The Scottish Mental Survey 1932 linked to the Midspan studies: a prospective investigation of childhood intelligence and future health
Introduction
The basis for associations between social position and health status is of considerable research and policy interest. Much social epidemiology has used different socio-economic indicators as though they were interchangeable, and rather few studies have examined associations between different indicators and outcomes in the same database. Only analyses of this latter kind can address the different interpretations of the social patterning of health-related behaviours and disease outcomes that have been advanced. With respect to education and health, observed associations have been attributed to the direct effects of education. Explanations have included the acquisition of knowledge regarding health-damaging behaviours, the ability to optimize use of health services, the development of time preferences favourable to health maintenance, an increasing willingness to invest in human capital, and the promotion of the psychological attributes of high self-esteem and self-efficacy.1., 2., 3. Alternatively, the associations could reflect education indexing socio-economic circumstances in childhood and both indexing and influencing socio-economic circumstances in adulthood. In the case of the health effects of occupational hazards in unskilled manual jobs, these may depend directly on work conditions, and reducing socio-economic differentials consequent on such exposures requires changes to work environments. In the Collaborative study, cigarette smoking was more strongly related to adulthood occupational social class than to age at leaving full-time education.4 This suggested that the social environment in adulthood maintains, or initiates, smoking behaviour. Age at leaving full-time education is, in this formulation, mainly related to smoking behaviour through its determination of occupational level in adulthood. However, age at leaving full-time education may have different associations than intelligence (as measured by standard psychometric tests) to health-related behaviours such as smoking and excessive alcohol use. No studies to our knowledge have been able to examine intelligence and a wide range of lifetime socio-economic measures in relation to health-related behaviours (such as smoking) and their physical concomitants (such as lung function and cholesterol levels).
We now describe how two established research teams have combined with the aim of studying risk factors for specific diseases and mortality. The first team is responsible for the Midspan prospective cohort studies conducted in the west of Scotland on adult men and women in the 1970s. These studies have generated novel findings on the use of social, lifestyle and health factors to predict mortality,4., 5., 6., 7., 8. hospital admissions,9., 10. and specific disease outcomes such as cardiorespiratory illness,11 stroke12 and cancer.13 The participants have been followed-up for mortality and cancer since inception, and have recently been linked with the Scottish morbidity records (SMR) system, enabling data on physical and mental illness to be investigated.
The second team is responsible for follow-up studies of the Scottish mental survey 1932 (SMS1932). The SMS1932 contains mental ability test scores for children born in 1921 and at school in Scotland on 1 June 1932. Follow-up studies of the SMS1932 have so far traced and examined psychosocial factors and health in participants of the SMS1932 in Aberdeen and Lothian. Intelligence quotient (IQ) at 11 years of age proved moderately stable to 77 years of age,14 related to birth weight,15 health status at 77 years of age,16 and lifetime psychiatric contact,17 and was a risk factor for mortality,18 and for senile but not presenile dementia in later life.19
The age ranges of the Midspan studies were such that they included men and women born in 1921. Some of the participants could therefore have mental ability data available from 11 years of age. By collaborating and sharing data, the SMS1932 and Midspan research teams anticipate improved understanding of risk factors for diseases and mortality. This paper describes the process and outcomes of the matching exercise.
Section snippets
The Scottish mental survey 1932
The SMS1932, conducted under the auspices of the Scottish Council for Research in Education (SCRE), sought to quantify the number of people in Scotland who were ‘mentally deficient’. The survey aims were broadened to ‘obtain data about the whole distribution of the intelligence of Scottish pupils from one end of the scale to the other’.20 On 1 June 1932, children born in the calendar year 1921 and attending schools in Scotland were given the same, well-validated mental ability test. A small
Results
Analyses were conducted on the Collaborative and Renfrew/Paisley studies together. Only one record each was included for the two men who were in both of these studies and this was chosen to be their first attendance at a Midspan study, which was the Collaborative study. The total numbers finally matched with an SMS1932 record were 1032 of 1251 people (82.5%). Of those matched, 938 (90.9%) had an MHT score recorded. The mean score was 37.2 (SD=13.9) and the range was from 0 to 69, out of a
Discussion
This paper describes the bringing together of data from two valuable Scottish surveys. Their combined data offers unique opportunities for the study of psychosocial factors in early life and how they contribute to health inequalities in later life. As far as we are aware, no other country collected information about the childhood mental ability differences of almost an entire year-of-birth cohort. These IQ-type data were collected in Scotland in 1932 for children aged 10.5–11.5 years, before
Conclusion
Through the linking of the Midspan studies and the SMS1932 data, we have successfully matched 75% of the 1921 born Midspan participants with their IQ at 11 years of age. The mean MHT scores for boys and girls were similar to those for the whole of Scotland. Addition of the childhood mental ability test data to the rich social and health data available in the Midspan studies will help in producing novel insights concerning relationships between childhood IQ, social factors, and health and
Acknowledgements
We thank the staff of the Scottish Council for Research in Education for making the data from the SMS1932 available to the authors. Victor Hawthorne was responsible for the original Midspan studies. IJD is the recipient of a Royal Society-Wolfson Research Merit Award. LJW is supported by a career development award from the Wellcome Trust. Funding was provided by the Chief Scientist's Office of the Scottish Executive.
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Cited by (31)
After 50 years and 200 papers, what can the Midspan cohort studies tell us about our mortality?
2017, Public HealthCitation Excerpt :In the Collaborative and Renfrew & Paisley cohorts, 1251 participants were born in 1921 and 938 (75%) were matched to their test score. Full details of the test and matching procedures have been reported elsewhere.2 Daily black smoke measurements at 181 monitoring sites were obtained from the UK National Air Quality Archive.
Cognitive sex differences in reasoning tasks: Evidence from Brazilian samples of educational settings
2013, IntelligenceCitation Excerpt :We found a d = 1.38 (21 IQ points) for high versus low SES, and a d = − 1.05 (16 IQ points) for primary school versus university (completed and uncompleted). These results are similar to those estimated by Hart et al. (2003) and Nettle (2003). Thus, we considered the g scores derived from our factor analyses to have practical validity.
Cognition and mortality from the major causes of death: the Health and Lifestyle Survey
2008, Journal of Psychosomatic ResearchCitation Excerpt :The first hypothesis is that cognition might act via education and social class. There is an established association between higher cognitive ability, higher levels of educational attainment, and more affluent social class [13], and all three are related to better health and lower risk of death [14–16]. Secondly, it is hypothesized that the link between relatively low cognitive ability and higher mortality risk may be mediated by the uptake of healthy behaviors such as healthy eating, exercise, not smoking, and consuming only moderate amounts of alcohol [16].
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