The Supply of Calories, Proteins, and Fats in Low-Income Countries: A Four-Decade Retrospective Study

The Global Burden of Metabolic Risk in Cardiovascular Disease: Trends in Disability-Adjusted Life Years from the Global Burden of Disease Study, 2019

Introduction: Metabolic risk factors significantly elevate the risk of cardiovascular diseases (CVDs) and are recognized as one of the primary contributors to these conditions. This study explored the trends and percentage changes in disability-adjusted life years (DALYs) attributable to metabolic risk factors for CVD from 1990 to 2019. Methods: Data from the Global Burden of Disease study was utilized to depict changes across metabolic risk factors by sociodemographic indices and sex groups. The Mann-Kendall test was employed to ascertain the significance of these trends. Results: The findings indicate that the DALY percentage change over these years was more pronounced in low-middle and middle Socio-demographic Index (SDI) countries than in others. The most substantial percentage increase, approximately 60%, was observed in regions with low SDI, attributed to high body mass index (BMI). On average, the greatest DALYs were associated with high systolic blood pressure (SBP). Moreover, the trend for high low-density lipoprotein cholesterol and high SBP declined in countries with high SDI. Conclusions: It can be concluded that to mitigate the global mortality and morbidity from heart diseases, there needs to be a focused emphasis on managing metabolic risk factors, particularly in low-Middle and middle SDI countries.

Influence of health food literacy on willingness to pay for healthier foods: focus on food insecurity

BACKGROUND

The repercussions of food insecurity are widely recognized to negatively impact overall health and are influenced by a complex interplay of physiological, psychological, social, and environmental factors.

METHODS

This study examined the disparities in food consumption and literacy between among food security households and food insecurity households using data from the Korea Rural Economic Institute's 2022 Consumer Behavior Survey for Food, which involved 3,321 respondents.

RESULTS

Food security households had a greater understanding of and better attitude toward healthier food choices than food insecurity households. Economic ability was identified as having the most significant association with food purchasing behavior, with food security households spending more on average than food insecurity households. Structural equation modeling demonstrated the association of knowledge and attitude with dietary implementation and underscored the significance of consumer literacy as a factor related to willingness to pay for healthier foods.

CONCLUSIONS

This study underscores the intertwined relationships among financial capacity, knowledge, and health-conscious dietary choices. It also suggests the need for targeted interventions addressing economic and educational gaps to foster healthier food consumption patterns across different socioeconomic contexts.

Dietary diversity and associated factors among pregnant women in the Southern Province of Rwanda: A facility-based cross-sectional study

The inadequate dietary diversity of pregnant women in low- and middle-income countries, including Rwanda, is rising and leading to macro and micronutrient deficiencies. The extent of dietary diversity and the factors contributing to it are unknown in Rwanda. This cross-sectional study, with 612 women who attended antenatal care services in Rwanda's Southern Province, identified determinants of dietary diversity among pregnant women. A multistage sampling scheme was used in which four districts were sampled, thereafter one urban and one rural health centre was sampled in each district and finally, a systematic sample of pregnant women was selected in each sampled health centre. Dietary diversity was measured using Minimum Dietary Diversity for Women (MDD-W), and multiple logistic regression models were fitted to identify factors associated with dietary diversity. Only 44.1% (95% confidence interval (CI) of [40.1%, 48.0%]) of participants had adequate dietary diversity. Approximately 95.4% of participants consumed grains, white roots, and tubers. The food groups that were the least consumed consisted of eggs (n = 99, 16.4%), as well as those consisting of milk and milk products (n = 112, 18.5%). The factors which were positively associated with dietary diversity were owning a radio (adjusted odds ratio [aOR] = 1.90 [95% CI 1.27, 2.85]), maternal education (aOR = 1.85 [95% CI 1.28, 2.65]), having a kitchen garden (aOR = 1.69 [95% CI 1.11, 2.57]) and nutrition knowledge score (aOR = 1.45 [95% CI 1.21, 1.74]) for a five-point increase in nutrition knowledge score. The factors negatively associated with dietary diversity include food insecurity, which reduced the odds of dietary diversity (aOR = 0.19 [0.07, 0.50]) per five-unit increase in food insecurity. Furthermore, the odds of adequate dietary diversity were lower among urban residents than rural residents (aOR = 0.69 [0.47, 1.03]). The household size was associated with dietary diversity with the odds of dietary diversity decreasing by 12% for a five-unit increase in household size (aOR = 0.88 [0.79; 0.99]). 23% had poor nutritional status, indicated by their mid-upper arm circumference (MUAC; < 23 cm). Enhanced nutritional education is needed to improve the nutritional knowledge of this population with particular emphasis on the consumption of animal-source foods. Sensitisation activities promoting ownership of kitchen gardens and radios could improve dietary diversity among Rwanda's pregnant women.

