Evaluation of food insecurity and associated factors in women of childbearing age: A community-based study from Turkey.
Gizem Aytekin SahinOzge Mengi CelikPublished in: Food science & nutrition (2023)
Food security is an important factor in ensuring a healthy diet. However, it has been reported that women are more vulnerable to food insecurity than men in many countries. In addition, there is little evidence that Mediterranean diet (MD) adherence is associated with a lower risk of food insecurity. Therefore, this study aimed to evaluate food insecurity and associated factors in women of childbearing age. In addition, women's adherence to MD and its relationship with food insecurity were evaluated. This descriptive and cross-sectional study was conducted with 2675 adult women aged 18-49. The demographic characteristics, anthropometric measurements, nutritional habits, compliance with the MD, and the level of food insecurity were evaluated using the structured, self-administered, web-based questionnaire form. The mean age of the individuals was 29.5 ± 10.35 years. 21.6% of individuals had food insecurity, and 5.2% had severe food insecurity. 36.4% of the individuals adhere to the MD. There was a statistically significant difference between the individuals with and without food security regarding age, marital status, and income status ( p < .05). However, there was no statistically significant difference in terms of the Mediterranean diet adherence score (MEDAS) and MEDAS classification between individuals with and without food security ( p > .05). It was determined that age, marital status, and income status affected food insecurity ( R 2 = 0.374; p < .001). Also, it was determined that age, number of main meals and snacks, and income status affected adherence to MD ( R 2 = 0.286; p < .001). In conclusion, considering the fragility of women in food insecurity, more comprehensive studies should be conducted in this area to better define the factors associated with food insecurity in women and inform policymakers. In addition, the results of this study can shed light on comprehensive intervention studies in this area.
Keyphrases
- polycystic ovary syndrome
- pregnancy outcomes
- cervical cancer screening
- molecular dynamics
- physical activity
- randomized controlled trial
- healthcare
- breast cancer risk
- type diabetes
- body composition
- metabolic syndrome
- cross sectional
- pregnant women
- machine learning
- public health
- skeletal muscle
- deep learning
- psychometric properties