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Supplementary Material: Additional tables, figures and analyses Supplementary Table 1: Derivation of the hypothesised moderator variables in both birth cohorts

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Supplementary Material: Additional tables, figures and analyses

Supplementary Table 1: Derivation of the hypothesised moderator variables in both birth cohorts

High SES Low SES

Maternal education during pregnancy a Attainment of O-levels or higher (BCS70)

Attainment of A-levels or higher (ALSPAC)

< O-levels (BCS70)

Attainment of O-Levels or lower (ALSPAC)

Household equalised income when child was age 10 years in BCS70 and age 2-4- years in ALSPAC

Top two income quintiles based

on monthly income Bottom three income quintiles based on monthly income

Parent occupational status during pregnancy - Registrar General’s Social Class classification b

Groups I (professional) and II

(managerial/technical) Groups III NM (skilled non- manual) and IIIM to V (skilled manual, partly skilled and unskilled)

a Maternal education is dichotomised differently in each cohort given the historical context in that in 1970 there were far fewer women who had attained O-levels or A-levels than in 1991.

b For BCS70 the father’s occupation was used (or mother’s if missing) and for ALSPAC the highest occupation of either parent was used.

Time point Variable name

Question Response options

Pregnancy/birth Maternal Education

What educational qualifications do you, your partner, your mother, and your father have? Please tick all that apply.

 Degree or higher

 A-levels or equivalent

 O-levels or equivalent

 <O-levels/no qualifications

 Other

Pregnancy/birth Parental Social Class

(1) Currently employed/unemployed (2) Occupation (3) Description of job (4) Self-employed/not self-employed. For BCS70 the father’s occupation was taken or mother if missing. For ALSPAC, the highest occupation of either the mother or father was taken.

Open text box or interview. 1

Child age 10 years for BCS70. Child between 2 and 4 years for ALSPAC.

Household equivalised income2

On average, about how much is the take home family income each week (include social benefits etc.)?

Quintiles of weekly family income

Supplementary Table 2: Questions used to derive early life SES variables in both cohorts

1 The description of the job included main duties, management responsibilities, what type of company they worked for, how many employees and whether full-time/part time were coded using. Job titles and responsibilities were coded by cohort researchers using Registrar General’s Social Class classification based on occupation for the highest social class of either parent. A four-category measure was derived from the original six categories: I (professional), II (managerial/technical), IIINM (skilled non-manual) and IIIM to V (skilled manual, partly skilled and unskilled).

2 Income obtained was incorporated with housing and council tax benefits and then adjusted for family size and composition.

1

2

3 4

5 6 7 8 9 10

11 12

13 14 15 16 17 18 19

20

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Supplementary Table 3: Individual risk behaviour associations with the young adult degree attainment

BCS70 ALSPAC

Car passenger risk 0.75 (0.60, 0.94) p=0.01 0.63 (0.49, 0.80) p<0.001

Moped risk - 0.56 (0.42, 0.76) p<0.001

Cycle helmet risk - 0.82 (0.63, 1.05) p=0.12 Drug/solvent use 1.19 (.70, 2.02) p=0.52 0.71 (0.40, 1.28) p=0.254 Cannabis use 0.91 (.64, 1.29) p=0.59 0.63 (0.43, 0.93) p=0.02 Tobacco smoking 0.48 (0.40, 0.59) p<0.001 0.42 (0.29, 0.61) p<0.001 Hazardous alcohol

use 0.70 (0.59, 0.84) p<0.001 0.80 (0.63, 1.01) p=0.06 Unprotected sex 0.67 (0.56, 0.82) p<0.001 0.25 (0.08, 0.80) p=0.02 Sex under 16 years - 0.52 (0.38, 0.73) p<0.001

Self-harm - 0.96 (0.73, 1.27) p=0.767

Criminal/Antisocia

l behaviour 0.68 (0.59, 0.78) p<0.001 0.67 (0.53, 0.84) p=0.001

Physical inactivity 0.84 (0.71, 0.99) p=0.04 0.96 (0.73, 1.24) p=0.73

TV viewing - 0.80 (0.61, 1.04) p=0.12

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Supplementary Figure 1: Multiple Imputation of analysis variables (BCS70)

