Socio-economic determinants of participation in the Lolland-Falster health study

Jepsen, Randi; Wingstrand, Anne; Abild, S. L.; Ellervik, Christina; Simonsen, Erik; Rasmussen, Knud; Andersen, Zorana Jovanovic

doi:10.1007/s10389-019-01095-z

Cited by 24 publications

(34 citation statements)

References 18 publications

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“…First, only 34.1% of persons invited participated in LOFUS, which may lead to selection bias. There was an overall higher participation rate among individuals of higher income, education level, employment status, middle-aged (aged 50-60 years) and married [10]. It is already known that survey participation is lower among people of poorer socio-economic status and with disease compared with those without [37].…”

Section: Limitationsmentioning

confidence: 91%

“…Half-way through the data collection, the overall participation rate was found to be 34.1% (men: 31.9%, women: 36.4%). A detailed description of the study protocol [9] and information on the socio-economic determinants of participation [10] have been published previously. For this study, we included adults aged 20 years and above (n = 10,895) recruited from 2016 to 2019, excluding women reported to be pregnant.…”

Section: Study Populationmentioning

confidence: 99%

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Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

et al. 2020

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Background This study aimed to investigate prevalence and risk factors for prediabetes, undiagnosed diabetes mellitus, poorly and potentially sub-controlled diabetes in a rural-provincial general adult population in Denmark. Methods Using cross-sectional data from the Lolland-Falster Health Study, we examined a total of 10,895 individuals aged 20 years and above. Results Prevalence of prediabetes was 5.8% (men: 6.1%; women: 5.5%); of undiagnosed diabetes 0.8% (men: 1.0%; women: 0.5%); of poorly controlled diabetes 1.2% (men: 1.5%; women: 0.8%); and of potentially sub-controlled diabetes 2% (men: 3.0%; women: 1.3%). In total, 9.8% of all participants had a diabetes-related condition in need of intervention; men at a higher risk than women; RR 1.41 (95% CI 1.26–1.58); person aged + 60 years more than younger; RR 2.66 (95% CI 2.34–3.01); obese more than normal weight person, RR 4.51 (95% CI 3.79–5.38); smokers more than non-smokers, RR 1.38 (95% CI 1.19–1.62); persons with self-reported poor health perception more than those with good, RR 2.59 (95% CI 2.13–3.15); low leisure time physical activity more than those with high, RR 2.64 (95% CI 2.17–3.22); and persons with self-reported hypertension more than those without, RR 3.28 (95% CI 2.93–3.68). Conclusions In the Lolland-Falster Health Study, nearly 10% of participants had prediabetes, undiagnosed diabetes, poorly controlled, or potentially sub-controlled diabetes. The risk of these conditions was more than doubled in persons with self-reported poor health perception, self-reported hypertension, low leisure time physical activity, or measured obesity, and a large proportion of people with diabetes-related conditions in need of intervention can therefore be identified relatively easily.

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Section: Limitationsmentioning

confidence: 91%

Section: Study Populationmentioning

confidence: 99%

Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

et al. 2020

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“…Diese war bei älteren Personen höher als bei jüngeren und bei Frauen höher als bei Männern. Ähnliche Trends wurden auch in anderen Studien beobachtet [22,23] [18]). Zum Ende der Basiserhebung können präzise Aussagen zur Responsequote erfolgen und Informationen zu den Non-Respondern berücksichtigt werden.…”

Section: Diskussionunclassified

Die Basiserhebung der NAKO Gesundheitsstudie: Teilnahme an den Untersuchungsmodulen, Qualitätssicherung und Nutzung von Sekundärdaten

