Effects of qigong exercise on physical fitness and patient-reported health outcomes in lung cancer survivors.

PURPOSE: The aim of this study was to investigate the effects of a three-month Guolin Qigong (GQ) intervention on physical fitness and patient-reported health outcomes among patients with lung cancer. METHODS: This pilot study was a non-randomized controlled trial. Eligible participants who were over 18 years of age and diagnosed with stage I-IV lung cancer were enrolled in the study and received either the GQ intervention or usual care (UC). Participants in the GQ group performed GQ at least twice a week (one hour per session) for three months. Physical fitness (chair stand, arm curl, sit and reach, back scratch, 8-foot up and go, 6-min walk test) was assessed at baseline, post-intervention, six months, and 12 months. Self-reported quality of life and sleep (European Organization for Research and Treatment of Cancer Quality of Life questionnaire and Pittsburgh Sleep Quality Index) were assessed at baseline, post-intervention, and six months. RESULTS: Forty-nine participants (65% females, 59.1 ± 7.0 years old, ranging from 39 to 71 years old) were enrolled in the study, and 25 participants completed all tests at 12-month follow-up (13 in GQ vs. 12 in UC; 68% females, 59.3 ± 5.5 years old). Compared to the UC group, results for the chair stand and arm curl tests improved significantly in the GQ group from baseline to post-intervention (P = 0.024 and P = 0.041, respectively). Similarly, the 8-foot up and go test improved in the GQ group from baseline to post-intervention and 12 months (P = 0.004 and P = 0.008, respectively) when compared to the UC group. Between-group analyses also revealed a statistically significant improvement in global health status/quality of life from baseline to six months (P = 0.018) and quality of sleep from baseline to post-intervention (P = 0.034) in favor of the GQ group. CONCLUSION: GQ had a beneficial effect on lower and upper body strength, locomotor performance (speed, agility, and balance while moving), quality of sleep, and quality of life among lung cancer survivors, but further randomized controlled trials are warranted to confirm these findings. TRIAL REGISTRATION: The trial has been registered in the Chinese Clinical Trial Registry (ChiCTR2200059145).

Improving the accuracy of self-reported height and weight in surveys: an experimental study.

BACKGROUND: Many studies rely on self-reported height and weight. While a substantial body of literature exists on misreporting of height and weight, little exists on improving accuracy. The aim of this study was to determine, using an experimental design and a comparative approach, whether the accuracy of self-reported height and weight data can be increased by improving how these questions are asked in surveys, drawing on the relevant evidence from the psychology and survey research literatures. METHODS: Two surveys from two separate studies were used to test our hypotheses (Science Survey, n = 1,200; Eating Behaviours Survey, n = 200). Participants were randomly assigned to one of six conditions, four of which were designed to improve the accuracy of the self-reported height and weight data ("preamble"), and two of which served as the control conditions ( "no preamble"). Four hypotheses were tested: (H1) survey participants read a preamble prior to being asked their height and weight will report lower heights and higher weights than those not read a preamble; (H2) the impact of question-wording (i.e., preamble vs. no preamble) on self-reported weight will be greater for participants with higher BMIs; (H3) the impact of question-wording on height will be greater for older participants; (H4) either version of the weight question - standard or "weight-specific"-may result in participants reporting more accurate self-reported weight. One-way MANOVA was conducted to test Hypothesis 1; two-way analysis of variance were conducted to test Hypothesis 2; moderation analysis was used to test Hypothesis 3; independent samples t-test was conducted to test Hypothesis 4. RESULTS: None of the hypotheses was supported. CONCLUSIONS: This paper provides an important starting point from which to inform further work exploring how question wording can improve self-reported measurement of height and weight. Future research should explore how question preambles may or may not operationalise hypothesised underlying mechanisms, the sensitivity or intrusiveness of height and weight questions, individual beliefs about one's height and weight, and survey context.

Individual socioeconomic position, neighbourhood disadvantage and mental well-being: a cross-sectional multilevel analysis of mid-age adults.