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Covariates: gender and season born (n= 9,001)

3,160 (35.11%) imputed Covariate: IQ age 8 (n=5,841)

Imputation sample (all other variables imputed

up to 9,001)

Covariate: Conduct score age 10 (n=6,007)

Covariate: Key Stage 2 attainment (n=6,533)

)

2,994 (33.26%) imputed

2,468 (27.42%) imputed

Exposure: MRB score (n=2,345)

Tobacco smoking (n=4,802) Illicit drug use (n=4,571)

Cannabis use (n=4,801) Alcohol use (n=4,615) Cycle helmet risk (n=4,801)

Scooter risk (n=4,554) Car risk (n=4,750) Unprotected sex (n=4,813)

Sex before 16 (n=4,773) Self-harm (n=4,808) Criminal/ antisocial behaviour (n=5,024) Physical inactivity (n=4,773)

TV viewing (n=4,638) Outcome: Young adult degree attainment (n=5,188)

3,883 (43.14%) imputed

4,201 (46.67%) imputed 4,430 (49.22%) imputed 4,200 (46.66%) imputed 4,386 (48.73%) imputed 4,200 (46.66%) imputed 4,447 (49.41%) imputed 4,251 (47.23%) imputed 4,188 (46.53%) imputed

4,363 (48.47%) imputed 4,228 (46.97%) imputed 3,997 (44.41%) imputed 4,195 (46.61%) imputed 4,228 (46.97%) imputed Hypothesized moderator

variables (early life SES) (n=9,001)

Complete - 0% imputed

Single risk behaviors imputed

Supplementary Figure 2: Multiple Imputation of analysis variables (ALSPAC)

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Sensitivity analyses using different MRB configuration

We conducted sensitivity analyses to assess the impact of the MRB variables as we had derived them. Firstly, we created an index of the health risk behaviours that were independently associated with the outcome. For BCS70 this was an index of 6 behaviours, with cannabis use and other drug and solvent use omitted. For ALSPAC, this index was of 7 behaviours, with TV viewing, physical inactivity, self-harm drug/solvent use and cycle helmet risk omitted.

Supplementary Table 4: Unadjusted and adjusted associations between young adult SES (degree attainment) and MRB score (complete case and imputed sample) for seven health risk behaviours (0-7) in the ALSPAC cohort and 6 (0-6) in BCS70

a Models in BCS70 were adjusted for sex and conduct score at age 10 and models in ALSPAC were adjusted for sex, IQ score age 8, conduct score at age 10, Key Stage 2 score and season born

b Models adjusted for the confounders and also adjusted for the moderator variables maternal educational status, household equivalised income and parental occupational status.

c OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and thirteen behaviours for ALSPAC.

BCS70 (N=9691) ALSPAC (N=9001)

Unadjusted OR (95% CI) p- value

Adjusted a OR (95% CI) p- value

Adjusted b OR (95% CI) p- value

Unadjusted OR (95% CI) p-value

Adjusted OR a (95% CI) p- value

Adjusted b OR (95% CI) p- value

Outcome

variables Young adult degree attainment in mid-twenties

0.88 (0.84, 0.92) p<0.001

0.83 (0.74, 0.94) p<0.001

0.87 (0.80, 0.96) p<0.001

0.82 (0.78, 0.85) p<0.001

0.84 (0.80, 0.88) p<0.001

0.84 (0.80, 0.89) p<0.001 Occupational

status at age 34 years

0.92 (0.87,

0.96) p<0.001 0.87 (0.80,

0.95) p<0.001 0.88 (0.81, 0.96) p=0.005

- - -

45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67

68 69 70 71 72 73

74

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Supplementary Table 5: Logistic regression of young adult SES (university degree attainment) on MRB score (0-8), stratified by early life SES variables, OR (95% CI) and interaction likelihood ratio test p-values in ALSPAC

Complete case (N=1,360) Imputed sample (N=9,001)

All participants High origin SES Low origin SES P value for moderation c

All participants High origin SES

Low origin SES P value for moderation c Maternal education

SES b

MRB (0-7) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.80 (0.73, 0.87) p<0.001

