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Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey

Running head: physical activity during the COVID-19 restrictions

BMC Public Health volume 24, Article number: 433 (2024) Cite this article

Abstract

Background

The COVID-19 pandemic restrictions posed challenges to maintaining healthy lifestyles and physical well-being. During the first mobility restrictions from March to mid-July 2020, the German population was advised to stay home, except for work, exercise, and essential shopping. Our objective was to comprehensively assess the impact of these restrictions on changes in physical activity and sedentary behavior to identify the most affected groups.

Methods

Between April 30, 2020, and May 12, 2020, we distributed a COVID-19-specific questionnaire to participants of the German National Cohort (NAKO). This questionnaire gathered information about participants’ physical activity and sedentary behavior currently compared to the time before the restrictions. We integrated this new data with existing information on anxiety, depressive symptoms, and physical activity. The analyses focused on sociodemographic factors, social relationships, physical health, and working conditions.

Results

Out of 152,421 respondents, a significant proportion reported altered physical activity and sedentary behavioral patterns due to COVID-19 restrictions. Over a third of the participants initially meeting the WHO’s physical activity recommendation could no longer meet the guidelines during the restrictions. Participants reported substantial declines in sports activities (mean change (M) = -0.38; 95% CI: -.390; -.378; range from -2 to + 2) and reduced active transportation (M = -0.12; 95% CI: -.126; -.117). However, they also increased recreational physical activities (M = 0.12; 95% CI: .117; .126) while engaging in more sedentary behavior (M = 0.24; 95% CI: .240; .247) compared to pre-restriction levels. Multivariable linear and log-binomial regression models indicated that younger adults were more affected by the restrictions than older adults. The shift to remote work, self-rated health, and depressive symptoms were the factors most strongly associated with changes in all physical activity domains, including sedentary behavior, and the likelihood to continue following the physical activity guidelines.

Conclusions

Mobility patterns shifted towards inactivity or low-intensity activities during the nationwide restrictions in the spring of 2020, potentially leading to considerable and lasting health risks.

Peer Review reports

Introduction

In response to the COVID-19 pandemic, governments worldwide implemented various forms of lockdown to mitigate the spread of SARS-CoV-2. However, these measures also raised concerns about the potentially negative effects of physical inactivity resulting from such restrictions [1]. On March 22nd, 2020, the German government introduced a series of prevention and control measures to curb the spread of the virus. These measures included closing schools and restaurants, nationwide contact restrictions, travel warnings, and home quarantine [2].

Unavoidably, restricted travel and outdoor activity disrupted people’s daily routines and daily activities, leading to reduced levels of physical activity, along with increased sedentary behavior and more screen time. Nevertheless, scholars emphasized the importance of sustaining physical activity at home to maintain good health and bolster the immune system function in this challenging environment [3, 4]. Regular physical activity has been linked to improved immune function, respiratory health, and a reduction in systemic inflammation, potentially offering protection against infections like COVID-19 [5].

Recent research overviews highlighted a global decline in physical activity levels due to COVID-19-related restrictions [6,7,8]. National and international ad hoc online surveys have consistently shown a reduced engagement in physical activities and a rise in sedentary behavior [9,10,11,12]. Large cohort studies conducted in the UK, France, the US, and Australia corroborate this decline in physical activity during the COVID-19 restrictions [13,14,15,16].

Thereby, the ability to remain physically active during the lockdown and mobility restrictions may depend on various factors, including (1) individual characteristics such as age, education, mental and physical health, (2) social factors like working conditions and social support, as well as (3) environmental conditions, as the local COVID-19 incidence rates [17].

