) influences on associations. Databases (PubMed/EMBASE/CINAHL), references, forward citations, and grey-literature were searched from inception to December 2021. Eligibility criteria were analyses of prospective adult cohorts that examined all-cause mortality or CVD/cancer mortality/incidence.

Results

Six studies (n=42,467-399,537; 46.5-56.8 years old; 54.6-59.3% women) of five cohorts were included. All examined all-cause mortality; three assessed CVD/cancer outcomes. Four studies observed multiplicative interactions between LFs and SES, but in opposing directions. Two studies tested for additive interactions; interactions were observed in one cohort (UK Biobank) and not in another (National Health and Nutrition Examination Survey (NHANES)). All-cause mortality HRs (95% confidence intervals) for unhealthy LFs (versus healthy LFs) from the most advantaged SES groups ranged from 0.68 (0.32-1.45) to 4.17 (2.27-7.69). Equivalent estimates from the least advantaged ranged from 1.30 (1.13-1.50) to 4.00 (2.22-7.14). In 19 analyses (including sensitivity analyses) of joint associations between LFs, SES, and all-cause mortality, highest all-cause mortality was observed in the unhealthiest LF-least advantaged suggesting an additive effect.

Conclusions

Limited and heterogenous literature suggests that the influence of SES on associations between combinations of unhealthy LFs and adverse health could be additive but remains unclear. Additional prospective analyses would help clarify whether SES modifies associations between combinations of unhealthy LFs and health outcomes.

Registration

Protocol is registered with PROSPERO (CRD42020172588;25 June 2020).

Comorbidities of diabetes and hypertension in Vietnam: current burden, trends over time, and correlated factors

BACKGROUND

Vietnam conducted the national Noncommunicable Disease Risk-Factor Surveillance (STEPs) surveys in the years 2010, 2015, and 2021. This study aims to use STEPs data to assess the burden of comorbidity between diabetes and hypertension, analyze trends over time, and identify factors associated with this comorbidity.

METHODS

The study extracted data for the population aged 25-64 years old from three STEPs surveys. Survey weight was used for all estimations of prevalence and 95% CI. Correlated factors with comorbidity were examined by a multivariate logistics model.

RESULTS

The prevalence of comorbidity in 2021 was about 3.92% among Vietnamese people aged 25-64. In the last 10 years, this prevalence has increased more than 8 times (from 0.44% to 3.92%). Sub-populations demonstrating the most significant changes included the male population, people living in urban areas, and older people. Significant factors correlated with comorbidity included demographic factors, body mass index (BMI), and clustering of 4 noncommunicable diseases (NCDs) behavioral risk factors (OR = 3.48, p < 0.05).

CONCLUSION

The high comorbidity between hypertension and diabetes underscores the imperative for integrated treatment and management approaches in Vietnam. Coordinated care is essential for addressing the complex interplay between these two prevalent conditions.

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.