Health-related quality of life and risk factors associated with spirometric restriction.

The restrictive spirometric pattern is associated with a substantial morbidity and mortality burden. We sought to determine to what extent spirometric restriction is associated with impaired quality of life.We used data from two large population-based European cohorts: 6698 European Community Respiratory Health Survey (ECRHS) and 6069 Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA) adult participants. The restrictive pattern was defined as forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ≥lower limit of normal (LLN) and FVC <LLN; an obstructive pattern was defined as FEV1/FVC <LLN independent of FVC. The Physical Component Summary and Mental Component Summary of quality of life were computed using the Short Form-36 questionnaire.In both cohorts, the restrictive pattern was associated with heavy smoking, being underweight or obese and the coexistence of respiratory symptoms. In univariate analyses, compared with the normal group, both the restrictive and obstructive pattern had significant Physical Component Summary deficits (-2.77 and -2.08, respectively, in ECRHS; -3.25 and -2.14, respectively, in SAPALDIA; all p-values <0.001). However, in models adjusted for sex, age, education, body mass index, smoking, comorbidities and respiratory symptoms, only the restrictive pattern remained significantly associated with Physical Component Summary deficits (p=0.004 in ECRHS; p=0.001 in SAPALDIA).The restrictive spirometric pattern is associated with deficits in the physical component of quality of life that are partly independent of the presence of respiratory symptoms

Physical activity and body mass related to catch-up lung function growth in childhood:a population-based accelerated cohort study

Objective The existence of catch-up lung function growth and its predictors is uncertain. We aimed to identify lung function trajectories and their predictors in a population-based birth cohort.Methods We applied group-based trajectory modelling to z-scores of forced expiratory volume in 1 second (zFEV1) and z-scores of forced vital capacity (zFVC) from 1151 children assessed at around 4, 7, 9, 10, 11, 14 and 18 years. Multinomial logistic regression models were used to test whether potential prenatal and postnatal predictors were associated with lung function trajectories.Results We identified four lung function trajectories: a low (19% and 19% of the sample for zFEV1 and zFVC, respectively), normal (62% and 63%), and high trajectory (16% and 13%) running in parallel, and a catch-up trajectory (2% and 5%) with catch-up occurring between 4 and 10 years. Fewer child allergic diseases and higher body mass index z-score (zBMI) at 4 years were associated with the high and normal compared with the low trajectories, both for zFEV1 and zFVC. Increased children’s physical activity during early childhood and higher zBMI at 4 years were associated with the catch-up compared with the low zFEV1 trajectory (relative risk ratios: 1.59 per physical activity category (1.03–2.46) and 1.47 per zBMI (0.97–2.23), respectively). No predictors were identified for zFVC catch-up growth.Conclusion We found three parallel-running and one catch-up zFEV1 and zFVC trajectories, and identified physical activity and body mass at 4 years as predictors of zFEV1 but not zFVC catch-up growth

Physical activity and body mass related to catch-up lung function growth in childhood:a population-based accelerated cohort study

Objective The existence of catch-up lung function growth and its predictors is uncertain. We aimed to identify lung function trajectories and their predictors in a population-based birth cohort.Methods We applied group-based trajectory modelling to z-scores of forced expiratory volume in 1 second (zFEV1) and z-scores of forced vital capacity (zFVC) from 1151 children assessed at around 4, 7, 9, 10, 11, 14 and 18 years. Multinomial logistic regression models were used to test whether potential prenatal and postnatal predictors were associated with lung function trajectories.Results We identified four lung function trajectories: a low (19% and 19% of the sample for zFEV1 and zFVC, respectively), normal (62% and 63%), and high trajectory (16% and 13%) running in parallel, and a catch-up trajectory (2% and 5%) with catch-up occurring between 4 and 10 years. Fewer child allergic diseases and higher body mass index z-score (zBMI) at 4 years were associated with the high and normal compared with the low trajectories, both for zFEV1 and zFVC. Increased children’s physical activity during early childhood and higher zBMI at 4 years were associated with the catch-up compared with the low zFEV1 trajectory (relative risk ratios: 1.59 per physical activity category (1.03–2.46) and 1.47 per zBMI (0.97–2.23), respectively). No predictors were identified for zFVC catch-up growth.Conclusion We found three parallel-running and one catch-up zFEV1 and zFVC trajectories, and identified physical activity and body mass at 4 years as predictors of zFEV1 but not zFVC catch-up growth

Risk of Several Cancers is Higher in Urban Areas after Adjusting for Socioeconomic Status. Results from a Two-Country Population-Based Study of 18 Common Cancers

Some studies suggest that there are urban–rural variations in cancer incidence but whether these simply reflect urban–rural socioeconomic variation is unclear. We investigated whether there were urban–rural variations in the incidence of 18 cancers, after adjusting for socioeconomic status. Cancers diagnosed between 1995 and 2007 were extracted from the population-based National Cancer Registry Ireland and Northern Ireland Cancer Registry and categorised by urban–rural status, based on population density of area of residence at diagnosis (rural <1 person per hectare, intermediate 1–15 people per hectare, urban >15 people per hectare). Relative risks (RR) were calculated by negative binomial regression, adjusting for age, country and three area-based markers of socioeconomic status. Risks were significantly higher in both sexes in urban than rural residents with head and neck (males RR urban vs. rural = 1.53, 95 % CI 1.42–1.64; females RR = 1.29, 95 % CI 1.15–1.45), esophageal (males 1.21, 1.11–1.31; females 1.21, 1.08–1.35), stomach (males 1.36, 1.27–1.46; females 1.19, 1.08–1.30), colorectal (males 1.14, 1.09–1.18; females 1.04, 1.00–1.09), lung (males 1.54, 1.47–1.61; females 1.74, 1.65–1.84), non-melanoma skin (males 1.13, 1.10–1.17; females 1.23, 1.19–1.27) and bladder (males 1.30, 1.21–1.39; females 1.31, 1.17–1.46) cancers. Risks of breast, cervical, kidney and brain cancer were significantly higher in females in urban areas. Prostate cancer risk was higher in rural areas (0.94, 0.90–0.97). Other cancers showed no significant urban–rural differences. After adjusting for socioeconomic variation, urban–rural differences were evident for 12 of 18 cancers. Variations in healthcare utilization and known risk factors likely explain some of the observed associations. Explanations for others are unclear and, in the interests of equity, warrant further investigation

Cleaning at home and at work in relation to lung function decline and airway obstruction

Rationale: Cleaning tasks may imply exposure to chemical agents with potential harmful effects to the respiratory system, and increased risk of asthma and respiratory symptoms among professional cleaners and in persons cleaning at home has been reported. Long-term consequences of cleaning agents on respiratory health are, however, not well described. Objectives: This study aimed to investigate long-term effects of occupational cleaning and cleaning at home on lung function decline and airway obstruction. Methods: The European Community Respiratory Health Survey (ECRHS) investigated a multicenter population-based cohort at three time points over 20 years. A total of 6,235 participants with at least one lung function measurement from 22 study centers, who in ECRHS II responded to questionnaire modules concerning cleaning activities between ECRHS I and ECRHS II, were included. The data were analyzed with mixed linear models adjusting for potential confounders. Measurements and Main Results: As compared with women not engaged in cleaning (ΔFEV1 = −18.5 ml/yr), FEV1 declined more rapidly in women responsible for cleaning at home (−22.1; P = 0.01) and occupational cleaners (−22.4; P = 0.03). The same was found for decline in FVC (ΔFVC = −8.8 ml/yr; −13.1, P = 0.02; and −15.9, P = 0.002; respectively). Both cleaning sprays and other cleaning agents were associated with accelerated FEV1 decline (−22.0, P = 0.04; and −22.9, P = 0.004; respectively). Cleaning was not significantly associated with lung function decline in men or with FEV1/FVC decline or airway obstruction. Conclusions: Women cleaning at home or working as occupational cleaners had accelerated decline in lung function, suggesting that exposures related to cleaning activities may constitute a risk to long-term respiratory health