The longitudinal association between physical activity, strength and fitness, and lung function: A UK Biobank cohort study.

BACKGROUND: While physical activity is hypothesized to slow lung-function decline, the evidence is limited at a population level. This study investigated the longitudinal association between physical activity and related measures (grip strength, cardiovascular fitness) and lung function decline. METHODS: 20,111 UK Biobank cohort participants with lung function measures at baseline (2006-2010) and follow-up (2012-2014) were included. Physical activity (International Physical Activity Questionnaire: low, moderate, high categories), grip strength (dynamometer) and cardiovascular fitness (subsample, submaximal stationary bicycle) data were collected. Linear regression was utilized to assess the effect on follow-up FEV1, FVC, FEV1/FVC ratio (as decline in ml/yr and as z-scores) adjusting for baseline lung function and confounders. RESULTS: After 6.3 years mean follow-up, the decline in mean FEV1 and FVC was 30 ml/year and 38 ml/year respectively (n = 20,111). Consistent low physical activity (across baseline and follow-up) was associated with accelerated decline in FEV1 z-score (-0.119, 95 % Confidence Interval (CI) -0.168, -0.071, n = 16,900) and FVC z-score (-0.133, 95%CI -0.178, -0.088, n = 16,832). Accelerated decline in FEV1 z-scores was observed with decreasing baseline grip strength (-0.029, -95%CI -0.034, -0.024, n = 19,903), and with less strong evidence, decreasing fitness (-0.024, 95%CI -0.070, 0.022, n = 3048). CONCLUSION: This is the largest ever study to date to identify that lower physical activity, grip strength, and potentially cardiovascular fitness over time is associated with accelerated lung function decline. Although the effect sizes appear modest, such changes at population levels can have a substantial overall impact. This study provides evidence for adding 'lung health benefits' to the current physical activity guidelines.

Towards a health promoting university: descriptive findings on health, wellbeing and academic performance amongst university students in Australia.

BACKGROUND: Universities are increasingly recognised as institutions where health and wellbeing can be promoted to maximise academic outcomes, career transitions, and lifelong positive health behaviours. There is concern about the mental health of university students and other factors which affect academic outcomes particularly for subgroups such as international students. There are few cohort studies of the breadth of issues that can impact on mental health and academic outcomes for both local and international students. We conducted a baseline prevalence survey of students at a large Australian university covering health, academic, and social determinants of wellbeing. The purpose was to inform the university's new student health and wellbeing framework with a view to follow-up to determine predictors of mental ill-health and academic outcomes in the subsequent year. In this paper we present the baseline prevalence data and report on selected mental health and health care access issues for local and international students. METHODS: The entire university population as of April 2019 of over 56,375 students aged 18 or above were invited to complete the online survey. Questions explored eight domains: demographic characteristics, general health and wellbeing, mental health, risk taking behaviours, psychosocial stressors, learning and academic factors, social and cultural environment, and awareness of and access to health and wellbeing services. Records of academic results were also accessed and matched with survey data for a large subset of students providing consent. RESULTS: Fourteen thousand eight hundred eighty (26.4%) students commenced our survey and were representative of the entire student population on demographic characteristics. Three quarters were aged between 18 to 25 years and one third were international students. Eighty-five percent consented to access of their academic records. Similar proportions of local and international students experienced symptoms of a depression or anxiety disorder, however international students were less aware of and less likely to access available health services both inside and external to the university. We also reported on the prevalence of: general lifestyle factors (diet, exercise, amount of daily sleep); risk-taking behaviours (including alcohol, tobacco and other drug use; unprotected sexual activity); psychosocial stressors (financial, intimate partner violence, discrimination, academic stressors, acculturative stress); subjects failed; resilience; social supports; social media use; and health services accessed online. CONCLUSIONS: This rigorous and comprehensive examination of the health status of local and international students in an Australian university student population establishes the prevalence of mental health issues and other psychosocial determinants of health and wellbeing, along with academic performance. This study will inform a university-wide student wellbeing framework to guide health and wellbeing promotion and is a baseline for a 12-month follow-up of the cohort in 2020 during the COVID-19 pandemic.

Is asthma associated with COVID-19 infection? A UK Biobank analysis.

