Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: To investigate the relationship between sleeping behaviour and macronutrient intake of pregnant women.
Design: Cross-sectional analysis of data collected in 2009 as part of the Australian Longitudinal Study on Women's Health.
Setting: Australia PARTICIPANTS: Australian pregnant women (n = 437, aged 31-36) enrolled in the Australian Longitudinal Study on Women's Health who completed Survey 5 in 2009.
Measurements: Pregnant women self-reported sleep and dietary data. Latent class analysis derived sleep patterns. Relationships between sleep and diet were investigated through multivariate linear regression controlling for confounders including: area of residence, body mass index, depression, difficulty managing on income, education level and parity.
Findings: Latent class analysis identified three sleeping behaviour patterns: (LC1) average sleep (∼7.8 h) with no adverse sleep-related symptoms (n = 167); (LC2) average sleep (∼8.3 h) with adverse sleep symptoms (n = 193); and (LC3) short sleep (∼6.6 h) with adverse sleep symptoms (n = 97). After adjusting for potential confounders, LC2 was associated lower percentage energy (%E) total fat (b= -0.032, p = 0.039) and%E monounsaturated fat (b = -0.050, p = 0.005) and higher intake of%E carbohydrate (b = 0.031, p = 0.020), compared to LC1. No differences were found between LC1 and LC3.
Key Conclusions: Higher monounsaturated fat intake, at the expense of carbohydrate intake, may prove protective against poor sleep quality in pregnancy.
Implications For Practice: Antenatal support provided by health professionals should consider the important relationship between dietary intake and sleeping behaviour. Encouraging pregnant women to improve their sleep quality may prove an important strategy to optimise dietary intake during pregnancy and consequently improve the health outcomes for both mother and child.
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http://dx.doi.org/10.1016/j.midw.2019.07.019 | DOI Listing |
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