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. Author manuscript; available in PMC: 2019 Apr 17.
Published in final edited form as: Soc Sci Med. 2016 Jun 23;164:59–73. doi: 10.1016/j.socscimed.2016.06.035

Table 4.

Cox proportional hazards models – East African Rural HDSSs.

Kilifi HDSS
Kisumu HDSS
All deaths
All deaths
Male Female Male Female
Permanent resident (Ref) 1 1
In-migrant
6 – 24 months in HDSS 0.59*** (0.53–0.66) 0.58*** (0.52–0.64) 1.35*** (1.23–1.49) 1.80*** (1.64–1.97)
25 – 59 months in HDSS 0.67*** (0.60–0.74) 0.74*** (0.67–0.82) 1.12** (1.01–1.24) 1.26*** (1.13–1.40)
60 + months in HDSS 0.96 (0.85–1.08) 1.12* (1.00–1.25) 0.95 (0.81–1.12) 1.17* (0.99–1.39)
Return migrant
6 – 24 months in HDSS 0.56*** (0.44–0.71) 0.62*** (0.49–0.77) 1.36*** (1.17–1.57) 1.53*** (1.31–1.79)
25 – 59 months in HDSS 0.76** (0.61–0.96) 0.86 (0.68–1.07) 1.40*** (1.21–1.62) 1.13 (0.94–1.36)
60 + months in HDSS 0.75 (0.49–1.13) 0.92 (0.63–1.34) 1.15 (0.87–1.52) 1.12 (0.79–1.60)
Return migrant exposure < 36months (Ref) 1 1 1 1
36 + months away 0.96 (0.71–1.29) 1.11 (0.83–1.48) 1.04 (0.81 – 1.33) 0.88 (0.64–1.23)
Period
1 Jan 1998–1 Jan 2001 (1998) n.a. n.a. n.a. n.a.
1 Jan 2001–1 Jan 2004 (2001) 0.97 (0.88–1.07) 1.06 (0.96–1.16) n.a. n.a.
1 Jan 2004–1 Jan 2007 (2004) 1.16*** (1.06–1.27) 1.31*** (1.20–1.42) 1.80*** (1.68–1.92) 2.21*** (2.07–2.36)
1 Jan 2007–1 Jan 2010 (2007) 1.00 (0.91–1.09) 0.98 (0.90–1.06) 1.39*** (1.31 – 1.48) 1.57*** (1.48–1.68)
1 Jan 2010–1 Jan 2013 (2010) (Ref) 1 1 1 1
Education
No Formal (Ref) 1 1 1 1
Some primary 0.89** (0.81–0.99) 1.05 (0.94–1.17) 0.70*** (0.63–0.78) 0.81*** (0.75–0.87)
Some secondary 0.83** (0.71–0.96) 0.91 (0.73–1.14) 0.53*** (0.47–0.60) 0.55*** (0.49–0.62)
Some tertiary 0.72** (0.56–0.93) 0.66* (0.42–1.06) 0.36*** (0.30–0.43) 0.32*** (0.24–0.43)
Unknown 4.10*** (3.77–4.47) 8.38*** (7.80–9.01) 0.75*** (0.66–0.85) 0.92* (0.84–1.01)

Observations 2,382,427 3097 890 292,304 352,742
Wald Chi-square 2033 3974 623.3 969
Log likelihood −34689 −39304 −53320 −56146
Subjects 145,669 168,010 98,838 123,054
Time at risk 557,901 722,164 393,920 482,936
Failures 4145 4548 6345 6396
***

p < 0.01

**

p < 0.05

*

p < 0.1.

n.a. = not applicable.