DiabetesSmokingPregnancyCohort2016.pdf

    Early Life Exposures

    Parental smoking during pregnancy and the risk

    of gestational diabetes in the daughter

    Wei Bao,1,2 Karin B Michels,3,4,5 Deirdre K Tobias,6,7 Shanshan Li,1

    Jorge E Chavarro,3,4,7 Audrey J Gaskins,7 Allan A Vaag,8

    Frank B Hu3,4,7 and Cuilin Zhang1*

    1Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child

    Health and Human Development, Rockville, MD, USA, 2Department of Epidemiology, University of Iowa

    College of Public Health, Iowa City, IA, USA, 3Department of Epidemiology, Harvard T.H. Chan School of

    Public Health, Boston, MA, USA, 4Channing Division of Network Medicine, 5Department of Obstetrics,

    Gynecology and Reproductive Biology, 6Division of Preventive Medicine, Brigham and Women’s

    Hospital and Harvard Medical School, Boston, MA, USA, 7Department of Nutrition, Harvard T.H. Chan

    School of Public Health, Boston, MA, USA and 8Department of Endocrinology, Rigshospitalet,

    Copenhagen, Denmark

    *Corresponding author. Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy

    Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6100 Executive Blvd,

    Rockville, MD 20852, USA. E-mail: [email protected]

    The abstract of this study was included in poster presentation at the American Heart Association’s EPI/Lifestyle2015

    Scientific Sessions (March 3–6, 2015, Baltimore, MD).

    Accepted 19 November 2015

    Abstract

    Background: Fetal exposure to parental smoking may have long-term impact on the de-

    velopment of disease in adulthood. We examined the association of parental smoking

    during pregnancy with risk of gestational diabetes mellitus (GDM) in the daughter.

    Methods: We included 15 665 singleton pregnancies from 10 152 women in the Nurses’

    Health Study II cohort whose mothers participated in the Nurses’ Mothers’ Cohort Study.

    Data on maternal and paternal smoking during pregnancy and associated covariates

    were recalled by the mothers. GDM diagnosis was self-reported by the daughters

    and was validated by medical record review in a previous study. We used log-binomial

    models with generalized estimating equations to estimate relative risks (RRs) and 95%

    confidence intervals (CIs).

    Results: We observed a positive association between maternal heavy smoking during

    pregnancy and risk of GDM in the daughter. The multivariable-adjusted RRs (95% CIs) of

    GDM among women whose mothers did not smoke during pregnancy, continued smoking

    1–14, 15–24, and�25 cigarettes/day were 1.00 (reference), 1.05 (0.81–1.35), 1.27 (0.95–1.70)and 1.98 (1.18–3.30), respectively (P for trend¼0.01). Further adjustment for the women’sperinatal variables, adult-life characteristics and body mass index during various periods

    of life modestly attenuated the association. No association was observed between pater-

    nal smoking during the pregnancy period and risk of GDM in the daughter.

    Published by Oxford University Press on behalf of International Epidemiological Association 2016.

    This work is written by US Government employees and is in the public domain in the US. 160

    International Journal of Epidemiology, 2016, 160–169

    doi: 10.1093/ije/dyv334

    Advance Access Publication Date: 9 January 2016

    Original article

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    Conclusions: Maternal heavy smoking (�25 cigarettes/day) during pregnancy was associ-ated with higher risk of gestational diabetes in the daughter. Further studies are warranted

    to confirm our findings and to elucidate the underlying mechanisms.

    Key words: Gestational diabetes mellitus, maternal smoking during pregnancy

    Introduction

    The developmental origins of health and disease hypothesis,

    or ‘Barker hypothesis’,1 continues to fuel research interest in

    examining the health consequences of in utero exposures.

    Maternal smoking during pregnancy represents a common

    deleterious fetal exposure in many populations.2–4 The

    short-term effects of maternal smoking during pregnancy on

    multiple adverse pregnancy and perinatal outcomes, includ-

    ing fetal growth restriction and low birthweight, have long

    been recognized and established.5 Maternal smoking during

    pregnancy has also been associated with an increased risk of

    obesity during childhood and adulthood in some, although

    not all, studies.6–10 There is limited evidence regarding the

    long-term impact of fetal exposure to maternal smoking on

    the risk of chronic disease in adulthood, which emerges as a

    new focus of research interests.11

    Gestational diabetes mellitus (GDM) is a common preg-

    nancy complication characterized by glucose intolerance,

    with onset or first recognition during pregnancy.12 GDM is

    not only associated with short-term adverse perinatal out-

    comes,13 but also related to long-term metabolic risk in both

    mothers and their children.12,14,15 Thus, it is crucial to iden-

    tify modifiable risk factors that may contribute to the preven-

    tion of GDM in current and subsequent generations.

    Animal studies have suggested that fetal exposure to maternal

    smoking may lead to impaired glucose metabolism by alter-

    ing pancreatic islet development and inducing beta cell apop-

    tosis.16,17 In addition, epidemiological studies, although still

    limited, suggest that maternal smoking during pregnancy

    may increase the risk of diabetes in adulthood.18,19 However

    the association, in particular the dose-response relation, be-

    tween fetal exposure to maternal smoking and risk of GDM

    is not well established. Moreover, no previous study has

    examined the association between fetal exposure to paternal

    smoking, a major source of maternal passive smoking, and

    subsequent risk of GDM. In this study, we aimed to examine

    the dose-response relation of maternal and/or paternal smok-

    ing during pregnancy with risk of GDM in the daughter.

    Methods

    Study population

    The Nurses’ Health Study II (NHSII) is an ongoing prospect-

    ive cohort study of 116 430 female nurses aged 24–44 years

    at study inception in 1989. The participants receive a biennial

    questionnaire regarding lifestyle behaviours, anthropometric

    variables and disease outcomes. In 2001, mothers of the

    NHSII participants were invited to complete a questionnaire

    regarding their nurse daughter. Details about the Nurses’

    Mothers’ Cohort Study have been described elsewhere.20 We

    included NHSII participants in the current analyses if they re-

    ported at least one singleton pregnancy lasting greater than 6

    months between 1989 and 2001 and their mothers partici-

    pated in the Nurses’ Mothers’ Cohort Study and reported

    data on pregnancy and perinatal variables associated with

    the nurse daughter. The NHSII participants were excluded if

    they had been adopted, were missing information on mater-

    nal smoking or had type 2 diabetes reported in 1989 or be-

    fore GDM. Figure 1 depicts the flowchart of study

    participants. This study has been approved by the Partners

    Human Research Committee (Boston, MA), with partici-

    pants’ consent implied by the return of the completed

    questionnaires.

