TABLE 4.

Participant characteristics associated with overall change profile in weight gain protective behaviours (higher scores indicate worsening)

	Association with total score
Gender	β = .016, p = .687
Age	β = .052, p = .190
Ethnicity	β = .061, p = .112
Education	β = .002, p = .955
Household income	β = .048, p = .218
High risk condition	β = −.010, p = .804
Living alone	β = .068, p = .075
Psychiatric condition	β = .095, p = .014*
COVID diagnosis	β = −.007, p = .859
Underweight (BMI < 18.5)	β = − .011, p = .770
Overweight (BMI 18.5–24.9)	β = .037, p = .361
Obesity (BMI ≥ 30)	β = .084, p = .042 *
Model fit	F(12,710) = 2.068, p = .017 Adj. R 2 = .017
Multicollinearity	VIFs >1.03 < 1.27

Note: Total score is sum across all five behaviours (reverse scoring: eaten healthily, exercised and slept) to create an index of overall change, with higher scores indicative of worsening of weight gain protective behaviours. Values are standardized coefficients. Gender reference category = female (vs. male), ethnicity reference category = not White (vs. White), education is highest level of qualification with reference category = less than degree level (vs. degree level or higher), household income is in £1000/year after tax, high risk condition reference category = no condition (vs. one or more high risk conditions), living alone reference category = not alone (vs. alone), psychiatric condition reference category = no condition (vs. previous diagnosis), COVID diagnosis reference category = no diagnosis (vs. formally diagnosed or suspected).

Abbreviation: BMI, body mass index.

^*Significant at p < .05.