Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study

Efficiency of "Prescribe Vida Saludable", a health promotion innovation. Pilot phase

OBJECTIVE

"Prescribe Vida Saludable" (PVS) is an organisational innovation designed to optimise the promotion of multiple healthy habits in primary healthcare. It aims to estimate the cost effectiveness and cost-utility of prescribing physical activity in the pilot phase of the PVS programme, compared to the routine clinical practice of promoting physical activity in primary healthcare.

METHODS

An economic evaluation of the quasi-experimental pilot phase of PVS was carried out. In the four control centres, a systematic sample was selected of 194 patients who visited the centre in a single year and who did not comply with physical activity recommendations. In the four intervention centres, 122 patients who received their first physical activity prescription were consecutively enrolled. The costs were evaluated from the perspective of the PVS programme using bottom-up methodology. The effectiveness (proportion of patients who changed their physical activity) as well as the utility were evaluated at baseline and after 3 months. The incremental cost-utility ratio (ICUR) and the incremental cost-effectiveness ratio (ICER) were calculated and a sensitivity analysis was performed with bootstrapping and 1,000 replications.

RESULTS

Information was obtained from 35% of control cases and 62% of intervention cases. The ICUR was €1,234.66/Quality Adjusted Life Years (QALY) and the ICER was €4.12. In 98.3% of the simulations, the ICUR was below the €30,000/QALY threshold.

CONCLUSIONS

The prescription of physical activity was demonstrably within acceptable cost-utility limits in the pilot PVS phase, even from a conservative perspective.

Health Behaviors and their Relationship with Disease Control in People Attending Genetic Clinics with a Family History of Breast or Colorectal Cancer

The current work aimed to assess health behaviors, perceived risk and control over breast/colorectal cancer risk and views on lifestyle advice amongst attendees at cancer family history clinics. Participants attending the East of Scotland Genetics Service were invited to complete a questionnaire (demographic data, weight and height, health behaviors and psycho-social measures of risk and perceived control) and to participate in an in-depth interview. The questionnaire was completed by 237 (49 %) of attendees, ranging from 18 to 77 years (mean age 46 (±10) years). Reported smoking rates (11 %) were modest, most (54 %) had a BMI > 25 kg/m2, 55 % had low levels of physical activity, 58 % reported inappropriate alcohol intakes and 90 % had fiber intakes indicative of a low plant diet. Regression analysis indicated that belief in health professional control was associated with higher, and belief in fatalism with poorer health behavior. Qualitative findings highlighted doubts about the link between lifestyle and cancer, and few were familiar with the current evidence. Whilst lifestyle advice was considered interesting in general there was little appetite for non-tailored guidance. In conclusion, current health behaviors are incongruent with cancer risk reduction guidance amongst patients who have actively sought advice on disease risk. There are some indications that lifestyle advice would be welcomed but endorsement requires a sensitive and flexible approach, and the acceptability of lifestyle interventions remains to be explored.

Cardiovascular Disease Risk Profile and Readiness to Change in Blue- and White-Collar Workers

This study provides a health and risk profile of blue- (BCWs) and white-collar workers (WCWs). Health screening data (n = 603; age 38.2 ± 9.7 years) included cholesterol and glucose finger-prick test, blood pressure, body mass index, and self-reported stress levels and readiness to change. Blue-collar workers were significantly older and had higher blood pressure readings and were more likely to develop hypertension (odds ratio [OR]: 1.72; 95% confidence interval [CI]: 1.05-2.81; P = .03), but less likely to present with hypercholesterolemia (OR: 0.50; 95% CI: 0.31-0.81; P = .01) and overweight/obesity (OR: 0.65; 95% CI: 0.42-0.99; P = .047). White-collar workers showed significantly higher cholesterol and stress levels. This study highlights the importance of occupation type in workplace health screening and intervention planning.

Effects of combined healthy lifestyle factors on functional vascular aging: the Rotterdam Study

OBJECTIVE

To evaluate whether components of a healthy lifestyle, combined and individually, are associated with arterial stiffness as a marker of functional vascular aging.

METHODS

We included 3235 participants aged 61-96 years from the Rotterdam Study. Measures of arterial stiffness included: aortic pulse wave velocity and carotid distensibility coefficient. Participants were scored one point for each of healthy lifestyle factors: consumption of five or more of fruits and/or vegetables per day, 75 min or more vigorous physical activity per week, 18.5 ≤ BMI ≤ 24. 9, never smoked and light-to-moderate alcohol intake (maximum seven glasses for women and 14 glasses for men) per week. Also a combined score (0-5) was computed by adding the five factors. Linear regression analysis was used to evaluate the association of healthy lifestyle and measures of arterial stiffness adjusting for confounders.

RESULTS

Participants had -0.113 [95% confidence interval (CI): -0.196, -0.029] difference in mean aortic pulse wave velocity m/s per unit increment of the lifestyle factors score, independent of cardiovascular risk factors. Higher fruit and vegetable consumption -0.221 (95% CI: -0.409, -0.034) and physical activity -0.239 (95% CI: -0.433, -0.044) were also significantly associated with reduced aortic pulse wave velocity. The corresponding estimates in carotid distensibility coefficient lacked statistical significance when we adjusted for cardiovascular risk factors.

CONCLUSION

Combining multiple healthy lifestyle factors is associated with reduced aortic stiffness, a measure of functional vascular aging and independent of cardiovascular risk factors.

The relationships among physical activity, sedentary behaviour, obesity and quitting behaviours within a cohort of smokers in California

BACKGROUND

Smoking, insufficient physical activity (PA), sedentary behaviour (SB) and obesity are leading risk factors for morbidity and premature mortality. Few studies examining the relationship between these behavioural risk factors and quitting behaviours among cohorts of smokers have been published.

PURPOSE

The goals of this study are to examine the cross-sectional relationships among behavioural health risk factors (insufficient PA, SB and obesity) and past year quitting behaviours within a sample of smokers.

METHODS

The California Smokers Cohort, conducted from 2011 through 2013, is a population-based survey of adult smokers in California. Using follow-up data (n = 1050), participants' self-reported health behaviours and past year quitting behaviours were examined in univariate analyses and multivariate logistic regression analyses controlling for demographic covariates.

RESULTS

In univariate analyses examining health behaviours among smokers, all three health behaviours examined (PA, SB and obesity) were related, and significantly more obese smokers with high PA and low SB reported a ≥20% smoking rate reduction than smokers with other combinations of health behaviours (48.8%, Chi-squared = 4.765, P = 0.045). In multivariate models adjusted for sociodemographic characteristics, obese smokers (odds ratio [OR] = 1.450, 95% confidence interval [CI]: 1.088-1.932, P = 0.011) and smokers with higher levels of PA (OR = 1.448, 95% CI: 1.111-1.887, P = 0.006) were more likely to report a past year ≥24-hour quit attempt regardless of SB, and obese smokers (OR = 1.760, 95% CI: 1.095-2.828, P = 0.019) were more likely to report being quit for ≥30 days regardless of PA and SB.

CONCLUSIONS

Overall, the results demonstrated that more physically active and obese smokers were more likely to report positive strides towards quitting. These findings support the potential positive effect of addressing multiple health behaviours along with smoking.

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.

Just how high-risk are ongoing smokers? Exploring clusters of health risk behaviours among current and ex-smokers

There is limited research about the patterns of multiple health risks among smokers, despite the associated increased risk of poor health. This study aimed to identify which risk behaviours were evident in a sample of smokers and ex-smokers who had previously been offered cessation support. A cross-sectional telephone interview in 2013 involved participants from New South Wales, Australia, from the control condition (self-help materials only) of a randomised smoking cessation trial conducted approximately five years earlier. The interview assessed smoking, weight, height, fruit and vegetable intake, physical activity, alcohol intake and depression. Of the 626 eligible participants, 321 were interviewed (consent rate=85.6%, response rate=51.3%); 62% were current smokers. Most participants (57%) reported four or five health risk behaviours. Three risk clusters were identified using latent class analysis: i) 'high risk' (42% of sample): smokers, overweight, inadequate intake of fruit and vegetables and low levels of physical activity; ii) 'lower risk non-depressed' (22% of sample): adequate physical activity and an absence of depression; and iii) 'lower risk, low alcohol' (36% of sample): low alcohol consumption, overweight and depressed. Males and current smokers were more likely to be 'high risk', while women and ex-smokers were more likely to be members of the 'lower risk, low alcohol' cluster. Those who continue to smoke have multiple additional health risks; as do ex-smokers in the 'lower risk, low alcohol' cluster. Achieving good health outcomes for these sizeable groups will require tailored, intensive or case-management approaches which can address multiple health risk behaviours.