Divergent responses across age groups have emerged. Older adults might have exhibited greater caution when leaving their homes due to chronic health conditions, while younger adults might have experienced more disruptions to their daily routines. Changes in working hours and conditions, along with the closure of leisure establishments and childcare facilities, might have impacted the everyday lives of younger adults. In the US, younger individuals have shown reduced physical activity and increased sedentary behavior, with extended periods of sitting and screen time [15]. Conversely, a French cohort revealed that older adults experienced the most decrease in physical activity [14]. In a UK cohort, the youngest and the oldest age groups were mostly affected, while middle-aged individuals were the least affected [16]. Across all age groups, previously physically active individuals experienced a more substantial decline in physical activity than those who were relatively inactive before. Similar patterns have been observed in several studies conducted in Canada, Spain, and Brazil during the COVID-19 restrictions [18,19,20].

The COVID-19 pandemic has had a wide range of psychological and social effects, with heightened fears of illness and death, along with feelings of helplessness, leading to increased symptoms of depression and anxiety [21, 22]. Therefore, physical activity has been proposed as a remedy to counter the impact of stay-at-home orders on mental health. A recent review indicated that physically active individuals in all age groups reported higher well-being, quality of life, and fewer depressive symptoms, anxiety, and stress [23].

Studies have highlighted a rise in self-reported loneliness amid the COVID-19 mobility restrictions [24, 25]. This increase in loneliness serves as a notable barrier to staying physically active, a challenge that has become especially prominent during the pandemic [26]. During this period, assessments conducted in daily life showed that increased loneliness levels correlated, within individuals, with reduced engagement in moderate-to-vigorous physical activity [27].

Additionally, the shift to working from home might have significantly altered physical activity and sedentary behavior [28]. A systematic review by Wilms et al. found that working from home was related to increased sedentary time and decreased engagement in all dimensions of physical activity [29].

Assessing the impact of the COVID-19 restrictions on physical activity and sedentary behavior in high-risk and vulnerable populations is globally recognized as a critical necessity [30]. The present study utilizes data from the German National Cohort (NAKO Gesundheitsstudie, NAKO) to investigate the pandemic’s impact and the consequences of mobility restrictions on daily physical activity patterns in Germany. Based on the literature, we hypothesized that during mobility restrictions, physical activity decreased and sedentary time increased throughout the German population. Additionally, we anticipate observing distinctly altered physical activity patterns based on participants’ characteristics, social factors, and environmental conditions.

Methods

Study population

NAKO is a population-based German cohort study that includes randomly selected participants from the general population. The primary aim of NAKO is to investigate the etiology of major chronic diseases, their preclinical stages, and functional health impairments. The study conducted baseline examinations at 18 regional study centers between 2014 and 2019, enrolling 205,053 participants aged 20 to 69 years. Notably, the study oversampled individuals above 40 years of age [31]. Inclusion criteria encompassed age between 20 and 69 years, proficiency in the German language, and residency in one of the 18 study regions. Informed consent was obtained from all subjects involved in the study. Ethics committees of all 18 study centers approved the NAKO study protocol.

A specific questionnaire tailored to COVID-19 was administered between April 30, 2020, and May 12, 2020, to all 197,834 participants who consented to be contacted again. Participants with a valid e-mail address received the questionnaire electronically through a web-based survey tool. For those without e-mail addresses, a paper questionnaire was sent by mail. Participants self-reported demographic information, information about COVID-19-related restrictions they were adhering to, alterations in COVID-19-related health behaviors, and their mental health status for anxiety and depressive symptoms. Baseline data were utilized to monitor shifts in anxiety and depressive symptoms over time.

Measurement of physical activity in the COVID questionnaire and the baseline assessment of NAKO

The COVID questionnaire asked two questions about physical activity and sedentary behavior. The initial question focused on changes in physical activity and sedentary behavior due to pandemic-related restrictions, inquiring: “How has your physical activity changed due to the coronavirus pandemic in the following domains?” The following six domains served as separate outcomes: 1) physical activity at work, 2) household activities, 3) recreational activities (e.g., gardening, recreational walking), 4) sports activities (e.g., running, strength training), 5) activities for transport, and 6) sedentary behavior. The response options included “much less than before” (-2), “a little less than before” (-1), “the same” (0), “a little more than before” (1), and “much more than before” (2).