BACKGROUND: The relationship between asthma and coronavirus disease 2019 (COVID-19) risk is not clear and may be influenced by level of airway obstruction, asthma medication and known COVID-19 risk factors. We aimed to investigate COVID-19 risk in people with asthma. METHODS: We used UK Biobank data from all participants tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (n=107 412; 17 979 test positive). Questions at baseline defined ever asthma and asthma medications. Baseline forced expiratory volume in 1 s (FEV1) was categorised into quartiles. Logistic regression modelled relationships between asthma, and asthma categories (age at onset, medications, FEV1 quartiles), and risk of SARS-CoV-2 positive test. We investigated modification by sex, ethnic group, smoking and body mass index. RESULTS: There was a reduced risk of a positive test associated with early-onset asthma (<13 years) (OR 0.91, 95% CI 0.84-0.99). This was found for participants with early-onset asthma who were male (OR 0.87, 95% CI 0.78-0.98), nonsmokers (OR 0.87, 95% CI 0.78-0.98), overweight/obese (OR 0.85, 95% CI 0.77-0.93) and non-Black (OR 0.90, 95% CI 0.82-0.98). There was increased risk amongst early-onset individuals with asthma in the highest compared to lowest quartile of lung function (1.44, 1.05-1.72). CONCLUSION: Amongst male, nonsmoking, overweight/obese and non-Black participants, having early-onset asthma was associated with lower risk of a SARS-CoV-2 positive test. We found no evidence of a protective effect from asthma medication. Individuals with early-onset asthma of normal weight and with better lung function may have lifestyle differences placing them at higher risk. Further research is needed to elucidate the contribution of asthma pathophysiology and different health-related behaviour, across population groups, to the observed risks.

Lifetime Risk Factors for Pre- and Post-Bronchodilator Lung Function Decline. A Population-based Study.

Rationale: Interactions between early life and adult insults on lung function decline are not well understood, with most studies investigating prebronchodilator (pre-BD) FEV1 decline.Objectives: To investigate relationships between adult risk factors and pre- and post-BD lung function decline and their potential effect modification by early life and genetic factors.Methods: Multiple regression was used to examine associations between adult exposures (asthma, smoking, occupational exposures, traffic pollution, and obesity) and decline in both pre- and post-BD spirometry (forced expiratory volume in 1 s [FEV1], forced vital capacity [FVC], and FEV1/FVC) between ages 45 and 53 years in the Tasmanian Longitudinal Health Study (n = 857). Effect modification of these relationships by childhood respiratory risk factors, including low childhood lung function and GST (glutathione S-transferase) gene polymorphisms, was investigated.Results: Baseline asthma, smoking, occupational exposure to vapors/gases/dusts/fumes, and living close to traffic were associated with accelerated decline in both pre- and post-BD FEV1. These factors were also associated with FEV1/FVC decline. Occupational exposure to aromatic solvents was associated with pre-BD but not post-BD FEV1 decline. Maternal smoking accentuated the effect of personal smoking on pre- and post-BD FEV1 decline. Lower childhood lung function and having the GSTM1 null allele accentuated the effect of occupational exposure to vapors/gases/dusts/fumes and personal smoking on post-BD FEV1 decline. Incident obesity was associated with accelerated decline in FEV1 and more pronounced in FVC.Conclusions: This study provides new evidence for accentuation of individual susceptibility to adult risk factors by low childhood lung function, GSTM1 genotype, and maternal smoking.

Childhood Respiratory Risk Factor Profiles and Middle-Age Lung Function: A Prospective Cohort Study from the First to Sixth Decade.

RATIONALE: Childhood risk factors for long-term lung health often coexist and their specific patterns may affect subsequent lung function differently. OBJECTIVES: To identify childhood risk factor profiles and their influence on lung function and chronic obstructive pulmonary disease (COPD) in middle age, and potential pathways. METHODS: Profiles of 11 childhood respiratory risk factors, documented at age 7, were identified in 8,352 participants from the Tasmanian Longitudinal Health Study using latent class analysis. We investigated associations between risk profiles and post-bronchodilator lung function and COPD at age 53, mediation by childhood lung function and adult asthma, and interaction with personal smoking. RESULTS: Six risk profiles were identified: 1) unexposed or least exposed (49%); 2) parental smoking (21.5%); 3) allergy (10%); 4) frequent asthma, bronchitis (8.7%); 5) infrequent asthma, bronchitis (8.3%); and 6) frequent asthma, bronchitis, allergy (2.6%). Profile 6 was most strongly associated with lower forced expiratory volume in 1 second (FEV1) (-261; 95% confidence interval, -373 to -148 ml); lower FEV1/forced vital capacity (FVC) (-3.4; -4.8 to -1.9%) and increased COPD risk (odds ratio, 4.9; 2.1 to 11.0) at age 53. The effect of profile 6 on COPD was largely mediated by adult active asthma (62.5%) and reduced childhood lung function (26.5%). Profiles 2 and 4 had smaller adverse effects than profile 6. Notably, the effects of profiles 2 and 6 were synergistically stronger for smokers. CONCLUSIONS: Profiles of childhood respiratory risk factors predict middle-age lung function levels and COPD risk. Specifically, children with frequent asthma attacks and allergies, especially if they also become adult smokers, are the most vulnerable group. Targeting active asthma in adulthood (i.e., a dominant mediator) and smoking (i.e., an effect modifier) may block causal pathways and lessen the effect of such established early-life exposures.

Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life.

BACKGROUND: Lifetime lung function is related to quality of life and longevity. Over the lifespan, individuals follow different lung function trajectories. Identification of these trajectories, their determinants, and outcomes is important, but no study has done this beyond the fourth decade. METHODS: We used six waves of the Tasmanian Longitudinal Health Study (TAHS) to model lung function trajectories measured at 7, 13, 18, 45, 50, and 53 years. We analysed pre-bronchodilator FEV1 z-scores at the six timepoints using group-based trajectory modelling to identify distinct subgroups of individuals whose measurements followed a similar pattern over time. We related the trajectories identified to childhood factors and risk of chronic obstructive pulmonary disease (COPD) using logistic regression, and estimated population-attributable fractions of COPD. FINDINGS: Of the 8583 participants in the original cohort, 2438 had at least two waves of lung function data at age 7 years and 53 years and comprised the study population. We identified six trajectories: early below average, accelerated decline (97 [4%] participants); persistently low (136 [6%] participants); early low, accelerated growth, normal decline (196 [8%] participants); persistently high (293 [12%] participants); below average (772 [32%] participants); and average (944 [39%] participants). The three trajectories early below average, accelerated decline; persistently low; and below average had increased risk of COPD at age 53 years compared with the average group (early below average, accelerated decline: odds ratio 35·0, 95% CI 19·5-64·0; persistently low: 9·5, 4·5-20·6; and below average: 3·7, 1·9-6·9). Early-life predictors of the three trajectories included childhood asthma, bronchitis, pneumonia, allergic rhinitis, eczema, parental asthma, and maternal smoking. Personal smoking and active adult asthma increased the impact of maternal smoking and childhood asthma, respectively, on the early below average, accelerated decline trajectory. INTERPRETATION: We identified six potential FEV1 trajectories, two of which were novel. Three trajectories contributed 75% of COPD burden and were associated with modifiable early-life exposures whose impact was aggravated by adult factors. We postulate that reducing maternal smoking, encouraging immunisation, and avoiding personal smoking, especially in those with smoking parents or low childhood lung function, might minimise COPD risk. Clinicians and patients with asthma should be made aware of the potential long-term implications of non-optimal asthma control for lung function trajectory throughout life, and the role and benefit of optimal asthma control on improving lung function should be investigated in future intervention trials. FUNDING: National Health and Medical Research Council of Australia; European Union's Horizon 2020; The University of Melbourne; Clifford Craig Medical Research Trust of Tasmania; The Victorian, Queensland & Tasmanian Asthma Foundations; The Royal Hobart Hospital; Helen MacPherson Smith Trust; and GlaxoSmithKline.

Leisure-time vigorous physical activity is associated with better lung function: the prospective ECRHS study.

OBJECTIVE: We assessed associations between physical activity and lung function, and its decline, in the prospective population-based European Community Respiratory Health Survey cohort. METHODS: FEV1 and FVC were measured in 3912 participants at 27-57 years and 39-67 years (mean time between examinations=11.1 years). Physical activity frequency and duration were assessed using questionnaires and used to identify active individuals (physical activity ≥2 times and ≥1 hour per week) at each examination. Adjusted mixed linear regression models assessed associations of regular physical activity with FEV1 and FVC. RESULTS: Physical activity frequency and duration increased over the study period. In adjusted models, active individuals at the first examination had higher FEV1 (43.6 mL (95% CI 12.0 to 75.1)) and FVC (53.9 mL (95% CI 17.8 to 89.9)) at both examinations than their non-active counterparts. These associations appeared restricted to current smokers. In the whole population, FEV1 and FVC were higher among those who changed from inactive to active during the follow-up (38.0 mL (95% CI 15.8 to 60.3) and 54.2 mL (95% CI 25.1 to 83.3), respectively) and who were consistently active, compared with those consistently non-active. No associations were found for lung function decline. CONCLUSION: Leisure-time vigorous physical activity was associated with higher FEV1 and FVC over a 10-year period among current smokers, but not with FEV1 and FVC decline.