The Combined Effects of Healthy Lifestyle Behaviors on All-Cause Mortality: The Golestan Cohort Study

BACKGROUND

Most studies that have evaluated the association between combined lifestyle factors and mortality outcomes have been conducted in populations of developed countries.

OBJECTIVES

The aim of this study was to examine the association between combined lifestyle scores and risk of all-cause and cause-specific mortality for the first time among Iranian adults.

METHODS

The study population included 50,045 Iranians, 40 - 75 years of age, who were enrolled in the Golestan Cohort Study, between 2004 and 2008. The lifestyle risk factors used in this study included cigarette smoking, physical inactivity, and Alternative Healthy Eating Index. The lifestyle score ranged from zero (non-healthy) to 3 (most healthy) points. From the study baseline up to analysis, a total of 4691 mortality cases were recorded. Participants with chronic diseases at baseline, outlier reports of calorie intake, missing data, and body mass index of less than 18.5 were excluded from the analyses. Cox regression models were fitted to establish the association between combined lifestyle scores and mortality outcomes.

RESULTS

After implementing the exclusion criteria, data from 40,708 participants were included in analyses. During 8.08 years of follow-up, 3,039 cases of all-cause mortality were recorded. The adjusted hazard ratio of a healthy lifestyle score, compared with non-healthy lifestyle score, was 0.68 (95% CI: 0.54, 0.86) for all-cause mortality, 0.53 (95% CI: 0.37, 0.77) for cardiovascular mortality, and 0.82 (95% CI: 0.53, 1.26) for mortality due to cancer. When we excluded the first two years of follow up from the analysis, the protective association between healthy lifestyle score and cardiovascular death did not change much 0.55 (95% CI: 0.36, 0.84), but the inverse association with all-cause mortality became weaker 0.72 (95% CI: 0.55, 0.94), and the association with cancer mortality was non-significant 0.92 (95% CI: 0.58, 1.48). In the gender-stratified analysis, we found an inverse strong association between adherence to healthy lifestyle and mortality from all causes and cardiovascular disease in either gender, but no significant relationship was seen with mortality from cancer in men or women. Stratified analysis of BMI status revealed an inverse significant association between adherence to healthy lifestyle and mortality from all causes, cardiovascular disease and cancer among non-obese participants.

CONCLUSION

We found evidence indicating that adherence to a healthy lifestyle, compared to non-healthy lifestyle, was associated with decreased risk of all-cause mortality and mortality from cardiovascular diseases in Iranian adults.

Feasibility study and pilot cluster-randomised controlled trial of the GoActive intervention aiming to promote physical activity among adolescents: outcomes and lessons learnt

OBJECTIVES

Assess the feasibility of implementing the GoActive intervention in secondary schools, to identify improvements, test study procedures, determine preliminary effectiveness to increase moderate-to-vigorous physical activity (MVPA), and inform power calculations to establish programme effectiveness.

SETTING

Feasibility study (1 school) and pilot cluster-randomised controlled trial (CRCT; 2 intervention; 1 control school(s)).

PARTICIPANTS

460 participants (46.6% female; 13.2 (0.4) years old).

INTERVENTIONS

8-week intervention (2013) involved: classes choosing weekly activities encouraged by mentors (older adolescents) and in-class peer leaders. Students gain points for trying activities which are entered into an intramural competition.

PRIMARY AND SECONDARY OUTCOME MEASURES

Planned quantitative (questionnaire) and qualitative (focus groups) process evaluation addressed enjoyment, confidence, participation, suggested improvements. Outcomes were assessed at baseline and follow-up (week 8) in pilot CRCT and included accelerometer-assessed MVPA; adolescent-reported activity type, well-being, peer support, shyness, sociability. Analysis of covariance was used to assess preliminary effectiveness as change in MVPA adjusted for baseline.

RESULTS

All year 9 students in intervention schools were exposed to the intervention; over all schools 77% of eligible students were measured. 71% boys and 74% girls found GoActive 'fun'; 38% boys and 32% girls said it increased confidence, and 64% boys and 59% girls said they would continue with a GoActive activity. Suggested improvements included more mentorship; improved training; streamlined points recording. Pilot results indicated potential effectiveness ((adjusted mean difference (95% CI) p value; MVPA mins; 5.1 (1.1 to 9.2) p=0.014)) and suggest recruitment of 16 schools (2400 adolescents) for a full trial. Compared with control, intervention students reported greater peer support 0.5 (0.1 to 0.9) p=0.03, well-being 1.8 (0.1 to 3.4) p=0.04 but no difference in shyness/sociability. Participation in activity types approached significance (intervention group 2.3 (-0.2 to 4.7) p=0.07 more activity types).

CONCLUSIONS

Results suggest feasibility and indicate potential effectiveness of GoActive to increase MVPA and support a fully powered evaluation of effectiveness and cost-effectiveness. Process evaluation data were used to refine GoActive prior to a full trial.

TRIAL REGISTRATION NUMBER

ISRCTN31583496; pre-results.

Nutrition for the Prevention of Chronic Diseases

Chronic non-communicable diseases (NCDs) are the leading causes of morbidity and mortality in the United States and globally, and are attributable largely to poor nutrition and suboptimal lifestyle behaviors. The 2015-2020 Dietary Guidelines for Americans promote healthy eating and lifestyle patterns across the lifespan to reduce risk of NCDs. Physicians are well positioned to provide lifestyle preventive interventions that are personalized to their patients' biological needs and cultural preferences through multidisciplinary team activities or referral to professional nutrition and physical activity experts. They can also advocate for environmental changes in healthcare and community settings that promote healthful lifestyle behaviors.

Self concepts, health locus of control and cognitive functioning associated with health-promoting lifestyles in schizophrenia

PURPOSE

The study aimed to investigate the relationship among self concepts, health locus of control, cognitive functioning and health-promoting lifestyles in patients diagnosed with schizophrenia. We examined health-promoting lifestyles through self-efficacy, self-esteem, health locus of control and neurocognitive factors.

METHOD

Fifty-six people with schizophrenia were enrolled in the study group. All subjects participated in the self-esteem (Rosenberg Self-Esteem Scale), self-efficacy (General Self-Efficacy Scale), health locus of control (The Multidimensional Health Locus of Control Scales), health-promoting lifestyles (Health Promotion Life-style Profile-II) and a series of neurocognitive measures.

FINDINGS

Stepwise regression analysis revealed that self-efficacy, internal health locus of control and attentional set-shifting accounted for 42% of the variance in total health-promoting lifestyles scores. Self-efficacy, self-esteem, internal and powerful others health locus of control and attentional set-shifting were significant predictors for domains of health-promoting lifestyles, respectively.

CONCLUSION

Study findings can help mental health professionals maintain and improve health-promoting behaviors through a better understanding of self-esteem, self-efficacy, health locus of control and neurocognitive functioning among people with schizophrenia.

Combined Impact of Health Behaviors on Mortality in Low-Income Americans

INTRODUCTION

African Americans and low-income whites have higher mortality than the U.S. general population. This study prospectively investigated the combined influence of major lifestyle factors and poverty on mortality in this vulnerable population.

METHODS

Data were collected in 2002-2009 from 79,101 Southern Community Cohort Study participants, of which 67% were African American and 55% had household incomes <$15,000. Mortality outcomes were identified from the National Death Index though December 31, 2011 (data analyzed in 2014-2015). Healthy behavior scores were created based on tobacco smoking, alcohol intake, diet, physical activity, and sedentary time. The primary analysis was performed based on the score created by counting each participant as having met/not met public health guidelines for each behavior.

RESULTS

Healthy behavior scores were associated with reduced cancer, cardiovascular disease, and all-cause mortality. Associations were stronger for whites than African Americans: hazard ratios for all-cause mortality comparing participants meeting four or five guidelines versus participants meeting zero were 0.41 (95% CI=0.30, 0.55) for African American men; 0.36 (95% CI=0.24, 0.55) for white men; 0.46 (95% CI=0.36, 0.59) for African American women; and 0.27 (95% CI=0.18, 0.43) for white women. The association between healthy lifestyle and all-cause mortality was weaker among those with incomes <$15,000 than those with higher income, particularly in men (p<0.05 for interaction).

CONCLUSIONS

This study demonstrates the importance of health behaviors on mortality among all groups, but highlights the need for additional research to identify factors contributing to high risk of mortality among low-income and African American populations.

Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study

OBJECTIVE

To characterise clusters of individuals based on adherence to dietary recommendations and to determine whether changes in Healthy Eating Index (HEI) scores in response to a personalised nutrition (PN) intervention varied between clusters.