A subsequent question documented the adherence to the WHO physical activity guidelines (i.e., 150 min of moderate-to-vigorous (MVPA) throughout the week). Participants stated the number of days they engaged in moderate-to-vigorous physical activity, posing the query, “How many days per week did you usually participate in physical activity for 30 min or more, causing an increased breathing rate?”. This was assessed separately for the time before and during the COVID-related restrictions. Individuals were categorized into four groups based on their physical activity trajectories considering both time points: (1) “maintenance category” for those adhering to the WHO guidelines at both time points, (2) “non-achieving category” for those falling below recommended physical activity levels at both time points, (3) “increasing category” for those initially not meeting the recommendations but enhancing activity to reach the guidelines during the restrictions, and (4) “decreasing category” for those unable to maintain recommended activity levels.

Exposure measures

Baseline physical activity was used as an exposure measure to account for the participant’s physical activity levels before the mobility restrictions. It was assessed using the German self-administered version of the Global Physical Activity Questionnaire (GPAQ) [32]. The GPAQ encompassed sedentary behavior and three domains of physical activity: work, transport, and leisure-time physical activity. Participants were queried about their engagement in each activity performed for at least 10 min during a typical week and the daily time allocated to each activity. Additionally, the questionnaire asked separately how much of the work and leisure-time physical activity was performed on a moderated and vigorous level. Vigorous-intense activities induced notably increased breathing, while moderate-intensity activities led to slightly heavier breathing. Physical activity scores were derived by multiplying the frequency and duration of activities. Total physical activity time was calculated from leisure and transport activities. Work-related physical activity was not included in the total score. The GPAQ demonstrated a moderate-to-weak correlation with accelerometry in previous studies, ranging from 0.17 to 0.34 for moderate physical activity and 0.10 to 0.64 for vigorous physical activity [33].

Mental and physical health

Participants completed the Patient Health Questionnaire-Depression module (PHQ-9) [34] and the General Anxiety Disorder Scale (GAD-7) [35] at baseline and in the COVID-specific questionnaire. The total scores ranged from 0 to 27 and 0 to 21, respectively, with higher scores indicating more depressive symptoms or anxiety levels. Both scales demonstrated high internal consistency, with Cronbach’s α = 0.87 and α = 0.86, respectively. Self-reported physical health was assessed on a 5-point Likert scale ranging from 1 “poor” to 5 “excellent”. Additionally, participants gauged their current health compared to pre-COVID-19 conditions on a 5-point Likert scale spanning “much worse now than before (0)” to “much better now than before (5)”.

Assessment of working conditions during COVID-19

Working condition changes due to COVID-19 were surveyed. Response options, on a multi-choice scale, encompassed reduced working hours, increased working hours, switched to remote work, and terminated employment.

Loneliness

Derived from the UCLA Loneliness Scale [36] and translated into German [37], the loneliness scale evaluated participants’ frequency of experiencing loneliness through indicators like missing company, feeling like an outsider, and social isolation. Responses ranged on a 5-point Likert scale from “never” = 0 to “very often” = 4 (range 0 – 12), with higher values denoting greater loneliness. This scale exhibited high internal consistency (Cronbach’s α = 0.73).

Demographic characteristics

Baseline demographic data encompassed age, sex, highest education level (using the International Standard Classification of Education 97 (ISCED-97)), migration background, sports club membership, and detailed household composition, including the presence of children under nine years old.

Environmental measures

Existing evidence indicated that heightened incidence rates correlated with restrictions in daily activities [10]. Therefore, regional COVID-19 incident cases were obtained from official registries coinciding with completing the individual COVID-19 questionnaire. When regional incident rates surpassed three times the national mean, they were categorized as exceptionally high. An indicator variable addressed exceptionally high regional incidence rates. Another indicator variable accounted for the late return of questionnaires in June 2020, when COVID-19 regulations had been loosened.

Taken together, we accounted for twenty-one factors, including six participant characteristics, four social measures, two environmental variables, four work-related information, and five aspects of physical and mental health.

