Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Archives of Gynecology and Obstetrics 2012-Jan

Daytime sleepiness and quality of life: are they associated in obese pregnant women?

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Norma Amador-Licona
Juan M Guízar-Mendoza

Palavras-chave

Resumo

OBJECTIVE

To know the relationship between daytime sleepiness and quality of life during pregnancy according to the weight gain and baseline weight.

METHODS

We studied 216 pregnant women (108 obese and 108 non-obese). At first and third trimester of pregnancy they completed the 12-item short-form health survey (SF-12) and the Epworth Sleepiness Scale (ESS). Furthermore, in both visits, we evaluated blood pressure, body mass index (BMI), and reviewed all medical charts to identify pregnancy complications.

RESULTS

Weight gain and mental component of quality of life (MCS-12) in both trimesters were lower in the obese group, whereas ESS was higher. The physical component of quality of life (PCS-12) was only lower in the same group at third trimester. Those women with ESS ≥ 10 at third trimester showed a higher baseline BMI and ESS score, but lower MCS-12 and PCS-12 at third trimester. Baseline and final BMI were positively associated with ESS at third trimester, whereas PCS-12 value in both trimesters was negatively related.

CONCLUSIONS

Obesity at the beginning of pregnancy but not weight gain was related to low quality of life and daytime sleepiness at the third trimester of gestation. High BMI but low PCS-12 during pregnancy was associated with daytime sleepiness.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge