Descriptive characteristics of the PROBIT Cohort.

<p>ChEAT  =  Children's Eating Attitudes Test; PROBIT  =  Promotion of Breastfeeding Intervention Trial; SDQ  =  Strengths and difficulties questionnaire.</p

Association between Teacher Assessed Strengths and Difficulties Questionnnaire (SDQ) and ChEAT scores ≥85^th percentile.

†<p>ORs adjusted for age, sex and cluster (polyclinic site). ^‡ORs adjusted for age, sex, cluster (polyclinic site), treatment arm, child's BMI at age 6.5 years and number of older children in household * (n = x, y, z): x =  total number of children in group, y =  total number of females in group, z =  total number of males in group.</p>§<p>Teacher SDQ associations also adjusted for teacher ID as a cluster variable.</p><p>Teacher SDQ measures have been categorized as “normal”, “borderline” and “abnormal”, according to standardized cut-off points for the SDQ, for the presentation of results, although SDQ score was included as a continuous, standardized variable in mixed-effects logistic regression models.</p

Association between Teacher Assessed Academic Performance and ChEAT scores ≥85^th percentile.

†<p>ORs adjusted for age, sex and cluster (polyclinic site). ^‡ORs adjusted for age, sex, cluster (polyclinic site), treatment arm, child's BMI at age 6.5 years and number of older children in household * (n = x, y, z): x =  total number of children in group, y =  total number of females in group, z =  total number of males in group.</p><p>Academic performance measures have been categorized as “far below grade”, ”somewhat below”, “at grade level”, “somewhat above” and far above grade” for the presentation of results. In addition, academic performance was included as an ordered categorical variable in mixed-effects logistic regression models.</p

Association between each IQ measure and ChEAT scores ≥85^th percentile.

†<p>ORs adjusted for age, sex and cluster (polyclinic site). <i>^‡</i> ORs adjusted for age, sex, cluster (polyclinic site), treatment arm, child's BMI at age 6.5 years and number of older children in household * (n = x, y, z): x =  total number of children in group, y =  total number of females in group, z =  total number of males in group.</p><p>IQ measures have been categorized as “below average” (<90), “average” (90–109) and “above average”(>109), according to Weschler scale IQ classifications, for the presentation of results, although IQ was included as a continuous, standardized variable in mixed-effects logistic regression models.</p

Forest plot of lung cancer risk for each SD increase in BMI (approximately 4.6 kg/m²) observed in the likelihood-based MR approach.

<p>95%CI: 95% Confidence Interval; P: P value. I²: between-strata heterogeneity. PHet: P value of between-strata heterogeneity.</p

Forest plot of lung cancer risk for each SD increase in LDL (approximately 38.0 mg/dl) observed in the likelihood-based MR approach using the instrument set of common SNPs.

<p>95%CI: 95% Confidence Interval; P: P value. I²: between-strata heterogeneity. PHet: P value of between-strata heterogeneity.</p

Number of identified instrumental SNPs for metabolic factors, phenotype distribution in the discovery sample, and proportion of phenotype variance explained by the instruments.

<p>SD: standard deviation.</p

Funnel plots for the distribution of risk estimates of BMI instrumental SNPs along with MR causal effect lung cancer subtypes.

<p>OR: Odds ratio; Int: Intercept; P: P value.</p

Forest plot of lung cancer risk for each SD increase in fasting insulin (approximately 44.4 pmol/L) observed in the likelihood-based MR approach.

<p>95%CI: 95% Confidence Interval; P: P value. I²: between-strata heterogeneity. PHet: P value of between-strata heterogeneity.</p