Validity of the Berlin questionnaire in detecting obstructive sleep apnea: A systematic review and meta-analysis.

We aimed to systematically review the Berlin questionnaire as a screening tool for obstructive sleep apnea. We systematically searched PubMed, Embase, and Scopus databases, reviewed articles reporting the Berlin questionnaire's diagnostic utility as measured against type-1 polysomnography, and performed meta-analyses where possible. Thirty five eligible articles showed that the Berlin questionnaire's diagnostic utility varied by study population, definition of hypopnea used, and apnea-hypopnea index threshold used. It had good sensitivity and specificity for detecting clinically relevant obstructive sleep apnea as well as any obstructive sleep apnea in the sleep clinic population. Despite limited evidence, it showed modest to high sensitivity for detecting clinically relevant obstructive sleep apnea or any obstructive sleep apnea in other clinical and general population subgroups. Its specificity was relatively low. Possible reasons for variability in reported diagnostic utility of the Berlin questionnaire are multifaceted. We conclude that the Berlin questionnaire is useful as a clinical screening test and epidemiological tool in the sleep clinic population. Despite limited evidence, it likely has potential clinical and research utility in other populations. Adopting more consistent methodological definitions and focussing more on the general population and specific clinical populations to determine its usefulness as a clinical or epidemiological screening tool are recommended.

Sleep apnoea in Australian men: disease burden, co-morbidities, and correlates from the Australian longitudinal study on male health.

BACKGROUND: Obstructive sleep apnoea is a common disorder with under-rated clinical impact, which is increasingly being recognised as having a major bearing on global disease burden. Men are especially vulnerable and become a priority group for preventative interventions. However, there is limited information on prevalence of the condition in Australia, its co-morbidities, and potential risk factors. METHODS: We used data from 13,423 adult men included in the baseline wave of Ten to Men, an Australian national study of the health of males, assembled using stratified cluster sampling with oversampling from rural and regional areas. Those aged 18-55 years self-completed a paper-based questionnaire that included a question regarding health professional-diagnosed sleep apnoea, physical and mental health status, and health-related behaviours. Sampling weights were used to account for the sampling design when reporting the prevalence estimates. Odds ratios were used to describe the association between health professional-diagnosed sleep apnoea and potential correlates while adjusting for age, country of birth, and body-mass index (BMI). RESULTS: Prevalence of self-reported health professional-diagnosed sleep apnoea increased from 2.2 % in age 18-25 years to 7.8 % in the age 45-55 years. Compared with those without sleep apnoea, those with sleep apnoea had significantly poorer physical, mental, and self-rated health as well as lower subjective wellbeing and poorer concentration/remembering (p < 0.001 for all). Sleep apnoea was significantly associated with older age (p < 0.001), unemployment (p < 0.001), asthma (p = 0.011), chronic obstructive pulmonary disease/chronic bronchitis (p = 0.002), diabetes (p < 0.001), hypercholesterolemia (p < 0.001), hypertension (p < 0.001), heart attack (p < 0.001), heart failure (p < 0.001), angina (p < 0.001), depression (p < 0.001), post-traumatic stress disorder (p < 0.001), other anxiety disorders (p < 0.001), schizophrenia (p = 0.002), overweight/obesity (p < 0.001), insufficient physical activity (p = 0.006), smoking (p = 0.005), and high alcohol consumption (p < 0.001). CONCLUSION: Health professional-diagnosed sleep apnoea is relatively common, particularly in older males. Associations between sleep apnoea and cardiovascular, metabolic, respiratory, and psychiatric disorders have important clinical and public health implications. As men are especially vulnerable to sleep apnoea as well as some of its chronic co-morbidities, they are potentially a priority group for health interventions. Modifiable lifestyle related factors such as smoking, alcohol consumption, level of physical activity and BMI are possible key foci for interventions.

Growth hormone is positively associated with surrogate markers of bone turnover during puberty.

