6 research outputs found
Resemblance in Physical Activity in Families with Children in Time Segments during the Week: The Lolland-Falster Health Study
Purpose
Evidence of shared physical activity (PA) habits within families is inconsistent. The present study aimed at examining intrafamily resemblance in PA during different time segments of the week.
Method
This cross-sectional study used data from the Danish household-based population study Lolland–Falster Health Study. We assessed time spent in various PA intensities and behaviors using a dual-accelerometer system (Axivity AX3). At least one parent and one child per household provided data for a minimum of three weekdays and one weekend day. We analyzed three time segments: early weekdays, late weekdays, and weekends. A linear mixed model regression analysis was used to estimate intraclass correlation coefficients (ICC) of the total family, parent–child dyads, siblings, and parent–parent dyads for PA outcomes, adjusting for sex, age, parental education, and the interaction between sex and age.
Results
We included 774 parents (57.9% female, 42.8 ± 7 yr) and 802 children (54.2% girls, 11.1 ± 4.3 yr) nested within 523 families. The clustering among the total family was stronger during late weekdays (ICC = 0.11–0.31) and weekends (ICC = 0.14–0.29) than during early weekdays (ICC = 0.02–0.19). We found stronger clustering among siblings (ICC = 0.08–0.47) and between parents (ICC = 0.02–0.52) than between parents and children (ICC < 0.01–0.37). Generally, the clustering was strongest for light PA, and among PA behaviors, walking showed the highest resemblance across all subgroups.
Conclusion
Initiatives to promote children’s PA that involve parent or sibling coparticipation may focus on the time segment and activity types with the highest resemblance. For the family as a whole, promoting walking or limiting sedentary activities may be a potential target for interventions during late weekdays and weekends.
Trial registration: Clinicaltrials.gov (NCT02482896)
The association between multimorbidity and physical activity levels in adults with multimorbidity - a cross sectional study from the Danish Lolland-Falster Health Study
Investigations of the association between multimorbidity and physical activit
The relationship between clinical characteristics, sociodemographic factors and sedentary behavior in adults with multimorbidity: a cross-sectional study from the Lolland-Falster Health study
Sedentary activity and sedentary bouts , and their relationship with stress and well-being in individuals with diabetes and prediabetes: The Lolland-Falster Health Study
Living with diabetes can be very stressful due to demands of self-management in terms of adherence to lifestyle recommendations such as physical activity, diet, and medication, which is also known as diabetes distress. Depression, anxiety, high perceived stress, and low well-being, are more prevalent in individuals living with diabetes compared to the general population. Studies within the field of diabetes indicate that low well-being may have a substantial negative impact upon diabetic control and self-care in relation to the diabetes. Furthermore, a recent Danish nationwide cross-sectional study found that individuals with diabetes who suffered from high perceived stress and low health-related quality of life were less likely to engage in regular physical activity. These results suggest that stress and well-being in individuals with diabetes may challenge their ability to adhere to lifestyle recommendations. Despite the high prevalence of stress and low well-being in individuals with diabetes, it is yet undiscovered to what extent these factors are associated with a sedentary lifestyle among individuals with diabetes and prediabetes. Such knowledge could provide more insights into recommendations in diabetes treatment and prevention to enhance time spent non-sedentary when individuals with diabetes or prediabetes suffer from high levels of stress and low well-being.
The aim of this study is to investigate the associations of stress and well-being with the total amount of sedentary activity, characterized by sitting, reclined, and lying during waking hours, durations of continuous sedentary activity bouts, and breaks in sedentary activity in individuals with diabetes and prediabetes. A secondary aim is to investigate and display the daily sedentary activity pattern during a weekday and weekend with adjustments of stress and well-being in individuals with diabetes and prediabetes
Detailed descriptions of physical activity patterns among individuals with prediabetes and diabetes: The Lolland-Falster Health Study
Despite the importance of physical activity for type 2 diabetes, it is largely unknown to what extent physical activity patterns vary among individuals with prediabetes and diabetes. Recent developments of technological wearable devices provide new possibilities to describe detailed patterns of physical activity, physical postures, sleep characteristics, and other physiological factors over long time periods. The second-by-second continuous assessment offer many opportunities to advance research also among individuals with diabetes and other chronic conditions. No previous large-scale studies have provided a detailed description of objectively assessed habitual physical activity patterns among individuals with prediabetes and diabetes. Availability of such information would be an important resource for planning future treatment courses taking individual characteristics, needs, and preferences into account when designing a physical activity intervention.
Therefore, the overall aim of this study is to describe physical activity behaviors and patterns among individuals with prediabetes and diabetes and compare these patterns with individuals with no known diabetes
Detailed descriptions of physical activity patterns among individuals with diabetes and prediabetes: the Lolland-Falster Health Study
Introduction This study aimed to describe objectively measured physical activity patterns, including daily activity according to day type (weekdays and weekend days) and the four seasons, frequency, distribution, and timing of engagement in activity during the day in individuals with diabetes and prediabetes and compared with individuals with no diabetes.Research design and methods This cross-sectional study included data from the Danish household-based, mixed rural-provincial population study, The Lolland-Falster Health Study from 2016 to 2020. Participants were categorized into diabetes, prediabetes, and no diabetes based on their glycated hemoglobin level and self-reported use of diabetes medication. Outcome was physical activity in terms of intensity (time spent in sedentary, light, moderate, vigorous, and moderate to vigorous physical activity (MVPA) intensities), adherence to recommendations, frequency and distribution of highly inactive days (<5 min MVPA/day), and timing of engagement in activity assessed with a lower-back worn accelerometer.Results Among 3157 participants, 181 (5.7 %) had diabetes and 568 (18.0 %) had prediabetes. Of participants with diabetes, 63.2% did not adhere to the WHO recommendations of weekly MVPA, while numbers of participants with prediabetes and participants with no diabetes were 59.5% and 49.6%, respectively. Around a third of participants with diabetes were highly inactive daily (<5 min MVPA/day) and had >2 consecutive days of inactivity during a 7-days period. Mean time spent physically active at any intensity (light, moderate, and vigorous) during a day was lower among participants with diabetes compared with participants with no diabetes and particularly from 12:00 to 15:00 (mean difference of −6.3 min MVPA (95% CI −10.2 to −2.4)). Following adjustments, significant differences in physical activity persisted between diabetes versus no diabetes, but between participants with prediabetes versus no diabetes, results were non-significant after adjusting for body mass index.Conclusions Inactivity was highly prevalent among individuals with diabetes and prediabetes, and distinct daily activity patterns surfaced when comparing these groups with those having no diabetes. This highlights a need to optimize current diabetes treatment and prevention to accommodate the large differences in activity engagement