BACKGROUND: Socioeconomic disadvantage is associated with mental illness, yet its relationship with mental well-being is unclear. Mental well-being is defined as feeling good and functioning well. Benefits of mental well-being include reduced mortality, improved immune functioning and pain tolerance, and increased physical function, pro-social behaviour, and academic and job performance. This study aims to explore the relationship between individual socioeconomic position (SEP), neighbourhood disadvantage and mental well-being in mid-age adults. METHODS: Multilevel modelling was used to analyse data collected from 7866 participants from the second (2009) wave of HABITAT (How Areas in Brisbane Influence healTh and activiTy), a longitudinal study (2007-2018) of adults aged 40-65 years living in Brisbane, Australia. Mental well-being was measured using the Warwick Edinburgh Mental Well-Being Scale (WEMWBS). Exposure measures were education, occupation, household income, and neighbourhood socioeconomic disadvantage. RESULTS: The lowest MWB scores were observed for the least educated (ß = - 1.22, 95%CI = - 1.74, - 0.71), those permanently unable to work (ß = - 5.50, 95%CI = - 6.90, - 4.10), the unemployed (ß = - 2.62, 95%CI = - 4.12, - 1.13), and members of low-income households (ß = - 3.77, 95%CI = - 4.59, - 2.94). Residents of the most disadvantaged neighbourhoods had lower MWB scores than those living in the least disadvantaged neighbourhoods, after adjustment for individual-level SEP (ß = - 0.96, 95%CI = - 1.66, - 0.28). CONCLUSIONS: Both individual-level SEP and neighbourhood disadvantage are associated with mental well-being although the association is stronger for individual-level SEP. This research highlights the need to address individual and neighbourhood-level socioeconomic determinants of mental well-being.

A cross-sectional and longitudinal study of neighbourhood disadvantage and cardiovascular disease and the mediating role of physical activity.

We investigate the prospective association between neighbourhood-level disadvantage and cardiovascular disease (CVD) among mid-to-older aged adults and whether physical activity (PA) mediates this association. The data come from the HABITAT project, a multilevel longitudinal investigation of health and wellbeing in Brisbane. The participants were 11,035 residents of 200 neighbourhoods in 2007, with follow-up data collected in 2009, 2011, 2013 and 2016. Multilevel binomial regression was used for the cross-sectional analysis and mixed-effect parametric survival models were used for the longitudinal analysis. Models were adjusted for age, sex, education, occupation, and household income. Those with pre-existing CVD at baseline were excluded from the longitudinal analyses. The mediated effect of PA on CVD was examined using multilevel generalized structural equation modelling. There was a total of 20,064 person-year observations across the five time-points clustered at three levels. Results indicated that the incidence of CVD was significantly higher in the most disadvantaged neighbourhoods (OR 1.50; HR 1.29) compared with the least disadvantaged. Mediation analysis results revealed that 11.5% of the effect of neighbourhood disadvantage on CVD occurs indirectly through PA in the most disadvantaged neighbourhoods while the corresponding figure is 5.2% in the more advantaged areas. Key findings showed that neighbourhood disadvantage is associated with the incidence of CVD, and PA is a significant mediator of this relationship. Future research should investigate which specific social and built environment features promote or inhibit PA in disadvantaged areas as the basis for policy initiatives to address inequities in CVD.

Neighborhood Disadvantage and Body Mass Index: A Study of Residential Relocation.

Natural experiments, such as longitudinal observational studies that follow-up residents as they relocate, provide a strong basis to infer causation between the neighborhood environment and health. In this study, we examined whether changes in the level of neighborhood disadvantage were associated with changes in body mass index (BMI) after residential relocation. This analysis included data from 928 residents who relocated between 2007 and 2013, across 4 waves of the How Areas in Brisbane Influence Health and Activity (HABITAT) study in Brisbane, Australia. Neighborhood disadvantage was measured using a census-derived composite index. For individual-level data, participants self-reported their height, weight, education, occupation, and household income. Data were analyzed using multilevel, hybrid linear models. Women residing in less disadvantaged neighborhoods had a lower BMI, but there was no association among men. Neighborhood disadvantage was not associated with within-individual changes in BMI among men or women when moving to a new neighborhood. Despite a growing body of literature suggesting an association between neighborhood disadvantage and BMI, we found this association may not be causal among middle-aged and older adults. Observing associations between neighborhood socioeconomic disadvantage and BMI over the life course, including the impact of residential relocation at younger ages, remains a priority for future research.