    Assessment of parental smoking

    We used information on parental smoking during pregnancy

    from the 2001 Nurses’ Mothers’ Cohort Study question-

    naire.21 The mothers reported whether they ever smoked

    cigarettes during pregnancy with the nurse daughter, the

    number of cigarettes (i.e. 1–14, 15–24, 25–34 or� 35) they

    Key Messages

    • This study examined the association of parental smoking during pregnancy with risk of gestational diabetes in the

    daughter among 15 665 singleton pregnancies from 10 152 women in the Nurses’ Health Study II cohort whose moth-

    ers participated in the Nurses’ Mothers’ Cohort Study.

    • We demonstrated that maternal heavy smoking (�25 cigarettes/day) during pregnancy was associated with higherrisk of gestational diabetes in the daughter. We did not observe an association between paternal smoking during

    pregnancy and risk of gestational diabetes in the daughter.

    International Journal of Epidemiology, 2016, Vol. 45, No. 1 161

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    smoked daily during pregnancy, whether they quit smoking

    during pregnancy, and if so, in which trimester. In a separ-

    ate validation study, the validity of recalled maternal smok-

    ing during pregnancy was found to be high in the National

    Collaborative Perinatal Project (sensitivity¼0.86, specifi-city¼0.94).22 We categorized maternal smoking as: neversmoked; quit smoking in first trimester of pregnancy; con-

    tinued smoking 1–14 cigarettes/day during pregnancy; con-

    tinued smoking 15–24 cigarettes/day during pregnancy; and

    continued smoking 25 or more cigarettes/day during preg-

    nancy. We also asked the mothers whether the nurse’s father

    ever smoked during pregnancy and the number of cigarettes

    he smoked. We categorized paternal smoking as: never

    smoked; smoked 1–14 cigarettes/day during pregnancy;

    smoked 15–24 cigarettes/day during pregnancy; and

    smoked 25 or more cigarettes/day during pregnancy.

    Previous studies based on the same cohort as the current

    analysis have found maternal smoking during pregnancy be

    associated with an increased risk of overweight and obesity

    in the daughter across adolescence and adult life.7

    Ascertainment of gestational diabetes

    The NHSII participants (i.e. the daughters) reported preva-

    lent GDM in 1989 and incident GDM on each biennial

    questionnaire through 2001. GDM was not ascertained

    after the 2001 questionnaire in the NHSII cohort, because

    the majority of NHSII participants had passed reproduct-

    ive age by then. In a previous validation study among a

    subgroup of the NHSII cohort, 94% of GDM self-reports

    were confirmed by medical records.23 In a random sample

    of parous women without GDM, 83% reported a glucose

    screening test during pregnancy and 100% reported fre-

    quent prenatal urine screenings, suggesting a high level of

    GDM surveillance in this cohort.23

    Covariates assessment

    Covariates for maternal, paternal and perinatal characteris-

    tics were obtained from the Nurses’ Mothers’ Cohort Study.

    The 2001 Nurses’ Mothers’ Cohort Study questionnaire re-

    quested data on the daughter’s gestational age at birth, birth-

    weight and breastfeeding status, maternal and paternal age

    at birth of the daughter, educational level, occupation and

    home ownership at the time of the daughter’s birth, maternal

    height, maternal pre-pregnancy weight, weight gain during

    pregnancy (< 10, 10–14, 15–19, 20–29, 30–40, > 40

    pounds; to convert pounds into kilograms, multiply pounds

    by the conversion factor 0.453592.), paternal weight, pater-

    nal height, maternal consumption of alcoholic beverages dur-

    ing pregnancy, and the occurrence of maternal pregnancy

    Nurses’ Health Study II cohort (n = 116 430)

    Inclusion criteria: pregnancy ≥ 6 months 1989-2001 (NHSII)

    (n = 10 862)

    Exclusion criteria:• Nurses were adopted (NMS): n = 34• Missing data on parental smoking (NMS): n = 643• T2DM at baseline or before GDM (NHSII): n = 6• Missing main questionnaire (NHSII): n = 33• Missing data on the daughters’ smoking status

    (NHSII): n = 76

    Analytical population(n = 10 152)

    Mothers participated in the Nurses’ Mothers’ Cohort Study

    (n = 35 794)

    Figure 1. The flowchart of study participants. Exclusion criteria are not mutually exclusive and individual reasons may not total the number of

    excluded participants. GDM denotes gestational diabetes mellitus; NHSII, Nurses’ Health Study II; NMS, Nurses’ Mothers’ Cohort Study; T2DM, type

    2 diabetes mellitus.

    162 International Journal of Epidemiology, 2016, Vol. 45, No. 1

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    complications (gestational diabetes and preeclampsia) during

    the pregnancy of the daughter.

    Covariates related to the daughters’ characteristics were

    obtained from the NHSII questionnaires. The 1989 NHSII

    questionnaire assessed the daughters’ age, height, race/ethni-

    city and family history of diabetes at baseline. The daugh-

    ters’ weight at 18 years old and current weight, parity, and

    smoking status (including the number of cigarettes per day)

    were self-reported from the 1989 NHSII questionnaire and

    were updated with data from each biennial questionnaire

    cycle. Self-reported weight was highly correlated with meas-

    ured weight (r¼0.97) in a previous validation study.24

    Body mass index (BMI) was computed as weight in kilo-

    grams divided by height in metres squared. Dietary intake

    was collected every 4 years since 1991 using a previously

    validated semi-quantitative food frequency question-

    naire.25–27 To assess the overall diet quality of the partici-

    pants, we derived a diet score, the Alternate Healthy Eating

    Index 2010 (AHEI-2010) for each participant, as previously

    described.28 The overall AHEI-2010 ranged from 0 to 110

    points, with a higher score indicating a better diet quality.

