A case-control study of musculoskeletal impairment: association with socio-economic status, time use and quality of life in post-conflict Myanmar

Table 4 Socioeconomic status

		Cases (n = 108)		Controls (n = 104)		Coefficient (95% CI)^a
		Median (95% CI) ^a	(IQR) ^a	Median (95% CI) ^a	(IQR) ^a
Per Capita Expenditure (US$, monthly)	Total	35.03	34.72	32.07	35.50	11.8% (−8.6–32.2)
	Food	18.28	14.76	18.15	15.69	−6.0% (−21.0–8.9)
	Health	0.18	2.36	0.00	0.47	115.5% (51.3–179.8)
	Other^b	12.57	19.18	11.52	17.72	9.2% (−19.5–38.0)
	Total minus health	32.41	27.14	31.06	33.54	2.2% (−16.9–21.2)
Catastrophic Health Expenditure		20.4%		1.9%		15.2 (3.3–69.8)
Below International Poverty line		75.0%		76.9%		0.9 (0.5–1.7)
Per Capita Income (US$, monthly)		3.1	0.8	3.4	0.9	−19.5% (−39.5–0.6)
Quartile 1 (poorest)		38.9%		26.2%		Ref.
Quartile 2		25.0%		25.2%		0.7 (0.3–1.4)
Quartile 3		15.7%		24.3%		0.4 (0.2–1.0)
Quartile 4 (richest)		20.4%		24.3%		0.6 (0.3–1.2)
Proportion experiencing an income gap		65.7%		47.1%		2.2 (1.2–3.8)^c
SES score	SES score	−0.2 (−0.7–0.2)	2.5	0.2 (−0.2–0.7)	2.4
						Age-Sex adj OR (95% CI)
	Tertile 1 (poorest)	42.6%		33.7%		0.6 (0.3–1.2)
	Tertile 2 (middle)	29.6%		33.7%
	Tertile 3 (richest)	27.8%		32.7%

^aExponentiated regression coefficient, using log transformed expenditure and income, which illustrates the percent difference in expenditure/income per capita among case and control households, after taking into account age and sex
^bOther expenditure: personal, entertainment, education, taxes, occasional and other
^cAmongst those reporting an income gap < 0

ISSN: 1471-2458