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.

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.

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.

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.