Publication Cover
Population Studies
A Journal of Demography
Volume 62, 2008 - Issue 2
4,949
Views
104
CrossRef citations to date
0
Altmetric
Original Articles

The effects of pregnancy spacing on infant and child mortality in Matlab, Bangladesh: How they vary by the type of pregnancy outcome that began the interval

, , &
Pages 131-154 | Received 01 Nov 2006, Published online: 10 Jul 2008

Figures & data

Table 1  Frequency distribution (per cent) of durations of inter-outcome intervals (by type of outcome that began the interval) and interbirth intervals. Matlab, Bangladesh, 1982–2002 (n = 125,720).1 (Numbers in parentheses are the percentages of the row totals)

Table 2(a)  Results of Cox proportional hazards models (relative risks (RR) and standard errors (SE)) of first-week mortality: interbirth vs. inter-outcome intervals, without and with controls for duration of gestation, and effects of inter-outcome intervals by type of preceding pregnancy outcome, without and with controls for other explanatory variables. Matlab, Bangladesh, 1982–2002 (n = 125,720)

Table 2(b)  Results of Cox proportional hazards models (relative risks (RR) and standard errors (SE)) of late neonatal mortality: interbirth vs. inter-outcome intervals, without and with controls for duration of gestation, and effects of inter-outcome intervals by type of preceding pregnancy outcome, without and with controls for other explanatory variables. Matlab, Bangladesh, 1982–2002 (n=121,936)

Table 2(c)  Results of Cox proportional hazards models (relative risks (RR) and standard errors (SE)) of post-neonatal mortality: interbirth vs. inter-outcome intervals, without and with controls for duration of gestation, and effects of inter-outcome intervals by type of preceding pregnancy outcome, without and with controls for other explanatory variables. Matlab, Bangladesh, 1982–2002 (n=119,718)

Table 2(d)  Results of Cox proportional hazards models (relative risks (RR) and standard errors (SE)) of child mortality: interbirth vs. inter-outcome intervals, without and with controls for gestation, and effects of inter-outcome intervals by type of preceding pregnancy outcome, without and with controls for other explanatory variables (n=110,191). Matlab, Bangladesh, 1982–2002

Figure 1 Interbirth intervals vs. inter-outcome intervals: how length of preceding interval affects mortality, without and with controls for duration of gestation. Matlab, Bangladesh, 1982–2002

Note: Open symbols indicate that the relative risk is not different from 1.0 at a significance level of p<0.05

Source: Table 2(a)–(d), Columns 1–3

Figure 1  Interbirth intervals vs. inter-outcome intervals: how length of preceding interval affects mortality, without and with controls for duration of gestation. Matlab, Bangladesh, 1982–2002 Note: Open symbols indicate that the relative risk is not different from 1.0 at a significance level of p<0.05 Source: Table 2(a)–(d), Columns 1–3

Figure 2 Relative risks associated with inter-outcome intervals of various lengths (compared to intervals of 3–5 years following births of children who survived), by type of outcome of preceding pregnancy. Matlab, Bangladesh, 1982–2002

Note: Solid symbols indicate that relative risks are significantly different at p<0.05

Source: Table 2(a)–(d), Column 5

Figure 2  Relative risks associated with inter-outcome intervals of various lengths (compared to intervals of 3–5 years following births of children who survived), by type of outcome of preceding pregnancy. Matlab, Bangladesh, 1982–2002 Note: Solid symbols indicate that relative risks are significantly different at p<0.05 Source: Table 2(a)–(d), Column 5