PUBLICATIONS
IFPRI’s South Asia Office produces high quality, evidence-based outputs that contribute to agriculture development, food security, nutrition, and poverty alleviation to the region and beyond. In particular, IFPRI’s policy research has contributed various datasets that have emerged as global public goods, as well as technical reports, peer-reviewed journal articles, book chapters, donor reports, impact assessments, briefs, and more.
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Roy, Shalini; Hidrobo, Melissa; Hoddinott, John F.; Koch, Bastien; Ahmed, Akhter. Madison, WI Article in press
Saxena, Reka; Kumar, Anjani; Singh, Ritambhara; Paul, Ranjit Kumar; Raman, M. S.; Kumar, Rohit; Khan, Mohd Arshad; Agarwal, Priyanka. Article in press
Ambler, Kate; de Brauw, Alan. Article in press
Kosec, Katrina; Mo, Cecilia Hyunjung. Article in press
Kumar, Anjani; Roy, Devesh; Tripathi, Gaurav; Joshi, Pramod Kumar. Article in press
Takeshima, Hiroyuki. Article in press
Elumalai, Kanan; Kumar, Anjani. Article in press
Negi, Digvijay Singh; Kumar, Anjani; Birthal, Pratap Singh; Tripathi, Gaurav. Article in press
Hasan, Md. Rokibul; Islam, Md. Momin; Noor, Farha Musharrat; Ali, Masum; Alam, Md. Mashud . Article in press
Ahmed, Akhter; Coleman, Fiona; Ghostlaw, Julie; Hoddinott, John F.; Menon, Purnima; Parvin, Aklima; Pereira, Audrey; Quisumbing, Agnes R.; Roy, Shalini; Younus, Masuma. Article in Press
Rana, Abdul Wajid; Gill, Sitara; Akram, Iqra. 2024
Rana, Abdul Wajid; Gill, Sitara; Meinzen-Dick, Ruth; ElDidi, Hagar. 2024
Rana, Abdul Wajid; Gill, Sitara; Akram, Iqra. 2024
Kosec, Katrina; Kyle, Jordan; Narayanan, Sudha; Raghunathan, Kalyani; Ray, Soumyajit. 2024
International Food Policy Research Institute. 2024
Natarajan, Kiruthika; Thibbotuwawa, Manoj; Babu, Suresh. 2024
International Food Policy Research Institute. 2024
Kumara T M, Kiran; Birthal, Pratap Singh; Meena, Dinesh Chand; Kumar, Anjani. 2024
Minot, Nicholas; Hossain, Shahadat; Kabir, Razin; Dorosh, Paul A.; Rashid, Shahidur. 2024
Ecker, Olivier; Comstock, Andrew R.; de Brauw, Alan; Diao, Xinshen; Talukder, Md. Ruhul Amin. 2024
Ambler, Kate; Bloem, Jeffrey R.; de Brauw, Alan; Herskowitz, Sylvan; Wagner, Julia. 2024
Bhanjdeo, Arundhita. 2024
Mustafa, Shoumi; Ali, A M M Shawkat; Islam, Kazi Nurul; Dorosh, Paul A.; Rashid, Shahidur; Shaima, Nabila Afrin. 2024
Alam, Md. Monjurul; Kalita, Prasanta Kumar; Saha, Chayan Kumer; Sarkar, Surajit; Winter-Nelson, Alex. 2024
Dorosh, Paul A.; Mustafa, Shoumi; Kabir, Razin Iqbal; Shaima, Nabila Afrin. 2024
Narayanan, Sudha; Hussain, Siraj; Rashid, Shahidur. 2024
Ragasa, Catherine; Kyle, Jordan; Yasmin, Sabina; Pande, Harshita; Basu, Sampurna; Sharma, Aanshi. 2024
HER+ uses impactful gender research to address the four dimensions of gender inequality by applying gender-transformative approaches to address harmful norms. It does this by bundling innovations for women’s empowerment, leveraging social protection to increase women’s access to and control over resources, and promoting inclusive governance and policies for increased resilience. HER+ will generate learning and evidence on levers and entry points to disrupt the foundations of inequality in agrifood systems (AFS).
IFPRI. 2024
Ragasa, Catherine; Kyle, Jordan; Yasmin, Sabina; Pande, Harshita; Basu, Sampurna; Sharma, Aanshi. 2024
HER+ uses impactful gender research to address the four dimensions of gender inequality by applying gender-transformative approaches to address harmful norms. It does this by bundling innovations for women’s empowerment, leveraging social protection to increase women’s access to and control over resources, and promoting inclusive governance and policies for increased resilience. HER+ will generate learning and evidence on levers and entry points to disrupt the foundations of inequality in agrifood systems (AFS).
Koyratty, Nadia; Silva, Renuka; Ranathunga, Thilanka; Olney, Deanna K.. 2024
• Inadequate intake of many micronutrients is common across several population groups in Sri Lanka, indicating low intake of nutrient-dense foods such as F&Vs and animal-source foods. • A diverse diet with adequate intake of nutrient-dense foods should be encouraged to address nutrient gaps among Sri Lankans and reduce the risk of NCDs.
• Many government-issued diet- and nutrition-related policies, strategies, and programs have been adopted in Sri Lanka. However, these often do not place enough emphasis on F&Vs. • While national food based dietary guidelines exist, as well as other guidelines and policies, there is uncertainty about the level of public awareness and the population’s adherence to the recommendations. • Evaluations of diet- and nutrition-related interventions are also scarce, indicating a need for rigorous evidence on what works to help guide programs and policies that aim to improve diet and nutrition outcomes among Sri Lankans.
Ray, Soumyajit; Raghunathan, Kalyani; Bhanjdeo, Arundhita; Heckert, Jessica. 2024
Adong, Annet; Ambler, Kate; Bloem, Jeffrey R.; de Brauw, Alan; Herskowitz, Sylvan; Islam, AHM Saiful; Wagner, Julia. 2024
Banerjee, Archis; Kumar, Neha; Quisumbing, Agnes R.. 2024
Belton, Ben; Breisinger, Clemens; Kassim, Yumna; Pal, Barun Deb; Narayanan, Sudha; Zhang, Xiaobo. 2024
Sharma, Kriti; Kumar, Anjani; Kumar, Nalini Ranjan. 2024
Neupane, Sumanta; Jangid, Manita; Scott, Samuel P.; Kim, Sunny S.; Murira, Zivai; Heidkamp, Rebecca; Carducci, Bianca; Menon, Purnima. 2024
Ahmed, Akhter U.; Hoddinott, John; Roy, Shalini; Sraboni, Esha. 2024
Neufeld, Lynnette M.; Nordhagen, Stella; Leroy, Jef L.; Aberman, Noora-Lisa; Barnett, Inka; Wouabe, Eric Djimeu. 2024
Jian, Junyan. 2024
Kumar, Anjani; Mishra, Ashok K.; Sonkar, Vinay K.; Roy, Devesh. 2024
Kumar, Anjani; Elumalai, K. 2024
Kumar, Anjani; Sen, Biswajit; Saroj, Sunil. 2024
Ali, Masum; Amin, Md. Ruhul; Jarl, Johan; Saha, Sanjib. 2024
Verger, Eric O.; Eymard-Duvernay, Sabrina; Bahya-Batinda, Dang; Hanley-Cook, Giles T.; Argaw, Alemayehu; Becquey, Elodie; Diop, Loty; Gelli, Aulo; Harris-Fry, Helen; Kachwaha, Shivani; Kim, Sunny S.; Nguyen, Phuong Hong; Saville, Naomi M.; Tran, Lan Mai; Zagré, Rock R.; Landais, Edwige; Savy, Mathilde; Martin-Prevel, Yves; Lachat, Carl. 2024
Chowdhury, Shyamal; Bin Khaled, Muhammad Nahian; Mallick, Debdulal; Raghunathan, Kalyani; Rashid, Shahidur. 2024
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra. 2024
ElDidi, Hagar; Rawat, Shivanyaa; Meinzen-Dick, Ruth S.; Chaturvedi, Rahul; Sanil, Richu. 2024
Singh, Shri K.; Chauhan, Alka; Alderman, Harold; Avula, Rasmi; Dwivedi, Laxmi K.; Kapoor, Rati; Meher, Trupti; Menon, Purnima; Nguyen, Phuong; Pedgaonker, Sarang; Puri, Parul; Chakrabarti, Suman. 2024
Ch, Lakshmi Durga; Bharath, Yandrapu; Bliznashka, Lilia; T., Vijay Kumar; Jonnala, Veerendra; Chekka, Vijayalakshmi; Yebushi, Srileka; Roy, Aditi; Venkateshmurthy, Nikhil Srinivasapura; Prabhakaran, Poornima; Jaacks, Lindsay M.. 2024
Methods A cross-sectional assessment was conducted in 2021–2022 of 50 intervention villages where the nutrition-sensitive agroecology program had been implemented since 2018 and 79 control villages where only the agroecology program had been implemented. Data on self-reported dietary intake, caregiver-reported early child development, anthropometric measurements, and hemoglobin concentrations were collected using standardized procedures by trained Nutrition Farming Fellows, who were also responsible for implementing the program.
