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Comparing early years and childhood experiences and outcomes in Scotland, England and three city-regions: a plausible explanation for Scottish ‘excess’ mortality?

BMC Pediatrics201414:259

https://doi.org/10.1186/1471-2431-14-259

Received: 2 June 2014

Accepted: 3 October 2014

Published: 10 October 2014

Abstract

Background

Negative early years and childhood experiences (EYCE), including socio-economic circumstances, parental health and parenting style, are associated with poor health outcomes both in childhood and adulthood. It has also been proposed that EYCE were historically worse in Scottish areas, especially Glasgow and the Clyde Valley, compared to elsewhere in the UK and that this variation can provide a partial explanation for the excess of ill health and mortality observed among those Scottish populations.

Methods

Multiple logistic regression analysis was applied to two large, representative, British birth cohorts (the NCDS58 and the BCS70), to test the independent association of area of residence at ages 7 and 5 with risk of behavioural problems, respiratory problems and reading/vocabulary problems at the same age. Cohort members resident in Scotland were compared with those who were resident in England, while those resident in Glasgow and the Clyde Valley were compared with those resident in Merseyside and Greater Manchester.

Results

After adjustment for a range of relevant variables, the risk of adverse childhood outcomes was found to be either no different, or lower, in the Scottish areas. At a national level, the study reinforces the combined association of socio-economic circumstances, parental health (especially maternal mental health) and parenting with child health outcomes.

Conclusion

Based on these samples, the study does not support the hypothesis that EYCE were worse in Scotland and Glasgow and the Clyde Valley. It seems, therefore (based on these data), less likely that the roots of the excess mortality observed in the Scottish areas can be explained by these factors.

Keywords

Child health Spatial analysis Social and life-course epidemiology

Background

Early years’ and childhood experiences (EYCE), including socio-economic circumstances, parental health and parenting style, play an important role in determining childhood outcomes, especially social, emotional and mental health, physical health and learning and development. Risk of childhood behavioural problems is increased by factors such as poverty, low educational attainment and housing difficulties, smoking in pregnancy and maternal malaise, as well as low perceived parenting skills [14]. Physical health in childhood, including limiting long-term illness and asthma, is associated with poor maternal physical health and low household income [5, 6]. Children’s cognitive skills (e.g. vocabulary, visual-motor coordination) are also highly correlated with household income [7] as well as maternal educational attainment, poor maternal health, early motherhood and aspects of parenting [6].

EYCE and their associated outcomes can have consequences for health later in life [8]. Beginning with the experiences themselves, analysis of British birth cohort data has found that childhood material disadvantage (such as paternal social class and living in social housing) increases the risk of poor self-reported health, smoking and premature mortality in adulthood [9, 10]. Other research has found that people reporting poor relationships with their parents in childhood and adolescence are more likely to report three or more health problems in adulthood and, in the case of women, have poorer psychological well-being [11, 12]. Exposure to adverse child experiences (such as abuse or neglect), problem behaviour in childhood and parental disinterest in their child’s education when the child was aged 11, also increases the relative risk of premature death [13, 14].

Turning to the outcomes arising from EYCE, childhood social, emotional and mental health (especially conduct disorders) and psychological health disorders have also been found to be associated directly with increased risk of poor adult health, including smoking and worse mental and physical health, in adulthood [15, 16]. They are also associated with adult determinants of poor health, such as lower educational attainment, reduced economic participation and earnings, relationship difficulties, financial problems and being in trouble with the law [16, 17].

Poor childhood physical health appears to increase the risk of poor self-reported general health, respiratory problems and depression in early adulthood [18] and chronic health conditions in older working-age adults (aged 55–65) [19]. In addition to the direct association, childhood morbidity is associated with lower educational attainment and earnings in adulthood [20], which may make a further contribution to adult ill-health.

Finally, childhood cognitive development is associated both indirectly and indirectly with adult health. Lower levels of cognitive development at age seven have been shown to be associated with increased risk of chronic illnesses in adulthood [21]. Higher levels of childhood cognitive development can also lower the risk of poor mental health in adulthood for women (although it may also increase the risk of alcohol abuse for both genders) [22]. Improved childhood learning and development outcomes can also protect adult health indirectly through their association with higher levels of educational attainment, and lower risk of both economic inactivity (for men only) and receipt of welfare benefits in middle-age [23].

