Physician screening for multiple behavioral health risk factors

Multiple Behavioral Risk Factors As Assets for Chronic Disease Prevention: Observations From Urban Primary Care Settings in Crete, Greece

AIM

This study aimed to assess the health profile of patient-attendees visiting primary healthcare (PHC) practice settings in the midst of the COVID-19 pandemic and to explore the relationships between multiple behavioral risk factors (MBRFs) and consultation-driven health information. Multiple behavioral risk factors involve a variety of unhealthy behaviors that are associated with an increased prevalence of non-communicable diseases (NCDs).

SUBJECTS AND METHODS

The study design was based on a dataset analysis, afterward exploring the feasibility and diagnostic capacity of respiratory morbidity aspects from a study previously conducted. The study dataset contained information regarding socio-demographic characteristics, health habits, clinical information, and reported comorbidities from 183 primary care patient-attendees. A categorical regression analysis was performed, using as a numeric variable the multiple MBRFs (clustering of 0 to four factors) in order to examine relationships with the basic and clinical characteristics of the patient-attendees.

RESULTS

Based on this secondary analysis, it was found that the prevalence of MBRFs is quite common among patient-attendees visiting urban PHC facilities. The prevalence of current smoking, sleep deprivation, increased body weight, and medium/high perceived stress levels were 33.9%, 52.5%, 83.1%, and 35.0%, respectively. An increased occurrence of MBRFs might be significantly predicted by the lower age of patient-attendees (b = -0.221, p = 0.05), by the absence of gray hair at an early age (b = -0.144, p = 0.042), by the physical discomfort during activities (b = 0.191, p = 0.017), or by the lower oxygen saturation (b = -0.184, p = 0.004). Diabetes mellitus (25.1%) was the most prevalent condition, followed by bronchial asthma (18.6%) and depression (15.8%).

CONCLUSIONS

Lower age, absence of premature hair whitening, physical discomfort during activities, and lower oxygen saturation are linked with an increased occurrence of MBRFs, leading to a neglected way of living. Those factors could be used to alert researchers, policymakers, and PHC professionals to act accordingly in order to prevent or early diagnose NCDs.

Longitudinal patterns of lifestyle risk behaviours among UK adults with established cardiovascular disease: a latent transition analysis

Background

People with cardiovascular disease (CVD) need to engage in healthy lifestyle behaviours. However, there is a gap in identifying longitudinal patterns of change in lifestyle behaviours among people with CVD. This study aimed to identify clustering of lifestyle risk behaviours and their 4 ± year changes among UK adults with CVD, and to determine the associated factors.

Methods

We used the UK Biobank data collected at two time points (2006-2010/baseline data = T0 and 2014+/third visit data = T4). Six key lifestyle risk behaviours were assessed: smoking, high alcohol intake, poor fruit and vegetable consumption, physical inactivity, poor sleep balance (<7 or >8 h/night) and prolonged sitting. A random intercept latent transition analysis was performed to identify patterns of lifestyle risk behaviours at T0 and their changes from T0 to T4.

Results

We included 5,304 participants with CVD whose data on lifestyle risk behaviours were collected at two-time points. Alcohol intake and current smoking were 75.7% and 5.4% at baseline, respectively, and 67.4% and 3.0% at follow-up. Three latent classes emerged: Latent class (LC) 1-"high alcohol intake, poor sleep balance and poor fruit and vegetable intake", LC2-"high alcohol intake and poor fruit and vegetable intake", and LC3-"high alcohol intake". Most adults remained in the same LC over the 4 + years (range: 83.9%-100.0%). After 4 + years, 3.5% from LC3 and 10.4% from LC2 at baseline moved into LC1. The odds of transitioning to LC2 relative to staying in LC1 and LC3 were 2.22 and 4.13 times higher for males than for females, respectively. A single-year increase in participants' age was associated with a 1.16 times increase in the odds of moving to LC1 relative to staying in LC2.

Conclusion

People with CVD did not show improvement in lifestyle risk behaviours, and interventions targeting multiple lifestyle risk behaviours are needed to improve CVD.

Unhealthy lifestyle impacts on biological systems involved in stress response: hypothalamic-pituitary-adrenal axis, inflammation and autonomous nervous system

An unhealthy lifestyle has a critical role in the pathogenesis and course of several chronic disorders. It has been hypothesized that lifestyle may also impact biological systems involved in stress response. A global index of unhealthy lifestyle was calculated based on the cumulative presence of five self-reported lifestyle habits (smoking, excessive alcohol use, drug use, low physical activity and short sleep) in 2783 participants (18-65 years) from the Netherlands Study of Depression and Anxiety. The functioning of biological stress systems was based on multiple physiological measures of cortisol, inflammatory cytokines and autonomic cardiac activity. The unhealthy lifestyle index was associated with hyperactivity of hypothalamus-pituitary-adrenal axis and increased inflammation, indicating that with increasing unhealthy habits, the level of biological stress increases. No association with the autonomic nervous system activity was observed; however, the use of drugs increased parasympathetic cardiac activity and significantly impacted on ANS. Results were not impacted by a recent episode of depression or anxiety disorder. An unhealthy lifestyle may unfavorably impact on biological systems involved in stress response, which may underlie progression of several psychiatric as well as somatic chronic disorders.

A Descriptive Study on Multiple Health-Risk Behaviors among Chinese Adults in Hong Kong

This study investigated the prevalence and clustering patterns of multiple health-risk behaviors and their associations with non-communicable diseases among Chinese adults in Hong Kong. A large sample survey was conducted in all 18 districts of Hong Kong between 21 June and 31 August 2021. A total of 5737 adults completed the survey. Overall, 4605 (80.3%) had at least one health-risk behavior and 2696 (47.0%) had two or more health-risk behaviors. Multiple health-risk behaviors were more prevalent among men. The prevalence of smoking and alcohol consumption among Hong Kong Chinese women was considerably lower than in most Western countries. In contrast to previous findings, this study revealed that a high proportion of adults with high educational attainment or household income had multiple health-risk behaviors. In addition, this study revealed that the health-risk behaviors in Chinese adults co-occurred in clusters, with smoking and alcohol consumption co-occurring with other health-risk behaviors. Those who smoked or consumed alcohol had the highest proportion of multiple health-risk behaviors and the highest proportion of non-communicable diseases. The findings of this study add further evidence that health-risk behaviors co-occur in clusters and can contribute to non-communicable diseases.

Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data

INTRODUCTION

People living in obesogenic environments, with limited access to healthful food outlets and exercise facilities, generally have poor health. Previous research suggests that behavioral risk factors and indicators of physiological functioning may mediate this link; however, no studies to date have had the requisite data to investigate multi-level behavioral and physiological risk factors simultaneously. The present study conducted serial and parallel mediation analyses to examine behavioral and physiological pathways explaining the association between environmental obesogenicity and cardiovascular disease (CVD).

METHODS

This cross-sectional observational study used data from the 2012-2016 Health and Retirement Study, a representative survey of US older adults (n = 12,482, mean age 65.9). Environmental obesogenicity was operationalized as a combined score consisting of nine environmental measures of food and physical activity. CVD and health-compromising behaviors (diet, alcohol consumption, smoking, and exercise) were self-reported. Physiological dysregulation was assessed with measured blood pressure, heart rate, HbA1c, cholesterol levels, BMI, and C-reactive protein. The Hayes Process Macro was used to examine serial and parallel paths through health-compromising behaviors and physiological dysregulation in the environmental obesogenicity-CVD link.

RESULTS

People living in more obesogenic environments had greater odds of self-reported CVD (odds ratio = 1.074, 95% confidence interval (CI): 1.028, 1.122), engaged in more health-compromising behaviors (β = 0.026, 95% CI: 0.008, 0.044), and had greater physiological dysregulation (β = 0.035, 95% CI: 0.017, 0.054). Combined, health-compromising behaviors and physiological dysregulation accounted for 7% of the total effects of environmental obesogenicity on CVD.

CONCLUSION

Behavioral and physiological pathways partially explain the environmental obesogenicity-CVD association. Obesogenic environments may stymie the success of cardiovascular health-promotion programs by reducing access to resources supporting healthy lifestyles.

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

Introduction

Individual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016.

Methods

This study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors.

