Development of Healthy Ageing Index (HAI) in Latvia: Principal Component Analysis (PCA) approach

Activity: Talk or presentation typesPoster presentation


An individual’s intrinsic capacity is a powerful predictor of the future ageing process and includes five determinants – cognitive and psychological, sensory, locomotion and vitality. The ageing process for every older individual is different.
In order to develop nationwide healthy ageing strategy, a tool for healthy ageing assessment is vital.
The aim: To explore the main indicators of ageing processes to be involved in further healthy ageing index (HAI) development.
Methods: The data from Wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) were used as they cover all five healthy ageing determinants. For preliminary research sample consisted of 652 respondents from Latvia. Author’s applied PCA to reduce the number of potential indicators for HAI.
Results: From 250 potential healthy ageing indicators within exploratory and literature analysis, the authors reduced the number to 58 most common items, covering all 5 intrinsic capacity determinants.
The items were analyzed by exploratory factor analysis using the PCA method. Investigation of initial communality and consequent extraction of factors by Varimax rotation method showed the share of 21 items in the questionnaire higher than 0.30, all other items were removed. The analysis yielded 5 dimensions explaining total of 55.10% of the variance.
The Cronbach's alpha coefficient determined internal consistency reliability variating for 5 dimensions from 0.67 to 0.74.
Period10 Jul 202215 Jul 2022
Event title31st International Biometric Conference
Event typeConference
Conference number31
LocationRiga, LatviaShow on map
Degree of RecognitionInternational

Field of Science

  • 1.1 Mathematics
  • 3.3 Health sciences