Factors Influencing Intention to Change Preconception Lifestyle among Reproductive Women Working in Eastern Economic Corridor
Main Article Content
Abstract
Intention to change preconception life style among reproductive females results in pregnant
women’s health. This predictive study aimed to determine the intention to change the preconception
lifestyle and its predictors among reproductive-age women. Participants were 287 reproductive-age
women who were working in the Eastern Economic Corridor and came to get marriage certificates at
district offices in Chachoengsao province, Chon Buri province, and Rayong province. Data were
collected by self- reported questionnaires. The content validity values of the questionnaires were
.93-1.00 and Cronbach’s coefficients were .75-.89. Descriptive statistics and standard multiple
regression analysis were used to analyze the data. The results of the study showed that the intention
to change the preconception lifestyle of the sample was rated at a high level ( Mean= 61. 48,
SD=6.82). Perceived self-efficacy (ß=.747, t=17.985, p<.001), subjective norm (ß=.123,
t=2.983, p=.003), and perceived barriers in preconception care (ß=-.073, t=-2.244, p=.026)
were significant predictors and together explained 71. 10% of the variance of intention to change
preconception lifestyle (R2=.711, F3,283=231.750, p<.001). The findings of this study suggested
that nurses and other health care providers should enhance women’s perceived self-efficacy and their
positive social norms and decrease women’s perceived barriers to preconception care.
Article Details
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บทความและรายงานวิจัยในวารสารพยาบาลกระทรวงสาธารณสุข เป็นความคิดเห็นของ ผู้เขียน มิใช่ของคณะผู้จัดทำ และมิใช่ความรับผิดชอบของสมาคมศิษย์เก่าพยาบาลกระทรวงสาธารณสุข ซึ่งสามารถนำไปอ้างอิงได้
References
Ministry of Labour. Labour statistics yearbook 2022. 2022:15.(in Thai)
Eastern Economic Corridor Office. Development situation in the Eastern Economic Corridor. 2022;doi.org/https://www.eeco.or.th/web-upload/filecenter/untitled%20folder/eec001-6
Tanaka R, Tsuji M, Kusuhara K, Kawamoto T, Japan Environment and Children’s Study Group. Association between time-related work factors and dietary behaviors: results from the Japan Environment and Children’s Study (JECS). EHPM 2018;23(62):1-12.
Safi A, Cole M, Kelly AL, Zariwala MG, Walker NC. Workplace physical activity barriers and facilitators: a qualitative study based on employees physical activity levels. IJERPH 2022;19(9442):1-16.
Maleerat P, Songthamwat M, Saeng-aroon P, Kittithanesuan Y, Songthamwat S, Summart U, Saejueng K, Na Nan C. Pregnancy outcome in undernutrition mothers: A multicenter retrospective cohort study. Srinagarind Med J 2022;37(6):565-75.(in Thai)
Sun Y, Shen Z, Zhan Y, Wang Y, Ma S, Zhang S, Liu J, Wu S, Feng Y, Chen Y, Cai S, Shi Y, Ma L, Jiang Y. Effects of pre-pregnancy body mass index and gestational weight gain on maternal
and infant complications. BMC Pregnancy Childbirth 2020;390:1-13.
O’Donnell MG, Stumpp L, Gallaher MJ, Powers RW. Pre-pregnancy stress induces maternal vascular dysfunction during pregnancy and postpartum. Reproductive Sciences 2023;30:3197–211.
Yang L, Wang H, Yang L, Zhao M, Guo Y, Bovet P, Xi B. Maternal cigarette smoking before or during pregnancy increases the risk of birth congenital anomalies: a population-based retrospective cohort study of 12 million mother-infant pairs. BMC Medicine 2022;20(4):1-17.
Cunningham FG, Leveno KJ, Bloom SL, Dashe JS, Hoffman BL, Casey BM, Spong CY. Williams obstetrics. 25th ed. New York: Mc Graw Hill Education;2018.
World Health Organization (WHO). Preconception care: maximizing the gains for maternal and child health. 2013:1-7.
Nursing Journal of the Ministry of Public Health 13
NJPH Vol. 34 No. 2 May – August 2024 ISSN 2673-0693
Ajzen I. Constructing a theory of planned behavior questionnaire. TPB Questionnaire Construction.
:1-6.
Goossens J. Preconception health and care: Perspectives from the reproductive-aged population in Flanders [Unpublished dissertation]. Ghent University; 2018.
Kaewpoung S, Deoisres W, Somroop A, Ngamchay C. Factors influencing intention to change preconception lifestyle among reproductive age women. The Journal of Faculty of Nursing Burapha
University 2022;30(2):81-94.(in Thai)
Kaewpoung S, Deoisres W, Suppaseemanont W. Influencing of perception of pregnancy risk, knowledge, and attitude on preconception health behaviors among pregnant women. The Journal of Faculty of Nursing Burapha University 2018;26(2):57-66.(in Thai)
Noor NABM, Bakar RA, Bit-Lian Y. Stress and coping strategies during clinical practices among degree nursing students of a private institution. MJN 2020;11:53-62.
Setegn M. Intention to use and its predictors towards preconception care use among reproductive age women in Southwest Ethiopia, 2020: Application of theory of planned behavior (TPB). International Journal of General Medicine 2021;14:4567-77.
Bixenstine PJ., Cheng TL, Cheng D, Connor KA, Mistry, KB. Association between preconception counseling and folic acid supplementation before pregnancy and reasons for non-use. Matern Child Health J 2015;19(9):1974-84.