Miriam Wanner

Dr. Miriam Wanner

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2012 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
MWMiriam Wanner
Miriam Wanner
TGThomas Gotschi
Thomas Gotschi
EMEva Martin-Diener
Eva Martin-Diener
SKSonja Kahlmeier
Sonja Kahlmeier
BMBrian W. Martin
Brian W. Martin

1 June 2016 in Preventive Medicine Reports
Verified
Journal Article
Open access
MWMiriam Wanner
Miriam Wanner
NPNicole Probst-Hensch
Nicole Probst-Hensch
SKSusi Kriemler
Susi Kriemler
FMFlurina Meier
Flurina Meier
CAChristine Autenrieth
Christine Autenrieth
BMBrian W. Martin
Brian W. Martin
Little is known about the influence of age, gender and language on the measurement properties of the long International Physical Activity Questionnaire (IPAQ). The aim was to validate the long IPAQ in adults aged 18-84 in the German-, French- and Italian-speaking parts of Switzerland, focusing on differences between gender, age groups and language regions. This cross-sectional study was conducted in the frame of SAPALDIA (Swiss Cohort Study on Air Pollution and Lung and Heart Disease in Adults) in 2011. 346 participants (54.6% women, mean age 54.6 years) wore an Actigraph GT3X accelerometer during 8 days and completed the IPAQ. IPAQ and accelerometer data on total physical activity and on different intensities as well as sitting time were compared using Spearman correlations and Bland-Altman plots. Correlations were highest for vigorous physical activity (r = 0.41) and sitting time (r = 0.42). Significant gender differences were apparent for leisure-time physical activity (men: r = 0.35 versus women: r = 0.57, p = 0.012) and for sitting time (men: r = 0.28 versus women: r = 0.53, p = 0.007). Differences between age groups were present for sitting time (youngest: r = 0.72 versus middle: r = 0.36, p < 0.001; youngest versus oldest: r = 0.34, p = 0.001). Differences between language regions were present for vigorous physical activity (German: r = 0.28 versus Italian: r = 0.53, p = 0.033). IPAQ overestimated physical activity but underestimated sitting time. The long IPAQ showed moderate validity similar to other studies when compared to accelerometer data in a diverse sample of individuals. Some sex, age and regional differences were observed but do not seem to limit its applicability in population sub groups.

1 May 2016 in Environment International
Verified
Journal Article
Open access
MFMaria Foraster
Maria Foraster
IEIkenna C. Eze
Ikenna C. Eze
DVDanielle Vienneau
Danielle Vienneau
MBMark Brink
Mark Brink
CCChristian Cajochen
Christian Cajochen
NPNicole Probst-Hensch
Nicole Probst-Hensch
Noise annoyance (NA) might lead to behavioral patterns not captured by noise levels, which could reduce physical activity (PA) either directly or through impaired sleep and constitute a noise pathway towards cardiometabolic diseases. We investigated the association of long-term transportation NA and its main sources (aircraft, road, and railway) at home with PA levels. We assessed 3842 participants (aged 37-81) that attended the three examinations (SAP 1, 2, and 3 in years 1991, 2001 and 2011, respectively) of the population-based Swiss cohort on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA). Participants reported general 24-h transportation NA (in all examinations) and source-specific NA at night (only SAP 3) on an ICBEN-type 11-point scale. We assessed moderate, vigorous, and total PA from a short-questionnaire (SAP 3). The main outcome was moderate PA (active/inactive: cut-off≥150min/week). We used logistic regression including random effects by area and adjusting for age, sex, socioeconomic status, and lifestyles (main model) and evaluated potential effect modifiers. We analyzed associations with PA at SAP 3 a) cross-sectionally: for source-specific and transportation NA in the last year (SAP 3), and b) longitudinally: for 10-y transportation NA (mean of SAP 1+2), adjusting for prior PA (SAP 2) and changes in NA (SAP 3-2). Reported NA (score≥5) was 16.4%, 7.5%, 3%, and 1.1% for 1-year transportation, road, aircraft, and railway at SAP 3, respectively. NA was greater in the past, reaching 28.5% for 10-y transportation NA (SAP 1+2). The 10-y transportation NA was associated with a 3.2% (95% CI: 6%-0.2%) decrease in moderate PA per 1-NA rating point and was related to road and aircraft NA at night in cross-sectional analyses. The longitudinal association was stronger for women, reported daytime sleepiness or chronic diseases and it was not explained by objectively modeled levels of road traffic noise at SAP 3. In conclusion, long-term NA (related to psychological noise appraisal) reduced PA and could represent another noise pathway towards cardiometabolic diseases.