Local Sources of Protein in Low- and Middle-Income Countries: How to Improve the Protein Quality?

Protein inadequacy is a major contributor to nutritional deficiencies and adverse health outcomes of populations in low- and middle-income countries (LMICs). People in LMICs often consume a diet predominantly based on staple crops, such as cereals or starches, and derive most of their daily protein intakes from these sources. However, plant-based sources of protein often contain low levels of indispensable amino acids (IAAs). Inadequate intake of IAA in comparison with daily requirements is a limiting factor that results in protein deficiency, consequently in the long-term stunting and wasting. In addition, plant-based sources contain factors such as antinutrients that can diminish protein digestion and absorption. This review describes factors that affect protein quality, reviews dietary patterns of populations in LMICs and discusses traditional and novel small- and large-scale techniques that can improve the quality of plant protein sources for enhanced protein bioavailability and digestibility as an approach to tackle malnutrition in LMICs. The more accessible small-scale food-processing techniques that can be implemented at home in LMICs include soaking, cooking, and germination, whereas many large-scale techniques must be implemented on an industrial level such as autoclaving and extrusion. Limitations and considerations to implement those techniques locally in LMICs are discussed. For instance, at-home processing techniques can cause loss of nutrients and contamination, whereas limitations with larger scale techniques include high energy requirements, costs, and safety considerations. This review suggests that combining these small- and large-scale approaches could improve the quality of local sources of proteins, and thereby address adverse health outcomes, particularly in vulnerable population groups such as children, adolescents, elderly, and pregnant and lactating women.

Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression

BACKGROUND

Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran.

METHODS

In this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used.

RESULTS

According to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG.

CONCLUSIONS

In general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums.

Predictors of vitamin A rich food consumption among women living in households growing orange-fleshed sweetpotatoes in selected regions in Uganda

Objective

Vitamin A deficiency (VAD) has serious public health consequences including morbidity and mortality for populations in low and middle-income countries (LMICs), especially for children under 5 years and pregnant women. LMICs are at greater risk of VAD, in part due to low levels of consumption of vitamin A-rich foods most of which are plant-based, such as orange-fleshed sweet potatoes (OFSP), with lower bioavailability than animal sources of the vitamin A. Food-based approaches such as biofortification of OFSP, including promoting the consumption of vitamin A-rich biofortified staple crops, has been shown to be potentially effective in improving the status of vitamin A and other micronutrients. This study examined vitamin A-rich food consumption and its predictors among women of reproductive age from OFSP-growing households in two regions of Uganda.

Methods

A cross-sectional survey was conducted among 617 OFSP growing households, focusing on women in the reproductive age group from the northern and eastern regions of Uganda. Households were not receiving any VAD-related intervention at the time of the survey. Quantitative data included vitamin A-rich food consumption, knowledge on vitamin A, and rich food sources dietary intake, using a 7-day food frequency questionnaire. Vitamin A consumption and risk of deficiency were estimated using the Hellen Keller International guide.

Results

The majority of women in this study were either pregnant (80%) or lactating (17%). More than 70% of the study population had a weighted vitamin A rich food consumption mean score of <6 days per week, indicating a high risk of VAD. Knowledge about vitamin A [b (SE) = -0.18 (0.50), p < 0.001] was significantly and inversely associated with vitamin A rich food consumption.

Conclusion

Components of food insecurity such as availability, affordability, utilization, and changing food preferences may contribute to the unexpected inverse relationship between knowledge and consumption of vitamin A rich foods. Scaling up biofortified food initiatives, including OFSP, can improve consumption of vitamin A rich foods with effective strategies to comprehensively address consumption barriers such as lack of nutrition education, cooking skills, and storage facilities, as well as low production levels and perceived contamination of biofortified foods.

Effects of Corruption Control on the Number of Undernourished People in Developing Countries

Developing countries will be home to 85% of the world’s population by 2030. Hence, it is important to ensure food security for them. This effort is not easy, as the number of undernourished people (NUP) in the world has increased. We investigated the impact of food and non-production factors on the NUP in developing countries. This study employed secondary data from 57 developing countries between 2002 and 2018. These countries come from three regions, namely Africa, Asia, and Latin America and the Caribbean. One-step and two-step generalized method of moments (sys-GMM) models were used to analyze the data. The findings showed that the food production index, cereal import dependency ratio, economic globalization index, and human capital index had different effects on the NUP in each region. The excellent news is that corruption control can help developing countries minimize their NUP. Based on the findings, we propose efforts to improve physical and economical food access and control corruption, and developing country governments and the international community must demonstrate a strong commitment to reducing the prevalence of undernourishment.