The clustering of health-related behaviours in a British population sample: Testing for cohort differences

The effect of heavy smoking on retirement risk: A mendelian randomisation analysis

BACKGROUND AND AIMS

The extent to which heavy smoking and retirement risk are causally related remains to be determined. To overcome the endogeneity of heavy smoking behaviour, we employed a novel approach by exploiting the genetic predisposition to heavy smoking, as measured with a polygenic risk score (PGS), in a Mendelian Randomisation approach.

METHODS

8164 participants (mean age 68.86 years) from the English Longitudinal Study of Ageing had complete data on smoking behaviour, employment and a heavy smoking PGS. Heavy smoking was indexed as smoking at least 20 cigarettes a day. A time-to-event Mendelian Randomization (MR) analysis, using a complementary log-log (cloglog) link function, was employed to model the retirement risk.

RESULTS

Our results show that being a heavy smoker significantly increases the risk of retirement (β = 1.324, standard error = 0.622, p < 0.05). Results were robust to a battery of checks and a placebo analysis considering the never-smokers.

CONCLUSIONS

Overall, our findings support a causal pathway from heavy smoking to earlier retirement.

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.

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.

How socioeconomic status affects weight status through health-related lifestyles: a latent class analysis

AIMS

Obesity levels have increased worldwide with serious public health concerns. However, weight status is related to socioeconomic status (SES), which may also influence health-related lifestyles. Here, we study the association between SES and obesity mediated by diet and physical activity.

METHODS AND RESULTS

Using cross-sectional data from 2006, 2011, 2014, and 2017 Spanish health surveys (the final sample consisted of 61 768 adults aged between 18 and 64 years), we conducted a latent class analysis to estimate health-related lifestyle clusters (based on dietary patterns and physical activity) and mediation analyses to evaluate the association of SES and obesity through the clustering of health-related lifestyles. In both men and women, SES was inversely related to obesity (P < 0.001) and positively related to healthier lifestyle classes (P < 0.001). Obesity was inversely related to healthier lifestyle classes (P < 0.001). A small-although significant-proportion mediated by the clustering of lifestyles was found as follows: 4.9%, 95% CI (6.6%, 3.2%) in men and 2.3%, 95% CI (3.4%, 1.3%) in women for educational attainment, 5.3%, 95% CI (7.2%, 3.6%) in men and 2.0%, 95% CI (2.9%, 1.1%) in women for occupational social class, and 4.9%, 95% CI (6.5%, 3.1%) and 1.9%, 95% CI (2.9%, 1.1%) combining the above two SES indicators.

CONCLUSIONS

SES is related to obesity through clustering health-related lifestyles, with greater emphasis on men. However, the complex relationship between SES and weight status also suggests other indicators that contribute to the social gradient of obesity.

Health lifestyles during adolescence: clustering of health behaviours and social determinants in Italian adolescents

BACKGROUND

Health behaviours in adolescence have a high impact on both current and future health. The literature claims a focus on social determinants and shows that these behaviours are associated. The concept of 'health lifestyles' should be considered to account for co-occurring health behaviours and determinants interactions. The aim of this study is to increase our understanding of adolescents' health lifestyles and to (i) cluster adolescents according to a comprehensive number of health behaviours and (ii) describe these groups according to sociodemographic characteristics, perceptions of life contexts (family, school, peers or neighbourhood) and perceived physical and psychosocial health conditions.

METHODS

In Italy, 906 15-year-old students participated in the cross-national Health Behaviour of School-aged Children study. Clusters were identified by applying the KAMILA clustering method and compared using analysis of variance and chi-squared tests.Results: Four clusters were identified: 'substance consumers', 'media lovers', 'active students' and 'passive students'. Each cluster exhibited different characteristics related to health behaviours and social determinants.

CONCLUSIONS

Interesting associations between health behaviours were identified, which showed the relevance of considering the adolescents' overall lifestyles. The description of each cluster permitted the identification of risks and protective factors, which may be important for designing effective health promotion activities.

Clustering of Health and Oral Health-Compromising Behaviours in Army Personnel in Central Peninsular Malaysia

Health- and oral health-compromising behaviours (HOHCBs) impact the health readiness of military personnel, resulting in decreased fitness performance, thus affecting combat readiness. This study aimed to identify the clustering patterns and number of HOHCBs in army personnel in Central Peninsular Malaysia. Thus, a cross-sectional study using a multistage sampling technique and a validated 42-item online questionnaire was conducted to assess ten health (medical screening, physical activity, sedentary lifestyle, smoking status, alcohol consumption, substance abuse, aggressive behaviours, sleep, and road safety habits) and five oral health behaviour domains (tooth brushing, fluoridated toothpaste use, flossing, dental visits, and bruxism). Each HOHCB was dichotomised into healthy and health-compromising behaviour and analysed using hierarchical agglomerative cluster analysis (HACA). With the majority being males (92.5%), of other ranks (96.8%), and healthy (83.9%), 2435 army members of a mean age of 30.3 years (SD = 5.9) participated, with a response rate of 100%. HACA identified two clustering patterns: (i) 'high-risk behaviours' (30 HOHCBs) and (ii) 'most common risk behaviours' (12 HOHCBs) with a mean clustering number of 14.1 (SD = 4.1). In conclusion, army personnel in Central Peninsular Malaysia displayed 2 broad HOHCB clustering patterns, 'high-risk' and 'most common risk', with an average of 14 HOHCB clusters per person.

Lifestyle Profiles and Their Sociodemographic Correlate in an Academic Community Sample

Promoting healthy behaviors throughout life is an essential prevention tool. Prior research showed that unhealthy behaviors tend to co-occur and interplay. However, which behaviors co-occur most frequently and which sociodemographic variables are associated with specific clusters of unhealthy behavior are still being determined. This study aimed to identify different lifestyle profiles and analyze their associations with sociodemographic factors in an Italian academic community to plan targeted initiatives to promote healthy lifestyles. A sample of 8715 adults from an Italian university (mean age = 26 years; range = 18-76; 30% male) participated in an online survey in 2019. Four health-related behaviors were evaluated: diet, physical activity, smoking, and alcohol consumption. Lifestyle profiles were identified through cluster analysis. Then, a multinomial logistic regression was performed to explore the association among lifestyle profiles, sociodemographic variables (age, gender, and academic role), and body mass index (BMI). Results showed that older age was associated with the probability of belonging to the profile characterized by smoke addiction and regular alcohol consumption but also with the healthiest diet. The younger the age, the greater the probability of belonging to the most physically active profile. Men were more likely than women to belong to the lifestyle profile with the most regular alcohol consumption and the highest physical activity. Lower BMI was associated with the most physically active profile. This study shed light on factors associated with different co-occurring health-related behaviors that should be considered in planning effective communication strategies and preventive health interventions within the academic community.

The Dietary Intake of Polyphenols Is Associated with a Lower Risk of Severe Lumbar Spinal Stenosis: A Case-Control Analysis from the PREFACE Study

Polyphenols are naturally occurring compounds endowed with antioxidant and anti-inflammatory properties. We sought to examine the association of dietary polyphenols with the risk of severe lumbar spinal stenosis (LSS), a condition possibly characterized by a high inflammatory component. A case-control study included 156 patients with LSS and indication to surgery and 312 controls, matched (1:2) for sex, age (±6 months), and physical activity. The polyphenol intake was calculated by matching food consumption data from a 188-item food frequency questionnaire with the Phenol-Explorer database regarding the polyphenol content of each reported food. In a multivariable-adjusted logistic regression analysis including lifestyles, sociodemographic factors, and the Mediterranean Diet Score, a 1-standard deviation (SD) increase in dietary polyphenols intake was associated with lower odds of LSS (Odds ratio [OR] = 0.65; 95% CI: 0.47-0.89). Analyses of different polyphenol classes showed that a per 1-SD in the consumption of flavonoids and stilbenes was related to lower LSS risk (OR = 0.57; 95% CI: 0.42-0.78; OR = 0.40; 95% CI: 0.27-0.61, respectively). Further adjustment for the total dietary antioxidant capacity did not modify the strength of these associations. A diet rich in polyphenols is independently associated with a lower risk of severe LSS, possibly through mechanisms that include the anti-inflammatory potential of these bioactive compounds.

