scholarly journals Do depression, anxiety, emotional intelligence, and sleep quality affect diabetes management self-efficacy in Korean women with gestational diabetes in pregnancy?: a descriptive correlational study

2021 ◽  
Vol 27 (4) ◽  
pp. 358-367
Author(s):  
Hoon Ah Lee ◽  
Keum Seong Jang
Keyword(s):  
Emotional Intelligence ◽  
Gestational Diabetes ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Self Efficacy ◽  
Online Survey ◽  
Diabetes Management ◽  
Final Analysis ◽  
Depressive Mood ◽  
Factors Associated

Purpose: This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea.Methods: A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy. The SPSS version 23.0 (IBM Corp.) was used for the analysis. Results: Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance. Conclusion: The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.

Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis

2020 ◽  
Vol 67 ◽  
pp. 47-55
Author(s):  
Bingqian Zhu ◽  
Changgui Shi ◽  
Chang G. Park ◽  
Sirimon Reutrakul
Keyword(s):  
Systematic Review ◽  
Gestational Diabetes ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Meta Analysis

Factors Associated With Sleep Quality in Pregnant Women

2011 ◽  
Vol 60 (6) ◽  
pp. 405-412 ◽  
Author(s):  
Shao-Yu Tsai ◽  
Lu-Ting Kuo ◽  
Yeur-Hur Lai ◽  
Chien-Nan Lee
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Factors Associated

scholarly journals Factors associated with fear of hypoglycaemia among the T1D Exchange Glu population in a cross-sectional online survey

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e038462
Author(s):  
Jingwen Liu ◽  
Jeoffrey Bispham ◽  
Ludi Fan ◽  
Jiat-Ling Poon ◽  
Allyson Hughes ◽  
...  
Keyword(s):  
Online Community ◽  
Online Survey ◽  
Diabetes Management ◽  
Insulin Pump ◽  
Short Form ◽  
Glycosylated Hemoglobin ◽  
Improve Patient Care ◽  
Diabetes Distress ◽  
Cross Sectional ◽  
Factors Associated

ObjectivesFear of hypoglycaemia (FoH) has been associated with suboptimal diabetes management and health outcomes. This study investigated factors associated with behavioural and emotional aspects of FoH among adults living with type 1 diabetes (T1D) mellitus.DesignCross-sectional study.SettingOnline survey hosted on T1D Exchange Glu, an online community for patients living with T1D mellitus.MeasuresThe Hypoglycaemia Fear Survey II-short form and the Hypoglycaemic Attitudes and Behaviour Scale were used to assess FoH. Multivariable regressions were performed on assessment scores.ResultsThe study included 494 participants (mean±SD age 43.9±12.2 years, duration of T1D mellitus 16.6±16.8 years, self-reported glycosylated hemoglobin (HbA1c) 6.9%±0.8% (52±9 mmol/mol)), 63% men, 89% on insulin pump, 25% experienced a severe hypoglycaemic event in the last 6 months. Multivariable regression analyses showed higher anxiety, depression severity and diabetes distress were independently associated with FoH (all p<0.01). Longer diabetes duration was associated with lower FoH (p<0.01). Past experience with severe hypoglycaemia was associated with higher worry of hypoglycaemia (p<0.01) but not avoidance behaviour (ns).ConclusionsThese results highlighted the multifaceted nature of FoH, which warrants further discussion between providers and patients to uncover drivers of and actions required to reduce FoH and improve patient care and outcomes.

scholarly journals Risk Factors Associated with Gestational Diabetes among Pregnant Women in Owerri Municipal Council, Southeastern Nigeria

2013 ◽  
Vol 5 (1) ◽  
pp. 39-46 ◽  
Author(s):  
JC Nwaokoro ◽  
CO Emerole ◽  
SNO Ibe ◽  
AN Amadi ◽  
INS Dozie
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Significant Relationship ◽  
Previous History ◽  
Southeastern Nigeria ◽  
Family History Of Diabetes ◽  
Factors Associated ◽  
History Of