DESIGN

Food4Me study participants were clustered according to whether their baseline dietary intakes met European dietary recommendations. Changes in HEI scores between baseline and month 6 were compared between clusters and stratified by whether individuals received generalised or PN advice.

SETTING

Pan-European, Internet-based, 6-month randomised controlled trial.

SUBJECTS

Adults aged 18-79 years (n 1480).

RESULTS

Individuals in cluster 1 (C1) met all recommended intakes except for red meat, those in cluster 2 (C2) met two recommendations, and those in cluster 3 (C3) and cluster 4 (C4) met one recommendation each. C1 had higher intakes of white fish, beans and lentils and low-fat dairy products and lower percentage energy intake from SFA (P<0·05). C2 consumed less chips and pizza and fried foods than C3 and C4 (P<0·05). C1 were lighter, had lower BMI and waist circumference than C3 and were more physically active than C4 (P<0·05). More individuals in C4 were smokers and wanted to lose weight than in C1 (P<0·05). Individuals who received PN advice in C4 reported greater improvements in HEI compared with C3 and C1 (P<0·05).

CONCLUSIONS

The cluster where the fewest recommendations were met (C4) reported greater improvements in HEI following a 6-month trial of PN whereas there was no difference between clusters for those randomised to the Control, non-personalised dietary intervention.

Smoking, physical inactivity and obesity as predictors of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study

Background: Smoking, physical inactivity and obesity are modifiable risk factors for morbidity and mortality. The aim of this study was to examine the extent to which the co-occurrence of these behaviour-related risk factors predict healthy life expectancy and chronic disease-free life expectancy in four European cohort studies.

Methods: Data were drawn from repeated waves of four cohort studies in England, Finland, France and Sweden. Smoking status, physical inactivity and obesity (body mass index ≥30 kg/m²) were examined separately and in combination. Health expectancy was estimated by using two health indicators: suboptimal self-rated health and having a chronic disease (cardiovascular disease, cancer, respiratory disease and diabetes). Multistate life table models were used to estimate sex-specific healthy life expectancy and chronic disease-free life expectancy from ages 50 to 75 years.

Results: Compared with men and women with at least two behaviour-related risk factors, those with no behaviour-related risk factors could expect to live on average8 years longer in good health and 6 years longer free of chronic diseases between ages 50 and 75. Having any single risk factor was also associated with reduction in healthy years. No consistent differences between cohorts were observed.

Conclusions: Data from four European countries show that persons with individual and co-occurring behaviour-related risk factors have shorter healthy life expectancy and shorter chronic disease-free life expectancy. Population level reductions in smoking, physical inactivity and obesity could increase life-years lived in good health.

Pilot Randomised Controlled Trial of a Web-Based Intervention to Promote Healthy Eating, Physical Activity and Meaningful Social Connections Compared with Usual Care Control in People of Retirement Age Recruited from Workplaces

BACKGROUND

Lifestyle interventions delivered during the retirement transition might promote healthier ageing. We report a pilot randomised controlled trial (RCT) of a web-based platform (Living, Eating, Activity and Planning through retirement; LEAP) promoting healthy eating (based on a Mediterranean diet (MD)), physical activity (PA) and meaningful social roles.

METHODS

A single blinded, two-arm RCT with individual allocation. Seventy-five adult regular internet users living in Northeast England, within two years of retirement, were recruited via employers and randomised in a 2:1 ratio to receive LEAP or a 'usual care' control. Intervention arm participants were provided with a pedometer to encourage self-monitoring of PA goals. Feasibility of the trial design and procedures was established by estimating recruitment and retention rates, and of LEAP from usage data. At baseline and 8-week follow-up, adherence to a MD derived from three 24-hour dietary recalls and seven-day PA by accelerometry were assessed. Healthy ageing outcomes (including measures of physiological function, physical capability, cognition, psychological and social wellbeing) were assessed and acceptability established by compliance with measurement protocols and completion rates. Thematically analysed, semi-structured, qualitative interviews assessed acceptability of the intervention, trial design, procedures and outcome measures.

RESULTS

Seventy participants completed the trial; 48 (96%) participants in the intervention and 22 (88%) in the control arm. Participants had considerable scope for improvement in diet as assessed by MD score. LEAP was visited a median of 11 times (range 1-80) for a mean total time of 2.5 hours (range 5.5 min- 8.3 hours). 'Moving more', 'eating well' and 'being social' were the most visited modules. At interview, participants reported that diet and PA modules were important and acceptable within the context of healthy ageing. Participants found both trial procedures and outcome assessments acceptable.

CONCLUSIONS

The trial procedures and the LEAP intervention proved feasible and acceptable. Effectiveness and cost-effectiveness of LEAP to promote healthy lifestyles warrant evaluation in a definitive RCT.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02136381.

Too much sitting and all-cause mortality: is there a causal link?

Background

Sedentary behaviours (time spent sitting, with low energy expenditure) are associated with deleterious health outcomes, including all-cause mortality. Whether this association can be considered causal has yet to be established.

Using systematic reviews and primary studies from those reviews, we drew upon Bradford Hill’s criteria to consider the likelihood that sedentary behaviour in epidemiological studies is likely to be causally related to all-cause (premature) mortality.

Methods

Searches for systematic reviews on sedentary behaviours and all-cause mortality yielded 386 records which, when judged against eligibility criteria, left eight reviews (addressing 17 primary studies) for analysis. Exposure measures included self-reported total sitting time, TV viewing time, and screen time. Studies included comparisons of a low-sedentary reference group with several higher sedentary categories, or compared the highest versus lowest sedentary behaviour groups. We employed four Bradford Hill criteria: strength of association, consistency, temporality, and dose–response. Evidence supporting causality at the level of each systematic review and primary study was judged using a traffic light system depicting green for causal evidence, amber for mixed or inconclusive evidence, and red for no evidence for causality (either evidence of no effect or no evidence reported).

Results

The eight systematic reviews showed evidence for consistency (7 green) and temporality (6 green), and some evidence for strength of association (4 green). There was no evidence for a dose–response relationship (5 red). Five reviews were rated green overall. Twelve (67 %) of the primary studies were rated green, with evidence for strength and temporality.

Conclusions

There is reasonable evidence for a likely causal relationship between sedentary behaviour and all-cause mortality based on the epidemiological criteria of strength of association, consistency of effect, and temporality.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3307-3) contains supplementary material, which is available to authorized users.

Are recent attempts to quit smoking associated with reduced drinking in England? A cross-sectional population survey

BACKGROUND

Alcohol consumption during attempts at smoking cessation can provoke relapse and so smokers are often advised to restrict their alcohol consumption during this time. This study assessed at a population-level whether smokers having recently initiated an attempt to stop smoking are more likely than other smokers to report i) lower alcohol consumption and ii) trying to reduce their alcohol consumption.

METHOD

Cross-sectional household surveys of 6287 last-year smokers who also completed the Alcohol Use Disorders Identification Test consumption questionnaire (AUDIT-C). Respondents who reported attempting to quit smoking in the last week were compared with those who did not. Those with AUDIT-C≥5 were also asked if they were currently trying to reduce the amount of alcohol they consume.

RESULTS

After adjustment for socio-demographic characteristics and current smoking status, smokers who reported a quit attempt within the last week had lower AUDIT-C scores compared with those who did not report an attempt in the last week (βadj = -0.56, 95 % CI = -1.08 to -0.04) and were less likely to be classified as higher risk (AUDIT-C≥5: ORadj = 0.57, 95 % CI = 0.38 to 0.85). The lower AUDIT-C scores appeared to be a result of lower scores on the frequency of 'binge' drinking item (βadj = -0.25, 95 % CI = -0.43 to -0.07), with those who reported a quit attempt within the last week compared with those who did not being less likely to binge drink at least weekly (ORadj = 0.54, 95 % CI = 0.29 to 0.999) and more likely to not binge drink at all (ORadj = 1.70, 95 % CI = 1.16 to 2.49). Among smokers with higher risk consumption (AUDIT-C≥5), those who reported an attempt to stop smoking within the last week compared with those who did not were more likely to report trying to reduce their alcohol consumption (ORadj = 2.98, 95 % CI = 1.48 to 6.01).

CONCLUSION

Smokers who report starting a quit attempt in the last week also report lower alcohol consumption, including less frequent binge drinking, and appear more likely to report currently attempting to reduce their alcohol consumption compared with smokers who do not report a quit attempt in the last week.