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

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

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

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Physical and social environmental factors related to co-occurrence of unhealthy lifestyle behaviors

Previous work identifying determinants of co-occurrence of behavioral risk factors have focused on their association with individuals' characteristics with scant attention paid to their relationship to contextual factors. Data came from 21,007 individuals ≥15 years of age who participated in the cross-sectional 2011-2012 Spanish National Health Survey. Two indicators were defined by tobacco consumption, alcohol intake, diet, physical activity, and body mass index. The first indicator, based on dichotomized measures, ranges from 0 to 5. The second one (unhealthy lifestyle index), ranges from 0 to 15, with 0 denoting the healthiest score. Among the determinants, we examined social support, five perceived characteristics of the neighborhood, and the socioeconomic deprivation index of the census tract of residence. Data were analyzed using multilevel linear and logistic regression models adjusted for the main sociodemographic characteristics. Using the dichotomized indicator, the probability of having 3-5 risk factors versus <3 factors was associated with low social support (Odds Ratio [OR] 1.50; 95% Confidence Interval [CI]: 1.25-1.80). Issues surrounding neighborhood cleanliness (OR = 1.18; 95%CI: 1.04-1.33), air pollution (OR = 1.38; 95%CI: 1.16-1.64), and street crime (OR = 1.21; 95%CI: 1.03-1.42) were associated with determinants of co-occurrence. Risk factors co-occurrence increased as deprivation level increased: the OR for the highest deprivation quintile versus the lowest was 1.30 (95%CI: 1.14-1.48). Similar results were observed when using the unhealthy lifestyle index. Poorer physical and social environments are related to greater co-occurrence of risk factors for chronic diseases. Health promotion interventions targeting the prevention of risk factors should consider the contextual characteristics of the neighborhood environment.

Cardiovascular risk behavior among industrial workers in the Northeast of Brazil: a cluster analysis

This research aimed to investigate the occurrence of clusters of cardiovascular risk behaviors and their association with social demographic and occupational characteristics in a population of industrial workers in the metropolitan area of Recife, Brazil. It was a transversal study with 727 workers of both genders. We identified cluster distribution from the variables: smoking, alcohol consumption, physical activity and waist circumference, by a combination of hierarchical and non-hierarchical analysis. We later tested the association with the social demographic and occupational variables with a multi-varied analysis. We have identified a protection cluster (sufficient physical activity, moderate alcohol consumption) and a risk cluster (high waist circumference, sedentarism, smoking, excessive alcohol consumption). The protection cluster was positively associated with night shift or variable shift work (RP: 1.66, IC95%: 1.26-2.17), and the risk cluster was associated with women (RP: 1.15, IC95%: 1.01-1.31). Cluster analysis allowed to identify that, for day shift workers and women, the shortest daytime outside the work environment can influence the adoption of cardiovascular risk behaviors.

A Comparative Cross-Sectional Study of the Consequences of the COVID-19 Lockdown on Women's Health Behaviors in Spain

Changes in health habits were observed during the COVID-19 pandemic. An unequal distribution of responsibilities may have generated unequal levels of stress in men and women, and, therefore, this may have led to different impacts on their health habits during lockdown. This study aimed to analyze the changes in eating habits, physical activity, sleep, and body weight in women, compared to men, because of lockdown. A comparative cross-sectional study was carried out. 2834 Spanish volunteers aged 19 to 76 completed an online survey on health habits. Descriptive and inferential analyses were performed using a cross-sectional methodology to explore gender differences. Results showed that men maintained their health habits to a greater extent, performing the same physical activity, while maintaining the quantity and quality of sleep, the quality of the diet, the quantity of the intake, and their mealtimes and body weight, whereas women's eating habits changed in relation to the quality of their diet and mealtimes, as their food intake and weight increased, and their sleep was poorer in quality and duration than it was before lockdown. This could be due to the higher levels of anxiety experienced by women as a result of working on essential jobs in addition to taking on more unpaid work associated with care and housework.

Prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence and hazardous alcohol drinking: a population-based study in the Brazilian Amazon

BACKGROUND

The burden of mental health disorders is high and may be particularly alarming in developing countries. We assessed the prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence, and hazardous alcohol drinking in the Brazilian Amazon.

METHODS

Cross-sectional population-based study conducted in Manaus in 2019 with adults selected by probabilistic sampling. Depressive symptoms were measured by the PHQ-9 instrument (cut-off ≥9) and anxiety symptoms by the GAD-7 scale (cut-off ≥10). Prevalence ratios (PRs) of depressive and anxiety symptoms were calculated by Poisson regression with robust variance with 95% confidence intervals (CI) following a hierarchical model. Partial least squares structural equation modeling was used to investigate the relationship between the outcomes and risk behaviors.

RESULTS

Out of the 2,321 participants, 24.3% (95%CI 22.2-26.5%) had depressive and 21.6% (95%CI 19.6-23.7%) had anxiety symptoms. Depressive symptoms were more frequent in women (PR=1.32; 95%CI 1.08-1.61), lower social class (PR=1.59; 95%CI 1.11-2.27), life-threatening events (PR=2.66; 95%CI 2.00-3.54), tobacco dependence (PR=1.84; 95%CI 1.37-2.47), worse health statuses (p<0.001), and chronic diseases (PR=1.63; 95%CI 1.33-2.00), but were lower in older adults (p=0.014). Anxiety symptoms were higher in women (PR=1.74; 95%CI 1.42-2.14), lower educational levels (PR=2.19; 95%CI 1.38-3.47), evangelical individuals (PR=1.28; 95%CI 1.05-1.57), having no religion (PR=1.72; 95%CI 1.24-2.38), life-threatening events (PR=3.26; 95%CI 2.41-4.41), tobacco dependence (PR=1.53; 95%CI 1.09-2.16), worse health statuses (p<0.001), and chronic diseases (PR=1.77; 95%CI 1.40-2.25). Depressive symptoms, anxiety symptoms, and life-threatening events were directly correlated with one another, while tobacco dependence and hazardous alcohol drinking were significantly intercorrelated (p<0.05).

LIMITATIONS

Cross-sectional design limits the assessment of causality. Recall bias was possible as responses were self-reported. GAD-7 scale was not validated in the Brazilian population.

CONCLUSION

Nearly a quarter of the population had depressive symptoms and one-fifth presented anxiety symptoms, which were associated with socioeconomic, behavioral, and health-related factors. Implementation of social well-being policies is required to minimize the burden of mental health disorders in the Amazonian population.

Subjective well-being and COVID-19 prevention practices among people living with HIV in Cape Town, South Africa

COVID-19 poses significant threats to the health of people with underlying chronic conditions, including people living with HIV. The association between subjective well-being and practicing COVID-19 preventive behaviours among people living with HIV is yet to be empirically tested. The objective of the current study was to test the hypothesis that subjective well-being would be associated with engaging in greater COVID-19 preventive behaviours. A sample of 200 women and 72 men (mean age 38.1, SD = 10.4) receiving HIV treatment at a clinic in Cape Town, South Africa completed interview administered surveys of health behaviours and three dimensions of subjective well-being: emotional, social and psychological well-being. Hierarchical regression models were performed to test subjective well-being as predictors of COVID-19 preventive behaviours adjusting for age, sex, education, TB history, antiretroviral therapy adherence, and concern about contracting COVID-19. Results showed that psychological well-being, along with concerns over COVID-19, predicted greater COVID-19 preventive behaviours over and above the other variables in the model, accounting for 9.2% of the variance. Results support incorporating interventions to foster psychological well-being into existing clinical services for people living with HIV to improve clusters of health behaviours.

