Table 2.

Summary of the models estimated including study objective, exposure, outcome, type of model and data waves utilised.

Exposure	Outcome(s)	Type of model	Waves of data used	Study objective (results)
Unable to heat home	Mental health and wellbeing (SF-36)	Fixed effects regression	Annual waves between 2000 and 2019	1 (Fig. 2)
Unable to heat home	Diagnosis of asthma, chronic bronchitis, hypertension, heart disease, depression	Fixed effects logistic regression	Waves 2009, 2013, 2017	1 (Fig. 3)
Unable to heat home in two waves	Mental health and wellbeing (SF-36)	Correlated Random Effects regression	Annual waves between 2000 and 2019	2 (Fig. 4a)
Unable to heat home in two waves	Diagnosis of asthma, chronic bronchitis, hypertension, heart disease, depression	Correlated Random Effects logistic regression	Waves 2008, 2009, 2012, 2013, 2016, 2017	2 (Fig. 5a)
Moving into being unable to heat home between two waves	Mental health and wellbeing (SF-36)	Correlated Random Effects regression	Annual waves between 2000 and 2019	2 (Fig. 4b)
Moving into being unable to heat home between two waves	Diagnosis of asthma, chronic bronchitis, hypertension, heart disease, depression	Correlated Random Effects logistic regression	Waves 2008, 2009, 2012, 2013, 2016, 2017	2 (Fig. 5b)
Moving out of being unable to heat home between two waves	Mental health and wellbeing (SF-36)	Correlated Random Effects regression	Annual waves between 2000 and 2019	2 (Fig. 4c)
Moving out of being unable to heat home between two waves	Diagnosis of asthma, chronic bronchitis, hypertension, heart disease, depression	Correlated Random Effects logistic regression	Waves 2008, 2009, 2012, 2013, 2016, 2017	2 (Fig. 5c)
Unable to heat home	Diagnosis of cancer	Fixed effects logistic regression – negative control model	Waves 2008, 2009, 2012, 2013, 2016, 2017	1 (Table 8)