0.80 (0.71, 0.91) p=0.001

0.80 (0.71, 0.89) p<0.001

0.94 0.84 (0.80, 0.88) p<0.001

0.81 (0.75, 0.87) p<0.001

0.86 (0.80, 0.92) p<0.001

0.25 Parent occupation

SES b

MRB (0-7) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.80 (0.74, 0.87) p<0.001

0.81 (0.73, 0.90) p<0.001

0.78 (0.68, 0.90) p=0.001

0.64 0.83 (0.78, 0.88) p<0.001

0.84 (0.79, 0.89) p<0.001

0.83 (0.76, 0.91) p<0.001

0.94 Household income

SES b

MRB (0-7) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.80 (0.73, 0.87) p<0.001

0.77 (0.68, 0.87) p<0.001

0.83 (0.74, 0.93) p=0.002

0.38 0.83 (0.79, 0.88) p<0.001

0.84 (0.78, 0.90) p<0.001

0.84 (0.78, 0.89) p<0.001

0.97

a Models were adjusted for IQ score age 8, conduct score at age 10, Key Stage 2 score and season born.

b Early life SES variables are binary variables, with high SES as the reference category.

c Likelihood ratio test p-values are presented, with p ≤0.05 taken as evidence of difference between the groups and thus a moderation effect.

OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and thirteen behaviours for ALSPAC. Moderation of the association between adolescent MRB score and young adult SES (university degree attainment) was assessed in both cohorts for each early life SES variable, resulting in six separate models.

75 76 77 78

79 80 81 82 83 84

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Supplementary Table 6: Logistic regression of young adult SES (university degree attainment) on MRB score (0-8), stratified by early life SES variables, OR (95% CI) and interaction likelihood ratio test p-values in BCS70

Complete case (N=1,358) Imputed sample (N=9,691)

All participants High origin SES Low origin SES P value for moderation c

All participants High origin SES

Low origin SES P value for moderation c Maternal education

SES b

MRB (0-6) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.87 (0.80, 0.95) p<0.001

0.92 (0.80, 1.04) p=0.20

0.83 (0.75, 0.94) p=0.003

0.30 0.85 (0.78, 0.93) p<0.001

0.85 (0.78, 0.93) p<0.001

0.76 (0.69, 0.82) p<0.001

0.04 Parent occupation

SES b

MRB (0-6) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.87 (0.80, 0.95) p=0.003

1.06 (0.90, 1.26) p=44

0.80 (0.72, 0.90) p<0.001

0.005 0.89 (0.79, 0.99) p=0.03

0.89 (0.79, 0.99) p=0.03

0.76 (0.71, 0.91) p<0.001

0.02 Household income

SES b

MRB (0-6) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.87 (0.80, 0.96) p=0.003

0.87 (0.77, 0.98) p=0.02

0.87 (0.76, 1.00) p=0.05

0.99 0.85 (0.78, 0.92) p<0.001

0.85 (0.78, 0.92) p<0.001

0.76 (0.70, 0.82) p<0.001

0.06

a Models were adjusted for IQ score age 8, conduct score at age 10, Key Stage 2 score and season born.

b Early life SES variables are binary variables, with high SES as the reference category.

c Likelihood ratio test p-values are presented, with p ≤0.05 taken as evidence of difference between the groups and thus a moderation effect.

OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and thirteen behaviours for ALSPAC. Moderation of the association between adolescent MRB score and young adult SES (university degree attainment) was assessed in both cohorts for each early life SES variable, resulting in six separate models.

87 88 89

90 91 92 93 94 95

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Supplementary Table 7: Differences between the complete case sample and those with incomplete analysis variables

a Participants with incomplete exposure, outcome and covariate data but complete early life socioeconomic data and sex at birth. The complete case sample (1,358) added to those with incomplete analysis variables (8,333) equates to the imputed sample (9,691).

b Participants with incomplete exposure, outcome and covariate data but complete early life socioeconomic data and sex at birth. The complete case sample (1,360) added to those with incomplete analysis variables (7,641) equates to the imputed sample (9,001).

c p-value from unpaired t-test assessing difference between the included and excluded groups.