Results

More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country.

Conclusion

The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

Opioid-Induced Hearing Loss and Neonatal Abstinence Syndrome: Clinical Considerations for Audiologists and Recommendations for Future Research

Purpose Over the last two decades, the number of Americans misusing opioids has reached epidemic levels. With such drastic increases in opioid misuse, audiologists are more likely to have patients with opioid-induced hearing loss or neonatal abstinence syndrome (NAS) than in previous years. More attention is needed on how these increases might influence clinical practice and such a discussion could be useful for audiologists. The goal of this article, therefore, is to summarize what is currently known regarding the relationship between opioid misuse and audiology to help guide hearing health care providers (with a particular focus on opioid-induced hearing loss and NAS). This article (a) summarizes the overlap in opioid misuse and hearing loss populations, (b) describes the evidence linking opioid misuse to hearing loss, (c) discusses clinical implications that opioid-induced hearing loss and NAS have for practicing audiologists, and (d) recommends directions for future audiological research on opioid-induced hearing loss and NAS. Conclusions There is considerable overlap between populations at-risk for hearing loss and opioid misuse. Additionally, compelling evidence exists linking opioid misuse to hearing loss, but the specific causal mechanisms remain unclear, indicating a need for additional research. This article attempts to fill a gap in the audiological literature and has the potential to serve as a guide for hearing health care providers to make more informed clinical decisions regarding patients with opioid-induced hearing loss and NAS. Clinicians may wish to consider the concerns raised in this article before intervening with such concerns, especially in the absence of best practice protocols.

Discussions About Lifestyle Risk Factors Following a Cancer Diagnosis: Findings from a Sample of Australian Cancer Outpatients

Individuals with a previous cancer diagnosis are at risk of cancer recurrence. However, many cancer survivors do not adhere to lifestyle recommendations to reduce cancer risk. Little is known about the extent to which cancer patients are asked about lifestyle risk factors by healthcare providers following diagnosis. The aim of this study is to determine among Australian cancer survivors the (1) proportion asked about smoking, alcohol consumption, nutrition and physical activity; (2) total number of lifestyle risk factors asked about; and (3) factors associated with being asked about fewer risk factors. A cross-sectional survey was conducted with cancer patients attending outpatient clinics. Eligible patients completed a baseline survey and a second survey 4 weeks later. Data about demographic and disease characteristics, and whether participants had been asked about smoking, alcohol, physical activity and diet since being diagnosed with cancer, was collected. A total of 144 patients were included in the analyses. Following diagnosis, most had been asked about smoking (86%), alcohol consumption (85%), physical activity (80%) and diet (69%) by a healthcare provider. Sixty-one percent of participants reported being asked about all four risk factors; only 6% recalled being asked about none. After controlling for age, participants with a high school or lower education were more likely to be asked about fewer risk factors (OR 2.16; 95%CI 1.0 to 4.6; p = 0.04) compared with those with a trade, vocational or university-level education. Just over one-third of a sample of Australian cancer patients were not asked about all assessed lifestyle risk factors following their diagnosis of cancer. These findings suggest there is scope to improve identification of lifestyle risk factors among cancer survivors.

Determinants of lifestyle counseling and current practices: A cross-sectional study among Dutch general practitioners

This study aimed to examine the amount of lifestyle counseling that Dutch general practitioners (GPs) generally provide to their patients, as well as the behavioral determinants of their lifestyle counseling practices. Lifestyle counseling was defined and operationalized through the 5As model (i.e. Assess, Advise, Agree, Assist and Arrange), while determinants were based on an adapted version of the theory of planned behavior. A cross-sectional study was conducted among a sample of 198 GPs, using an online survey questionnaire for collecting data. The results showed that 79.3% of the GPs assessed patients' current lifestyle often or always, while 60.1% reported they often or always assessed patients' motivation to improve their lifestyle. Depending on the lifestyle behavior, Advising to improve lifestyle ranged from 42.5% (sleep) to 92.4% (smoking), while Agree to set goals ranged from 21.7% (sleep) to 46.9% (smoking). Assisting patients to overcome barriers to lifestyle changes varied per patient barrier, ranging from lack of financial resources (25.7%) to stress (81.8%). The findings from the linear hierarchical regression revealed that GPs' self-efficacy (β = .46, p < .001), patient norm (β = .21, p < .001), and attitude (β = .20, p < .05) were the determinants with the strongest associations with lifestyle counseling. The full model explained 47% of the variance in counseling lifestyle. Implications for supporting GPs to counsel patients about their lifestyle are discussed.

Lifestyle and Psychosocial Patterns and Diabetes Incidence Among Women with and Without Obesity: a Prospective Latent Class Analysis

We conducted latent class analyses to identify women with homogeneous combinations of lifestyle and behavioral variables and tested whether latent classes were prospectively associated with diabetes incidence for women with or without baseline obesity. A total of 64,710 postmenopausal women aged 50-79 years without prevalent diabetes at baseline (years 1993-1998) were followed until 2018 with a mean follow-up of 14.6 years (sd = 6.4). Lifestyle variables included smoking, diet quality, physical activity, and sleep quality. Psychosocial variables included social support, depression, and optimism. Multivariable Cox proportional hazards regression models tested associations between latent classes and diabetes incidence controlling for age, race/ethnicity, and education. During follow-up, 8076 (12.4%) women developed diabetes. For women without baseline obesity, five latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.45; 95% CI 1.28, 1.64), poor diet and exercise (HR = 1.23; 95% CI 1.13, 1.33), and psychosocial risks alone (HR = 1.20; 95% CI 1.12, 1.29). For women with baseline obesity, four latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher for women with obesity in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.48; 95% CI 1.32, 1.66), poor diet and exercise (HR = 1.32; 95% CI 1.19, 1.47), and intermediate probabilities of multiple risks (HR = 1.17; 95% CI 1.05, 1.30). Diabetes prevention efforts that focus on diet and exercise may benefit from attention to how lifestyle behaviors interact with psychosocial variables to increase diabetes risks, and conversely, how psychological or social resources may be leveraged with lifestyle changes to reduce the risk for women with and without obesity.

The Role of Physical Activity in the Association Between Smoking Status and Quality of Life

OBJECTIVES

Nonsmoking status and physical activity have, individually, been shown to be associated with health-related quality of life (HRQoL). The objective of this study was to assess whether the relationship between smoking status and HRQoL is modified or influenced by physical activity.

METHODS

Data were extracted from the 2014 Behavioral Risk Factor Surveillance Survey dataset (N = 332680) in 2015. Logistic regression models were used to address study objectives. Health-related quality of life (HRQoL), measured using eight domains (general health, physical health, mental health, activity limitations, pain, depressive symptoms, anxiety, and vitality), was regressed on smoking status without and with adjustment for age, race, gender, education, marital status, income, employment, healthcare coverage, comorbidity, body mass index, flu vaccination, alcohol use, and physical activity. Smoking status by physical activity interaction term was added to the adjusted model and evaluated for significance.

RESULTS

There were significant smoking status by physical activity interaction effects on general health, physical health, activity limitations, and depressive symptoms domains. Among those who exercised, relative differences in the odds of a high HRQoL was smaller between former smokers and nonsmokers and larger between current smokers and nonsmokers when compared to those who did not exercise. Similarly, there were sharper relative differences between those who exercised and those who did not exercise among former smokers than among current smokers.

CONCLUSIONS

Smokers who successfully quit smoking (former smokers) may benefit from enhanced HRQoL that tends towards that of nonsmokers if they adopt physical activity in their daily routine.

IMPLICATIONS

Behavioral interventions that combine smoking cessation and physical activity may be more effective than either smoking cessation or physical activity alone in improving the quality of life measures such as overall, physical and mental health, and degree of limitation to activities due to poor health. Health care providers can support patients who successfully quit smoking to add exercise to their daily routine with the expectation of enhanced HRQoL.

Patient Interviewing Strategies to Recognize Substance Use, Misuse, and Abuse in the Dental Setting

Brief and effective clinical interviewing is critical for identifying patient risk factors, including those associated with substance use. Dental practitioners may perceive identifying patient substance misuse and abuse as a complex undertaking or may consider this clinical assessment beyond the scope of their training and practice. This article describes interviewing strategies that will help dental providers communicate effectively and empathically with their patients to collect relevant clinical information related to substance use, misuse, and abuse and provide better care for their patients.

