Self-reported data validity for assessment of systemic and oral health as risk for dependency in old age. A cohort profile of elderly in mid Sweden

Alessandra Neves-Guimaraes ^1* Ruzan Udumyan ¹ Kartheyaene Jayaprakash-Demirel ¹ Pernilla Larsson-Gran ² Carin Starkhammar ³ Carina Källestål ¹

• ¹ Örebro University, Örebro, Sweden
• ² Malmö University, Malmö, Skåne, Sweden
• ³ Linköping University, Linköping, Östergötland, Sweden

Purpose: The Mid Sweden Cohort (MSC) was established to investigate self-perceived oral and general health among two groups of ageing individuals in two counties (Örebro and Östergötland counties) in Sweden. For internal and external data validation we linked collected data on health status, behavioural, sociodemographic circumstances and dependency, with national register data from Statistics Sweden and compared non respondents and loss to follow up to respondents. Participants: MSC is based on a longitudinal multi wave study of ageing men and women that answered a cross-sectional questionnaire from MSC: (1) the 1992 cohort including participants aged 50 years in 1992 and (2) the 2007 cohort including participants aged 75 years in 2007. After the baseline surveys, the data collection was conducted every 5 years with the latest wave included in our validation, from 2017. Between 1992 and 2017, 8879 participants were included in cohort 1 and between 2007 and 2017, 5191 individuals were included in cohort 2.Results: After linking self-reported data with national register-based data and analysing loss to follow-up and non-response we have found that besides age, our results confirm other studies findings indicating factors as being a man, having immigrant status, lower income and lower education level, being single and unhealthy as predictors of non-response and loss to follow-up. Based on our results, we conclude the MS-Cohorts trustworthy for further studies taking the observed bias into consideration.Using the MSC we intend to analyse self-reported oral health changes as predictor for dependency in elderly and describe the oral health status over time. Furthermore, we plan linking data with register based oral health clinical data. We also hope to add the 2022 wave data as well as future waves data to the existing described data.