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Background: Epidemiological research commonly investigates single exposure-outcome relationships, while childrens experiences across a variety of early lifecourse domains are intersecting. To design realistic interventions, epidemiological research should incorporate information from multiple risk exposure domains to assess effect on health outcomes. In this paper we identify exposures across five pre-hypothesised childhood domains and explored their association to the odds of combined obesity and hypertension in adulthood. Methods: We used data from 17,196 participants in the 1970 British Cohort Study. The outcome was obesity (BMI of over 30) and hypertension (blood pressure>140/90mm Hg or self-reported doctors diagnosis) comorbidity at age 46. Early life domains included: prenatal, antenatal, neonatal and birth, developmental attributes and behaviour, child education and academic ability, socioeconomic factors and parental and family environment. Stepwise backward elimination selected variables for inclusion for each domain. Predicted risk scores of combined obesity and hypertension for each cohort member within each domain were calculated. Logistic regression investigated the association between domain-specific risk scores and odds of obesity-hypertension, controlling for demographic factors and other domains. Results: Adjusting for demographic confounders, all domains were associated with odds of obesity-hypertension. Including all domains in the same model, higher predicted risk values across the five domains remained associated with increased odds of obesity-hypertension comorbidity, with the strongest associations to the parental and family environment domain (OR1.11 95%CI 1.05-1.18) and the socioeconomic factors domain (OR1.11 95%CI 1.05-1.17). Conclusions: Targeted prevention interventions aimed at population groups with shared early-life characteristics could have an impact on obesity-hypertension prevalence which are known risk factors for further morbidity including cardiovascular disease.
Background: Epidemiological research commonly investigates single exposure-outcome relationships, while childrens experiences across a variety of early lifecourse domains are intersecting. To design realistic interventions, epidemiological research should incorporate information from multiple risk exposure domains to assess effect on health outcomes. In this paper we identify exposures across five pre-hypothesised childhood domains and explored their association to the odds of combined obesity and hypertension in adulthood. Methods: We used data from 17,196 participants in the 1970 British Cohort Study. The outcome was obesity (BMI of over 30) and hypertension (blood pressure>140/90mm Hg or self-reported doctors diagnosis) comorbidity at age 46. Early life domains included: prenatal, antenatal, neonatal and birth, developmental attributes and behaviour, child education and academic ability, socioeconomic factors and parental and family environment. Stepwise backward elimination selected variables for inclusion for each domain. Predicted risk scores of combined obesity and hypertension for each cohort member within each domain were calculated. Logistic regression investigated the association between domain-specific risk scores and odds of obesity-hypertension, controlling for demographic factors and other domains. Results: Adjusting for demographic confounders, all domains were associated with odds of obesity-hypertension. Including all domains in the same model, higher predicted risk values across the five domains remained associated with increased odds of obesity-hypertension comorbidity, with the strongest associations to the parental and family environment domain (OR1.11 95%CI 1.05-1.18) and the socioeconomic factors domain (OR1.11 95%CI 1.05-1.17). Conclusions: Targeted prevention interventions aimed at population groups with shared early-life characteristics could have an impact on obesity-hypertension prevalence which are known risk factors for further morbidity including cardiovascular disease.
Background: Interactions with secondary care, including multiple outpatient appointments and hospital admissions, represents a common and often burdensome aspect of healthcare utilisation for people living with multiple long-term conditions. Lifecourse factors such as education and academic ability may play a role in shaping the risk of healthcare utilisation later in adulthood. We explored the association between education and academic ability in childhood and both outpatient appointments and hospital admissions in adulthood, accounting for the mediating role of adult factors, including long-term conditions. Method: The analytical sample consisted of 7183 participants in the Aberdeen Children of the 1950s. Three outcomes were measured using routine healthcare records (SMR00/SMR001/SMR004) over a five-year period (2004-2008) using the "burden" cut-offs of: (1) 5 or more outpatient appointments, (2) 2 or more hospital admissions, or (3) 3 or more outpatient appointments plus 1 or more hospital admission. We constructed a childhood (age 6-11) education and academic ability domain and calculated predicted risk scores of the three outcomes for each cohort member. Nested logistic regression models investigate the association between domain predicted risk scores and odds of each of the three outcomes accounting for childhood confounders (maternal age, Rutter behaviour, physical grade at birth, birthweight, sex mothers pre-marital occupation, and fathers social class) and self-reported adult mediators, including body mass index, smoking, employment status, housing tenure, having long-term conditions, and age left school. Result: Adjusting for childhood confounders, lower childhood education and academic ability was associated with 5 or more outpatient appointments (OR1.03 95%CI 1.01-1.05), 2 or more hospital admissions (OR1.04 95%CI 1.03-1.6) and combined 3 or more outpatient appointments plus 1 or more hospital admissions (OR1.04 95%CI 1.02-1.06). Accounting for adult mediators (including long-term conditions), associations remained statistically significant, but their effect sizes were slightly reduced. When age left school was included in the final model, the association between the exposure and the combined outpatient appointments and hospital admissions (OR1.02 95%CI 1.00-1.04), 2 or more hospital admissions (OR1.02 95%CI 0.99-1.05) and 5 or more outpatient appointments (OR1.01 95%CI 0.99-1.03) were attenuated. Conclusions: Education and academic ability in early life may be related to the burden of multiple hospital admissions and outpatient appointments later in life. This relationship was not fully explained by accounting for multiple long-term conditions and other potential mediating factors in adulthood. However, the age at which the participant left school seems to substantially mediate this relationship underscoring the positive impact of time spent in formal education on health during the lifecourse.
Background: Early life exposures can increase the risk of both obesity and hypertension in adulthood. In this paper we identify exposures across five pre-hypothesised childhood domains, explore them as predictors of obesity and hypertension comorbidity using the 1958 National Child Development Study (NCDS), and discuss these results in comparison to a similar approach using another birth cohort (the 1970 British Cohort Study (BCS70)). Methods: The analytical sample included 9150 participants. The outcome was obesity (BMI of 30 or over) and hypertension (blood pressure>140/90mm Hg) comorbidity at age 44. Domains included: prenatal, antenatal, neonatal and birth, developmental attributes and behaviour, child education and academic ability, socioeconomic factors and parental and family environment. Stepwise backward elimination selected variables for inclusion for each domain, and predicted risk scores of obesity-hypertension for each cohort member within each domain were calculated. We performed multivariable logistic regression analysis including domain-specific risk scores, sex and ethnicity to assess how well the outcome could be predicted taking all domains into account. In additional analysis we included potential adult factors. Results: Including all domain-specific risk scores, sex, and ethnicity in the same prediction model the area under the curve was 0.70 (95%CI 0.67-0.72). The strongest domain predictor for obesity-hypertension comorbidity was for the socioeconomic factors domain (OR 1.28 95%CI 1.18-1.38), similar to the BCS70 results. However, the parental and family environment domain was not a significant predictor for obesity-hypertension comorbidity (OR 1.08 95%CI 0.94-1.24) unlike the BCS70 results. After considering adult predictors, robust associations remained to the socioeconomic, education and academic abilities, development and behaviour, and prenatal, antenatal, neonatal and birth domains. Conclusions: In the NCDS some early life course domains were found to be significant predictors of obesity-hypertension comorbidity, supporting previous findings. Shared early-life characteristics could have a role in predicting obesity-hypertension comorbidity, particularly for those who faced socioeconomic disadvantage.
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