English 
Spanish 
Chinese 
Russian 
German 
French 
Portuguese 
Hindi 当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
インデックス付き
- 索引コペルニクス
- Google スカラー
- シェルパ・ロミオ
- Genamics JournalSeek
- セーフティライト付き
- Global Online Research in Agriculture (AGORA) へのアクセス
- 国際農業生物科学センター (CABI)
- レフシーク
- ハムダード大学
- エブスコ アリゾナ州
- OCLC-WorldCat
- CABI全文
- キャブダイレクト
- パブロン
- ジュネーブ医学教育研究財団
- ユーロパブ
- ICMJE
役立つリンク
オープンアクセスジャーナル
このページをシェアする
抽象的な
Tracking Progress in Anthropometric Failure among Children in India: A Geospatial Analysis
Singh SK, Purnima Menon, Aditi Chaudary
Background: This paper deals with three key indicators of anthropometric failure viz. stunting, wasting, and underweight, their significant correlates, and spatial dependence across 640 districts of India. The paper uses data from three different rounds of NFHS conducted from 1998 to 2015. The spatial analysis uses district-level information collected first time in NFHS-4 (2015-16).
Methods: Analytical methods used in this paper include multivariate logistic regression to examine the adjusted effects of various predictors and predicted probabilities to explain changes in the likelihood of anthropometric failures over time. Besides, bivariate LISA maps and spatial error models provide spatial dependence and clustering in anthropometric failures among children.
Results: Results highlight that women’s education, maternal nutrition, birth order, birth weight, and the wealth quintiles of households were essential markers of the anthropometric failures among the children. The likelihood of anthropometric failures declined considerably during 1998-2005 in comparison to 2005-15, especially among the children from the wealthiest quintiles. Spatial clustering in the prevalence of anthropometric failures portrayed that Moran’s I values were significant for the utilization of ICDS services and mothers having low BMI. The univariate Moran’s I statistics were 0.62 and 0.72 for stunting and underweight, respectively. When spatial weights were considered, the autoregression model noticeably became stronger in predicting the prevalence of stunting and underweight.
Conclusions: Evidence on significant correlates and spatial dependence of anthropometric failure shed the importance of strengthening multisectoral convergence in various nutrition-specific and nutrition-sensitive interventions in combating the anthropometric failures in the context of nature and patterns emerging in various hotspots and cold spots.