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5. Mothers' health



Section summary

5.1 Introduction

This section addresses the following questions:

Like the child health data, maternal health data collected in Wave 1 were mainly cross-sectional. However, retrospective data regarding maternal health during pregnancy and the postnatal period allow us to start to appreciate the longitudinal nature of the development of good and poor child outcomes in the early years.

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5.2 Findings

Maternal health variables

The maternal health variables (Table 20) could broadly be classified as prenatal, postnatal, current health, and current lifestyle. In the bivariate and multivariable analyses, we examined whether maternal health variables predicted Outcome Index scores, while noting the caveats regarding causal inferences above. All maternal health measures were self-reported.

The child outcomes examined for this section were the overall Outcome Index and the three domain scores. We examined the association between each maternal health variable with the continuous Outcome Index score and the proportion of study children with an Outcome Index score in the top 15 per cent and bottom 15 per cent of their cohort.

Figures 11 to 12 show the proportions of the child cohort according to the maternal health variables scoring in the top 15 per cent (that is, above the positive cut-off ) and bottom 15 per cent (that is, below the negative cut-off ) of total Outcome Index scores. Independent associations of each variable with the overall Outcome Index score for both the infant and child cohorts were examined using multivariable regression analyses controlling for all other prenatal, postnatal, current health and current lifestyle variables as well as for the set of socioeconomic variables referred to in Section 2. These results are presented in Tables 21 and 22.

The proportions of the child cohort according to each maternal health variable scoring in the top and bottom 15 per cent of overall Outcome Index scores show that some of the relationships are striking, while others are marginal or absent (see Figures 9 and 10). These analyses are bivariate, that is, not adjusted for sociodemographic or other variables. Comparable graphs for the infant cohort are not shown; relationships between health variables and high or low Outcome Index scores were generally either absent or weaker than (but in the same direction as) the child cohort.

Prenatal maternal health variables

Postnatal maternal health variables

Current maternal health variables

Current maternal lifestyle variables

Impact of maternal health variables on child outcomes: multivariable analyses

Tables 21 (infant cohort) and 22 (child cohort) show multivariable linear regression relationships between the maternal health variables and the continuous Outcome Index and domain scores, all adjusted for the nine key sociodemographic variables identified in Section 2. Table 21 shows that the final multivariable models for the infant cohort accounted for only small proportions of the total variance in scores (5.5 per cent of the overall Outcome Index and 5 per cent or less for each domain score). Over and above the contribution of the sociodemographic variables, the maternal health variables as a group accounted for 3.6 per cent of the variability in overall Outcome Index score.

There was no evidence that diabetes, hypertension, or cigarette smoking during pregnancy were associated with overall Outcome Index or domain scores (all p›0.10), suggesting that the observed correlation between heavy prenatal smoking and infant Outcome Index scores may be largely explicable by sociodemographic gradients. There was strong evidence (p‹0.001) that maternal general health (but not serious psychological distress) affected infant overall and physical and social–emotional scores, all of which were on average 2 to 3 points lower if the mother reported only good, fair or poor (as opposed to excellent or very good) general health. There was no evidence that daily alcohol consumption, maternal smoking, number of residents smoking indoors, or maternal fruit and vegetable intake were associated with Outcome Index scores (all p›0.30). There was strong evidence (p‹0.001) that increasing maternal enjoyment of physical activity was associated with increasing overall Outcome Index, social–emotional and learning domain scores, but not physical domain scores. Regarding maternal BMI status, the single finding that overweight and obesity were associated with slightly higher social–emotional domain scores is of uncertain importance.

Table 22 shows that the final multivariable models for the child cohort accounted for considerably larger proportions of the total variance in scores (20 per cent for the overall Outcome Index, 7 per cent for the physical domain, 17 per cent for the social–emotional domain, and 14 per cent for the learning domain respectively). Over and above the contribution of the nine sociodemographic variables, the maternal health variables as a group accounted for 6.4 per cent of variability in Outcome Index scores. Regarding maternal health impacts on the LSAC children, Table 22 shows the following strong associations:

For all other maternal health variables, there was either no evidence of association with Outcome Index or domain scores (diabetes and hypertension in pregnancy; current alcohol and smoking; and fruit and vegetable intake) or the associations were weak and/or inconsistent in direction (cigarette smoking during pregnancy, number of residents who smoke indoors, BMI status).