Results A sample of 3,511 households (1,121 intervention and 2,390 control) participated in the survey. Dietary diversity scores (DDS) among women and men were mean (SD) 6.53 (±1.62) and 6.16 (±1.65), respectively, in intervention villages and 5.81 (±1.58) and 5.39 (±1.61), respectively, in control villages (p<0.01). DDS among children 6–24 months of age in intervention and control villages was 2.99 (±1.52) and 2.73 (±1.62), respectively (p<0.01). Children <2 years of age were less likely to be anemic in intervention versus control villages (59% versus 69%, p<0.01). Children 18–35 months age in intervention villages had higher child development scores than children in control villages (all p<0.05). Conclusion Nutrition-sensitive agroecological programs may be effective in improving diets, nutrition, and child development in rural India.
Chakrabarti, Suman; Ajjampur, Sitara S. R.; Waddington, Hugh Sharma; Kishore, Avinash; Nguyen, Phuong H.; Scott, Samuel. 2024
Islam, Mir Raihanul; Angell, Blake; Naher, Nahitun; Islam, Bushra Zarin; Khan, Mushtaq Husain; McKee, Martin; Hutchinson, Eleanor; Balabanova, Dina; Ahmed, Syed Masud. 2024
Sheikh, Asjad Tariq; Hailu, Atakelty; Mugera, Amin; Pandit, Ram; Davies, Stephen. 2024
Kumar, Anjani; Mishra, Ashok K.; Signh, A. K.; Saroj, Sunil; Madhaven, Misha; Joshi, Pramod Kumar. 2024
Chakrabarti, Suman; Christopher, Anita; Scott, Samuel P.; Kishore, Avinash; Nguyen, Phuong H.. 2024
Methods Data from the Indian National Family Health Surveys (2005–06, 2015–16, 2019–21), Annual Health Survey (2013), and District Level Household Survey (2012), were used to conduct difference-in-differences (DID) analysis, comparing Bihar (n = 10,733 men, n = 88,188 women) and neighbouring states (n = 38,674 men, n = 284,820 women) before and after the ban. Outcomes included frequent (daily or weekly) alcohol consumption, underweight, obesity, hypertension, diabetes, and intimate partner violence. A triple difference model adding male–female interaction to the DID model was also estimated. Attributable averted cases were calculated to estimate the impact of the ban.
Sanil, Richu; Falk, Thomas; Meinzen-Dick, Ruth S.; Priyadarshini, Pratiti. 2024
Nguyen, Phuong; Mai, Lan T.; Kachwaha, Shivani; Sanghvi, Tina; Mahmud, Zeba; Zafimanjaka, Maurice G.; Walissa, Tamirat; Ghosh, Sebanti; Kim, Sunny S.. 2024
Takeshima, Hiroyuki; Kishore, Avinash; Kumar, Anjani. 2024
Singh, Tushar; Kishore, Avinash; Alvi, Muzna. 2024
Beniwal, Ezaboo; Kishore, Avinash. 2024
Tauseef, Salauddin; Sufian, Farha Deba. 2024
Kumar, Neha; Raghunathan, Kalyani; Quisumbing, Agnes R.; Scott, Samuel P.; Menon, Purnima; Thai, Giang; Gupta, Shivani; Nichols, Carly; WINGS study team. 2024
Singh, Arshdeep; Arora, Kashish; Babu, Suresh Chandra. 2024
Andrabi, Tahir; Bau, Natalie; Das, Jishnu; Karachiwalla, Naureen; Khwaja, Asim Ijaz. 2024
Patwardhan, Sharvari; Kapoor, Rati; Scott, Samuel; Nguyen, Phuong Hong; Chamois, Sylvie; Singh, S.K.; Dwivedi, L.K.; Pedgaonkar, Sarang; Puri, Parul; Chauhan, Alka; Laxmaiah, Avula; Menon, Purnima . New Delhi, India 2023
MEASUREMENT| NFHS asks women (15-49 years) and men (15-54 years) how frequently (daily, weekly, occasionally or never) they consume nine food groups including two unhealthy food groups (Figure 1). The 2020 Nutrient Requirements for Indiansoutlines the quantity per day of vegetarian foods to be consumed as part of a balanced diet (ICMR-NIN, 2020). The guidelines indicate that pulses can be replaced with animal-source foods for non-vegetarians. Thus, for this Data Note we constructed an additional indicator –daily consumption of pulses or egg or fish or chicken or meat –to estimate any protein consumption (Figure 1). Estimates are first presented at the national levelto provide an overall view of how diets have changed from 2005-06 to 2019-21. On subsequent pages, we show trends between 2015-16 and 2019-21 by stateand district.
USE| This data note provides a broad view of diet patterns among adults and should be used for further inquiry by stakeholders including researchers, policymakers, and program staff at multiple levels. We recognize that NFHS is not a detailed dietary survey and does not ask about individual food items or the quantity of food consumed. Thus, this data note should be used as a starting point for discussion and to identify major areas of improvement in consumption and measurement.
Toori, Shafaq; Akram, Iqra; Qureshi, Tehseen Ahmed; Tauqir, Aisha; Raja, Sehrish; Gill, Sitara; Rana, Abdul Wajid. Washington, DC 2023
This paper is organized as follows. The first section presents an overview of Balochistan province of Pakistan. The second Section highlights the background of Social Accounting Matrix and its key features. The third section review the literature and various efforts made to develop Pakistan SAM with varying features. The fourth section describes the process and the methodology used to develop SAM. The fifth section presents the structure of Balochistan SAM, accounts, and data sources and elaborates the process and techniques used to balance Balochistan SAM. The sixth section highlights the structure of Balochistan’s economy and an evaluation of value addition. The seventh section underscores the key findings of Balochistan SAM. The final section underlines how the SAM Balochistan can contribute to evidence-based policy making that helps in economic growth and reducing poverty in Balochistan.
ElDidi, Hagar; Khurana, Ritika; Zhang, Wei; Jadav, Maheshkumar Kalidas; Guha, Chiranjit; Priyadarshini, Pratiti; Guo, Zhe; Sandhu, Harpinder; Nagendra, Harini; Meinzen-Dick, Ruth Suseela. Washington, DC 2023
Takeshima, Hiroyuki; Saroj, Sunil; Kumar, Anjani. Washington, DC 2023
Gune, Soyra; Christopher, Anita; Scott, Samuel; Nguyen, Phuong Hong; Joe, William; Singh, S. K.; Dwivedi, L. K.; Pedgaonkar, Sarang; Puri, Parul; Chauhan, Alka; Yadav, Kapil; Chamois, Sylvie . New Delhi, India 2023
Christopher, Anita; Gune, Soyra; Avula, Rasmi; Nguyen, Phuong Hong; Menon, Purnima; Singh, S. K.; Dwivedi, L. K.; Pedgaonkar, Sarang; Puri, Parul; Chauhan, Alka; . New Delhi, India 2023
Kapoor, Rati; Singh, Nishmeet; Nguyen, Phuong Hong; Singh, S. K. ; Dwivedi, L. K.; Pedgaonkar, Sarang; Puri, Parul; Chauhan, Alka; Khandelwal, Shweta; Chamois, Sylvie. New Delhi, India 2023
Thibbotuwawa, Manoj; Dissanayake, Nimesha; Niwarthana, Sachini. Washington, DC 2023
Ecker, Olivier; Alderman, Harold; Comstock, Andrew R.; Headey, Derek D.; Mahrt, Kristi; Pradesha, Angga. Washington, DC 2023
Ecker, Olivier; Alderman, Harold; Comstock, Andrew R.; Headey, Derek D.; Mahrt, Kristi; Pradesha, Angga. Washington, DC 2023
In this study, we examine the effects of stylized economic shocks on household incomes in Bangladesh, Myanmar, and Indonesia, with a focus on the difference between recommended and actual consumption of particular foods and nutrients. To this end, we use a novel combination of three integrated models to examine impacts and experiment with different types of social protection interventions. In Bangladesh and Indonesia, these are stylized models of the COVID-19 shock and government lock-downs; in Myanmar, however, we model the economic instability that took place after the February 2021 military takeover, which – in conjunction with COVID-19 impacts – resulted in an estimated 18 percent contraction in GDP (World Bank 2022).