Negative early years’ and childhood experiences have also been proposed as a possible influence on the ‘excess’ levels of poor health seen in Scotland, especially in Glasgow and the West Central Scotland conurbation [24]. This ‘excess’ relates to the higher levels of mortality seen in Scottish areas, even after controlling for age, sex and deprivation. It has been shown to exist for Scotland compared with England [25] and more recently for Glasgow compared with Liverpool and Manchester, where despite these cities sharing identical deprivation profiles, premature mortality is 30% higher in the Scottish city [26]. Geography of residence (in Scotland compared to England, and Glasgow and surrounds compared to similar English conurbations) therefore seems an important independent influence on rates of adult morbidity and mortality, though the factors driving this difference remain unclear.

Following publication of these studies, a number of hypotheses were proposed, ranging from ‘upstream’ (e.g. social and economic inequality, deindustrialisation) to ‘downstream’ explanations (e.g. differences in health behaviours or individual values) [27]. Early years and childhood factors, especially family breakdown, acrimony between partners or dysfunctional parenting, were included among these hypotheses as a ‘midstream’ explanation. Although these are hard to measure directly, we can measure childhood health and social outcomes associated with negative early years and childhood factors, and include geography of residence alongside wider determinants of health. If this theory is plausible, it might be expected that living in Scottish areas in childhood would also be associated with increased risk of poor childhood outcomes, after adjustment for a range of other relevant variables.

In 2013, the Glasgow Centre for Population Health published a report comparing early years’ and childhood experiences in Scotland, England and three ‘city-regions’ (Glasgow & the Clyde Valley (GCV), Greater Manchester (GM) and Merseyside) [28]. Its purpose was to investigate whether there were differences in these health determinants that might help explain the poor health of Scotland and GCV relative to these areas. Few clear differences in contemporary childhood and early years’ experiences emerged from the analyses. The exceptions were smoking during pregnancy and breastfeeding at a national level, although at a regional level the size of these differences diminished or even disappeared. There were also more ambiguous findings on dysfunctional households, parental warmth and shouting at children. However, the study was descriptive only and did not test for the influence of multiple factors simultaneously on childhood health outcomes.

This paper fills a gap in the knowledge base by formally testing whether historic early years’ and childhood experiences were worse in Scotland and GCV compared to other places, all other things being equal. It does this by using more sophisticated statistical methods –multiple logistic regression analysis – to examine the association between geography of residence and child health outcomes, while controlling for a range of important social, economic and family characteristics.

The hypothesis is that the early years’ experiences (in particular child poverty, parenting, or some combination of these) for children growing up in Scotland and West Central Scotland was worse compared to children growing up in England, Merseyside and Greater Manchester. This led to poor childhood outcomes, which in turn fed through to poorer adulthood health and higher rates of morbidity and premature mortality. In this phase of research the focus is on exploring whether or not residence of Scottish areas in childhood resulted in poorer childhood health outcomes, even after taking other factors into account.

Methods

Two large cohort studies, the National Child Development Study (NCDS58) and the British Cohort Study 1970 (BCS70), were used to test the hypotheses. It was decided not to use the Millennium Cohort Study (MCS), despite its more comprehensive measures of parenting and health, because its Merseyside sample largely excludes Liverpool City residents and was therefore considered unrepresentative. Essential to this research, both the NCDS58 and BCS70 record cohort members’ area of residence (at a national and sub-regional level) at each sweep [29]. Informed consent was obtained from the parents of cohort members for childhood measurements. NCDS58 and BCS70 data are open access datasets available to non-profit research organisations.

Participants

Only cohort members resident in Scotland or England were selected for the national analyses, providing 14,585 cases in the NCDS58 and 12,323 in the BCS70. For regional comparisons, only cohort members living in Glasgow & the Clyde Valley, Greater Manchester or Merseyside at ages 7 (NCDS58) and 5 (BCS70) were chosen, with a total of 1,502 NCDS58 cases and 1,247 BCS70 cases. Tables 1 and 2 provide descriptive statistics on the original datasets.
Table 1

Descriptive statistics for relevant explanatory and outcome variables, NCDS 1958

 

N

%

 

N

%

Explanatory variables

     

Area of residence (aged 7)

     

England

12945

88.8

GCV

701

46.7

Scotland

1640

11.2

Merseyside

399

26.6

   

Gr. Manchester

402

26.8

Social class of father

     