Statistical analysis

Out of 197,834 initially contacted participants, 160,252 completed the COVID-19 questionnaires. Exclusions included 7,831 respondents returning their questionnaire after June 30, 2020, implausible physical activity patterns (simultaneous sharp increase in all activities and sedentary time), or missing information on all physical activity measures (Supplement 1). Missing data analysis indicated comparability to the final analytic sample of 152,421 individuals regarding mean age, health status or depressive symptoms, and baseline physical activity. Missing data from exposure measures were replaced using multiple imputations (Supplement 2). Multiple imputations generated ten datasets using chained equations. Continuous data were imputed with linear regression. For categorical measures, we applied ordinal logistic regression. Estimates from these datasets were pooled using Rubin’s rules [38].

Descriptive statistics summarized the analytic study sample of 152,421 individuals, presenting means and standard deviations (SDs) for continuous variables and proportions for categorical variables. Log-binomial regression models were fitted for categorized data, exploring shifts in adhering to the 150 min of MVPA per week guideline. Comparisons involved the “decreasing” with “maintenance”, and the “increasing” vs. “never achieving” categories. We examined variations in several physical activity domains and sedentary behavior by applying multivariable linear regression models. All models were adjusted for baseline physical activity, individual characteristics, social influences, and environmental characteristics to pinpoint the most relevant factors linked to self-reported physical activity and sedentary behavior changes during COVID-19 restrictions.

We additionally reported the effect size based on Cohen’s f2, which allows an evaluation of local effect size within the context of the multivariate regression model. Values of 0.02, 0.30, and 0.5 denoted small, medium, and large effects, respectively [39]. Lastly, we examined potential effect modification by age. Analyses were conducted using STATA 15.0 (College Station, Texas, USA).

Results

Table 1 presents NAKO participants’ characteristics. In brief, participants (N = 152,421) were, on average, 53.7 years old (median = 55, IQR = 46—64), and 52.1% were female. The majority cohabited with partners, and 10.6 percent lived together with children under nine years old. Over a quarter of respondents reported altered working conditions due to the COVID-19 pandemic or the associated restrictions, with a switch to remote work (28.1%) as the most frequent answer.

Table 1 Characteristics of the study sample (N = 152,421)
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Regarding the five physical activity domains and sedentary behavior, 32.6% to 54.6% of participants reported modified patterns due to COVID-19-related restrictions (Supplement 3). Participants engaged in fewer days of sufficient MVPA on average (MPre-COVID = 3.1 days; MCOVID = 2.6 days, p < 0.001), and 39.4% of those who adhered to the WHO physical activity guidelines before the pandemic fell below the threshold after the onset of the COVID-19 restrictions. Moreover, on the 5-point Likert scale ranging from -2 to + 2, respondents reported fewer sports activities (M = -0.38; 95% confidence intervals (CI): -0.390; -0.378), fewer physical activities for transport (M = -0.12; 95% CI: -0.126; -0.117), and increased sedentary behavior (M = 0.24; 95% CI: 0.240; 0.247). Simultaneously, recreational physical activities (M = 0.12; 95% CI: 0.117; 0.126) were performed more often compared to pre-restriction levels (Fig. 1). Notably, the most substantial change in physical activity and sedentary behavior occurred among individuals aged 19 to 40 years (Fig. 2).

Fig. 1
figure 1

Mean changes in different domains of physical activity on a 5-point Likert Scale ranging from -2 (much less than before) to + 2 (much more than before) ordered by the amount of change

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Fig. 2
figure 2

Changes in different age groups by sedentary behavior and domains of physical activity ranging from -2 (much less than before) to + 2 (much more than before)

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Multivariable log-binomial regression analyses were conducted for trajectories aligning with WHO’s physical activity guidelines (Table 2), and multivariate linear regression models were applied for the five physical activity domains and sedentary behavior (Table 3). Working condition shifts, depressive symptoms and physical health were all substantially associated with alterations in physical activity and sedentary behavior (Tables 2 and 3). Those transitioning to remote work reported reduced physical activity at work (β = -0.28; 95% CI: -0.283; -0.274; f2 = 0.07) and less time spent on active transport (β = -0.10; 95% CI: -0.101; -0.091; f2 = 0.02). But they also reported being concurrently more sedentary (β = 0.19; 95% CI: 0.186; 0.196 f2 = 0.03) and were more likely to deviate from activity guidelines (OR = 2.05; 95% CI: 1.94; 2.17) compared to those remaining active.

