Findings from nurse visit data Mai Stafford, Paola Zaninotto, Cesar de Oliveira, Meena Kumari, Andrew Steptoe Department of Epidemiology & Public Health,

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Presentation transcript:

Findings from nurse visit data Mai Stafford, Paola Zaninotto, Cesar de Oliveira, Meena Kumari, Andrew Steptoe Department of Epidemiology & Public Health, UCL

Outline of the presentation Changes over time in anthropometric measures Anthropometry & physical health

Biomarkers in studies of ageing Provide objective data about health and functioning Provide information about important health outcomes that may not have been clinically diagnosed Help our understanding of the pathways through which psychosocial and economic factors influence health and well-being. Two groups of biomarkers –i) Related to specific disease outcomes –ii) General indicators of health and risk of functional decline in older ages

Changes in anthropometric measures between Wave 2 and Wave 4

Change in mean waist circumference wave 2 to wave 4 by age group: men

Change in mean waist circumference wave 2 to wave 4 by age group: women

Change in fasting glucose wave 2 to wave 4 by age group: women

Anthropometry and subsequent walking speed/back pain Anthropometric measures at W0 related to walking speed and back pain at W1 W2 and W3

Definitions Body Mass Index (BMI) 2,593 men and 3,212 women Underweight group (<20.0 kg/m 2 ) Normal (20.0 and <25 kg/m 2 ) Overweight (25 and <30 kg/m 2 ) Obese (30 kg/ m 2 ) Waist circumference 2,273 men and 2,862 women Low risk (<94cm for men & <80cm for women) Medium risk (94cm & <102cm for men; 80cm & <88cm for women) High risk (102cm for men & 88cm for women)

BMI at wave 0 and subsequent walking speed

Waist circumference at wave 0 and subsequent walking speed

BMI at wave 0 and subsequent back pain

Waist circumference and back pain

What next? More detailed description of change in different socio-demographic groups Modelling trajectories of biomarkers and anthropometry from 3 occasions (waves 0, 2 and 4) Consider what influences trajectory and how diverging trajectories impact on subsequent well- being, quality of life and functioning

Thank you for listening Other research findings at