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The interplays of gender and cohort with childhood antecedents of adult outcomes.

The interplays of gender and cohort with childhood antecedents of adult outcomes. John Hobcraft. Research Questions. Are there differences by gender in adult outcomes? And by cohort? Are pathways through childhood antecedents moderated by gender or cohort?

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The interplays of gender and cohort with childhood antecedents of adult outcomes.

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  1. The interplays of gender and cohort with childhood antecedents of adult outcomes. John Hobcraft

  2. Research Questions • Are there differences by gender in adult outcomes? • And by cohort? • Are pathways through childhood antecedents moderated by gender or cohort? • Commonalities or differences in response to disadvantage by gender? • Continuity or change in response by cohort? • Do gender differentials change over time?

  3. Data • Data: Two British Cohort Studies • National Child Development Study (NCDS) • British Cohort Study (BCS)

  4. Outcomes considered • NCDS only – 18 outcomes • 6 ‘intermediate’ experiences 16-23 • 6 each at ages 23 and 33 • NCDS & BCS70 • 4 socioeconomic status at 33/30 • 4 health & well-being at 33/30 • Becoming a parent by age 30

  5. Childhood antecedents

  6. Some examples (%)

  7. Measurement and Method • Majority of childhood indicators are summarised across multiple childhood waves • Hierarchical coding of dummies within groups • Step-wise Logistic Regression • repeat backward and forward fitting • strict significance threshold of p<0.001 (or 0.005) • Necessary to reduce clutter (up to 600 dummies!)

  8. Measurement and Method • Common antecedents • Same response • but different childhood experiences? • Evidence of cohort or gender (or both) differentials • ‘Black-box’ main effects of cohort or gender, not captured by measured childhood antecedents • Differential responses to same antecedent • Additional antecedents

  9. Results • Long reach of childhood • Contrast common or stable pathways through child antecedents with those showing gender or cohort differences • Very little detail • Mainly summary counts, with a few illustrative results

  10. Outcomes NCDS only • 16-23 • No qualification, unemployed 12+m, NEET 24+m, early birth, extra-marital birth, left home friction • 23 and 33 • Social housing, benefit receipt, low income, low social class, high malaise, and cigarette smoking

  11. Results Summary – NCDS (18)

  12. Some details

  13. Health & Well-being at 30/33 • Life dissatisfaction (0-10, score <7) • High malaise score (0-24, score >6) • General health fair or poor • Long term health condition

  14. Results Summary - HWB

  15. HWB ‘factlets’ • Pervasive common child health terms • School absence due to ill health (2 levels) • Disabling health condition (2 levels) • Pervasive common other terms • Housing tenure (2 levels) • Family disruption • Parental interest in schooling • Behaviour scores (2 levels) • Educational test scores (3 levels)

  16. Differential socioeconomic influences † % of combined cohort populations ‡ Odds ratios adjusted for gender, cohort and all other significant childhood antecedents

  17. SES at age 30 or 33 • Lives in Social Housing • Receives non-universal benefits • Low household income (low quartile) • Semi- or unskilled occupation (SC IV or V)

  18. Results Summary - SES

  19. SES ‘factlets’ • Pervasive common terms • Any child poverty • Any local authority housing • Either parent little or no interest • Any indication of aggression • Any high restlessness score • All 4 dummies on test scores

  20. Cohort Interactions • Any LA housing (1.34) with Social Housing • greater selectivity for BCS70 – residualisation • <2 Owner-occupier (1.42) and Parents not both very interested (1.31) for Benefits • Cohort effects for benefits thus mediated through childhood antecedents – • ? Greater impact/ responsiveness – or perhaps pulling out advantaged group?

  21. Gender interactions • SC Origin <2 NM (1.51) to social housing • Being female (1.75) and Family disruption (1.31) to Benefits • ( Partnership breakdown /lone mother route?) • SC origin <2 NM (1.81) , plus cohort-gender (0.53) to low social class (class begets class)

  22. Age-Groups 16-19 20-22 23-24 25-29 Partnership Contexts Never partnered Out of partnership Cohabiting Married ex-cohabiting Direct marriage Becoming a Parent Timing and Contexts

  23. Cohort changes in exposure and birth context

  24. Parenthood

  25. Gender & Cohort terms • GENDER – Excess female risks • 16-24: any ASB (1.13), • <2 High quartile tests (1.33) • 16-22: Parents ages missing (1.40) • 16-19: Very ASB (2.47) • Not in partnership: • Strong SES deprivation (1.43) • COHORT – excess 1970 cohort risks • Never partnered: • Social housing (1.81)

  26. Conclusions -1 • Many childhood antecedents matter for adult outcomes • Strong gender and cohort differences for most adult outcomes • Few examples of gender or cohort differences in strength of association with childhood antecedents • Or of specific childhood pathways only operating for one gender or one cohort

  27. Conclusions - 2 • Powerful commonalities by gender and continuities over time in the ‘legacies’ of childhood disadvantage • Some, but few, indications of gender differences and of change in response to child disadvantage • Unmeasured sources of difference and change? • Genes • other child experiences • Post-child experiences • contexts and structures (e.g. gender structures or partnership contexts)

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