Substantial amounts of data were missing for both the postnatal depression and maternal BMI status variables. Because postnatal depression had the highest number of missing cases and showed little relationship to overall Outcome Index or domain scores, it was excluded from the multivariable analyses reported above (which increased the available child sample by around 250 individuals). Maternal BMI status was missing for a further 224 infants and 217 children, and made a borderline contribution to the learning domain score (p=0.02) in the child cohort. Data on BMI status were more likely to be missing when a language other then English was spoken at home, with lower maternal education and low family income (both infants and children); lower occupational class (infants only); and being an Aboriginal or Torres Strait Islander (child cohort only) (all p‹0.05). Therefore, the multivariable analysis was repeated without the inclusion of maternal BMI status as a potential predictor. Total variance explained was nearly identical with and without maternal BMI status and no conclusion changed as a result.

Table 20: Physical health characteristics of mothers of the infant and child cohorts
Maternal characteristic Infants Children
n Value n Value
Prenatal        
Had diabetes during pregnancy (%) 4,223 5.9 4,043 5.7
Had high blood pressure during pregnancy (%) 4,238 8.3 4,069 8.0
Drank alcohol during pregnancy (%) 4,227 37.6 4,075 27.7
Frequency of alcohol consumption during pregnancy (%) 4,054   4,075  

Did not drink at all

  62.7   72.4

Drank occasionally

  36.5   27.1

Drank most days

  0.7   0.5
Smoked cigarettes during pregnancy (%) 4,239 18.3 4,074 20.0
Frequency of maternal cigarette smoking during pregnancy (%)   4,074  

Did not smoke at all

      80.0

Smoked occasionally

      9.7

Smoked most days

      10.3
Number of cigarettes smoked daily during pregnancy (%) 4,284    

None

  83.7    

1–12

  12.1    

13–24

  3.5    

25 or more

  0.7    
Postnatal        
Suffered from postnatal depression (%)   3,738 15.4
Current health        
General health (%) 4,300   4,160  

Excellent/very good

  61.0   58.0

Good/fair/poor

  39.0   42.0
Suffers from serious psychological distress (%) 4,307 4.1 4,164 6.0
BMI status of mother (%) 3,957   3,843  

Not overweight

  55.4   55.6

Overweight

  25.9   26.1

Obese

  18.7   18.3
Current lifestyle        
Average daily alcohol consumption (median [p25, p75]) 4,152 0.14 [0.05, 0.57] 3,977 0.20 [0.05, 0.57]
Average daily alcohol consumption is greater than two standard drinks (%) 4,152 2.1 3,977 3.4
Has five or more standard drinks in a sitting two times per month or more often (%) 4,213 7.4 4,050 11.6
Number of cigarettes smoked daily (%) 4,284   4,119  

None

  80.6   78.9

1–12

  12.4   12.2

13–24

  5.7   7.0

25 or more

  1.3   2.0
Number of residents who smoke inside household (%) 4,301   4,175  

None

  87.8   85.7

One

  8.0   10.4

Two or more

  4.2   3.9
Has five or more serves of vegetables and two or more serves of fruit per day (%) 4,299 3.5 4,152 3.6
Level of enjoyment of physical activity (%) 4,300   4,157  

Not enjoyable/a little enjoyable

  30.9   28.2

Moderately enjoyable

  42.8   42.0

Very enjoyable

  26.3   29.8
Days per week that mother does 30 minutes of MVPA (median [p25, p75]) 4,307 2 [1, 4] 4,152 2 [1, 4]
Does 30 minutes of MVPA 5 or more times per week (%) 4,307 16.5 4,152 17.8
Note: p25=25th percentile, p75=75th percentile.
Due to rounding, percentages may not add to 100 per cent (or subtotals) exactly.

Figure 11: Low Outcome Index: percentage of child cohort

Figure 11: Low outcome Index: percentage of child cohort

Figure 12: High Outcome Index: percentage of child cohort

Figure 12: High outcome Index: percentage of child cohort


Table 21: Multivariable relationships between maternal health characteristic and the Outcome Index and domain scores for the infant cohort
Maternal characteristics(a)

Outcome Index score
n=2,909
R2=5.5%

Physical domain score
n=3,310
R2=5.0%

Social–emotional domain score
n=3,304
R2=4.5%

Learning domain score
n=2,916
R2=3.9%

Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b)
Prenatal                
Diabetes –0.4 (–2.1, 1.3) 0.62 –0.7 (–2.5, 1.0) 0.40 0.2 (–1.4, 1.7) 0.84 –0.6 (–2.4, 1.1) 0.47
Hypertension 0.9 (–0.6, 2.5) 0.24 –0.2 (–1.7, 1.4) 0.83 –0.1 (–1.4, 1.3) 0.93 1.2 (–0.3, 2.6) 0.11
No. of cigarettes smoked daily   0.42   0.80   0.92   0.09

None

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

1–12

–0.6 (–2.4, 1.3) 0.53 –0.3 (–2.1, 1.5) 0.73 0.1 (–1.4, 1.6) 0.91 –0.1 (–1.6, 1.5) 0.94

13–24

1.0 (–1.9, 3.9) 0.49 –0.7 (–3.6, 2.2) 0.64 1.0 (–1.9, 4.0) 0.49 1.0 (–1.7, 3.6) 0.47

25 or more

–4.0 (–11.6, 3.5) 0.29 –4.2 (–12.8, 4.3) 0.33 0.3 (–7.3, 8.0) 0.93 –6.6 (–12.2, –1.0) 0.02
Current health                
General health good/fair/poor –2.7 (–3.6, –1.9) ‹0.001 –3.1 (–3.9, –2.3) ‹0.001 –2.3 (–3.1, –1.5) ‹0.001 –0.1 (–0.8, 0.7) 0.85
Psychological distress (serious) 0.2 (–2.0, 2.5) 0.86 –0.2 (–2.6, 2.1) 0.85 0.1 (–2.4, 2.6) 0.96 1.0 (–0.8, 2.8) 0.29
BMI status   0.07   0.76   ‹0.001   0.37

Not overweight

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

Overweight

1.0 (0.2, 1.9) 0.02 –0.1 (–1.0, 0.7) 0.72 1.6 (0.7, 2.4) ‹0.001 0.5 (–0.4, 1.3) 0.30

Obese

0.1 (–0.9, 1.2) 0.79 –0.4 (–1.4, 0.6) 0.48 1.4 (0.4, 2.3) 0.007 –0.3 (–1.4, 0.8) 0.56
Current lifestyle                
Daily alcohol consumption ›2 standard drinks –1.2 (–3.9, 1.5) 0.39 0.3 (–2.2, 2.9) 0.80 –0.3 (–2.5, 1.9) 0.80 –2.1 (–4.6, 0.3) 0.09
No. of cigarettes smoked daily   0.38   0.84   0.50   0.18

None

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

1–12

1.6 (–0.2, 3.3) 0.09 –0.5 (–2.3, 1.3) 0.58 1.0 (–0.5, 2.6) 0.18 2.0 (0.2, 3.7) 0.03

13–24

1.2 (–1.2, 3.6) 0.32 –1.0 (–3.7, 1.7) 0.47 1.4 (–0.8, 3.5) 0.22 1.2 (–1.1, 3.6) 0.29

≥25

0.0 (–4.9, 4.9) 1.0 –1.4 (–5.8, 2.9) 0.52 1.8 (–2.7, 6.3) 0.43 1.8 (–2.5, 6.1) 0.42
No. of residents who smoke inside   0.74   0.57   0.30   0.005

None

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

One

0.2 (–1.4, 1.8) 0.80 –0.8 (–2.4, 0.8) 0.34 –1.1 (–2.7, 0.5) 0.16 2.2 (0.7, 3.6) 0.003

Two or more

–0.9 (–3.1, 1.4) 0.46 0.4 (–2.0, 2.8) 0.73 –0.8 (–2.7, 1.2) 0.45 –1.1 (–3.1, 1.0) 0.32
≥5 serves of vegetables and ≥2 serves of fruit/day –1.0 (–3.2, 1.3) 0.40 0.8 (–1.7, 3.2) 0.54 –0.3 (–2.2, 1.6) 0.75 –1.9 (–4.2, 0.4) 0.10
Enjoyment of physical activity   ‹0.001   0.24   ‹0.001   ‹0.001