BCS70 ALSPAC

Complete case sample (n=

1358)

Incomplete analysis variables (n=

8333) a

P value c Complete case sample (n=1360)

Incomplete analysis variables (n=

7641) b

P value c

Male 579 (42.64%) 4432 (53.19%) p<0.001 520 (38.24%) 4087 (53.49%) p<0.001

Free school meal eligibility 104 (7.66%) 1354 (16.42%) p<0.001 49 (3.60%) 691 (9.04%) p<0.001

Achieved 5 or more GCSEs grade A*-C - - - 1169 (85.96%) 3143 (51.33%) p<0.001

Maternal education – high SES 567 (41.45%) 2277 (27.33%) p<0.001 697 (51.25%) 2886 (37.77%) p<0.001 Parent occupation – high SES 338 (24.89%) 1355 (16.26%) p<0.001 908 (66.76%) 4259 (55.74%) p<0.001 Household income – high SES 487 (35.86%) 2457 (29.49%) p<0.001 694 (51.03%) 3092 (40.47%) p<0.001

96

97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126

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Supplementary Figure 3: Complete case sample derivation - BCS 1970

Enrolled cohort (n = 17,196)

Participants from Northern Ireland not followed beyond birth (n=628)

n= 9,691

n=5,154

n=1,409

Complete Case sample (n =1,358)

Missing SES variables: maternal education, parental occupational class

and household equivalised income (n=6,877)

Missing outcome variables: young adult education and occupation at age

34 (n=4,537)

Missing exposure variable: Multiple risk behaviour score (n=3,745) n=16,568

Missing covariate data (sex and conduct score age 10) (n=51) 127

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Supplementary Figure 4: Complete case derivation for ALSPAC

Supplementary Table 8: Descriptive statistics for initial enrolled cohort samples

Enrolled cohort, singletons and twins alive at 1 year

(n = 13952) Missing SES variables: maternal education, parental occupational

class and household equivalised income (n=4951)

n= 9001

n=4425

n=2055

Complete Case sample (n = 1360) Missing outcome variable: young

adult education (n=4576)

Missing exposure variable: Multiple risk behaviour score (n= 2370)

Missing covariate data (IQ age 8, conduct score age 10, Key Stage 2

grade) (n=695)

BSC70 (n=17,196) ALSPAC (n=13,952)

na (%) na (%)

Young Adult SES Degree

attainment (outcome) 8,926 5,276

High SES 2,401 (26.90%) 2,928 (55.50%)

Low SES 6,525 (73.10%) 2,348 (55.50%)

Young Adult SES occupation

status (outcome) 7,416

High SES 3,440 (52.61%) -

Low SES 3,976 (46.39%) -

MRB total (exposure) 8,134 2,656

Mean (SD) 1.40 (1.28) 2.96 (1.98)

Median (IQR) - -

Maternal Education SES

(moderator) 12,179 12,393

High SES 8,662 (71.12%) 4,383 (35.37%)

Low SES 3,517 (28.88%) 8,010 (64.63%)

Household Equivalised

Income (moderator) 11,678 9,918

High SES (higher income brackets)

8,156 (69.84%) 3,989 (40.22%) Low SES (lower income

brackets)

3,522 (30.16%) 5,929 (59.78%)

Parental social class

(moderator) 17,061 11,476

High SES 13,951 (81.77%) 6,318 (55.05%)

Low SES 3,110 (18.23%) 5,158 (44.95%)

Gender 17,185 13,952

Female 8,279 (48.18%) 6,747 (48.36%)

Male 8,906 (51.82%) 7,205 (51.64%)

Season of birth 13,952

Autumn - - 4,683 (33.57%)

Winter - - 1,955 (14.01%)

Spring - - 3,157 (22.63%)

Summer - - 4,157 (29.80%)

Previous educational attainment/ability

IQ at age 8 Mean (SD) - - 7,057 104.14 (16.50)

KS2 educational attainment

Mean (SD) - -

9,752 799.82 (182.39) Conduct problems score (age

10 years) 11,933 7,027

0 9,555 (80.07%) 4,770 (67.88%)

1 1,795 (15.04%) 1,738 (24.73%)

2 583 (4.89%) 519 (7.39%)

144 145 146 147 148 149 150 151 152 153 154 155 156 157 158

159 160 161 162 163 164 165 166

167 168 169 170 171 172 173 174 175 176 177 178 179

180

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182

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a N refers to individuals who answered the questionnaire or clinic questions for each variable and therefore have complete data for that variable. For example, for BSC70, 8,926 participants out of the initially enrolled cohort sample (n=17,196) have university degree attainment data.

