The impact of smoking on annual healthcare cost: an econometric model analysis in China, 2015

Table 1 Weighted Descriptive Statistics of Study Sample, CHARLS, 2011, 2013 and 2015 ^a

Type of variable	Level of variable	2011	2013	2015
Smoking status	Never smokers	64.4	62.06	60.18
	Current light smokers	4.10	4.93	5.03
	Current heavy smokers	24.37	23.12	21.44
	Former smokers, quit≥5 yr	3.90	4.28	6.37
	Former smokers, quit< 5 yr	2.94	5.62	6.98
Sex	Females	55.44	55.44	55.44
Sex	males	44.56	44.56	44.56
Age group	45 ~ 54 yrs	39.34	31.85	26.29
	55 ~ 64 yrs	37.50	39.07	37.69
	65+ yrs	23.15	29.08	36.02
Registered residents	Rural	57.52	57.52	57.52
Registered residents	Urban	42.48	42.48	42.48
Education level	Primary school and below	65.12	64.79	63.40
Education level	Middle school and above	34.88	35.21	36.60
Marital status	Single/separated/divorced/widowed	10.70	11.79	13.22
Marital status	Married/cohabitating	89.30	88.21	86.78
Living poverty status	No	77.65	85.51	88.61
Living poverty status	Yes	22.35	14.49	11.39
Having health insurance	No	5.80	3.31	7.73
Having health insurance	Yes	94.20	96.69	92.27
Economic regions (ER)	West ER	29.55	29.55	29.55
	Middle ER	27.86	27.86	27.86
	East ER	42.59	42.59	42.59
BMI status	Normal weigt	49.40	46.73	46.80
	Underweight	6.11	5.55	6.38
	Overweight	44.49	47.72	46.82
Drinking status	Never drinker	75.66	74.58	74.89
Drinking status	Drinker	24.34	25.42	25.11

^a Estimates are weighted using individual sampling weights with household and individual response adjusted. The sampling weights were provided by CHALRS. More details could be found in the CHALRS User’s Guidance

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