    Physical activity was ascertained in 1989, 1991, 1997 and

    2001 by frequency of engaging in common recreational

    activities, from which metabolic equivalent (MET)-hours

    per week were derived. The questionnaire-based estimates

    of total physical activity correlated well with detailed activ-

    ity diaries in a previous validation study (r¼0.56).29

    Cumulative average of physical activity, total energy intake

    and AHEI-2010 score were calculated for each individual at

    each time period throughout the follow up, to reduce

    within-subject variation and represent long-term habitual

    diet and physical activity.30

    Statistical analysis

    We used log-binomial models with generalized estimating

    equations to estimate the relative risks (RRs) and 95% confi-

    dence intervals (CIs) of GDM for maternal and paternal

    smoking, separately and jointly. Generalized estimating equa-

    tions allowed us to account for correlations among repeated

    observations (pregnancies) contributed by a single participant

    (i.e. the nurse daughter). In the multivariable regression mod-

    els, we adjusted for: age and race/ethnicity of the daughters

    (Model 1); and additionally for maternal and paternal vari-

    ables including maternal and paternal age at time of daugh-

    ter’s birth, maternal pre-pregnancy BMI, paternal BMI,

    maternal weight gain during pregnancy, maternal pregnancy

    complications (gestational diabetes, preeclampsia) and mater-

    nal alcohol consumption during pregnancy (Model 2); for the

    daughters’ perinatal variables including gestational age at

    birth, birthweight, and breastfeeding status (Model 3); for

    the daughters’ adult life variables including parity, family

    history of diabetes, cigarette smoking, total energy intake,

    overall diet quality (i.e. Alternate Healthy Eating Index) and

    physical activity (Model 4); for the daughters’ BMI at 18

    years old (Model 5); and for the daughters’ pre-pregnancy

    BMI (Model 6). We mutually adjusted for maternal and pa-

    ternal smoking during pregnancy in all these models. Wald

    tests were used to assess the differences between maternal

    and paternal associations. The daughters’ BMI and other

    adult life covariates were updated during the follow-up.

    When categorizing each categorical covariate, we created a

    category for missing data. We considered Model 3–Model 6

    as sensitivity analyses, because the daughter’s perinatal vari-

    ables, adult-life variables and adulthood BMI in these models

    are potential intermediates or explanatory variables for the

    associations of maternal and paternal smoking during preg-

    nancy with the risk of GDM. Tests for linear trend were per-

    formed across the categories of the number of cigarettes

    smoked for mothers who continued to smoke throughout

    pregnancy, with non-smoking during pregnancy as the refer-

    ence group (for maternal smoking, the test for trend excluded

    the category of mothers who quit smoking during preg-

    nancy). Statistical analyses were performed using the SAS

    statistical software version 9.2 (SAS Institute Inc., Cary, NC)

    and the Stata statistical software version 14.0 (StataCorp LP,

    College Station, TX).

    Results

    We included 15 665 singleton pregnancies from 10 152

    women in the Nurses’ Health Study II cohort whose mothers

    participated in the Nurses’ Mothers’ Cohort Study. Of them,

    736 GDM pregnancies were documented. Characteristics of

    mothers, fathers and daughters are shown in Table 1 accord-

    ing to maternal smoking status during pregnancy. Mothers

    who smoked more frequently during pregnancy were more

    likely to consume alcoholic beverages during the pregnancy.

    The biological fathers of the daughters whose mothers

    smoked during pregnancy were also more likely to smoke

    during the pregnancy. Women who were exposed to frequent

    maternal smoking during pregnancy had a lower birthweight,

    were less likely to be breastfed and were heavier and more

    likely to smoke in adulthood.

    We observed a dose-response relation between in utero

    exposure to maternal smoking and risk of GDM (Table 2).

    After adjustment for the daughter’s age, race/ethnicity and

    maternal and paternal variables, the RRs (95% CIs) of GDM

    among women whose mothers did not smoke during preg-

    nancy or continued smoking 1–14, 15–24 or � 25 cigarettes/day were 1.00 (reference), 1.05 (0.81–1.35), 1.27

    (0.95–1.70) and 1.98 (1.18–3.30), respectively (P for

    trend¼0.02). Further adjustment for the daughter’s perinatalvariables and adult life variables, including pre-pregnancy

    International Journal of Epidemiology, 2016, Vol. 45, No. 1 163

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    BMI, only slightly changed the association. No association

    was observed between paternal smoking during pregnancy

    and the risk of GDM (Table 3). Wald tests showed suggestive

    statistical evidence that the maternal smoking associations

    may differ from the paternal smoking associations with

    GDM risk (P¼0.10). We further examined the joint effect ofboth maternal and paternal smoking during pregnancy on

    the risk of GDM. Women whose mother or both parents

    smoked during pregnancy � 15 cigarettes/day had a higherrisk of GDM (RR 1.43, 95% CI 1.11–1.85), compared with

    women whose parents did not smoke during pregnancy or

    smoked < 15 cigarettes/day (Supplementary Figure 1, avail-

    able as Supplementary data at IJE online).

    In an analysis on the joint effect of maternal smoking

    during pregnancy and the participants’ smoking during

    adulthood, we found that the women who smoked < 15

    cigarettes/day and whose mothers smoked � 15 cigarettes/day during pregnancy had an RR (95% CI) of 1.28 (1.00–

    1.64) for GDM, compared with neither the mothers nor

    the participants smoking � 15 cigarettes/day (Figure 2).We also performed a stratified analysis according to the

    daughters’ own smoking status. Among the daughters who

    never smoked, the adjusted RRs (95% CIs) of GDM were

    1.30 (0.79–2.13), 0.94 (0.67–1.32), 1.13 (0.77–1.65) and

    2.15 (1.19–3.88) for the daughters whose mothers smoked

    but quit smoking in the first trimester, continued smoking

    Table 1. Age-standardized maternal, paternal, and the daughter’s characteristics by maternal smoking status during pregnancya

    Maternal cigarette smoking during pregnancy

    Non-smoker Quit smoking in

    the first trimester

    Continued smoking

    1–14 cigarettes/day

    Continued

    smoking 15–24

    cigarettes/day

    Continued smoking

    �25 cigarettes/day

    Number of participants 7478 373 1369 793 139

    Maternal characteristics

    Age at daughter’s birth (years) 26.68 (4.83) 25.33 (4.34) 26.39 (4.75) 26.23 (4.66) 26.90 (4.65)

    Prepregnancy BMI (kg/m2) 21.41 (2.60) 21.00 (2.26) 20.88 (2.46) 21.09 (2.70) 21.24 (2.61)

    Attended college (%) 40.21 47.11 43.04 40.89 46.57

    Ever consumed alcoholic beverages

    during pregnancy (%)

    25.03 44.82 60.43 63.59 63.68

    Pregnancy complicationsb (%) 4.03 4.26 3.90 3.84 3.44

    Paternal characteristics

    Age at daughter’s birth (years) 28.70 (4.78) 27.85 (4.68) 28.59 (4.67) 28.57 (4.64) 29.63 (4.52)

