FSD2622 GOAL - Good Ageing in Lahti Region: Longitudinal Study on Ageing and Well-being, wave 2 (2005)Detailed description (collection | citation | publications)
University of Helsinki. Palmenia Centre for Continuing Education
Päijät-Häme Hospital District
Keywords: diet and nutrition, drinking behaviour, elderly, exercise, health, health services, housing, leisure time, life styles, living conditions, retirement, sleep, smoking, social networks, social services
The data are part of the longitudinal cohort study GOAL (Good Ageing in Lahti Region) 2002-2012. The study concentrated on the health and well-being of the ageing population in the Päijät-Häme region of Finland. This dataset consists of the second wave data. Data were collected with the help of questionnaires and clinical and laboratory measurements. The participants received the first questionnaire and the invitation to the clinical tests by post and and filled in the second questionnaire when being tested.
The first questionnaire covered the respondents' satisfaction with life and financial situation, insecurity, retirement, housing, social networks and support, need for care, taking care of others, functional ability, loneliness, free-time habits, travelling, aging experiences, the significance of different aspects to their well-being, and significant occurences in their life (deaths, unemployment, divorce, illness etc). The second questionnaire investigated the respondent's health in general, functional ability, psychosocial and physical health, illnesses, medication used, medical treatments, weight, eating and exercise habits, smoking and alcohol use, sleep, use of health services, access to services etc.
Clinical measurements measured weight, height, waist circumference and blood pressure, and tested balance, strength, walking ability and chair stands. Laboratory tests measured lipids, glucose and insulin.
Background variables included, among others, the respondent's municipality type, marital status, household composition, and household monthly income. Participants can be identified over waves using the variable 'havtun'.