Neighborhood socioeconomic disadvantage and body mass index among residentially stable mid-older aged adults: Findings from the HABITAT multilevel longitudinal study.

Despite a body of evidence on the relationship between neighborhood socioeconomic disadvantage and body mass index (BMI), few studies have examined this relationship over time among ageing populations. This study examined associations between level of neighborhood socioeconomic disadvantage and the rate of change in BMI over time. The sample included 11,035 participants aged between 40 and 65years at baseline from the HABITAT study, residing in 200 neighborhoods in Brisbane, Australia. Data were collected biennially over four waves from 2007 to 2013. Self-reported height and weight were used to calculate BMI, while neighborhood disadvantage was measured using a census-based composite index. All models were adjusted for age, education, occupation, and household income. Analyses were conducted using multilevel linear regression models. BMI increased over time at a rate of 0.08kg/m2 (95% CI 0.02, 0.13) and 0.17kg/m2 (95% CI 0.11, 0.29) per wave for men and women respectively. Both men and women residing in the most disadvantaged neighborhoods had a higher average BMI than their counterparts living in the least disadvantaged neighborhoods. There were no evident differences in the rate of BMI change over time by level of neighborhood disadvantage. The findings suggest that by mid-older age, the influence of neighborhood socioeconomic conditions over time on BMI may have already played out. Future research should endeavor to identify the genesis of neighborhood socioeconomic inequalities in BMI, the determinants of these inequalities, and then suitable approaches to intervening.

Associations between physical activity and the neighbourhood social environment: baseline results from the HABITAT multilevel study.

Limitations have arisen when measuring associations between the neighbourhood social environment and physical activity, including same-source bias, and the reliability of aggregated neighbourhood-level social environment measures. This study examines cross-sectional associations between the neighbourhood social environment (perceptions of incivilities, crime, and social cohesion) and self-reported physical activity, while accounting for same-source bias and reliability of neighbourhood-level exposure measures, using data from a large population-based clustered sample. This investigation included 11,035 residents aged 40-65years from 200 neighbourhoods in Brisbane, Australia, in 2007. Respondents self-reported their physical activity and perceptions of the social environment (neighbourhood incivilities, crime and safety, and social cohesion). Models were adjusted for individual-level education, occupation, and household income, and neighbourhood disadvantage. Exposure measures were generated via split clusters and an empirical Bayes estimation procedure. Data were analysed in 2016 using multilevel multinomial logistic regression. Residents of neighbourhoods with the highest incivilities and crime, and lowest social cohesion were reference categories. Individuals were more likely to be in the higher physical activity categories if they were in neighbourhoods with the lowest incivilities and the lowest crime. No associations were found between social cohesion and physical activity. This study provides a basis from which to gain a clearer understanding of the relationship between the neighbourhood social environment and individual physical activity. Further work is required to explore the pathways between perceptions of the neighbourhood social environment and physical activity.

Neighborhood disadvantage, individual-level socioeconomic position and physical function: A cross-sectional multilevel analysis.

