Food Insecurity and Micronutrient Status among Ghanaian Women Planning to Become Pregnant.
Ruth Adisetu PobeeSixtus AgureeEsi Komeley ColecraftAlison D GernandLaura E Murray-KolbPublished in: Nutrients (2020)
We examined the association between food insecurity (FIS) and micronutrient status among Ghanaian women planning to become pregnant. A cross-sectional analysis was completed of 95 women aged 18-35 years, living in the Upper Manya Krobo District in the Eastern Region of Ghana. Questionnaires were administered to collect sociodemographic and food security data; weight and height were measured. Blood was drawn from an antecubital vein; one drop was used to assess hemoglobin via Hemocue. Zinc and copper were analyzed using flame atomic spectrophotometry while iron biomarkers, retinol and 25-hydroxyvitamin D were analyzed using ELISA, ultra-performance liquid chromatography and liquid chromatography-tandem mass spectrometry, respectively. Logistic regression models were used to determine the relationship between food insecurity (FIS) and micronutrient deficiencies. FIS was reported among 23% of the households, while micronutrient deficiencies ranged from 7-28% irrespective of FIS status. Retinol concentrations were negatively associated with FIS (p = 0.043) after controlling for covariates, although levels were within the normal range in both groups. No statistically significant associations between FIS and micronutrient deficiencies were found. Among those with FIS, 59% were deficient in at least one nutrient with 18% deficient in two nutrients. Unmarried women were at higher risk of FIS (p = 0.017) than married women. FIS was associated with retinol concentrations but not other micronutrient biomarkers in Ghanaian women expecting to become pregnant in the next 6 months.
Keyphrases
- polycystic ovary syndrome
- pregnancy outcomes
- liquid chromatography tandem mass spectrometry
- pregnant women
- south africa
- breast cancer risk
- body mass index
- liquid chromatography
- type diabetes
- simultaneous determination
- ms ms
- weight loss
- high resolution
- physical activity
- metabolic syndrome
- mass spectrometry
- big data
- tandem mass spectrometry
- electronic health record
- weight gain
- body weight
- solid phase extraction
- human health
- psychometric properties