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Journal of Preventive Medicine ; (12): 946-950, 2022.
Article in Chinese | WPRIM | ID: wpr-940876

ABSTRACT

Objective@#To investigate the motivation for weight self-management and analyze its influencing factors among pregnant women in a tertiary hospital in Hohhot City, Inner Mongolia Autonomous Region, so as to provide insights into body weight management during pregnancy. @*Methods@#Pregnant women at ages of 18 years and older that underwent prenatal examinations in a tertiary hospital in Hohhot City from January to March, 2022 were sampled using a convenience sampling method. Subjects' age, height, weight, occupation, residence, monthly household income, history of gestation and childbirth and gestational period were collected, and the motivation for weight self-management was evaluated among pregnant women using a pregnancy weight management protein motivation scale. The factors affecting the motivation for weight self-management were identified among pregnant women using a multivariable linear regression model. @*Results@#Totally 969 pregnant women were recruited, including 841 women at ages of <35 years (86.79%), 780 women with an educational level of diploma and above (80.50%), 794 women living in urban areas (81.94%), 729 primiparas (75.23%), 421 women in the third trimester of gestation (43.45%) and 758 women with pre-pregnancy body mass index (BMI) of <25 kg/m2 (78.22%). The mean score of motivation for weight self-management was 127.53±14.60 among the pregnant women. Multivariable linear regression analysis showed that an educational level of high school and below (β′=-0.201), unemployed/self-employed individuals (β′=-0.077), living in rural areas (β′=-0.059), monthly household income of <10 000 yuan (<5 000 yuan, β′=-0.238; 5 000 to 10 000 yuan, β′=-0.169), in the third trimester of gestation (β′=-0.135), pre-pregnancy BMI of 25 kg/m2 and higher (β′=-0.214) and reduced the motivation for weight self-management among pregnant women.@*Conclusion@#The motivation for weight self-management correlates with gestational period, pre-pregnancy BMI, residence, occupation, educational level and monthly household income among pregnant women.

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