INTRODUCTION: Understanding associations between physical function and neighborhood disadvantage may provide insights into which interventions might best contribute to reducing socioeconomic inequalities in health. This study examines associations between neighborhood-disadvantage, individual-level socioeconomic position (SEP) and physical function from a multilevel perspective. METHODS: Data were obtained from the HABITAT multilevel longitudinal (2007-13) study of middle-aged adults, using data from the fourth wave (2013). This investigation included 6004 residents (age 46-71years) of 535 neighborhoods in Brisbane, Australia. Physical function was measured using the PF-10 (0-100), with higher scores indicating better function. The data were analyzed using multilevel linear regression and were extended to test for cross-level interactions by including interaction terms for different combinations of SEP (education, occupation, household income) and neighborhood disadvantage on physical function. RESULTS: Residents of the most disadvantaged neighborhoods reported significantly lower physical function (men: ß -11.36 95% CI -13.74, -8.99; women: ß -11.41 95% CI -13.60, -9.22). These associations remained after adjustment for individual-level SEP. Individuals with no post-school education, those permanently unable to work, and members of the lowest household income had significantly poorer physical function. Cross-level interactions suggested that the relationship between household income and physical function is different across levels of neighborhood disadvantage for men; and for education and occupation for women. CONCLUSION: Living in a disadvantaged neighborhood was negatively associated with physical function after adjustment for individual-level SEP. These results may assist in the development of policy-relevant targeted interventions to delay the rate of physical function decline at a community-level.

Adolescent Self-Reported Physical Activity and Autonomy: A Case for Constrained and Structured Environments?

The provision of autonomy supportive environments that promote physical activity engagement have become popular in contemporary youth settings. However, questions remain about whether adolescent perceptions of their autonomy have implications for physical activity. The purpose of this investigation was to examine the association between adolescents' self-reported physical activity and their perceived autonomy. Participants (n = 384 adolescents) aged between 12 and 15 years were recruited from six secondary schools in metropolitan Brisbane, Australia. Self-reported measures of physical activity and autonomy were obtained. Logistic regression with inverse probability weights were used to examine the association between autonomy and the odds of meeting youth physical activity guidelines. Autonomy (OR 0.61, 95% CI 0.49-0.76) and gender (OR 0.62, 95% CI 0.46-0.83) were negatively associated with meeting physical activity guidelines. However, the model explained only a small amount of the variation in whether youth in this sample met physical activity guidelines (R(2) = 0.023). For every 1 unit decrease in autonomy (on an index from 1 to 5), participants were 1.64 times more likely to meet physical activity guidelines. The findings, which are at odds with several previous studies, suggest that interventions designed to facilitate youth physical activity should limit opportunities for youth to make independent decisions about their engagement. However, the small amount of variation explained by the predictors in the model is a caveat, and should be considered prior to applying such suggestions in practical settings. Future research should continue to examine a larger age range, longitudinal observational or intervention studies to examine assertions of causality, as well as objective measurement of physical activity. Key pointsAutonomy was negatively associated with meeting physical activity recommendationsThe findings suggest that more structured environments would facilitate physical activityThe small amount of variation explained by the predictors in the model is a caveat.

Reliability of a wellness inventory for use among adolescent females aged 12-14 years.

BACKGROUND: The wellness construct has application in a number of fields including education, healthcare and counseling, particularly with regard to female adolescents. The effective measurement of wellness in adolescents can assist researchers and practitioners in determining lifestyle behaviors in which they are lacking. Behavior change interventions can then be designed which directly aid in the promotion of these areas. METHODS: The 5-Factor Wellness Inventory (designed to measure the Indivisible Self model of wellness) is a popular instrument for measuring the broad aspects of wellness amongst adolescents. The instrument comprises 97 items contributing to 17 subscales, five dimension scores, four context scores, total wellness score, and a life satisfaction index. This investigation evaluated the test-retest (intra-rater) reliability of the 5F-Wel instrument in repeated assessments (seven days apart) among adolescent females aged 12-14 years. Percentages of exact agreement for individual items, and the number of respondents who scored within ±5, ±7.5 and ±10 points for total wellness and the five summary dimension scores were calculated. RESULTS: Overall, 46 (95.8%) participants responded with complete data and were included in the analysis. Item agreement ranged from 47.8% to 100% across the 97 items (median 69.9%, interquartile range 60.9%-73.9%). The percentage of respondents who scored within ±5, ±7.5 and ±10 points for total wellness at the re-assessment was 87.0%, 97.8% and 97.8% respectively. The percentage of respondents who scored within ±5, ±7.5 and ±10 for the domain scores at the reassessment ranged between 54.3-76.1%, 78.3-95.7% and 89.1-95.7% respectively across the five dimensions. CONCLUSIONS: These findings suggest there was considerable variation in agreement between the two assessments on some individual items. However, the total wellness score and the five dimension summary scores remained comparatively stable between assessments.