Class 1 & 2

2311

15.8

Class 1 & 2

174

11.6

Class 3

8140

55.8

Class 3

820

54.6

Class 4 & 5

2890

19.8

Class 4 & 5

399

26.6

Missing

1244

8.5

Missing

109

7.3

Low birth weight

     

Not LBW

9761

66.9

Not LBW

966

64.3

LBW

1049

7.2

LBW

110

7.3

Missing

3775

25.9

Missing

426

28.4

Mother in school after MLA

     

Stayed

3455

23.7

Stayed

230

15.3

Not stayed

10553

72.4

Not stayed

1238

82.4

Missing

577

4.0

Missing

34

2.3

Housing tenure

     

Owner occupied

5775

39.6

Owner occupied

453

30.2

Rented

7998

54.8

Rented

972

64.7

Missing

812

5.6

Missing

77

5.1

Age of mother at birth of child

     

20+

13284

91.1

20+

1386

92.3

Under 20

758

5.2

Under 20

85

5.7

Missing

543

3.7

Missing

31

2.1

Smoking after 4 months preg.

     

Non smoker

9267

63.5

Non smoker

836

55.7

Smoker

4615

31.6

Smoker

617

41.1

Missing

703

4.8

Missing

49

3.3

Ever breastfed

     

No

4257

29.2

No

629

41.9

Yes

9469

64.9

Yes

788

52.5

Missing

859

5.9

Missing

85

5.7

Father’s role in child-rearing

     

Big, equal to mum

7832

53.7

Big, equal to mum

853

56.8

Dad sig, mum more

4062

27.9

Dad sig, mum more

349

23.2

Leaves mainly to mum

1448

9.9

Leaves mainly to mum

153

10.2

Missing

1243

8.5

Missing

147

9.8

Frequency mum reads to child

     

Hardly ever

2178

14.9

Hardly ever

218

14.5

Occasionally

4791

32.8

Occasionally

509

33.9

Every week

6700

45.9

Every week

687

45.7

Missing

916

6.3

Missing

88

5.9

Frequency dad reads to child

     

Hardly ever

3762

25.8

Hardly ever

352

23.4

Occasionally

4676

32.1

Occasionally

427

28.4

Every week

4783

32.8

Every week

564

37.5

Missing

1364

9.4

Missing

159

10.6

Outcome variables

     

Rutter scores

     

Normal

10689

73.3

Normal

1164

77.5

Moderate-severe

2258

15.5

Moderate-severe

208

13.8

Missing

1638

11.2

Missing

130

8.7

Respiratory problems

     

No

12076

82.8

No

1271

84.6

Yes

2509

17.2

Yes

231

15.4

Reading problems

     

No

11738

80.5

No

1214

80.8

Yes

2397

16.4

Yes

236

15.7

Missing

450

3.1

Missing

52

3.5

Table 2

Descriptive statistics for relevant explanatory and outcome variables, BCS 1970

 

N

%

 

N

%

Explanatory variables

     

Area of residence (aged 5)

     

England

11157

90.5

GCV

377

30.2

Scotland

1166

9.5

Merseyside

420

33.7

   

Gr. Manchester

450

36.1

Social class of father

     

Class 1 & 2

1942

15.8

Class 1 & 2

130

10.4

Class 3

6907

56.0

Class 3

716

57.4

Class 4 & 5

2402

19.5

Class 4 & 5

325

26.1

Missing

1072

8.7

Missing

76

6.1

Low birth weight

     

Not LBW

11215

91.0

Not LBW

1135

91.0

LBW

753

6.1

LBW

78

6.3

Missing

355

2.9

Missing

34

2.7

Mother’s education

     

Some qualifications

5224

42.4

Some qualifications

468

37.5

No qualifications

6559

53.2

No qualifications

707

56.7

Missing

540

4.4

Missing

72

5.8

Housing tenure

     

Owner occupied

6974

56.6

Owner occupied

644

51.6

Rented

5314

43.1

Rented

601

48.2

Missing

35

0.3

Missing

2

0.2

Age of mother at birth of child

     

20+

10866

88.2

20+

1117

89.6

Under 20

1027

8.3

Under 20

106

8.5

Missing

430

3.5

Missing

24

1.9

Smoking during pregnancy

     

Non smoker

7100

57.6

Non smoker

610

48.9

Smoker

4810

39.0

Smoker

618

49.6

Missing

413

3.4

Missing

19

1.5

Ever breastfed

     