Health-Related Lifestyle Profiles in Healthy Adults: Associations with Sociodemographic Indicators, Dispositional Optimism, and Sense of Coherence

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. Promoting healthy behaviors throughout life is an essential prevention tool. This study investigated the associations among lifestyle profiles (including diet, alcohol consumption, physical activity, cigarette smoking, and cardiovascular screening), sociodemographic factors (gender, age, education, and family history of CVDs), and psychological factors (sense of coherence and dispositional optimism). In total, 676 healthy adults (mean age = 35 years; range = 19-57; 46% male) participated in an online survey. Lifestyle profiles were identified through cluster analysis, and a multinomial logistic regression was then performed to explore their association with sociodemographic and psychological variables. Results show that men were more likely than women to belong to the lifestyle profile with the highest amount of physical activity (OR = 2.40; p < 0.001) and the greatest attention to cardiovascular screening (OR = 2.09; p < 0.01). Lower dispositional optimism was associated with the profile paying the greatest attention to cardiovascular screening (OR = 0.67; p < 0.05). Sense of coherence, in terms of lower comprehensibility (OR = 0.67; p < 0.05) and higher manageability (OR = 1.43; p < 0.05), was associated with the lifestyle profile characterized by an unhealthy diet, sedentary lifestyle, and nonsmoking. This study shed light on factors associated with different co-occurring health-related behaviors that should be considered in planning effective communication strategies promoting adherence to health claims.

Analyzing the Influence of Wine and Beer Drinking, Smoking, and Leisure Time Screen Viewing Activity on Body Weight: A Cross-Sectional Study in Germany

The increasing global prevalence of overweight and obesity highlights an urgent need to explore modifiable obesogenic factors. This study investigated the impact of lifestyle factors, such as beer and wine drinking, cigarette smoking, and leisure time screen viewing activities, on body weight and the development of obesity. Individual level data were selected from a random sample of 3471 German adults using a two-stage disproportionate random sampling procedure. The empirical analysis employed a two-stage equations system and combined the endogenous treatment effects model with the quantile regression technique. Our estimations showed that the decisions to smoke and consume wine and beer were positively interrelated, especially in women. Frequent beer/wine drinkers of normal weight were found to have a lower BMI in the male subsample. Quantile regression estimates indicated a significant influence of smoking on BMI in both genders, with smokers’ BMI following an upward trend, especially in the upper quantiles of the distribution. Leisure time screen activity was found to have a major impact on females’ BMI. Prolonged television viewing and regular computer gaming had a strong relationship with weight increase in overweight women, whereas internet surfing was inversely correlated with the BMI of normal weight and slightly overweight female participants. Nutrition and health policies should direct individuals toward alternative recreational activities in order to substitute screen usage and reduce sedentary time. This study also raised doubts about the general belief that smokers have a lower body weight. As unhealthy behaviors usually co-occur or cluster together, obesity prevention interventions might also contribute to a decrease in smoking.

Multiple Health Behavior Programs in School Settings: Strategies to Promote Transfer-of-Learning Through Life Skills Education

Typically, schools implement health promotion programs that focus on a single behavioral domain. Multiple related health topics may be addressed using separate interventions, potentially producing overlap in program content. However, integrative approaches in health promotion have the potential to produce interventions capable of improving multiple health behaviors. In particular, more research is needed to identify the conditions and the factors that can promote the transfer of learning to broaden the target outcomes of health promotion programs. The present study aims to identify the characteristics of an evidence-based life skills education program that can facilitate the transfer of learning to different health behaviors not initially targeted by the program, and the strategies for achieving successful transfer. A two round Delphi method was used with a diverse group of 21 experts in health promotion, life skills education, and methods of pedagogy for early adolescent students. Questionnaires with open and closed-ended questions were administered on-line. Content qualitative analysis was run, integrating codes, subcategories, and categories of the two rounds of the study. Results showed strong consensus among experts about the potential for promoting the transfer of skills from one health domain to another. Many elements were identified as important factors that facilitate the transfer of learning. Strategies for successful transfer were related to teaching methods, educational approaches, and consistency with the broader school curriculum. Findings suggest that the successful transfer of learning to a new health domain requires that educators recognize its importance and explicitly designate it as an educational aim.

The combined effect of behavioural risk factors on disability in aging adults from the Canadian Longitudinal Study on Aging (CLSA)

The objective of this study was to explore how behavioural risk factors (smoking, physical activity, and nutrition) cluster together and assess how clusters of behavioural risk factors are associated with functional disability by age and sex at the individual and population level. We used currently available baseline cross-sectional data from the Canadian Longitudinal Study on Aging (CLSA). The CLSA is a national, population-based longitudinal study established to understand and examine health of an aging population. This study included 51,338 Canadian men and women aged 45 to 85 years residing in the community in 10 Canadian provinces. Behavioural risk factors included smoking, physical activity, and nutrition. The main outcome used in the study was functional disability, which was assessed using a questionnaire adapted from the Older Americans Resources and Services Multidimensional Assessment Questionnaire. In this analyses of unique combinations of the risk factors of smoking, physical activity, and nutritional risk, the magnitude of the association of the behavioural risk factors with functional disability was dependent on which risk factors were included and differed by age and sex strata. Of the risk factors, physical activity accounted for between 70% to 90% of the total population level risk in individuals with all three risk factors, suggesting it is a key driver of the population burden of disability. Together, these results show that considering unique clusters of risk factors, as well as age and sex, is essential for tailoring public health strategies to reduce the burden of disability among aging populations.

Health Behaviors and Health-Related Quality of Life Among U.S. Adults Aged 18-64 Years

INTRODUCTION

This study aims to (1) describe the prevalence and clustering of 3 health behaviors, (2) examine the association between individual health behaviors and health-related quality of life, and (3) explore the association between the clustering of the health behaviors and health-related quality of life.

METHODS

Investigators analyzed a sample of U.S. adults aged 18-64 years using data from the 2016-2018 Behavioral Risk Factor Surveillance System survey in March 2020. Logistic regression models examined the associations among 3 healthy behaviors (currently not smoking, physical activity, and nonheavy alcohol consumption) and 4 indicators of health-related quality of life (general health, physical health, mental health, and activity limitation). Alpha was set at 0.01.

RESULTS

A total of 450,870 individuals were included in the analysis (weighted n=100,102,329). Of these, 82.0% were current nonsmokers, 92.8% were nonheavy drinkers, and 77.6% reported physical activity. The prevalence of having none, 1, 2, and 3 of the health behaviors was 0.7%, 7.7%, 30.1%, and 61.5%, respectively. Smoking status and physical activity status were significantly associated with all the 4 health-related quality of life indicators. Alcohol status was significantly associated with mental health and activity limitation. The associations demonstrated a higher health-related quality of life among individuals who reported healthy behaviors than among those who did not engage in healthy behaviors. Compared with respondents who reported none of the health behaviors, people with all 3 health behaviors were more likely to report higher health-related quality of life.

CONCLUSIONS

Health behaviors were significantly associated with health-related quality of life among U.S. adults. Healthy behaviors should be encouraged because adopting these behaviors may contribute to a higher health-related quality of life.

High educational attainment redresses the effect of occupational social class on health-related lifestyle: findings from four Spanish national health surveys

PURPOSE

Social determinants as occupational social class or educational attainment might influence health outcomes. This phenomenon is known as the social gradient of health and is related to a skewed distribution of health behaviours that might explain differences in morbidity and mortality between social groups. But social class and educational attainment differ in their nature and might have distinct effects on health. Here we study the combined effect of educational attainment and occupational social class on health-related lifestyle.

