Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 Steps cohort

An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients

If scientific research on modifiable risk factors was more accessible to the general population there is a potential to prevent disease and promote health. Mobile applications can automatically combine individual characteristics and statistical models of health to present scientific information as individually tailored visuals, and thus there is untapped potential in incorporating scientific research into apps aimed at promoting healthier lifestyles. As a proof-of-concept, we develop a statistical model of the relationship between Self-rated-health (SRH) and lifestyle-related factors, and a simple app for conveying its effects through a visualisation that sets the individual as the frame of reference. Using data from the 6th (n = 12 981, 53.4% women and 46.6% men) and 7th (n = 21 083, 52.5% women and 47.5% men) iteration of the Tromsø population survey, we fitted a mixed effects linear regression model that models mean SRH as a function of self-reported intensity and frequency of physical activity (PA), BMI, mental health symptoms (HSCL-10), smoking, support from friends, and HbA1c ≥ 6.5%. We adjusted for socioeconomic and demographic factors and comorbidity. We designed a simple proof-of-concept app to register relevant user information, and use the SRH-model to translate the present status of the user into suggestions for lifestyle changes along with predicted health effects. SRH was strongly related to modifiable health factors. The strongest modifiable predictors of SRH were mental health symptoms and PA. The mean adjusted difference in SRH between those with 10-HSCL index = 1.85 (threshold for mental distress) and HSCL-10 = 1 was 0.59 (CI 0.61-0.57). Vigorous physical activity (exercising to exhaustion ≥ 4 days/week relative to sedentary) was associated with an increase on the SRH scale of 0.64 (CI 0.56-0.73). Physical activity intensity and frequency interacted positively, with large PA-volume (frequency ⨯ intensity) being particularly predictive of high SRH. Incorporating statistical models of health into lifestyle apps have great potential for effectively communicating complex health research to a general audience. Such an approach could improve lifestyle apps by helping to make the recommendations more scientifically rigorous and personalised, and offer a more comprehensive overview of lifestyle factors and their importance.

Engagement with three or more healthy lifestyle behaviours is associated with improved quality of life over 7.5 years in people with multiple sclerosis

BACKGROUND AND PURPOSE

People with multiple sclerosis (pwMS) report reduced quality of life (QoL). Engagement with healthy lifestyle behaviours, including consuming a healthy diet, regular physical activity, and adequate vitamin D exposure, is associated with higher QoL. We aim to assess whether individual lifestyle behaviours are more beneficial to QoL than others, and whether there are additive benefits to QoL by engaging in multiple healthy behaviours concurrently.

METHODS

Data from pwMS who completed an online survey at baseline, and at 2.5-, 5- and 7.5-year follow-up, were analysed. Behaviours assessed were consumption of a no-meat/dairy-plus-omega-3 supplementation diet, meditation practice, physical activity, non-smoking, and vitamin D exposure. Mental QoL (mQoL) and physical QoL (pQoL) were assessed by the Multiple Sclerosis Quality of Life (MSQOL-54) questionaire. Linear regression analyses were performed to assess associations of individual behaviours at baseline and follow-up time points with QoL, as well as between number of behaviours and QoL.

RESULTS

At baseline, healthy diet and regular physical activity were associated with higher mQoL (5.3/100 and 4.0/100) and higher pQoL (7.8/100 and 6.7/100). Prospectively, diet was positively associated with mQoL, and physical activity with both mQoL and pQoL. At baseline, engagement with ≥3 behaviours was positively associated with mQoL and pQoL, with additive positive associations for each additional behaviour. Prospectively, engagement with ≥3 behaviours was positively associated with mQoL and pQoL, with strongest associations observed with engagement with five behaviours.

CONCLUSION

Consumption of a healthy diet, and regular physical activity, are both potential interventions to improve QoL. Engagement with multiple lifestyle behaviours may provide additional benefits and should be encouraged and supported for multiple sclerosis management.

Apathy as a determinant of health behaviors in older adults: Implications for dementia risk reduction

INTRODUCTION

Long-term improvements in physical inactivity and other behavioral risk factors are integral to dementia risk reduction; however, sustained behavior change is challenging. Apathy, depression, and fatigue may impact engagement in health behaviors, but their presentation overlaps. This study investigates whether these symptoms are differentially associated with multiple health behaviors.

METHODS

In 1037 community-dwelling older adults without dementia (aged 70-90, 55% women), regression analyses examined apathy, depression, and fatigue as predictors of health behaviors (physical activity, diet, alcohol, smoking) and a behavioral risk index.

RESULTS

Apathy was associated with reduced physical activity and alcohol use, and one or multiple behavioral risk factors. No or inconsistent relations were found between depression or fatigue and health behaviors.

DISCUSSION

Apathy is relevant to multiple health behaviors and should be considered when designing health promotion for older adults, including interventions for dementia risk reduction. Findings highlight the importance of distinguishing apathy from comorbid symptoms.

Highlights

Novel theory-based perspective on behavioural risk factors for dementia.Higher apathy predicted less physical activity and alcohol use, and increased odds of lifestyle risk factors.Depressive symptoms were not associated with any health behavior.Apathy may be a determinant of multiple health behaviors in older adults, distinct from depression and fatigue.Considering apathy in precision prevention of dementia appears warranted.

Association of secondhand smoke exposure and health-related lifestyle behaviors among male university employees in Japan

Secondhand smoke (SHS) exposure causes various health problems associated with an unhealthy lifestyle. However, the lifestyles of individuals exposed to SHS have not been characterized extensively. Therefore, this cross-sectional study aimed to investigate the association between SHS exposure and lifestyle behaviors. The participants were 2379 healthy male employees at Osaka University who underwent health examinations. Physical and biochemical parameters and lifestyle behavior data were obtained from all the participants. Participants with SHS exposure had significantly higher body mass index, waist circumference, and serum levels of triglycerides and uric acid than that of those without SHS exposure. SHS exposure was significantly correlated with several lifestyle behaviors, including TV time, frequency of breakfast consumption and fried food consumption, vegetable and fruit intake, alcohol consumption frequency and daily alcohol intake, and smoking status. Thus, SHS exposure may be associated with an unhealthy lifestyle. The lifestyle behaviors of the smoke-excluded population were assessed further; however, SHS exposure was still associated with dietary and drinking habits. Since participants with SHS exposure are likely to have an unhealthy life and combined unhealthy lifestyle behaviors, the confounding effect of these factors should be considered when assessing the impact of SHS exposure on health.

Sleep Duration, Sleep Quality, and Insomnia in Association With Self-Rated Health: A Systematic Review and Meta-Analysis

Background and Objective This study undertook a systematic review and meta-analysis of the relationship between sleep duration, sleep quality, and insomnia in association with self-rated health.Methods Studies that had examined the relationship between sleep duration, sleep quality, and insomnia with self-rated health were eligible. PubMed and Scopus were the two main databases for searching for studies related to this meta-analysis. The Google Scholar database as a source of gray literature was also searched by hand. This search was from the beginning of the formation of databases until the end of January 2022, and the search language was limited to articles published in English. The Effective Public Health Practice Project Quality Assessment Tool was used to assess the quality of studies. For this meta-analysis, odds ratio and 95% confidence interval were extracted or calculated. The pool of studies was processed by the random effects method.Results Twenty-six studies were included in this meta-analysis. Sleep duration of ≤ 8 hours per day (h/d) (odds ratio = 1.58 and 95% confidence interval = [1.41–1.77]) and sleep duration of > 8 h/d (odds ratio = 1.32 and 95% confidence interval = [1.17–1.50]) are associated with poor self-rated health. Poor sleep quality and insomnia are associated with poor self-rated health. Conclusions Sleep problems have a negative effect on self-rated health, and therefore, effective interventions can help improve sleep.

Associations of lifestyle with mental health and well-being in Chinese adults: a nationwide study

Background

A healthy lifestyle is beneficial to individuals' health. However, little is known about the associations of lifestyle factors with mental health and well-being. This study examined the associations of lifestyle factors with mental health (i.e., depression, anxiety, loneliness, perceived pressure, and self-rated health status) and well-being in Chinese adults.

Methods

A nationally representative survey was conducted in China from 20 June 2022 to 31 August 2022. Data from the survey were analyzed using multiple linear regression to determine the associations of lifestyle with mental health and well-being in Chinese adults. Standardized regression coefficients (β) and 95% confidence intervals (CIs) were estimated using multiple linear regression.