Changing health behavior motivation from I-must to I-want

In the past, medicine was dominated by acute diseases. Since treatments were unknown to patients they followed their medical doctors´ directives-at least for the duration of the disease. Behavior was thus largely motivated by avoiding expected costs associated with alternative behaviors (I-must). The health challenges prevailing today are chronic conditions resulting from the way we chose to live. Traditional directive communication has not been successful in eliciting and maintaining appropriate lifestyle changes. An approach successful in other fields is to motivate behavior by increasing expected rewards (I-want). Drawing on neuroeconomic and marketing research, we outline strategies including simplification, repeated exposure, default framing, social comparisons, and consumer friendliness to foster sustained changes in preference. We further show how these measures could be integrated into the health care system.

New Summary Measures of Population Health and Well-Being for Implementation by Health Plans and Accountable Care Organizations

Health plans and accountable care organizations measure many indicators of patient health, with standard metrics that track factors such as patient experience and cost. They lack, however, a summary measure of the third leg of the Triple Aim, population health. In response, HealthPartners has developed summary measures that align with the recommendations of the For the Public's Health series of reports from the Institute of Medicine. (The series comprises the following 3 reports: For the Public's Health: Investing in a Healthier Future, For the Public's Health: Revitalizing Law and Policy to Meet New Challenges, and For the Public's Health: The Role of Measurement in Action and Accountability.) The summary measures comprise 3 components: current health, sustainability of health, and well-being. The measure of current health is disability-adjusted life years (DALYs) calculated from health care claims and death records. The sustainability of health measure comprises member reporting of 6 behaviors associated with health plus a clinical preventive services index that indicates adherence to evidence-based preventive care guidelines. Life satisfaction represents the summary measure of subjective well-being. HealthPartners will use the summary measures to identify and address conditions and factors that have the greatest impact on the health and well-being of its patients, members, and community. The method could easily be implemented by other institutions and organizations in the United States, helping to address a persistent need in population health measurement for improvement.

Diet and Inflammation: Possible Effects on Immunity, Chronic Diseases, and Life Span

Chronic inflammation negatively impacts all physiological functions, causing an array of degenerative conditions including diabetes; cancer; cardiovascular, osteo-articular, and neurodegenerative diseases; autoimmunity disorders; and aging. In particular, there is a growing knowledge of the role that gene transcription factors play in the inflammatory process. Obesity, metabolic syndrome, and diabetes represent multifactorial conditions resulting from improper balances of hormones and gene expression. In addition, these conditions have a strong inflammatory component that can potentially be impacted by the diet. It can reduce pro-inflammatory eicosanoids that can alter hormonal signaling cascades to the modulation of the innate immune system and gene transcription factors. Working knowledge of the impact of how nutrients, especially dietary fatty acids and polyphenols, can impact these various molecular targets makes it possible to develop a general outline of an anti-inflammatory diet that offers a unique, nonpharmacological approach in treating obesity, metabolic syndrome, and diabetes. Several important bioactive dietary components can exert their effect through selected inflammatory pathways that can affect metabolic and genetic changes. In fact, dietary components that can modulate glucose and insulin levels, as well as any other mediator that can activate nuclear factor-kB, can also trigger inflammation through common pathway master switches.

Do Total Knee Arthroplasty Patients Have a Higher Activity Level Compared to Patients With Osteoarthritis?

Background:

Despite the alleviation of osteoarthritis (OA) symptoms that total knee arthroplasty (TKA) provides for patients with end-stage knee OA, recent studies have suggested that TKA may not increase physical activity levels. In this study, we compare the physical activity levels of patients with OA treated nonoperatively (non-TKA) with both patients who had received TKA (post-TKA) and patients who received TKA within 3 years of data collection (pre-TKA).

Methods:

Utilizing the Osteoarthritis Initiative database, accelerometry data were collected from non-TKA, pre-TKA, and post-TKA patients. Accelerometry data were subdivided by physical activity intensity levels, yielding daily minutes of each level of activity. Physical activity levels were then compared between non-TKA and pre-TKA/post-TKA patients. Physical activity levels for each patient were also compared to the Department of Health and Human Services (DHHS) guidelines for physical activity.

Results:

There was no difference in physical activity between non-TKA and pre-TKA patients, with the exception of non-TKA patients achieving more daily minutes of vigorous activity (P < .001). There was no difference in physical activity between non-TKA and post-TKA patients. Although 11.6% of non-TKA patients met DHHS guidelines, only 4.8% of pre-TKA and 5.3% of post-TKA patients met guidelines.

Conclusion:

Despite the improvements in patient-reported outcome measures following TKA, we found that TKA alone does not improve physical activity levels beyond those seen in the average patient with OA. In our study, the vast majority of patients with OA, treated nonoperatively or operatively, did not meet current DHHS guidelines for physical activity.

Motivation for physical activity and exercise in severe mental illness: A systematic review of intervention studies

There has been increasing interest for research on motivation for physical activity (PA) and exercise among individuals with severe mental illness (SMI). The aim of this systematic review is to summarize findings from all intervention studies on PA or exercise that either include empirical data on motivational constructs or apply motivational techniques/theories in their intervention. Systematic searches of seven databases were conducted from database inception to February 2015. Studies were eligible if they: (i) included participants with SMI, (ii) had PA as part of the intervention, and (iii) reported empirical data on motivational constructs related to PA or incorporated motivational techniques/theory in their intervention. Of the 79 studies that met the inclusion criteria only one had motivation for PA as its main outcome. Nine additional interventions reported empirical data on motivational constructs. Altogether these studies yielded mixed results with respect to change in motivational constructs. Only one of those examined the association between motivation and PA, but found none. Sixty-four studies reported using motivational techniques/theory in their intervention. Motivational interviewing and goal-setting were the most popular techniques. Due to the exploratory nature of most of these studies, findings from intervention studies do not so far give very clear directions for motivational work with the patients. There is an urgent need for a more systematic theory based approach when developing strategies that target to increase engagement in PA among people with SMI.

A long life in good health: subjective expectations regarding length and future health-related quality of life

BACKGROUND

Subjective life expectancy is considered relevant in predicting mortality and future demand for health services as well as for explaining peoples' decisions in several life domains, such as the perceived impact of health behaviour changes on future health outcomes. Such expectations and in particular subjective expectations regarding future health-related quality of life remain understudied. The purpose of this study was to investigate individuals' subjective quality adjusted life years (QALYs) expectation from age 65 onwards in a representative sample of the Dutch generic public.

METHODS

A web-based questionnaire was administered to a sample of the adult population from the Netherlands. Information on subjective expectations regarding length and future health-related quality of life were combined into one single measure of subjective expected QALYs from age 65 onwards. This subjective QALY expectation was related to background, health and lifestyle variables. The implications of using different methods to construct our main outcome measure were addressed.

RESULTS

Mean subjective expected QALYs from age 65 onwards was 11 QALYs (range -9 to 40 QALYs). Individuals with unhealthier lifestyles, chronic diseases, severe disorders or lower age of death of next of kin reported lower QALY expectations. Indicators were varyingly associated with either subjective life expectancy or future health-related quality of life, or both.

CONCLUSION

Extending the concept of subjective life expectancy by correcting for expected quality of life appears to generate important additional information contributing to our understanding of people's perceptions regarding ageing and lifestyle choices.

High risk of fall, poor physical function, and low grip strength in men with fracture-the STRAMBO study

BACKGROUND

Several studies assessed the association of prevalent fractures with muscle mass, strength, and physical capacity in men. Clinical impact of these associations is not clear, and they could be influenced by confounders. Our aim was to assess the association of the prevalent fractures with muscle strength, physical function, and the risk of subsequent falls in older men after adjustment for muscle mass and potential confounders.

METHODS

In a cohort of 890 men aged 50 and older, we assessed appendicular skeletal muscle mass (ASM) by DXA, grip strength, physical function (chair stands, static, and dynamic balance). Relative ASM (RASM) was calculated as ASM / (height)(2). Then, 813 men aged 60 and over were followed up prospectively for 5 years and 144 sustained >1 incident falls. All the analyses were adjusted for lifestyle factors, co-morbidities, and hormones known to influence muscle and physical function.

RESULTS

Low leisure physical activity, very high occupational physical activity, Parkinson's disease, diabetes mellitus, low apparent free testosterone concentration (AFTC), as well as Grade 2 and 3 vertebral fractures and multiple fractures were associated with lower grip strength when adjusted for confounders including upper limb RASM. Low leisure physical activity, very high occupational physical activity, diabetes mellitus, prior stroke, low AFTC and 25-hydroxycholecalciferol, high C-reactive protein, vertebral fractures, and non-vertebral fractures were associated with poor physical function (lowest quintile of the score of tests) when adjusted for confounders including lower limb RASM. Grade 2 and 3 and multiple vertebral fractures were associated with twofold higher risk of multiple falls after adjustment for confounders. Men having multiple fractures had a twofold higher risk of multiple falls after adjusting for confounders. In multivariable models, risk of falls increased proportionally to the increasing severity and number of vertebral fractures as well as to the increasing number of all fractures.