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Supplementary Table 9: Associations between adolescent unit increase in MRB score and SES variables (complete case)

aModels in BCS70 were adjusted for sex and conduct score at age 10 and sex, IQ score age 8, conduct score at age 10, Key Stage 2 score and season born for ALSPAC.

b OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and ten behaviours for ALSPAC as ten was the maximum number of behaviours engaged in for the complete case participants.

c Early life SES variables are binary variables, with high SES as the reference category.

BCS70 (N=1358) ALSPAC (N=1360)

Unadjusted OR (95% CI) p-value

Adjusted a OR (95% CI) p-value

Unadjusted OR (95% CI) p-value

Adjusted OR a (95%

CI) p-value Exposure variable

Multiple risk behaviour (0-8 and 0- 10) b

0.87 (0.80, 0.94) p=0.001

0.87 (0.80, 0.95) p=0.002

0.84 (0.79, 0.89) p<0.001

0.85 (0.80, 0.90) p<0.001 Early life SES variables c

Maternal education High SES 1 (REF) 1 (REF) 1 (REF) 1 (REF)

Low SES 0.51 (0.41, 0.64) p=0.002

0.51 (0.41, 0.64) p<0.001

0.38 (0.35, 0.43) p<0.001

0.58 (0.45, 0.74) p<0.001 Parent occupational

status

High SES 1 (REF) 1 (REF) 1 (REF) 1 (REF)

Low SES 0.37 (0.29, 0.48) p<0.001

0.38 (0.29, 0.49) p<0.001

0.50 (0.40, 0.64) p<0.001

0.63 (0.49, 0.80) p<0.001 Household income

High SES 1 (REF) 1 (REF) 1 (REF) 1 (REF)

Low SES 0.56 (0.44, 0.70) p<0.001

0.56 (0.45, 0.71) p<0.001

0.57 (0.46, 0.72) p<0.001

0.74 (0.58, 0.94) p=0.01

228

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254

255

256

257

258

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Supplementary Table 10: Moderation analyses in complete case samples

a Models in BCS70 were adjusted for sex and conduct score at age 10 and sex, IQ score age 8, conduct score at age 10, Key Stage 2 score and season born for ALSPAC.

b Early life SES variables are binary variables, with high SES as the reference category.

c Likelihood ratio test p-values are presented, with p ≤0.05 taken as evidence of difference between the groups and thus a moderation effect.

OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and thirteen behaviours for ALSPAC.

Moderation of the association between adolescent MRB score and young adult SES (university degree attainment) was assessed in both cohorts for each early life SES variable, resulting in six separate models. Results are presented as odds ratios for all participants and for the two SES subgroups. The maximum MRB score in BCS70 complete case is 8 and in ALSPAC complete case is 10.

BCS70 (n=1358) a ALSPAC (n=1360) a

All participants

High origin SES

Low origin SES

P value for moderatio

n c

All participants

High origin SES

Low origin SES

P value for moderatio

n c Maternal

education SES b Unit increase in MRB (0-8) (0-10)

1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.88 (0.80, 0.95) p=0.003

0.92 (0.81, 1.04) p=0.168

0.84 (0.75, 0.95) p=0.005

0.34 0.85 (0.80, 0.91) p<0.001

0.87 (0.79, 0.96) p=0.004

0.84 (0.77, 0.92) p<0.001

0.60

Parent

occupation SES b Unit increase in MRB (0-8) (0-10)