Aragie, Emerta; Pauw, Karl; Thurlow, James. Washington, DC 2023
Malapit, Hazel J.; Heckert, Jessica; Adegbola, Patrice Ygué; Crinot, Geraud Fabrice; Eissler, Sarah; Faas, Simone; Gantoli, Geoffroy; Kalagho, Kenan; Martinez, Elena; Meinzen-Dick, Ruth Suseela; Mswero, Grace; Myers, Emily; Mzungu, Diston; Pereira, Audrey; Pinkstaff, Crossley; Quisumbing, Agnes R.; Ragasa, Catherine; Rubin, Deborah; Seymour, Greg; Tauseef, Salauddin; GAAP2 Market Inclusion Study Team. Washington, DC 2023
Government of Odisha; International Food Policy Research Institute (IFPRI). Washington, DC 2023
Headey, Derek D.; Bachewe, Fantu Nisrane; Marshall, Quinn; Raghunathan, Kalyani; Mahrt, Kristi. 2023
Kamar, Abul; Roy, Devesh. Washington, DC 2023
in intra-regional trade among BIMSTEC member countries. Importantly the low share of intra BIMSTEC trade is not due to greater integration with supra-BIMSTEC partners. This policy note seeks to spell out some of the key agricultural trade policy-related challenges in the BIMSTEC region and their implications for economic integration in the area.
Nair, Sapna; Ashok, Sattvika; Menon, Purnima; Avula, Rasmi. New Delhi, India 2023
Ahmed, Akhter; Bakhtiar, M. Mehrab; Quisumbing, Agnes R.; Malapit, Hazel J.; Ghostlaw, Julie. Washington, DC 2023
Saroj, Sunil; Roy, Devesh; Kamar, Abul; Pradhan, Mamata. Washington, DC 2023
The innovations in international trade literature that explains both the emergence as well as levels and the nature of trade flows through value chain integration necessitates examining trade-based exchanges at the highest possible levels of product disaggregation. Developments in trade theory emphasize that it is individual firms not countries that trade and analysis needs to incorporate firm characteristics in decisions and ability for exporting and importing. Firms are the appropriate unit of analysis for trade flows. It helps several paradoxes once the import of firm heterogeneity is understood.
Despite the substantive importance of granular level data and the significant level of disaggregated product-level bilateral trade flow data and enhanced computing power that are becoming available, most studies have tended to rely on analysis with high level of aggregation. Recent research on firm heterogeneity in international trade highlights the importance of extensive margins i.e., new products, new partners, new varieties, and cumulative of these i.e., new prices in trade patterns and firms' responses to trade liberalization and other policy changes. However, the high dimensionality of the data and the large number of responses to changes can easily overwhelm researchers. Additionally, bigger data sets may contain more noise, which can mask important systematic patterns. In analysis of trade flows, notwithstanding the rising incidence of differentiated products (varieties) and value chains that transcend national boundaries, methods in agri-food trade analysis in particular have not kept pace in terms of empirical methods and suitable data.
Khatun, Wajiha; Fakhry, Hager; Herens, Marion. Washington, DC 2023
In addition, the SHiFT country engagement approach is looking to connect with and strengthen existing stakeholder (coordination) mechanisms or platforms in food system transformation rather than establish new collaborative structures. Applying a stakeholder platform mapping tool to detect (coordination) structures engaged around food system issues, existing platforms, and networks are identified.
Alvi, Muzna; Ratna, Muzna; Sufian, Farha; Khan, Mohidul Hoque; Ringler, Claudia. London, England; Washington, DC 2023
International Food Policy Research Institute (IFPRI). Washington, DC 2023
International Food Policy Research Institute (IFPRI). Washington, DC 2023
Avula, Rasmi, ed.. New Delhi, India 2023
Chowdhury, Tahreen Tahrima; Dorosh, Paul A.; Islam, Rizwana; Pradesha, Angga. Washington, DC 2023
Adhikari, Roshan; Kramer, Berber; Ward, Patrick S.; Foster, Timothy; Sharma, Varun; Gaur, Pushkar; Pattnaik, Subhransu. Washington, DC 2023
- Using a survey with 900 men and women farmers in Odisha, India, we find that women and men have similar farming practices and input use in general, but women face more difficulties in hiring labor and transplant rice later than men.
- Using biophysical crop models, we show that this delay in transplanting lowers expected yields and increases risk exposure for women farmers.
- Direct-seeded rice (DSR) is a promising alternative method for establishing rice that can help to mitigate the risks posed by climate change. Our findings indicate DSR is especially beneficial for women farmers.
- Gender-responsive policies are needed to ensure that women farmers have equitable access to agricultural insurance and risk-reducing technologies.
Nassif, Gabriella; Bhuiyan, Muhammad Mahbubul; Zahir, Md; Abdulrahim, Sawsan; Ringler, Claudia. Washington, DC 2023
Mamun, Abdullah; Glauber, Joseph W.; Laborde Debucquet, David. Washington, DC 2023
The conflict threatens Bangladesh’s recent progress on this front. With a population of 165 million in 2021 — with 38% employed by the griculture and fisheries sector — and a growing economy, the country’s undernourished population declined from a high of 16% in 2000 to as low as 9.7% in 2019. While the COVID-19 pandemic increased food insecurity, by some measures the country proved relatively resilient: According to an IFPRI study, the proportion of rural households facing moderate or severe food insecurity rose from 15% in early 2020 to 45% in January 2021, then returned to pre-pandemic levels by the end of 2021.
Diao, Xinshen; Ellis, Mia; Pauw, Karl; Pradesha, Angga; Randriamamonjy, Josee; Thurlow, James. Washington, DC 2023
Xinshen Diao; Ellis, Mia; Fang, Peixun; Pauw, Karl; Pradesha, Angga; Thurlow, James. Washington, DC 2023
Avula, Rasmi, ed.. New Delhi, India 2023
Pant, Anjali; Patwardhan, Sharvari; Nguyen, Phuong Hong; Scott, Samuel; Avula, Rasmi; Hemalatha, R.; Singh, S.K.; Chamois, Sylvie; Menon, Purnima. New Delhi, India 2023
Ray, Soumyajit; Ashok, Sattvika; Avula, Rasmi; Nguyen, Phuong Hong; Hemalatha, R.; Singh, S. K.; Chamois, Sylvie; Menon, Purnima. New Delhi, India 2023
Rana, Abdul Wajid; ul Haq, Zahoor; Iqbal, Javed; Shazad, Muhammad Faisal; Haider, Syed Zeeshan. Washington, DC; Mardan, Pakistan 2023
De Groote, Bram; Olaerts, Astrid; Herens, Marion; Dengerink, Just; Namugumya Shenute, Brenda; ten Hove, Hermine. Washington, DC 2023
Kabir, Razin Iqbal; Narayanan, Sudha; Belton, Ben; Hernandez, Ricardo; Haque, Mohammad Mahfujul. Washington, DC 2023
The complex nature of shrimp supply chains in Bangladesh, comprised of hundreds of thousands of small polyculture farms and tens of thousands of small traders, make it difficult to implement tracea bility and certification initiatives – now a prerequisite for entry into most supermarket supply chains.
This report provides an overview of the sector and the challenges it faces, drawing on secondary and survey data, reviews of government reports and academic literature. We also report the findings of an expert consultation conducted to identify key constraints and potential solutions.
The consensus among industry stakeholders who were part of the expert consultations is that issues related to the supply and quality of shrimp seed and pond management practices represent some of the most pressing, yet relatively simple-to-solve challenges currently faced by the sector. This would serve as the foundation for establishing traceability and certification processes. Previous interventions aimed at upgrading production practices (such as promoting stocking of disease-free shrimp seed) and facilitating disintermediation and transparency in the supply chain (such as by establishing producer groups, shrimp collection centers, and contracts with processors), have met with limited success. We outline potential interventions and partners that might offer scalable solutions enabling small shrimp farmers to access global markets.
