Evidence map›Paper›PMID 33244605›Full record

ArticleThe Journal of nutrition2021

Food Crop Diversity, Women's Income-Earning Activities, and Distance to Markets in Relation to Maternal Dietary Quality in Tanzania.

Isabel Madzorera, Mia M Blakstad, Alexandra L Bellows, Chelsey R Canavan, Dominic Mosha, Sabri Bromage, Ramadhani A Noor, Patrick Webb, Shibani Ghosh, Joyce Kinabo and 2 more

Abstract read
In one paragraph

Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  10. Dietary quality and risk of heart failure in men.The American journal of clinical nutrition · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Isabel MadzoreraDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Mia M BlakstadDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Alexandra L BellowsDepartment of International Health (Human Nutrition), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Chelsey R CanavanDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Dominic MoshaIfakara Health Institute, Dar es Salaam, Tanzania.
Sabri BromageDepartment of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.
Ramadhani A NoorDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Patrick WebbFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Shibani GhoshFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Joyce KinaboDepartment of Food Science Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Honorati MasanjaIfakara Health Institute, Dar es Salaam, Tanzania.
Wafaie W FawziDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.

Funding

Tanzania Infectious Disease Research Training ProgramD43TW007886 · FIC · HARVARD SCHOOL OF PUBLIC HEALTH · PI FAWZI, WAFAIE W · 2007 to 2018
$1.9M
FIC NIH HHS D43 TW007886
6 · The paper itself

Abstract

backgroundWomen's dietary diversity and quality are limited in low- and middle-income countries (LMICs). Nutrition-sensitive interventions that promote food crop diversity and women's access to income could improve diets and address the double burden of malnutrition in LMICs.

objectivesWe examined the associations among food crop diversity and women's income-earning activities with women's diet quality, as well as effect modification by access to markets, in the context of small-holder food production in rural Tanzania.

methodsData from a cross-sectional study of 880 women from Rufiji, Tanzania, were analyzed. Women's dietary intake was assessed using a food frequency questionnaire. The prime diet quality score (PDQS; 21 food groups; range, 0-42), a unique diet-quality metric for women that captures the healthy and unhealthy aspects of diet, was computed. Generalized estimating equation linear models were used to evaluate the associations of food crop diversity and women's income-earning activities with PDQS, while controlling for socio-economic factors.

resultsMaternal overweight (24.3%) and obesity (13.1%) were high. The median PDQS was 19 (IQR, 17-21). Households produced 2.0 food crops (SD ± 1.0) yearly. Food crop diversity was positively associated with PDQS (P < 0.001), but the association was strengthened by proximity to markets (P for interaction = 0.02). For women living close (<1.1 km) to markets, producing 1 additional food crop was associated with a 0.67 (95% CI, 0.22-1.12) increase in PDQS, versus a 0.40 (95% CI, 0.24-0.57) increase for women living farther away. The PDQS increased with women's salaried employment (estimate, 0.96; 95% CI, 0.26-1.67).

conclusionsHousehold food production may interact with access to markets for sales and purchases, while nonfarm income also improves women's diet quality in rural Tanzania. Programs to improve women's diet quality should consider improving market access and women's access to income (source of empowerment), in addition to diversifying production.

Indexed as

CommerceDemographyIncomeAdolescentAdultCrops, AgriculturalCross-Sectional StudiesDietFemaleFood SupplyHumansMiddle AgedRural PopulationTanzaniaYoung Adultdistance to marketfood crop diversityfood systemsmarket food diversitymaternal diet qualityPDQSprime diet quality scoreproduction diversityTanzaniawomen's access to income

Identifiers

PMID33244605
PMCPMC7779231

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.