Prevalence and co-occurrence of lifestyle risk factors for non-communicable diseases according to sociodemographic characteristics among adults Chilean residents

To examine the prevalence and co-occurrence of lifestyle risk factors for non-communicable diseases (NCDs) according to sociodemographic characteristics in Chilean residents. A cross-sectional study based on data from 5995 adults from the Chilean National Health Survey. The lifestyle risk factors included were physical inactivity, tobacco consumption, alcohol consumption, low fruits and vegetable consumption, and overweight/obesity. The most frequent risk factor was overweight/obesity (75.6%), followed by alcohol consumption (74.8%), low fruits and vegetable consumption (51.7%), physical inactivity (36.3%), and tobacco consumption (27.9%). Only 1.0% of the participants did not present any risk factor, while 9.6%, 30.4%, 34.0%, 20.3%, and 4.7% accumulated one, two, three, four, and five risk factors. Men (OR 1.56; 95% CI 1.18; 2.04), people who have secondary education (OR 1.59; 95% CI 1.20; 2.10), and those with lower household income (OR 1.39; 95% CI 1.09; 1.59) had higher odds of three or more risk factors. Associations were inverse for older adults (OR 0.57; 95% CI 0.41; 0.79) and rural geographic areas (OR 0.77; 95% CI 0.67; 0.89). The prevalence of risk factors for NCDs is fairly high in Chilean residents. Interventions may need to target these co-occurrences rather than emphasizing individual risk factors for NCDs. Interventions could further consider these co-occurrences as a potential target for population stratification.

Risk and protective behaviors for chronic non-communicable diseases among Brazilian adults

OBJECTIVES

This study aimed to analyze behavioral patterns of protective and risk factors for chronic non-communicable diseases (NCDs) among adults and to explore the association between these patterns and sociodemographic characteristics using data from the National Health Survey 2013.

STUDY DESIGN

This was a cross-sectional study.

METHODS

This is a population-based study, nationwide, of individuals aged ≥18 years (n = 60,202). The sampling process used was grouping with three selection stages: census sector, households, and individuals. The factor analysis by principal component was used to identify behavioral patterns of protective and risk factors for NCDs. Linear regression was used to explore the association between patterns and sociodemographic characteristics.

RESULTS

Two behavioral patterns were identified: a 'protective pattern' featured by consumption of vegetable, fruits/natural fruit juice, and low-fat milk and recommended physical activity practice during leisure time; and a 'risk pattern' characterized by consumption of high-fat meat and soft drinks, alcohol abuse, and smoking habit. Adherence to the protective pattern was associated with older White women who had higher levels of education, were economically active, and lived in the urban areas of the country. Younger, economically active men living in the urban areas were associated with the risk patterns.

CONCLUSIONS

Two behavioral patterns for NCDs have been identified and are distributed non-randomly in the adult Brazilian population. These findings are expected to contribute to better targeting health promotion and prevention of NCDs.

An online cross-sectional survey of the health risk behaviours among informal caregivers

ISSUE ADDRESSED

Informal caregivers may experience unique barriers to engaging in healthy lifestyles, consequently increasing their risk of chronic disease. Among a convenience sample of informal caregivers, this study aimed to: (a) assess the self-reported health risk behaviours of low fruit and vegetable consumption, low physical activity, current smoking and hazardous alcohol consumption; (b) examine the demographic, caree condition and country of residence variables associated with each health risk behaviour; and (c) report the engagement in multiple health risk behaviours.

METHODS

An online cross-sectional survey among caregivers in Australia, Canada, New Zealand, the United Kingdom and the United States was conducted. Self-reported health risk behaviours were assessed and compared to key Australian healthy living guidelines. Logistic regression modelling identified participant factors associated with each health risk behaviour.

RESULTS

Overall, 384 caregivers were included in the analysis. Hazardous alcohol consumption was the only self-reported health risk behaviour which was much higher than in the general population (60.0%). Caregiver age (P = .018) and country of residence (P = .015) were associated with hazardous alcohol consumption. A majority of caregivers reported engaging in three health risk behaviours (55.0%).

