Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh

Table 2 Ownership of mobile phones among males compared to females, obtained from bivariate analysis in a household survey in rural Bangladesh (N = 4909)

Variables	Gender	Number of respondents (N)	% of respondents with mobile phone	p-value
Age (years)
18–29	Male	633	76.3	p < 0.001
18–29	Female	1155	35.5	p < 0.001
30–39	Male	518	74.1	p < 0.001
30–39	Female	825	44.7	p < 0.001
40–49	Male	380	54.7	p < 0.001
40–49	Female	414	33.6	p < 0.001
50+	Male	430	31.8	p < 0.001
50+	Female	554	17.3	p < 0.001
Education (years of schooling)
None	Male	883	44.4	p < 0.001
None	Female	1452	23.4	p < 0.001
1–5 years	Male	658	71.3	p < 0.001
1–5 years	Female	804	36.2	p < 0.001
6–10 years	Male	332	82.2	p < 0.001
6–10 years	Female	636	52.4	p < 0.001
11 + years	Male	88	88.6	p = 0.638
11 + years	Female	56	91.1	p = 0.638
Socioeconomic status (asset index)
Poorest	Male	330	31.2	p < 0.001
Poorest	Female	675	13.3	p < 0.001
2nd	Male	384	54.4	p < 0.001
2nd	Female	588	23.9	p < 0.001
3rd	Male	434	64.5	p < 0.001
3rd	Female	566	35.7	p < 0.001
4th	Male	409	69.4	p < 0.001
4th	Female	542	42.2	p < 0.001
Richest	Male	404	83.2	p < 0.001
Richest	Female	577	61.3	p < 0.001

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