Lamichhane Bipul, Adhikari Bikram, Poudel Lisasha, Pandey Achyut Raj, Kakchhapati Sampurna, K C Saugat Pratap, Giri Santosh, Dulal Bishnu Prasad, Joshi Deepak, Gautam Ghanshyam, Baral Sushil Chandra
Research and Development Department, HERD International, Lalitpur, Nepal.
Central Department of Public Health Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
PLOS Glob Public Health. 2024 Mar 11;4(3):e0002971. doi: 10.1371/journal.pgph.0002971. eCollection 2024.
Breast cancer screening (BCS) and cervical cancer screening (CCS) are integral parts of initiatives to reduce the burden associated with these diseases. In this context, we aimed to determine factors associated with BCS and CCS uptake among Nepalese women aged 30 to 49 years using data from the Nepal Demographic Health Survey (NDHS) 2022. We performed a weighted analysis to account complex survey design of the NDHS 2022. We employed univariable and multivariable logistic regression to determine factors associated with the uptake of BCS and CCS and results were presented as crude odds ratio and adjusted odds ratio (AOR) along with 95% confidence interval (CI). The uptake of BCS and CCS among Nepalese women aged 30 to 49 years were 6.5% and 11.4% respectively. Women from Terai compared to mountain region (AOR = 0.54, 95%CI: 0.31, 0.93) and those engaged in agriculture compared to non-working (AOR = 0.59, 95%CI: 0.42, 0.82) women had lower odds of BCS uptake. Conversely, Dalit women compared to Brahmin/Chhetri (AOR = 2.08, 95%CI: 1.37, 3.16), and women with basic (AOR = 1.49, 95%CI: 1.04, 2.13), secondary (AOR = 1.96, 95%CI: 1.33, 2.88), and higher education (AOR = 2.80, 95% CI: 1.51, 5.19) compared to those with no education had higher odds of BCS uptake. Women from rural areas (AOR = 0.76, 95%CI: 0.61, 0.96), and those living in Bagmati (AOR = 2.16, 95% CI: 1.44, 3.23) and Gandaki (AOR = 2.09, 95%CI: 1.40, 3.14) provinces had higher odds of CCS uptake compared to their urban counterparts and those living in Koshi province, respectively. The odds of CCS increased with age (AOR = 1.06, 95%CI: 1.04, 1.08). Women with secondary education (AOR = 1.47, 95%CI: 1.06, 2.04) had higher odds of CCS uptake compared to those without education. Similarly, married women (AOR = 8.24, 95%CI: 1.03, 66.21), and those with health insurance (AOR = 1.41, 95%CI: 1.08, 1.83) had higher odds of CCS. In conclusion, the uptake of both BCS and CCS was relatively poor among Nepalese women indicating a need for targeted and tailored intervention to increase BCS and CCS uptake.
乳腺癌筛查（BCS）和宫颈癌筛查（CCS）是减轻这些疾病负担举措的重要组成部分。在此背景下，我们旨在利用2022年尼泊尔人口与健康调查（NDHS）的数据，确定30至49岁尼泊尔女性中与BCS和CCS接受情况相关的因素。我们进行了加权分析，以考虑NDHS 2022的复杂调查设计。我们采用单变量和多变量逻辑回归来确定与BCS和CCS接受情况相关的因素，并将结果表示为粗比值比和调整后的比值比（AOR）以及95%置信区间（CI）。30至49岁尼泊尔女性中BCS和CCS的接受率分别为6.5%和11.4%。与山区女性相比，来自特莱地区的女性（AOR = 0.54，95%CI：0.31，0.93）以及与无工作女性相比从事农业的女性（AOR = 0.59，95%CI：0.42，0.82）接受BCS的几率较低。相反，与婆罗门/切特里种姓女性相比，达利特种姓女性（AOR = 2.08，95%CI：1.37，3.16），以及与未受过教育的女性相比，接受过基础教育（AOR = 1.49，95%CI：1.04，2.13）、中等教育（AOR = 1.96，95%CI：1.33，2.88）和高等教育的女性（AOR = 2.80，95%CI：1.51，5.19）接受BCS的几率较高。与城市女性相比，农村地区的女性（AOR = 0.76，95%CI：0.61，0.96），以及分别与居住在科希省的女性相比，居住在巴格马蒂省（AOR = 2.16，95%CI：1.44，3.23）和甘达基省（AOR = 2.09，95%CI：1.40，3.14）的女性接受CCS的几率较高。CCS的几率随年龄增加而增加（AOR = 1.06，95%CI：1.04，1.08）。与未受过教育的女性相比，接受过中等教育的女性（AOR = 1.47，95%CI：1.06，2.04）接受CCS的几率较高。同样，已婚女性（AOR = 8.24，95%CI：1.03，66.21）以及有医疗保险的女性（AOR = 1.41，95%CI：1.08，1.83）接受CCS的几率较高。总之，尼泊尔女性中BCS和CCS的接受率相对较低，这表明需要进行有针对性和量身定制的干预措施，以提高BCS和CCS的接受率。