Stability and Change in Health Behavior Profiles of U.S. Adults

OBJECTIVES

While understanding of complex within-person clustering of health behaviors into meaningful profiles of risk is growing, we still know little about whether and how U.S. adults transition from one profile to another as they age. This study assesses patterns of stability and change in profiles of tobacco and alcohol use and body mass index (BMI).

METHOD

A nationally representative cohort of U.S. adults 25 years and older was interviewed up to 5 times between 1986 and 2011. Latent transition analysis (LTA) models characterized the most common profiles, patterning of transitions across profiles over follow-up, and assessed whether some were associated with higher mortality risk.

RESULTS

We identified 5 profiles: "health promoting" with normal BMI and moderate alcohol consumption; "overweight"; "current smokers"; "obese"; and "nondrinkers". Profile membership was largely stable, with the most common transitions to death or weight gain. "Obese" was the most stable profile, while "smokers" were most likely to transition to another profile. Mortality was most frequent in the "obese" and "nondrinker" profiles.

DISCUSSION

Stability was more common than transition, suggesting that adults sort into health behavior profiles relatively early. Women and men were differently distributed across profiles at baseline, but showed broad similarity in transitions.

Associations of Psychosocial Factors with Multiple Health Behaviors: A Population-Based Study of Middle-Aged Men and Women

Background: The health behaviors smoking, risky alcohol consumption, insufficient physical activity, and poor diet constitute the main contributors to non-communicable diseases. Clustering of risk behaviors is common and increases the risk of these diseases. Despite health benefits, it is difficult to change health behaviors. Psychosocial factors could play a role in health behavior change, with research showing relationships between unfavorable psychosocial factors and health risk behaviors. However, many studies only investigated one or two health behaviors at a time. The present study, therefore, aimed to investigate associations between a broad range of psychosocial factors and multiple health risk behaviors in a general middle-aged population in Sweden. Methods: A cross-sectional design was used to investigate a random sample from the general population in Sweden (n = 1007, 45–69 years, 50% women). Questionnaire data on health behaviors (smoking, alcohol consumption, physical activity, and fruit/vegetable intake) and psychosocial factors, with both psychological and social resources (social integration, emotional support, perceived control, self-esteem, sense of coherence and trust) and psychological risk factors (cynicism, vital exhaustion, hopelessness and depressiveness), were analyzed. Logistic and ordinal logistic regression were used to analyze associations between psychosocial factors and multiple (0–1, 2 or 3–4) health risk behaviors. Results: A total of 50% of the sample had two health risk behaviors and 18% had three health risk behaviors. After adjusting for age, sex, education, employment status, and immigrant status, eight out of 10 psychosocial factors (exceptions: social integration and self-esteem) showed significant odds ratios (ORs) in the expected directions; low levels of psychosocial resources and high levels of psychosocial risk factors were associated with multiple risk behaviors. The strongest associations with multiple risk behaviors were seen for vital exhaustion (adjusted (adj.) OR 1.28; confidence interval (CI) 1.11–1.46), depressiveness (adj. OR 1.32, CI 1.14–1.52), and trust (adj. OR 0.80, CI 0.70–0.91). When controlling for all psychosocial factors in the same model, only the association with trust remained statistically significant (adj. OR 0.89, CI 0.73–1.00, p = 0.050). Associations with individual health behaviors were fewer and scattered, with no psychosocial factor being related to all four behaviors. Conclusions: Examining associations between a broad range of psychosocial factors and multiple health risk behaviors revealed consistent and significant associations for almost all psychosocial factors. These associations were stronger compared to associations to single health risk behaviors. Our findings support the relevance of considering psychosocial aspects in interventions aimed at health behavior change, especially for people with multiple health risk behaviors.

Racial/Ethnic Variations in Clustered Risk Behaviors in the U.S

INTRODUCTION

Alcohol misuse, cigarette smoking, poor diet, and physical inactivity, known as the "big four" contributors to chronic conditions and mortality, typically co-occur or cluster together, with their synergistic effect more detrimental to health than their cumulative individual effects. Little research has been reported on race/ethnicity-specific analyses of the clustering of these behaviors in the U.S. This study identified clustered risk behaviors among whites, blacks, and Hispanics and examined whether unhealthy clusters were associated with lower SES (assessed by education level and family income) and poor health status.

METHODS

A nationally representative sample of U.S. adults aged 30-69 years (n=9,761) from the 2010 and 2015 National Alcohol Surveys was used to perform latent class analysis and multinomial and logistic regression modeling in 2018-2019. Obesity was used as a proxy for unhealthy diet.

RESULTS

Three lifestyle classes were identified in each group. The relatively healthy lifestyle class was identified among whites and Hispanics. The nonsmoking and low risky drinking class among blacks, though showing a healthier lifestyle than the other 2 classes, still had relatively high prevalence of inactivity and obesity. The inactive and obese class was found in all 3 groups. Also identified were the smoking and risky drinking class among whites; the smoking and inactive class among blacks; and the smoking, inactive, and risky drinking class among Hispanics. For all 3 groups, unhealthy lifestyle classes mostly were associated with lower SES. Unhealthy lifestyle classes were also associated with poorer health status.

CONCLUSIONS

Multi-behavior interventions are warranted to address inactivity and obesity in all 3 groups and unhealthy clusters involving smoking in each group.

Cognitive Function and its Risk Factors Among Older US Adults Living at Home

BACKGROUND

The Montreal Cognitive Assessment (MoCA) has not been administered to a representative national sample, precluding comparison of patient scores to the general population and for risk factor identification.

METHODS

A validated survey-based adaptation of the MoCA (MoCA-SA) was administered to a probability sample of home-dwelling US adults aged 62 to 90, using the National Social Life, Health, and Aging Project (n=3129), yielding estimates of prevalence in the United States. The association between MoCA-SA scores and sociodemographic and health-related risk factors were determined.

RESULTS

MoCA-SA scores decreased with age, and there were substantial differences among sex, education, and race/ethnicity groups. Poor physical health, functional status, and depression were also associated with lower cognitive performance; current health behaviors were not. Using the recommended MoCA cut-point score for Mild Cognitive Impairment (MoCA score <26; MoCA-SA score <17), 72% (95% confidence interval, 69% to 74%) of older US adults would be classified as having some degree of cognitive impairment.

CONCLUSIONS

Our results provide an important national estimate for interpreting MoCA scores from individual patients, and establish wide variability in cognition among older home-dwelling US adults. Care should be taken in applying previously-established MoCA cut-points to the general population, especially when evaluating individuals from educationally and ethnically diverse groups.

Toward a health-promoting system for cancer survivors: Patient and provider multiple behavior change

OBJECTIVE

This paper examines how and why to improve care systems for disease management and health promotion for the growing population of cancer survivors with cardiovascular multi-morbidities.

METHOD

We reviewed research characterizing cancer survivors' and their multiple providers' common sense cognitive models of survivors' main health threats, preventable causes of adverse health events, and optimal coping strategies.

RESULTS

Findings indicate that no entity in the health care system self-identifies as claiming primary responsibility to address longstanding unhealthy lifestyle behaviors that heighten survivors' susceptibility to both cancer and cardiovascular disease (CVD) and whose improvement could enhance quality of life.