CONCLUSIONS

In older men, Grade 2 and 3 vertebral fractures and multiple vertebral and non-vertebral fractures are associated with lower grip strength, poor physical function, and higher risk of multiple falls after adjustment for multiple confounders. This suggests a real direct association. One fracture can initiate a vicious circle leading to another fracture; thus, patients with fractures need physical therapy regardless of their general health status.

Ideal cardiovascular health and risk of cardiovascular events in the EPIC-Norfolk prospective population study

BACKGROUND

The American Heart Association has prioritised seven cardiovascular health metrics to reduce the cardiovascular burden, including: body mass index, healthy diet, physical activity, smoking status, blood pressure, glycated haemoglobin A1c and total cholesterol. The aim of the current study was to assess the association between the American Heart Association-defined health metrics and the risk of cardiovascular events in the EPIC-Norfolk prospective study.

DESIGN

Prospective cohort study.

METHODS

An overall cardiovascular health score was calculated based on the number of health metrics including ideal, intermediate or poor. Cox proportional hazards models were used to describe the association of the seven metrics separately and the overall health score with risk of coronary heart disease, stroke and cardiovascular disease. A total of 10,043 participants was included in the analysis (follow-up 1993-2008). For all individual health metrics a more ideal status was associated with a lower risk of cardiovascular events.

RESULTS AND CONCLUSION

As for the overall cardiovascular health score, those in the highest (i.e. healthiest) category (score 12-14) had an adjusted hazard ratio for coronary heart disease of 0.07 (95% confidence interval (CI) 0.02-0.29, P < 0.001), for stroke of 0.16 (95% CI 0.02-1.37, P = 0.09) and for cardiovascular disease of 0.07 (95% CI 0.02-0.23, P < 0.001), compared to people in the lowest (i.e. unhealthiest) category (score 0-2). The overall cardiovascular health score was strongly and inversely associated with risk of coronary heart disease, stroke and cardiovascular disease. Our data suggest that even small improvements in modifiable risk factors may lead to substantial reductions in the risks of cardiovascular events.

Association between adverse mental health and an unhealthy lifestyle in rural-to-urban migrant workers in Shanghai

BACKGROUND/PURPOSE

The association between adverse mental health and unhealthy lifestyle behaviors in migrant workers remains poorly defined in Chinese rural-to-urban migrants.

METHODS

A cross-sectional study was conducted regarding health-related behaviors in 5484 migrants (51.3% males) employed in Shanghai for at least 6 months. The Chinese version of the Symptom Checklist-90-Revised (SCL-90-R) was used to assess migrant mental health status. Logistic regression was applied to determine the contribution of adverse mental health to lifestyle behaviors.

RESULTS

Of the 5484 migrants, 21.1% had potential mental health problems and 63.1% had an unhealthy lifestyle. The three most prevalent mental disorders were obsessions-compulsions (O-C; 13.7%; 751/5484), interpersonal sensitivity (I-S; 11.0%; 603/5484), and hostility (HOS; 10.8%; 590/5484). Compared with the male participants, the female participants exhibited significantly increased mean scores for phobic anxiety (PHOB) and anxiety (ANX) (p < 0.001). Logistic regression indicated that after adjustment for potential confounding factors in both genders, an unhealthy lifestyle score was significantly associated with all nine subscales of the SCL-90-R. The male participants with psychoticism [PSY; odds ratio (OR) = 4.908, 95% confidence interval (CI) 2.474-9.735], ANX (OR = 4.022, 95% CI 2.151-7.518), or depression (DEP; OR = 3.378, 95% CI 2.079-5.487) were the most likely to have an unhealthy lifestyle. In the female participants, an unhealthy lifestyle was most associated with HOS (OR = 2.868, 95% CI 2.155-3.819), PSY (OR = 2.783, 95% CI 1.870-4.141), or DEP (OR = 2.650, 95% CI 1.960-3.582).

CONCLUSION

Lifestyle behaviors were significantly associated with mental health in rural-to-urban migrant workers, and these findings indicate the need to develop targeted psychological interventions to foster healthy lifestyles in migrants.

Facilitators and barriers of adopting healthy lifestyle in rural China: a qualitative analysis through social capital perspectives

Non-communicable diseases (NCDs) are the major public health concerns in China. However, little has been known yet about the background social factors that influence lifestyles as possible NCD risk factors. This qualitative study aimed to explore facilitators and barriers of adopting healthy lifestyles among residents in a rural community of China. Three age-stratified focus group discussions (FGDs) were conducted in Fangshan district of Beijing in 2013. A FGD guide was designed to elicit the participants' perception and experience regarding their lifestyles. The audio-records were transcribed, and data were qualitatively analyzed through thematic approach. Through social capital framework with bonding, bridging, and linking classifications, we identified the following facilitators and barriers to adopt healthy lifestyles. (1) Facilitators: mutual support from family/friends and motivation to participate in regular exercises (bonding); cooperative relationships with community health workers (bridging); and nationwide high level of healthy lifestyle awareness (linking). (2) Barriers: negative influence from family/friends, insufficient support from family/friends, peer pressure and tolerance towards unhealthy lifestyles (bonding); insufficient support from health professionals (bridging); and inequity in allocation of public resources (linking). This study revealed that bonding, bridging and linking social capital would work as facilitators and barriers to adopt healthy lifestyles among rural residents in China.

Influence of Dopaminergic System Genetic Variation and Lifestyle Factors on Excessive Alcohol Consumption

AIMS

To examine the role of genetic and environmental factors in the pathogenesis of alcohol dependence in a Spanish cohort of women and men.

METHODS

We analyzed the relationship between 56 genetic variants in 7 genes associated with the dopaminergic reward pathway and excessive alcohol consumption. The study sample (N = 1533, of which 746 were women) consisted of 653 heavy consumers and 880 very low consumers from the Spanish subcohort of the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Single nucleotide polymorphisms (SNPs) were genotyped using a customized array. Lifestyle variables were also examined to assess associations between genetic and environmental factors.

RESULTS

No statistically significant differences were found between cases and controls for the allele frequencies in five genes: TH, SLC18A2, DRD1, DRD3 and COMT. Conversely, some alleles of the 12 SNPs from the DRD2 locus and the 5 from the MAOA locus showed significant associations with excessive alcohol consumption. Namely, rs10891556 (DRD2) proved to be the only SNP positively correlated with excessive alcohol consumption in both sexes. DRD2 rs1800497 and rs877138 were significantly associated in men, whereas DRD2 rs17601612 and rs4936271 and MAOA rs5906898 were associated with excessive alcohol consumption in women. A correspondence analysis provided an overall lifestyle profile of excessive drinkers, who were predominantly men who smoked, had large intakes of meat, small intakes of fruit and vegetables, whose jobs did not require high education levels and who engaged in little physical activity.

CONCLUSIONS

It has shown the influence of dopaminergic pathway in the genetics of alcohol dependence with differences between men and women and providing a lifestyle profile of excessive drinkers.

Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China: A Cross-sectional Study

Background:

Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children. However, there is insufficient evidence on the clustering of risk behaviors among children in developing countries. This study aimed to determine the clustering of risk behaviors and their social determinants among 4^th-and 5^th -grade learners in Beijing, China.

Methods:

The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling. Prevalence denoted the risk behaviors and their clustering. A log-linear model was used to explore the clustering patterns. Ordinal logistic regression determined the influence of demographic characteristics, school environment, and family context on behavioral clustering.

Results:

The prevalence of none, one, two, and three or more risk factors was 61.2%, 20.0%, 10.8%, and 8.1% for infectious diseases and 46.0%, 30.6%, 15.4%, and 8.0% for chronic diseases, respectively. Some behaviors appeared dependent and were more likely to be observed together. The three most influential factors for infectious diseases were school type (odds ratio [OR] =4.47, 95% confidence interval [CI] 3.00–6.66), school located in an inner suburb (OR = 0.27, 95% CI 0.18–0.38), and gender (OR = 0.56, 95% CI 0.42–0.74). Regarding risk behaviors for chronic diseases, clustering was not associated with household registration status and number of appliances, but was significantly associated with school type (OR = 5.36, 95% CI 3.72–7.73), school located in an inner suburb (OR = 0.59, 95% CI 0.43–0.81), and gender (OR = 0.61, 95% CI 0.47–0.78). School environment variables were the most significant contributor to the number of risk behaviors.

