Abandeh Ala'a, Sindiani Amer, Nazzal Mohammad S, Almasri Nihad A, Megdadi Afnan, Morris Linzette, Alshdaifat Eman, Kanaan Saddam F
Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Department of Obstetrics and Gynecology, Jordan University of Science and Technology, Irbid, Jordan.
Int J Womens Health. 2024 Aug 12;16:1377-1387. doi: 10.2147/IJWH.S465872. eCollection 2024.
This study aimed to estimate the prevalence and determine predictors of leg cramps among pregnant women in their third trimester.
A sample of pregnant women in their third trimester who routinely visited local clinics in Jordan was recruited. Participants completed a socio-demographic and clinical characteristics questionnaire, the numeric pain rating scale (NPRS) for leg cramp pain intensity, the Arabic version of the Pregnant Physical Activity Questionnaire (PPAQ), the Nordic Musculoskeletal Questionnaire (NMQ), Short Form Health Survey (SF-12), Pittsburgh Sleep Quality Index (PSQI), and Hospital Anxiety and Depression Scale (HADS). In addition, magnesium (Mg) and calcium (Ca) serum levels were examined. Logistic regression analyses were used to identify predictors of leg cramps occurrence. A linear regression model was used to investigate predictors of leg cramps pain intensity among pregnant women who reported leg cramps.
Two hundred and five (n=205) pregnant women completed the study. The estimated prevalence of leg cramps was 58%. Logistic regression results showed that not receiving assistance with housework (OR 0.46, p=0.025), progress in the number of gestational weeks (OR 1.10, p=0.021), the number of previous pregnancies (OR 1.21, p=0.049), having leg swelling (OR 2.28, p=0.019), and having gastrointestinal (GIT) problems (OR 2.12, P=0.046) were associated with a higher odds of leg cramps occurrence. In the subsample with pregnant women with leg cramps, linear regression results showed that pregnant women with high school education versus elementary school (β=0.70, p=0.012), number of working hours (β=0.11, p=0.010), using vitamins supplements (β=-1.70, p=0.043), having diabetes after pregnancy (β=1.05, p=0.036), having sciatica (β=0.58, p=0.028), having hip pain (β =-.33, p=0.029), and higher PSQI total score (β=0.09, p=0.020) were the significant predictors of leg cramp pain intensity.
Many health-related conditions, as well as work and home-related work characteristics, may be considered risk factors for the occurrence of leg cramps and increased leg cramps pain intensity in pregnancy.
本研究旨在估计孕晚期孕妇腿部抽筋的患病率,并确定其预测因素。
招募了在约旦当地诊所定期就诊的孕晚期孕妇样本。参与者完成了一份社会人口统计学和临床特征问卷、腿部抽筋疼痛强度的数字疼痛评分量表(NPRS)、阿拉伯语版的孕妇身体活动问卷(PPAQ)、北欧肌肉骨骼问卷(NMQ)、简短健康调查问卷(SF - 12)、匹兹堡睡眠质量指数(PSQI)以及医院焦虑抑郁量表(HADS)。此外,还检测了血清镁(Mg)和钙(Ca)水平。采用逻辑回归分析来确定腿部抽筋发生的预测因素。对于报告有腿部抽筋的孕妇,使用线性回归模型来研究腿部抽筋疼痛强度的预测因素。
205名孕妇完成了研究。腿部抽筋的估计患病率为58%。逻辑回归结果显示,不接受家务帮助(比值比[OR] 0.46,p = 0.025)、孕周增加(OR 1.10,p = 0.021)、既往怀孕次数(OR 1.21,p = 0.049)、有腿部肿胀(OR 2.28,p = 0.019)以及有胃肠道(GIT)问题(OR 2.12,P = 0.046)与腿部抽筋发生的较高几率相关。在有腿部抽筋的孕妇子样本中,线性回归结果显示,高中教育程度与小学教育程度的孕妇相比(β = 0.70,p = 0.012)、工作小时数(β = 0.11,p = 0.010)、使用维生素补充剂(β = -1.70,p = 0.043)、产后患糖尿病(β = 1.05,p = 0.036)、有坐骨神经痛(β = 0.58,p = 0.028)、有髋部疼痛(β = -0.33,p = 0.029)以及较高的PSQI总分(β = 0.09,p = 0.020)是腿部抽筋疼痛强度的显著预测因素。
许多与健康相关的状况以及与工作和家庭相关的工作特征,可能被视为孕期腿部抽筋发生及腿部抽筋疼痛强度增加的风险因素。