Community centers (including banks, town halls, post offices) ↑ knowledge about health and nutrition, ↑ food expenditures, ↑/NC food share, ↑ HH food consumption, ↑ dietary diversity, ↑ intake of MN (except for heme-Fe), ↑ HH intake of fruits, vegetables, and ASF, ↑/NC intake of fats and sweets, ↑ weight gain (greater among high BMI), ↑ participation in social networks, ↑ self-confidence, ↑ control over resources ↑ knowledge about health and nutrition, ↑ HH food security, ↑ food expenditures, ↑/NC food share, ↑ HH food consumption, ↑ dietary diversity, ↑ HH intake of fruits, vegetables, and ASF, ↑/NC intake of fats and sweets, ↑ participation in social networks, ↑ self-confidence, ↑ control over resources, ↑ ANC coverage ↑ knowledge about health, NC hypertension, ↓/NC missed meals, NC food sufficiency, ↑ health care utilization
Systematically report and evaluate women's nutrition outcomes in research and program evaluation documents in low- and middle-income countries, including outcomes for adolescents, older women, and mothers (as opposed to reporting on women's nutrition as child nutrition outcomes alone). When possible, report and evaluate differences by setting (e.g., rural compared with urban) and socioeconomic status.
Women's empowerment relates to women's ability to make life choices (158). Higher levels of empowerment were associated with increased income, household decision-making, control over resources, and utilization of health resources (5, 158–160). For nutrition outcomes, empowerment was associated with increased income allocated to food expenditures and improved household food security (160, 161). It was also associated with increased dietary diversity, but had no impact on women's BMI (5, 161, 162). For example, mothers’ participation in empowerment activities through Helen Keller International's Enhanced Homestead Food Production (EHFP) program in Burkina Faso was associated with increased fruit intake (difference-in-differences = 15.8 percentage points, P = 0.02) and nearly statistically significant increases in meat intake and dietary diversity (163). Participation was also associated with decreased prevalence of underweight (difference-in-differences = −8.7 percentage points, P < 0.01) but not overall mean BMI (163). In addition, the EHFP program in Bangladesh and Nepal was associated with decreasing trends in maternal anemia (anemia prevalence decreased by a magnitude of 12%, P = 0.075 in Bangladesh, and 26%, P = 0.009 in Nepal) (160). However, this was not consistent with findings from Cambodia (160).
Our findings identified gaps and limitations in the evaluation, scope, targeting, and delivery platforms of nutrition interventions in low- and middle-income countries. First, the monitoring and evaluation of nutrition programs that reported on women's nutrition outcomes was generally inadequate. Many of the studies we identified included small-scale efficacy trials. Although there were many large-scale programs that targeted women and adolescent girls with nutrition-specific and nutrition-sensitive approaches, they lacked rigorous evaluation. Whether the evidence about women's outcomes was limited because they are not systematically measured or because they are not well reported is not clear. Negative results are often not published, and many evaluations of nutrition interventions that are conducted by the same groups responsible for implementing them are typically presented positively. This may have also skewed our findings. More intentional research-quality program evaluation, including of large-scale programs, would provide a stronger evidence base. Of the studies identified in this review, many reported on short-term findings such as changes in knowledge, dietary behaviors, and program coverage. They were limited in their ability to report clinical and anthropometric outcomes for women, the duration of those outcomes, and the feasibility of scaling up programs. There is also a need for systematic, long-term evaluations of interventions whose effects on nutrition outcomes are more distal (e.g., nutrition education compared with micronutrient supplementation). The effects of multisectoral interventions are even more complex to measure. However, frameworks exist to evaluate complex interventions (102) and could be utilized to evaluate the impact of interventions across the life course.
The daily calcium recommendations are 1,000 milligrams a day for women under 50, and 1,500 milligrams a day for women 51 and older. Oddly enough, these are the same requirements for men, who are much less prone to osteoporosis than women. But the recommendation takes into account the fact that women are smaller than men. Thus the amount of daily calcium is greater for women on a proportional basis.
If you lose weight suddenly or for unknown reasons, talk to your health care professional immediately. Unexplained weight loss may indicate a serious health condition. And even if it doesn't, simply being underweight is linked to menstrual irregularity, menstrual cessation (and sometimes, as a result, dental problems, such as erosion of the enamel and osteoporosis) and a higher risk of early death.
WASH interventions were typically community-based. WASH interventions were delivered to households and communities through community mobilization, mass media, home visits, and infrastructural development (126, 130, 136–138). There were some examples of facility-based delivery of WASH interventions, such as in health clinics and schools (139, 140); however, this was not representative of the majority of delivery platform coverage. Health clinic delivery platforms had limited reach, often targeting pregnant women and women with young children. In an evaluation of WASH interventions delivered in India (141), more demanding behavioral practices, such as handwashing and consistent use of latrines, required more intense contact (e.g., multiple home visits) than less intense interventions, such as sweeping of courtyards, that could be effectively delivered in small group meetings such as those in health clinics and community centers. More research is needed to evaluate the benefits and barriers of different delivery platforms for women across the life course.