    BMI at daughter’s birth (kg/m2) 23.80 (2.81) 23.86 (3.08) 23.78 (2.80) 23.72 (2.83) 23.40 (2.75)

    Attended college (%) 45.90 54.68 51.51 48.45 57.90

    Ever smoked during pregnancy (%) 44.61 71.72 73.86 78.26 74.26

    Characteristics of the daughter in early life

    Gestational age at birth (weeks) 39.42 (2.26) 39.55 (2.32) 39.32 (2.40) 39.12 (2.54) 39.25 (2.54)

    Birthweight (g) 3358.28 (493.41) 3291.89 (491.44) 3176.63 (498.50) 3070.21 (514.39) 3056.42 (523.58)

    Caucasian (%) 95.05 95.42 96.03 95.84 95.86

    Breastfed during infancy (%) 43.46 47.81 32.07 34.65 23.07

    Characteristics of the daughter

    during adulthoodc

    Age in 1989 (years) 30.62 (3.42) 30.57 (3.27) 30.85 (3.42) 30.33 (3.31) 30.40 (3.29)

    BMI (kg/m2) 22.81 (3.93) 23.01 (4.01) 22.87 (3.64) 23.32 (4.13) 23.64 (4.66)

    Nulliparous (%) 7.68 7.50 6.02 8.21 5.81

    Family history of diabetes (%) 10.08 8.51 8.60 7.55 7.88

    Current smoking (%) 6.54 11.06 10.86 11.36 10.95

    Alcohol intake (g/day) 2.55 (4.67) 3.15 (4.79) 3.42 (5.74) 3.30 (5.66) 3.33 (6.12)

    Physical activity (MET-h/week) 25.88 (36.49) 26.26 (38.56) 27.59 (37.17) 28.19 (44.22) 28.31 (34.78)

    Total energy intake (kcal/day) 1882.42 (545.50) 1837.95 (522.48) 1871.40 (549.03) 1850.16 (540.46) 1873.85 (559.33)

    AHEI-2010d 47.42 (10.67) 48.72 (10.70) 48.38 (11.09) 48.08 (10.56) 47.85 (10.75)

    AHEI-2010 indicates Alternate Healthy Eating Index 2010; BMI, body mass index; MET, metabolic equivalent.aValues are means (standard deviations) for continuous variables and percentages for categorical variables and are standardized to age distribution of the

    NHSII participants (i.e. the daughters).bMaternal pregnancy complications included gestational diabetes and preeclampsia.cAdulthood characteristics are provided for 1989, except diet information (i.e. total energy intake, alcohol intake and the derived alternate healthy eating

    index) which was first collected in the Nurses’ Health Study II cohort in 1991.dAHEI-2010 was derived for each participant, as previously describe,28 to assess the overall diet quality of the participants.

    164 International Journal of Epidemiology, 2016, Vol. 45, No. 1

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    Tab

    le2.M

    ate

    rna

    lcig

    are

    tte

    sm

    okin

    gd

    uri

    ng

    pre

    gn

    an

    cy

    an

    dth

    eri

    sk

    of

    ge

    sta

    tio

    na

    ld

    iab

    ete

    sin

    the

    da

    ug

    hte

    r

    Mate

    rnalcig

    are

    tte

    smokin

    gduri

    ng

    pre

    gnancy

    Pfo

    rtr

    end

    d

    Non-s

    mokerQ

    uit

    smokin

    gin

    the

    firs

    ttr

    imest

    erC

    onti

    nued

    smokin

    g

    1–14

    cig

    are

    ttes/

    day

    Conti

    nued

    smokin

    g

    15–24

    cig

    are

    ttes/

    day

    Conti

    nued

    smokin

    g

    ‡25

    cig

    are

    ttes/

    day

    GD

    Mca

    ses/

    pre

    gnanci

    es522/1

    1525

    33/5

    59

    95/2

    122

    68/1

    238

    18/2

    21

    Model

    1:A

    dju

    sted

    for

    the

    daughte

    r’s

    age

    and

    race

    /eth

    nic

    ity

    1.0

    01.2

    6(0

    .84–1.8

    7)1.0

    0(0

    .79–1.2

    8)

    1.2

    2(0

    .92–1.6

    2)

    1.8

    6(1

    .12–3.0

    9)

    0.0

    2

    Model

    2:M

    odel

    addit

    ionally

    adju

    sted

    for

    mate

    rnaland

    pate

    rnalvari

    able

    sa1.0

    01.2

    7(0

    .85–1.8

    9)1.0

    5(0

    .81–1.3

    5)

    1.2

    7(0

    .95–1.7

    0)

    1.9

    8(1

    .18–3.3

    0)

    0.0

    1

    Model

    3:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    per

    inata

    lvari

    able

    sb1.0

    01.2

    5(0

    .84–1.8

    6)1.0

    1(0

    .78–1.3

    0)

    1.2

    1(0

    .90–1.6

    3)

    1.8

    9(1

    .13–3.1

    5)

    0.0

    4

    Model

    4:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    adult

    -lif

    ech

    ara

    cter

    isti

    csc

    1.0

    01.2

    8(0

    .87–1.9

    0)1.0

    1(0

    .78–1.3

    0)

    1.2

    3(0

    .91–1.6

    5)

    1.9

    7(1

    .20–3.2

    4)

    0.0

    2

    Model

    5:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    BM

    Iat

    age

    18

    yea

    rs1.0

    01.2

    7(0

    .86–1.8

    7)1.0

    0(0

    .77–1.2

    8)

    1.2

    2(0

    .91–1.6

    4)

    1.8

    8(1

    .15–3.0

    7)

    0.0

    3

    Model

    6:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    most

    rece

    nt

    pre

    -pre

    gnancy

    BM

    I1.0

    01.2

    4(0

    .85–1.8

    1)1.0

    0(0

    .78–1.2

    9)

    1.1

    7(0

    .88–1.5

    6)

    1.8

    5(1

    .12–3.0

    4)