No

7575

61.5

No

885

71.0

Yes

4631

37.6

Yes

355

28.5

Missing

117

0.9

Missing

7

0.6

Maternal mental health

     

Low-moderate malaise

9881

80.2

Low-moderate malaise

950

76.2

High malaise

2197

17.8

High malaise

270

21.7

Missing

245

2.0

Missing

27

2.2

Dad helps mum put child to bed

     

Yes

10805

87.7

Yes

646

51.8

No

1192

9.7

No

548

43.9

Missing

326

2.6

Missing

53

4.3

Who read to child in last week

     

Someone

10805

87.7

Someone

1062

85.2

No one

1192

9.7

No one

153

12.3

Missing

326

2.6

Missing

32

2.6

Missing

  

Missing

  

Outcome variables

     

Rutter scores

     

Normal

9416

76.4

Normal

944

75.7

Moderate-severe

2260

18.3

Moderate-severe

248

19.9

Missing

647

5.3

Missing

55

4.4

Respiratory problems

     

No

9823

79.7

No

1028

82.4

Yes

2475

20.1

Yes

215

17.2

Missing

25

0.2

Missing

4

0.3

Vocabulary problems

     

No

11000

89.3

No

1112

89.2

Yes

1323

10.7

Yes

135

10.8

Measures

Outcome measures

Three outcome measures, measured at age 7 in the NCDS and age 5 in the BCS70, were derived. These were behavioural problems, respiratory problems and reading/vocabulary problems. The measures were chosen because of their association with negative early years’ experiences and with subsequent risk of poor health and disadvantage in adulthood, as discussed above.

Behavioural problems were measured using Rutter scores at ages 5 (NCDS58) and 7 (BCS70). To derive these scores, cohort members’ mothers were asked a series of questions describing behaviour shown by many children and asked to what extent these applied to their own child (e.g. child ‘is miserable or tearful’, ‘is squirmy or fidgety’, ‘prefers to do things on his/her own rather than with other children’ (never/sometimes/frequently)). Responses to these questions were then combined into an index used to detect emotional/behavioural disturbances in children [30]. Using an approach described elsewhere [31], cohort members were classified as having normal (below the 80th percentile), moderate (80th-95th percentile) or severe (above the 95th percentile) behavioural problems. This was then dichotomised into a simple normal vs. moderate-severe category. Respiratory problems were defined as the cohort member ever having an asthma attack or bronchitis with wheezing (NCDS58), following Strachan and Butland [32], or having a diagnosis of wheezing, asthma or bronchitis (BCS70). Cognitive ability was measured using the Southgate Group Reading Test (NCDS 1958) and the English Picture Vocabulary Test (BCS70). The Southgate Group Reading test was a measure of word recognition and comprehension. For 16 items, children were asked to look at a picture of an object and circle the word that picture represented; for a further 14, the teacher read out a word and children were again asked to circle the word that applied [33]. Reading problems in the NCDS58 were defined as scoring 0–15 (out of a possible 30) in the Southgate Group Reading Test at age 7 – one standard deviation below the mean. The English Picture Vocabulary Test was a measure of early English language development and understanding. Children were shown four pictures and a word was read out: they were asked to point to the picture which corresponded to the word being read out [34]. Vocabulary problems in the BCS70 were defined as scoring one standard deviation below the mean in the English Picture Vocabulary Test (EPVT) at age 5.

Explanatory variables

A range of explanatory variables were also used. Measures covered three themes (socio-economic status (SES), maternal health and parenting) and were selected based in prior research demonstrating their clear association with children’s health outcomes [6, 35]. SES measures included: father’s social class (used as an imperfect proxy for household income), child’s birth-weight, age of mother, mother’s education, housing tenure, age of mother at birth of the cohort member and (BCS70 only) family structure. Maternal health included measures of smoking in pregnancy, breastfeeding and (for the BCS70 only) maternal mental health. Parenting measures included measures of reading to the child and the role of the father in bringing up the cohort member. With the exception of social class, family structure, reading to child (NCDS only) and role of father (NCDS only), all explanatory variables were treated as dichotomous. Geographic variables showing country (Scotland/England) and region (Glasgow & the Clyde Valley/Greater Manchester/Merseyside) of residence were also added to the datasets. All explanatory variables were either measured at the same point in time as the outcome measure or shortly after the birth of the cohort member.