METHODS

We retrieved data from four large-scale, national representative Spanish surveys (n = 67,171). A latent class regression analysis was run to identify clusters of health-related lifestyle behaviours. Clusters were made according to sociodemographic factors, including a combined analysis of education and occupational social class.

RESULTS

Higher educational attainment and occupational social class were associated with a healthier lifestyle for both sexes. The combined analysis of education and social class indicated that women with secondary education showed a high risk combination of unhealthy behaviours, as men with middle, primary or no education.

CONCLUSIONS

Regardless of social class, a higher educational attainment redresses the effect of occupational social class on health-related behaviours. Our results suggest that education likely plays a crucial role in population health outcomes through its effects on lifestyle.

Large-scale systematic analysis of exposure to multiple cancer risk factors and the associations between exposure patterns and cancer incidence

Exposures to cancer risk factors such as smoking and alcohol are not mutually independent. We aimed to identify risk factor exposure patterns and their associations with sociodemographic characteristics and cancer incidence. We considered 120,771 female and, separately, 100,891 male participants of the Australian prospective cohort 45 and Up Study. Factor analysis grouped 36 self-reported variables into 8 combined factors each for females (largely representing 'smoking', 'alcohol', 'vigorous exercise', 'age at childbirth', 'Menopausal Hormone Therapy', 'parity and breastfeeding', 'standing/sitting', 'fruit and vegetables') and males (largely representing 'smoking', 'alcohol', 'vigorous exercise', 'urology and health', 'moderate exercise', 'standing/sitting', 'fruit and vegetables', 'meat and BMI'). Associations with cancer incidence were investigated using multivariable logistic regression (4-8 years follow-up: 6193 females, 8749 males diagnosed with cancer). After multiple-testing correction, we identified 10 associations between combined factors and cancer incidence for females and 6 for males, of which 14 represent well-known relationships (e.g. bowel cancer: females 'smoking' factor Odds Ratio (OR) 1.16 (95% Confidence Interval (CI) 1.08-1.25), males 'smoking' factor OR 1.15 (95% CI 1.07-1.23)), providing evidence for the validity of this approach. The catalogue of associations between exposure patterns, sociodemographic characteristics, and cancer incidence can help inform design of future studies and targeted prevention programmes.

Combinations of modifiable lifestyle behaviours in relation to colorectal cancer risk in Alberta's Tomorrow Project

The objective of this study was to identify distinct clusters of individuals that exhibit unique patterns of modifiable lifestyle-related behaviours and to determine how these patterns are associated with the risk of developing colorectal cancer (CRC). The study consisted of 26,460 participants and 267 CRC cases from Alberta's Tomorrow Project. Exploratory latent class analysis of risk behaviours (obesity, physical inactivity, meat consumption, smoking, alcohol consumption, and fruit and vegetable consumption) and Cox proportional hazard models were utilized. Seven unique behavioural groups were identified, where the risk of CRC was 2.34 to 2.87 times greater for high risk groups compared to the low risk group. Sex-specific models identified higher risk groups among men (Hazard Ratios [HRs]: 3.15 to 3.89) than among women (HRs: 1.99 to 2.19). Targeting groups defined by clustering of behaviours could potentially lead to more effective prevention of CRC on a population level.

Education differences in sickness absence and the role of health behaviors: a prospective twin study

BACKGROUND

Long-term sickness absences burden the economy in many industrialized countries. Both educational attainment and health behaviors are well-known predictors of sickness absence. It remains, however, unclear whether these associations are causal or due to confounding factors. The co-twin control method allows examining causal hypotheses by controlling for familial confounding (shared genes and environment). In this study, we applied this design to study the role of education and health behaviors in sickness absence, taking sex and cohort differences into account.

METHODS

Participants were two cohorts of in total 8806 Norwegian twins born 1948 to 1960 (older cohort, mean age at questionnaire = 40.3, 55.8% women), and 1967 to 1979 (younger cohort, mean age at questionnaire = 25.6, 58.9% women). Both cohorts had reported their health behaviors (smoking, physical activity and body mass index (BMI)) through a questionnaire during the 1990s. Data on the twins' educational attainment and long-term sickness absences between 2000 and 2014 were retrieved from Norwegian national registries. Random (individual-level) and fixed (within-twin pair) effects regression models were used to measure the associations between educational attainment, health behaviours and sickness absence and to test the effects of possible familial confounding.

RESULTS

Low education and poor health behaviors were associated with a higher proportion of sickness absence at the individual level. There were stronger effects of health behaviors on sickness absence in women, and in the older cohort, whereas the effect of educational attainment was similar across sex and cohorts. After adjustment for unobserved familial factors (genetic and environmental factors shared by twin pairs), the associations were strongly attenuated and non-significant, with the exception of health behaviors and sickness absence among men in the older cohort.

CONCLUSIONS

The associations between educational attainment, health behaviors, and sickness absence seem to be confounded by unobserved familial factors shared by co-twins. However, the association between health behaviors and sickness absence was consistent with a causal effect among men in the older cohort. Future studies should consider familial confounding, as well as sex and age/cohort differences, when assessing associations between education, health behaviors and sickness absence.

Factors Associated with Health Behaviors in Thyroid Cancer Survivors

In this study, we compared health behaviors, including current smoking, drinking, and physical inactivity, in thyroid cancer survivors and non-cancer controls and investigated the factors associated with unhealthy behaviors among survivors. Baseline data from the Health Examinees study, collected from 2004 to 2013, were used. Thyroid cancer survivors (n = 942), defined as those who had received a clinical diagnosis of thyroid cancer, and 9,420 matched non-cancer controls without past history of any cancer were included in the analysis. The prevalence of smoking, alcohol consumption, and physical inactivity in thyroid cancer survivors were 2.3%, 26.6%, and 52.0%, respectively, with adjusted OR (aOR) and 95% CI between survivors and non-cancer controls of 0.35 (95% CI = 0.08-1.56), 0.46 (95% CI = 0.29-0.74), and 0.65 (95% CI = 0.44-0.96). The prevalence of unhealthy behaviors was higher among male thyroid cancer survivors than female thyroid cancer survivors. In thyroid cancer survivors, those who smoked were more likely to drink (aOR = 4.55 [95% CI = 1.61-12.85]) and those who were physically inactive were less likely to drink (aOR = 0.58 [95% CI = 0.42-0.82]). Current drinking and physical inactivity contributed to a higher likelihood of smoking (aOR = 4.31 [95% CI = 1.35-13.73] and 6.34 [95% CI = 1.65-24.34]). Thyroid cancer survivors had better health behaviors than the non-cancer controls. However, some survivors still had unhealthy lifestyles, especially displaying a clustering of unhealthy behaviors. Thus, health behavior promotion through medical intervention is important for thyroid cancer survivors.

Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey

Background

Foods high in fat, sugar and salt (HFSS) are known to contribute to overweight and obesity. In addition to overweight and obesity, smoking, alcohol consumption and physical inactivity are known risk factors for non-communicable diseases, including several cancers and cardiovascular disease.

Methods

Secondary analysis of UK-representative cross-sectional survey data of 3293 adults aged 18+. Regression analyses were undertaken to understand the relationship between consumption of HFSS food and soft drinks, alcohol and tobacco and socio-demographics. Clustering analysis identified groupings of health risk factors.

Results

Males, those aged 18–24 and those from the more deprived groups consumed ready meals and fast food most frequently. Most of the sample (77.3%) engaged in at least one health risk behaviour. Six clusters were identified in the clustering analysis. Older (65+) female respondents were more likely to be inactive. Smokers exhibiting additional risk behaviours were more likely to be of working age from more deprived groups, and men over 65 were more likely to consume harmful levels of alcohol with additional risk factors.