8 May 2017 in BMJ Open Sport & Exercise Medicine
Verified
Journal Article
Open access
PDF file
MWMiriam Wanner
Miriam Wanner
CHChristina Hartmann
Christina Hartmann
GPGiulia Pestoni
Giulia Pestoni
BMBrian Winfried Martin
Brian Winfried Martin
MSMichael Siegrist
Michael Siegrist
EMEva Martin-Diener
Eva Martin-Diener
Background/aim Little is known about the measurement properties of the self-administered Global Physical Activity Questionnaire (GPAQ) in Europe. The aim was to validate the self-administered GPAQ against accelerometry in Switzerland in German, French and Italian. Methods Participants of this cross-sectional study were recruited among members of the Swiss Food Panel (German-speaking and French-speaking samples) and as a convenience sample (Italian-speaking sample). They completed the GPAQ and wore an Actigraph GT3X+ accelerometer during 7 days in 2014/2015. GPAQ and accelerometer data on total physical activity and different intensities, as well as sitting time, were compared using Spearman correlations and Bland-Altman plots. Results Complete data were available for 354 participants (50.6% women, mean age: 47.0 years) on physical activity, and for 366 on sitting time. Correlations were highest for vigorous physical activity (r=0.46) and sitting time (r=0.47). A significant sex difference was apparent for vigorous physical activity (men: r=0.35 vs women: r=0.55; p=0.02). Some age differences were present especially for total physical activity, with the lowest correlations found for those aged 60+ years. The correlation for sitting time was significantly higher in the youngest age group (r=0.61) compared with the middle (r=0.38, p=0.01) and the oldest age groups (r=0.37, p=0.03). Total physical activity was 2.8 times higher according to the GPAQ than to accelerometer data. Conclusions The self-administered version of the GPAQ showed fair-to-moderate validity in the three languages tested, both for men and women and individuals aged ≤60 years. For older individuals, a careful interpretation of total physical activity is required.

14 June 2013 in British Journal of Sports Medicine
Verified
Journal Article
Closed access
PDF file
MWMiriam Wanner
Miriam Wanner
NPNicole Probst-Hensch
Nicole Probst-Hensch
SKSusi Kriemler
Susi Kriemler
FMFlurina Meier
Flurina Meier
ABAdrian Bauman
Adrian Bauman
BMBrian W Martin
Brian W Martin
Background Self-report instruments to assess physical activity are still the most feasible option in many population-wide surveys, and often need to be very short owing to resource constraints. The aim of this study was to test the criterion validity of a single-item physical activity measure using accelerometers and to compare its measurement properties by gender, age group (including older adults) and language region. Methods A validation study was carried out within the second follow-up of a large Swiss cohort study (Swiss Cohort Study on Air Pollution and Lung and Heart Disease in Adults, SAPALDIA, n=208) and included an additional convenient sample (n=110). Participants wore an accelerometer over eight consecutive days and then completed the single-item measure. Spearman's rank-order correlations were used to assess the criterion validity. Results Physical activity levels were higher in men, younger individuals and those from the German-speaking part of Switzerland. Correlation coefficients for the number of days with at least 30 min of moderate-to-vigorous physical activity according to the single item and different accelerometer activity outcomes ranged from 0.40 to 0.54. Correlations were higher for women, younger individuals and participants from the French-speaking and the Italian-speaking parts. Conclusions The single-item physical activity measure performed at least as well as other physical activity questionnaires. The differences in criterion validity between sub groups indicate that factors such as gender and age should be taken into account when developing physical activity questionnaires and in future validation studies.

11 January 2010 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
PDF file
DZDorith Zimmermann-Sloutskis
Dorith Zimmermann-Sloutskis
MWMiriam Wanner
Miriam Wanner
EZErwin Zimmermann
Erwin Zimmermann
BMBrian W Martin
Brian W Martin
Background: There is growing concern about physical inactivity in adolescents and young adults. Identifying determinants that are associated with low levels of physical activity and with changes in physical activity levels will help to develop specific prevention strategies. The present study describes the prevalence and potential determinants of physical activity behavior and behavior changes of young adults. The study is based on the Swiss Household Panel (SHP), a longitudinal study assessing social changes in a representative sample of Swiss households since 1999. Methods: Data is collected yearly using computer-assisted telephone interviews. Information is obtained from each household member over 14 years of age. Participants between 14 and 24 years entering the SHP between 1999 and 2006 were included (N = 3,068). "Inactive" was defined as less than 1 day/week of at least 30 minutes of moderate physical activity, "no sport" as exercising less than once a week. Age, gender, nationality, linguistic region, household income, education, membership in a sport club, reading, and Internet use were included as potential determinants of physical activity behavior and behavior change. Results: In both young men and young women, the prevalence of inactivity, "no sport", and non-membership in a sport club was increasing with age. Women were less active than men of the same age. From one wave to the following, 11.1% of young men and 12.1% of young women became active, and 11.9% of men and 13.7% of women became inactive, respectively (pooled data over all eight waves). Non-membership in a sport club was the strongest predictor for "no sport" (ORmen 6.7 [4.9-8.9]; ORwomen 8.1 [5.7-11.4]), but also for being inactive (OR 4.6 [3.5-6.0]; 4.6 [3.3-6.4]). Leaving a sport club (OR 7.8 [4.4-14.0]; 11.9 [5.9-24.1]) and remaining non-member (OR 7.8 [4.7-12.9]; 12.4 [6.4-24.1]) were the strongest predictors of becoming "no sport". Effects for becoming inactive were similar, though smaller (OR 5.9 [3.4-10.5] and 5.1 [2.7-9.6] for leaving a club, OR 5.1 [3.1-8.4] and 6.9 [4.0-11.8] for remaining non-member). Conclusions: The most important findings were the strong effects of sport club membership on general physical activity. The correlation between sport club membership and exercise was not surprising in its nature, but in its strength.