Table 2 Log-binomial regressions for the relationship between participants’ characteristics and meeting the physical activity guidelines of 150 min per week before and after the COVID-19 restrictions
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Table 3 Linear regressions for the relationship between participants’ characteristics and increases in time spent in various physical activity domains compared to pre-COVID states
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Better perceived health compared to the pre-COVID-19 restrictions correlated with more sports (β = 0.17; 95% CI: 0.161, 0.177; f2 = 0.03) and recreational activities (β = 0.13; 95% CI: 0.122; 0.132; f2 = 0.02). Conversely, more depressive symptoms reported at the baseline assessment were related to less recreational activities during the mobility restrictions (β = -0.10.; 95% CI:  -0.110; -0.092; f2 = 0.004), particularly if symptoms worsened since baseline. Individuals with depressive symptoms were also more likely to forgo the physical activity guidelines (OR = 1.05; 95% CI:  1.04; 1.06) than those remaining physically active.

Further analyses revealed that increased depressive symptoms since baseline assessment had a more pronounced effect on sedentary time, particularly among younger respondents. An interaction effect between age and increased depressive symptoms reached statistical significance for sedentary behavior (β = -0.02; 95% CI: -0.027; -0.017), indicating a heightened impact on younger individuals’ sedentary behavior (Supplement 4).

The models also identified significant negative relationships with educational attainment, loneliness, migration background, and exceptionally high regional COVID-19 incidence rates, though with small effect sizes (Tables 2 and 3). A comparison between questionnaires that were returned in June’s first and second halves showed no differences in the estimators.

Discussion

The present study, encompassing 152,421 adults across various age groups, provides valuable insight into shifts in physical activity patterns at the onset of the COVID-19 pandemic in Germany. Most participants reported reduced physical activity levels, an increase in sedentary time, and more household chores during the COVID-19 restrictions between April and June 2020. Notably, over a third of the participants no longer met the WHO’s physical activity guidelines. These findings align with previous studies documenting similar alterations in physical activity habits during COVID-19 restrictions [8]. For instance, a UK cohort study recorded a 30% decline in the likelihood of engaging in any physical activity [16]. Similarly, a French study reported that over half of participants decreased their physical activity levels and increased sedentary time [14]. In our study, it is remarkable that 32.5 percent reported more recreational activities and 16.2 percent more sports activities than before the COVID-19-related restrictions restrained their activity. Also, six percent initiated efforts to meet the physical activity guidelines despite the challenging conditions of being physically active.

Contrary to our expectations, our study did not find evidence of a substantial decline in physical activity among older adults who, due to their heightened vulnerability, may have been more cautious and restricted their daily activities. Conversely, young adults reported the most significant negative changes across all physical activity domains and sedentary behavior. Specifically, younger adults experienced a notable increase in sedentary time and household activities, coupled with a reduction in work-related activities and time spent on transport. No distinct age-related pattern was observed for sports activities. These findings are consistent with other studies, such as that by Bu et al. [40], which found decreasing physical activity levels in younger adults in England, and smartphone tracking studies in Canada that reported similar results [18]. The more pronounced decline in physical activity among younger adults may be attributed to their higher pre-COVID-19 activity levels, which then leveled off to basal activity levels when restrictions were imposed [41].

Depressive symptoms also played a crucial role when it came to sedentary behavior. Our study revealed that individuals experiencing current or increasing depressive symptoms tended to be more sedentary. This aligns with previous research on the association between depressive symptoms and physical activity [15, 42] or sedentary behavior [43, 44] during the COVID-19 restrictions. Specifically, younger adults (aged between 19 and 49) showed a notable increase in depressive symptoms compared to older adults [21, 45]. Their physical activity and sedentary behavior were more strongly associated with depressive symptoms. These findings align with studies indicating that the COVID-19 restrictions were particularly stressful for younger adults (< 35 years) [46]. Furthermore, a recent meta-analysis highlighted that older adults were the most sedentary group but were also the least affected by the COVID-19 restrictions [47].