Associations between changes in crime and changes in walking for transport with effect measure modification by gender: A fixed-effects analysis of the multilevel longitudinal HABITAT study (2007-2016).

Walking for transport is a potential solution to increasing physical activity in mid to older aged adults however neighbourhood crime may be a barrier. Using data from the How Areas in Brisbane Influence HealTh and AcTivity (HABITAT) study 2007-2016, this study examined associations between changes in crime (perceived crime and objectively measured crime) and changes in transport walking, and whether this association differed by gender. Fixed effects regression modelled associations between changes in crime and changes in transport walking, with interaction terms examining effect modification by gender. Positive associations were found between crimes against person and walking for transport. There was no evidence of effect modification by gender. Understanding the relationship between crime and walking for transport can inform policies aimed at promoting transport walking.

Public greenspace and mental wellbeing among mid-older aged adults: Findings from the HABITAT longitudinal study.

We explored temporal associations between public greenspace and adults' mental wellbeing. Participants (n = 5,906) aged 40-65 years at baseline had data at >2 post-baseline waves of HABITAT, a multilevel longitudinal study (2007-16) in Brisbane, Australia. Participants self-reported mental wellbeing (short Warwick-Edinburgh Mental Wellbeing Scale) and neighbourhood self-selection reasons at Waves 2-5 (2009-11-13-16). We examined associations between Δgreenspace (within 1 km of home) and Δmental wellbeing using a linear fixed effects model, adjusting for time-varying confounders. Mental wellbeing increased (ß = 1.75; 95% Confidence Interval:0.25-3.26) with greenspace exposure, adjusting for self-selection. Urban planning and policy initiatives to increase public greenspace may benefit mental wellbeing.

The moderating effects of greenspace on the association between neighbourhood disadvantage and obesity among mid-to-older aged Australian adults.

This study examined whether the association between neighbourhood disadvantage and obesity was moderated by quantity and quality of greenspace. The sample included 2848 mid-to-older aged adults residing in 200 neighbourhoods in Brisbane, Australia from the HABITAT study. Self-reported height and weight were used to calculate body mass index (BMI), neighbourhood disadvantage was measured using a census-derived composite index and greenspace was measured geospatially. We found evidence of moderation by park quality: lower average BMI at higher levels of park quality was shown in the Q3 rather than the Q1 (least disadvantaged) neighbourhood disadvantage group. The findings suggest that, for reducing socioeconomic inequalities in obesity, the quality of greenspace is imperative.

Examining variation in the relationship between disability and physical activity across Australian local government areas.

Understanding the relationship between disability and physical activity and whether it differs across local government jurisdictions may aid in the development of placed-based approaches to reducing disability-related inequalities in physical activity. The objectives of this study were to examine the association between disability and physical activity and assess whether this association varied between Australian Local Government Areas. The sample included 13,315 participants aged 18-64 years from the Household Income and Labour Dynamics Australia Survey, 2017. Participants self-reported disability and physical activity. Linear mixed-effects models estimated the association between disability and physical activity. People with disability reported less physical activity per week. We did not find evidence that this association varied across LGAs. Our findings do not add evidence towards local government-based approaches in Australia to reducing physical activity inequalities between people with and without a disability.

Changes in neighbourhood walkability and body mass index: An analysis of residential mobility from a longitudinal multilevel study in Brisbane, Australia.

This study examined associations between changes in neighbourhood walkability and body mass index (BMI) among 1041 residents who relocated within Brisbane, Australia between 2007 and 2016 over five waves of the HABITAT study. Measures included spatially-derived neighbourhood walkability (dwelling density, street connectivity, and land use mix) and self-reported height and weight. No associations were found between any neighbourhood walkability characteristics and BMI. Examining these associations over the life course, and the impact of residential relocation in the younger years, remains a priority for future research.

Sociodemographic characteristics and social exclusion among the oldest old.