Kamar, Abul; Roy, Devesh; Pradhan, Mamata; Saroj, Sunil. Washington, DC 2023
Trade moves food from surplus to deficit regions and hence is crucial for maintaining a stable food supply. Historically, the global supply of cereals has been stable (Bradford et al. 2022); this implies that trade (or the lack of it) can be directly mapped onto area-specific food insecurity. At the same time, shocks leading to trade disruption can pose serious challenges, particularly for countries with high import penetration in food.
Sufian, Farha D.; Nico, Gianluigi; Azzarri, Carlo. Washington, DC 2023
Gómez, Eduardo J.. Washington, DC; Oxford, UK 2023
Barrett, Christopher B.. Washington, DC; Oxford, UK 2023
Alvi, Muzna; Barooah, Prapti; Gupta, Shweta; Saini, Smriti. Washington, DC 2023
Magalhaes, Marilia; Kawerau, Laura; Kweyu, Janerose; Pathak, Vishak. Washington, DC 2023
Welk, Lukas; Barooah, Prapti; Kato, Edward; Ndegwa, Michael K.. Washington, DC 2023
Welk, Lukas. Washington, DC 2023
Carrillo, Lucia; Meinzen-Dick, Ruth Suseela; Priyadarshini, Pratiti; Sanil, Richu. New Delhi, India 2023
Kosec, Katrina; Kyle, Jordan; Narayanan, Sudha; Raghunathan, Kalyani. Washington, DC 2023
Heckert, Jessica; Raghunathan, Kalyani; Myers, Emily; Ramani, Gayathri V.; Faas, Simone; Ferguson, Nathaniel; Seymour, Greg; Malapit, Hazel J.; Paz, Flor; Chiwasa, Febbie; Chilalika, Joan; Kamwaba-Mtethiwa, Jean; Chirwa, Gowokani Chijere; Simkoko, Abigail; Chilungo, Abdallah; Upadhyaya, Rachana; Pradhan, Meeta S.; Joshi, Nira; Shrestha, Sanish. Washington, DC 2023
Pradhan, Mamata; Palikhe, Aruna; Maharajan, Nanda; Adhikari, Madan; Pandey, Meena; Gupta, Shalini; Mohan, Anisha. New Delhi, India 2023
However, the Coronavirus disease 2019 (COVID-19) pandemic, climate change, and international conflicts have significantly hampered the achievement of Sustainable Development Goals (SDGs). As a result, the USG has developed the Global Food Security Strategy Refresh (GFSS-R) 2022–2026 that emphasizes the following five new areas of focus:
1. Equity and inclusion
2. An ambitious approach to climate change
3. Countering the long-term impacts of COVID-19
4. Employing systems thinking and working across the food system
5. Integration of conflict management, peacebuilding, and social cohesion
This strategy refresh has significant implications for the Feed the Future initiative; therefore, all Feed the Future countries have now embarked on refreshing the country strategy to incorporate new programs and initiatives aligning with the GFSS-R. The strategy involves implementing a multi-faceted whole-of-government approach, assignment of ownership, and empowerment of country leadership to lead and guide the efforts for progress. The strategy refresh invokes partnership with a wide range of stakeholders, and harnesses the advancement of science, technology, and innovation to achieve these objectives. The Feed the Future interventions in Nepal ensured a very close partnership with the Government of Nepal and emphasized greater involvement of the private sector. Nepal is one of the oldest and most successful Feed the Future countries. Although efforts have been made to ensure food security in Nepal, the country still faces nutritional deficiency. Agricultural productivity in Nepal is comparatively low, and most of the farmers are still engaged in subsistence farming. Further, Nepal is highly vulnerable to climate change, natural disasters, pests, and diseases, exacerbating food insecurity leading to the prevalence of nutrition deficiencies, especially among marginalized populations who rely heavily on agriculture for their livelihoods. The USAID mission in Nepal commissioned the IFPRI to support the drafting of the new GFSS Nepal Country Plan. In this regard, provincial consultation workshop has been planned in collaboration with IIDS to generate constructive ideas and feedback on the past and existing interventions implemented in Nepal under Feed the Future and identify a way forward for strengthening and leveraging food and agriculture system transformation in Nepal.
Onta, Karuna; Pradhan, Mamata; Palikhe, Aruna; Maharjan, Nada; Mohan, Anisha. New Delhi, India 2023
Akber, Nusrat; Kumar, Anjani; Bathla, Seema. Washington, DC 2023
Kosec, Katrina; Mo, Cecilia Hyunjung; You, Soosun; Boittin, Margaret. Washington, DC 2023
Barooah, Prapti; Alvi, Muzna; Ringler, Claudia. Washington, DC 2023
Kannan, Elumalai; Kumar, Anjani. Washington, DC 2023
Aladesuru, Damilola; Kasule, James Billy; Joshi, Garima. Washington, DC 2023
Pal, Barun Deb; Ajmani, Manmeet; Thurlow, James; Pauw, Karl. Washington, DC 2023
Pal, Barun Deb; Ajmani, Manmeet; Thurlow, James; Pauw, Karl. Washington, DC 2023
Pal, Barun Deb; Ajmani, Manmeet; Thurlow, James; Pauw, Karl. Washington, DC 2023
Akbar, Nusrat; Kumar, Anjani. New Delhi, India 2023
Ambler, Kate; Bakhtiar, M. Mehrab; de Brauw, Alan; Uddin, Mohammad Riad. Washington, DC 2023
Microfinance has emerged as a crucial intervention in bridging this gap. However, the fixed and rigid repayment structures of microfinance institutions (MFIs) often clash with the seasonal nature of agricul tural production. This mismatch creates financial strain for farmers, who must manage cash flows that are inherently unpredictable due to factors like weather variability and market fluctuations. These challenges underscore the need for more flexible and tailored financial solutions.
Coleman, Fiona M.; Ahmed, Akhter; Roy, Shalini; Hoddinott, John. Washington, DC 2023
Ambler, Kate; Bloem, Jeffrey R.; de Brauw, Alan; Islam, Saiful; Wagner, Julia. Washington, DC 2023
Rwamigisa, Patience B.; Namyenya, Angella; Butele, Cosmas Alfred; Shah, Mansi; Githuku, Fridah; Njung’e, Dennis. Washington, DC 2023
Dorosh, Paul A.; Diao, Xinshen; Thurlow, James; Koirala, Pankaj; Timsina, Krishna; Krupnik, Timothy J.. Kathmandu, Nepal 2023
Sufian, Farha D.; Alvi, Muzna Fatima; Ratna, Nazmun N.; Ringler, Claudia; Choudhury, Zahid ul Arefin. Washington, DC 2023
Davies, Stephen; Akram, Iqra; Ali, Muhammad Tahir; Hafeez, Mohsin; Ringler, Claudia. Washington, DC 2023
Singh, Tushar; Kishore, Avinash; Alvi, Muzna. Washington, DC 2023
Hoddinott, John; Ahmed, Akhter; Quisumbing, Agnes R.; Rakshit, Deboleena. Washington, DC 2023
Edmonds, Eric; Feigenberg, Ben; Leight, Jessica. 2023
Burkitbayeva, Saule; Janssen, Emma; Swinnen, Johan. 2023
Kumar, Anjani; Sonkar, Vinay Kumar; S., Aditya K.. 2023
Kumar, Anjani; Verma, Smriti; Saroj, Sunil; Prasad, Amit Mohan; Kishore, Avinash. 2023
Aggarwal, Nidhi; Narayanan, Sudha. 2023
Jha, Chandan Kumar; Ghosh, Ranjan Kumar; Saxena, Satyam; Singh, Vartika; Mosnier, Aline; Guzman, Katya Perez; Stevanović, Miodrag; Popp, Alexander; Lotze-Campen, Hermann. 2023
Kumar, Shalander; Patan, Elias Khan; Pal, Barun Deb. 2023
Patwardhan, Shavari; Tasciotti, Luca. 2023
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra; Shrestha, Bhola. 2023
Methods: A planned nutrition intervention could not be implemented due to Covid restrictions. However, three surveys (pre-Covid [December 2019], July 2021, and September 2021) in 280 Nepali households (309 parent-dyads, 368 children, 6-66 months old) collected demographics, child anthropometry and development (Ages and Stages Questionnaire-3 [ASQ-3]), and home child-rearing quality (caregiver engagement, learning resources, adult supervision [UNICEF’s Multiple Indicator Cluster Survey]). Mixed-effect regression models adjusted for household (wealth, maternal education) and child factors (age, gender) and survey round.