Changes in working conditions significantly predicted altered physical activity and sedentary behavior. Our study underscored the bidirectional effects of remote work on physical activity and sedentary behavior. While remote work allowed for more recreational activities, it was also associated with substantially increasing sedentary time. The switch to remote work was simultaneously linked to a higher likelihood of initiating physical activity but also to a higher probability of no longer meeting the physical activity guidelines. These findings align with studies reporting that individuals working remotely were less affected by the restrictions concerning leisure time and physical activity [29, 48]. Additionally, unemployment and student status were associated with the highest odds of reductions in any activities [16]. In summary, altered working conditions significantly impacted the working adult population, as working time is one of the major structuring forces in daily routines.

The COVID-19 pandemic circumstances heightened social isolation and feelings of loneliness. Contrary to our expectations, we found only weak associations between loneliness and the various physical activity outcomes. Similarly, other studies failed to detect a significant relationship between loneliness and physical activity on the between-person level, while within-person patterns were observed [27, 49]. One explanation could be that the mobility restriction put many individuals in similar situations, limiting variability between persons.

Regarding educational levels, our analyses did not indicate that lower-educated individuals were more affected by the COVID-19 restrictions in Germany. Only a slight trend suggested that the highly educated engaged more in recreational and household activities than those with primary education. Additionally, there was almost no relationship between physical activity and having a migration background. These findings parallel those of other international cohort studies, which either reported no effect [14] or indicated a slight relationship between education and physical activity [16]. It is plausible that education was indirectly related to altered physical activity and sedentary time through its association with remote work opportunities, job loss, financial capabilities, and mental resilience to cope with COVID-19-related restrictions.

Our findings strongly advocate promoting physical activity while limiting screen time during the pandemic. Physical activity aids immune health, reduces respiratory illness risk, and serves as a crucial coping strategy to mitigate the impact of social distancing on mental health and well-being. Prior research in Germans indicated an overall decline in all physical activity domains and decreased compliance with aerobic or muscle-strengthening recommendations during the COVID-19 pandemic [48]. Nevertheless, the mobility restrictions might have also enabled opportunities for some groups to be more physically active. A considerable proportion of previously inactive individuals demonstrated increased physical activity during the COVID-19 restrictions, which has also been reported in other studies [14].

The strengths of the current study include its sizeable nationwide sample and its assessment of the physical activity and sedentary behavior of Germans before and during the COVID-19 pandemic. Participants were reached at the early stages of the pandemic in Spring 2020 by online questionnaires or paper–pencil questionnaires, ensuring the inclusion of persons with and without online access. The longitudinal study design, observing the same individuals both before and during the pandemic, provides more robust insights compared to previous studies that mainly relied on one-time assessments during the pandemic or targeted convenient and easily accessible groups, such as students.

However, several limitations should be acknowledged. Firstly, the severe confinement restrictions in Germany lasted from March 21 until June 13 and consequently did not entirely overlap with the study period. Nonetheless, weekend restrictions continued to limit physical activity beyond June 13. Sensitivity analyses comparing June’s first and second halves did not reveal any differences in the estimators. Secondly, physical activity was self-reported and included a recall of pre-COVID-19 activity, which may have been subject to misreporting. Third, this study did not investigate the composition of screen time, which likely incorporated greater exposure to “negative” news that may influence mental health. Lastly, the analyses did not cover environmental factors such as outdoor sports facilities, green areas, and the walkability of the neighborhood, which might have played an additional role in promoting physical activity during the mobility restrictions. Future research should explore the long-lasting effect of COVID-19 restrictions on prospective physical activity and sedentary behavior. Additionally, there is evidence that increases in physical activity were not maintained prospectively while barriers to physical activity persisted [50].