Results

The survey included 28,138 Chinese adults. Multiple linear regression results showed that there were significant negative associations of lifestyle scores with scores of depression (β = -0.93, 95% CI: -0.98, -0.88), anxiety (β = -0.71, 95% CI: -0.76, -0.67), loneliness (β = -0.23, 95% CI: -0.24, -0.21), and perceived pressure (β = -0.19, 95% CI: -0.22, -0.16). Moreover, there were significant positive associations of lifestyle with self-rated health status (β = 1.99, 95% CI: 1.79, 2.20) and well-being (β = 0.96, 95% CI: 0.91, 1.02).

Conclusion

This study provides insight into the associations of lifestyle factors with mental health and well-being and highlights the importance of improving and maintaining healthy lifestyle behaviors for favorable mental health and well-being.

Training and retention effects of paced and music-synchronised walking exercises on pre-older females: an interventional study

BACKGROUND

Physical activity at pre-older ages (55-64 years) can greatly affect one's physical fitness, health, physical-activity behaviour, and quality of life at older ages. The objective of this study was to conduct a 24-week walking-exercise programme among sedentary pre-older females and investigate the influence of different walking cadences on cardiorespiratory fitness and associated biomarkers.

METHODS

A total of 78 pre-older sedentary female participants were recruited and randomly assigned to normal (n = 36), paced (n = 15), music-synchronised (n = 15) walking, and no-exercise control (n = 12) groups, respectively. The normal, paced, and music-synchronised walking groups walked at a cadence of 120 steps/min, 125 steps/min, and 120-128 steps/min, respectively, under supervised conditions. Anthropometric characteristics, step length, nutrient intake, blood pressure and composition, and cardiorespiratory fitness were measured at baseline, the 12th week of the programme, the 24th week of the programme (completion), and after a 12-week retention period, which began immediately upon completion of the programme and did not feature any supervised exercises.

RESULTS

All walking conditions improved high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, step length, maximum oxygen consumption (VO₂max), and oxidative capacity at anaerobic threshold (all P < 0.001); however, after the 12-week retention period only the training effects of HDL-C (P < 0.05) and VO₂max (P < 0.05) remained robust. Additionally, music-synchronised walking was found to reduce the fat ratio (P = 0.031), while paced walking was found to reduce body mass (P = 0.049).

CONCLUSIONS

The significant pre-post changes in health-related outcomes across the 24-week walking intervention, including improved blood composition, longer step length, and better cardiorespiratory capacity, show that this intervention is promising for improving health and fitness. When, during the retention period, the participants resumed their usual lifestyles without supervised exercise, most physiological biomarkers deteriorated. Thus, for sedentary middle-aged females, persistent behavioural change is necessary to retain the health benefits of physical exercise.

The relationship between the high-risk disordered eating and social network navigation among Saudi college females during the COVID pandemic

Background

Disordered eating behaviors (DEBs) are complex health issues that may lead to negative physical and mental health outcomes among college students. More studies should be directed toward the screening of DEBs. This study aimed to determine the prevalence of DEBs among Saudi female university students and their association with social networking site (SNSs) usage and composite lifestyle behaviors during the unprecedented period of COVID-19.

Methods

This cross-sectional study included 445 females recruited using stratified random sampling. The participants self-reported demographic, social, medical, and lifestyle data and completed the validated Arabic version of the Eating Attitudes Test-26, Social Networking Sites (SNSs) Usage Questionnaire, Bergen Social Media Addiction Scale, and Body Shape Questionnaire.

Results

The prevalence of DEBs was 27.2% among the female students at Taif University. From the pre-pandemic period until the current time, the DEBs-risk group had a significantly higher SNS navigation rate (36.4%) than the normal group (20.4%) (X ² = 30.015, p = 0.001). The regression analysis revealed that females with a significant body image concern, higher number of SNSs friends, and frequent visits to SNSs, and those seeking social-dependent information in relation to weight loss/dieting were more likely to develop DEBs (Overall Model: Chi-Square X ² = 158.071, p < 0.000^**).

Conclusions

SNSs usage and DEBs were associated during the COVID-pandemic. However, the composite lifestyle score did not demonstrate a significant association with DEBs among the female students at Taif University. Investigating the magnitude of DEBs and understanding the role of SNS are essential for preventing disordered eating among young females.

Eat, sleep, play: health behaviors and their association with psychological health among cancer survivors in a nationally representative sample

BACKGROUND

Cancer survivors are able to live much longer today than in the past due to advances in treatment. The promotion of health behaviors is important to address among cancer survivors. Not only can health behaviors reduce the risk of comorbidities, but they may also be key to improving psychological health among cancer survivors, such as psychological distress, perceptions of one's general health, and distress of cancer mortality (i.e., cancer fatalism). Our overall goal is to 1) determine which individual health behaviors (e.g., fruit consumption, physical activity, and sleep) are associated with psychological health among cancer survivors and 2) determine if the number of health behaviors engaged in is associated with better psychological health among cancer survivors.

METHODS

Using data from the HINTS 5 Cycle III survey (N = 856 cancer survivors), we compared whether participants who met guidelines for seven health behaviors (e.g., fruit and vegetable consumption, moderate physical activity, sleep duration) had improved psychological health. Multiple ordinal regression models controlling for sociodemographic variables were used to determine if meeting more recommendations was related to psychological health and then specifically which behaviors were of greatest importance to psychological health.

RESULTS

Meeting guidelines for sleep quality and moderate physical activity was associated with higher general health and meeting guidelines for vegetable intake and better sleep quality was associated with less psychological distress. Although the associations were not significant, cancer survivors who met more of the health behavior guidelines reported higher general health, lower psychological distress, and less distress about what could be done to lower one's chances to get cancer.

CONCLUSIONS

Meeting the guidelines for individual and multiple health behaviors is associated with favorable psychological health among cancer survivors. The findings can contribute to the development of health behavior interventions that focus on multiple health behaviors to improve psychological health and quality of life among cancer survivors.

Clustering of health behaviors among Japanese adults and their association with socio-demographics and happiness

Background

Scholars have associated happiness with health behaviors, which co-occur and exert synergistic effects. Therefore, identifying clusters of health behaviors and their effect on happiness can contribute to the development of strategies for promoting happiness and improving health behaviors.

Aim

This study aimed to examine clusters of health behaviors and their associations with socio-demographics and with happiness among Japanese adults.

Methods

This study used data from the Japanese Household Panel Survey and the Keio Household Panel Survey. Questionnaires were distributed to 4,993 households out of which 1,554 responses were analyzed (participants aged 27−65 years). The survey included health behaviors (alcohol consumption, smoking, vegetable and fruit consumption, breakfast-eating habits, and physical activities), happiness, and socio-demographics. Latent class analysis was conducted to identify the clusters, whereas latent regression was employed to investigate socio-demographics related to the clusters. Logistic regression analysis was conducted to examine the relation between happiness and the clusters.

Results

Two health behavior clusters were identified: Cluster 1 (low substance use and good dietary habit; n = 817; 52.3%) and Cluster 2 (high alcohol, poor nutrition, and inactive; n = 737; 47.7%). Latent regression analysis indicated that all socio-demographics, barring socioeconomic status, were significantly associated with the clusters. The “low substance use and good dietary habit” cluster was significantly related with higher odds of happiness (odds ratio = 1.425, 95% confidence interval = 1.146−1.772, p = 0.001).

Conclusions

This study identified health behavior clusters among Japanese adults and established the association between the “low substance use and good dietary habit” cluster and high levels of happiness. However, the causality of the relationship between health behavior and happiness remains unclear, which highlights the need for further research to elucidate the underlying mechanisms.

Preliminary Effectiveness Study of a Community-Based Wellness Coaching for Cancer Survivors Program

Purpose: Substantial cancer burden may be prevented through lifestyle modifications. The purpose of this study was to determine the preliminary effectiveness of health coaching for the improvement of health, fitness, and overall well-being of cancer survivors in a community setting. Methods: Participants were recruited from Cancer Support Community Delaware locations. Health coaching was provided to people diagnosed with cancer anywhere along the survivorship continuum. Coaches provided 6 individual sessions. Surveys were sent pre- and post-intervention on topics including fitness, eating habits, sleep, perceived stress, anxiety, depression, and quality of life. Results were analyzed using multilevel modeling. Results: 48 participants completed an average of 85% of health coaching sessions. Coaching participants noted improvements in weekly physical activity frequency, including moderate–vigorous physical activity. Increases were found in healthy eating behavior. Participants reported improvements in the quality of their sleep, including changes in sleep duration and sleep efficiency. Significant reductions were found in perceived stress, anxiety, and depression. Importantly, participants reported improved quality of life, particularly in areas of physical and emotional well-being, as well as functional and total well-being. Conclusion: Preliminary findings indicate significant behavior change in measured outcomes and suggest health coaching may be an important tool for cancer survivorship.