    0.0

    5

    Pate

    rnalsm

    okin

    gduri

    ng

    pre

    gnancy

    was

    adju

    sted

    inall

    the

    model

    s.aT

    he

    mate

    rnaland

    pate

    rnalvari

    able

    sin

    cluded

    mate

    rnaland

    pate

    rnalage

    at

    tim

    eof

    the

    daughte

    r’s

    bir

    th,m

    ate

    rnalpre

    -pre

    gnancy

    body

    mass

    index

    ,pate

    rnalbody

    mass

    index

    ,m

    ate

    rnalw

    eight

    gain

    duri

    ng

    pre

    gnancy

    ,m

    ate

    r-

    nalpre

    gnancy

    com

    plica

    tions

    (ges

    tati

    onaldia

    bet

    es,pre

    ecla

    mpsi

    a),

    and

    mate

    rnalco

    nsu

    mpti

    on

    of

    alc

    oholic

    bev

    erages

    duri

    ng

    pre

    gnancy

    .T

    he

    info

    rmati

    on

    was

    report

    edin

    the

    Nurs

    es’M

    oth

    ers

    Stu

    dy

    ques

    tionnair

    e.

    bT

    he

    per

    inata

    lvari

    able

    sin

    cluded

    the

    daughte

    r’s

    ges

    tati

    onalage

    at

    bir

    th,bir

    thw

    eight

    and

    bre

    ast

    feed

    ing

    statu

    s.T

    he

    info

    rmati

    on

    was

    report

    edin

    the

    Nurs

    es’M

    oth

    ers

    Stu

    dy

    ques

    tionnair

    e.

    cT

    he

    daughte

    rs’adult

    -lif

    evari

    able

    sin

    cluded

    pari

    ty,fa

    mily

    his

    tory

    of

    dia

    bet

    es,ci

    gare

    tte

    smokin

    g,physi

    calact

    ivit

    y,to

    talen

    ergy

    inta

    ke,

    and

    over

    all

    die

    tquality

    (i.e

    .A

    lter

    nate

    Hea

    lthy

    Eati

    ng

    Index

    ).T

    he

    info

    rmati

    on

    was

    re-

    port

    edin

    the

    Nurs

    es’H

    ealt

    hStu

    dy

    IIques

    tionnair

    e.dP

    for

    tren

    dacr

    oss

    non-s

    moker

    s,sm

    okin

    g1–14

    cigare

    ttes

    /day,sm

    okin

    g15–24

    cigare

    ttes

    /day

    and

    smokin

    g�

    15

    cigare

    ttes

    /day.

    Tab

    le3.P

    ate

    rna

    lcig

    are

    tte

    sm

    okin

    gd

    uri

    ng

    pre

    gn

    an

    cy

    an

    dth

    eri

    sk

    of

    ge

    sta

    tio

    na

    ld

    iab

    ete

    sin

    the

    da

    ug

    hte

    r

    Pate

    rnalci

    gare

    tte

    smokin

    gduri

    ng

    pre

    gnancy

    Pfo

    rtr

    end

    Non-s

    moker

    1–14

    cigare

    ttes

    /day

    15–24

    cigare

    ttes

    /day

    �25

    cigare

    ttes

    /day

    GD

    Mca

    ses/

    tota

    lpart

    icip

    ants

    350/7

    527

    128/3

    071

    166/3

    433

    92/1

    634

    Model

    1:A

    dju

    sted

    for

    the

    daughte

    r’s

    age

    and

    race

    /eth

    nic

    ity

    1.0

    00.9

    1(0

    .73–1.1

    3)

    1.0

    2(0

    .83–1.2

    6)

    1.1

    9(0

    .92–1.5

    4)

    0.2

    6

    Model

    2:M

    odel

    addit

    ionally

    adju

    sted

    for

    mate

    rnaland

    pate

    rnalvari

    able

    sa1.0

    00.9

    2(0

    .74–1.1

    5)

    1.0

    2(0

    .82–1.2

    5)

    1.1

    6(0

    .90–1.5

    1)

    0.3

    2

    Model

    3:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    per

    inata

    lvari

    able

    sb1.0

    00.9

    1(0

    .73–1.1

    3)

    1.0

    1(0

    .82–1.2

    4)

    1.1

    4(0

    .88–1.4

    8)

    0.3

    8

    Model

    4:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    adult

    -lif

    ech

    ara

    cter

    isti

    csc

    1.0

    00.9

    1(0

    .73–1.1

    4)

    1.0

    0(0

    .81–1.2

    2)

    1.0

    9(0

    .84–1.4

    1)

    0.5

    9

    Model

    5:M

    odel

    Addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    BM

    Iat

    age

    18

    yea

    rs1.0

    00.9

    1(0

    .73–1.1

    3)

    0.9

    8(0

    .80–1.2

    1)

    1.0

    7(0

    .82–1.3

    9)

    0.6

    9

    Model

    6:M

    odel

    addit

    ionally

    adju

    sted

    for

    the

    daughte

    r’s

    most

    rece

    nt

    pre

    -pre

    gnancy

    BM

    I1.0

    00.9

    2(0

    .74–1.1

    5)

    0.9

    9(0

    .80–1.2

    1)

    1.0

    3(0

    .80–1.3

    3)

    0.8

    6

    BM

    Iden

    ote

    sbody

    mass

    index

    .

    Mate

    rnalsm

    okin

    gduri

    ng

    pre

    gnancy

    was

    adju

    sted

    inall

    the

    model

    s.aT

    he

    mate

    rnal

    and

    pate

    rnal

    per

    inata

    lvari

    able

    sin

    cluded

    mate

    rnal

    and

    pate

    rnal

    age

    at

    tim

    eof

    the

    daughte

    r’s

    bir

    th,

    mate

    rnal

    pre

    -pre

    gnancy

    body

    mass

    index

    ,pate

    rnal

    body

    mass

    index

    ,m

    ate

    rnal

    wei

    ght

    gain

    duri

    ng

    pre

    g-

    nancy

    ,m

    ate

    rnalpre

    gnancy

    com

    plica

    tions

    (ges

    tati

    onaldia

    bet

    es,pre

    ecla

    mpsi

    a),

    and

    mate

    rnalco

    nsu

    mpti

    on

    of

    alc

    oholic

    bev

    erages

    duri

    ng

    pre

    gnancy

    .T

    he

    info

    rmati

    on

    was

    report

    edin

    the

    Nurs

    es’M

    oth

    ers

    Stu

    dy

    ques

    tionnair

    e.bT

    he

    per

    inata

    lvari

    able

    sin

    cluded

    the

    daughte

    r’s

    ges

    tati

    onalage

    at

    bir

    th,bir

    thw

    eight

    and

    bre

    ast

    feed

    ing

    statu

    s.T

    he

    info

    rmati

    on

    was

    report

    edin

    the

    Nurs

    es’M

    oth

    ers

    Stu

    dy

    ques

    tionnair

    e.cT

    he

    daughte

    rs’adult

    -lif

    evari

    able

    sin

    cluded

    pari

    ty,fa

    mily

    his

    tory

    of

    dia

    bet

    es,ci

    gare

    tte

    smokin

    g,physi

    calact

    ivit

    y,to

    talen

    ergy

    inta

    ke

    and

    over

    all

    die

    tquality

    (i.e

    .A

    lter

    nate

    Hea

    lthy

    Eati

    ng

    Index

    ).T

    he

    info

    rmati

    on

    was

    re-

    port

    edin

    the

    Nurs

    es’H

    ealt

    hStu

    dy

    IIques

    tionnair

    e.

