印度北方邦东部和西部非怀孕女性贫血的社会流行病学相关性:NFHS-5二级数据分析强调了精确公共政策的必要性。

Public health challenges Pub Date : 2025-08-18 eCollection Date: 2025-09-01 DOI:10.1002/puh2.70102
Sonam Maheshwari, Richa Sinha, Neil Patel, Okashah Kaiwan, Avisham Goyal, Oroshay Kaiwan, Inderbir Padda, Nidhi Uniyal, Mohammed K Suhail, Talha Bin Emran, Nirja Kaka, Yashendra Sethi
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引用次数: 0

摘要

在印度,贫血仍然是一个持续存在的公共卫生挑战,对妇女的影响不成比例,并破坏孕产妇和生殖健康成果。尽管在全国范围内作出了努力,但不同地区的贫血负担仍然存在很大差异,反映出复杂的社会人口决定因素。本研究旨在利用国家家庭健康调查(NFHS-5)的数据,确定印度东、西北方邦(UP)非孕妇贫血的区域特异性危险因素。进行了二次数据分析,以探讨东部和西部北方邦非怀孕女性贫血的社会人口统计学相关性。采用二元和有序逻辑回归模型对各种解释变量进行分析。对于不符合比例赔率假设的变量,将有序变量进行二元分类。发现了贫血相关因素的显著区域差异。在West UP,较高的贫血发生率与农村居住、酗酒相关(比值比[OR] = 1.153; p p p p = 0.012)。在East UP,较高的贫血几率与文盲相关(OR = 1.095; p = 0.010),孩子年龄≤48个月(OR = 1.296; p p p p p = 0.012)。该研究强调了东部和西部北方邦之间贫血的社会流行病学相关性的显著差异。一项普遍的公共卫生政策不足以解决这些差异。相反,有必要针对每个地区的具体需求制定“精准公共政策”,以改善实施和成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Socio-Epidemiological Correlates of Anemia Among Non-Pregnant Females of East and West Uttar Pradesh, India: A NFHS-5 Secondary Data Analysis Highlighting the Need for Precision Public Policy.

Socio-Epidemiological Correlates of Anemia Among Non-Pregnant Females of East and West Uttar Pradesh, India: A NFHS-5 Secondary Data Analysis Highlighting the Need for Precision Public Policy.

Socio-Epidemiological Correlates of Anemia Among Non-Pregnant Females of East and West Uttar Pradesh, India: A NFHS-5 Secondary Data Analysis Highlighting the Need for Precision Public Policy.

Anemia remains a persistent public health challenge in India, disproportionately affecting women and undermining maternal and reproductive health outcomes. Despite nationwide efforts, the burden of anemia continues to vary widely across regions, reflecting complex socio-demographic determinants. This study aims to identify region-specific risk factors for anemia among non-pregnant women in East and West Uttar Pradesh (UP), India, using data from the National Family Health Survey (NFHS-5). A secondary data analysis was conducted to explore socio-demographic correlates of anemia among non-pregnant females in East and West UP. Binary and ordinal logistic regression models were employed to analyze various explanatory variables. For variables not meeting the proportional odds assumptions, ordinal variables were binary categorized. Significant regional differences in the correlates of anemia were identified. In West UP, higher odds of anemia were associated with rural residency, alcoholism (odds ratio [OR] = 1.153; p < 0.01), heart disease (OR = 1.155; p < 0.01), younger age, economic disadvantage, illiteracy (OR = 1.335; p < 0.01), and underweight status (OR = 1.523; p = 0.012). In East UP, higher odds of anemia were associated with illiteracy (OR = 1.095; p = 0.010), having a child aged ≤48 months (OR = 1.296; p < 0.01), breastfeeding (OR = 1.067; p < 0.01), alcoholism (OR = 1.155; p < 0.01), hypertension (OR = 1.502; p < 0.01), and underweight status (OR = 1.523; p = 0.012). The study highlights significant differences in the socio-epidemiological correlates of anemia between East and West UP. A universal public health policy is insufficient to address these disparities. Instead, a "Precision Public Policy" tailored to the specific needs of each region is necessary to improve implementation and outcomes.

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