Association Between Mental Health Outcomes and Changes in Lifestyle Behavior Index Among Saudi Adults 16 Weeks After COVID-19 Pandemic Lockdown Release

Background

The current (coronavirus disease 2019 [COVID-19]) pandemic is still uncontrolled with associated dramatic changes in daily lifestyle activities. Evidence for studying the impact of these health behavior changes on our mental health is limited. Therefore, this study aimed to estimate the prevalence of psychological distresses and assess their influence by the change in the composite lifestyle behaviors before the COVID-19 pandemic till 16 weeks after the lockdown release in Saudi Arabia.

Methods

This cross-sectional study was conducted between October 10 and 31, 2020 by posting an online survey on social media platforms (WhatsApp and Twitter) to collect data on participants' sociodemographic, lifestyle behaviors, and mental health aspects using a validated Arabic version of the short-form version of the Depression Anxiety Stress Scales-21 (DASS-21).

Results

A total of 363 responded to the questionnaire. The mean age was 36.26 ± 8.54 years, and 238 (65.6%) were men. Depression, stress, and anxiety were reported in 37.5, 26.7, and 16.5% of the participants, respectively. Negative lifestyle behavioral changes were significantly associated with stress and anxiety (p < 0.05). Logistic regression revealed that financial distress and history of psychiatric illnesses were common significant factors for developing the psychological distresses.

Conclusion

Throughout the post-lockdown stage of the COVID-19 outbreak in Saudi Arabia, there was an evidence of psychological distresses among the adults. Negative health-related changes are directly linked with increased psychological distress. Effective health promotion strategies directed toward adopting and maintaining positive change in the composite health behaviors are crucial.

The Discrepancy between Knowledge of Sleep Recommendations and the Actual Sleep Behaviour of Australian Adults

Introduction: Inadequate sleep is a major public health concern, with large economic, health, and operational costs to Australia. Despite the implementation of public sleep health campaigns, approximately 40% of Australian adults do not obtain the recommended 7-9 hours of sleep. Thus, while people may know how much sleep is required, this knowledge may not be adequately translated to actual sleep behavior. Consequently, this study aims to examine the discrepancy between knowledge of sleep recommendations and self-reported sleep behaviors.Methods: A sample of 1265 Australian adults (54% female, aged 18-65) completed a phone interview as part of the 2017 National Social Survey and were asked questions about their knowledge of sleep guidelines and their actual sleep behavior. Binary logistic regression was used to determine the factors associated with awareness of sleep recommendations and whether this corresponded with reported sleep duration.Results: The final sample size was 998. Although 94% of the sample were aware of current sleep recommendations, 23% of participants did not self-report regularly obtaining 7-9 h sleep per night. These participants were less likely to want to obtain more sleep, less likely to view sleep as a priority before stressful events, and less likely to self-report good health.Conclusion: Although a majority of the sample were aware of sleep recommendations, almost a quarter of the participants' behavior did not align with their knowledge. Future sleep health campaigns should consider options beyond education, including emphasis on practical strategies and modifiable lifestyle factors to assist individuals to obtain the recommended amount of sleep.

Toward a multi-lingual diagnostic tool for the worldwide problem of sleep health: The French RU-SATED validation

INTRODUCTION

Sleep health is "a multidimensional pattern of sleep-wakefulness, adapted to individual, social, and environmental demands, that promotes physical and mental well-being". The RU-SATED is a short practical self-reported symptom scale that is a reliable valid tool for the rapid evaluation of sleep health. This study sought to examine the psychometric validity of the French version.

METHODS

We conducted an observational cross-sectional study. All professionals working in Bordeaux University Hospital were asked to answer an internet-based questionnaire assessing sleep, mental and physical health outcomes. Sleep health was measured using the French RU-SATED scale obtained by a rigorous reverse translation process. Psychometric validity included factor structure, internal structural validity, concurrent validity and external validity of the measure, with sleep, mental and physical health outcomes.

RESULTS

A total of 1,562 participants were included with 80.5% of women and a mean age of 40.0 (±11.2). Sleep health was within the average range (M = 8.2, SD = 2.4) on the RU-SATED. Confirmatory factor analyses showed acceptable model fit measures. Cronbach's alpha coefficient was 0.57 and ranged from 0.46 to 0.58 when removing each item. The correlation between items with the overall corrected scores ranged from 0.19 to 0.43. The "Efficiency" item showed poor psychometric properties. Most items were highly correlated with their appropriate sleep outcome. All items showed a strong association with positive mental and physical health outcomes.

DISCUSSION

The French RU-SATED scale is a reliable valid tool for measuring sleep health in adults. Nevertheless, future studies should better evaluate the reliability and validity of the "Efficiency" item. It is also important to explore how the RU-SATED can be used to evaluate the impact of sleep hygiene strategies in promoting public health in accordance with models of sleep behavior change.

Lifestyle factors in patients with rheumatoid arthritis-a cross-sectional study on two Scandinavian cohorts

INTRODUCTION

The risk for cardiovascular diseases and other comorbidities increases with the number of unhealthy lifestyle factors in the general population. However, information on the combined number of unhealthy lifestyle factors in people with rheumatoid arthritis (RA) is scarce.

OBJECTIVES

To study lifestyle factors and the association between disease impact and two or more unhealthy lifestyle factors in two Scandinavian cohorts with RA.

METHODS

We analysed data from two cohorts, Danish (n = 566; mean age 61.82 (SD 11.13) years; 72% women) and Swedish (n = 955; mean age 66.38 (SD 12.90) years; 73% women). Lifestyle factors (tobacco use, BMI, alcohol consumption and physical activity) were dichotomised as healthy vs. unhealthy (range 0-4 unhealthy factors). The association between disease impact and two or more unhealthy lifestyle factors was analysed using logistic regression.

RESULTS

Sixty-six percent of Danish and 47% of Swedish respondents reported two or more unhealthy lifestyle factors, most commonly, being overweight/obese and physical inactivity. For Danish participants, two or more unhealthy lifestyle factors were associated with (OR and 95% CI) male gender (1.86; 1.21-2.85), cardiovascular diseases (1.90; 1.28-2.82) and disease duration (0.97; 0.95-0.99). Corresponding findings for the Swedish cohort were male gender (1.42; 1.07-1.89), pain (1.10; 1.04-1.15), fatigue (1.09; 1.04-1.15), physical functioning (1.64; 1.28-2.10) and quality of life (0.35; 0.20-0.60).

CONCLUSION

Many patients, most often male, in both cohorts had two or more unhealthy lifestyle factors. The number of unhealthy lifestyle factors indicates a multifaceted relationship with disease impact.

A Smartphone-Based Chemosensor to Evaluate Antioxidants in Agri-Food Matrices by In Situ AuNP Formation

In recent years, there has been a continuously growing interest in antioxidants by both customers and food industry. The beneficial health effects of antioxidants led to their widespread use in fortified functional foods, as dietary supplements and as preservatives. A variety of analytical methods are available to evaluate the total antioxidant capacity (TAC) of food extracts and beverages. However, most of them are expensive, time-consuming, and require laboratory instrumentation. Therefore, simple, cheap, and fast portable sensors for point-of-need measurement of antioxidants in food samples are needed. Here, we describe a smartphone-based chemosensor for on-site assessment of TAC of aqueous matrices, relying on the antioxidant-induced formation of gold nanoparticles. The reaction takes place in ready-to-use analytical cartridges containing an hydrogel reaction medium preloaded with Au(III) and is monitored by using the smartphone's CMOS camera. An analytical device including an LED-based lighting system was developed to ensure uniform and reproducible illumination of the analytical cartridge. The chemosensor permitted rapid TAC measurements of aqueous samples, including teas, herbal infusions, beverages, and extra virgin olive oil extracts, providing results that correlated with those of the reference methods for TAC assessment, e.g., oxygen radical absorbance capacity (ORAC).

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

BACKGROUND

Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions.

PURPOSE

To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder.

METHODS

Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40-65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet "app" to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups.