BACKGROUND: Puberty is characterized by increases in growth hormone (GH) and insulin-like growth factor-1 (IGF-1) and the pubertal growth spurt. Bone formation and resorption also increase, consistent with increased bone metabolism. OBJECTIVE: To determine the relationship between pubertal bone metabolism, GH and IGF-1. We hypothesized that bone turnover peaks at the time of greatest pubertal GH secretion. DESIGN AND SUBJECTS: Subjects included 86 girls and boys, 9-17 years-old (BMI 10th-90th percentiles). Because higher endogenous GH secretion is associated with a higher nadir following oral glucose, we used the GH nadir following a 2-h OGTT as indicative of GH status. Fasting serum IGF-1, aminoterminal propeptide of type 1 procollagen (P1NP) and carboxy-terminal collagen crosslinks (CTX) were obtained. Subjects were grouped per expected timing of peak growth. Group 1: Tanner 1 girls and Tanner 1-2 boys (period preceding peak growth), Group 2: Tanner 2-3 girls and Tanner 3-4 boys (period of peak growth) and Group 3: Tanner 4-5 girls and Tanner 5 boys (period following peak growth). RESULTS: GH peaked at mid-puberty (Group 2) and IGF-1 in late puberty (Group 3). P1NP and CTX were highest in mid-puberty compared with early and late puberty (P = 0·0009 and 0·006 in girls and P = 0·005 and 0·04 in boys). GH, but not IGF-1, correlated with P1NP (r = 0·46 in both genders, P ≤ 0·008) and CTX (r = 0·37 and 0·38, P = 0·04 and 0·02 in girls and boys, respectively). Similarly, on regression modelling, GH (but not IGF-1) predicted both bone turnover markers in both genders. CONCLUSION: GH is strongly associated with pubertal bone metabolism, independent of systemic IGF-1 in girls and boys.

Development of the Falls Risk for Older People in the Community (FROP-Com) screening tool.

BACKGROUND: the aim of this study was to develop a brief screening tool for use in the emergency department (ED), to identify people who require further assessment and management. METHODS: this prospective study included 344 community-dwelling older people presenting to an ED after a fall. After direct discharge participants had a home-based assessment performed that included the Falls Risk for Older People in the Community (FROP-Com), a comprehensive, yet simple, multifactorial falls risk assessment tool. They were then monitored for falls for 12 months. The items from the FROP-Com assessment tool predictive of falls in a multifactorial logistic regression were used to develop the FROP-Com screen. RESULTS: the items significantly predictive of falls and combined to form the FROP-Com screen were: falls in the previous 12 months, observation of the person's balance and the need for assistance to perform domestic activities of daily living. At the cut-off with the highest Youden index sensitivity was 67.1% (95% CI 59.9-74.3) and specificity was 66.7% (95% CI 59.8-73.6). CONCLUSION: the FROP-Com screen has a relatively good capacity to predict falls. It can be used in time-limited situations to classify those at high risk of falls who require more detailed assessment and management.

Falls risk and functional decline in older fallers discharged directly from emergency departments.

BACKGROUND: There is currently no standard approach to falls risk assessment and management for older fallers presenting to the emergency department (ED) who are discharged directly home. Hence, this study was conducted to describe the prevalence of falls risk factors associated with older fallers presenting to the ED and to identify the factors associated with postdischarge decline in function in this group. METHODS: This cross-sectional study was performed with 300 community-dwelling individuals, aged 60 years or older, admitted to the ED following a fall, and discharged directly home. A home-based assessment after ED discharge was performed, which included the prevalence of falls risk factors, identification of functional decline, and objective measurements of balance, gait, depression, and falls efficacy. RESULTS: Fall-related injuries were sustained by 91% (95% confidence interval [CI], 87.2%-94.0%) of participants presenting to the ED. The most common falls risk factors identified in the home assessment were polypharmacy (79.0%, 95% CI, 73.9%-83.5%), home hazards (76.0%, 95% CI, 70.8%-80.7%), decreased balance (61.3%, 95% CI, 55.6%-66.9%), and arthritis (61.3%, 95% CI, 55.6%-66.9%). A decline in function was reported by 35% of participants (95% CI, 29.6%-40.7%). Sustaining a fracture, functional independence before the fall, being female, depression, and slower Timed Up and Go (TUG) scores were associated with a decline in function (p <.05). CONCLUSION: Older fallers discharged directly from the ED have a high prevalence of falls risk factors and are at risk of functional decline.