Understanding families lives across the lifecourse: the value of panel studies. Understanding Society: The UK Household Longitudinal Study

Examining the impact of different social class mechanisms on health inequalities: A cross-sectional analysis of an all-age UK household panel study

“…Fieldwork for each wave is carried out over two years, and in year 2 of wave 2 only 81% of the GPS were invited in order to include the BHPS sample given field-force limitations at the time. Participants needed to have carried out the relevant main wave or 3 interviews, have English as their first language, not be pregnant and not have moved or left the Study (McFall SLP et al, 2014;Benzeval et al, 2014). All results presented here are based on complete-case analyses.…”

Identifying Biomarkers of Cardiovascular Diseases with Machine Learning: Evidence from The UK Household Longitudinal Study

“…Participants with CVDs at follow-up had higher levels of several cardiovascular-related biomarkers at baseline (i.e., triglycerides, c-reactive protein, haemoglobin) than those without CVDs, although these were all within the normal range. 31 Likewise, participants with CVD at follow-up had higher levels of liver disease-related biomarkers (i.e., alkaline phosphatase, alanine transaminase, aspartate transaminase, gamma-glutamyl transferase) than those without CVD, although these were also within normal levels [32] at baseline. Similar patterns were observed for kidney disease-related biomarkers (i.e., creatinine and urea), diabetes-related biomarkers (i.e., glycated haemoglobin), and biomarkers related to hormones (i.e., higher for testosterone and lower for insulin-like-growth factor 1 and dehydroepiandrosterone sulphate).…”

Impact of subjective and objective neighbourhood characteristics and individual socioeconomic position on allostatic load: A cross-sectional analysis of an all-age UK household panel study

“…All models included inverse probability weights to take account of unequal selection probabilities into the study and differential drop-out at each stage in the process of obtaining blood measures, viz. non-response to the wave, consent to give blood, successfully taking blood, and successfully extracting analytes from the blood sample (Benzeval et al, 2014). These weights ensure the results are reliable estimates representative of the adult population living in private households in England (Kaminska and Lynn, 2019).…”

“…Briefly, the UKHLS, which began in 2009, is a longitudinal survey of initially ~40,000 households in England, Scotland, Wales and Northern Ireland with data currently available from eleven collection waves. At Waves 2 and 3 (collected between 2010 and 2012) separate nurse health assessments were carried out and blood samples collected from the General Population Sample and the former British Household Panel Survey (Benzeval et al, 2014;McFall et al, 2014). The current analyses are based on respondents who took part in the nurse health assessments, from which at least one blood biomarker was obtained, and who completed the mainstage interview at waves 2 and 3.…”