Sleep deprivation, physical activity and low income are risk factors for inadequate weight gain during pregnancy: A cohort study

Abeysena, Chrishantha; Jayawardana, Pushpa

doi:10.1111/j.1447-0756.2010.01421.x

Cited by 40 publications

(56 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Women who slept for ten hours or more were nearly twice as likely to exceed 2009 IOM recommendations compared to women who reported less than eight hours of sleep nightly. While these results are contrary to findings from Althuizen et al, which links a reduction in nocturnal sleep with increased GWG [19], a larger study has recently identified sleep deprivation as a risk factor for inadequate GWG [46]. When we compared sleep duration in the “low” versus “normal” GWG groups we found no significant difference.…”

Section: Discussioncontrasting

confidence: 99%

Risk Factors for Excessive Gestational Weight Gain in a Healthy, Nulliparous Cohort

et al. 2014

View full text Add to dashboard Cite

Objective. Excessive gestational weight gain (GWG) is associated with adverse maternal and child outcomes and contributes to obesity in women. Our aim was to identify early pregnancy factors associated with excessive GWG, in a contemporary nulliparous cohort. Methods. Participants in the SCOPE study were classified into GWG categories (“not excessive” versus “excessive”) based on pregravid body mass index (BMI) using 2009 Institute of Medicine (IOM) guidelines. Maternal characteristics and pregnancy risk factors at 14–16 weeks were compared between categories and multivariable analysis controlled for confounding factors. Results. Of 1950 women, 17% gained weight within the recommended range, 74% had excessive and 9% inadequate GWG. Women with excessive GWG were more likely to be overweight (adjOR 2.9 (95% CI 2.2–3.8)) or obese (adjOR 2.5 (95% CI 1.8–3.5)) before pregnancy compared to women with a normal BMI. Other factors independently associated with excessive GWG included recruitment in Ireland, younger maternal age, increasing maternal birthweight, cessation of smoking by 14–16 weeks, increased nightly sleep duration, high seafood diet, recent immigrant, limiting behaviour, and decreasing exercise by 14–16 weeks. Fertility treatment was protective. Conclusions. Identification of potentially modifiable risk factors for excessive GWG provides opportunities for intervention studies to improve pregnancy outcome and prevent maternal obesity.

show abstract

Section: Discussioncontrasting

confidence: 99%

Risk Factors for Excessive Gestational Weight Gain in a Healthy, Nulliparous Cohort

et al. 2014

View full text Add to dashboard Cite

show abstract

“…33,66,67 Insomnia is associated with significant morbidities including an increased risk for depression, 18 stress, 65,68 and inadequate or excessive gestational weight gain. 69,70 Although depression and stress are well known consequences of insomnia, fewer studies have evaluated insomnia in relation to gestational weight gain. Women are expected to gain adequate weight to support the growing fetus.…”

Section: Discussionmentioning

confidence: 99%

Identifying Insomnia in Early Pregnancy: Validation of the Insomnia Symptoms Questionnaire (ISQ) in Pregnant Women

Okun

Buysse

Hall

2015

Journal of Clinical Sleep Medicine

View full text Add to dashboard Cite

Study Objectives: Although a substantial number of pregnant women report symptoms of insomnia, few studies have used a validated instrument to determine the prevalence in early gestation. Identifi cation of insomnia in pregnancy is vital given the strong connection between insomnia and the incidence of depression, cardiovascular disease, or immune dysregulation. The goal of this paper is to provide additional psychometric evaluation and validation of the Insomnia Symptom Questionnaire (ISQ) and to establish prevalence rates of insomnia among a cohort of pregnant women during early gestation. Methods: The ISQ was evaluated in 143 pregnant women at 12 weeks gestation. The internal consistency and criterion validity of the dichotomized ISQ were compared to traditional measures of sleep from sleep diaries, actigraphy, and the Pittsburgh Sleep Quality Index using indices of sensitivity, specifi city, positive and negative predictive value (PPV, NPV), and likelihood ratio (LR) tests. Results: The ISQ identifi ed 12.6% of the sample as meeting a case defi nition of insomnia, consistent with established diagnostic criteria. Good reliability was established with Cronbach α = 0.86. The ISQ had high specifi city (most > 85%), but sensitivity, PPV, NPV, and LRs varied according to which sleep measure was used as the validating criterion. Conclusions: Insomnia is a health problem for many pregnant women at all stages in pregnancy. These data support the validity and reliability of the ISQ to identify insomnia in pregnant women. The ISQ is a short and cost-effective tool that can be quickly employed in large observational studies or in clinical practice where perinatal women are seen. 1 Among the many sleep complaints associated with pregnancy, diffi culty initiating or maintaining sleep or unrefreshing sleep, are the most frequently reported issues .1,2 Collectively these sleep symptoms comprise only one aspect of clinical insomnia. According to diagnostic criteria for insomnia, one must have: (1) a diffi culty initiating or maintaining sleep, and/or unrefreshing sleep despite adequate opportunity for sleep; (2) the duration of the sleep complaint is at least 1 mo; and (3) complaints of significant impairment in social, occupational, or daily functioning. 3,4 Insomnia is associated with activation of the stress system resulting in autonomic hyperarousa l. 5,6 It is also linked to various morbidities including depressi on.7-12 Emerging evidence implicates autonomic hyperarousal as a pathway through which the risk of depression is augmen ted. 13 This association is particularly relevant for pregnant women because there is evidence that depression is associated with an increased risk for preterm birth ( PTB), 14 and prenatal depression negatively impairs maternal-child bonding and neurocognitive develo pment.14-17 Having a simple diagnostic tool to identify clinical insomnia in pregnant women could be a fi rst step in reducing the incidence of depression, autonomic hyperarousal, as well as adverse pregnancy outcomes, such as PT...

show abstract

“…[1][2][3][4][5][6] It has been reported that pre-gestational BMI is strongly associated with metabolic changes in the levels of biochem-ical markers 7,8 and patterns of weight gain, which constitute alterations that occur in women's bodies to facilitate fetal development. [1][2][3][4][5][6] It has been reported that pre-gestational BMI is strongly associated with metabolic changes in the levels of biochem-ical markers 7,8 and patterns of weight gain, which constitute alterations that occur in women's bodies to facilitate fetal development.…”

Section: Introductionmentioning

confidence: 99%

The effect of leptin concentrations and other maternal characteristics on gestational weight gain is different according to pre‐gestational BMI: results from a prospective cohort

Franco-Sena

Rebelo²,

Pinto

et al. 2015

BJOG

View full text Add to dashboard Cite

show abstract

Sleep deprivation, physical activity and low income are risk factors for inadequate weight gain during pregnancy: A cohort study

Abstract: Risk factors for inadequate gestational weight gain were low income, being multiparous, sleep deprivation, physical activity in terms of standing and walking, and the male sex of baby.

Cited by 40 publications

References 33 publications

Risk Factors for Excessive Gestational Weight Gain in a Healthy, Nulliparous Cohort

Risk Factors for Excessive Gestational Weight Gain in a Healthy, Nulliparous Cohort

Identifying Insomnia in Early Pregnancy: Validation of the Insomnia Symptoms Questionnaire (ISQ) in Pregnant Women

The effect of leptin concentrations and other maternal characteristics on gestational weight gain is different according to pre‐gestational BMI: results from a prospective cohort

Contact Info

Product

Resources

About