OBJECTIVES: The socioeconomically disadvantaged oldest old (people aged 85 years and over) are more vulnerable to social exclusion than the general population. Using a population representative sample, this paper examined associations between sociodemographic characteristics and social exclusion among the oldest old. METHODS: This cross-sectional study included 307 participants aged 85 years and over from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Sociodemographic characteristics were measured using household composition, country of birth, housing tenure, income, education and neighbourhood-level disadvantage. Three social exclusion domains were derived representing unsupportive relationships, neighbourhood exclusion and community disengagement. Analysis was undertaken separately for men and women. RESULTS: Among men, living alone was associated with higher levels of unsupportive relationships (ß = 11.6, 95%CI 2.1, 21.0) and having a lower income was associated with lower levels of neighbourhood disunity (ß = -16.7, 95%CI -31.2, -2.2). Among women, living alone was associated with lower levels of community disengagement (ß = -7.2, 95%CI -13.4, -0.9) and neighbourhood disadvantage was associated with lower levels of neighbourhood disunity (ß = -10.4, 95%CI -19.6, -1.2). Both men and women with lower levels of education had higher levels of community disengagement (men: ß = 8.3, 95%CI 1.9, 14.7; women: ß = 17.0, 95%CI 8.6, 25.5). CONCLUSIONS: This study showed few and unexpected associations between sociodemographic characteristics and social exclusion among oldest-old Australians, suggesting a homogeneous effect of advancing age. Government approaches aimed at reducing social exclusion in this age group should consider gender and taking action across all socioeconomic stratification. Further research is warranted to understand the underlying mechanisms linking sociodemographic characteristics to social exclusion.

"I'm definitely not socially excluded!"- Perceptions of social exclusion among Australian government housing residents aged 80 and older who live alone.

The oldest old - those aged 80 years and over - are the fastest growing sector of the Australian population and are generally assumed to be at risk of social exclusion which impedes healthy aging. The voices of those thought to be vulnerable to social exclusion are seldom heard. Informed by a critical gerontology framework, socio-ecological model of health and life-course perspectives, this research involved semi-structured in-depth interviews with a purposive sample of 13 people aged 80 and older living alone in government housing, in a socio-economically disadvantaged neighborhood in Melbourne, Australia. Interview transcripts were analyzed using thematic analysis. The findings reveal a positive picture of survival despite hardship, supportive relationships, a sense of autonomy from living independently, and contributing to society. These findings challenge ageist assumptions, which equate advanced age with social exclusion.

Using machine learning to examine associations between the built environment and physical function: A feasibility study.

Linking geospatial neighbourhood design characteristics to health and behavioural data from population-representative cohorts is limited by data availability and difficulty collecting information on environmental characteristics (e.g. greenery, building setbacks, dwelling structure). As an alternative, this study examined the feasibility of Generative Adversarial Networks (GANs) - machine learning - to measure neighbourhood design using 'street view' and aerial imagery to explore the relationship between the built environment and physical function. This study included 3102 adults aged 45 years and older clustered in 200 neighbourhoods in 2016 from the How Areas in Brisbane Influence Health and Activity (HABITAT) project in Brisbane, Australia. Exposure data were Google Street View and Google Maps images from within the 200 neighbourhoods, and outcome data were self-reported physical function using the PF-10 (a subset of the SF-36). Physical function scores were aggregated to the neighbourhood level, and the highest and lowest 20 neighbourhoods respectively were used in analysis. We found that the aerial imagery retrieved was unable to be used to adequately train the model, meaning that aerial imagery failed to produce meaningful results. Of the street view images, n = 56,330 images were downloaded and used to train the GAN model. Model outputs included augmented street view images between neighbourhoods classed as having high function and low function residents. The GAN model detected differences in neighbourhood design characteristics between neighbourhoods classed as high and low physical function at the aggregate level. Specifically, differences were identified in urban greenery (including tree heights) and dwelling structure (e.g. building height). This study provides important lessons for future work in this field, especially related to the uniqueness, diversity and amount of imagery required for successful applications of deep learning methods.