CONCLUSIONS

To address this gap, we propose systems-level changes that integrate health promotion into existing survivorship services by including behavioral risk factor vital signs in the electronic medical record, with default proactive referral to a health promotionist (a paraprofessional coach adept with mobile technologies and supervised by a professional expert in health behavior change). By using the patient's digital tracking data to coach remotely and periodically report progress to providers, the health promotionist closes a gap, creating a connected care system that supports, reinforces, and maintains accountability for healthy lifestyle improvement. No comparable resource solely dedicated to treatment of chronic disease risk behaviors (smoking, obesity, physical inactivity, treatment nonadherence) exists in current models of integrated care. Integrating health promotionists into care delivery channels would remove burden from overtaxed PCPs and instantiate a comprehensive, actionable systems-level schema of health risks and coping strategies needed to have preventive impact with minimal interference to clinical work flow. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The association between the receipt of primary care clinician provision of preventive care and short term health behaviour change

Primary healthcare services are recommended to provide preventive care to address chronic disease risk behaviours. However, all care elements are infrequently provided, and there is a need to understand the impact of partial care provision on behaviour change. This study examined the association between variable levels of preventive care receipt from primary care clinicians on short-term behaviour change for four risk behaviours. A survey was undertaken with 5639 Australian community health service clients (2009-2014). Clients self-reported: engagement in risk behaviours (tobacco smoking, harmful alcohol consumption, inadequate fruit and/or vegetable consumption, physical inactivity) in the month prior to and four week post their community health service appointment; receipt of preventive care during appointments (assessment, advice, referral/follow-up) for each behaviour. Univariate regression models explored the association between change in risk status and preventive care received. The odds of behaviour change for those receiving all three care elements was significant for all behaviours, compared to no care, ranging from 2.02 (alcohol consumption, 95% CI 1.16-3.49) to 4.17 (inadequate fruit and/or vegetable consumption, 95% CI 2.91-5.96). Receipt of both assessment and advice increased the odds of behaviour change, compared to no care, for all behaviours except smoking, ranging from 2.32 (physical inactivity, 95% CI 1.60-3.35) to 2.83 (alcohol consumption, 95% CI 1.84-4.33). Receipt of 'assessment only' increased the odds of behaviour change, compared to no care, for inadequate fruit and/or vegetable consumption (OR = 2.40, 95% CI 1.60-3.59) and physical inactivity (OR = 2.81, 95% CI 1.89-4.17). Results highlight the importance of primary care clinicians providing best practice preventive care to maximise client behaviour change.

Risk taking behaviors in relation to Attention Deficit and Hyperactivity Disorder in Iranian male workers: a latent class analysis

BACKGROUND

Risk taking behaviors are a serious risk to the health and safety of workers. The aims of this study were to identify the subgroups of workers on the basis of risk taking behaviors and assess the independent role of ADHD on the membership of participants in each latent class.

METHODS

This cross sectional study was performed on 2434 workers. The sample was selected through random cluster sampling from Kaveh Industrial City. All workers completed five sets of checklists and questionnaires. Data analysis was performed using chi-square, Fisher's exact test, and latent class analysis.

RESULTS

Four latent classes were identified; namely, 1) very low risk (65.6%), 2) low risk (27.8%), moderate risk (4.1%) and, high risk (2.5%). After adjusting for other studied covariates, having ADHD significantly increased the odds of membership in moderate risk class (OR=3.42, 95% CI: 2.21 -5.29) and high risk class (OR=3.10, 95% CI: 1.80 -5.34) compared to very low risk class. Also, having anxiety increased the odds of membership in latent class 2 (OR=1.28, 95% CI: 1.02-1.62), 3(OR=2.15, 95% CI: 1.51-3.10) and 4 (OR=2.06, 95% CI: 1.32-3.22) in comparison to class 1. Among all participants, 187 (7.7%) had ADHD and among studied variables, ADHD has the strongest role in the membership of subjects in different classes.

CONCLUSION

Results from the present study indicate that 6.6% of the workers fell under moderate or high risk class. Focusing on the treatment of ADHD with considering other comorbid factors such as anxiety may be helpful in designing and executing effective programs to reduce risk taking behaviors among workers.

Lifestyle interventions in prevention and comprehensive management of COPD

Chronic respiratory diseases are among the four major human chronic diseases. Tobacco smoke as well as environmental pollutants, infections, physical activity and nutritional status play a role in the prevalence, development and/or progression of chronic obstructive pulmonary disease (COPD). Changes in lifestyle are possible and may be beneficial in prevention and comprehensive management of COPD. Population-level interventions aimed at early diagnosis, promotion of vaccinations and prevention of infections, and reductions in smoking, environmental pollutants, physical inactivity, obesity and malnutrition may increase the number of life-years lived in good health.

EDUCATIONAL AIMS

To improve awareness of the influence of lifestyle on natural history of COPD.To describe the effects of some interventions to modify lifestyle in prevention and management.To provide information on the main clinical results.To define recommendations and limitations.

Early life adversity and health-risk behaviors: proposed psychological and neural mechanisms

Early life adversity (ELA) is associated with poorer health in adulthood, an association explained, at least in part, by increased engagement in health-risk behaviors (HRBs). In this review, we make the case that ELA influences brain development in ways that increase the likelihood of engaging in HRBs. We argue that ELA alters neural circuitry underpinning cognitive control as well as emotional processing, including networks involved in processing threat and reward. These neural changes are associated psychologically and behaviorally with heightened emotional reactivity, blunted reward responsivity, poorer emotion regulation, and greater delay discounting. We then demonstrate that these adaptations to ELA are associated with an increased risk of smoking cigarettes, drinking alcohol, and eating high-fat, high-sugar foods. Furthermore, we explore how HRBs affect the brain in ways that reinforce addiction and further explain clustering of HRBs.

Behavioral and mental health risk factor profiles among diverse primary care patients

Behavioral and mental health risk factors are prevalent among primary care patients and contribute substantially to premature morbidity and mortality and increased health care utilization and costs. Although prior studies have found most adults screen positive for multiple risk factors, limited research has attempted to identify factors that most commonly co-occur, which may guide future interventions. The purpose of this study was to identify subgroups of primary care patients with co-occurring risk factors and to examine sociodemographic characteristics associated with these subgroups. We assessed 12 behavioral health risk factors in a sample of adults (n=1628) receiving care from nine primary care practices across six U.S. states in 2013. Using latent class analysis, we identified four distinct patient subgroups: a 'Mental Health Risk' class (prevalence=14%; low physical activity, high stress, depressive symptoms, anxiety, and sleepiness), a 'Substance Use Risk' class (29%; highest tobacco, drug, alcohol use), a 'Dietary Risk' class (29%; high BMI, poor diet), and a 'Lower Risk' class (27%). Compared to the Lower Risk class, patients in the Mental Health Risk class were younger and less likely to be Latino/Hispanic, married, college educated, or employed. Patients in the Substance Use class tended to be younger, male, African American, unmarried, and less educated. African Americans were over 7 times more likely to be in the Dietary Risk versus Lower Risk class (OR 7.7, 95% CI 4.0-14.8). Given the heavy burden of behavioral health issues in primary care, efficiently addressing co-occurring risk factors in this setting is critical.

Health Lifestyle Behaviors among U.S. Adults

Existing research that studies individual health behaviors and conceive of behaviors as simplistically reflecting narrow intentions toward health may obscure the social organization of health behaviors. Instead, we examine how eight health behaviors group together to form distinct health behavior niches. Using nationally-representative data from U.S. adults aged 18 and over from the 2004-2009 National Health Interview Survey (NHIS), we use Latent Class Analysis to identify classes of behavior based on smoking status, alcohol use, physical activity, physician visits, and flu vaccination. We identify 7 distinct health behavior classes including concordant health promoting (44%), concordant health compromising (26%), and discordant classes (30%). We find significant race/ethnic, sex, regional, and age differences in class membership. We show that health behavior classes are associated with prospective mortality, suggesting that they are valid representations of health lifestyles. We discuss the implications of our results for sociological theories of health behaviors, as well as for multiple behavior interventions seeking to improve population health.

Building a Footbridge From Research to Practice in Cardiovascular Risk Reduction

As Rippe, Angelopoulos, and Zukley noted in their State-of-the-Art Review, empirically supported lifestyle modification strategies offer numerous advantages over other modalities for reducing cardiovascular risks. Yet, despite compelling evidence for their implementation, the translation of lifestyle interventions from research to practice has been challenging. Their review prompts discussion of several especially thorny barriers including the persistent tensions between (1) research and practice, (2) main effects and mediators, (3) single and multifactor approaches to risk management, and (4) primary care and communitybased systems of health delivery.