RESULTS

Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group.

CONCLUSIONS

PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality.

CLINICAL TRIAL INFORMATION

Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

Capability, opportunity, and motivation: an across contexts empirical examination of the COM-B model

BACKGROUND

There is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity.

METHODS

A cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult's eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18-35 years. Models were specified and tested using structural equation modelling.

RESULTS

A total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model (N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model (N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators.

CONCLUSIONS

Findings support the COM-B model's explanatory potential in the context of young adult's physical activity and eating behaviours. Barriers and enablers underlying young adult's physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.

Dietary Plant Polyphenols: Effects of Food Processing on Their Content and Bioavailability

Dietary plant polyphenols are natural bioactive compounds that are increasingly attracting the attention of food scientists and nutritionists because of their nutraceutical properties. In fact, many studies have shown that polyphenol-rich diets have protective effects against most chronic diseases. However, these health benefits are strongly related to both polyphenol content and bioavailability, which in turn depend on their origin, food matrix, processing, digestion, and cellular metabolism. Although most fruits and vegetables are valuable sources of polyphenols, they are not usually consumed raw. Instead, they go through some processing steps, either industrially or domestically (e.g., cooling, heating, drying, fermentation, etc.), that affect their content, bioaccessibility, and bioavailability. This review summarizes the status of knowledge on the possible (positive or negative) effects of commonly used food-processing techniques on phenolic compound content and bioavailability in fruits and vegetables. These effects depend on the plant type and applied processing parameters (type, duration, media, and intensity). This review attempts to shed light on the importance of more comprehensive dietary guidelines that consider the recommendations of processing parameters to take full advantage of phenolic compounds toward healthier foods.

Associations between lifestyle behaviour changes and the optimal well-being of middle-aged Japanese individuals

BACKGROUND

Psychological well-being has been associated with reduced mortality rates in both healthy and diseased populations. However, there is considerably less evidence on the effect of lifestyle behaviours on positive health outcomes such as well-being. This study examines the association between lifestyle behaviours and optimal well-being.

METHODS

From a total of 4324 Japanese individuals who participated in an annual health check-up in 2017, this study recruited 2295 participants (mean age: 49.3 ± 8.4 years; female: 54.3%) without a history of cerebrovascular, cardiovascular, or chronic renal disease and not on medication for hypertension, diabetes, or dyslipidaemia. The World Health Organization-Five Well-Being Index (WHO-5) scores were compared to self-reported scores on each of the following items: dietary habits, physical activity, smoking, alcohol consumption, and sleep quality. Logistic regression analysis was used to examine the association between optimal well-being (the top quartile of WHO-5 scores) and individual lifestyle behaviours. The association between change in dietary habits and physical activity from 2016 to 2017 and optimal well-being was also investigated.

RESULTS

Good dietary habits and regular physical activity were associated with higher raw WHO-5 scores and were positively associated with optimal well-being after adjusting for age, sex, body mass index (BMI), and sleep quality. Raw WHO-5 scores were significantly higher in those who maintained good dietary and physical activity behaviours than in those who did not. Furthermore, maintaining regular physical activity for two years was positively associated with optimal well-being, after adjusting for age, sex, BMI, and sleep quality.

CONCLUSION

These results demonstrate that not only currently practising good dietary and physical activity behaviours but also maintaining such behaviours over time is associated with optimal well-being. Maintaining good lifestyle behaviours, particularly regarding physical activity, could potentially improve people's well-being.

Factors Associated With Health-Related Quality of Life Among Cancer Survivors in the United States

Background

With increasing prevalence of cancer survivors in the United States, health-related quality of life (HRQOL) has become a major priority. We describe HRQOL in a nationally representative sample of cancer survivors and examine associations with key sociodemographic, clinical, and lifestyle characteristics.

Methods

Cancer survivors, defined as individuals ever diagnosed with cancer (N = 877), were identified from the 2016 Medical Expenditure Panel Survey-Experiences with Cancer Survivorship Supplement, a nationally representative survey. Physical and mental health domains of HRQOL were measured by the Global Physical Health (GPH) and Global Mental Health (GMH) subscales of the Patient-Reported Outcomes Measurement Information System Global-10. Multivariable linear regression was used to examine associations of sociodemographic, clinical, and lifestyle factors with GPH and GMH scores. All statistical tests were 2-sided.

Results

Cancer survivors' mean GPH (49.28, SD = 8.79) and mean GMH (51.67, SD = 8.38) were similar to general population means (50, SD = 10). Higher family income was associated with better GPH and GMH scores, whereas a greater number of comorbidities and lower physical activity were statistically significantly associated with worse GPH and GMH. Survivors last treated 5 years ago and longer had better GPH than those treated during the past year, and current smokers had worse GMH than nonsmokers (all β > 3 and all P < .001).

Conclusions

Cancer survivors in the United States have generally good HRQOL, with similar physical and mental health scores to the general US population. However, comorbidities, poor health behaviors, and recent treatment may be risk factors for worse HRQOL. Multimorbidity management and healthy behavior promotion may play a key role in maximizing HRQOL for cancer survivors.

The association between subjective health perception and lifestyle factors in Shiga prefecture, Japan: a cross-sectional study

Background

The Ministry of Health has reported that in Japan, the Shiga prefecture has the highest life expectancy. Subjective health perception is a predictive indicator of mortality. For this study, we examined the association between subjective health perception and multiple lifestyle factors.

Methods

Data were obtained from the 2015 Health and Nutrition Survey in Shiga prefecture. The analytic sample comprised 6057 adults aged 20 or older. Information on subjective health perception and lifestyle behaviors was obtained from a self-administered questionnaire. As for subjective health perception, participants were divided into 2 groups: (1) Excellent or Good and (2) Average, Poor, or Very Poor. A 1-day dietary survey was also administered. The health behaviors score (HBS) was calculated based on 5 factors: consuming a healthy diet, never smoking, low-risk alcohol drinking, regular exercise, and moderate sleep duration. HBS scores ranged from 0 to 5. Multiple logistic regression was used to calculate the sex-, age- BMI- and energy intake-adjusted odds ratios (ORs) of poor subjective health across HBS, with 0 points as the reference.

Results

Among all participants, 2397 (39.6%) individuals were classified into the good subjective health group. Participants with an HBS of 3 (OR 0.59, 95% CI 0.37–0.96), 4 (OR 0.40, 95% CI 0.24–0.65) or 5 (OR 0.33, 95% CI 0.19–0.59) had a lower OR of rating themselves as being average/poor health compared with those having zero. The association with a higher HBS was remarkable (p for trend: < 0.001). Additional analyses revealed that the combinations including regular exercise were particularly associated with a lower risk of subjective average/poor health.

Conclusions

This study showed that the higher the number of healthy lifestyle factors, the lower risk of subjective average/poor health. Combinations of healthy lifestyle factors, especially those involving exercise, suggest good subjective health for individuals living in the Shiga prefecture.

Prevalence, clustering and combined effects of lifestyle behaviours and their association with health after retirement age in a prospective cohort study, the Nord-Trøndelag Health Study, Norway

Background

Lifestyle behaviours are potential risk factors for disease and mortality, but less is known about the association with health in retirement age. The aim of this paper was to study the prevalence, clustering and combined effects of lifestyle behaviours and their association with health outcomes in the first decade after retirement in a Norwegian cohort.

Methods

Participants were 55–64-year-olds at baseline in the Nord-Trøndelag Health Survey 2 (HUNT2, 1995–97) who also participated in HUNT3 (2006–08). Logistic regression analyses were used to investigate the association of daily smoking, physical inactivity, risky alcohol consumption, disturbed sleep duration, excessive sitting time and low social participation before retirement with self-rated health (n = 4022), life satisfaction (n = 5134), anxiety (n = 4461) and depression (n = 5083) after retirement, 11 years later.

Results

Low social participation and physical inactivity were the most prevalent lifestyle behaviours (41.1 and 40.6%). Risky alcohol consumption and disturbed sleep were the lifestyle behaviours most strongly associated with poor self-rated health, poor life satisfaction and anxiety after retirement (OR’s = 1.39–1.92). Physical inactivity was additionally associated with depression (OR = 1.44 (1.12–1.85)). Physical inactivity had the largest population attributable fractions for reducing poor self-rated health and depression (14.9 and 8.8%). An increasing number of lifestyle risk behaviours incrementally increased the risk for the adverse health outcomes.