Conclusion

Policies and services in the UK tend to focus on changing behaviour to address individual risk factors. This study shows that policies and interventions need to address multiple risk factors.

Sex differences in the relationship between dietary pattern adherence and cognitive function among older adults: findings from the NuAge study

BACKGROUND

Consumption of a prudent dietary pattern rich in healthy nutrients is associated with enhanced cognitive performance in older adulthood, while a Western dietary pattern low in healthy nutrients is associated with poor age-related cognitive function. Sex differences exist in dietary intake among older adults; however, there is a paucity of research examining the relationship between sex-specific dietary patterns and cognitive function in later life.

METHODS

The current study aimed to investigate sex differences in the relationship between sex-specific dietary pattern adherence and global cognitive function at baseline and over a 3-year follow-up in 1268 community-dwelling older adults (M_age = 74 years, n = 664 women, n = 612 men) from the Quebec Longitudinal Study on Nutrition and Successful Aging (NuAge). A 78-item Food Frequency Questionnaire was used to estimate dietary intake over the previous year. Sex-specific dietary pattern scores were derived using principal component analysis. Global cognition was assessed using the Modified Mini-Mental State Examination (3MS).

RESULTS

Adjusted linear mixed effects models indicated that a healthy, prudent dietary pattern was not associated with baseline cognitive performance in men or women. No relationship was found between Western dietary pattern adherence and baseline cognitive function in women. Among men, adherence to an unhealthy, Western dietary pattern was associated with poorer baseline cognitive function (β = - 0.652, p = 0.02, 95% CI [- 1.22, - 0.65]). No association was found between prudent or Western dietary patterns and cognitive change over time in men or women.

CONCLUSIONS

These findings highlight the importance of conducting sex-based analyses in aging research and suggest that the relationship between dietary pattern adherence and cognitive function in late life may be sex-dependent.

COVID-19 Confinement and Health Risk Behaviors in Spain

The World Health Organization (WHO) has declared a world pandemic due to COVID-19. In response, most affected countries have enacted measures involving compulsory confinement and restrictions on free movement, which likely influence citizens' lifestyles. This study investigates changes in health risk behaviors (HRBs) with duration of confinement. An online cross-sectional survey served to collect data about the Spanish adult population regarding health behaviors during the first 3 weeks of confinement. A large sample of participants (N = 2,741) (51.8% women; mean age 34.2 years [SD 13.0]) from all Spanish regions completed the survey. Binomial logistic regressions adjusted for socioeconomic characteristics (i.e., gender, age, civil status, education, and occupation), body mass index (BMI), previous HRBs, and confinement context (i.e., solitude and exposure to COVID-19) were conducted to investigate associations between the number of weeks confined and a set of six HRBs (physical activity, alcohol consumption, fresh fruit and vegetable consumption, smoking, screen exposure, and sleep hours). When adjusted, we observed significantly lower odds of experiencing a higher number of HRBs than before confinement overall in a time-dependent fashion: OR 0.63; 95% CI: 0.49-0.81 for the second and OR 0.47; 95% CI: 0.36-0.61 for the third week of confinement. These results were equally consistent in all age and gender subgroup analyses. The present study indicates that changes toward a higher number of HRBs than before confinement, as well as the prevalence of each HRB except screen exposure, decreased during the first 3 weeks of COVID-19 confinement, and thus the Spanish adult population may have adapted to the new situational context by gradually improving their health behaviors.

Patterns of Healthcare Discrimination Among Transgender Help-Seekers

INTRODUCTION

Affirmative health care is imperative to address health and mental health disparities faced by transgender communities. Yet, transgender help-seekers experience discrimination that precludes their access to and participation in care. This study uses latent class analysis to examine patterns of healthcare discrimination among transgender help-seekers. Predictors of class membership are investigated to identify subpopulations at highest risk for healthcare discrimination.

METHODS

Data were obtained from the 2015 U.S. Transgender Survey and analyzed in 2019. Ten healthcare experiences were included as latent class indicators. Latent class analysis and regression were performed in Mplus, version 8 to identify latent subgroups and examine the relationship between respondent characteristics and the latent classes.

RESULTS

The final sample included 23,541 respondents. A 3-class model fit best: Class 1 experienced overt discrimination and interfaced with providers with limited trans-competence; Class 2 did not experience healthcare discrimination or report issues related to providers' trans-competence; and Class 3 did not experience discrimination but had providers with low trans-competence. Transmen and respondents who were out as trans to their providers and reported psychological distress, suicidal thoughts, and disabilities were more likely to be members of Class 1 or 3 than Class 2.

CONCLUSIONS

Experiences of healthcare discrimination are not homogeneous across transgender help-seekers. Predictors of the latent classes indicated that transgender help-seekers holding an additional marginalized identity may be at higher risk for healthcare discrimination or care from providers with limited trans-competence. Targeted engagement and education interventions might improve these transgender help-seekers' access to and connections with care.

Development and reliability of questionnaires for the assessment of diet and physical activity behaviors in a multi-country sample in Europe the Feel4Diabetes Study

BACKGROUND

Assessment of diet and physical activity and their determinants still remains a demanding task, especially when the objective is to evaluate the efficacy of lifestyle interventions. In the context of the Feel4Diabetes study (a European community based intervention study in families with school aged children and at high risk of developing diabetes), we aimed to develop questionnaires for the assessment of food-frequency and eating behaviors, and physical activity and sedentary behaviors in both parents and school-aged children and a questionnaire for overall family's energy balance-related behaviors.

METHODS

Questionnaires were developed to be used in 6 countries under standardized harmonization procedures and included questions regarding not only food intake and physical activity, but also questions of their determinants. A reliability study was conducted in 191 pairs of parents and their children (N = 191). Parents completed the questionnaires on two occasions, within a 1-2 week interval. Reliability was tested by the intra-class correlation coefficients (ICC) of test-retest.

RESULTS

Most of the questions in all questionnaires had excellent reliability, assessed as an ICC of > 0.810. Mean ICCs for food-frequency and eating behaviors questionnaires were 0.838 and 0.787, and for physical activity and sedentary behaviors questionnaires were 0.734 and 0.793, in adults and children respectively. Mean ICC for overall family's energy balance-related behaviors and their determinants was 0.659.

CONCLUSION

The developed questionnaires showed acceptable reliability and may be valuable tools in the assessment of children's and parents' behaviors related to diet, physical activity, sedentary behavior and overall energy balance in school- and community-based interventions.

Co-occurrence of risk factors for non-communicable diseases among in-school adolescents in Tanzania: an example of a low-income setting of sub-Saharan Africa for adolescence health policy actions

BACKGROUND

Childhood lifestyle, health-risk behaviours contribute to two-thirds of non-communicable diseases (NCDs) premature mortality in adult populations. The co-occurrence of risk factors for NCDs is more harmful to health than that of individual risk factor effects when are added independently. The main objective of the present study was to explore the prevalence, sociodemographic distribution, and the co-occurrence of risk factors for NCDs among in-school adolescents.

METHODS

The present study is based on the secondary analysis of the first nationwide representative sample of the 2014 Tanzania Global School-based Student Health Survey (GSHS). A total sample of 3,793 in-school adolescents was included in the present analysis. The dependent variables were as follows: an unhealthy diet, physical inactivity, tobacco use, excessive alcohol use, and suicide attempt. The analysis involved the Chi squire χ2 test, multinomial and multivariate regression models: to determine the association between the variables of interest. In all analyses, the set level of statistical significance was a p-value of less than 0.05 at 95% confidence intervals.

