Publications by authors named "Terhi Kankaanranta"

The aim of this study was to evaluate the effect of smoking on lung function decline in adult-onset asthma in a clinical, 12-year follow-up study.In the Seinäjoki Adult Asthma Study, 203 patients were followed for 12 years (1999-2013) after diagnosis of new-onset adult asthma. Patients were divided into two groups based on smoking history: <10 or ≥10 pack-years.

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The effect of systemic inflammation and comorbidities on treatment and outcome of adult-onset asthma remains unknown and is the objective of this study.As part of the Seinäjoki Adult Asthma Study (SAAS) with a 12-year follow-up, serum interleukin (IL)-6, high-sensitivity C-reactive protein (hsCRP) and lung function were measured and clinical information on comorbidities and medication collected from 170 patients with adult-onset asthma without chronic obstructive pulmonary disease.At follow-up visit, 54% of the patients had systemic inflammation as indicated by elevated IL-6 or hsCRP, 58% had at least one comorbidity and 30% at least two comorbidities (other than asthma related).

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Rationale: Long-term prognosis of adult-onset asthma is poorly known.

Objective: To evaluate 12-year prognosis of adult-onset asthma and the factors associated with disease prognosis.

Methods: Seinäjoki Adult-onset Asthma Study (SAAS) is a 12-year real-life single-center follow-up study of new-onset asthma diagnosed at adult age and treated in primary and specialized care.

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This study is based on a unique data set for the years 1988-2003 and uses structural equation models to examine the impact of job satisfaction and job dissatisfaction on physicians' intention to switch from public- to private-sector work. In Finland, physicians who work primarily in a public-hospital or health-centre setting can also run a private practice. Therefore, we also analysed the impact of having a private practice on a physician's intention to change sector.

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Objective: To analyse factors affecting physicians' choice to work in either the public or the private sector.

Method: We undertook a longitudinal data analysis in the years 1988, 1993, 1998 and 2003 (n = 12 909) using a multilevel modelling technique. Factors related to economic factors, physician identity, appreciation as well as demographic factors were hypothesised to influence sector choice.

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