Factors Affecting Thai Fathers' Self-Efficacy to Support Exclusive Breastfeeding.

BACKGROUND: Breastfeeding is the ideal approach for feeding infants and is an important public health consideration. Successful exclusive breastfeeding initiation and duration is influenced by fathers' support. Paternal self-efficacy to support breastfeeding has also been shown to mediate infant feeding practices. The aim of this study was to investigate factors associated with Thai fathers' self-efficacy to support maternal exclusive breastfeeding. METHODS: We adopted a cross-sectional survey design for this study. In total, 215 Thai fathers who had a partner with a term (37-42 weeks) pregnancy participated in the study. Data were collected from antenatal care clinics at two hospitals in Northern Thailand between June and August 2022. Participants completed a sociodemographic questionnaire, the Fathers' Attitude toward Exclusive Breastfeeding questionnaire, the Fathers' Knowledge about Exclusive Breastfeeding questionnaire, and the Breastfeeding Self-Efficacy Scale (Short-Form). Multiple linear regression and hierarchical regression were used to analyze factors influencing Thai fathers' self-efficacy to support maternal exclusive breastfeeding. RESULTS: The mean breastfeeding self-efficacy score was 52.94 (SD = 8.58), indicating that fathers were confident they were able to support their partners' breastfeeding. Regression analysis revealed family type, fathers' attitude toward, and fathers' knowledge about exclusive breastfeeding significantly explaining 14.90% of the variance in paternal breastfeeding support self-efficacy. However, fathers' age, education, employment, income, and number of living children were not associated with their self-efficacy. CONCLUSIONS: The results demonstrated that family type and fathers' attitudes/knowledge about breastfeeding influenced their self-efficacy to support exclusive breastfeeding. Nurses should consider implementing breastfeeding interventions specific to fathers to enhance their attitudes and knowledge about breastfeeding, including increasing fathers' self-efficacy to support maternal exclusive breastfeeding efforts.

Sleep disturbances and related factors among nurses.

The aim of this study was to describe patterns and potential risk factors for sleep disturbances, including that of sleep apnea, among Thai registered nurses. A descriptive, cross-sectional design was implemented. A sample of 233 registered nurses was recruited from 10 nursing departments from a tertiary hospital. Participants completed a one-time, self-report questionnaire and a 1 week-long sleep diary. Descriptive and logistic regression statistics were used for the analysis. Approximately 76% of nurses slept less than 7 h, 12.3% had difficulty initiating sleep, and 5% had difficulty maintaining sleep. Short sleep duration was prevalent, and night shift work schedules that exceeded 10 episodes/month were perceived as contributing to difficulties with initiating sleep. After excluding males from the analysis, the risk for depression related to short sleep duration becomes statistically significant. Organizational policies for registered nurses' shift work should include effective management of night shift assignments, as well as interventional strategies and policy directions, to promote sleep quality and mental health to ensure nurse well-being and patient safety.

Factors associated with sleep quality of Thai intercity bus drivers.

This study aimed to describe sleep quality and explore factors associated with poor sleep quality in Thai intercity bus drivers. A cross-sectional design was employed with a sample of intercity bus drivers from 4 bus transportation companies. The Thai-PSQI was used to identify sleep quality, and the Thai Berlin Questionnaire used to assess sleep apnea risk. Data analysis included descriptive statistics and logistic regression. A total of 338 surveys were analyzed. All bus drivers were male; almost 66% of the bus drivers were defined as poor sleepers, and 18.1% were assessed as being at high risk for obstructive sleep apnea. Working night shifts (OR=20.6), rotating day or night shifts (OR=17.0), alcohol consumption (OR=2.7), being married (OR=3.1), and not exercising (OR=2.3) were related to poor sleep quality. The majority of the Thai intercity bus drivers in our study reported poor sleep quality indicating that action is required at both company and individual levels to encourage the adoption of healthy lifestyles and improvement of working conditions.

Short sleep duration among Thai nurses: Influences on fatigue, daytime sleepiness, and occupational errors.

OBJECTIVES: This study was conducted to: 1) describe sleep duration, fatigue, daytime sleepiness, and occupational errors among Thai nurses and 2) explore the influence of sleep duration on fatigue, daytime sleepiness, and occupational errors. METHODS: A cross-sectional design was implemented. A convenience sample of 233 full-time nurses with at least one year of work experience was recruited to participate in the study. Data were collected using self-reported questionnaires and 1-week sleep diaries. Descriptive and logistic regression statistics were performed using SPSS software. RESULTS: The mean total sleep time was 6.2 hours. Of the total participants, 75.9% (n=167) experienced short sleep duration, 38.2% (n=84) experienced fatigue, and 49.5% (n=109) experienced excessive daytime sleepiness. Occupational errors were reported by 11.7% (n=25). Medication errors, incorrectly performed procedures, and needle stick injuries were reported by 6.5% (n=13), 5.6% (n=12), and 4.7% (n=10), respectively, of participants performing the associated activities. The "Short Sleep Duration" group experienced more fatigue (p=.044) and excessive daytime sleepiness (p=.001) compared with the "Adequate Sleep Duration" group. Although occupational errors were more common in the "Short Sleep Duration" group, the difference between the two groups did not reach the level of statistical significance. Multivariable logistic regression analysis found that short sleep duration was a statistically significant risk factor for excessive daytime sleepiness (OR=2.47, 95% CI=1.18-5.19). CONCLUSIONS: The majority of registered nurses experience short sleep duration. Short sleep duration increased the risk of excessive daytime sleepiness but not fatigue or occupational errors. Adequate night-time sleep is paramount for preventing daytime sleepiness and achieving optimal work performance.

