Multinomial logistic regression was used to assess the associations between housing and neighbourhood environment and average or high wellbeing compared with low wellbeing, adjusting for individual socio-demographic factors, and taking account of clustering within GoWell areas.
This could to a large extent explain why care-givers to adults were significantly more likely to be in poor emotional wellbeing adjusting for age, sex, grant receipt, education, marital status and household living arrangements.
The analysis for psychological wellbeing was adjusted for baseline General Health Questionnaire, age, sex, activities of daily living, EQ-5D, and number of drugs.
The SPPB was significantly associated with HRQoL and with wellbeing after adjusting for known covariates (p < 0.05, Unstandardized ß (Standard Error) 0.023 (0.006) for HRQoL and 0.016 (0.003) for wellbeing).
The MoCA was significantly associated with wellbeing after adjusting for known covariates (p = 0.006), Unstandardized ß (Standard Error) 0.005 (0.002) but not with health related quality of life (p > 0.05).
Every known influence on the plant's wellbeing is measured, adjusted, remeasured.
Conclusions: In this large, representative, UK-based community sample a curvilinear association with emotional wellbeing was observed for adjusted BMI suggesting the possibility of a threshold effect.
Logistic regression analysis was used to explore the relationship between experiencing 'any ethnic discrimination' and the health and wellbeing outcomes after adjusting for age, sex, ethnicity and the three socioeconomic variables.
The effect of having two or more impairments compared to none was associated with lowered wellbeing after adjusting for demographic factors and social support (adjusted difference -2.37 on the well-being scale with SD = 7.9, p < 0.001) but after adjusting for disability the coefficient fell and was non-significant.