Conclusions:

The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors. Therefore, improved school conditions and integrated behavioral interventions are particularly recommended for health promotion.

Longitudinal patterns and predictors of multiple health risk behaviors among adolescents: The TRAILS study

BACKGROUND

Most studies on multiple health risk behaviors among adolescents have cross-sectionally studied a limited number of health behaviors or determinants.

PURPOSE

To examine the prevalence, longitudinal patterns and predictors of individual and multiple health risk behaviors among adolescents.

METHODS

Eight health risk behaviors (no regular consumption of fruit, vegetables or breakfast, overweight or obesity, physical inactivity, smoking, alcohol use and cannabis use) were assessed in a prospective population study (second and third wave). Participants were assessed in three waves between ages 10 and 17 (2001-2008; n=2230). Multiple linear regression was used to assess the influence of gender, self-control, parental health risk behaviors, parental monitoring and socioeconomic factors on the number of health risk behaviors adjusted for preceding multiple health risk behaviors (analysis: 2013-2014).

RESULTS

Rates of >5 health risk behaviors were high: 3.6% at age 13.5 and 10.2% at age 16. Smoking at age 13.5 was frequently associated with health risk behaviors at age 16. No regular consumption of fruit, vegetables and breakfast, overweight or obesity, physical inactivity and smoking predicted the co-occurrence of health risk behaviors at follow-up. Significant predictors of the development of multiple health risk behaviors were adolescents' levels of self-control, socioeconomic status and maternal smoking.

CONCLUSIONS

Multiple health risk behaviors are common among adolescents. Individual and social factors predict changes in multiple health risk behaviors, showing that prevention targeting multiple risk behaviors is needed. Special attention should be paid to adolescents with low self-control and families with low socioeconomic status or a mother who smokes.

Association between physical activity and all cancer mortality: Dose-response meta-analysis of cohort studies

The relationship between physical activity (PA) before cancer diagnosis and all cancer mortality among the general population is not well defined because of inconsistent results from published studies. Thus, the lack of a meta-analysis that addresses that issue prompted the current report. We conducted a literature search of PubMed and Web of Science to identify all relevant epidemiological studies published before February 28, 2015. We performed categorical and dose-response meta-analyses to evaluate and quantify the association between pre-diagnosis PA and all cancer mortality. A total of 32 prospective cohort studies involving 59,362 cancer deaths were included in this meta-analysis. The pooled relative risks (RRs) of all cancer mortality were 0.80 [95% confidence interval (CI) = 0.76-0.85)] for highest versus lowest PA group and 0.85 (95% CI = 0.82-0.88) for PA versus non/occasional PA group. Dose-response analysis showed that the increment in pre-diagnosis PA level was associated with a decreased risk of cancer death continuously. Moreover, an increment of 10 MET-h/week was related to a 7% lower risk for all cancer mortality (RR = 0.93, 95% CI = 0.91-0.95). In conclusion, the present meta-analysis provides evidence of an inverse association between pre-diagnosis PA and all cancer mortality among the general population. High-quality epidemiological studies that employ standardized PA assessments and unified definitions of PA levels should be developed in future.

An Updated Review of Interventions that Include Promotion of Physical Activity for Adult Men

The marked disparity in life expectancy between men and women suggests men are a vulnerable group requiring targeted health promotion programs. As such, there is an increasing need for health promotion strategies that effectively engage men with their health and/or illness management. Programs that promote physical activity could significantly improve the health of men. Although George et al. (Sports Med 42(3):281, 30) reviewed physical activity programs involving adult males published between 1990 and 2010, developments in men's health have prompted the emergence of new sex- and gender-specific approaches targeting men. The purpose of this review was to: (1) extend and update the review undertaken by George et al. (Sports Med 42(3):281, 30) concerning the effectiveness of physical activity programs in males, and (2) evaluate the integration of gender-specific influences in the content, design, and delivery of men's health promotion programs. A search of MEDLINE, CINAHL, ScienceDirect, Web of Science, PsycINFO, the Cochrane Library, and the SPORTDiscus databases for articles published between January 2010 and August 2014 was conducted. In total, 35 studies, involving evaluations of 31 programs, were identified. Findings revealed that a variety of techniques and modes of delivery could effectively promote physical activity among men. Though the majority of programs were offered exclusively to men, 12 programs explicitly integrated gender-related influences in male-specific programs in ways that recognized men's interests and preferences. Innovations in male-only programs that focus on masculine ideals and gender influences to engage men in increasing their physical activity hold potential for informing strategies to promote other areas of men's health.

Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic Review

BACKGROUND

Smoking, alcohol consumption, poor diet and low levels of physical activity significantly contribute to the burden of illness in developed countries. Whilst the links between specific and multiple risk behaviours and individual chronic conditions are well documented, the impact of these behaviours in mid-life across a range of later life outcomes has yet to be comprehensively assessed. This review aimed to provide an overview of behavioural risk factors in mid-life that are associated with successful ageing and the primary prevention or delay of disability, dementia, frailty and non-communicable chronic conditions.

METHODS

A literature search was conducted to identify cohort studies published in English since 2000 up to Dec 2014. Multivariate analyses and a minimum follow-up of five years were required for inclusion. Two reviewers screened titles, abstracts and papers independently. Studies were assessed for quality. Evidence was synthesised by mid-life behavioural risk for a range of late life outcomes.

FINDINGS

This search located 10,338 individual references, of which 164 are included in this review. Follow-up data ranged from five years to 36 years. Outcomes include dementia, frailty, disability and cardiovascular disease. There is consistent evidence of beneficial associations between mid-life physical activity, healthy ageing and disease outcomes. Across all populations studied there is consistent evidence that mid-life smoking has a detrimental effect on health. Evidence specific to alcohol consumption was mixed. Limited, but supportive, evidence was available relating specifically to mid-life diet, leisure and social activities or health inequalities.

CONCLUSIONS

There is consistent evidence of associations between mid-life behaviours and a range of late life outcomes. The promotion of physical activity, healthy diet and smoking cessation in all mid-life populations should be encouraged for successful ageing and the prevention of disability and chronic disease.

Barriers and Facilitators to the Uptake and Maintenance of Healthy Behaviours by People at Mid-Life: A Rapid Systematic Review

BACKGROUND

With an ageing population, there is an increasing societal impact of ill health in later life. People who adopt healthy behaviours are more likely to age successfully. To engage people in health promotion initiatives in mid-life, a good understanding is needed of why people do not undertake healthy behaviours or engage in unhealthy ones.

METHODS

Searches were conducted to identify systematic reviews and qualitative or longitudinal cohort studies that reported mid-life barriers and facilitators to healthy behaviours. Mid-life ranged from 40 to 64 years, but younger adults in disadvantaged or minority groups were also eligible to reflect potential earlier disease onset. Two reviewers independently conducted reference screening and study inclusion. Included studies were assessed for quality. Barriers and facilitators were identified and synthesised into broader themes to allow comparisons across behavioural risks.

FINDINGS

From 16,426 titles reviewed, 28 qualitative studies, 11 longitudinal cohort studies and 46 systematic reviews were included. Evidence was found relating to uptake and maintenance of physical activity, diet and eating behaviours, smoking, alcohol, eye care, and other health promoting behaviours and grouped into six themes: health and quality of life, sociocultural factors, the physical environment, access, psychological factors, evidence relating to health inequalities. Most of the available evidence was from developed countries. Barriers that recur across different health behaviours include lack of time (due to family, household and occupational responsibilities), access issues (to transport, facilities and resources), financial costs, entrenched attitudes and behaviours, restrictions in the physical environment, low socioeconomic status, lack of knowledge. Facilitators include a focus on enjoyment, health benefits including healthy ageing, social support, clear messages, and integration of behaviours into lifestyle. Specific issues relating to population and culture were identified relating to health inequalities.

CONCLUSIONS

The barriers and facilitators identified can inform the design of tailored interventions for people in mid-life.

Gender differences in metabolic syndrome components among the Korean 66-year-old population with metabolic syndrome

Background

Gender is thought to be an important factor in metabolic syndrome and its outcomes. Despite a number of studies that have demonstrated differences in metabolism and its components that are dependent on gender, limited information about gender differences on the characteristics of metabolic syndrome and its components is available regarding the Korean old adult population. This study aimed to identify gender differences in characteristics of the metabolic syndrome and other risk factors for cardiovascular disease.