    International Journal of Epidemiology, 2016, Vol. 45, No. 1 165

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    1–14, 15–24 or � 25 cigarettes/day, respectively, com-pared with those whose mothers did not smoke during

    pregnancy.

    Discussion

    We observed a positive association between maternal

    smoking during pregnancy and risk of GDM in the daugh-

    ter. Specifically, maternal smoking of � 25 cigarettes/dayduring pregnancy was associated with 98% higher risk of

    GDM in the daughter. The association was independent of

    other major risk factors during and after pregnancy and it

    was only slightly changed after adjustment for the daugh-

    ter’s birthweight and adult life variables including pre-

    pregnancy BMI. We did not find an association between

    paternal smoking and GDM in the daughter.

    With detailed information on smoking exposure as well as

    covariates during and after the pregnancy, our study expands

    previous findings on maternal smoking during pregnancy and

    GDM risk. The MoBa Cohort in Norway recently reported

    that in utero exposure to maternal tobacco smoke was associ-

    ated with increased risk of GDM.8 However, the dose-re-

    sponse relation between maternal smoking during pregnancy

    and GDM risk in the daughter was not assessed in that study

    (i.e. maternal smoking was assessed by yes versus no, without

    information on the dose). Furthermore, other maternal vari-

    ables were not available in that study, which may have lim-

    ited its ability to evaluate the impact of potential confounders

    on the observed association. A subsequent study using data

    from the Swedish Medical Birth Register yielded similar find-

    ings in a younger population (age range 13–28 years, with

    70% � 24 years).9 However, the generalizability of resultsamong this younger population may be limited, given that

    the incidence of GDM is higher in women aged 30 years or

    older.31 In addition, the registry had relatively limited infor-

    mation on maternal covariates. In the present study, detailed

    information on maternal and paternal characteristics was col-

    lected in the Nurses’ Mothers’ Cohort Study. Thus, the com-

    bination of parental data with the daughter’s data collected

    in the NHSII provides a unique opportunity to examine the

    long-term intergenerational impact of parental smoking on

    adulthood diseases in the daughter. Our results were also in

    line with previous studies regarding the association between

    maternal smoking during pregnancy and risk of type 2 dia-

    betes in adulthood.18,19

    The observed association between maternal heavy

    smoking during pregnancy and higher GDM risk is bio-

    logically plausible. Maternal smoking, as a deleterious in

    utero environmental insult, may lead to structural, physio-

    logical and metabolic changes to the fetus and result in

    0.5

    11

    .52

    Rel

    ativ

    e ri

    sk o

    f ges

    tatio

    nal d

    iabe

    tes

    -/- +/- -/+ or +/+Maternal/the daughter’s smoking status

    Figure 2. Joint effect of maternal smoking during pregnancy and the daughter’s smoking during adulthood on the risk of GDM in the daughter. The

    symbol ‘þ’ indicates smoking � 15 cigarettes/day, ‘-’ indicates no smoking or smoking < 15 cigarettes/day. The symbol before and after the ‘/’ de-notes smoking status of the mothers and the daughters, respectively. Covariates included the daughters’ age, maternal and paternal age at time of

    the daughter’s birth, maternal pre-pregnancy body mass index, paternal body mass index, maternal weight gain during pregnancy, maternal preg-

    nancy complications (gestational diabetes, preeclampsia), maternal consumption of alcoholic beverages during pregnancy, paternal smoking during

    pregnancy, daughter’s race/ethnicity, gestational age at birth, breastfeeding status, birth eight, parity, family history of diabetes, physical activity,

    total energy intake, overall diet quality (i.e. Alternate Healthy Eating Index), BMI at 18 years old and updated adulthood BMI.

    166 International Journal of Epidemiology, 2016, Vol. 45, No. 1

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    impaired glucose metabolism and metabolic diseases in

    adulthood.18,32 Animal studies suggest that fetal exposure

    to smoking might lead to altered pancreatic islet and adi-

    pose tissue development, beta cell apoptosis at birth and

    postnatal endocrine and metabolic changes.16,17 The

    observed divergent associations of maternal and paternal

    smoking during pregnancy with GDM risk in the daughter

    may indicate a specific intrauterine effect of maternal

    smoking, rather than shared familial confounding fac-

    tors,33 on GDM risk. This is in line with findings from a re-

    cent meta-analysis showing greater effect estimates of

    maternal smoking in pregnancy than paternal smoking in

    association with childhood obesity in the offspring.34

    There has been little evidence regarding in which tri-

    mester of pregnancy fetal exposure to smoking most influ-

    ences pancreatic islet and other metabolic effects that may

    increase the risk of GDM or type 2 diabetes. In the current

    study, we observed a dose-response relation between con-

    tinued maternal smoking during pregnancy and GDM risk

    in the daughter. We also observed suggestive evidence that

    the daughters of women who smoked only in the first tri-

    mester had a higher risk of GDM. Coincidentally, a previ-

    ous study found that fetal exposure to maternal smoking

    during the first trimester only was associated with type 2

    diabetes in adulthood.19 These results indicated that the

    first trimester of pregnancy might be a sensitive window

    for the development of diabetes induced by maternal

    smoking, which warrants confirmation in future studies.

    Our study had several strengths, including the large

    sample size, the availability of detailed information on

    both maternal and paternal smoking during pregnancy

    that allows analyses on dose-response relation, and the

    comprehensive information on potential confounders col-

    lected in the Nurses’ Mothers’ Cohort Study. Moreover,

    the study relied primarily on maternal reports of parental

    smoking during pregnancy, which is likely to be less mis-

    classified than reports by the daughters.