Dislikes/neutral

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

Somewhat enjoys

1.7 (0.8, 2.6) ‹0.001 0.4 (–0.4, 1.2) 0.34 1.4 (0.5, 2.2) 0.002 1.7 (0.8, 2.6) ‹0.001

Very much enjoys

2.8 (1.8, 3.8) ‹0.001 0.8 (–0.1, 1.8) 0.09 2.3 (1.4, 3.2) ‹0.001 2.2 (1.1, 3.3) ‹0.001
(a) The reference category for each characteristic is italicised.
(b) The overall p-value represents evidence against the null hypothesis of no differences between groups (see text). Caution is urged when interpreting individual category versus baseline p-values (see Box 2: Interpretation of multivariable analyses).

Table 22: Multivariable relationships between maternal health characteristic and the Outcome Index and domain scores for the child cohort
Maternal characteristics(a)

Outcome Index score
n=3,335
R2=19.5%

Physical domain score
n=3,325
R2=7.1%

Social–emotional domain score
n=3,332
R2=16.9%

Learning domain score
n=3,325
R2=14.2%

Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b) Coefficient
(95% CI)
p-value(b)
Prenatal                
Diabetes –0.2 (–1.6, 1.3) 0.81 –1.6 (–3.3, 0.1) 0.07 0.5 (–1.0, 2.0) 0.49 0.8 (–0.9, 2.5) 0.35
Hypertension 0.1 (–1.0, 1.3) 0.82 –0.3 (–1.6, 1.1) 0.69 0.2 (–1.0, 1.4) 0.75 0.0 (–1.3, 1.3) 0.98
Cigarette smoking   0.05   0.68   0.02   0.02

Did not smoke

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

Occasionally

–0.7 (–2.0, 0.7) 0.33 0.4 (–1.0, 1.8) 0.59 –1.0 (–2.4, 0.4) 0.16 –0.8 (–2.2, 0.6) 0.28

Most days

–1.8 (–3.2, –0.3) 0.02 0.7 (–0.9, 2.2) 0.41 –2.2 (–3.7, –0.6) 0.005 –2.3 (–3.8, –0.7) 0.004
Current health                
General health good/fair/poor –3.3 (–4.0, –2.7) ‹0.001 –4.1 (–4.8, –3.4) ‹0.001 –2.6 (–3.3, –2.0) ‹0.001 –0.4 (–1.1, 0.3) 0.31
Psychological distress (serious) –5.1 (–6.9, –3.4) ‹0.001 –2.0 (–3.8, –0.2) 0.03 –6.4 (–8.3, –4.6) ‹0.001 –2.3 (–4.1, –0.5) 0.01
BMI status   0.04   0.33   0.43   0.02

Not overweight

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

Overweight

–0.1 (–0.8, 0.7) 0.88 0.0 (–0.7, 0.8) 0.94 0.0 (–0.7, 0.8) 0.93 –0.2 (–1.0, 0.6) 0.65

Obese

–1.2 (–2.2, –0.2) 0.02 –0.8 (–2.0, 0.3) 0.16 –0.6 (–1.7, 0.4) 0.23 –1.3 (–2.2, –0.4) 0.005
Current lifestyle                
Daily alcohol consumption ›2 standard drinks 0.8 (–0.6, 2.3) 0.26 0.5 (–1.2, 2.2) 0.57 0.8 (–0.7, 2.4) 0.28 0.4 (–1.3, 2.2) 0.63
No. of cigarettes smoked daily   0.48   0.44   0.24   0.22

None

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

1–12

0.0 (–1.2, 1.3) 0.95 0.1 (–1.3, 1.6) 0.86 0.1 (–1.1, 1.4) 0.81 –0.2 (–1.5, 1.1) 0.76

13–24

1.0 (–0.7, 2.8) 0.23 0.1 (–1.7, 1.9) 0.91 0.6 (–1.3, 2.5) 0.51 1.5 (–0.4, 3.3) 0.13

25 or more

–0.7 (–3.1, 1.7) 0.56 2.0 (–0.5, 4.5) 0.11 –2.5 (–5.4, 0.4) 0.09 –1.0 (–3.7, 1.8) 0.48
No. of residents who smoke inside   0.23   0.43   0.56   0.006