Conclusions

Risky alcohol consumption and disturbed sleep duration were most strongly associated with poor health outcomes after retirement age. On a population level, increased physical activity before retirement had the largest potential for reducing adverse health outcomes after retirement age.

Relationship between multiple lifestyle behaviors and health-related quality of life among elderly individuals with prediabetes in rural communities in China: A STROBE-compliant article

Evidence of the effect of lifestyle behaviors on health-related quality of life (HRQoL) is scarce or ambiguous. The objective of the present study was to explore the associations between multiple lifestyle behaviors and HRQoL among the elderly individuals with prediabetes.Four hundred thirty-four elderly individuals with prediabetes were included in this cross-sectional study. The Medical Outcomes Study 36-Item Short Form Health Survey Questionnaire (SF-36) was used to assess HRQoL. Multiple lifestyle behaviors, including smoking, alcohol consumption, physical activity, dietary habits, daily sedentary time and sleep duration were self-reported. The associations between HRQoL and multiple lifestyle behaviors were examined using a multivariate linear regression analysis.Lower-risk physical activities (β =3 .19, 95% CI: 1.32, 5.64), dietary habits (β = 2.60, 95% CI: 1.50, 4.72), and sedentary time (β = 2.49, 95% CI: 1.21, 4.81) were positively associated with the physical health component score (PCS) for HRQoL. Meanwhile, a lower-risk behavior, such as sleep duration (β = 2.64, 95% CI: 1.77, 4.51), was associated with a higher mental health component score (MCS) for HRQoL after adjusting for socio-demographic factors, chronic diseases, anthropometric data and all other lifestyle behaviors. Engaging in a greater number of lower-risk lifestyle behaviors was positively correlated with a better HRQoL.Multiple lifestyle behaviors were associated with HRQoL among the elderly individuals with prediabetes in rural areas. These results highlight the need for multiple lifestyle behavioral interventions to maintain and improve HRQoL in the elderly individuals with prediabetes.

Dietary Patterns and Health Outcomes among African American Maintenance Hemodialysis Patients

The association between dietary patterns and health outcomes, such as quality of life (QOL), in maintenance hemodialysis (MHD) patients with certain racial backgrounds has not been studied in detail. QOL is a powerful outcome measure in which dietary patterns could be a modifying factor. This study is a secondary analysis examining the association between dietary patterns and health outcomes in 101 African American (AA) maintenance hemodialysis (MHD) patients participating in the Palm Tocotrienols in Chronic Hemodialysis (PATCH) study. Quality of life (QOL) was assessed using the Kidney Disease Quality of Life 36-item survey (KDQOL-36™). Blood samples were analyzed for lipids, lipoprotein subfractions, and inflammatory markers. Food intake was measured using six non-consecutive 24-h dietary recalls over 15 months. Implausible energy intake reports were screened out by comparing reported energy intake (rEI) with predicted total energy expenditure (pTEE). Cluster analysis, using the k-means algorithm, identified two distinct dietary patterns in the study population: a high “sugar sweetened beverage” pattern (hiSSB) and a low “sugar sweetened beverage pattern” (loSSB). In the hiSSB group, consumption of SSB accounted for ~28% of energy intake, while SSB represented only 9% of energy intake in the loSSB group. The hiSSB group was characterized by a higher intake of total calories, sugar and percentage of kilocalories from carbohydrates, whereas the percentage of kilocalories from protein and fat was lower. While additional micronutrient intakes differed between groups (vitamin C, zinc, chromium), these were significantly lower than recommended values in the entire cohort. Patients in the hiSSB group presented with lower high-density lipoprotein cholesterol (HDL-C), lower large HDL particles and smaller low density lipoprotein (LDL) particle diameters. Antidepressant usage was significantly higher in the hiSSB group. Patients in the hiSSB group scored lower across all five KDQOL domains and scored significantly lower in the mental composite domain. MHD patients following a hiSSB dietary pattern had smaller dense LDL particles, lower HDL-C, and a lower QOL. Suboptimal intakes of fruits, vegetables, and grains as well as key micronutrients were evident in both patterns.

Gait asymmetry and variability in older adults during long-distance walking: Implications for gait instability

BACKGROUND

Physical exercise, such as walking, is imperative to older adults. However, long-distance walking may increase walking instability which exposes them to some fall risks.

OBJECTIVE

To evaluate the influence of long-distance walking on gait asymmetry and variability of older adults.

METHOD

Sixteen physically active older adults were instructed to walk on a treadmill for a total of 60 min. Gait experiments were conducted over-ground at the baseline (before treadmill-walk), after first 30 min (30-min) and second 30 min (60-min) of the walk. In addition to spatiotemporal parameters, median absolute deviation of the joint angular velocity was measured to evaluate gait asymmetry and gait variability.

FINDINGS

There were significant differences in the overall asymmetry index among the three time instances (Partial η² = 0.77, p < .05), predominantly contributed by the ankle (Partial η² = 0.31, p < .017). Long-distance walking significantly increased the average and maximum median absolute deviation of the ankle at both sides (W ≥ 0.19, p < .05), and knee at the non-dominant side (W = 0.44, p < .05).

INTERPRETATION

At 30-min, the older adults demonstrated a significantly higher asymmetry and variability at the ankle, which implied higher instability. Continue walking for an additional 30 min (60-min) further increased variability of the non-dominant limb at the knee joint. Walking for 30 min or more could significantly reduce walking stability.

Physical Activity, Sleep and Quality of Life in Older Adults: Influence of Physical, Mental and Social Well-being

Introduction: Physical activity and sleep quality have been consistently associated with quality of life (QOL) in a number of clinical and non-clinical populations. However, mechanisms underlying this relationship are not well understood. The purpose of this study was to longitudinally test a model examining how changes in physical activity and sleep quality, predict physical, mental and social well-being and global QoL across a 6-month exercise trial in a sample of healthy older adults. Methods: Participants (N = 247, mean age 65.4 ± 4.6) wore an accelerometer to assess objective levels of physical activity and completed measures of sleep, physical and mental well-being, social well-being and QOL at baseline and following a 6-month physical activity intervention. Relationships among model constructs were examined over time using panel analysis within a covariance-modeling framework. Results: The hypothesized model provided a good model-data fit (χ² = 58.77, df = 41, p = .036); CFI = 0.98; SRMR = 0.05; RMSEA = 0.04). At both time-points, physical activity and sleep quality were significantly correlated. Sleep quality indirectly influenced QOL via physical, mental and social well-being (QOL R² = .47, p < .001). These relationships were also supported across time at month 6 (QOL R² = .50, p < .001). Neither physical activity nor sleep quality directly influenced QOL. Conclusion: Our results support a novel sleep and QOL model that may inform the design of health interventions to promote sleep quality, and thereby influencing QOL by targeting physical activity and modifiable mediators of physical, mental and social health. Our findings may have significant implications for older adults as well as clinical populations that report compromised sleep, impaired health related and global QOL.

Time trends in healthy lifestyle among adults in Germany: Results from three national health interview and examination surveys between 1990 and 2011

BACKGROUND

The combined impact of multiple healthy behaviors on health exceeds that of single behaviors. This study aimed to estimate trends in the prevalence of a healthy lifestyle among adults in Germany.

METHODS

A data set of 18,058 adults aged 25-69 years from three population-based national health examination surveys 1990-92, 1997-99 and 2008-11 with complete information for five healthy behavior factors was used. A 'daily intake of both fruits and vegetables, 'sufficient physical exercise', 'no current smoking' and 'no current risk drinking' were assessed with self-reports and 'normal body weight' was calculated based on measured body weight and height. A dichotomous 'healthy lifestyle' indicator was defined as meeting at least four out of five healthy behaviors. Age-standardized prevalence was calculated stratified by sex, age groups (25-34, 35-44, 45-54 and 55-69 years) and education level (low, medium and high). Trends were expressed in relative change (RC) between 1990-92 and 2008-11.

RESULTS

In Germany, the overall prevalence of healthy lifestyle increased from 9.3% in 1990-92 to 13.5% in 1997-99 and to 14.7% in 2008-11 (RC: +58.1%). The prevalence increased among men and women and in all age groups, with the exception of men aged 45-54 years. The RC of increasing healthy lifestyle prevalence between 1990-92 and 2008-11 was stronger albeit on a higher level among women compared to men. Therefore, the gender difference in healthy lifestyle has increased, but age-related differences have overall decreased in this period. Among high educated men the prevalence of a healthy lifestyle increased between 1990-92 and 2008-11 from 10.6% to 16.3% (p = 0.01) and among high educated women from 16.4% to 30.3% and also among medium educated women (10.9 to 16.6, p<0.01), but no significant increase in healthy lifestyle prevalence was observed among men with low and medium education and among women with low education level.