Results: Height, mid-upper-arm and head circumference measurements improved over time. Total ASQ-3 score did not change: communication scores increased while fine motor and personal-social scores declined. Girls’ growth and development worsened more than boys. Caregiver engagement (especially mothers’) generally declined, but learning resource availability increased. More children were left unsupervised at Round 2 than Round 1 or 3.
Conclusions: In this sample, some aspects of child growth, development, and home child-rearing quality improved while others declined. Better understanding of these changes in child well-being and the family environment during the pandemic could provide insight on how to protect children during future crises.
Lecoutere, Els; van den Berg, Marrit; de Brauw, Alan. 2023
Suhardiman, Diana; Raut, Manita; Pradhan, Prachanda; Meinzen-Dick, Ruth Suseela. 2023
Tinarwo, Joseph; Babu, Suresh Chandra. 2023
Heckert, Jessica; Martinez, Elena M.; Seymour, Greg; Pereira, Audrey; Roy, Shalini; Kim, Sunny S.; Malapit, Hazel J.. 2023
Raghunathan, Kalyani; Kumar, Neha; Gupta, Shivani; Thai, Giang; Scott, Samuel; Choudhury, Avijit; Khetan, Madhu; Menon, Purnima; Quisumbing, Agnes R.. 2023
Gupta, Manavi; Kishore, Avinash; Roy, Devesh; Saroj, Sunil. 2023
Patra, Nirmal K.; Babu, Suresh Chandra. 2023
Herrington, Caitlin; Maredia, Mywish K.; Ortega, David L.; Taleon, Victor; Birol, Ekin; Sarkar, Md Abdur Rouf; Rahaman, Md Shajedur. 2023
Tsakirpaloglou, Nikolaos; Bueno-Mota, Gela; Soriano, Jessica Candace; Arcillas, Erwin; Yu, Su-May, Bouis, Howarth; Arines, Felichi Mae; Stangoulis, James; Trijatmiko, Kurniawan Rudi; Reinke, Russell; Tohme, Joseph; Slamet-Loedin, Inez H.. 2023
Karyadi, Elvina; Reddy, J. C.; Dearden, Kirk A.; Purwanti, Tutut; Asri, Eriana; Roquero, Loreto B.; Juguan, Jocelyn A.; Sapitula-Evidente, Anjali; Alam, M. K.; Das, Susmita; Nair, Gopa K.; Srivastava, Anuj; Raut, Manoj K.. 2023
Kim, Sunny S.; Ashok, Sattvika; Avula, Rasmi; Mahapatra, Tanmay; Gokhale, Priya; Walton, Shelley; Heidkamp, Rebecca; Munos, Melinda. 2023
Objectives: We examined the validity of maternal report of IYCF counseling received during community-based contacts and factors associated with reporting accuracy.
Methods: Direct observations of home visits conducted by community workers in 40 villages in Bihar, India, served as the “gold standard” to maternal report of IYCF counseling received during 2-week follow-up surveys (n=444 mothers with children less than 1 year of age, interviews matched to direct observations). Individual-level validity was assessed by calculating sensitivity, specificity, and area under ROC curve (AUC). Population-level bias was measured using the inflation factor (IF). Multivariable regression models were used to examine factors associated with response accuracy.
Results: Prevalence of IYCF counseling during home visits was very high (90.1%). Maternal report of any IYCF counseling received in the past 2 weeks was moderate (AUC=0.60, 95% CI: 0.52, 0.67), and population bias was low (IF=0.90). However, recall of specific counseling messages varied. Maternal report of any breastfeeding, exclusive breastfeeding, and dietary diversity messages had moderate validity (AUC>0.60), but other child feeding messages had low individual validity. Child age, maternal age, maternal education, mental stress, and social desirability were associated with reporting accuracy of multiple indicators.
Conclusions: Validity of IYCF counseling coverage was moderate for several key indicators. IYCF counseling is an information-based intervention that may be received from various sources, and it may be challenging to achieve higher reporting accuracy over a longer recall period. We consider the modest validity results as positive and suggest that these coverage indicators may be useful for measuring coverage and tracking progress over time.
Babu, Suresh Chandra; Zhou, Yuan. 2023
Indian policies related to youth entrepreneurship have evolved rapidly over the past decade. It is a recognition that the youth force, particularly in agriculture and allied sectors, is key to the effective inclusiveness and engagement of youth and women in improving the livelihood and long-term transformation of the agriculture sector. Further, given the recent policy reforms and the associated challenges, studying opportunities for youth in the agriculture sector becomes paramount to guiding the policy and program implementation process from the youth entrepreneurial perspective.
Indian policymakers operating in the agricultural and rural development sectors recognize youth entrepreneurship as a critical driver for transforming these sectors. Policy and program interventions at the national level reflect this recognition. Recent economic growth in the last two decades in India has also brought the needed preconditions for youth entrepreneurship. Yet the challenges for entering business opportunities for youth in agriculture remain. There are several structural constraints related to access to technology, finance, institutional support, market access, and business mentorship. These challenges are accentuated further by the needed skills and experience relevant for initiating and running businesses, which remain a significant challenge for the youth in rural India.
Falk, Thomas; Zhang, Wei; Meinzen-Dick, Ruth Suseela; Bartels, Lara; Sanil, Richu; Priyadarshini, Pratiti; Soliev, Ilkhom. 2023
Kabir, Razin; Bin Khaled, Muhammad Nahian; Narayanan, Sudha; Rashid, Shahidur. 2023
Aditi, Kumari; Abbhishek, Kumar; Chander, Girish; Singh, Ajay; Falk, Thomas; Mequanint, Melesse B.; Cuba, Perumal; Anupama, G.; Mandpati, Roja; Nagaraji, Satish. 2023
Qureshy, Lubina Fatimah; Alderman, Harold; Manchanda, Navneet. 2023
Kosec, Katrina; Mo, Cecilia Hyungjung. 2023
Trust in government is essential for a functioning democracy. It is also critical for the economy - for example, Fukuyama (1996) highlights how social trust plays a role equal to that of physical capital in determining economic prosperity. Governments often address poverty and inequality through redistributive social protection programmes, including cash transfer programmes. Can such programmes foster trust in government amid increasing inequality? Evans et al. (2019) show that they can increase trust in leaders and perceptions of leaders’ responsiveness and honesty among recipients. But the empirical evidence is mixed, and other studies show that this does not occur consistently (Freeland 2007, Ellis and Faricy 2011, Zucco 2013).
Understanding of how economic welfare affects political attitudes and behaviour continues to evolve. Classical economic voting theory focuses on absolute welfare, holding that citizens reward the government for good economic outcomes and punish it for bad ones. However, an emerging literature in political science suggests that perceived relative wellbeing – how people see themselves compared with others – is also important in shaping citizens’ assessments of their political leaders and institutions.
In Kosec and Mo (2023), we studied how Pakistan’s national unconditional cash transfer programme, the Benazir Income Support Programme (BISP), affected political attitudes. Specifically, we considered that cash from the government might have different effects on its recipients according to how economically well off they felt relative to others (and thus presumably how in need and deserving of a cash transfer they felt).
Ecker, Olivier; Alderman, Harold; Comstock, Andrew R.; Headey, Derek D.; Mahrt, Kristi; Pradesha, Angga. 2023
Dorosh, Paul A.; Pauw, Karl; Pradesha, Angga; Thurlow, James. 2023
Seager, Jennifer; Baird, Sarah; Kalow, Jared; Tauseef, Salauddin. 2023
Owais, Aatekah; Rizvi, Arjumand; Jawwad, Muhammad; Horton, Susan; Das, Jai K.; Merritt, Catherine; Moreno, Ralfh; Asfaw, Atnafu G.; Rutter, Paul; Nguyen, Phuong Hong; Menon, Purnima; Bhutta, Zulfiqar A.. 2023
Kim, Sunny S.; Ashok, Sattvika; Avula, Rasmi; Mahapatra, Tanmay; Gokhale, Priya; Walton, Shelley; Heidkamp, Rebecca A.; Munos, Melinda K.. 2023
Counseling on infant and young child feeding (IYCF) to support optimal breastfeeding and complementary feeding practices is an essential intervention, and accurate coverage data is needed to identify gaps and monitor progress. However, coverage information captured during household surveys has not yet been validated.