Statistical analysis

In order to check the representativeness of the cohort studies, the social class distribution of these samples, at a national and city-region level, was compared with the 1971 and 1981 Censuses of Population. The social class distribution was found to be similar in both Censuses and cohort studies, increasing the likelihood that findings from these samples also apply to the broader population. Missing values were imputed using the multiple imputation option in SPSS 21. Multiple logistic regression was then used to measure the independent effect of nation and region of residence, on the three outcome measures. Scotland and Glasgow and the Clyde Valley were the reference categories for area of residence. Tables showing both the unadjusted and adjusted effect of area of residence on the three outcome variables were created [Tables 3 and 4]. The unadjusted figures show the effect of area of residence alone on the likelihood of having behavioural problems, respiratory problems or reading/vocabulary problems. Adjusted figures illustrate the effect of area of residence on the outcome measures after adjusting for SES, maternal health and parenting.
Table 3

Odds ratio for moderate-high Rutter score, respiratory problems and reading problems by area of residence, missing values imputed, NCDS 1958

Area

Odds ratio for moderate-high Rutter score

 

Odds ratio for respiratory problems

Odds ratio for reading problems

Nation

Unadjusted OR

Adjusted OR ǂ

Unadjusted OR

Adjusted OR ǂ

Unadjusted OR

Adjusted OR ǂ

Scotland

1

1

1

1

1

1

England

1.32* (1.13 - 1.53)

1.36* (1.17 - 1.59)

1.50* (1.29 - 1.74)

1.58* (1.36 - 1.85)

2.01* (1.70 - 2.39)

2.57* (2.15 - 3.07)

 

p < 0.01

p < 0.01

p < 0.01

p < 0.01

P < 0.01

P < 0.01

City-region

      

GCV

1

1

1

1

1

1

Merseyside

1.88* (1.29 - 2.74)

1.75** (1.17 - 2.61)

1.60* (1.13 - 2.24)

1.70* (1.19 - 2.44)

2.00* (1.42 - 2.83)

2.34* (1.60 - 3.41)

Gr. Manchester

2.05* (1.43 - 2.94)

1.93* (1.32 - 2.84)

1.64* (1.16 - 2.30)

1.74* (1.21 - 2.51)

2.23* (1.59 - 3.13)

3.06* (2.10 - 4.46)

*p < 0.01 **p < 0.05. ǂ Adjusted for socio-economic circumstances, maternal health and parenting.

Table 4

Odds ratio for moderate-high Rutter score, respiratory problems and vocabulary difficulties by area of residence, missing values imputed, BCS 1970

Area

Odds ratio for moderate-high Rutter score

 

Odds ratio for respiratory problems

Odds ratio for vocabulary difficulties

Nation

Unadjusted OR

Adjusted OR ǂ

Unadjusted OR

Adjusted OR ǂ

Unadjusted OR

Adjusted OR ǂ

Scotland

1

1

1

1

1

1

England

1.13 (0.96 - 1.33)

1.26** (1.06 -1.50)

1.24* (1.05 - 1.45)

1.37* (1.14 - 1.65)

0.89 (0.73 - 1.07)

0.95 (0.77 - 1.17)

 

P = NS

P < 0.01

p < 0.01

p < 0.01

p = NS

P < 0.01

City-region

      

GCV

1

1

1

1

1

1

Merseyside

1.12 (0.79 - 1.59)

0.80 (0.55 - 1.17)

1.07 (0.74 - 1.55)

1.10 (0.74 - 1.63)

0.68 (0.44 - 1.04)

0.66 (0.41 - 1.06)

Gr. Manchester

1.23 (0.87 - 1.73)

0.88 (0.63 - 1.24)

1.04 (0.72 - 1.49)

1.08 (0.73 - 1.60)

0.64 (0.42 - 0.99)

0.67 (0.41 - 1.07)

*p < 0.01 **p < 0.05. ǂ Adjusted for socio-economic circumstances, maternal health and parenting.

As a sensitivity analysis, the process was repeated for those cases for which information was complete for all variables. Results were similar, although the ‘complete cases’ approach produced slightly higher odds ratios and less precise confidence intervals.