Fundal height growth curve patterns of pregnant women with term low birth weight infants.

PURPOSE: To investigate the patterns of fundal height (FH) growth curve in pregnant women with term low birth weight (LBW) infants compared with the standard FH growth curve for Thai women. SUBJECTS AND METHODS: A retrospective study was conducted at the four governmental general hospitals in the northern part of Thailand between 2009 and 2011. All data were obtained from antenatal records and labor registry. Serial FH measurements in centimeters of 75 pregnant women with term LBW infants were plotted against the standard FH growth curve for Thai women throughout pregnancy. RESULTS: SIX PATTERNS OF THE FH GROWTH CURVE WERE SUMMARIZED: pattern I: FH below or around the tenth percentile throughout pregnancy (n=17, 22.7%); pattern II: FH below normal in early pregnancy, caught up with normal, then decelerated or stagnant (n=19, 25.3%); pattern III: FH normal in early pregnancy, then decelerated or stagnant (n=17, 22.7%); pattern IV: FH normal in early pregnancy, decelerated or stagnant, then caught up to normal (n=6, 8.0%); pattern V: FH normal throughout pregnancy except for the last visit (n=6, 8.0%); and pattern VI: FH normal throughout pregnancy (n=10, 13.3%). CONCLUSION: Patterns I-V may be used to recognize women who are likely to deliver term LBW infants from early pregnancy, during pregnancy, and on the day of admission for labor. Ultrasound evaluation is still recommended in cases with known risk factors that might be undetectable by FH, or in cases where FH measurement may be inaccurate.

Fundal height growth curve for thai women.

Objectives. To develop fundal height (FH) growth curve from normal singleton pregnancy based on last menstrual period (LMP) and/or ultrasound dating for women in the northern part of Thailand. Methods. A retrospective time-series study was conducted at four hospitals in the upper northern part of Thailand between January 2009 and March 2011. FH from 20 to 40 weeks was measured in centimeters. The FH growth curve was presented as smoothed function of the 10th, 50th, and 90th percentiles, which were derived from a regression model fitted by a multilevel model for continuous data. Results. FH growth curve was derived from 7,523 measurements of 1,038 women. Gestational age was calculated from LMP in 648 women and ultrasound in 390 women. The FH increased from 19.1 cm at 20 weeks to 35.4 cm at 40 weeks. The maximum increase of 1.0 cm/wk was observed between 20 and 32 weeks, declining to 0.7 cm/wk between 33 and 36 weeks and 0.3 cm/wk between 37 and 40 weeks. A quadratic regression equation was FH (cm) = -19.7882 + 2.438157 GA (wk) - 0.0262178 GA(2) (wk) (R-squared = 0.85). Conclusions. A demographically specific FH growth curve may be an appropriate tool for monitoring and screening abnormal intrauterine growth.

Fundal height growth curve for underweight and overweight and obese pregnant women in Thai population.

Objectives. To develop fundal height growth curves for underweight and overweight and obese pregnant women based on gestational age from last menstrual period and/or ultrasound. Methods. A retrospective study was conducted at four hospitals in the northern part of Thailand between January 2009 and March 2011. Fundal height, gestational age, height, and prepregnancy weight were extracted from antenatal care and delivery records. Fundal height growth curves were presented as smoothed function of the 10th, 50th, and 90th percentiles between 20 and 40 weeks of gestation, derived from multilevel models. Results. Fundal height growth curve of the underweight was derived from 1,486 measurements (208 women) and the overweight and obese curve was derived from 1,281 measurements (169 women). The 50th percentile line of the underweight was 0.1-0.4 cm below the normal weight at weeks 23-31 and 0.5-0.8 cm at weeks 32-40. The overweight and obese line was 0.1-0.4 cm above the normal weight at weeks 22-29 and 0.6-0.8 cm at weeks 30-40. Conclusions. Fundal height growth curves of the underweight and overweight and obese pregnant women were different from the normal weight. In monitoring or screening for abnormal intrauterine growth in these women, fundal height growth curves specifically developed for such women should be applied.