    We acknowledge that there were several limitations. First,

    the ascertainment of GDM was based on self-reports in the

    NHSII cohort. A previous validation study in a subset of this

    cohort found a high validity (94%) of GDM self-reports

    compared with medical record reviews,23 reducing the con-

    cern of outcome misclassification. Second, data on parental

    smoking and associated covariates during pregnancy were

    collected retrospectively in the Nurses’ Mothers’ Cohort

    Study. Although the validity of recalled maternal smoking

    during pregnancy was found to be high (sensitivity¼0.86,specificity¼0.94) in a similar study,22 it is possible thatmothers who smoked during pregnancy were more likely to

    be misclassified as not smoking than non-smoking mothers

    were to be misclassified as smokers. Such differential mis-

    classification would lead to an underestimation of the true

    association of maternal smoking on daughter’s GDM risk in

    this study. In addition, the mothers, in particular those who

    had other children besides the nurse daughter, might misre-

    member the circumstances (including parental smoking sta-

    tus) surrounding the pregnancy of the nurse daughter a long

    time after their pregnancies. It would be even more challeng-

    ing for the mothers to recall paternal smoking status during

    the specific pregnancy with the nurse daughter. However,

    since the data about parental smoking during pregnancy

    were collected without reference to the daughter’s GDM sta-

    tus in the present study, any misclassification due to misre-

    membering the parental smoking status during pregnancy

    would be non-differential with respect to GDM outcome in

    the daughter, which may also lead to an underestimation of

    the true association. Therefore, the true detrimental effects

    of maternal smoking on daughter’s GDM risk would be even

    stronger if misclassification bias could be minimized. Third,

    we did not have information about maternal smoking before

    pregnancy. Mothers who quit smoking before pregnancy

    were combined with never smokers in the reference group,

    which may underestimate the true effect of maternal smok-

    ing during pregnancy on the daughter’s risk of GDM.

    Fourth, the Nurses’ Mothers’ Cohort was limited to mothers

    who were alive and able to complete the questionnaire in

    2001. At that time, half of the mother participants were over

    70 years old. Since smoking is associated with higher risk of

    mortality and various morbidities, mothers who had smok-

    ing habits were less likely to survive or be able to participate

    in this cohort. As a result, the survival effect may underesti-

    mate the true association in this study. Fifth, our study popu-

    lation consisted mostly of Caucasian American women.

    Future research among other race/ethnic groups is needed.

    However, the relative homogeneity of the study population

    reduces potential confounding due to unmeasured socio-eco-

    nomic variability. Finally, although we have considered

    many potential confounders in this analysis, we cannot com-

    pletely exclude the possibilities of residual confounding from

    unmeasured factors. For instance, genetic factors may also

    confound the association in addition to other factors. It has

    been demonstrated that a genetic variant related to smoking

    behaviour is associated with adiposity, which will in turn be

    associated with GDM, even among people who have never

    smoked.35

    In conclusion, maternal heavy smoking (� 25 cigarettes/day) during pregnancy was associated with higher risk of

    GDM in the daughter. This study expanded our knowledge

    on the adverse health effects of maternal smoking during

    pregnancy, not only leading to short-term adverse pregnancy

    and perinatal outcomes but also increasing the long-term

    intergenerational risk of GDM in the daughter. It adds evi-

    dence to support the recommendation that maternal smoking

    during pregnancy should be strongly discouraged. Further

    International Journal of Epidemiology, 2016, Vol. 45, No. 1 167

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    studies are warranted to confirm our findings and to eluci-

    date the underlying mechanisms.

    Supplementary Data

    Supplementary data are available at IJE online.

    Funding

    This study was supported by the Intramural Research Program of

    the Eunice Kennedy Shriver National Institute of Child Health and

    Human Development, National Institutes of Health (contract No.

    HHSN275201000020C). The Nurses’ Health Study II was funded

    by research grants DK58845, CA50385, P30 DK46200 and UM1

    CA176726 from the National Institutes of Health. The Nurses’

    Mothers’ Cohort Study was funded by the Intramural Research

    Program of the National Cancer Institute, Research Contract N02-

    RC-17027 from the National Cancer Institute, and by P.O. 263 MQ

    411027 from the National Cancer Institute. D.T. was supported by

    a mentored fellowship from the American Diabetes Association

    (No. 7-12-MN-34) and a K01 grant from National Institute of

    Diabetes and Digestive and Kidney Diseases (DK58845). A.G. was

    supported by a training grant from National Institute of Diabetes

    and Digestive and Kidney Diseases (T32-DK007703-16).

    Contributors

    W.B. and C.Z. conceived the idea and designed the study.

    W.B. wrote the manuscript. K.B.M., D.K.T., S.L., J.E.C,

    A.J.G., A.A.V., F.B.H. and C.Z. interpreted the results and

    reviewed and edited the manuscript. S.L. conducted tech-

    nique review for this manuscript. W.B. and C.Z. had pri-

    mary responsibility for final content. All authors provided

    intellectual input into the paper, and all authors read and

    approved the final manuscript.

    Conflict of interest: All the authors declare no conflicts of

    interest.

    References

    1. Gluckman PD, Hanson MA, Cooper C, Thornburg KL. Effect of

    in utero and early-life conditions on adult health and disease. N

    Engl J Med 2008;359:61–73.

    2. Cnattingius S. The epidemiology of smoking during pregnancy:

    smoking prevalence, maternal characteristics, and pregnancy

    outcomes. Nicotine Tob Res 2004;6(Suppl 2):S125–40.

    3. Tong VT, Dietz PM, Morrow B et al. Trends in smoking before,

    during, and after pregnancy—Pregnancy Risk Assessment

    Monitoring System, United States, 40 sites, 2000–2010. MMWR

    Surveill Summ 2013;62:1–19.

    4. Gilbert NL, Bartholomew S, Raynault MF, Kramer MS.

    Temporal Trends in Social Disparities in Maternal Smoking and

    Breastfeeding in Canada, 1992–2008. Matern Child Health J

    2014;18:1905–11.

    5. Rogers JM. Tobacco and pregnancy. Reprod Toxicol 2009;

    28:152–60.

    6. Durmus B, Kruithof CJ, Gillman MH et al. Parental smoking

    during pregnancy, early growth, and risk of obesity in preschool

    children: the Generation R Study. Am J Clin Nutr 2011; 94:

    164–71.

    7. Harris HR, Willett WC, Michels KB. Parental smoking during

    pregnancy and risk of overweight and obesity in the daughter.

    Int J Obes (Lond) 2013;37:1356–63.