Schipf

Schöne

Schmidt

et al. 2020

Bundesgesundheitsbl

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Zusammenfassung Hintergrund Die NAKO Gesundheitsstudie ist ein bundesweites interdisziplinäres Forschungsvorhaben mit dem Ziel, die Ursachen für chronische Krankheiten und deren vorklinische Stadien zu untersuchen. Der Artikel gibt einen Überblick über das Studiendesign, die Methoden, die Teilnahme an den Untersuchungen und ihre Qualitätssicherung zur Halbzeit der Basiserhebung. Methoden Für die Basiserhebung wurden mehr als 200.000 Frauen und Männer im Alter von 20–69 Jahren aus Zufallsstichproben der Allgemeinbevölkerung in 18 Studienzentren rekrutiert (2014–2019). Die Basiserhebung beinhaltet Untersuchungen, Befragungen und Biomaterialien für alle Teilnehmerinnen und Teilnehmer (Level 1), ein erweitertes Programm für mindestens 20 % (Level 2) und eine Magnetresonanztomografie (MRT) für 30.000 Teilnehmerinnen und Teilnehmer. Sekundär- und Registerdaten werden über Krankheitsregister, Kranken- und Rentenversicherungen erhoben. Die Auswertung bezieht die Datenbasis zur Halbzeit der Basiserhebung mit 101.839 Teilnehmerinnen und Teilnehmern ein, davon 11.371 mit einer MRT-Untersuchung. Ergebnisse Die mittlere Responsequote zur Halbzeit betrug insgesamt 18 %. Die Teilnahme an den Untersuchungen lag überwiegend bei mehr als 95 %. Bei 96 % der MRT-Teilnehmerinnen und Teilnehmer konnten alle 12 MRT-Sequenzen vollständig durchgeführt werden. Der Erschließung und wissenschaftlichen Nutzung ergänzender Sekundär- und Registerdaten stimmten mehr als 90 % der Teilnehmerinnen und Teilnehmer zu. Diskussion Die Bereitschaft, möglichst alle Untersuchungsmodule durchzuführen, war trotz des zeitlichen Aufwandes außerordentlich hoch. Dadurch wird die NAKO zu einer zentralen Ressource für die epidemiologische Forschung in Deutschland. Sie wird es ermöglichen, neue Strategien zur Früherkennung, Vorhersage und Primärprävention chronischer Krankheiten zu entwickeln.

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“…We do not know why some household−/family members chose not to participate in LOFUS or in accelerometer measurement, respectively, but it could potentially affect the results by limiting generalizability of the findings. An analysis of socio-economic determinants of participation among adults halfway through the LOFUS data collection showed that being middle-aged, female, Danish citizen, and of higher socio-economic status increased participation [67]. Further, the voluntary participation in accelerometer measurement may have increased the selection bias.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study

Petersen

Brønd

Kristensen

et al. 2020

Int J Behav Nutr Phys Act

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Background Evidence of intra-family resemblance in physical activity (PA) is lacking. The association between parent and child PA appears weak, the influence of age and gender on this association is uncertain, and no studies have investigated the degree of resemblance in family members’ PA behaviours such as walking, sitting/lying, and biking. Thus, the aims of the study were to examine the degree of resemblance in PA within families, specifically between parents and children, and to explore the size of resemblance across age of children, gender of parents and children, and intensity and type of PA. Method The study is a cross-sectional analysis of a subsample (902 parents and 935 children nested within 605 families) of the Danish population study Lolland-Falster Health Study. PA was measured using a dual-accelerometer system (Axivity AX3) with subsequent processing of time spent in light PA (LPA), moderate-to-vigorous PA (MVPA), and vigorous PA and classification of PA behaviour types. Families with at least one son/daughter aged 0–22 years and one parent providing minimum 4 days of valid accelerometer data were included in the analysis. A linear mixed model regression analysis was used to determine the intraclass correlation coefficient (ICC) of clustering among family members for PA intensities and PA behaviours, adjusted for sex, age, parental education, and the interaction between sex and age. Results In the analysis of within-family variation in PA, the ICCs across PA intensities and PA behaviours ranged from 0.06 to 0.34. We found stronger clustering in family members’ PA for LPA and behaviours requiring low energy expenditure (LPA: ICC 0.22 (95% confidence interval (CI) 0.17; 0.28), sitting/lying: ICC 0.34 (95% CI 0.28; 0.40)), and walking: ICC 0.24 (95% CI 0.19; 0.30) than for higher intensities (e.g. MVPA: ICC 0.07 (95% CI 0.03; 0.14)). The ICC for biking was 0.23 (95% CI 0.18; 0.29). Analyses on parent-child dyads gave similar results. No interaction effects for gender and age (except for biking) were found. Conclusion Parents and children’s time spent in PA behaviours requiring low energy expenditure had moderate resemblance within families, whereas engagement in PA with higher intensities showed small or close-to-zero resemblance.

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Socio-economic determinants of participation in the Lolland-Falster health study

Cited by 24 publications

References 18 publications

Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

Die Basiserhebung der NAKO Gesundheitsstudie: Teilnahme an den Untersuchungsmodulen, Qualitätssicherung und Nutzung von Sekundärdaten

Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study

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