CONCLUSIONS

Caregivers are engaging in a range of health risk behaviours; however, rates of hazardous alcohol consumption among the sample were high. Health promotion interventions targeted to address alcohol consumption should consider caregiver age and country of residence. SO WHAT?: This study highlights the health risk behaviours caregivers engage in across a number of countries, and suggests that caregivers require further support to manage alcohol consumption in particular.

Co-occurrence and clustering of the four major non-communicable disease risk factors in Brazilian adolescents: Analysis of a national school-based survey

Background

The major non-communicable chronic diseases (NCD) are associated with a small group of modifiable lifestyle-related risk factors, including smoking, insufficient physical activity, unhealthy eating, and alcohol abuse. In this study, we evaluated the co-occurrence and clustering of the major NCD risk factors among Brazilian adolescents.

Methods

This cross-sectional study analyzed data of 101,607 adolescents from the Brazilian National Survey of School Health (PeNSE) 2015. The risk factors included were: regular consumption of ultra-processed foods, irregular consumption of fruits and vegetables, insufficient physical activity, smoking, and alcohol consumption. Clustering was defined through the ratio between observed and expected prevalences of combination of risk factors greater than 1. Expected prevalence of the co-occurrence of risk factors was calculated from the joint probability of the behaviors. Additionally, we examined the presence of at least four risk factors according to socioeconomic characteristics.

Results

Of the 32 combinations of risk factors, 13 corresponded to clustering. We observed a strong correlation between alcohol consumption and smoking, which were found together in 8 of the 13 clusters identified. The most frequent combinations of risk factors involved unhealthy eating and insufficient physical activity. Only 2.9% of the adolescents did not present any risk behaviors, while 38.0%, 32.9%, 9.4% and 1.8% accumulated two, three, four and five risk factors, respectively. The accumulation of risk factors was higher in girls, older adolescents, those who did not live with both parents, children of less-educated mothers, students attending public school, and residents of cities in more developed urban areas of the country.

Conclusions

The main risk factors for NCD are frequent and not randomly distributed among Brazilian adolescents. Our results provide information for policymakers to target specific groups and joint behavioral risk factors for health improvement in adolescents.

Smoking and Physical Activity Trajectories from Childhood to Midlife

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants' smoking and PA were assessed five to eight times over a 31-year period (3⁻18 years old at the baseline, 34⁻49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

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.

The association between cannabis use and motivation and intentions to quit tobacco within a sample of Australian socioeconomically disadvantaged smokers

This study aimed to (i) describe concurrent and simultaneous tobacco and cannabis use and (ii) investigate the association between cannabis use and motivation and intentions to quit tobacco in a sample of socioeconomically disadvantaged smokers. A cross-sectional survey was conducted in 2013 and 2014 with current tobacco smokers receiving aid from two community service organizations in New South Wales, Australia. At least weekly cannabis use for the month prior to survey, motivation to quit tobacco and intentions to quit tobacco were measured in 369 participants (77% consent rate). Regressions were carried out to investigate associations between weekly cannabis use and motivation and intentions to quit tobacco.Concurrent tobacco and cannabis use was reported by 19% (n = 71) of the sample and of these users, 100% reported simultaneous use. Although regular cannabis use was significantly associated with lower motivation to quit tobacco, it was not significantly associated with intentions to quit tobacco in the next 30 days. Concurrent cannabis use is common in disadvantaged smokers and may play a role in decreased motivation to quit tobacco; however, it does not appear to be associated with intentions to quit in a sample of disadvantaged smokers.

[Healthy eating and self-perception of health]

OBJECTIVES

The aim is to determine whether there is an association between perceived health status, healthy eating and other lifestyles in people over 50 years old.

DESIGN

Cross-sectional study.

SETTING

8 Basic Health Zones from the Health Area of Albacete.

PARTICIPANTS

A total of 781 subjects, randomly selected by simple random sampling.

MAIN MEASUREMENTS

variables: self-rated quality of life (EuroQol 5D), dietary habits (questionnaire on frequency of food consumption), physical activity (IPAQ questionnaire), toxic habits, health problems (International Classification of Primary Care) and sociodemographic characteristics.

