The study measured "social asymmetry" — the standardised difference between UCLA-3 loneliness and a Berkman-Syme social network isolation score — in 8,164 English adults aged 60 and over across ELSA waves 7 to 9 (2014-2019). Higher education (β=0.44), income (β=0.22) and subjective social status were associated with less loneliness than network size would predict; social housing (β=-0.41), private renting (β=-0.35), rare or no internet use (β=-0.26) and area deprivation (β=-0.20) with more. Associations persisted after adjustment for psychological covariates.
Why it is interesting: It separates felt loneliness from measured isolation and shows the discrepancy itself has a socioeconomic gradient, which matters for how isolation exposures are specified in mortality analyses.