Results

In the NCDS58, cohort members resident in England at age 7 had an increased risk of behavioural problems (1.36, 1.17 to 1.59), respiratory problems (1.58, 1.36 to 1.85) and reading problems (2.57, 2.15 to 3.07) at age 7, even after adjustment for all other explanatory variables, compared with cohort members resident in Scotland. Cohort members resident in Merseyside or Greater Manchester at age 7 also had an increased risk of behavioural problems, respiratory problems and reading problems, compared with their GCV-resident peers (Table 3). This does not support the hypothesis that living in the Scottish areas is associated with a higher risk of poor childhood outcomes, once other factors are taken into account.

In the BCS70, cohort members resident in England at age 5 had an increased risk of behavioural problems (1.26, 1.06 to 1.50) and respiratory problems (1.37, 1.14 to 1.65) at age 5, after full adjustment, compared with cohort members resident in Scotland at the same age. Country of residence was not a significant predictor of vocabulary difficulties. Region of residence was not significantly associated with any of the three outcomes, after adjusting for SES, maternal health and parenting (Table 4). Again, this fails to confirm the hypothesis that living in Scottish areas was more detrimental to childhood outcomes, all other things being equal.

Taking both sets of results together, it appears that living in Scotland and GCV did not confer ‘excess’ behavioural problems, respiratory problems or reading/vocabulary problems in childhood. (Indeed, there is a suggestion that residence of Scotland may have provided some modest protective effects). It is difficult to see how EYCE which are better or no different might then translate into higher rates of poor health and mortality in adulthood. Other explanations might be required.

We can also look in more detail at the other determinants of childhood outcomes. At national level, socio-economic status, maternal health and parenting were all independently associated with the three outcomes. Parenting factors were relatively less important for respiratory problems. Predictors with the strongest association varied by outcome examined. For behaviour problems these included the father’s role in bringing up the child, age of mother, social class and mother’s mental health. For respiratory problems they included smoking in pregnancy, social class, mother’s mental health and low birth-weight. Finally, for reading/vocabulary difficulties these included reading to child, social class and low birth-weight.

Few variables had independent explanatory power at a regional level. This may reflect the similarities between the three regions. Maternal mental health was associated with all three outcomes (BCS70 cohort only), while reading/vocabulary problems were associated with lack of reading to the child and some indicators of socio-economic status (See Additional file 1).

Discussion

Based on these two large, representative cohort study samples, the main finding of this study is that the evidence does not support the hypothesis that early years experiences (as measured here) were worse historically in Scotland and GCV, compared to England and Merseyside/Greater Manchester. After controlling for socio-economic status, maternal health and parenting measures, the childhood outcomes examined in the Scottish areas were either no different, or more favourable, compared to England and its two sub-regions.

The poor health profile in Scotland (and GCV) compared to other European countries is particularly driven by relatively high rates of female lung cancer, male suicide, chronic liver disease (including cirrhosis) and high rates of mortality among younger working-age adults (principally from external causes) [36]. This is relevant because of the links between EYCE and these health outcomes. For example, childhood behavioural problems appear to increase the risk of poor adult mental health, including Malaise and suicide, as well as the likelihood of smoking [15, 16, 37, 38]. However, given the results showed no clear excess in negative EYCE in the Scottish areas, they seems a less plausible pathway for increasing adult risk factors associated with the excess morbidity and mortality seen in the Scottish areas.

To the authors’ knowledge, this is the first study to test the hypothesis that living in Scotland and Glasgow in the 1960s and 1970s was associated with worse early years experiences and outcomes. It contributes to the existing literature on the ‘excess mortality’ seen in Scotland and GCV compared to England and comparable English cities and on the factors associated with early years’ outcomes. If they are taken at face value, the main findings suggest that key early years’ determinants of adult health were no worse in Scotland and GCV, compared to English areas, in the 1960s and 1970s. Unless the ‘dose response’ (for a population prevalence of behavioural problems, respiratory problems and reading/vocabulary problems) is higher in the Scottish areas, then EYCE seem a less plausible explanation for the poorer health and excess mortality seen relative to England, Greater Manchester and Merseyside.

One contemporary study provides some support for these findings. Dex (2008) used MCS data to explore a limited set of distinctive results for Scottish children born c. 2000/01. Among her findings, she concluded that after adjustment for background variables, risk of problem behaviour and (for one measure) cognitive development, was no different for Scottish children than those living in the rest of the UK [39]. Further confirmation for this is found in a recent survey of the three cities of Glasgow, Manchester and Liverpool, which asked respondents directly about how happy their childhood was and their relationship with their parents. It found little evidence on these measures that Glasgow childhoods were worse compared to the English cities [40]. The findings also reinforce the existing evidence on the combined influence of socio-economic factors, parental health and parenting factors on child outcomes, regardless of geography.

