Factors Predicting Preterm Labor Preventive Behaviors among Pregnant Women Working in Factories
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Abstract
The purpose of this study was to analyze preterm labor preventive behavior and investigate the factors predicting preterm labor preventive behavior among pregnant women working in factories. Participants were of 260 pregnant women working in factories with a gestational age of 26 weeks or more who attended obstetric private clinics. Data were collected by self-report questionnaires including demographic data, preterm labor preventive behaviors, risky work conditions, perceived benefits of action, perceived barriers to action, perceived self-efficacy, social support, and prenatal care of factories. The content validity indices (CVI) and Cronbach's alpha coefficients of all questionnaires ranged from .92 to 1.00 and from .71 to .90. Descriptive statistics and backward multiple regression were used to analyze the data. The study results found that the mean score for participants preterm labor preventive behaviors moderate level was 50.77 (SD = 5.29). The perceived benefits of action, perceived barriers to action, perceived self-efficacy, and social support were significant factors in predicting preterm labor preventive behaviors. They accounted for 49.7% (R2 = .497) of the variance in preterm labor preventive behaviors. The findings imply that healthcare centers or providers should increase perceived self-efficacy, social support, and preterm labor preventive behaviors among pregnant women working in factories to reduce the risk of preterm birth.
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References
Abd-Elhakam, E. M., Ramadan, E. A., El-Houfey, A. A., & Abd El haliem Said, S., (2020). Effect of an educational program based on health belief model on prevention of preterm birth among newly pregnant women. International Journal of Management, 11(10), 1029-1045.
Bloom, B. S. (1971). Learning for mastery. In B. S. Bloom, J. T. Hastings, & G. F. Madaus (Eds.), Handbook on formative and summative evaluation of student learning (chap. 3). New York: McGraw-Hill.
Chaiyingcheaw, K., Anusornteerakul, S., & Ungpansattawong, S. (2017). The relationship between perception of preterm labour and prevention behavior among women of advanced maternal age. Nursing Journal of The Ministry of Public Health, 26(3), 196-207. [In Thai].
Dolatian, M., Sharifi, N., & Mahmoodi, Z., (2018). Relationship of socioeconomic status, psychosocial factors, and food insecurity with preterm labor: a longitudinal study. International Journal of Reproductive BioMedicine, 16(9), 563-570.
Faramee, P., Sriarporn, P., & upavititpatana, B., (2022). Factors predicting health promotion behaviors among adolescent mothers. Journal of Phrapokklao Nursing College, 33(2). 146-158. [In Thai].
Health Data Center. (2022). Percent of preterm birth in year 2022. Retrieved from https://hdcservice.moph.go.th/hdc/ reports/report.php?cat_id=1ed90bc32310b503b7ca9b32af425ae5&id=ecdbfc8b4725386c34623ce99f0f4b8d.
[In Thai].
Horsuwannanon, C., Teanchaithut, C., Aumpram, K., & Kansompoj, K., (2023). The preterm birth preventive behaviors among pregnant women at risk of preterm birth in Phetchaburi Province. Journal of Nursing and Health Research, 24(3), 112-124. [In Thai].
House, J. S. (1981). Work: Stress and social support. Reading. MA: Addison Wesley.
Izadirad, H., Niknami, S., Zareban, I., & Hidarnia, A. (2017). Effects of social support and self-efficacy on maternal
prenatal cares among the first-time pregnant women, Iranshahr, Iran. Journal of Family & Reproductive
Health, 11(2), 67–73.
Jaru, A., Chatchawet, W., & Kritcharoen, S. (2019). Factors predicting self-care behaviors among regnant women with
successful inhibition of preterm labor. Journal of Research in Nursing-Midwifery and Health Sciences, 39(1),
-92. [In Thai].
Kaeonoi, A., Phumonsakul, S., & Gerdprasert, S. (2018). Factors related to health promoting behaviors and gestational age at birth of pregnant women at risk of preterm birth. Nursing Research and Innovation Journal, 24(3), 264-278. [In Thai].
Khwanprom, R., Chareonsanti, J., & Sriarporn, P. (2021). Health literacy and exercise behaviors among pregnant women. Nursing Journal CMU, 48(1), 210-221. [In Thai].
McKenzie, L. M., Guo, R., Witter, R. Z., Savitz, D. A., Newman, L. S., & Adgate, J. L. (2014). Birth outcomes and maternal residential proximity to natural gas development in rural Colorado. Environmental Health Perspectives, 122(4), 412–417. https://doi.org/10.1289/ehp.1306722
Mozurkewich E. (2020). Working conditions and pregnancy outcomes: An updated appraisal of the evidence. American Journal of Obstetrics and Gynecology, 222(3), 201–203. https://doi.org/10.1016/j.ajog.2019.11.1263
Ngamchay, C., Tachasuksri, T., & Siriarunrat, S. (2020). Predicting factors of eating behaviors among pregnant women working in industrial factories. The Journal of Faculty of Nursing Burapha University, 28(1), 48-59. [In Thai].
Office of the Council of State. (2019). The Labour Protection Act B.E. 2541. Retrieved from https://www.mol.go.th/wp-content/uploads/sites/2/1998/01/labour_protection_2541_new62.pdf. [In Thai].
Osterman, M., Hamilton, B., Martin, J. A., Driscoll, A. K., & Valenzuela, C. P. (2021). Births: Final Data for 2020. National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System, 70(17), 1–50. chrome-extension:// efaidnbmnnnibpcajpcglclefindmkaj/https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-17.pdf
Pender, N. J., Murdaugh, C. L., & Parsons, M. A. (2019). Health promotion innursing practice (8th ed.). New York: Pearson Education, Inc.
Phetcharak, K., Intharueang, U., Talerd, W., & Chitjumnong, F. (2019). The relationship between perception of preterm labour and prevention behavior among women of post partum. Medical Journal of Srisaket Surin Buriram Hospitals, 34(1), 87-100. [In Thai].
Rayong Provincial Labor Office. (n.d.). Labour statistics in Rayong province yearbook 2022. Retrieved from https://rayong.mol.go.th/wp-content/uploads/sites/47/2023/02/สถานการณ์ด้านแรงงานจังหวัดระยอง-รายปี-2565-แก้ไข.pdf. [In Thai].
Siriarunrat, S., Tachasuksri, T., Suppaseemanon, W., & Boonnate N. (2019). Safety in workplaces and factors influencing work safety behavior among pregnant women working in the industries in the east coast area of Thailand. Journal of Public Health Nursing, 33(3), 29-45. [In Thai].
Teanchaithut, C., Aumpram, K., Gettong, N., & Somjai, C. (2022). Predicting factors of preterm labor preventive
behaviors among pregnant adolescents. Journal of Health Research and Innovation, 5(1), 35-46. [In Thai].
Tabachnick, B. G., & Fidell, L. S. (2014). Using multivariate statistics (6th ed.). Harlow: Pearson.
Tachasuksri, T., Siriarunrat, S., Suppasri. P., Suppaseemanont, W., Boonnate, N., & Kwannate, C. (2017). Causal model for quality of life among pregnant women. The Southern College Network Journal of Nursing and Public Health, 4(1), 28-46. [In Thai].