Changes in cardiovascular disease risk and behavioural risk factors before the introduction of a health check programme in England

A population-based programme of health checks was introduced for adults in England in 2011 for the primary prevention of cardiovascular diseases (CVD) and risk factors management. The aim was to evaluate changes in cardiovascular risk and behavioural risk factors in a health check eligible population in England from 1994 to 2013, by using repeated cross-sectional design using seven surveys of the Health Survey for England. Measures included traditional CVD risk factors and behavioural risk factors. Linear trends were estimated allowing for sampling design. The surveys comprised 49,805 adults aged 45 to 74years; 30,639 were free from cardiovascular comorbidity; 16,041 (52%) had complete data for quantitative risk factors. Between 1994 and 2013, systolic blood pressure decreased by 3.1 (95% confidence interval 2.5 to 3.6) mmHg per decade in men and 5.0 (4.5 to 5.5) in women. Total cholesterol decreased by 0.20 (0.16 to 0.24) mmol/l per decade in men; 0.23 (0.19 to 0.26) in women. Smoking declined by 6% (5% to 8%) per decade in men; 7% (6% - 8%) in women. The proportion with CVD-risk ≥20% declined by 6.8% per decade in men; 2.4% in women. Multiple behavioural risk factors were strongly associated with estimated CVD-risk, but improving trends in traditional CVD risk factors were inconsistent with increasing indicators of adiposity. Long-term declines in traditional risk factors contributed to reductions in estimated CVD-risk prior to the introduction of a health check programme. Behaviour change interventions for multiple risk factor exposures remain a key area for future research.

Ready, set, go: a cross-sectional survey to understand priorities and preferences for multiple health behaviour change in a highly disadvantaged group

Background

Socially disadvantaged groups, such as Aboriginal Australians, tend to have a high prevalence of multiple lifestyle risk factors, increasing the risk of disease and underscoring the need for services to address multiple health behaviours. The aims of this study were to explore, among a socially disadvantaged group of people attending an Aboriginal Community Controlled Health Service (ACCHS): a) readiness to change health behaviours; b) acceptability of addressing multiple risk factors sequentially or simultaneously; and c) preferred types of support services.

Methods

People attending an ACCHS in regional New South Wales (NSW) completed a touchscreen survey while waiting for their appointment. The survey assessed participant health risk status, which health risks they would like to change, whether they preferred multiple health changes to be made together or separately, and the types of support they would use.

Results

Of the 211 participants who completed the survey, 94 % reported multiple (two or more) health risks. There was a high willingness to change, with 69 % of current smokers wanting to cut down or quit, 51 % of overweight or obese participants wanting to lose weight and 44 % of those using drugs in the last 12 months wanting to stop or cut down. Of participants who wanted to make more than one health change, over half would be willing to make simultaneous or over-lapping health changes. The most popular types of support were help from a doctor or Health Worker and seeing a specialist, with less than a quarter of participants preferring telephone or electronic (internet or smart phone) forms of assistance. The importance of involving family members was also identified.

Conclusions

Strategies addressing multiple health behaviour changes are likely to be acceptable for people attending an ACCHS, but may need to allow flexibility in the choice of initial target behaviour, timing of changes, and the format of support provided.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-016-1701-2) contains supplementary material, which is available to authorized users.

Health Professionals' Advice to Iowa Adults with Hypertension Using the 2002 Behavioral Risk Factor Surveillance System

PURPOSE

We investigated the prevalence of hypertension-lowering lifestyle-modification advice given to adults living in Iowa. We sought to determine if persons with high blood pressure and those who are overweight receive more advice than do persons with normal blood pressure and a desirable body weight.

METHODS

By using the 2002 Behavioral Risk Factor Surveillance System, we asked Iowa adults with (N=1050) and without (N=2514) high blood pressure five questions relating to the most recent Joint National Committee guidelines on lowering blood pressure. Respondents with high blood pressure were placed into normal weight and overweight categories. Chi-square analysis revealed group differences in amount of advice received. To reflect the true Iowa population, data were weighted by SPSS software.

RESULTS

Compared with persons without high blood pressure, those with high blood pressure received more lifestyle-modification advice (p < .001) for eating less high-fat or high-cholesterol foods (28.3% vs. 12.5%), eating more fruits and vegetables (35.7% vs. 20.0%), exercising more (37.6% vs. 20.8%), losing weight (19.3% vs. 9.3%), and quitting smoking (80.5% vs. 64.6%).

CONCLUSIONS

Although persons with multiple chronic-disease risk factors are given more advice, the prevalence of advice given to individuals when lifestyle changes may reduce risk factors is still very low. Methods of translating research on lifestyle modifications into practice are discussed.

Social Function and Cognitive Status: Results from a US Nationally Representative Survey of Older Adults

BACKGROUND

An early sign of cognitive decline in older adults is often a disruption in social function, but our understanding of this association is limited.

OBJECTIVE

We aimed to determine whether those screening positive for early stages of cognitive impairment have differences across multiple dimensions of social function and whether associations differ by gender.

DESIGN

United States nationally representative cohort (2010), the National Social life, Health, and Aging Project (NSHAP).

PARTICIPANTS

Community-dwelling adults aged 62-90 years (N = 3,310) with a response rate of 76.9 %.

MAIN MEASURES

Cognition was measured using a survey adaptation of the Montreal Cognitive Assessment categorized into three groups: normal, mild cognitive impairment (MCI), and dementia. We measured three domains of social relationships, each comprised of two scales: network structure (size and density), social resources (social support and social strain), and social engagement (community involvement and socializing). We used multiple linear regression to characterize the relationship of each social relationship measure to cognition.

KEY RESULTS

Individuals screened as at risk for MCI and early dementia had smaller network sizes by 0.3 and 0.6 individuals (p < 0.001), and a 10 % and 25 % increase in network density (p < 0.001), respectively. For social resources, individuals at risk for MCI and dementia had 4 % and 14 % less social strain (p = 0.01), but only women had 3 % and 6 % less perceived social support (p = 0.013), respectively. For social engagement, individuals screened positive for MCI and dementia had 8 % and 19 % less community involvement (p = 0.01), but only men had 8 % and 13 % increased social involvement with neighbors and family members (p < 0.001), respectively.

CONCLUSION

Changes in social functioning provide an early indication to screen for cognitive loss. Recognition that early cognitive loss is associated with differences in social function can guide counseling efforts and help identify social vulnerabilities to ease the transition to overt dementia for both patients and caregivers.

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

BACKGROUND

Risk behaviours, such as smoking and physical inactivity account for up to two-thirds of all cardiovascular deaths, and are associated with substantial increased mortality in many conditions including cancer and diabetes. As risk behaviours are thought to co-occur in individuals we conducted a systematic review of studies addressing clustering or co-occurrence of risk behaviours and their predictors. As the main aim of the review was to inform public health policy in England we limited inclusion to studies conducted in the UK.

METHODS

Key databases were searched from 1990 to 2016. We included UK based cross-sectional and longitudinal studies that investigated risk behaviours such as smoking, physical inactivity, unhealthy diet. High heterogeneity precluded meta-analyses.

RESULTS

Thirty-seven studies were included in the review (32 cross-sectional and five longitudinal). Most studies investigated unhealthy diet, physical inactivity, alcohol misuse, and smoking. In general adult populations, there was relatively strong evidence of clustering between alcohol misuse and smoking; and unhealthy diet and smoking. For young adults, there was evidence of clustering between sexual risk behaviour and smoking, sexual risk behaviour and illicit drug use, and sexual risk behaviour and alcohol misuse. The strongest associations with co-occurrence and clustering of multiple risk behaviours were occupation (up to 4-fold increased odds in lower SES groups) and education (up to 5-fold increased odds in those with no qualifications).

CONCLUSIONS

Among general adult populations, alcohol misuse and smoking was the most commonly identified risk behaviour cluster. Among young adults, there was consistent evidence of clustering found between sexual risk behaviour and substance misuse. Socio-economic status was the strongest predictor of engaging in multiple risk behaviours. This suggests the potential for interventions targeting multiple risk behaviours either sequentially or concurrently particularly where there is evidence of clustering. In addition, there is potential for intervening at the social or environmental level due to the strong association with socio-economic status.

