Dataset Information

Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables.

ABSTRACT:

Background

Adults with diabetes or obesity are more likely to be physically inactive than healthy adults. Physical activity is essential in the management of both diseases, necessitating targeted interventions in these groups. This study analysed physical inactivity (defined as not taking part in leisure-time physical activity) in over 100,000 adults in Germany considering their body mass index and the presence of diabetes. Furthermore, the relationship between specific socio-demographic factors with physical inactivity was investigated, particularly focussing diabetic and obese people, to refine the identification of risk-groups for targeted interventions on physical activity promotion.

Methods

Data from 13 population-based health surveys conducted in Germany from 1997 to 2018 were used. The relevant variables extracted from these datasets were merged and employed in the analyses. We included data from 129,886 individuals in the BMI analyses and 58,311 individuals in the diabetes analyses. Logistic regression analyses were performed to identify the importance of six socio-demographic variables (age, sex/gender, education, income, employment, and migration) for the risk of physical inactivity.

Results

Obese and diabetic people reported a higher prevalence of physical inactivity than those who were not affected. Logistic regression analyses revealed advanced age, low education level, and low household income as risk factors for physical inactivity in all groups. A two-sided migration background and unemployment also indicated a higher probability of physical inactivity.

Conclusion

Similar socio-demographic barriers appear to be important determinants of physical inactivity, regardless of BMI status or the presence of diabetes. However, physical activity promoting interventions in obese and diabetic adults should consider the specific disease-related characteristics of these groups. A special need for target group specific physical activity programmes in adults from ethnic minorities or of advanced age was further identified.

SUBMITTER: Linder S

PROVIDER: S-EPMC7872299 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables.

Linder Stephanie S Abu-Omar Karim K Geidl Wolfgang W Messing Sven S Sarshar Mustafa M Reimers Anne K AK Ziemainz Heiko H

PloS one 20210209 2

<h4>Background</h4>Adults with diabetes or obesity are more likely to be physically inactive than healthy adults. Physical activity is essential in the management of both diseases, necessitating targeted interventions in these groups. This study analysed physical inactivity (defined as not taking part in leisure-time physical activity) in over 100,000 adults in Germany considering their body mass index and the presence of diabetes. Furthermore, the relationship between specific socio-demographic ...[more]

PMID: 33561175

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Project description:BackgroundAustralian Aboriginal people are disproportionately affected by physical disability; the reasons for this are unclear. This study aimed to quantify associations between severe physical functional limitations and socio-demographic and health-related factors among older Aboriginal and non-Aboriginal adults.MethodsQuestionnaire data from 1,563 Aboriginal and 226,802 non-Aboriginal participants aged ?45 years from the Sax Institute's 45 and Up Study (New South Wales, Australia) were used to calculate age- and sex-adjusted prevalence ratios (aPRs) for severe limitation [MOS-PF score <60] according to socio-demographic and health-related factors.ResultsOverall, 26% (410/1563) of Aboriginal participants and 13% (29,569/226,802) of non-Aboriginal participants had severe limitations (aPR 2.8, 95%CI 2.5-3.0). In both Aboriginal and non-Aboriginal participants, severe limitation was significantly associated with: being ?70 vs <70 years old (aPRs 1.8, 1.3-2.4 and 5.3, 5.0-5.5, within Aboriginal and non-Aboriginal participants, respectively), none vs tertiary educational qualifications (aPRs 2.4, 1.7-3.3 and 3.1, 3.0-3.2), lower vs higher income (aPRs 6.6, 4.2-10.5 and 5.5, 5.2-5.8), current vs never-smoking (aPRs 2.0, 1.6-2.5 and 2.2, 2.1-2.3), obese vs normal weight (aPRs 1.7, 1.3-2.2 and 2.7, 2.7-2.8) and sitting for ?7 vs <7 hours/day (aPRs 1.6, 1.2-2.0 and 1.6, 1.6-1.7). Severe limitations increased with increasing ill-health, with aPRs rising to 5-6 for ?5 versus no chronic conditions. It was significantly higher in those with few vs many social contacts (aPRs 1.7, 1.4-2.0 and 1.4, 1.4-1.4) and with very high vs low psychological distress (aPRs 4.4, 3.6-5.4 and 5.7, 5.5-5.9).ConclusionsAlthough the prevalence of severe physical limitation among Aboriginal people in this study is around three-fold that of non-Aboriginal people, the factors related to it are similar, indicating that Aboriginal people have higher levels of risk factors for and consequences of severe limitations. Effective management of chronic disease and reducing the prevalence of obesity and smoking are important areas for attention.

Project description:BackgroundLack of physical activity (PA) and a high level of physical inactivity (PI) are associated with a higher risk for mortality and responsible for several non-communicable diseases including cardiovascular disease. Higher age is associated with a decrease of PA and an increasing level of PI. Studies have shown that interventions in the elderly have the potential to increase the amount of PA and to decrease the level of PI. However, most interventions are complex, elaborated, time- and resource-consuming. Here, we examined the effect of individual feedback-letters reporting the measured PA and PI in a sample of elderly people in Germany. Primary outcomes of the study were overall PA and PI after 6 months in the intervention group compared to a control group.MethodsWe examined data from the MOVING intervention study (RCT) for people aged ≥ 65 years living in the northeast of Germany. At baseline, 3 and 6-months follow-up, all study participants wore a 3-axis accelerometer over a period of seven consecutive days. After the baseline measurement, the participants were randomized into intervention and control group. Participants in the intervention group received automatically generated, individualized feedback letters reporting their PA and PI by mail after the baseline measurement and after the 3-months follow-up. A Two-Way Mixed ANOVA with repeated measures was calculated with light, moderate and overall PA as well as PI as dependent variables, and group (between subject) and time (inner subject) as factors. The analysis based on retrospective data from the MOVING study (2016-2018).ResultsN = 258 patients were recruited. N = 166 participants could be included in the analysis, thereof N = 97 women (58.4%). The mean age was 70.8 years (SD 4.8). At baseline, the participants had a mean wearing time of 5,934.5 minutes (SD = 789.5) per week, which corresponds to about 14 hours daily on average. The overall PA in the intervention group at the 6-months follow up was 2488.8 (95% CI 2358.9-2618.2) minutes and 2408.2 (95% CI 2263.0-2553.4) minutes in the control group. There was no statistically significant interaction effect (time*group) between the intervention and control group for the depending variables. Sensitivity analyses showed significant small positive effects of the interaction time*partnership, F(2, 300) = 3.020, p = 0.05, partial η2 = 0.020.DiscussionOn average, study participants had high levels of PA at baseline and showed a good adherence in wearing the accelerometer. Both is likely due to selection in the convenience study sample. Thus, some ceiling effect reduced the overall intervention effect somewhat. At baseline, the weekly average of PI was 3436.7 minutes, which correspondents to about 8.2 hours per day and about 57% of participants' daily waking time. The average level of PI could be slightly decreased in both study groups.Trial registration numberDRKS00010410, 17 May 2017.

Dataset Information

Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables.

Background

Methods

Results

Conclusion

Publications

Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables.

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