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Background: Physical inactivity is one of the main risk factors for cardiovascular disease,
which remains a major cause of death in Germany and around the globe. Thus, investigating
prevalences, population trends, high-risk groups, and intervention effects of physical activity
(PA) and sedentary time (ST) is highly relevant to public health. To receive reliable data, a
key issue in research is to apply an appropriate study design including the carefully
considered use of assessments. Otherwise, bias to PA and ST data may be introduced. The
present thesis investigates three often overlooked issues related to the impact of measurement
on PA and ST research data. The first aim was to examine whether mere measurement alters
PA and ST over the course of twelve months (study 1). The second aim was to identify
potential socio-demographic and cardiometabolic moderators of the mere-measurement effect
(study 2). The third aim was to present design, protocol, and preliminary results of an interim
analysis of a randomized controlled trial (RCT) aiming to test whether a video demonstration
of PA intensity levels reduces the lack of agreement between self-reported and objectively
measured PA (study 3).
Methods: Studies 1 and 2 were based on data of a trial to test the feasibility of a brief tailored
letter intervention to increase PA and to reduce ST during leisure time. Among a sample of
subjects with no history of myocardial infarction, stroke, or vascular interventions, a number
of 175 individuals aged 40 to 65 years participated in the study. At baseline, participants
received standardized measurement of blood pressure and waist circumference, blood sample
taking, and seven-day accelerometry. At baseline and after one, six, and twelve months,
participants completed the International Physical Activity Questionnaire (IPAQ). A random
subsample received a brief tailored letter intervention at months one, three, and four. A
number of 153 participants were included in study 1 using all available data across 12 months.
Changes in PA and ST were analyzed using latent growth modeling. For study 2, baseline and
one-month follow-up data of 175 participants were used. Dependence of one-month changes
in PA and ST on socio-demographic and cardiometabolic variables was analyzed using linear
regression models. In study 3, individuals aged between 40 and 75 years were recruited at a
shopping mall in Greifswald, Germany. Participants received seven-day accelerometry and
were invited to the cardiovascular examination center of the University Medicine Greifswald.
After random allocation to experimental and control group, they completed the selfadministered
IPAQ – Short Form via tablet-computer. The experimental group additionally
received a video demonstration of PA intensity levels before answering the questionnaire. A number of 131 participants were analyzed to receive preliminary results of an interim analysis
in order to verify the presumptions made for the a priori power calculation and to decide on
early stopping of the study. The difference between the study groups in the agreement
between self-reported and accelerometer-based PA was analyzed using a two-sample t-test.
Results: In study 1, results revealed no change in leisure-time PA, an increase in transportrelated
PA (p = .023), and a tendency towards a reduction of ST (p = .060) between baseline
and one-month assessment. Further, ST decreased between six and twelve months (p = .037).
Time trends of the intervention group did not differ significantly from those of the
assessment-only group. Results of study 2 revealed that men increased transport-related PA
more than women (p = .031) and men with higher triglycerides increased transport-related PA
less than men with lower triglycerides (p = .043). Men with higher systolic blood pressure
reduced ST more than those with lower systolic blood pressure (p = .028). However, this
linear association ceased to exist at a level of approximately 145 mmHg. A similar
relationship was found for glycated hemoglobin and ST in men. In study 3, preliminary
results of the interim analysis revealed a lower formal mean difference in the video group (M
= 21.8 min/day, SD = 108.9) compared to the control group (M = 41.0 min/day, SD = 117.4,
t(129) = 0.97, p = .166). The p-value lay between the significance (p < .010) and futility (p >
.269) boundaries of the test simulations.
Conclusions: Results of the present thesis have three implications for considering the impact
of PA and ST assessments in cardiovascular research. First, mere-measurement effects within
a feasibility trial were found in transport-related PA and ST suggesting to interfere with
potential intervention effects. Thus, measurement effects should be considered when planning
studies and interventions and when interpreting outcomes. Second, male sex and more
favorable triglycerides levels in men were associated with a higher increase of transportrelated
PA whereas worse health in men was associated with a higher reduction of ST. Thus,
using the mere-measurement effect for prevention purposes may require researchers and
practitioners to tailor PA and ST intervention components to individuals’ health condition.