Differences between husbands and wives in colonoscopy use: Results from a national sample of married couples

Marriage is linked to improved colorectal cancer-related health, likely in part through preventive health behaviors, but it is unclear what role spouses play in colorectal cancer screening. We therefore determine whether self-reported colonoscopy rates are correlated within married couples and the characteristics of spouses associated with colonoscopy use in each partner. We use US nationally-representative 2010 data which includes 804 male-female married couples drawn from a total sample of 3137 community-dwelling adults aged 55-90years old. Using a logistic regression model in the full sample (N=3137), we first find married men have higher adjusted colonoscopy rates than unmarried men (61% versus 52%, p=0.023), but women's rates do not differ by marital status. In the couples' sample (N=804 couples), we use a bivariate probit regression model to estimate multiple regression equations for the two spouses simultaneously as a function of individual and spousal covariates, as well as the adjusted correlation within couples. We find that individuals are nearly twice as likely to receive a colonoscopy if their spouse recently has had one (OR=1.94, 95% CI: 1.39, 2.67, p<0.001). Additionally, we find that husbands have higher adjusted colonoscopy rates whose wives are: 1) happier with the marital relationship (65% vs 51%, p=0.020); 2) more highly educated (72% vs 51%, p=0.020), and 3) viewed as more supportive (65% vs 52%, p=0.020). Recognizing the role of marital status, relationship quality, and spousal characteristics on colonoscopy uptake, particularly in men, could help physicians increase guideline adherence.

Mechanisms of Change in Diet and Activity in the Make Better Choices 1 Trial

OBJECTIVE

The Make Better Choices 1 trial demonstrated that participants with unhealthy diet and activity behaviors who were randomized to increase fruits/vegetables and decrease sedentary leisure achieved greater diet and activity improvement than those randomized to change other pairs of eating and activity behaviors. Participants randomized to decrease saturated fat and increase physical activity achieved the least diet-activity improvement. This study examined which psychological mechanisms mediated the effects of the study treatments on healthy behavior change.

METHODS

Participants (n = 204) were randomized to 1 of 4 treatments: increase fruits/vegetables and physical activity; decrease saturated fat and sedentary leisure; decrease saturated fat and increase physical activity; increase fruits/vegetables and decrease sedentary leisure. Treatments provided 3 weeks of remote coaching supported by mobile decision support technology and financial incentives. Mediational analyses were performed to examine whether changes in positive and negative affect, and self-efficacy, stages of readiness to change, liking, craving and attentional bias for fruit/vegetable intake, saturated fat intake, physical activity, and sedentary leisure explained the impact of the treatments on diet-activity improvement.

RESULTS

Greater diet-activity improvement in those randomized to increase fruits/vegetables and decrease sedentary leisure was mediated by increased self-efficacy (indirect effect estimate = 0.04; 95% bias corrected CI, 0.003-0.11). All treatments improved craving, stage of change and positive affect.

CONCLUSION

Accomplishing healthy lifestyle changes for 3 weeks improves positive affect, increases cravings for healthy foods and activities, and enhances readiness to make healthy behavior changes. Maximal diet and activity improvement occurs when interventions enhance self-efficacy to make multiple healthy behavior changes. (PsycINFO Database Record

Which modifiable health risk behaviours are related? A systematic review of the clustering of Smoking, Nutrition, Alcohol and Physical activity ('SNAP') health risk factors

OBJECTIVE

There is a growing body of literature examining the clustering of health risk behaviours, but little consensus about which risk factors can be expected to cluster for which sub groups of people. This systematic review aimed to examine the international literature on the clustering of smoking, poor nutrition, excess alcohol and physical inactivity (SNAP) health behaviours among adults, including associated socio-demographic variables.

METHOD

A literature search was conducted in May 2014. Studies examining at least two SNAP risk factors, and using a cluster or factor analysis technique, or comparing observed to expected prevalence of risk factor combinations, were included.

RESULTS

Fifty-six relevant studies were identified. A majority of studies (81%) reported a 'healthy' cluster characterised by the absence of any SNAP risk factors. More than half of the studies reported a clustering of alcohol with smoking, and half reported clustering of all four SNAP risk factors. The methodological quality of included studies was generally weak to moderate. Males and those with greater social disadvantage showed riskier patterns of behaviours; younger age was less clearly associated with riskier behaviours.

CONCLUSION

Clustering patterns reported here reinforce the need for health promotion interventions to target multiple behaviours, and for such efforts to be specifically designed and accessible for males and those who are socially disadvantaged.

Feasibility of automated pre-screening for lifestyle and behavioral health risk factors in primary care

BACKGROUND

Screening of primary care patients for unhealthy behaviors and mental health issues is recommended by numerous governing bodies internationally, yet evidence suggests that provider-initiated screening is not routine practice. The objective of this study was to implement systematic pre-screening of primary care patients for common preventive health issues on a large scale.

METHODS

Patients registered for non-acute visits to one of 40 primary care providers from eight clinics in an Academic Medical Center health care network in the United States from May, 2012 to May, 2014 were contacted one- to three-days prior to their visit. Patients were invited to complete a questionnaire using an Interactive Voice Response (IVR) system. Six items assessed pain, smoking, alcohol use, physical activity, concern about weight, and mood.

RESULTS

The acceptance rate among eligible patients reached by phone was 65.6 %, of which 95.5 % completed the IVR-Screen (N = 8,490; mean age 57; 57 % female). Sample demographics were representative of the overall primary care population from which participants were drawn on gender, race, and insurance status, but participants were slightly older and more likely to be married. Eighty-seven percent of patients screened positive on at least one item, and 59 % endorsed multiple problems. The majority of respondents (64.2 %) reported being never or only somewhat physically active. Weight concern was reported by 43.9 % of respondents, 36.4 % met criteria for unhealthy alcohol use, 23.4 % reported current pain, 19.6 % reported low mood, and 9.4 % reported smoking.

CONCLUSIONS

The percent endorsement for each behavioral health concern was generally consistent with studies of screening using other methods, and contrasts starkly with the reported low rates of screening and intervention for such concerns in typical PC practice. Results support the feasibility of IVR-based, large-scale pre-appointment behavioral health/ lifestyle risk factor screening of primary care patients. Pre-screening in this population facilitated participation in a controlled trial of brief treatment for unhealthy drinking, and also could be valuable clinically because it allows for case identification and management during routine care.

Responding to Young People's Health Risks in Primary Care: A Cluster Randomised Trial of Training Clinicians in Screening and Motivational Interviewing

Objective

To evaluate the effectiveness of a complex intervention implementing best practice guidelines recommending clinicians screen and counsel young people across multiple psychosocial risk factors, on clinicians’ detection of health risks and patients’ risk taking behaviour, compared to a didactic seminar on young people’s health.

Design

Pragmatic cluster randomised trial where volunteer general practices were stratified by postcode advantage or disadvantage score and billing type (private, free national health, community health centre), then randomised into either intervention or comparison arms using a computer generated random sequence. Three months post-intervention, patients were recruited from all practices post-consultation for a Computer Assisted Telephone Interview and followed up three and 12 months later. Researchers recruiting, consenting and interviewing patients and patients themselves were masked to allocation status; clinicians were not.

Setting

General practices in metropolitan and rural Victoria, Australia

Participants

General practices with at least one interested clinician (general practitioner or nurse) and their 14–24 year old patients.

Intervention

This complex intervention was designed using evidence based practice in learning and change in clinician behaviour and general practice systems, and included best practice approaches to motivating change in adolescent risk taking behaviours. The intervention involved training clinicians (nine hours) in health risk screening, use of a screening tool and motivational interviewing; training all practice staff (receptionists and clinicians) in engaging youth; provision of feedback to clinicians of patients’ risk data; and two practice visits to support new screening and referral resources. Comparison clinicians received one didactic educational seminar (three hours) on engaging youth and health risk screening.

Outcome Measures

Primary outcomes were patient report of (1) clinician detection of at least one of six health risk behaviours (tobacco, alcohol and illicit drug use, risks for sexually transmitted infection, STI, unplanned pregnancy, and road risks); and (2) change in one or more of the six health risk behaviours, at three months or at 12 months. Secondary outcomes were likelihood of future visits, trust in the clinician after exit interview, clinician detection of emotional distress and fear and abuse in relationships, and emotional distress at three and 12 months. Patient acceptability of the screening tool was also described for the intervention arm. Analyses were adjusted for practice location and billing type, patients’ sex, age, and recruitment method, and past health risks, where appropriate. An intention to treat analysis approach was used, which included multilevel multiple imputation for missing outcome data.