RESULTS

The most prevalent combination of risk factors for NCDs were as follows: unhealthy diet and physical inactivity 666 (17.6%); unhealthy diet and suicide attempt 151 (4.0); unhealthy diet and tobacco use 98 (2.8); and unhealthy diet, physical inactivity, and suicide attempt 81 (2.1). In the adjusted regression model; having three 0.60 [0.40-0.91], and a sum of four and five 0.46 [0.28-0.79] risk factors than having no risk factor showed a significant declined with increasing in adolescents age. Primary in-school adolescents than secondary in-school adolescents were significantly more likely to have two 1.81 [1.42-2.32], three 2.40 [1.63-3.54]; and a sum of four and five 2.90 [1.61-5.13] combinations of risk factors.

CONCLUSION

The co-occurrence of lifestyle health-risk factors for NCDs was prevalent among in-school adolescents: it was significantly higher among younger adolescents. A multi-strategy public health intervention program may be more effective than that of a single risk factor approach: therefore, suitable for resource-limited settings, such as Tanzania.

Similarities and differences in health-related behavior clustering among older adults in Eastern and Western countries: A latent class analysis of global aging cohorts

AIM

To quantify variations in health-related behaviors (HRB) clustering of older adults in Western and Eastern countries.

METHODS

Using six aging cohorts from the USA, England, Europe, Japan, Korea and China, latent class analysis was applied to access the clustering of smoking, alcohol consumption, physical activity and social activity.

RESULTS

A total of 104 552 participants (55% women) aged ≥50 years in 2010 were included. Despite a different number of clusters identified, three consistent cluster profiles emerged: "Multiple-HRB" (ex-/never smoking, moderate drinking, frequent physical and social activity); "Inactives" (socially and physically inactive without other risk behaviors); and "(ex-)Smokers with Risk Behaviors". Sex and cohort variations were shown. For men in Western cohorts, "Multiple-HRB" was the predominant cluster, whereas their Asian counterparts were more likely to be members of the "Smokers with risk behavior" and "Inactives" clusters. Most women, particularly those in Asian cohorts, were never smokers and non-drinkers, and most of them belonged to the socially "Inactives" cluster.

CONCLUSIONS

We provide a person-centered understanding of HRB clustering of older adults over selected countries by sex, informing tailored health promotion for the target population. Geriatr Gerontol Int 2019; 19: 930-937.

Exploring the characteristics of newly defined at-risk drinkers following the change to the UK low risk drinking guidelines: a retrospective analysis using Health Survey for England data

BACKGROUND

Alcohol guidelines enable individuals to make informed choices about drinking and assist healthcare practitioners to identify and treat at-risk drinkers. The UK Low Risk Drinking Guidelines were revised in 2016 and the weekly guideline for men was reduced from 21 to 14 units per week. This study sought to retrospectively establish 1) the number of additional at-risk male drinkers in England, 2) which demographic characteristics were associated with being an at-risk drinker under the previous versus new guidelines.

METHODS

Average weekly alcohol consumption for men aged 16+ from the cross-sectional nationally representative Health Survey for England were used to 1) calculate annual population prevalence estimates for newly defined at-risk (> 14 to ≤21 units/week) male drinkers from 2011 to 2015 (N = 3487-3790), and 2) conduct logistic regression analyses for at-risk vs low risk male drinkers under the previous (> 21 vs ≤21 units/week) and new (> 14 vs ≤14 units/week) guidelines to assess characteristics associated with being at-risk drinkers under each guideline using 2015 data (N = 2982).

RESULTS

Population prevalence estimates of newly defined at-risk drinkers ranged from 10.2% (2014 = 2,182,401 men)-11.2% (2011 = 2,322,896 men). Under the new guidelines, men aged 55-74 (OR = 1.63,95% CI = 1.25-2.12); men in managerial/professional occupations (OR = 1.64,95% CI = 1.34-2.00); current smokers (OR = 2.26,95% CI = 1.73-2.94), ex-regular smokers (OR = 2.01,95% CI = 1.63-2.47) and ex-occasional smokers (OR = 1.85,95% CI = 1.25-2.74); men from the North East (OR = 2.08,95% CI = 1.38-3.13) and North West (OR = 1.91,95% CI = 1.41-2.60) of England all had greater odds, and non-white men had reduced odds (OR = 0.53,95% CI = 0.34-0.80) of being at-risk drinkers, as they had under the previous guidelines. Under the new guidelines only: a higher percentage of at-risk drinkers aged 16-34 (32% vs 19%) attenuated the odds of men aged 35-54 being at-risk (OR = 1.18,95% CI = 0.92-1.51); a higher percentage of married at-risk drinkers (37% vs 24%) attenuated the odds of single men being at-risk (OR = 1.28,95% CI = 0.99-1.67); men from the West Midlands (OR = 1.68,95% CI = 1.17-2.42) and London (OR = 1.53,95% CI = 1.03-2.28) had greater odds of being at-risk drinkers.

CONCLUSIONS

The change to the Low Risk Drinking Guidelines would have resulted in more than 2 million additional male at-risk drinkers in England. Most groups with greater odds of being at-risk drinkers under the new guidelines were those already known to be drinking the most, strengthening the case for targeted screening and education. Additionally, under the new guidelines, a marked proportion of 16-35 year olds and married men were at-risk and men in the West Midlands and London had greater odds of being at-risk drinkers. These groups may benefit from specific education around the new Low Risk Drinking Guidelines.

Lifestyle changes associated with participation in colorectal cancer screening: Prospective data from the English Longitudinal Study of Ageing

OBJECTIVES

Population-based cancer screening has been described as a teachable moment for behaviour change. This research examined the effect of faecal occult blood testing (FOBT) participation on smoking, alcohol consumption, fruit and vegetable consumption and physical activity.

SETTING

Data were from screening-naïve men within the English Longitudinal Study of Ageing, receiving their first FOBT invitation (n = 774). Four waves of data were included in analyses (wave 4, 2008/2009 - wave 7, 2014/2015). Baseline data were from the wave prior to FOBT invitation, and follow-up data were from the next consecutive wave (two years later).

METHODS

The effects of FOBT participation, time and group-by-time interactions on health behaviours were investigated using generalised estimating equations. Almost two-thirds of the sample (62.5%; n = 484) had participated in FOBT.

RESULTS

Screening participants were less likely to smoke (odds ratio (OR): 0.45, 95% confidence interval (CI): 0.29-0.68) and more likely to meet fruit and vegetable consumption guidelines (OR: 1.70, 95% CI: 1.14-2.55). Smoking decreased over time (OR: 0.74, 95% CI: 0.62-0.89), but adherence to alcohol guidelines also decreased (OR: 0.71, 95% CI: 0.53-0.91). A group-by-time interaction was found for vigorous physical activity; the odds of taking part in vigorous physical activity increased for FOBT participants, but decreased for non-participants (OR: 1.40, 95% CI: 1.01-1.95).

CONCLUSIONS

This research provides tentative support for FOBT as a teachable moment for increasing vigorous physical activity. However, overall, there was limited evidence for spontaneous improvement in multiple health behaviours following participation.