Objectives
We examined the validity of maternal reports of IYCF counseling received during community-based contacts and factors associated with reporting accuracy.
Methods
Direct observations of home visits conducted by community workers in 40 villages in Bihar, India served as the “gold standard” to maternal reports of IYCF counseling received during 2-wk follow-up surveys (n = 444 mothers with children less than 1 y of age, interviews matched to direct observations). Individual-level validity was assessed by calculating sensitivity, specificity, and AUC. Population-level bias was measured using the inflation factor (IF). Multivariable regression models were used to examine factors associated with response accuracy.
Results
Prevalence of IYCF counseling during home visits was very high (90.1%). Maternal report of any IYCF counseling received in the past 2 wk was moderate (AUC: 0.60; 95% CI: 0.52, 0.67), and population bias was low (IF = 0.90). However, the recall of specific counseling messages varied. Maternal report of any breastfeeding, exclusive breastfeeding, and dietary diversity messages had moderate validity (AUC > 0.60), but other child feeding messages had low individual validity. Child age, maternal age, maternal education, mental stress, and social desirability were associated with reporting accuracy of multiple indicators.
Conclusions
Validity of IYCF counseling coverage was moderate for several key indicators. IYCF counseling is an information-based intervention that may be received from various sources, and it may be challenging to achieve higher reporting accuracy over a longer recall period. We consider the modest validity results as positive and suggest that these coverage indicators may be useful for measuring coverage and tracking progress over time.
Raghunathan, Kalyani; Kumar, Neha; Gupta, Shivani; Chauhan, Tarana; Kathuria, Ashi Kohli; Menon, Purnima. 2023
Quisumbing, Agnes; Gerli, Beatrice; Faas, Simone; Heckert, Jessica; Malapit, Hazel; McCarron, Catherine; Meinzen-Dick, Ruth; Paz, Florencia. 2023
Kosec, Katrina; Laderach, Peter; and Ruckstuhl, Sandra. 2023
Ahmed, Akhter; Bakhtiar, M. Mehrab; Gilligan, Daniel O.; Hoddinott, John F.; Roy, Shalini. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Narayanan, Sudha; Parmar, Milee; Pandey, Ritesh . London, United Kingdom 2023
Bliznashka, Lilia; Roy, Aditi; Christiani, David C.; Calafat, Antonia M.; Ospina, Maria; Diao, Nancy; Mazumdar, Maitreyi; Jaacks, Lindsay M.. 2023
Methods: We used data from 284 mother-child pairs participating in a birth cohort established in 2008. Eight urinary pesticide biomarkers were quantified in early pregnancy (mean gestational age 11.6±2.9 weeks) as an index of pesticide exposure. The Bayley Scales of Infant and Toddler Development, Third Edition were administered at 20–40 months of age. Associations between creatinine-adjusted urinary pesticide biomarker concentrations and child development scores were estimated using multivariable generalised linear models. We searched ten databases up to November 2021 to identify prospective studies on pregnancy pesticide exposure and child development conducted in LMICs. We used a random-effects model to pool similar studies, including our original analysis. The systematic review was pre-registered with PROSPERO: CRD42021292919.
Results: In the Bangladesh cohort, pregnancy 2-isopropyl-4-methyl-6-hydroxypyrimidine (IMPY) concentrations were inversely associated with motor development (-0.66 points [95% CI -1.23, -0.09]). Pregnancy 3,5,6-trichloro-2-pyridinol (TCPY) concentrations were inversely associated with cognitive development, but the association was small: -0.02 points (-0.04, 0.01). We observed no associations between 4-nitrophenol and 3-phenoxybenzoic acid (3-PBA) concentrations and child development. The systematic review included 13 studies from four LMICs. After pooling our results with one other study, we found consistent evidence that pregnancy 3-PBA concentrations were not associated with cognitive, language, or motor development.
Conclusion: Evidence suggests that pregnancy exposure to some organophosphate pesticides is negatively associated with child development. Interventions to reduce in-utero pesticide exposure in LMICs may help protect child development.
Mothkoor, Venugopal; Reddy, Murali; Koganti, Dharani. Montpellier, France 2023
Sanghvi, Tina; Nguyen, Phuong Hong; Forissier, Thomas; Ghosh, Sebanti; Zafimanjaka, Maurice; Walissa, Tamirat; Mahmud, Zeba; Kim, Sunny S.. 2023
Yesmin, Maksuda; Ali, Masum; Saha, Sanjib . 2023
Early detection of diabetes and hypertension is helpful to prevent and/or delay the onset of these diseases through proper interventions. Therefore, it is a prerequisite to know the prevalence of prediabetes and prehypertension and the factors associated with these conditions but people from developing countries including Bangladesh often remain undiagnosed and unaware of these conditions. In this study we investigate the prevalence of prediabetes and prehypertension and their associated factors in Bangladesh using nationally representative data.
Method
We used nationally representative Bangladesh Demographic and Health Survey (BDHS) 2017–18 survey data, which included a total sample of 14,704 adults aged 18 years and more from whom blood pressure and fasting plasma glucose were collected. Chi-square test was used to examine the differences between sociodemographic and outcome variables. The univariate and multivariate logistic regression was performed to identify the factors associated with prediabetes and prehypertension.
Results
Overall, the prevalence of prediabetes and prehypertension was 8.6% with 14% of the sampled population having from prediabetes and prehypertension separately. Among the prediabetic and prehypertensive participants, one-fourth of the participant were from the richest families and around one-third were overweight/obese, while more than fifty percent had normal Body Mass Index (BMI) and completed secondary and higher education. In the univariate analysis, the richest wealth status (UOR 3.3, 95% CI: 2.46 -4.35) and overweight/obesity (UOR 3.2, 95% CI: 2.62–3.85) are the highest predictors for prediabetes and prehypertension. After adjusting the other variables, overweight/obesity remains the largest predictor for prediabetes and prehypertension (AOR:2.5, 95% CI:2.05–3.05). Further, people aged 31 and above and from the richest family had around 2 times and 1.8 times higher risk of being prediabetic and prehypertensive compared to the younger age people (18–30 years) and the poorest family (respectively).
Conclusion
The coexistence of prediabetes and prehypertension is an early sign of a greater burden of noncommunicable diseases (NCDs) in the near future for Bangladesh. To reduce the higher burden of NCDs, our findings call for a multisectoral approach to identify the precondition of NCDs with particular attention to maintaining body weight.
Raghunathan, Kalyani; Alvi, Muzna Fatima; Sehgal, Mrignyani. 2023
Alam, Mohammad Jahangir; Kabir, A. N.; Mastura, Tamanna; Kishore, Avinash; Jackson, Tamara; Begum, Ismat Ara. 2023
Kumar, K. Nirmal; Mishra, S. N.; Shafiwu, Adinan Bahahudeen; Gajanan, Shailendra N.; Babu, Suresh Chandra; Neelima, A. Sandhya. 2023
Kyle, Jordan; Resnick, Danielle. 2023
Ahmed, Akhter; Coleman, Fiona; Hoddinott, John F.; Menon, Purnima; Parvin, Aklima; Pereira, Audrey; Quisumbing, Agnes R.; Roy, Shalini. 2023
Kyle, Jordan; Resnick, Danielle. 2023
Kumar, Anjani; Saroj, Sunil; Mishra, Ashok K.. 2023
Alam, Mohammad Jahangir; Begum, Ismat Ara; Mastura, Tamanna; Kishore, Avinash; Woodhill, Jim; Chatterjee, Kuhu; Jackson, Tamara. 2023
Nguyen, Phuong Hong; Sununtnasuk, Celeste; Christopher, Anita; Ash, Deborah; Ireen, Santhia; Kabir, Rowshan; Mahmud, Zeba; Ali, Mohsin; Forissier, Thomas; Escobar-DeMarco, Jessica; Frongillo, Edward A.; Menon, Purnima. 2023
Objectives: We assessed the impact of integrating maternal, infant, and young child nutrition interventions, delivered at urban Maternal Neonatal and Child Health facilities, on maternal dietary diversity, iron-folic acid (IFA) and calcium consumption, and child feeding practices.