Third, the design and protocol of the RCT seems appropriate to test the effect of a novel video
on the gap between self-reported and accelerometer-based PA. Preliminary results point to the
efficacy of the video.
This is the first study to analyze the association of accelerometer-measured patterns of habitual physical activity (PA) and sedentary behavior (SB) with serum BDNF in individuals with coronary heart disease. A total of 30 individuals (M = 69.5 years; 80% men) participated in this pre-post study that aimed to test a multi-behavioral intervention. All participants underwent standardized measurement of anthropometric variables, blood collection, self-administered survey, and accelerometer-based measurement of PA and SB over seven days. Serum BDNF concentrations were measured using enzyme-linked immunosorbent assay kit. We applied separate multiple linear regression analysis to estimate the associations of baseline SB pattern measures, light and moderate-to-vigorous PA with serum BDNF (n = 29). Participants spent 508.7 ± 76.5 min/d in SB, 258.5 ± 71.2 min/d in light PA, and 21.2 ± 15.2 min/d in moderate-to-vigorous PA. Per day, individuals had 15.5 ± 3.2 numbers of 10-to-30 min bouts of SB (average length: 22.2 ± 2.1 min) and 3.4 ± 1.2 numbers of > 30 min bouts of SB (average length: 43.8 ± 2.4 min). Regression analysis revealed no significant associations between any of the accelerometer-based measures and serum BDNF. The findings of this study did not reveal an association of accelerometer-measured PA and SB pattern variables with serum BDNF in individuals with coronary heart disease. In addition, our data revealed a considerable variation of PA and SB which should be considered in future studies.
Background
Long periods of uninterrupted sitting, i.e., sedentary bouts, and their relationship with adverse health outcomes have moved into focus of public health recommendations. However, evidence on associations between sedentary bouts and adiposity markers is limited. Our aim was to investigate associations of the daily number of sedentary bouts with waist circumference (WC) and body mass index (BMI) in a sample of middle-aged to older adults.
Methods
In this cross-sectional study, data were collected from three different studies that took place in the area of Greifswald, Northern Germany, between 2012 and 2018. In total, 460 adults from the general population aged 40 to 75 years and without known cardiovascular disease wore tri-axial accelerometers (ActiGraph Model GT3X+, Pensacola, FL) on the hip for seven consecutive days. A wear time of ≥ 10 h on ≥ 4 days was required for analyses. WC (cm) and BMI (kg m− 2) were measured in a standardized way. Separate multilevel mixed-effects linear regression analyses were used to investigate associations of sedentary bouts (1 to 10 min, >10 to 30 min, and >30 min) with WC and BMI. Models were adjusted for potential confounders including sex, age, school education, employment, current smoking, season of data collection, and composition of accelerometer-based time use.
Results
Participants (66% females) were on average 57.1 (standard deviation, SD 8.5) years old and 36% had a school education >10 years. The mean number of sedentary bouts per day was 95.1 (SD 25.0) for 1-to-10-minute bouts, 13.3 (SD 3.4) for >10-to-30-minute bouts and 3.5 (SD 1.9) for >30-minute bouts. Mean WC was 91.1 cm (SD 12.3) and mean BMI was 26.9 kg m− 2 (SD 3.8). The daily number of 1-to-10-minute bouts was inversely associated with BMI (b = -0.027; p = 0.047) and the daily number of >30-minute bouts was positively associated with WC (b = 0.330; p = 0.001). All other associations were not statistically significant.
Conclusion
The findings provide some evidence on favourable associations of short sedentary bouts as well as unfavourable associations of long sedentary bouts with adiposity markers. Our results may contribute to a growing body of literature that can help to define public health recommendations for interrupting prolonged sedentary periods.
Trial registration
Study 1: German Clinical Trials Register (DRKS00010996); study 2: ClinicalTrials.gov (NCT02990039); study 3: ClinicalTrials.gov (NCT03539237).