BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//talks.cam.ac.uk//v3//EN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CATEGORIES:Biological Anthropology Seminar Series
SUMMARY:Assessing the double burden of malnutrition in sub
 -Saharan Africa: lessons from the Birth to Twenty 
 Plus (Bt20+) cohort - Speaker to be confirmed
DTSTART;TZID=Europe/London:20201118T163000
DTEND;TZID=Europe/London:20201118T173000
UID:TALK153586AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/153586
DESCRIPTION:Sub-Saharan African populations are experiencing t
 he fastest rise in the prevalence obesity while th
 e prevalence of stunting in growth has remained pe
 rsistently high. Longitudinal data play a key role
  in our understanding of variations in physical gr
 owth during the lifecourse and have improved our u
 nderstanding of the drivers of malnutrition and no
 ncommunicable diseases. However\, longitudinal stu
 dies remain particularly scarce in Africa.\n\nThe 
 Birth to Twenty Plus (Bt20+) cohort study\, launch
 ed in 1990 in South Africa in Johannesburg in the 
 neighborhoods of the South Western Township (Sowet
 o)\, has scrutinised the growth and development of
  3271 children and their caregivers from the early
  days of the democratical transition in South Afri
 ca to the present days. It is the longest and larg
 est running birth cohort in Africa\, providing a u
 nique insight of the potential impact on growth\, 
 development\, and health on three generations of t
 he unprecedented demographic\, nutritional and epi
 demiologic transitions in South Africa over the la
 st 30 years. This seminar will also cover analytic
 al methods used to analyse growth data from the BT
 20+ cohort while referencing important and new met
 hods used in nutritional epidemiology\, including:
  growth modelling\, linking longitudinal environme
 ntal data to longitudinal growth data\, and the us
 e of panel data.
LOCATION:Live on Zoom\, pre-registration essential here: bi
 t.ly/3n5e7E8
CONTACT:Keaghan Yaxley
END:VEVENT
END:VCALENDAR