    8. Cupul-Uicab LA, Skjaerven R, Haug K, Melve KK, Engel SM,

    Longnecker MP. In utero exposure to maternal tobacco smoke

    and subsequent obesity, hypertension, and gestational diabetes

    among women in the MoBa cohort. Environ Health Perspect

    2012;120:355–60.

    9. Mattsson K, Kallen K, Longnecker MP, Rignell-Hydbom A,

    Rylander L. Maternal smoking during pregnancy and daughters’

    risk of gestational diabetes and obesity. Diabetologia 2013;

    56:1689–95.

    10. Oken E, Levitan EB, Gillman MW. Maternal smoking during

    pregnancy and child overweight: systematic review and meta-

    analysis. Int J Obes (Lond) 2008;32:201–10.

    11. Behl M, Rao D, Aagaard K et al. Evaluation of the association

    between maternal smoking, childhood obesity, and metabolic

    disorders: a national toxicology program workshop review.

    Environ Health Perspect 2013;121:170–80.

    12. American Diabetes Association. Gestational diabetes mellitus.

    Diabetes Care 2004;27(Suppl 1):S88–90.

    13. Metzger BE, Lowe LP, Dyer AR et al. Hyperglycemia and

    adverse pregnancy outcomes. N Engl J Med 2008;358:1991–

    2002.

    14. Reece EA, Leguizamon G, Wiznitzer A. Gestational diabetes: the

    need for a common ground. Lancet 2009;373:1789–97.

    15. Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes

    mellitus after gestational diabetes: a systematic review and meta-

    analysis. Lancet 2009;373:1773–79.

    16. Holloway AC, Lim GE, Petrik JJ, Foster WG, Morrison KM,

    Gerstein HC. Fetal and neonatal exposure to nicotine in Wistar

    rats results in increased beta cell apoptosis at birth and postnatal

    endocrine and metabolic changes associated with type 2 dia-

    betes. Diabetologia 2005;48:2661–66.

    17. Somm E, Schwitzgebel VM, Vauthay DM et al. Prenatal nicotine

    exposure alters early pancreatic islet and adipose tissue develop-

    ment with consequences on the control of body weight and

    glucose metabolism later in life. Endocrinology 2008;149:

    6289–99.

    18. Montgomery SM, Ekbom A. Smoking during pregnancy and dia-

    betes mellitus in a British longitudinal birth cohort. BMJ 2002;

    324:26–27.

    19. Jaddoe VW, de Jonge LL, van Dam RM et al. Fetal exposure to

    parental smoking and the risk of type 2 diabetes in adult women.

    Diabetes Care 2014;37:2966–73.

    20. Michels KB, Willett WC, Graubard BI et al. A longitudinal study

    of infant feeding and obesity throughout life course. Int J Obes

    (Lond) 2007;31:1078–85.

    21. Simard JF, Rosner BA, Michels KB. Exposure to cigarette smoke

    in utero: comparison of reports from mother and daughter.

    Epidemiology 2008;19:628–33.

    22. Tomeo CA, Rich-Edwards JW, Michels KB et al. Reproducibility

    and validity of maternal recall of pregnancy-related events.

    Epidemiology 1999;10:774–77.

    168 International Journal of Epidemiology, 2016, Vol. 45, No. 1

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    23. Solomon CG, Willett WC, Rich-Edwards J et al. Variability in

    diagnostic evaluation and criteria for gestational diabetes.

    Diabetes Care 1996;19:12–16.

    24. Rimm EB, Stampfer MJ, Colditz GA, Chute CG, Litin LB,

    Willett WC. Validity of self-reported waist and hip circumfer-

    ences in men and women. Epidemiology 1990;1:466–73.

    25. Willett WC, Sampson L, Browne ML et al. The use of a self-

    administered questionnaire to assess diet four years in the past.

    Am J Epidemiol 1988;127:188–99.

    26. Willett WC, Sampson L, Stampfer MJ et al. Reproducibility and

    validity of a semiquantitative food frequency questionnaire. Am

    J Epidemiol 1985;122:51–65.

    27. Salvini S, Hunter DJ, Sampson L et al. Food-based validation of

    a dietary questionnaire: the effects of week-to-week variation in

    food consumption. Int J Epidemiol 1989;18:858–67.

    28. Chiuve SE, Fung TT, Rimm EB et al. Alternative dietary indices

    both strongly predict risk of chronic disease. J Nutr 2012;

    142:1009–18.

    29. Wolf AM, Hunter DJ, Colditz GA et al. Reproducibility and val-

    idity of a self-administered physical activity questionnaire. Int J

    Epidemiol 1994;23:991–99.

    30. Hu FB, Stampfer MJ, Rimm E et al. Dietary fat and coronary

    heart disease: a comparison of approaches for adjusting for total

    energy intake and modeling repeated dietary measurements. Am

    J Epidemiol 1999;149:531–40.

    31. Makgoba M, Savvidou MD, Steer PJ. An analysis of the inter-

    relationship between maternal age, body mass index and racial

    origin in the development of gestational diabetes mellitus. BJOG

    2012;119:276–82.

    32. Bakker H, Jaddoe VW. Cardiovascular and metabolic in-

    fluences of fetal smoke exposure. Eur J Epidemiol 2011;26:

    763–70.

    33. Davey Smith G. Negative control exposures in epidemiologic

    studies. Epidemiology 2012;23:350–51; author reply 51–52.

    34. Riedel C, Schonberger K, Yang S et al. Parental smoking and

    childhood obesity: higher effect estimates for maternal

    smoking in pregnancy compared with paternal smoking—–a

    meta-analysis. Int J Epidemiol 2014;43:1593–606.

    35. Taylor AE, Morris RW, Fluharty ME et al. Stratification by

    smoking status reveals an association of CHRNA5-A3-B4 geno-

    type with body mass index in never smokers. PLoS Genet

    2014;10:e1004799.

    International Journal of Epidemiology, 2016, Vol. 45, No. 1 169

    Dow

    nloaded from https://academ

    ic.oup.com/ije/article-abstract/45/1/160/2363826 by U

    niversity of Texas at Tyler user on 10 February 2020

    • dyv334-TF1
    • dyv334-TF2
    • dyv334-TF3
    • dyv334-TF4
    • dyv334-TF5
    • dyv334-TF6
    • dyv334-TF7
    • dyv334-TF8
    • dyv334-TF9
    • dyv334-TF10
    • dyv334-TF11
    • dyv334-TF12
    • dyv334-TF13
    • dyv334-TF14
    • dyv334-TF15

                                                                                                                                      Order Now