Methods: We used a quasi-experimental design with a non-random assignment of 20 health facilities in Dhaka to intensive and standard service arms. We conducted facility-based observations and community-based surveys at baseline (2020) and endline (2022) (n=2,455 observations and surveys with 1,678 pregnant [PW] or recently delivered women [RDW] at endline). We derived difference-in-difference (DID) estimates, adjusted for characteristics that differed at baseline or endline, and accounted for clustering.
Results: Exposure to antenatal care (ANC) was similar in both arms: two-thirds of RDW received ANC during the first trimester and three-fourths received ≥4 ANC check-ups.
Compared to the standard arm, a higher proportion of PW in the intensive arm received counselling on dietary diversity (DID: 45 percentage points [pp]), and a higher proportion of RDW received IFA (25pp) and calcium supplementation (19pp), adequate weight gain (44pp), and appropriate child feeding (27pp). Improvements were greater in the intensive than standard arm for number of food groups consumed (DID: 1.1 food groups) and minimum dietary diversity (23pp); no impact was observed for IFA and calcium consumption during pregnancy. Impacts were observed for early initiation (20pp), exclusive breastfeeding (45pp), introduction of solid or semi-solid foods (28pp), and egg and/or flesh food consumption (33pp) among children. Minimum dietary diversity and acceptable diet remained low in both arms.
Conclusions: Intensifying nutrition in government-aligned health services delivered by experienced NGO-run facilities is a feasible model to address the urban health gap, nutrition services coverage, and improved practices.
Narayanan, Sudha; Negi, Digvijay S.; Gupta, Tanu. 2023
Coleman, Fiona M.; Ahmed, Akhter U.; Quisumbing, Agnes R.; Roy, Shalini; Hoddinott, John. 2023
Objective: Using 2012 and 2016 data, we aimed to examine gender differences in diet quantity and quality among ultrapoor and farm households in rural Bangladesh.
Methods: The study used baseline 24-h dietary data from 2 randomized control trials conducted in rural Bangladesh: the Transfer Modality Research Initiative (ultrapoor households) and the Agriculture, Nutrition, and Gender Linkages project (farm households). Ordinary least squares regressions with household-level fixed effects tested for gender differences among constructed diet measures, such as caloric intake, caloric adequacy ratio, dietary diversity score, global diet quality score, and probability of consuming moderate or high levels of healthy food groups.
Results: In both samples, on average, women consumed fewer calories than men in the same households but consumed near equal or more in reference to their caloric needs. Women scored <1% lower than men on diet quality indicators and showed similar probabilities to men of consuming healthy foods. Most men and women in both samples were calorically inadequate (>60%) and recorded poor diet quality scores that indicated high risk of nutrient inadequacy and chronic disease (>95%).
Conclusions: In both ultrapoor and farm households, although men record higher intake quantities and diet quality scores, the apparent male advantage disappear when energy requirements and the magnitudes of difference are considered. Diets of men and women in these rural Bangladeshi households are equitable but suboptimal.
Connors, Kaela; Jaacks, Lindsay M.; Awasthi, Ananya; Becker, Karoline; Kerr, Rachel Bezner; Fivian, Emily; Gelli, Aulo; Harris-Fry, Helen; Heckert, Jessica; Kadiyala, Suneetha; Martinez, Elena; Santoso, Marianne V.; Young, Sera L.; Bliznashka, Lilia. 2023
Methods: In this secondary analysis of cross-sectional data, we used data from four cluster-randomised controlled trials done in Burkina Faso, India, Malawi, and Tanzania. We assessed women's empowerment using indicators from the Women's Empowerment in Agriculture Index. Farm-level crop diversity measures were the number of food crops grown, number of food groups grown, and if nutrient-dense crops were grown. We used a two-stage modelling approach. First, we analysed covariate-adjusted country-specific associations between women's empowerment and crop diversity indicators using multivariable generalised linear models. Second, we pooled country-specific associations using random-effects models.
Findings: The final analytic sample included 1735 women from Burkina Faso, 4450 women from India, 547 women from Malawi, and 574 women from Tanzania. Across all countries, compared with households in which women provided input into fewer productive decisions, households of women with greater input into productive decisions produced more food crops (mean difference 0·36 [95% CI 0·16–0·55]), a higher number of food groups (mean difference 0·16 [0·06–0·25]), and more nutrient-dense crops (percentage point difference 3 [95% CI 3–4]). Across all countries, each additional community group a woman actively participated in was associated with cultivating a higher number of food crops (mean difference 0·20 [0·04–0·35]) and a higher number of food groups (mean difference 0·11 [0·03–0·18]), but not more nutrient-dense crops. In pooled associations from Burkina Faso and India, asset ownership was associated with cultivating a higher number of food crops (mean difference 0·08 [0·04–0·12]) and a higher number of food groups (mean difference 0·05 [0·04–0·07]), but not more nutrient-dense crops.
Interpretation: Greater women's empowerment was associated with higher farm-level crop diversity among low-income agricultural households, suggesting that it could help enhance efforts to strengthen food system resilience.
Narayanan, Sudha; Naraparaju, Karthikeya; Gerber, Nicolas
. 2023
Ali, Hazrat; Belton, Ben; Haque, Mohammad Mahfujul; Murshed-e-Jahan, Khondker. 2023
Jhaveri, Neha R.; Poveda, Natalia E.; Kachwaha, Shivani; Comeau, Dawn L.; Nguyen, Phuong Hong; Young, Melissa F. . 2023
Objective: This qualitative study aimed to: (1) examine pregnant women’s experiences of key nutrition-related behaviors (ANC attendance, consuming a diverse diet, supplement intake, weight gain monitoring, and breastfeeding intentions); (2) examine the influence of family members on these behaviors; and (3) identify key facilitators and barriers that affect behavioral adoption.
Methods: We conducted a qualitative study with in-depth interviews with 24 pregnant women, 13 husbands, and 15 mothers-in-law (MIL). We analyzed data through a thematic approach using the Capability-Opportunity-Motivation-Behavior (COM-B) framework.
Results: For ANC checkups and maternal weight gain monitoring, key facilitators were frontline worker home visits, convenient transportation, and family support, while the primary barrier was low motivation and lack understanding of the importance of ANC checkups. For dietary diversity, there was high reported capability (knowledge related to the key behavior) and most family members were aware of key recommendations; however, structural opportunity barriers (financial strain, lack of food availability and accessibility) prevented behavioral change. Opportunity ranked high for iron and folic acid supplement (IFA) intake, but was not consistently consumed due to side effects. Conversely, lack of supply was the largest barrier for calcium supplement intake. For breastfeeding, there was low overall capability and several participants described receiving inaccurate counseling messages.
Conclusion: Key drivers of maternal nutrition behavior adoption were indicator specific and varied across the capability-opportunity-motivation behavior change spectrum. Findings from this study can help to strengthen future program effectiveness by identifying specific areas of program improvement.
Andrabi, Tahir; Bau, Natalie; Das, Jishnu; Karachiwalla, Naureen; Khwaja, Asim Ijaz . 2023
Kumar, Anjani; Bathla, Seema; Verma, Smriti. 2023
Singh, Shri Kant; Chauhan, Alka; Sharma, Santosh Kumar; Puri, Parul; Pedgaonkar, Sarang; Dwivedi, Laxmi Kant; Taillie, Lindsey Smith . 2023
Nuthalapati, Chandra S.; Beero, Susanto K.; Kumar, Anjani; Sonkar, Vinay; Areef, Mulla . 2023
Ignowski, Liz; Belton, Ben; Ali, Hazrat; Thilsted, Shakuntala Haraksingh . 2023
Davies, Stephen; Quershi, Tehseen; Rana, Abdul Wajid; Haider, Zeeshan; Raja, Sehrish . 2023
Dwivedi, Laxmi Kant; Puri, Parul; Pant, Anjali; Chauhan, Alka; Scott, Samuel; Sigh, Shrikant; Pedgaoker, Sarang; Nguyen, Phuong. 2023
The double burden of malnutrition (DBM), characterized by concurrent undernutrition and overnutrition, is a growing global concern. Families share resources and eating behaviors and programs often target households, yet evidence of the DBM at the family level is scarce.