CONCLUSIONS

The prevalence of a lifestyle with at least four out of five healthy behaviors markedly increased from 1990-92 to 2008-11. Nevertheless, additional health promotion interventions are needed to improve the number of combined healthy behavior factors and the awareness in the population that each additional healthy behavior factor leads to a further improvement in health, especially in men in the age-range 45 to 54 years, and among persons with low education level.

Resistance training in addition to aerobic activity is associated with lower likelihood of depression and comorbid depression and anxiety symptoms: A cross sectional analysis of Australian women

The mental health benefits of resistance training (RT) alone or beyond those provided by aerobic physical activity (PA) are unclear. This study aimed to determine the association between meeting recommendations for aerobic PA and/or RT, and symptoms of depression and/or anxiety. Participants were Australian female members of the 10,000 Steps project (n = 5180, 50.0 ± 11.5 years). Symptoms of depression and anxiety were determined using the Depression Anxiety Stress Score. Participants were grouped as 'depression only', 'anxiety only', 'co-occurring depression and anxiety' or 'neither depression nor anxiety' based on relevant subscale score (cut-points: depression≥14 points, anxiety≥10 points). The International Physical Activity Questionnaire-Long Form questionnaire was used to determine PA with an additional item to specify RT frequency. Participants were classified as adhering to 'aerobic PA only' (≥150 min PA/week), 'RT only' (RT ≥ 2 days/week), 'aerobic PA + RT' (≥150 min PA/week+RT ≥ 2 days/week), or 'neither aerobic PA nor RT' (<150 min PA/week+RT < 2 days/week). Adjusted relative risk ratios (RRR [95%CI]) were estimated using multinomial logistic regression models. Relative to the 'neither PA nor RT' (n = 2215), the probabilities of 'depression only' (n = 317) and 'co-occurring depression and anxiety' (n = 417) were lower for the 'aerobic PA only' (n = 1590) (RRR = 0.74 [0.56-0.97] and RRR = 0.76 [0.59-0.97] respectively), and 'both PA + RT' (n = 974) groups (RRR = 0.61 [0.43-0.86] and RRR = 0.47 [0.33-0.67] respectively). There were no associations between adhering to one or both recommendations and 'anxiety only' (n = 317), or between 'RT only' (n = 401) and depression and/or anxiety. Prevention and treatment strategies including both aerobic PA and RT may provide additional benefits for depression with or without comorbid anxiety.

Impact of sleep health on self-perceived health status

Although sleep habits have long been recognized as a promoter of health, the World Health Organization 2014 report on non-communicable diseases (NCDs) only listed smoking, alcohol intake, diet and physical activity (PA) as key modifiable risk factors that could enhance health and prevent NCDs. Cross-sectional data on 4385 surveys from the 2015 Catalan Health Survey, representative of the 2015 non-institutionalized Catalan population over age 14, were used to assess and compare the independent associations of low PA (International Physical Activity Questionnaire (IPAQ): low activity); poor diet (PREvención con DIeta MEDiterránea questionnaire (PREDIMED): low-adherent); poor sleep health (Satisfaction, Alertness, Timing, Efficiency and Duration scale (SATED): <8); smoking status; and, alcohol intake (high-risk drinker based on standard drink units) with having a poor self-perceived health status. Logistic regression models adjusted by age, gender, education level and number of comorbidities showed that poor sleep health had the strongest independent association with poor self-perceived health status (OR = 1.70; 95%CI: 1.37–2.12), followed by poor diet (OR = 1.37; 95%CI: 1.10–1.72) and low PA (OR = 1.31; 95%CI: 1.01–1.69). This suggests that sleep habits should be included among the important modifiable health risk factors and be considered a key component of a healthy lifestyle.

Lifestyle determinants of behavioural outcomes triggered by direct-to-consumer advertising of prescription medicines: a cross-sectional study

OBJECTIVE

Direct-to-consumer advertising of prescription medicines encourages individuals to search for or request advertised medicines, can stimulate taking medications rather than making lifestyle behaviour changes, and may target individuals with poorer demographic and socioeconomic status and riskier health-related behaviours. This study thus explored whether responses to medicine advertising vary as a function of lifestyle behaviours, and demographic and socioeconomic factors.

METHODS

Data were collected through an online survey of a nationally representative sample of 2,057 adults in New Zealand. Multivariate binary logistic regressions were used to explore whether lifestyle behaviours, including nutritional habits, alcohol consumption, illegal drug consumption, physical activity, attitudes towards doing exercise, as well as demographic and socioeconomic status were associated with self-reported behavioural responses to medicine advertising.

RESULTS

Individuals who had unhealthier lifestyle behaviours were more likely to respond to medicine advertising.

CONCLUSIONS

The findings raise concerns regarding the misuse or overuse of medications for diseases that may otherwise be improved by a healthier lifestyle. Implications for public health: To improve public health and wellbeing of society, we call for regulatory changes regarding advertising of medicines. Where applicable, lifestyle changes should be advertised as potential substitutes for the advertised medicines. Interprofessional collaboration is also recommended to educate individuals and convey the value of health behaviour changes.

Associations of health-behavior patterns, mental health and self-rated health

Diet quality, physical activity, alcohol use, smoking, sleep and sitting-time are behaviors known to influence health. The aims of this study were to identify how these behaviors co-occur to form distinct health-behavior patterns, and to investigate the relationship between these patterns, and mental and self-rated health. Members of the Australian 10,000 Steps project were invited to participate in an online survey in November-December 2011. The participants self-reported demographic and behavioral characteristics (fruit and vegetable intake, fast food, soft drink and alcohol consumption, smoking, physical activity, sitting-time and sleep), frequency of mental distress and self-rated health. Latent Class Analysis was used to identify health-behavior patterns. Latent class regression was used to examine relationships between behavior patterns, mental and self-rated health, and socio-demographic and economic factors. Data were analyzed in October 2017. Complete datasets were obtained from 10,638 participants. Four latent classes were identified, characterized by 'Low-Risk Behavior', 'Poor Sleep, Low-Risk Daytime Behavior', 'Sound Sleep, High-Risk Daytime Behavior' and 'High-Risk Behavior'. The latter two classes, both characterized by high-risk daytime behaviors, were associated with poor self-rated health. Participants in classes with high-risk daytime behaviors were more likely to be younger, non-partnered, non-university educated, from lower income households and work longer hours. Classes characterized by poor sleep quality were associated with higher frequency of mental distress. Findings suggest that experiencing poor sleep is partly independent of daytime behaviors, demographic and socioeconomic factors, but has a strong association with mental health.

The Prospective Association Between the Five Factor Personality Model With Health Behaviors and Health Behavior Clusters

To examine the prospective association of personality with individual behavior, multibehavior and clustered health behavior profiles. A prospective study design was employed. Two hundred young adults provided baseline data and 126 (mean age: 21.6 yrs) provide complete data for a 5-month follow-up assessment (63% response rate). Personality and health behaviors (and covariates) were assessed via validated questionnaires. A multibehavior index variable was created ranging from 0-5; two separate health behavior cluster indices were created, including high (4-5 behaviors) vs. low (2 or fewer) behavior adoption and an energy balance cluster (MVPA and diet). When examining MVPA as a continuous variable, the personality trait conscientiousness was prospectively associated with MVPA and a healthy diet. Extraversion was prospectively associated with high (vs. low) behavioral clustering (OR = 1.18; 95% CI: 1.00-1.40) and conscientiousness was prospectively associated with energy balance clustering (OR = 1.09; 95% CI: 1.01-1.17). Extraversion, conscientiousness, openness to experience, and agreeableness were associated with select health-related behaviors. Further, extraversion and conscientiousness were associated with health behavior clustering.

Effectiveness of interventions aiming at reducing sedentary behaviour in a non-surgical population with overweight or obesity: A systematic review and meta-analysis

AIM

This systematic review and meta-analyses of randomised controlled trials (RCTs) investigated the effectiveness of interventions to reduce sedentary behaviour amongst people with overweight or obesity. Secondarily, it aimed to investigate the effectiveness of these interventions on body mass index (BMI), time spent in moderate-to-vigorous physical activity (MVPA) and health-related quality of life (HRQoL).