Background Gestational diabetes is emerging as a serious public health problem in Nigeria where the largest number of people with diabetes in Africa occurs. Current studies in Nigeria give an overall prevalence of gestational diabetes as 13.4% among pregnant women with unidentified risk factors. Aims and Objectives This study aimed at investigating the risk factors associated with gestational diabetes. Materials and Methods A cross-section analytical study design was adopted for this research and comprising a total of 100 pregnant women receiving ante-natal health care service at the Federal Medical Center, Owerri. A structured questionnaire including a set of detailed pre-determined questions was administered on the subjects. Data collected were analyzed statistically, using chi-square and T test. Results The results obtained suggest that there is a significant relationship (p<0.05) between previous macrosomic baby, parity, previous history of caesarean section, family history of diabetes and occurrence of gestational diabetes, respectively. However, there is no significant relationship (p>0.05) between history of miscarriages and stillbirth, socioeconomic status and occurrence of gestational diabetes. A family history of diabetes is independently and significantly associated with the development of gestational diabetes itself even after adjusting for other risk factors. Conclusion This study will be a working tool to guide obstetricians and midwives in counseling and advising women of their risk of developing GDM. DOI: http://dx.doi.org/10.3126/ajms.v5i1.8302 Asian Journal of Medical Science Vol.5(1) 2014 pp.39-46  

scholarly journals The impact of COVID-19 on the physical activity and sedentary behaviour levels of pregnant women with gestational diabetes

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0254364
Author(s):  
Medbh Hillyard ◽  
Marlene Sinclair ◽  
Marie Murphy ◽  
Karen Casson ◽  
Ciara Mulligan
Keyword(s):  
Physical Activity ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Sedentary Behaviour ◽  
Online Survey ◽  
Eligibility Criteria ◽  
Physical Activity Guidelines ◽  
Health Initiatives ◽  
The Uk ◽  
The Impact

Background The aim of this study was to understand how physical activity and sedentary behaviour levels of pregnant women with gestational diabetes in the UK have been affected by COVID-19. Methods An online survey exploring physical activity and sedentary behaviour levels of pregnant women with gestational diabetes during COVID-19 was distributed through social media platforms. Women who had been pregnant during the COVID-19 outbreak and had gestational diabetes, were resident in the UK, were 18 years old or over and could understand written English were invited to take part. Results A total of 724 women accessed the survey, 553 of these met the eligibility criteria and took part in the survey. Sedentary time increased for 79% of the women during the pandemic. Almost half of the women (47%) were meeting the physical activity guidelines pre COVID-19 during their pregnancy, this dropped to 23% during the COVID-19 pandemic. Fear of leaving the house due to COVID-19 was the most commonly reported reason for the decline. Significant associations were found between meeting the physical activity guidelines during COVID-19 and educational attainment, fitness equipment ownership and knowledge of how to exercise safely in pregnancy. Conclusions and implications These results show the impact of COVID-19 on physical activity and sedentary behaviour levels and highlight the need for targeted public health initiatives as the pandemic continues and for future lockdowns. Women with gestational diabetes need to know how it is safe and beneficial to them to engage in physical activity and ways to do this from their homes if fear of leaving the house due to COVID-19 is a barrier for them. Online physical activity classes provided by certified trainers in physical activity for pregnant women may help them remain active when face-to-face appointments are reduced and limited additional resources are available.

scholarly journals A Quantile Regression Analysis of Factors Associated with First-Time Maternal Fatigue in Korea

2021 ◽  
Vol 19 (1) ◽  
pp. 215
Author(s):  
Jeongok Park ◽  
Chang Gi Park ◽  
Kyoungjin Lee
Keyword(s):  
Sleep Quality ◽  
Quantile Regression ◽  
Online Survey ◽  
Free Time ◽  
Cross Sectional ◽  
Fatigue Score ◽  
Factors Associated ◽  
Maternal Sleep ◽  
First Time ◽  
Maternal Fatigue

The aim of this cross-sectional study was to identify the factors associated with different percentiles of first-time maternal fatigue. A total of 123 first-time healthy mothers aged 18 years or older participated through an online survey. The fatigue was measured by the Korean version of the fatigue severity scale. Main variables were constructed based on the integrated fatigue model, which included mothers’ sleep quality, parenting stress, the amount of free time mothers have, the number of the child’s night wakings, general characteristics including socioeconomic status, and working status. Quantile regression was used to analyze the associated factors according to the fatigue level of first-time mothers with a young child. The mean age of the mothers and children were 32.11 years and 20.81 months, respectively. Mean fatigue score was 6.16 among the 75% quantile with high fatigue score. Lack of adequate free time in mothers, advanced maternal age, being a housewife, having a moderate income, and frequent night wakings of their child significantly increased fatigue among mothers in the third quantile of fatigue. To reduce fatigue, healthcare providers should focus on exploring ways to reduce maternal sleep disturbance and improve maternal sleep quality.

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