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1.
ERJ Open Res ; 6(4)2020 Oct.
Article in English | MEDLINE | ID: mdl-33083440

ABSTRACT

BACKGROUND: Maternal stress during pregnancy may negatively affect the health of mother and child. We therefore aimed to identify the proportion of women reporting high maternal stress in mid and late pregnancy and explore whether symptoms of maternal allergic disease are associated with perceived maternal stress in late pregnancy. METHOD: The population-based Preventing Atopic Dermatitis and Allergy in Children (PreventADALL) study enrolled 2697 pregnant women at their 18-week routine ultrasound examination in Norway and Sweden. Information about sociodemographic factors, symptoms and doctor-diagnosed asthma, allergic rhinitis, atopic dermatitis, food allergy, and anaphylaxis and stress using the 14-item perceived stress scale (PSS) was collected at 18 weeks (mid) and 34 weeks (late) pregnancy. High stress was defined as a PSS score ≥29. Scores were analysed using multivariate logistic and linear regression. RESULTS: Among the 2164 women with complete PSS data, 17% reported asthma, 20% atopic dermatitis, 23% allergic rhinitis, 12% food allergy and 2% anaphylaxis. The proportion of women reporting high stress decreased from 15% at mid to 13% at late pregnancy (p<0.01). The adjusted odds ratio for high stress in late pregnancy was 2.25 (95% CI 1.41-3.58) for self-reported symptoms of asthma, 1.46 (95% CI 1.02-2.10) for allergic rhinitis and 2.25 (95% CI 1.32-3.82) for food allergy. A multivariate linear regression model confirmed that symptoms of asthma (ß coefficient 2.11; 0.71-3.51), atopic dermatitis (ß coefficient 1.76; 0.62-2.89) and food allergy (ß coefficient 2.24; 0.63-3.84) were independently associated with increased PSS score. CONCLUSION: Allergic disease symptoms in pregnancy were associated with increased stress, highlighting the importance of optimal disease control in pregnancy.

2.
Respir Med ; 101(3): 496-502, 2007 Mar.
Article in English | MEDLINE | ID: mdl-16914300

ABSTRACT

AIM: To examine tobacco use among teenagers, identify factors related to tobacco use, as well as evaluate the outcome of a smoking prevention program. METHODS: From age 7/8 to 14/15, annual questionnaires about asthma and allergy have been completed in the OLIN paediatric study in Northern Sweden. From 12/13 years, questions about tobacco use, i.e. smoking and snuff, were added. A smoking prevention program was performed during 2 years. RESULTS: Any tobacco use increased from 5.0% at age 12/13 years, to 14.4% at age 14/15. At age 14/15 years, the prevalence of tobacco use was significantly higher among boys than girls (16.7 and 12.0%, respectively). More girls than boys smoked (8.9 and 2.8%, respectively), while use of snuff was more common among the boys (15.6 and 4.2%, respectively). Significant risk factors for smoking were any of the family members currently smoking, OR 6.1 (95% CI 4.0-9.3) and a physician-diagnosed asthma at the age of 14/15 years, OR 1.9 (95% CI 1.2-3.0). A protective factor against tobacco use was participation in sports, OR 0.3 (95% CI 0.2-0.4). The prevention program did not result in less tobacco use, although it may have delayed smoking initiation. CONCLUSION: The patterns of tobacco use differed significantly between boys and girls. Though any tobacco use was more common among boys, girls were more likely to smoke, and boys were more likely to use snuff. Having asthma did not prevent the teenagers from smoking. Since having a smoking family member was the major risk factor for tobacco use, prevention programs should be directed at smoking families in addition to the individuals.


Subject(s)
Adolescent Behavior/psychology , Smoking/psychology , Adolescent , Age Distribution , Asthma/epidemiology , Child , Family Characteristics , Female , Humans , Longitudinal Studies , Male , Prevalence , Risk Factors , Sex Distribution , Smoking/epidemiology , Smoking Prevention , Sports , Sweden/epidemiology , Tobacco, Smokeless
3.
Respir Med ; 100(2): 264-72, 2006 Feb.
Article in English | MEDLINE | ID: mdl-15975774

ABSTRACT

BACKGROUND: There is a lack of epidemiological data on COPD by disease severity. We have estimated the prevalence and underdiagnosis of COPD by disease severity defined by the British Thoracic Society (BTS) and Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. The impact of smoking was evaluated by the population attributable fraction of smoking in COPD. METHODS: A random sample of 1500 responders of the third postal survey performed in 1996 of the Obstructive Lung Disease in Northern Sweden (OLIN) Studies' first cohort (6610 subjects recruited in 1985) were invited to structured interview and spirometry. One thousand two hundred and thirty-seven subjects (82%) performed spirometry. RESULTS: The prevalence of mild BTS-COPD was 5.3%, moderate 2.2%, and severe 0.6% (GOLD-COPD: mild 8.2%, moderate 5.3%, severe 0.7%, and very severe 0.1%). All subjects with severe COPD were symptomatic, corresponding figures among mild COPD were 88% and 70% (BTS and GOLD), Subjects with severe BTS-COPD reported a physician-diagnosis consistent with COPD in 50% of cases, in mild BTS-COPD 19%, while in mild GOLD-COPD only 5% of cases. The major risk factors, age and smoking, had a synergistic effect on the COPD-prevalence. The Odds Ratio (OR) for having COPD among smokers aged 76-77 years was 59 and 34 (BTS and GOLD) when non-smokers aged 46-47 was used as reference population. CONCLUSIONS: Most subjects with COPD have a mild disease. The underdiagnosis is related to disease-severity. Though being symptomatic, only a half of the subjects with severe COPD are properly labelled. Smoking and increasing age were the major risk factors and acted synergistic.


Subject(s)
Diagnostic Errors/statistics & numerical data , Pulmonary Disease, Chronic Obstructive/epidemiology , Smoking/adverse effects , Age Distribution , Aged , Aged, 80 and over , Female , Forced Expiratory Volume/physiology , Humans , Male , Middle Aged , Multivariate Analysis , Prevalence , Pulmonary Disease, Chronic Obstructive/diagnosis , Risk Factors , Smoking/epidemiology , Sweden/epidemiology , Vital Capacity/physiology
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