The study has important strengths. It is based on two large, representative samples which have been extensively used by social researchers. While several studies have explored the association between early years’ experiences and childhood health outcomes, few have included geography as an independent explanatory variable in this way and none have tested these outcomes at a city-region level. The study is one of the first to do so. It also confirms the important contribution that the combination of socio-economic status, maternal health and parenting can make to childhood outcomes. Even after controlling for parenting skills, material disadvantage still plays a role in determining early years’ outcomes [41]. On the other hand, poverty, by itself, does not necessarily lead to poor parenting [42, 43].

However, the study also has several limitations. Many of the measures rely on self-report by the parents (usually the mother), with results subject to both intentional (e.g. social desirability) and unintentional (e.g. recall) bias. This could be a particular issue as regards the Rutter scores. The gold standard of validation would be to compare responses to the same set of questions, on the same cohort of children, by parent, teacher and (if possible) child. More subtly, cultural norms could mean that parents from different backgrounds are answering questions in a different way. For example, despite their higher levels of mortality, the proportion of Scottish adults reporting they are in good-health is similar to England [44]. If something similar is also true for the Rutter scores, this could invalidate our assumptions. Lastly, since many of the outcomes and contextual measures were collected around the same point in time, we are unable to identify a causal link – the findings show association only.

The study also sheds little light on whether more extreme aspects of household dysfunction (such as abuse, neglect or parental substance misuse) were more likely to be experienced by children resident in the Scottish areas. It has been argued [28] that this is a plausible hypothesis, given higher levels of male imprisonment and opiate use in Scotland and GCV compared to England, Merseyside and Greater Manchester. The importance of this question was underlined by a recent qualitative study [45] conducted with recent Scottish drug injectors, which noted that many had been exposed to childhood trauma. However, this is difficult to test for directly. The NCDS58 and BCS70 cohort studies lack important measures of adverse childhood experiences, notably emotional neglect, sexual abuse and domestic violence. Parenting measures in these studies are much less comprehensive than those available in later cohorts. For example, the Millennium Cohort Survey uses the Pianta Child–parent Relationship Scale [46] to assess warmth and conflict between parent and child, which is not possible in earlier surveys. There are also some doubts about the comparability of measures of looked after children due to the different care systems that operate between countries. Perhaps most importantly, the high level of correlation between adverse childhood experiences (ACE) and disadvantage suggests that children exposed to these traumas are among the least likely to be included in population surveys and most likely to drop out through attrition.

In this context, one way forward might be to adapt the work by Kelly-Irving et al. [47], who used NCDS58 data to derive an adverse childhood experiences (ACE) variable and included it as a predictor of early mortality. While this approach has some limitations, it could be adopted to extend the present study. Such work could also exploit the longitudinal nature of the cohort studies, to investigate the association between early years’ experiences (including childhood health outcomes) and the determinants and outcomes of adult health in more detail. A second option might be conduct primary research based on the US ACE studies, in all four countries of the United Kingdom.

Conclusions

This study does not support the hypothesis that early years’ experiences in general were worse in Scotland and GCV. Explanations for the excess poor health seen relative to England and comparable English city-regions may therefore lie elsewhere, though this does not exclude the possibility that more extreme aspects of family dysfunction may be at work in Scotland. This study also reinforces the need for a multifaceted approach for policy-makers interested in improving early years’ experiences, including as a means of improving adult health and reducing health inequalities. Regardless of geography, a combination of increasing families’ financial resources, improving parental health, especially maternal mental health, and supporting positive parenting (including ensuring fathers play an active role) remain vital to improving childhood outcomes.

Declarations

Acknowledgements

The authors would like to thank Dr Claudia Geue for advice and comments during the analysis process.

The authors are grateful to the Centre for Longitudinal Studies (CLS), Institute of Education for the use of the NCDS 1958 and BCS70 data and to the Economic and Social Data Service (ESDS) for making them available. However, neither CLS nor ESDS bear any responsibility for the analysis or interpretation of these data.

Authors’ Affiliations

(1)
NHS Health Scotland, Meridian Court
(2)
Glasgow Centre for Population Health
(3)
University of Glasgow
(4)
NHS Ayrshire and Arran Health Board, Afton House

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  48. Pre-publication history

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© Taulbut et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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