Access to food markets, household wealth and child nutrition in rural Cambodia: Findings from nationally representative data

被引:0
|
作者
Duong, Cam [1 ]
Patel, Shivani [2 ]
Nguyen-Viet, Hung [3 ]
Chea, Rortana [4 ]
Dang, Sinh [5 ]
Tum, Sothyra [4 ]
Ramakrishnan, Usha [2 ]
Young, Melissa F. [2 ]
机构
[1] Emory Univ, Doctoral Program, Nutr & Hlth Sci Program, Laney Grad Sch, Atlanta, GA 30322 USA
[2] Emory Univ, Hubert Dept Global Hlth, Atlanta, GA USA
[3] Int Livestock Res Inst, Anim & Human Hlth Program, Nairobi, Kenya
[4] Natl Anim Hlth & Prod Res Inst, Gen Directorate Anim Hlth & Prod, Phnom Penh, Cambodia
[5] Int Livestock Res Inst, Anim & Human Hlth Program, Hanoi, Vietnam
来源
PLOS ONE | 2023年 / 18卷 / 10期
关键词
MIDDLE-INCOME COUNTRIES; INTERVENTIONS; PROGRESS; GROWTH;
D O I
10.1371/journal.pone.0292618
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Access to informal fresh food markets plays a vital role in household food security and dietary quality in transitioning rural economies. However, it is not well understood if market access also improves child nutrition and if the improvement applies to all socioeconomic groups. In this secondary research study, we combined a national listing of food markets (n = 503) with a national household survey to examine the associations of market access with diet and height across wealth groups in children aged 6 to 23 months in rural Cambodia. All children under two years of age with dietary data (n = 1537) or anthropometry data (n = 989) were selected from the household survey. Food markets were geocoded using Google Maps or villages' geographical coordinates publicly available in the Open Development Mekong data platform. Regression calibration was then used to estimate household distance to the nearest market. Descriptive results indicated a highly uneven distribution of food markets with median household distance to the nearest markets ranging between 4 km (IQR: 3-8 km) in the lowland areas and 9 km (IQR: 4-17 km) in the highland areas. Results from the multivariate linear regressions showed that distance to the nearest market was modestly associated with child dietary diversity score (beta: -0.17; 95% CI: -0.29, -0.05) but it was not related to child height-for-age z-score, and that household wealth did not modify the associations between distance to markets and child dietary diversity score. These findings suggest that improving access to food markets alone might not lead to meaningful improvement in child diet. Detailed surveys on household food acquisition are needed to clarify the role of food markets relative to other food sources such as subsistence fisheries, subsistence gardening and mobile food traders.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] The Data Food Networking (DAFNE) databank: Estimations of the daily energy and nutrient availability based on nationally representative household budget survey data.
    Naska, A.
    Oikonomou, E.
    Wagner, K.
    Gedrich, K.
    Trichopoulou, A.
    [J]. ANNALS OF NUTRITION AND METABOLISM, 2007, 51 : 85 - 85
  • [42] Estimations of daily energy and nutrient availability based on nationally representative household budget survey data. The Data Food Networking (DAFNE) project
    Naska, A.
    Oikonomou, E.
    Trichopoulou, A.
    Wagner, K.
    Gedrich, K.
    [J]. PUBLIC HEALTH NUTRITION, 2007, 10 (12) : 1422 - 1429
  • [43] Women's participation in household decision-making and higher dietary diversity: findings from nationally representative data from Ghana (vol 35, 16, 2016)
    Amugsi, Dickson A.
    Lartey, Anna
    Kimani-Murage, Elizabeth
    Mberu, Blessing U.
    [J]. JOURNAL OF HEALTH POPULATION AND NUTRITION, 2016, 35
  • [44] Linking household surveys and facility assessments: a comparison of geospatial methods using nationally representative data from Malawi
    Michael A. Peters
    Diwakar Mohan
    Patrick Naphini
    Emily Carter
    Melissa A. Marx
    [J]. Population Health Metrics, 18
  • [45] Linking household surveys and facility assessments: a comparison of geospatial methods using nationally representative data from Malawi
    Peters, Michael A.
    Mohan, Diwakar
    Naphini, Patrick
    Carter, Emily
    Marx, Melissa A.
    [J]. POPULATION HEALTH METRICS, 2020, 18 (01)
  • [46] Water, sanitation and depression in rural communities: evidence from nationally representative study data in South Africa
    Mngadi, Lindiwe C.
    Cuadros, Diego F.
    Tanser, Frank
    Burns, Jonathan K.
    Slotow, Rob
    Tomita, Andrew
    [J]. PSYCHOLOGY HEALTH & MEDICINE, 2023, 28 (09) : 2441 - 2449
  • [47] Prevalence and factors associated with tobacco use among men in India: findings from a nationally representative data
    Islam, Md Shariful
    Saif-Ur-Rahman, K. M.
    Bulbul, Md. Mofijul Islam
    Singh, Deepak
    [J]. ENVIRONMENTAL HEALTH AND PREVENTIVE MEDICINE, 2020, 25 (01)
  • [48] Access to Information Technologies and Consumption of Fruits and Vegetables in South Africa: Evidence from Nationally Representative Data
    Sinyolo, Sikhulumile
    Ndinda, Catherine
    Murendo, Conrad
    Sinyolo, Sithembile A.
    Neluheni, Mudzunga
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (13) : 1 - 17
  • [49] Who profits from agroecology to secure food and nutrition? On access of women to markets and assets
    Ume, Chukwuma
    Nuppenau, Ernst-August
    Domptail, Stephanie Eileen
    [J]. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2023, 7
  • [50] Does access to local markets influence child labor? Evidence from rural Uganda
    Muhumuza, Tony
    [J]. AFRICAN JOURNAL OF ECONOMIC AND MANAGEMENT STUDIES, 2015, 6 (04) : 431 - 452