Methods

Secondary analysis of data from a nationwide cross-sectional survey for health examination at the time of transitioning from midlife to old age was performed. Multiple logistic regression models were used to estimate adjusted odds ratios and 95 % confidence intervals for gender differences among the Korean 66-year-old population with metabolic syndrome.

Results

Gender differences in metabolic syndrome components that contributed to the diagnosis of metabolic syndrome were identified. In males, the most common component was high blood sugar levels (87.5 %), followed by elevated triglyceride levels (83.5 %) and high blood pressure (83.1 %). In females, the most commonly identified component was elevated triglyceride levels (79.0 %), followed by high blood sugar levels (78.6 %) and high blood pressure (78.5 %). Gender differences for other risk factors for cardiovascular disease, including family history, health habits, and body mass index were observed.

Conclusions

Gender-specific public health policies and management strategies to prevent cardiovascular disease among the older adult population should be developed for Koreans undergoing the physiological transition to old age.

Patient-centred care, health behaviours and cardiovascular risk factor levels in people with recently diagnosed type 2 diabetes: 5-year follow-up of the ADDITION-Plus trial cohort

OBJECTIVE

To examine the association between the experience of patient-centred care (PCC), health behaviours and cardiovascular disease (CVD) risk factor levels among people with type 2 diabetes.

DESIGN

Population-based prospective cohort study.

SETTING

34 general practices in East Anglia, UK, delivering organised diabetes care.

PARTICIPANTS

478 patients recently diagnosed with type 2 diabetes aged between 40 and 69 years enrolled in the ADDITION-Plus trial.

MAIN OUTCOME MEASURES

Self-reported and objectively measured health behaviours (diet, physical activity, smoking status), CVD risk factor levels (blood pressure, lipid levels, glycated haemoglobin, body mass index, waist circumference) and modelled 10-year CVD risk.

RESULTS

Better experiences of PCC early in the course of living with diabetes were not associated with meaningful differences in self-reported physical activity levels including total activity energy expenditure (β-coefficient: 0.080 MET h/day (95% CI 0.017 to 0.143; p=0.01)), moderate-to-vigorous physical activity (β-coefficient: 5.328 min/day (95% CI 0.796 to 9.859; p=0.01)) and reduced sedentary time (β-coefficient: -1.633 min/day (95% CI -2.897 to -0.368; p=0.01)). PCC was not associated with clinically meaningful differences in levels of high-density lipoprotein cholesterol (β-coefficient: 0.002 mmol/L (95% CI 0.001 to 0.004; p=0.03)), systolic blood pressure (β-coefficient: -0.561 mm Hg (95% CI -0.653 to -0.468; p=0.01)) or diastolic blood pressure (β-coefficient: -0.565 mm Hg (95% CI -0.654 to -0.476; p=0.01)). Over an extended follow-up of 5 years, we observed no clear evidence that PCC was associated with self-reported, clinical or biochemical outcomes, except for waist circumference (β-coefficient: 0.085 cm (95% CI 0.015 to 0.155; p=0.02)).

CONCLUSIONS

We found little evidence that experience of PCC early in the course of diabetes was associated with clinically important changes in health-related behaviours or CVD risk factors.

TRIAL REGISTRATION NUMBER

ISRCTN99175498; Post-results.

Hospital treatment, mortality and healthcare costs in relation to socioeconomic status among people with bipolar affective disorder

BACKGROUND

Evidence regarding the relationships between the socioeconomic status and long-term outcomes of individuals with bipolar affective disorder (BPD) is lacking.

AIMS

We aimed to estimate the effects of baseline socioeconomic status on longitudinal outcomes.

METHOD

A national cohort of adult participants with newly diagnosed BPD was identified in 2008. The effects of personal and household socioeconomic status were explored on outcomes of hospital treatment, mortality and healthcare costs, over a 3-year follow-up period (2008-2011).

RESULTS

A total of 7987 participants were recruited. The relative risks of hospital treatment and mortality were found elevated for the ones from low-income households who also had higher healthcare costs. Low premium levels did not correlate with future healthcare costs.

CONCLUSIONS

Socioeconomic deprivation is associated with poorer outcome and higher healthcare costs in BPD patients. Special care should be given to those with lower socioeconomic status to improve outcomes with potential benefits of cost savings in the following years.

DECLARATION OF INTEREST

None.

COPYRIGHT AND USAGE

© 2016 The Royal College of Psychiatrists. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Accumulation of risk factors associated with poor bone health in older adults

Clustering of factors linked with poor bone health is common in older adults and is associated with lower bone density and increased fracture risk in women.

PURPOSE

Many factors are associated with bone mineral density, which in turn is strongly linked with risk of fragility fracture. We assessed how commonly clustering of risk factors occurs and related such clustering to bone mineral density in a population of older community-dwelling men and women.

METHOD

This is a cross-sectional study with 498 men and 498 women aged 59 to 72 years, who were participants in the Hertfordshire Cohort Study, in whom incident fracture was recorded. Physical activity, diet quality, history of prior fracture, family history of fracture, cigarette and alcohol consumption and comorbidities were obtained through baseline questionnaire. Measurements of grip strength and bone mineral density of the lumbar spine and total femur were also taken.

RESULTS

Clustering of risk factors was common, with over 30% having two or more. In women, a graded association between the number of risk factors and low bone density was seen, and strong relationships were also seen between the number of risk factors and incident fracture; women with three or more risk factors had an adjusted hazard ratio (HR) of incident fracture of 5.98 (1.67, 21.43; p = 0.006) compared to women with no risk factors; women with two risk factors had an adjusted HR of 2.97 (1.14, 7.74; p = 0.03) and those with one, 2.28 (0.90, 5.75; p = 0.08).

CONCLUSION

Clustering of risk factors for poor bone health is common in community-dwelling older adults and is associated with increased risk of fracture and adverse bone health in women.

Healthy Eating and Active Living: Rural-Based Working Men's Perspectives

There is a pressing need for health promotion programs focused on increasing healthy eating and active living among “unreached” rural-based men. The purpose of the current study was to describe rural-based working men’s views about health to distil acceptable workplace approaches to promoting men’s healthy lifestyles. Two focus group interviews included 21 men who worked and lived in northern British Columbia, Canada. Interviews were approximately 2 hours in duration; data were analyzed using thematic analysis. Themes inductively derived included (a) food as quick filling fuels, (b) work strength and recreational exercise, and (c) (re)working masculine health norms. Participants positioned foods as quick filling fuels both at work and home as reflecting time constraints and the need to bolster energy levels. In the theme work strength and recreational exercise, men highlighted the physical labor demands pointing to the need to be resilient in overcoming the subarctic climate and/or work fatigue in order to fit in exercise. In the context of workplace health promotion programs for men, participants advised how clear messaging and linkages between health and work performance and productivity and cultivating friendly competition among male employees were central to reworking, as well as working, with established masculine health norms. Overall, the study findings indicate that the workplace can be an important means to reaching men in rural communities and promoting healthy eating and active living. That said, the development of workplace programs should be guided by strength-based masculine virtues and values that proactively embrace work and family life.

Burden attributable to Cardiometabolic Diseases in Zimbabwe: a retrospective cross-sectional study of national mortality data

BACKGROUND

Cardiometabolic diseases (CMDs) are an important cause of mortality worldwide and the burden associated with them is increasing in Sub-Saharan Africa. The tracking of mortality helps support evidence based health policy and priority setting. Given the growing prevalence of non-communicable diseases in Zimbabwe, a study was designed to determine the mortality attributable to CMDs in Zimbabwe.

METHODS

The study design was a retrospective cross-sectional analysis of national mortality from 1996 to 2007, collated by the Ministry of Health and Child Welfare in Zimbabwe. We employed generalized additive models to flexibly estimate the trend of the CMD mortality and a logistic regression model was used to find significant factors (cause of death according to the death certificate) of the CMD mortality and predict CMD mortality to 2040.

RESULTS

CMDs accounted for 8.13% (95% CI: 8.08% - 8.18%) of all deaths during 1996 to 2007 (p = 0.005). During the study period CMD mortality rate increased by 29.4% (95% CI: 19.9% - 41.1%). The association between gender and CMD mortality indicated female mortality was higher for diabetes (p < 0.001), hypertensive disease (p < 0.001), CVD (p < 0.001) and pulmonary disease (p < 0.001), while male mortality was higher for ischaemic (p = 0.010) and urinary diseases (p < 0.001). There was no gender difference for endocrine disease (p = 0.893). Overall, females have 1.65% higher mortality than males (p < 0.001). CMD mortality is predicted to increase from 9.6 (95% CI: 8.0% - 11.1%) in 2015 to 13.7% (95% CI: 10.2% - 17.2%) in 2040 for males, and from 11.6% (95% CI: 10.2% - 12.9%) in 2015 to 16.2% (95% CI: 13.1% - 19.3%) in 2040 in females.