Conclusion 

In conclusion, COVID-19-related public health measures led to decreased sports activities and a more sedentary lifestyle in Germany. The switch to remote work and (increasing) depressive symptoms showed the most substantial association with changes in physical activity and sedentary behavior. The current findings support the need to monitor physical activity and sedentary behavior in the future and to implement and support measures that promote physical activity, especially in groups most affected by measures like the COVID-19 lockdown.

Availability of data and materials

Restrictions apply to the availability of these data, which were used under license for the current research and are not publicly available. Data are, however, available via a standardized data usage application procedure (https://transfer.nako.de/transfer/index).

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Acknowledgements

We thank all participants who participated in the NAKO study and the staff of this research initiative.

Funding

Open Access funding enabled and organized by Projekt DEAL. This project was conducted with data from the German National Cohort (NAKO Gesundheitsstudie, NAKO) (www.nako.de). The NAKO is funded by the Federal Ministry of Education and Research (BMBF) [project funding reference numbers: 01ER1301A/B/C, 01ER1511D, and 01ER1801A/B/C/D], federal states of Germany, and the Helmholtz Association, the participating universities and the institutes of the Leibniz Association.

Author information

Authors and Affiliations

  1. Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany

    Florian Herbolsheimer & Karen Steindorf

  2. Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Neuherberg, Germany

    Annette Peters & Sarah Wagner

  3. Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany

    Stefan N. Willich & Lilian Krist

  4. Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany

    Tobias Pischon & Katharina Nimptsch

  5. German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany

    Sylvia Gastell

  6. Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

    Mirko Brandes & Berit Brandes

  7. IUF – Leibniz Research Institute for Environmental Medicine, Duesseldorf, Germany

    Tamara Schikowski

  8. Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany

    Börge Schmidt

  9. Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany

    Karin B. Michels

  10. Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany

    Rafael Mikolajczyk & Alexander Kluttig

  11. Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany

    Volker Harth & Nadia Obi

  12. Helmholtz Centre for Infection Research, Brunswick, Germany

    Stefanie Castell & Jana K. Heise

  13. Institute of Epidemiology, University of Kiel, Kiel, Germany

    Wolfgang Lieb & Katrin Franzpötter

  14. Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany

    André Karch & Henning Teismann

  15. Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany

    Henry Völzke & Claudia Meinke-Franze

  16. University of Regensburg, Regensburg, Germany

    Michael Leitzmann, Michael J. Stein & Andrea Weber

  17. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany

    Hermann Brenner

  18. Saarland Cancer Registry, Saarbrücken, Germany

    Bernd Holleczek

  19. NAKO e.V., Heidelberg, Germany

    Barbara Bohn

Authors
  1. Florian Herbolsheimer
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  2. Annette Peters
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  3. Sarah Wagner
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  31. Alexander Kluttig
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  32. Karen Steindorf
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Contributions

Contributions to the conceptualization/study design (all authors), Acquisition, analysis, or interpretation of data (all authors), writing—original draft (FH, KS), writing—reviewing and editing (all authors).

Corresponding author

Correspondence to Florian Herbolsheimer.

Ethics declarations

Ethics approval and consent to participate

Approval had been given by all study centers’ local ethics committees (e.g., Ethics Committee of the Medical Faculty of Heidelberg University: S-104/2013). All individual participants were consulted, clarified, and accepted participation in the study by signing an Informed Consent Form.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

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Supplementary Information

Additional file 1:

Supplement 1. Flow diagram of the NAKO cohort study. Supplement 2. Frequency of missing data. Supplement 3. Changes in sedentary behavior and physical activity domains. Supplement 4. Interaction between age and the development of depressive symptoms on the change of physical activity and sedentary behavior at the onset of the COVID-19 restrictions.

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Herbolsheimer, F., Peters, A., Wagner, S. et al. Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey. BMC Public Health 24, 433 (2024). https://doi.org/10.1186/s12889-024-17675-y

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BMC Public Health

ISSN: 1471-2458

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