The effect of a medical opinion on self-perceptions of weight for Mexican adults: perception of change and cognitive biases

Table 2 Linear regression analyses of BMI versus category response for all gender/identification groupings for BMI < 35

	Variable	Unstd. B	Std. Error	t-statistic	f-statistic	R²	95% C.I. Lower	95% C.I. Upper
All					5764.888	0.271
	Constant	19.384	0.101	192.18			19.186	19.581
	Category	3.224	0.042	75.927			3.141	3.307
Men					2173.229	0.269
	Constant	19.01	0.162	117.302			18.692	19.328
	Category	3.303	0.071	46.618			3.164	3.442
Women					3473.562	0.266
	Constant	19.68	0.13	151.671			19.426	19.934
	Category	3.15	0.053	58.937			3.045	3.255
NI					5826.474	0.268
	Constant	18.255	0.125	146.304			18.01	18.499
	Category	3.996	0.052	76.331			3.893	4.099
Identified					93.45	0.109
	Constant	24.302	0.591	41.146			23.143	25.462
	Category	1.923	0.199	9.667			1.532	2.313
Men NI					1916.112	0.251
	Constant	19.119	0.167	114.695			18.792	19.445
	Category	3.229	0.074	43.773			3.085	3.374
Men I					29.848	0.127
	Constant	24.214	1.083	22.351			22.078	26.25
	Category	2.006	0.367	5.463			1.282	2.73
Women NI					3092.896	0.255
	Constant	19.685	0.134	146.771			19.422	19.948
	Category	3.121	0.056	55.614			3.011	3.231
Women I					64.919	0.103
	Constant	24.31	0.702	34.624			22.931	25.689
	Category	1.9	0.236	8.057			1.437	2.363

In the Categories column the regression analyses are categorised by gender (All represents the combined group of men and women); and by identification of obesity (I and NI). Variable refers to the regression coefficients; Unstd. B Unstandardised Beta coefficient, Std. Error standard error, t-statistic, f-statistic, R², Sig Significance value, 95% C.I. Lower Lower bound of the 95% confidence interval, 95% C.I. Upper Upper bound of the 95% confidence interval. Responses were taken only in the range BMI < 35 to test linearity

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