None

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

One

–1.1 (–2.4, 0.3) 0.12 0.4 (–1.0, 1.8) 0.55 –0.7 (–1.9, 0.6) 0.30 –2.0 (–3.2, –0.8) 0.001

Two or more

–1.1 (–3.3, 1.2) 0.36 –1.2 (–3.7, 1.3) 0.33 –0.5 (–2.6, 1.6) 0.64 –0.5 (–2.9, 1.9) 0.69
≥5 serves of vegetables and ≥2 serves of fruit/day 1.2 (–0.5, 2.9) 0.17 1.4 (–0.8, 3.6) 0.22 0.8 (–0.9, 2.4) 0.37 –0.4 (–2.2, 1.3) 0.64
Enjoyment of physical activity   0.002   0.91   ‹0.001   0.38

Dislikes/neutral

0 (–,–)   0 (–,–)   0 (–,–)   0 (–,–)  

Somewhat enjoys

0.4 (–0.5, 1.2) 0.38 –0.2 (–1.1, 0.7) 0.73 0.9 (0.0, 1.7) 0.05 0.0 (–0.8, 0.8) 1.0

Very much enjoys

1.4 (0.6, 2.2) 0.001 0.0 (–0.9, 0.9) 0.99 2.4 (1.5, 3.3) ‹0.001 0.5 (–0.4, 1.4) 0.29
(a) The reference category for each characteristic is italicised.
(b) The overall p-value represents evidence against the null hypothesis of no differences between groups (see text). Caution is urged when interpreting individual category versus baseline p-values (see Box 2: Interpretation of multivariable analyses).

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5.3 Discussion

These findings confirm the major role of mothers' own health in their children's outcomes. LSAC mothers were broadly representative of all Australian mothers on parameters such as smoking and alcohol in pregnancy, mental health status, and prevalence of overweight and obesity. This gives confidence that the associations between maternal health and children's outcomes revealed in the multivariable analyses are likely to be generalisable to the broader population of Australian children.

Of all the child and maternal health variables studied, serious maternal psychological distress predicted the greatest fall in children's outcomes (by half a standard deviation or more). Rates of serious maternal psychological distress were 1.5 times higher in mothers of preschoolers (6 per cent) than mothers of infants (4 per cent). This is not an isolated finding—Queensland's Longitudinal Mater Study (Najman et al. 2000) also reported that maternal depression was more common prenatally and at age 4 than in the postnatal year. There appears to be a need for services and supports directed at improving maternal mental health throughout the entire preschool period, and perhaps beyond.

Maternal general health and enjoyment of physical activity were other powerful predictors of child Outcome Index scores, driven mainly by their impacts on the physical and social–emotional (rather than learning) domains, though their impacts were less sizeable than that of maternal mental health. However, prenatal health, smoking and alcohol use, and meeting nutritional and physical activity guidelines contributed relatively little to children's outcomes in these analyses. These are interesting findings, given that children's own nutritional habits appeared to make a significant and substantial contribution to their outcomes, and that the prenatal maternal health variables studied (hypertension, diabetes, smoking, and alcohol intake) would be expected to contribute to conditions such as intrauterine growth restriction and preterm birth—which did show strong relationships with children's outcomes. It is recognised that separating 'child' and 'maternal' variables is artificial, since they are so closely intertwined particularly during pregnancy. Therefore, analyses combining child and maternal health variables might alter somewhat the relationships depicted in Sections 4 and 5, but were beyond the scope of this report. It is also likely that sociodemographic gradients 'explain' why some of the associations seen in the bivariate were not evident in the multivariable analyses.

The high prevalence of maternal overweight and obesity is of great concern, since maternal BMI status typically exceeds all other risk factors for current and future obesity in their offspring. Though beyond the scope of this report, this relationship has been demonstrated to hold for the LSAC children (Wake et al. 2007). However, it is not surprising that maternal BMI contributed little to children's outcomes, since child overweight/obesity itself had little impact on outcomes. Over time, it is likely that relationships between maternal BMI status, child BMI status, and child outcomes will emerge and intensify.

Taken together, the data in Sections 4 and 5 strongly suggest that children's physical health, mothers' psychological health, and the healthful behaviours of both children and mothers make major contributions to Australian children's outcomes throughout the early years.

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6. Family learning environments and child outcomes

4. Children's health