The stability of health-related behaviour clustering during mid-adulthood and the influence of social circumstances on health-related behaviour change

Evidence suggests that health-related behaviours (HRBs) cluster in mid-adulthood and are associated with social circumstances (i.e. economic circumstances, cultural norms, employment relations) at the same age. However, little is known about the level of stability in HRB cluster membership during mid-adulthood and how social circumstances in early mid-adulthood may influence movement between HRB clusters during mid-life. Data were taken from a British cohort born in 1958 (N = 12,784), to examine the stability of membership of three HRB clusters: 'Risky', 'Moderate Smokers' and 'Mainstream' (the latter pattern consisting of more beneficial HRBs such as not smoking, moderate alcohol consumption, being physically active), between ages 33 and 42. The relationship between social circumstances at age 33 and movement between HRB clusters during mid-adulthood was also examined. HRB cluster membership was relatively stable during mid-adulthood, over 60% of the participants remained in the same cluster at both ages. However, there was considerable probability of movement from the 'Risky' and 'Moderate Smokers' clusters at age 33 to the 'Mainstream' cluster at age 42. Members of the 'Risky' cluster had a lower probability of transitioning to the 'Mainstream' cluster (men = 17%, women = 9%, p < 0.001) in comparison to the 'Moderate Smokers' cluster (men = 26%, women = 27%, p < 0.001). Social circumstances at age 33 did not influence change in HRB cluster membership between ages 33 and 42 (p > 0.05). Movement from the 'Risky' and 'Moderate Smokers' cluster to the 'Mainstream' cluster during mid-adulthood highlights improvements for most HRBs. Person-centred interventions are required to prevent persistent negative HRBs amongst 'Risky' cluster members.

Interest in lifestyle advice at lung cancer screening: Determinants and preferences

BACKGROUND

Lung cancer screening could be a 'teachable moment' for behaviour change. Little is known about how advice about smoking cessation, or other behavioural cancer risk factors, would be received in this setting.

METHODS

Using a population-based survey of 459 English adults (current smokers and recent quitters aged 50-75) we assessed willingness to receive lifestyle advice (about smoking, diet, weight, physical activity, alcohol consumption) at lung screening. Additional items assessed whether advice should be provided following abnormal screening results, the potential impact of advice on screening uptake, and preferred timing of advice.

RESULTS

Overall, 64% (n = 292) of participants were willing to receive lifestyle advice at lung screening. A greater proportion of participants were willing to receive advice in a scenario where results required further investigation (83%; p < 0.01). However, 14% indicated the provision of lifestyle advice would make them less willing to attend lung screening. Non-White ethnicity and greater cancer risk factor awareness were associated with willingness to receive advice (p < 0.05). Half of smokers (51%) were willing to receive cessation advice. There was also interest in advice about diet (47%), weight (43%), physical activity (32%), and alcohol consumption (17%) among people not meeting current recommendations for these behaviours. There was a preference for advice to be delivered at the screening appointment (38%, n = 108) over other time-points.

CONCLUSIONS

Lung screening may offer an opportunity to provide advice about behavioural cancer risk factors. Future work should consider how to deliver effective interventions in this setting to support behaviour change, without affecting screening uptake.

Clustering of Health-Related Behavior Patterns and Demographics. Results From the Population-Based KORA S4/F4 Cohort Study

Background: Health behaviors are of great importance for public health. Previous research shows that health behaviors are clustered and do not occur by chance. The main objective of this study was to investigate and describe the clustering of alcohol consumption, nutrition, physical activity and smoking while also considering the influence of sex, age and education. Methods: Using data from the population-based KORA S4/F4 cohort study, latent class regression analysis was undertaken to identify different clusters of health behavior patterns. The clusters were described according to demographics. Furthermore, the clusters were described regarding health-related quality of life at baseline and at a 7 year follow-up. Results: Based on a sample of 4,238 participants, three distinct classes were identified. One overall healthy class and two heterogeneous classes. Classes varied especially according to sex, indicating a healthier behavior pattern for females. No clear association between healthier classes and age, education or physical and mental health-related quality of life was found. Discussion: This study strengthens the literature on the clustering of health behaviors and additionally describes the identified clusters in association with health-related quality of life. More research on associations between clustering of health behaviors and important clinical outcomes is needed.

One health behavior or many health-related behaviors?

Objective

Of the many existing health models, models of health behavior are considered optimal for research and application as they focus on concrete forms of behavior that support, maintain, or undermine one’s health, and they accentuate the individual as the initiator of this behavior. Research in this area follows a broad range of concrete partial manifestations of health behavior. Is it necessary to differentiate between various types of health behavior or could these partial manifestations be combined under one common scale?

Methods

Data acquisition tool: Health-Related Behavior Scale (HRBS, 42 items). Data processing methods: principal component analysis (the internal structure of HRBS), confirmatory factor analysis (the latent factor structure of four tested models). Sample: N=1,664 adult respondents.

Results

The HRBS described ten areas of health-related behavior (ten extracted factors). All tested models of latent structure showed almost identical mathematical and statistical values of the model.

Conclusion

Health-related behavior includes a set of partial behaviors (behavior related to nutrition, addictive substances, movement, and physical exercises). An unambiguous latent factor structure has not been revealed. An open question remains whether there is one latent factor behind all health-related behaviors or whether there are multiple latent factors. The use of one or the other model should be deduced from the underlying theory and research objectives. To find a reliable model of health behavior, it is necessary to include moderators and mediators such as personality, attitude, or economic status.

Mediterranean Lifestyle in Relation to Cognitive Health: Results from the HELIAD Study

Many lifestyle factors have been linked to cognitive function but little is known about their combined effect. An overall lifestyle pattern for people living in the Mediterranean basin has been proposed, including diet, but also physical activity, sleep and daily living activities with social/intellectual aspects. We aimed to examine the associations between a combination of these lifestyle factors and detailed cognitive performance. A total of 1716 participants from the Hellenic Longitudinal Investigation of Ageing and Diet (HELIAD), a population-based study of participants ≥65 years, were included in this analysis. Lifestyle factors were evaluated using standard, validated questionnaires and a Total Lifestyle Index (TLI) was constructed. Cognitive outcomes included mild cognitive impairment (MCI) diagnosis, a composite z-score (either continuous or with a threshold at the 25th percentile) and z-scores for five cognitive domains. A higher TLI was associated with 65% reduced odds for MCI in the non-demented individuals and 43% reduced odds for low global cognition when MCI participants were excluded, a risk reduction equivalent to 9 and 2.7 fewer years of ageing, respectively. Each lifestyle factor was differentially associated with domain-specific cognitive performance. Our results suggest that a TLI, more so than single lifestyle parameters, may be related to cognitive performance.

Investigating the growing trend of non-drinking among young people; analysis of repeated cross-sectional surveys in England 2005-2015

BACKGROUND

Non-drinking among young people has increased over the past decade in England, yet the underlying factor driving this change is unknown. Traditionally non-drinking has been found to be associated with lower socio-economic status and poorer health. This study explores among which sub-groups non-drinking has increased, and how this correlates with changes in drinking patterns, to identify whether behaviours are becoming more polarised, or reduction is widespread among young people.

METHODS

Among participants aged 16 to 24 years (N = 9699), within the annual cross-sectional nationally-representative Health Survey for England 2005-2015 datasets, the following analyses were conducted: 1) The proportion of non-drinkers among social-demographic and health sub-groups by year, and tests for linear trends among sub-groups, adjusting for age were calculated. In pooled analyses, an interaction between year and each variable was modelled in sex- and age-adjusted logistic regression models on the odds of being a non-drinker versus drinker 2) At the population level, spearman correlation co-efficients were calculated between the proportion non-drinking and the mean alcohol units consumed and binge drinking on the heaviest drinking day, by year. Ordinary least squares regression analyses were used, modelling the proportion non-drinking as the independent variable, and the mean units/binge drinking as the dependent variable.

RESULTS

Rates of non-drinking increased from 18% (95%CI 16-22%) in 2005 to 29% (25-33%) in 2015 (test for trend; p < 0.001), largely attributable to increases in lifetime abstention. Not drinking in the past week increased from 35% (32-39%) to 50% (45-55%) (p < 0.001). Significant linear increases in non-drinking were found among most sub-groups including healthier sub-groups (non-smokers, those with high physical activity and good mental health), white ethnicity, north and south regions, in full-time education, and employed. No significant increases in non-drinking were found among smokers, ethnic minorities and those with poor mental health. At the population-level, significant negative correlations were found between increases in non-drinking and declines in the mean units consumed (ρ = - 0.85, p < 0.001), and binge drinking (ρ = - 0.87, p < 0.001).