METHODS

A search of six databases (CENTRAL, PubMed, Embase, PEDro, CINAHL and PsycINFO) was conducted from inception to July 2018. RCTs in which sedentary behaviour was measured by accelerometry or inclinometry, with participants of any age with overweight or obesity were included. Subgroup analyses were undertaken comparing studies that included adults versus children and studies with an active component (e.g., treadmill desk, physically active breaks) versus no active component to their intervention.

RESULTS

Nine studies (n=1859) were included. Compared to the control group, the interventions significantly reduced time spent in sedentary behaviour (standardised mean difference [95% confidence interval] -0.33 [-0.59 to -0.08] overall; -0.53 [-0.95 to -0.11] in adults). Subgroup analyses demonstrated that only interventions that included active components reduced time spent in sedentary behaviour (-0.54 [-0.88 to -0.20]) and increased time spent in MVPA (1.29 [0.02 to 2.56]). Subgroup analyses demonstrated that interventions only reduced BMI in studies of children (-0.09 [-0.18 to -0.00]) and in those with no active component (-0.09 [-0.18 to -0.01]). There were insufficient data to investigate the effectiveness of these interventions on HRQoL.

CONCLUSIONS

This novel systematic review and meta-analyses suggests interventions aiming to effectively reduce objectively-measured sedentary behaviour need to specifically include an active component.

Cross-sectional associations between multiple lifestyle behaviours and excellent well-being in Australian adults

Research into associations between lifestyle behaviours and health has largely focused on morbidity, mortality and disease prevention. Greater focus is needed to examine relationships between lifestyle behaviours and positive health outcomes such as well-being. This study aims to examine the associations between multiple lifestyle behaviours and excellent well-being. Participants (n = 6788) were adults in the member database of the 10,000 Steps Australia project who were asked to participate in an online survey in November-December 2016. Well-being (WHO-5) Smoking, dietary behaviour, alcohol consumption, physical activity, sitting time, sleep duration, and sleep quality were assessed by self-report. Logistic regression analyses were used to examine relationships between excellent well-being (top quintile) and the individual lifestyle behaviours and also a lifestyle behaviour index (the number of lower-risk behaviours performed). Lower-risk dietary behaviour (OR = 1.29, 95% CI: 1.10-1.51), physical activity (OR = 1.90, 95% CI: 1.48-2.42), sitting time (OR = 1.46, 95% CI: 1.26-1.69), sleep duration (OR = 1.52, 95% CI: 1.32-1.75) and higher sleep quality (OR = 2.98, 95% CI: 2.55-3.48) were positively associated with excellent well-being, after adjusting for socio-demographics, chronic disease, depression, anxiety and all other lifestyle behaviours. Engaging in a higher number of lower risk lifestyle behaviours was positively associated with excellent well-being. These results highlight the need for multiple lifestyle behaviour interventions to improve and maintain higher well-being.

A randomised controlled trial to test the efficacy of an m-health delivered physical activity and sleep intervention to improve sleep quality in middle-aged adults: The Refresh Study Protocol

INTRODUCTION

Poor sleep health is common and has a substantial negative health impact. Physical activity has been shown to improve sleep health. Many sleep interventions do not explicitly target physical activity, potentially limiting changes in activity and also sleep. Few intervention target those with poor sleep health but without a diagnosed disorder. This study aims to examine the efficacy of a combined physical activity and sleep intervention to improve sleep quality in middle-aged adults and its effect on physical activity, depression and quality of life.

METHODS

A three-arm randomised trial with a three-month primary time-point, will be conducted. Adults (N = 275) aged 40-65 years, who report physical inactivity and poor sleep quality, will be randomly allocated to either a combined Physical Activity and Sleep Health, a Sleep Health-Only or a Wait List Control group. The multi-component m-health intervention will be delivered using a smartphone/tablet "app", supplemented with email and SMS. Participants will use the app to access educational material, set goals, self-monitor and receive feedback about behaviours. Assessments will be conducted at baseline, three-month primary time-point and six-month follow-up. Generalized linear models using an ANCOVA (baseline-adjusted) approach, will be used to identify between-group differences in sleep quality, following an intention-to-treat principle.

DISCUSSION

This study will determine whether the addition of a physical activity intervention enhances the effectiveness of a sleep intervention to improve sleep quality, relative to a sleep-only intervention, in physically inactive middle-aged adults who report poor sleep health, but without a sleep disorder.

Effects of Shoe Top Visual Patterns on Shoe Wearers' Width Perception and Dynamic Stability

Visual illusions caused by varied orientations of visual patterns may influence the perception of space and size, possibly affecting body stability during locomotion. This study examined the effect of variations in shoe top visual patterns on perception and biomechanical stability while walking and running. Twenty healthy adults performed five walking and running trials along an instrumented walkway when wearing shoes with five different striped patterns (plain, vertical, outward, horizontal, and inward). Before these locomotion trials, participants ranked their perceptions of shoe width. We used synchronized force platform and motion capturing systems to measure ground reaction force, mediolateral center of position displacement, ankle inversion and eversion, ankle excursion, and maximum eversion velocity. We rated stability perception on a 150-mm visual analog scale immediately after each shoe condition. Data analyses indicated that participants perceived plain and horizontal striped shoes as significantly wider than inward and vertical patterned shoes. During walking, participants wearing shoes with plain and horizontal striped patterns demonstrated smaller mediolateral center of position displacement, maximum eversion velocity, and ankle range of motion when compared with walking when wearing outward and vertical striped patterns; when running, we observed a similar effect for maximum eversion velocity. Thus, certain visual patterns on the tops of shoes influence the wearers' width perception and locomotion in ways that affect ankle stability during walking and running, with implications for risk of injury.

Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the Synergy Study protocol

INTRODUCTION

There is a need to reduce physical inactivity and poor sleep health in the adult population to decrease chronic disease rates and the associated burden. Given the high prevalence of these risk behaviours, effective interventions with potential for wide reach are warranted.

METHODS AND ANALYSIS

The aim of this two-arm RCT will be to test the effect of a three month personalised mobile app intervention on two main outcomes: minutes of moderate-to-vigorous-intensity physical activity and overall sleep quality. In addition, between-group changes in health-related quality of life and mental health status will be assessed as secondary outcomes. The pre-specified mediators and moderators include social cognitive factors, the neighbourhood environment, health (BMI, depression, anxiety, stress), sociodemographic factors (age, gender, education) and app usage. Assessments will be conducted after three months (primary endpoint) and six months (follow-up). The intervention will provide access to a specifically developed mobile app, through which participants can set goals for active minutes, daily step counts, resistance training, sleep times and sleep hygiene practice. The app also allows participants to log their behaviours daily and view progress bars as well as instant feedback in relation to goals. The personalised support system will consist of weekly summary reports, educational and instructional materials, prompts on disengagement and weekly facts.

ETHICS AND DISSEMINATION

The Human Research Ethics Committee of The University of Newcastle, Australia granted full approval: H-2016-0181. This study will assess the efficacy of a combined behaviour intervention, mechanisms of behaviour change and gather high-quality process data, all of which will help refine future trials. Dissemination of findings will include publication in a peer-reviewed journal and presentation at national or international conferences. Participants will receive a plain English summary report of results.

TRIAL REGISTRATION NUMBER

ACTRN12617000376347; Pre-results.

Combined Impact of Traditional and Non-Traditional Healthy Behaviors on Health-Related Quality of Life: A Prospective Study in Older Adults

Combined exposure to several healthy behaviors (HB) is associated with reduced mortality in older adults but its impact on health-related quality of life (HRQL) is uncertain. This is a cohort study of 2,388 individuals aged ≥60 recruited in 2000–2001, whose data were updated in 2003 and 2009. At baseline, participants reported both traditional HB (non-smoking, being very or moderately active, healthy diet) and non-traditional HB (sleeping 7–8 h/d, being seated <8 h/d, and seeing friends every day). HRQL was measured with the SF-36 questionnaire at baseline, in 2003 (short-term) and in 2009 (long-term); a higher score on the SF-36 represents better HRQL. Linear regression models were used to assess the association between HB at baseline and HRQL in 2003 and 2009, with adjustment for the main confounders including baseline HRQL. In the short-term, being physically active, sleeping 7–8 h/d, and being seated <8 h/d was associated with better HRQL. Compared to having ≤1 of these HB, the β (95% confidence interval) for the score on the physical component summary of the SF-36 in 2003 was 1.42 (0.52–2.33) for 2 HB, and 2.06 (1.09–3.03) for 3 HB, p-trend <0.001. Corresponding figures for the mental component summary score were 1.89 (0.58–3.21) for 2 HB and 3.35 (1.95–4.76) for 3 HB, p-trend <0.001. Non-smoking, a healthy diet or seeing friends did not show an association with HRQL. In the long-term, being physically active was the only HB associated with better physical HRQL. As a conclusion, a greater number of HB, particularly more physical activity, adequate sleep duration, and sitting less, were associated with better short-term HRQL in older adults. However, in the long-term, being physically active was the only HB associated with better physical HRQL.