CONCLUSION

The findings of this study indicate a growing prevalence of CMDs and related mortality in Zimbabwe. Health policy decisions and cost-effective preventive strategies to reduce the burden of CMDs are urgently required.

Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort

BACKGROUND

Lifestyle risk behaviors are responsible for a large proportion of disease burden worldwide. Behavioral risk factors, such as smoking, poor diet, and physical inactivity, tend to cluster within populations and may have synergistic effects on health. As evidence continues to accumulate on emerging lifestyle risk factors, such as prolonged sitting and unhealthy sleep patterns, incorporating these new risk factors will provide clinically relevant information on combinations of lifestyle risk factors.

METHODS AND FINDINGS

Using data from a large Australian cohort of middle-aged and older adults, this is the first study to our knowledge to examine a lifestyle risk index incorporating sedentary behavior and sleep in relation to all-cause mortality. Baseline data (February 2006- April 2009) were linked to mortality registration data until June 15, 2014. Smoking, high alcohol intake, poor diet, physical inactivity, prolonged sitting, and unhealthy (short/long) sleep duration were measured by questionnaires and summed into an index score. Cox proportional hazards analysis was used with the index score and each unique risk combination as exposure variables, adjusted for socio-demographic characteristics. During 6 y of follow-up of 231,048 participants for 1,409,591 person-years, 15,635 deaths were registered. Of all participants, 31.2%, 36.9%, 21.4%, and 10.6% reported 0, 1, 2, and 3+ risk factors, respectively. There was a strong relationship between the lifestyle risk index score and all-cause mortality. The index score had good predictive validity (c index = 0.763), and the partial population attributable risk was 31.3%. Out of all 96 possible risk combinations, the 30 most commonly occurring combinations accounted for more than 90% of the participants. Among those, combinations involving physical inactivity, prolonged sitting, and/or long sleep duration and combinations involving smoking and high alcohol intake had the strongest associations with all-cause mortality. Limitations of the study include self-reported and under-specified measures, dichotomized risk scores, lack of long-term patterns of lifestyle behaviors, and lack of cause-specific mortality data.

CONCLUSIONS

Adherence to healthy lifestyle behaviors could reduce the risk for death from all causes. Specific combinations of lifestyle risk behaviors may be more harmful than others, suggesting synergistic relationships among risk factors.

Influence of central nervous system-acting drugs on results of cognitive testing in geriatric inpatients

INTRODUCTION

Growing evidence shows a high correlation between extensive use of central nervous system-acting drugs (CNSADs) in elderly patients and adverse drug reactions (ADRs) such as falls, fractures, and mortality.

RESEARCH QUESTION

Are results of cognitive testing with the Mini Mental Status Examination (MMSE) influenced by use of CNSADs?

SETTING

Geriatric inpatient service for acute, subacute, and rehabilitation care.

METHODS

Secondary combined analysis of two prospective, single-center study cohorts (PROPSYC, 2011 and AGE OUT, 2012) with identical procedure for the MMSE at a tertiary hospital.

RESULTS

Overall, 395 patients were included, 144 male (M) and 251 female (F). Mean age was 80.0 ± 8.4 years (M 76.7 ± 9.1, F 81.9 ± 7.3, p = 0.0000). Mean MMSE points were 22.9 ± 4.8 (M 23.2 ± 4.6, F 22.6 ± 5.0, p = 0.211). In total, 258 patients (65.3 %) used drugs with potential adverse cognitive properties. Analgesics with central activity were given to 117 of 395 patients (29.6 %). Low-potency opioids (tramadol hydrochloride, tilidine) were identified in 60 patients and high-potency opioids in 57 patients. Antidepressants were used in 66 patients, benzodiazepines in 26, and hypnotics in 11, while 38 patients received other CNSADs. We only found significant correlations with the results of cognitive testing for sedatives (diazepam and oxazepam, Pearson's r - 0.79, p = 0.05), but not for lorazepam.

CONCLUSION

Our analysis shows an influence of sedatives (diazepam and oxazepam, but not lorazepam) on cognitive testing with the MMSE in users of CNSADs.

Health-Risk Behaviour in Deprived Neighbourhoods Compared with Non-Deprived Neighbourhoods: A Systematic Literature Review of Quantitative Observational Studies

BACKGROUND

There has been increasing interest in neighbourhoods' influence on individuals' health-risk behaviours, such as smoking, alcohol consumption, physical activity and diet. The aim of this review was to systematically review recent studies on health-risk behaviour among adults who live in deprived neighbourhoods compared with those who live in non-deprived neighbourhoods and to summarise what kind of operationalisations of neighbourhood deprivation that were used in the studies.

METHODS

PRISMA guidelines for systematic reviews were followed. Systematic searches were performed in PubMed, Embase, Web of Science and Sociological Abstracts using relevant search terms, Boolean operators, and truncation, and reference lists were scanned. Quantitative observational studies that examined health-risk behaviour in deprived neighbourhoods compared with non-deprived neighbourhoods were eligible for inclusion.

RESULTS

The inclusion criteria were met by 22 studies. The available literature showed a positive association between smoking and physical inactivity and living in deprived neighbourhoods compared with non-deprived neighbourhoods. In regard to low fruit and vegetable consumption and alcohol consumption, the results were ambiguous, and no clear differences were found. Numerous different operationalisations of neighbourhood deprivation were used in the studies.

CONCLUSION

Substantial evidence indicates that future health interventions in deprived neighbourhoods should focus on smoking and physical inactivity. We suggest that alcohol interventions should be population based rather than based on the specific needs of deprived neighbourhoods. More research is needed on fruit and vegetable consumption. In future studies, the lack of a uniform operationalisation of neighbourhood deprivation must be addressed.

Text Message and Internet Support for Coronary Heart Disease Self-Management: Results From the Text4Heart Randomized Controlled Trial

BACKGROUND

Mobile technology has the potential to deliver behavior change interventions (mHealth) to reduce coronary heart disease (CHD) at modest cost. Previous studies have focused on single behaviors; however, cardiac rehabilitation (CR), a component of CHD self-management, needs to address multiple risk factors.

OBJECTIVE

The aim was to investigate the effectiveness of a mHealth-delivered comprehensive CR program (Text4Heart) to improve adherence to recommended lifestyle behaviors (smoking cessation, physical activity, healthy diet, and nonharmful alcohol use) in addition to usual care (traditional CR).

METHODS

A 2-arm, parallel, randomized controlled trial was conducted in New Zealand adults diagnosed with CHD. Participants were recruited in-hospital and were encouraged to attend center-based CR (usual care control). In addition, the intervention group received a personalized 24-week mHealth program, framed in social cognitive theory, sent by fully automated daily short message service (SMS) text messages and a supporting website. The primary outcome was adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score (≥3) at 3 and 6 months. Secondary outcomes included clinical outcomes, medication adherence score, self-efficacy, illness perceptions, and anxiety and/or depression at 6 months. Baseline and 6-month follow-up assessments (unblinded) were conducted in person.

RESULTS

Eligible patients (N=123) recruited from 2 large metropolitan hospitals were randomized to the intervention (n=61) or the control (n=62) group. Participants were predominantly male (100/123, 81.3%), New Zealand European (73/123, 59.3%), with a mean age of 59.5 (SD 11.1) years. A significant treatment effect in favor of the intervention was observed for the primary outcome at 3 months (AOR 2.55, 95% CI 1.12-5.84; P=.03), but not at 6 months (AOR 1.93, 95% CI 0.83-4.53; P=.13). The intervention group reported significantly greater medication adherence score (mean difference: 0.58, 95% CI 0.19-0.97; P=.004). The majority of intervention participants reported reading all their text messages (52/61, 85%). The number of visits to the website per person ranged from zero to 100 (median 3) over the 6-month intervention period.

CONCLUSIONS

A mHealth CR intervention plus usual care showed a positive effect on adherence to multiple lifestyle behavior changes at 3 months in New Zealand adults with CHD compared to usual care alone. The effect was not sustained to the end of the 6-month intervention. A larger study is needed to determine the size of the effect in the longer term and whether the change in behavior reduces adverse cardiovascular events.

TRIAL REGISTRATION

ACTRN 12613000901707; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364758&isReview=true (Archived by WebCite at http://www.webcitation.org/6c4qhcHKt).