RESULTS

The mean age was 61.4 years (SD: 6.6) and the proportion of women was 60.1%. On a scale of 0-100 the mean score in the perceived health status was 74.0 (SD: 15.2). This score had a weak correlation with the number of healthy eating criteria (r=0.078; P=.03). A linear trend (P=.001) was observed between exercise intensity and better self-rated health. The score was lower in smokers (70.9±15.6 vs 74.9±15.1 SD; P=.004). In the multiple regression, the number of healthy eating criteria remained an association with the score on perceived health status (P=.04), after adjusting the model for sociodemographic characteristics, number of health problems, and toxic habits.

CONCLUSIONS

In people over 50years of age the level of self-rated health is associated with the fulfilment of the criteria of a healthy diet, which is independent of other health habits and main sociodemographic variables.

Associations between behavioural risk factors and smoking, heavy smoking and future smoking among an Australian population-based sample

INTRODUCTION

Tobacco smoking co-occurs with behavioural risk factors including diet, alcohol use and obesity. However, the association between behavioural risk factors and heavy smoking (>20cig/day) compared to light-moderate smoking is unknown. The link between behavioural risk factors and future smoking for both ex and current smokers is also unknown. This study sought to examine these relationships. It is hypothesised that behavioural risk factors will be more strongly associated with heavy smoking.

METHOD

Data from Wave 7 (2007) of the Household and Labour Dynamics in Australia (HILDA) survey was analysed using logistic regression to determine relationships between diet (fruit and vegetable consumption, and unhealthy diet choices), alcohol consumption, obesity and physical activity with light-moderate smoking and heavy smoking. The association between these risk factors and future smoking (2008) was assessed for current and ex-smokers (2007).

RESULTS

Obese respondents were less likely to be light/moderate smokers (RRR: 0.53; 95% CI: 0.43, 0.66) but not heavy smokers. Those who consume confectionary weekly were less likely to be light/moderate smokers (RRR: 0.73; 95% CI: 0.61, 0.87), but not heavy smokers. Smokers in 2007 were more likely to continue smoking in 2008 if they consumed 1-4 drinks per occasion (OR: 2.52; 95% CI: 1.13, 5.62). Ex-smokers in 2007 were less likely to relapse in 2008 if they consumed recommended levels of both fruit and vegetables (OR: 0.31; CI: 0.10, 0.91).

CONCLUSION

The relationships between heavy smoking and behavioural risk factors differ from moderate-light smoking. Future primary care interventions would benefit from targeting multiple risk factors, particularly for heavy smokers.

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.

Identifying Those Whom Health Promotion Hardly Reaches: A Systematic Review

To understand what circumstances lend groups to be recognized as hardly reached by health services and research, we systematically reviewed studies that identified their priority populations as hard to reach. We classified attributes of hardly reached groups into cultural/environmental, individual, and demographic domains. Of the 334 identified studies, 78.74% used attributes that were classified into the cultural/environmental, 74.85% the individual, and 50% the demographic domain to identify those hardly reached. Of all possible combinations of domains, the most common was the use of all three domains (28.74%). Overall, papers were more likely to use attributes to identify their hardly reached population that fell into more than one domain (74.85%) compared to only one domain (25.15%; χ(2), p < .0001). Through this review, we identified the attributes of those who have been identified as hardly reached in published research. No single attribute is used to identify those who are hardly reached. This reflects a socioecological perspective, emphasizing that both intrapersonal and external elements may cause interventions to fail to reach those intended. Moreover, the focus not on populations hardly reached but on the attributes of those hardly reached suggests objectives for interventions to reach them better.

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.

Is there a role for pharmacists in multidisciplinary health-care teams at community outreach events for the homeless?

Homelessness is a significant public health problem. It is well-documented that people experiencing homelessness exhibit more serious illnesses and have poorer health than the general population. The provision of services and interventions by health-care professionals, including pharmacists, may make a simple yet important contribution to improved health outcomes in those experiencing homelessness, but evidence of roles and interventions is limited and variable. In Australia, the Queensland University of Technology Health Clinic connects with the homeless community by taking part in community outreach events. This paper provides details of one such event, as well as the roles, interventions and experiences of pharmacists. Participation and inclusion of pharmacists in a multidisciplinary health-care team approach at homeless outreach events should be supported and encouraged.