CONCLUSION

Increases in non-drinking among young people has coincided with a delayed initiation into alcohol consumption, and are to be welcomed. Future research should explore attitudes towards drinking among young people.

Lack of interest in physical activity - individual and environmental attributes in adults across Europe: The SPOTLIGHT project

A considerable proportion of European adults report little or no interest in physical activity. Identifying individual-level and environmental-level characteristics of these individuals can help designing effective interventions and policies to promote physical activity. This cross-sectional study additionally explored associations between level of interest and physical activity, after controlling for other individual and environmental variables. Measures of objective and perceived features of the physical environment of residence, self-reported physical activity and other lifestyle behaviors, barriers towards physical activity, general health, and demographics were obtained from 5205 European adults participating in the 2014 online SPOTLIGHT survey. t-Tests, chi-square tests, and generalized estimating equations with negative binomial log-link function were conducted. Adults not interested in physical activity reported a higher BMI and a lower self-rated health, were less educated, and to a smaller extent female and less frequently employed. They were more prone to have less healthy eating habits, and to perceive more barriers towards physical activity. Only minor differences were observed in environmental attributes: the non-interested were slightly more likely to live in neighborhoods objectively characterized as less aesthetic and containing more destinations, and perceived as less functional, safe, and aesthetic. Even after controlling for other individual and environmental factors, interest in physical activity remained a significant correlate of physical activity, supporting the importance of this association. This study is among the first to describe characteristics of individuals with reduced interest in physical activity, suggesting that (lack of) interest is a robust correlate of physical activity in several personal and environmental conditions.

Social influences on health-related behaviour clustering during adulthood in two British birth cohort studies

Building upon evidence linking socio-economic position (SEP) in childhood and adulthood with health-related behaviours (HRB) in adulthood, we examined how pre-adolescent SEP predicted membership of three HRB clusters: "Risky", "Moderate Smokers" and "Mainstream" (the latter pattern consisting of more beneficial HRBs), that were detected in our previous work. Data were taken from two British cohorts (born in 1958 and 1970) in pre-adolescence (age 11 and 10, respectively) and adulthood (age 33 and 34). SEP constructs in pre-adolescence and adulthood were derived through Confirmatory Factor Analysis. Conceptualised paths from pre-adolescent SEP to HRB cluster membership via adult SEP in our path models were tested for statistical significance separately by gender and cohort. Adult SEP mediated the path between pre-adolescent SEP and adult HRB clusters. More disadvantaged SEP in pre-adolescence predicted more disadvantaged SEP in adulthood which was associated with membership of the "Risky" and "Moderate Smokers" clusters compared to the "Mainstream" cluster. For example, large positive indirect effects between pre-adolescent SEP and adult HRB via adult SEP were present (coefficient 1958 Women = 0.39; 1970 Women = 0.36, 1958 Men = 0.51; 1970 Men = 0.39; p < 0.01) when comparing "Risky" and "Mainstream" cluster membership. Amongst men we found a small significant direct association (p < 0.001) between pre-adolescent SEP and HRB cluster membership. Our findings suggest that associations between adult SEP and HRBs are not likely to be pre-determined by earlier social circumstances, providing optimism for interventions relevant to reducing social gradients in HRBs. Observing consistent findings across the cohorts implies the social patterning of adult lifestyles may persist across time.

Modeling multiple health behaviors and general health

Multiple Health Behavior Change assumes health behaviors are related to one another, although research evidence is mixed. More research is needed to understand which behaviors are most closely related and how they collectively predict health. Principle component analysis and structural equation modeling were used to establish a model showing relations between health behaviors, including fruit/vegetable consumption, aerobic and strength exercise, alcohol intake, and smoking, and how these behaviors relate to general physical and mental health functioning in a large, national sample. Although health behaviors were found to coalesce into a health-promoting factor of diet, and exercise, a better overall model fit was found when all behaviors were modeled as separate independent variables. Results suggest that health behaviors relate to one another in complex ways, with perceived health status serving as a mediating variable between specific health behaviors and a factor of physical and mental health. Future research should further investigate how other health behaviors relate to perceptions and overall health, especially among subpopulations.

Repeated exposure to systemic inflammation and risk of new depressive symptoms among older adults

Evidence on systemic inflammation as a risk factor for future depression is inconsistent, possibly due to a lack of regard for persistency of exposure. We examined whether being inflamed on multiple occasions increases risk of new depressive symptoms using prospective data from a population-based sample of adults aged 50 years or older (the English Longitudinal Study of Ageing). Participants with less than four of eight depressive symptoms in 2004/05 and 2008/09 based on the Eight-item Centre for Epidemiologic Studies Depression scale were analysed. The number of occasions with C-reactive protein ⩾3 mg l^-1 over the same initial assessments (1 vs 0 occasion, and 2 vs 0 occasions) was examined in relation to change in depressive symptoms between 2008/09 and 2012/13 and odds of developing depressive symptomology (having more than or equal to four of eight symptoms) in 2012/13. In multivariable-adjusted regression models (n=2068), participants who were inflamed on 1 vs 0 occasion showed no increase in depressive symptoms nor raised odds of developing depressive symptomology; those inflamed on 2 vs 0 occasions showed a 0.10 (95% confidence intervals (CIs)=-0.07, 0.28) symptom increase and 1.60 (95% CI=1.00, 2.55) times higher odds. In further analyses, 2 vs 0 occasions of inflammation were associated with increased odds of developing depressive symptoms among women (odds ratio (OR)=2.75, 95% CI=1.53, 4.95), but not among men (OR=0.70, 95% CI=0.29, 1.68); P-for-sex interaction=0.035. In this cohort study of older adults, repeated but not transient exposure to systemic inflammation was associated with increased risk of future depressive symptoms among women; this subgroup finding requires confirmation of validity.

Multiple health behaviours among mothers and partners in England: Clustering, social patterning and intra-couple concordance

Research on multiple health behaviours is increasing but little is known about parental behaviours and how they covary. Our study investigates cigarette smoking, alcohol intake, fruit and vegetable (F&V) consumption and physical activity among mothers and co-resident partners in England. Using the UK Household Longitudinal Study, we examined (i) clustering of health behaviours using observed-expected ratios and latent class analysis (ii) socio-demographic correlates of the derived latent classes and (iii) intra-couple concordance of individual health behaviours and their latent classes. We identified five latent classes for mothers and partners: Never smoked drinkers (28% of mothers; 29% of partners), Abstainers (25%; 17%), Drinkers and ex-smokers (19%; 26%), Unhealthy low frequency drinkers (18%; 16%) and Unhealthiest behaviour group (11%; 12%). These had distinctive social profiles. Never smoked drinkers were more likely than those in other groups to be white and socially advantaged: married, older, and with higher educational qualifications and incomes. Abstainers were non-smokers who never or occasionally drank, and were disproportionately drawn from ethnic minority groups and middle/lower income families. Drinkers and ex-smokers were the most physically active group and were more likely to be socially advantaged. Unhealthy low frequency drinkers were more likely to be disadvantaged and have a limiting long-standing illness. The Unhealthiest behaviour group had the highest proportion of smokers, heavy smokers and binge drinkers and the lowest F&V intake and physical activity levels. They were largely white and socially disadvantaged: younger, non-married and with lower educational levels. Mothers and their partners typically shared the same risk behaviours, and 44 per cent of partners and mothers belonged to the same latent class. Our findings point to the potential for a broadening of research and policy perspectives, from separate behaviours to combinations of behaviours, and from individuals to the domestic units and communities of which they are part.