Table 3.

Multinomial regression analysis to identify the predictors of weight changes during the second wave of the COVID-19 pandemic

Risk factors	Unit of increase	Weight loss	Weight gain
		OR (95%CI)	OR (95%CI), p-value
Age (1 year)	1 year	0.97(0.94–1.01), p = 0.10	0.98(0.97–1.01), p = 0.19
Marital status (not married)	0 = not married,	0.25(0.08–0.77), p = 0.16	0.75(0.38–1.47), p = 0.40
	1 = ever married
Having children	0 = no, 1 = yes	2.54(0.79–8.11), p = 0.12	1.30(0.67–2.54), p = 0.43
Follow COVID-19 pandemic reports	0 = no, 1 = yes	0.50(0.27–0.93), p = 0.03	0.79(0.50–1.25), p = 0.32
Monthly income changes during the second wave of COVID-19 pandemic	0 = no, 1 = yes	2.52(1.51–4.22), p < 0.001	1.07(0.77–1.49), p = 0.68
Eat during stress	0 = no, 1 = yes	1.47(0.85–2.55), p = 0.17	0.74(0.53–1.05), p = 0.09
Antidepressant	0 = no, 1 = yes	3.57(1.08–11.76), p = 0.03	2.47(0.93–6.54), p = 0.07
Increase in social media use	0 = no, 1 = yes	1.81(1.05–3.13), p = 0.03	0.97(0.66–1.43), p = 0.88
Diet during the second wave of COVID-19 pandemic	0 = no, 1 = yes	1.66(0.98–2.82), p = 0.06	1.57(1.11–2.21), p = 0.01
supermarket visits increase during the second wave of the COVID-19 pandemic	0 = no, 1 = yes	1.36(0.81–2.29), p = 0.25	1.29(0.92–1.81), p = 0.13
Unhealthy food during the second wave of COVID-19 pandemic	0 = no, 1 = yes	1.34(0.74–2.44), p = 0.34	0.40(0.28–0.57), p < 0.001
Physical activity during the second wave of the COVID-19 pandemic	0 = no, 1 = yes	0.69(0.40–1.17), p = 0.17	0.49(0.35–0.69), p < 0.001