Results

42 practices were randomly allocated to intervention or comparison arms. Two intervention practices withdrew post allocation, prior to training, leaving 19 intervention (53 clinicians, 377 patients) and 21 comparison (79 clinicians, 524 patients) practices. 69% of patients in both intervention (260) and comparison (360) arms completed the 12 month follow-up. Intervention clinicians discussed more health risks per patient (59.7%) than comparison clinicians (52.7%) and thus were more likely to detect a higher proportion of young people with at least one of the six health risk behaviours (38.4% vs 26.7%, risk difference [RD] 11.6%, Confidence Interval [CI] 2.93% to 20.3%; adjusted odds ratio [OR] 1.7, CI 1.1 to 2.5). Patients reported less illicit drug use (RD -6.0, CI -11 to -1.2; OR 0·52, CI 0·28 to 0·96), and less risk for STI (RD -5.4, CI -11 to 0.2; OR 0·66, CI 0·46 to 0·96) at three months in the intervention relative to the comparison arm, and for unplanned pregnancy at 12 months (RD -4.4; CI -8.7 to -0.1; OR 0·40, CI 0·20 to 0·80). No differences were detected between arms on other health risks. There were no differences on secondary outcomes, apart from a greater detection of abuse (OR 13.8, CI 1.71 to 111). There were no reports of harmful events and intervention arm youth had high acceptance of the screening tool.

Conclusions

A complex intervention, compared to a simple educational seminar for practices, improved detection of health risk behaviours in young people. Impact on health outcomes was inconclusive. Technology enabling more efficient, systematic health-risk screening may allow providers to target counselling toward higher risk individuals. Further trials require more power to confirm health benefits.

Trial Registration

ISRCTN.com ISRCTN16059206.

Association of Behavioral Risk Factors for Chronic Diseases With Physical and Mental Health in European Adults Aged 50 Years or Older, 2004-2005

INTRODUCTION

Noncommunicable diseases are the leading cause of illness and death worldwide; behavioral risk factors (BRFs) contribute to these diseases. We assessed the presence of multiple BRFs among European adults according to their physical and mental health status.

METHODS

We used data from 26,026 adults aged 50 years or older from 11 countries that participated in the Survey of Health, Ageing and Retirement in Europe (2004-2005). BRFs (overweight or obesity, smoking, physical inactivity, and risky alcohol consumption) were assessed according to physical health (ie, presence of chronic diseases, disease symptoms, or limitations in activities of daily living) and mental health (depression) through multiple regression estimations.

RESULTS

Overweight or obesity in men and physical inactivity in women were the most prevalent BRFs. Compared with physically active adults, physically inactive adults had a higher mean number of chronic diseases (1.33 vs 1.26) and chronic disease symptoms (1.55 vs 1.47). Risky alcohol consumption (≥4 servings of an alcohol beverage ≥3 times a week) was associated with a higher mean depression score (2.84 vs 2.47). Compared with adults with 0 or 1 BRF, adults with 2 or more BRFs had significantly higher odds of having 1 or more chronic diseases (men: 1.52; women: 1.73) and functional limitations (men: 1.65; women: 1.79) and higher prevalence of high blood pressure (37.8% vs 28.2). Belgian adults with BRFs had the highest mean number of chronic diseases or functional limitations among those who were overweight or obese and the highest mean number of chronic diseases and disease symptoms among those who smoked and were physically inactive.

CONCLUSION

We found revealed significant positive associations between BRFs and poor health among middle-aged and older European adults. Primary health care intervention programs should focus on developing ways to reduce BRF prevalence in this population.

A cross-sectional survey and latent class analysis of the prevalence and clustering of health risk factors among people attending an Aboriginal Community Controlled Health Service

BACKGROUND

Indigenous Australians are a socially disadvantaged group who experience significantly poorer health and a higher prevalence of modifiable health behaviours than other Australians. Little is known about the clustering of health risks among Indigenous Australians. The aims of this study were to describe the clustering of key health risk factors, such as smoking, physical inactivity and alcohol consumption, and socio-demographics associated with clusters, among a predominantly Aboriginal sample.

METHODS

Participants (n = 377) attending an Aboriginal Community Controlled Health Service (ACCHS) in regional/rural New South Wales, Australia, in 2012-2013 completed a self-report touch screen health risk survey. Clusters were identified using latent class analysis.

RESULTS

Cluster 1 ('low fruit/vegetable intake, lower risk'; 51%) consisted of older men and women; Cluster 2 ('risk taking'; 22%) included younger unemployed males with a high prevalence of smoking, risky alcohol, and illicit drug use. Cluster 3 ('inactive, overweight, depressed'; 28%) was characterised by younger to mid aged women likely to have experienced emotional or physical violence.

CONCLUSIONS

If future research identifies similar stable clusters of health behaviours for this population, intervention approaches targeting these clusters of risk factors should be developed and tested for Aboriginal and Torres Strait Islander Australians.

GP detection of health risk factors among general practice patients at risk of primary and secondary stroke

BACKGROUND

People with a history of stroke or heart disease are at increased risk of future stroke; therefore, identification of risk factors by GPs is critical.

OBJECTIVES

To compare the following among general practice patients with and without a history of stroke or heart disease: (i) self-reported prevalence rates of lifestyle risk factors; (ii) accuracy of GP detection of patient-reported risk factors and (iii) average proportion of patient-reported risk factors detected by GPs.

METHODS

Consecutive patients attending a participating general practice clinic were invited to participate in a cross-sectional touchscreen survey assessing lifestyle risk factors in 2010-11. The GP of each consenting patient completed a corresponding survey assessing the patient's risk factors. Demographic characteristics of patients and GPs were obtained.

RESULTS

Data from 51 GPs and 564 patients were analysed. Patients without a history of stroke or heart disease reported significantly higher rates of smoking (12%) and risky alcohol consumption (56%) than patients with a history of stroke or heart disease (6% and 36%, respectively). Low sensitivity of GP detection of risk factors was found for all risk factors for all patients. Patients with a history of stroke or heart disease have a significantly higher mean proportion of risk factors detected by their GP compared to patients without a history of stroke or heart disease (P = 0.00).

CONCLUSION

Given low sensitivity and specificity of GP detection of risk factors among patients, alternate methods of identification are needed. Research is required to determine strategies to facilitate secondary care of patients with a history of stroke or heart disease by GPs.

Fostering multiple healthy lifestyle behaviors for primary prevention of cancer

The odds of developing cancer are increased by specific lifestyle behaviors (tobacco use, excess energy and alcohol intakes, low fruit and vegetable intake, physical inactivity, risky sexual behaviors, and inadequate sun protection) that are established risk factors for developing cancer. These behaviors are largely absent in childhood, emerge and tend to cluster over the life span, and show an increased prevalence among those disadvantaged by low education, low income, or minority status. Even though these risk behaviors are modifiable, few are diminishing in the population over time. We review the prevalence and population distribution of these behaviors and apply an ecological model to describe effective or promising healthy lifestyle interventions targeted to the individual, the sociocultural context, or environmental and policy influences. We suggest that implementing multiple health behavior change interventions across these levels could substantially reduce the prevalence of cancer and the burden it places on the public and the health care system. We note important still-unresolved questions about which behaviors can be intervened upon simultaneously in order to maximize positive behavioral synergies, minimize negative ones, and effectively engage underserved populations. We conclude that interprofessional collaboration is needed to appropriately determine and convey the value of primary prevention of cancer and other chronic diseases.

Characteristics of interventions targeting multiple lifestyle risk behaviours in adult populations: a systematic scoping review

BACKGROUND

Modifiable lifestyle risk behaviours such as smoking, unhealthy diet, physical inactivity and alcohol misuse are the leading causes of major, non-communicable diseases worldwide. It is increasingly being recognised that interventions which target more than one risk behaviour may be an effective and efficient way of improving people's lifestyles. To date, there has been no attempt to summarise the global evidence base for interventions targeting multiple risk behaviours.

OBJECTIVE

To identify and map the characteristics of studies evaluating multiple risk behaviour change interventions targeted at adult populations in any country.

METHODS

Seven bibliographic databases were searched between January, 1990, and January/ May, 2013. Authors of protocols, conference abstracts, and other relevant articles were contacted. Study characteristics were extracted and inputted into Eppi-Reviewer 4.