Examining the Correlates of Online Health Information-Seeking Behavior Among Men Compared With Women

This study aimed to identify and compare the demographic, health behavior, health status, and social media use correlates of online health-seeking behaviors among men and women. Cross-sectional self-report data were collected from 1,289 Australian adults participating in the Queensland Social Survey. Logistic regression analyses were used to identify the correlates of online health information seeking for men and women. Differences in the strength of the relation of these correlates were tested using equality of regression coefficient tests. For both genders, the two strongest correlates were social media use (men: odds ratio [ OR] = 2.57, 95% confidence interval [CI: 1.78, 3.71]; women: OR = 2.93, 95% CI [1.92, 4.45]) and having a university education (men: OR = 3.63, 95% CI [2.37, 5.56]; women: OR = 2.74, 95% CI [1.66, 4.51]). Not being a smoker and being of younger age were also associated with online health information seeking for both men and women. Reporting poor health and the presence of two chronic diseases were positively associated with online health seeking for women only. Correlates of help seeking online among men and women were generally similar, with exception of health status. Results suggest that similar groups of men and women are likely to access health information online for primary prevention purposes, and additionally that women experiencing poor health are more likely to seek health information online than women who are relatively well. These findings are useful for analyzing the potential reach of online health initiatives targeting both men and women.

Bidirectional associations between alcohol consumption and health-related quality of life amongst young and middle-aged women

BACKGROUND

Evidence from cross-sectional studies has suggested a positive association between moderate alcohol consumption and health-related quality of life but prospective data remain scarce.

OBJECTIVES

To examine the bidirectional relationships between alcohol consumption and health-related quality of life using a longitudinal study design.

METHODS

A total of 92 448 participants of the Nurses' Health Study II reported their alcohol consumption (in 1991, 1995, 1999 and 2003) and health-related quality of life (in 1993, 1997 and 2001). Using generalized estimating equations, we modelled the physical and mental component summary (PCS and MCS) scores as a function of alcohol consumption 2 years earlier (n = 88 363) and vice versa (n = 84 621).

RESULTS

Greater alcohol consumption was associated with better PCS scores 2 years later in a dose-response manner up to ~1 serving daily [mean difference (β) = 0.67 ± 0.06 PCS units, for moderate versus infrequent drinkers]. After adjustment for previous PCS, a similar but attenuated pattern was observed (β = 0.33 ± 0.07). Moderate alcohol consumption was not related to MCS, whereas moderate-to-heavy alcohol consumption was associated with lower MCS scores (β = -0.34 ± 0.15). Higher PCS scores were associated with greater alcohol consumption 2 years later, also after adjustment for previous alcohol consumption (β = 0.53 ± 0.05 g day(-1) ). MCS was not associated with alcohol consumption 2 years later.

CONCLUSION

Amongst young and middle-aged women, moderate alcohol intake was associated with a small improvement in physical health-related quality of life 2 years later and vice versa. Moderate alcohol consumption was not associated with mental health-related quality of life in either direction.

The association between physical activity, sitting time, sleep duration, and sleep quality as correlates of presenteeism

Objective:

This study aims to examine the relationship of lifestyle behaviors (physical activity, work and non-work sitting time, sleep quality, and sleep duration) with presenteeism while controlling for sociodemographics, work- and health-related variables.

Methods:

Data were collected from 710 workers (aged 20 to 76 years; 47.9% women) from randomly selected Australian adults who completed an online survey. Linear regression was used to examine the relationship between lifestyle behaviors and presenteeism.

Results:

Poorer sleep quality (standardized regression coefficients [B] = 0.112; P < 0.05), suboptimal duration (B = 0.081; P < 0.05), and lower work sitting time (B = −0.086; P < 0.05) were significantly associated with higher presenteeism when controlling for all lifestyle behaviors. Engaging in three risky lifestyle behaviors was associated with higher presenteeism (B = 0.150; P < 0.01) compared with engaging in none or one.

Conclusions:

The results of this study highlight the importance of sleep behaviors for presenteeism and call for behavioral interventions that simultaneously address sleep in conjunction with other activity-related behaviors.

Relationship of moderate alcohol intake and type of beverage with health behaviors and quality of life in elderly subjects

PURPOSE

This work was aimed to study the relationships of moderate alcohol intake and the type of beverages consumed with health behaviors and quality of life in elderly people.

METHODS

In this observational study, 231 subjects (55-85 years) voluntarily answering to advertisements were enrolled and divided in three study groups: abstainers and occasional consumers (ABS; n = 98), moderate drinkers of beer (BEER; n = 63) and moderate drinkers of all sorts of alcoholic beverages (MIXED; n = 70). Variables assessed included physical activity, activities of daily living, Mediterranean diet-adherence score, tobacco consumption, quality of sleep, body composition, medication and perception of health through the SF-36 questionnaire. Their relationship with alcohol consumption was assessed through general linear models including confounding variables (age, sex, chronic disease prevalence and socioeconomic status). ABS were also compared to moderate drinkers (MOD = BEER + MIXED).

RESULTS

The mean daily alcohol consumption in each group was (mean ± SD): ABS: 0.7 ± 1.1; BEER: 12.7 ± 8.1; MIXED: 13.9 ± 10.2 g/day. MOD and MIXED showed significantly higher physical activity (metabolic standard units; METs) than ABS (p = 0.023 and p = 0.004, respectively). MOD spent significantly less time doing housework activities than ABS (p = 0.032). Daily grams of alcohol consumption were significantly associated with METs (B = 21.727, p = 0.023). Specifically, wine consumption (g/day) was associated with METs (B = 46.196, p = <0.001) and showed borderline significant relationships with mental health (B = 0.245, p = 0.062) and vitality perception (B = 0.266, p = 0.054).

CONCLUSION

Moderate alcohol consumption, and in particular wine consumption, is associated with a more active lifestyle and better perception of own health in the Spanish elderly subjects studied.

Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study

AIM

This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and a composite index of behaviors.

SUBJECT AND METHODS

A random sample of Australian adults drawn from an online Panel cohort in 2013 completed a cross-sectional online survey. A total of 1,317 participants, median age 57 (IQR=20) completed the survey. Bed- and wake times, variability in bed- and wake-times, dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and socio-demographics were assessed using a questionnaire. Associations were examined with generalized linear models.

RESULTS

Having bed - times that varied by >30 min were associated with lower dietary quality, higher alcohol consumption, higher sitting time, more frequent insufficient sleep and poorer overall pattern of lifestyle behaviors. Greater variability in wake times, usual bed times and usual wake times were inconsistently associated with lifestyle behaviours.

CONCLUSIONS

Greater bed-time variability is associated with a less healthy pattern of lifestyle behaviors. Greater consistency in sleep timing may contribute to, or be reflective of, a healthier lifestyle.

Assessing the impact of dietary habits on health-related quality of life requires contextual measurement tools

The increase of non-communicable diseases at all ages has fostered the general concern for sustaining population health worldwide. Unhealthy lifestyles and dietary habits impacting physical and psycho-social health are well known risk factors for developing life threatening diseases. Identifying the determinants of quality of life is an important task from a Public Health perspective. Consumer-Reported Outcome measures of health-related quality of life (HRQoL) are becoming increasingly necessary and relevant in the field of nutrition. However, quality of life questionnaires are seldom used in the nutrition field. We conducted a scientific literature search to find out the questionnaires used to determine the association between dietary habits and quality of life. A total of 13 studies were eligible for inclusion. Across these studies the short form-36, a generic (non-disease specific) HRQoL measurement instrument was the most widely used. However, generic measures may have limited content validity in the context of dietary habits interventions. We recommend additional contextual diet-specific HRQoL measures are also needed for evaluating the impact of diet habits on daily life functioning and well-being.