1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.88 (0.81, 0.96) p=0.003

1.05 (0.90, 1.24) p=0.49

0.81 (0.72, 0.90) p<0.001

0.006 0.85 (0.80, 0.91) p<0.001

0.85 (0.79, 0.92) p<0.001

0.85 (0.77, 0.94) p=0.003

0.98

Household income SES b Unit increase in

MRB (0-8) (0-10) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.88 (0.80, 0.95) p=0.002

0.90 (0.78, 1.03) p=0.130

0.86 (0.77, 0.96) p=0.007

0.63 0.85 (0.80, 0.91) p<0.001

0.85 (0.77, 0.93) p<0.001

0.86 (0.78, 0.93) p<0.001

0.92

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Supplementary Table 11: Moderation analyses for occupational status age 34 outcome in BCS70

a Models in BCS70 were adjusted for sex and conduct score at age 10

b Early life SES variables are binary variables with derivation shown in Table 1.

c Likelihood ratio test p-values are presented, with p ≤0.05 taken as evidence of difference between the groups and thus a moderation effect.

OR are presented indicating the odds of the outcome for each incremental single behaviour out of a possible eight behaviours for BCS70 and thirteen behaviours for ALSPAC. Moderation of the association between adolescent MRB score and young adult SES (occupational status at age 34) was assessed in the BCS70 cohorts for each early life variable, resulting in three separate models. Results are presented as odds ratios for all participants and for the two SES subgroups. The exposure variable (MRB) is continuous, with odds ratios indicating the effect of one risk behaviour on the outcome (young adult SES). Likelihood ratio test p-values are presented, with p ≤0.05 taken as evidence of difference between the groups and thus a moderation effect

Complete case BCS70 (n=1358) a Imputed data BCS70 (n=9691) All

participants

High origin SES

Low origin SES

P value for moderation

All participants

High origin SES

Low origin SES

P value for moderation Maternal

education SES b Unit increase in MRB (0-8)

1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.89 (0.82, 0.96) p=0.003

0.91 (0.81, 1.04) p=0.188

0.86 (0.78, 0.96) p=0.007

0.48 0.86 (0.82, 0.90) p<0.001

0.88 (0.81, 0.95) p=0.002

0.85 (0.80, 0.89) p<0.001

0.41

Parent

occupation SES

b

Unit increase in MRB (0-8)

1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.89 (0.82, 0.96) p=0.004

1.03 (0.87, 1.23) p=0.73

0.85 (0.77, 0.93) p<0.001

0.05 0.85 (0.81, 0.89) p<0.001

0.98 (0.87, 1.09) p=0.68

0.82 (0.77, 0.87) p<0.001

0.012

Household income SES b Unit increase in

MRB (0-8) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF) 1 (REF)

0.88 (0.81, 0.96) p=0.003

0.97 (0.84, 1.11) p=0.629

0.84 (0.77, 0.94) p=0.001

0.14 0.85 (0.80, 0.89) p<0.001

0.90 (0.83, 0.97) p=0.007

0.82 (0.77, 0.88) p<0.001

0.12

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The 5 replicate experiments were performed on different dates between March 28 th and April 14 th 2015, on natural colonies collected in the Gulf of Eilat (20 to 30 colonies

Noteworthy, the high values of mtDNA are a by-product of the separation of the samples based on mtDNA haplotypes, and were only calculated to investigate the relationship

Posterior estimates of the Linear Mixed-effect Model on the age of exogeneous feeding (degree days).. Latency of the focal individual to start feeding across the three

Supp Fig 3: Forest plot of COVID-19 severity and association with prescription of ACEI/ARB in people with a previous history of hypertension.. Supp Fig 9: Forest plot of

Unit and total costs after follow-up of eye injuries by age group in Southern Finland.. Mean direct, indirect, and total cost after follow-up of eye injuries by different

Figure S1 – Treatment with 5-AZA does not affect Oli-neu cell viability at a concentration of 1 µM.. Oli-neu cells were treated with different concentrations of 5-AZA for

negative control SBAD2 hiPSC line, M: DIG-labeled DNA Molecular Weight Marker VII (Roche).. 3 Genetic screening and clone-characterization post excision. a) Removal of the