RESULTS

In total, 220 studies were included in the scoping review. Most were randomised controlled trials (62%) conducted in the United States (49%), and targeted diet and physical activity (56%) in people from general populations (14%) or subgroups of general populations (45%). Very few studies had been conducted in the Middle East (2%), Africa (0.5%), or South America (0.5%). There was also a scarcity of studies conducted among young adults (1%), or racial and minority ethnic populations (4%) worldwide.

CONCLUSIONS

Research is required to investigate the interrelationships of lifestyle risk behaviours in varying cultural contexts around the world. Cross-cultural development and evaluation of multiple risk behaviour change interventions is also needed, particularly in populations of young adults and racial and minority ethnic populations.

Physical activity in young adults: a signal detection analysis of Health Information National Trends Survey (HINTS) 2007 data

Many young adults are insufficiently active to achieve the health benefits of regular physical activity. Using signal detection analysis of data from the 2007 Health Information National Trends Survey, the authors examined distinct subgroups of 18-39 year-old adults who vary in their likelihood of not meeting physical activity recommendations. We randomly split the sample and conducted signal detection analysis on the exploratory half to identify subgroups and interactions among sociodemographic and health communication variables that predicted engaging in less than 150 minutes per week of moderate-intensity physical activity (low physical activity). We compared rates of low physical activity among subgroups with similarly defined subgroups in the validation sample. Overall, 62% of participants did not meet physical activity recommendations. Among 8 subgroups identified, low physical activity rates ranged from 31% to 90%. Predictors of low physical activity were general health, body mass index (BMI), perceived cancer risk, health-related Internet use, and trust in information sources. The least active subgroup (90% low physical activity) included young adults in poor to good health with a BMI of 30.8 or more (obese). The most active subgroup (31% low physical activity) comprised those in very good to excellent health, who used a website to help with diet, weight, or physical activity, and had little to no trust in health information on television. Findings suggest potential intervention communication channels and can inform targeted physical activity interventions for young adults.

A longitudinal examination of the interrelationship of multiple health behaviors

BACKGROUND

Evaluating the interrelationship of health behaviors could assist in the development of effective public health interventions. Furthermore, the ability to identify cognitive mediators that may influence multiple behavioral changes requires evaluation.

PURPOSE

To evaluate covariation among health behaviors, specifically alcohol consumption, leisure-time physical activity, and smoking, and examine whether mastery acts as a mediating social-cognitive mechanism that facilitates multiple health behavior change in a longitudinal analysis.

METHODS

In 2010, secondary data analysis was conducted on the first seven cycles of the Canadian National Population Health Survey. Data collection began in 1994-1995 and has continued biennially. At the time of this analysis, only seven cycles of data (2006-2007) were available. Parallel process growth curve models were used to analyze covariation between health behaviors and the potential mediating effects of perceived mastery.

RESULTS

Increases in leisure-time physical activity were associated with reductions in tobacco use, whereas declines in alcohol consumption were associated with decreases in tobacco use. Covariation between alcohol consumption and leisure-time physical activity did not reach statistical significance. For the most part, mastery was unsuccessful in mediating the interrelationship of multiple behavioral changes.

CONCLUSIONS

Health behaviors are not independent but rather interrelated. In order to optimize limited prevention resources, these results suggest that population-level intervention efforts targeting multiple modifiable behavioral risk factors may not need to occur simultaneously.

A randomized comparative effectiveness study of Healthy Directions 2--a multiple risk behavior intervention for primary care

OBJECTIVE

To evaluate the effectiveness of the Healthy Directions 2 (HD2) intervention in the primary care setting.

METHODS

HD2 was a cluster randomized trial (conducted 3/09-11/11). The primary sampling unit was provider (n=33), with secondary sampling of patients within provider (n=2440). Study arms included: 1) usual care (UC); 2) HD2--a patient self-guided intervention targeting 5 risk behaviors; and 3) HD2 plus 2 brief telephone coaching calls (HD2+CC). The outcome measure was the proportion of participants with a lower multiple risk behavior (MRB) score by follow-up.

RESULTS

At baseline, only 4% of the participants met all behavioral recommendations. Both HD2 and HD2+CC led to improvements in MRB score, relative to UC, with no differences between the two HD2 conditions. Twenty-eight percent of the UC participants had improved MRB scores at 6 months, vs. 39% and 43% in HD2 and HD2+CC, respectively (ps≤.001); results were similar at 18 months (p≤.05). The incremental cost of one risk factor reduction in MRB score was $310 for HD2 and $450 for HD2+CC.

CONCLUSIONS

Self-guided and coached intervention conditions had equivalent levels of effect in reducing multiple chronic disease risk factors, were relatively low cost, and thus are potentially useful for routine implementation in similar health settings.

Body mass index and depressive symptoms in primary care settings: examining the moderating roles of smoking status, alcohol consumption and vigorous exercise

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

Depressive symptoms and obesity are highly prevalent in primary care settings. Depressive symptoms and obesity are positively related; as body weight increases, individuals are more likely to display depressive symptoms.

WHAT THIS STUDY ADDS

This study examines the moderating roles of health behaviours (alcohol use, smoking status and vigorous exercise) on the relationship between body mass index and depressive symptoms. Exercise attenuates the relationship between depressive symptoms and obesity. Primary care patients often report multiple health risk behaviours and symptoms, including obesity and depressive symptomatology. This study examined the relationship between body mass index (BMI) and depressive symptomatology among primary care patients and tested its moderation by health behaviours. Primary care patients (n = 497) completed self-report questionnaires. Using three multilevel models, we tested the moderation of health behaviours on the BMI-depressive symptoms relationship. After controlling for relevant covariates, BMI was positively related to depressive symptoms. Smokers reported more depressive symptoms (P < 0.01), whereas vigorous exercisers reported fewer (P < 0.001). Alcohol consumption was not related to depressive symptoms (P > 0.05). Only vigorous exercise significantly moderated the BMI-depression relationship (P < 0.05). BMI is positively related to depressive symptoms among patients who do not participate in vigorous activity, suggesting that vigorous activity reduces the risk for depressive symptoms among patients with higher BMI.

Health-related outcomes associated with patterns of risk factors in primary care patients

It is important to find ways to identify prevalent co-occurring health risk factors to help facilitate treatment programming. One method is to use electronic medical record (EMR) data. Funderburk et al. (J Behav Med 31:525-535, 2008) used such data and latent class analysis to identify three classes of individuals based on standard health screens administered in Veterans Affairs primary care clinics. The present study extended these results by examining the health-related outcomes for each of these identified classes. Follow-up data were collected from a subgroup of the original sample (N = 4,132). Analyses showed that class assignment predicted number of diagnoses associated with the diseases that the health screens target and number of primary care behavioral health, and emergency room encounters. The findings illustrate one way an EMR can be used to identify clusters of individuals presenting with multiple health risk factors and where the healthcare system comes in contact with them.

Prevalence of multiple behavioral risk factors for chronic diseases in adults aged 50+, from eleven European countries - the SHARE study (2004)

OBJECTIVE

To estimate the prevalence and the associations between multiple behavioral risk factors (MBRFs) for chronic diseases in European adults.

METHOD

Data from 26,743 individuals, aged 50+years, participating in the Survey of Health, Ageing and Retirement in Europe (SHARE) (2004/05) were used. MBRFs included physical inactivity, high body weight, smoking habits and risky alcohol consumption. Estimations were based on weights according to the complex sampling design.

RESULTS

In total, 71.2% of individuals were physically inactive, while 59.8% had high body weight. 53.4% had 2+ MBRFs, while males presented higher prevalence of MBRF clusters than females (P < 0.001). Females displayed lower odds of increased alcohol consumption (OR = 0.16, P < 0.001) and higher odds of physical inactivity (OR = 1.47, P < 0.001) than males. Individuals who lived alone, compared to living with a partner and those with more, compared to fewer education years, exhibited a significantly higher and lower, respectively, mean MBRF score (P < 0.001).

CONCLUSION

The prevalence of MBRFs was considerably high in this sample of European adults, while not living alone and having higher education may prove protective. These findings could be used for the design of primary healthcare programs by health professionals.