Objectives
This study examined trends and inequality in the intrahousehold DBM in India between 2006 and 2021.
Methods
Data were from 3 waves of India’s National Family Health Survey (NFHS 2006, 2016, and 2021). We examined 3 types of household member (with children aged <5 y) combinations: mother–child (N = 328,039 across 3 waves), father–child, and parent (mother and father)–child (N = 47,139 for each pair). The DBM was defined as one or more individuals with undernutrition (either wasting or stunting in children or underweight in adults) and one or more overweight individuals within the same household. DBM was examined over time, at national and subnational levels, and by residence and wealth. Results Nearly all DBM was in the form of an overweight parent and an undernourished weight or stunted child. The prevalence of parent–child DBM increased from 15% in 2006 to 26% in 2021. Father–child pairs experienced the most rapid DBM increase, from 12% in 2006 to 22% in 2021, an 83% increase, driven by increasing overweight among men. In 2021, the DBM was highest in North-Eastern and Southern states, and among relatively rich households from urban areas. The increase in the DBM was faster in rural areas and among poor households compared with that in urban areas and rich households. Urban–rural and rich–poor inequalities in the DBM have decreased over time. Conclusions The intrahousehold DBM has increased over time, affecting 1 in 4 households in India in 2021. Family-based interventions that can simultaneously address child underweight and parent overweight are required to address India’s increasing intrahousehold DBM.
Cooper, Bethany; Crase, Lin; Burton, Michael; Rigby, Dan; Alam, Mohammad Jahangir; Kishore, Avinash . 2023
Bhargava, Anil K.; Lybbert, Travis J.; Spielman, David J.. 2023
Mastura, Tamanna; Begum, Ismat Ara; Kishore, Avinash; Jackson, Tamara; Woodhill, Jim; Chatterjee, Kuhu; Alam, Mohammad Jahangir . 2023
Venkata, Nagesh Kumar Mallela; Vittal, Ramya; Setaboyine, Maheshwaramma; Kuyyamudi, Ganapathy N.; Govindaraj, Mahalingam; Kosnam, Kavitha; Kalisetti, Vanisree . 2023
Singh, Vartika; Stevanović, Miodrag; Jha, Chandan Kumar; Beier, Felicitas; Ghosh, Ranjan Kumar; Lotze-Campen, Hermann; Popp, Alexander. 2023
Srinivas, Krishna Ravi; Anand, P. K.; Babu, Suresh . 2023
Lecoutere, Els; Mishra, Avni; Singaraju, Niyati; Koo, Jawoo; Azzarri, Carlo; Chanana, Nitya; Nico, Gianluigi; Puskur, Ranjitha . 2023
Alvi, Muzna; Ringler, Claudia; Bryan, Elizabeth. 2023
However, to date, most climate change policies, investments, and interventions remain gender-blind. As a result, they might exacerbate gender inequalities in food systems by, for instance, increasing women’s labor burden and time poverty, reducing their access to and control over income and assets, and reducing their decision-making power.
Lefore, Nicole; Ringler, Claudia . 2023
The research program’s five areas of inquiry will develop socio-technical bundles that support uptake of mechanization and irrigation, strengthen institutions for natural resource governance and climate resilience, enable scaling of suitable technologies and support development of human resources. The fifth area of inquiry makes a leap from technology to nutrition and health, with the specific aim to “formulate strategies for nutrition-sensitive mechanization and irrigation that safeguard and enhance health and inclusivity.”
Kumar, K. Nirmal Ravi; Reddy, M. Jagan Mohan; Babu, Suresh Chandra. 2023
Narayanan, Sudha. 2023
Reddy, Anugu Amarender; Babu, Suresh; Kumar, Parmod; Kumar, Soora Naresh . 2023
This chapter mainly discusses where does India stand today in terms of its agriculture when compared to its independence in 1947? As the data for 1947 for most of the indicators is not available, 1951 is considered the base year and compared the various indicators for the year 2021.
Narayanan, Sudha; Vijayabaskar, M.; Srinivasan, Sharada . 2023
Palani Samy, Venkatesh; Vellaichamy, Sangeetha; Girish Kumar, Jha; Sharma, Nitin; Babu, Suresh C. . 2023
family members. We assigned the weights based on principal component analysis (PCA). Then, we examine the extent of empowerment and nutrition outcomes of the family members across the wealth category and place of residence (rural-urban setting). Finally, we validate the WEI by analyzing the relationship between WEI and nutrition outcomes of family members through logit analysis. We used Uttar Pradesh data from National Family Health Survey (NFHS) -5 conducted in 2019-21 for the study. We found a positive relationship between household wealth and women's empowerment, indicating the vulnerability of women in poor families, especially in rural areas. Our results also suggested that women's
empowerment differs across educational backgrounds and places of residence. Finally, we found that the prevalence of malnutrition is negatively associated with women's empowerment, especially children and women. These findings highlight the need for promoting women's empowerment-based policies and interventions to address the malnutrition problem
Bakhtiar, M. Mehrab; Hoddinott, John F.. 2023
Halimatussadiah, Alin; Buchori, Damayanti; Carazo, Felipe; Swinnen, Johan; Adriansyah, Muhammad; Ghiffari, Muhammad Nur; Algamar, Rizal; Anky, Wildan Al Kautsar. 2023
Nikita, Rajkumari; Ghosh, Anwesha; Yash; Kumar, Chakresh; Mandal, Arkaprava; Saini, Nirupama; Dubey, Sourabh Kumar; Gogoi, Kalpajit; Rajts, Francois; Belton, Ben; Bhadury, Punyasloke . 2023
Govindaraj, Mahalingam; Pujar, Mahesh. 2023
Manohar, Swetha; Colantuoni, Elizabeth; Thorne-Lyman, Andrew Lucian; Shrestha, Binod; Adhikari, Ramesh Kant; KC, Angela; Bhattarai, Abhigyna; West Jr., Keith Parker
. 2023
An annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers.
Design:
The WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < –2.
Setting:
Use of the reference was illustrated with data from Nepal’s Tarai region.
Participants:
Children contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016.
Results:
Fitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6–11 and 12–23 months of age, and ∼6 % of children 24–59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers.
Conclusions:
A LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.
Pant, Anjali; Scott, Samuel; Singh, S.K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Sarswat, Esha; Menon, Purnima; Nguyen, Phuong Hong. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Singh, Sudhir K.; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima. New Delhi, India 2022
Gune, Soyra; Christopher, A.; Singh, S. K.; Sarwal, Rakesh; Bhatia, Neena; Menon, Purnima; Nguyen, Phuong Hong. New Delhi, India 2022
This Data Note describes trends in key nutritional outcomes for children and women at the national- and state-levels. The findings are based on data from the National Family Health Survey (NFHS)-4 (2015-2016) and -5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses at the state-and district-levels, using data from NFHS-5.
The goals of POSHAN Abhiyaan are to improve nutritional status of children from 0-6 years, adolescent girls, pregnant women, and lactating mothers in a time-bound manner. Given the district-level focus of POSHAN Abhiyaan, the burden of stunting, underweight, wasting, severe wasting, and anemia were ranked to help identify priority districts with the highest burden of undernutrition among children and women.
This Data Note can be used by national-, state-, and district-level officials, non-governmental organizations (NGOs), and research institutes to direct resources and strengthen the implementation of programs and policies to improve these outcomes.
Diao, Xinshen; Dorosh, Paul A.; Smart, Jenny; Thurlow, James. Washington, DC 2022
Singh, N.; Nguyen, P. H.; Jangid, M.; Singh, S. K.; Sarwal, R.; Bhatia, N.; Johnston, R.; Joe, W.; Menon, P.. New Delhi, India 2022
Singh, N.; Nguyen, P. H.; Jangid, M.; Singh, S. K.; Sarwal, R.; Bhatia, N.; Johnston, R.; Joe, W.; Menon, P.. New Delhi, India 2022
Singh, N.; Nguyen, P. H.; Jangid, M.; Singh, S. K.; Sarwal, R.; Bhatia, N.; Johnston, R.; Joe, W.; Menon, P.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022
Singh, Nishmeet; Nguyen, Phuong Hong; Jangid, Manita; Sarwal, Rakesh; Bhatia, Neena; Johnston, Robert; Joe, William; Menon, Purnima; Singh, Sudhir K.. New Delhi, India 2022