For this comprehensive narrative review, we evaluated both nutrition-specific and nutrition-sensitive interventions. Nutrition-specific approaches are those that address the immediate determinants of nutrition (e.g., food and nutrient intake, diet-related practices and behaviors, disease, etc.), whereas nutrition-sensitive approaches are those that address the underlying determinants of nutrition (e.g., food security, access to resources, safe and hygienic environments, adequate health services, etc.) (5, 12). We evaluated the following nutrition-specific interventions described by Bhutta et al. (13, 14): nutrition counseling and education, micronutrient supplementation and fortification, protein and energy supplementation, and lipid-based supplementation. We also included the following nutrition-sensitive approaches described by Ruel and Alderman (5) and Bhutta et al. (14): health care; family planning; water, sanitation, and hygiene (WASH); empowerment; income-generation; education; and social protection. For each intervention, we 1) described the scale and coverage of the intervention, when available; 2) summarized the evidence of effectiveness for women's health and nutrition outcomes; and 3) described and evaluated the target population and delivery platforms, as described in the published articles and as summarized in Table 1. The delivery of interventions included the physical platforms, as well as the adherence and the implementation challenges of the different interventions.
Micronutrient supplementation programs for vitamin A, iron and folic acid, calcium, zinc, and multiple micronutrients effectively impacted the micronutrient status of pregnant and lactating women, as well as women of reproductive age and adolescent girls (13, 14, 33, 35–48). Interventions making use of multiple micronutrients were more effective at changing plasma micronutrient concentrations than interventions focused solely on 1 nutrient alone (38, 42). In countries with comprehensive programs for iron supplementation during pregnancy, anemia prevalence dropped (1, 49). Positive health impacts of supplementation were most notable among pregnant women who were deficient and at risk of low intake (43, 50). However, there were some studies that showed inconsistent or limited evidence for the effectiveness of supplementation on other maternal health outcomes (31, 51–58).
Schools (and universities) ↓/NC anemia, ↓ Fe-deficiency anemia, ↑/NC MN status [Hgb (↑ if anemic), ferritin, zinc, retinol], ↑ MN status [folate, riboflavin, 25(OH)D, iodine], ↓ PTH, ↓ goiter prevalence, ↓ MN deficiency (vitamin A, B-12, C), ↑ bone mineral accretion, ↑/NC weight gain/BMI, ↑ MUAC, ↑ gut inflammation, ↓/NC respiratory symptoms and diarrheal morbidity, ↑ fitness (for Fe-deficient subjects), ↑/NC short-term cognitive function ↑ Hgb (↑ if anemic), ↑ serum ferritin, ↑ total body Fe, ↑ urinary iodine concentration, ↑ serum zinc, ↑ aerobic power, NC net energetic efficiency
Poor nutrition may be one of the easiest conditions to self-diagnose. Look at the food pyramid and the suggested servings. Look at your diet. Are you getting the recommended daily amounts of fruits and vegetables? Enough calcium? Read the labels and compare what you eat to what you need. You may discover that even if your weight is ideal, you are not getting enough nutrition.
Integrated health care Health clinics ↑ knowledge about FP, NC use of FP ↑ knowledge about diabetes, ↓ incidence of diabetes, ↑ glycemic control, ↑ hypertension screening and Tx, ↓ hypertension, NC mortality (from coronary artery disease), ↓ depression, ↑/NC health care utilization, ↑ knowledge about FP, ↑/NC use of FP, ↑/NC STI screening, NC STI incidence, ↑ cervical cancer screening, ↑ mammography ↓/NC anemia, ↑ Hgb, ↑ glycemic control, ↑ hypertension screening and Tx, ↓ hypertension, ↓ pre-eclampsia, ↓ maternal mortality, ↓/NC placental malaria, ↓ parasitemia, ↓/NC depression, NC health care utilization, ↑/NC hospital deliveries, NC cesarean delivery, ↑/↓ knowledge about FP, ↑/NC use of FP, ↑ STI screening, ↓ STI incidence, ↑ cervical cancer screening, ↑ mammography ↑ knowledge about diabetes, ↓ diabetes, ↑ glycemic control, ↑ hypertension screening and Tx, ↓ hypertension, NC mortality (from coronary artery disease), ↑ health care utilization, ↓ depression, ↑ mammography, ↑ cervical cancer screening
The effect of education programs on nutrition outcomes is difficult to assess because programs often have poor baseline data or nutrition outcomes are not evaluated (174, 182). Studies that used longitudinal analyses and “natural” experiments (e.g., before and after a national education policy) found that education was associated with reduced fertility (183, 184), and delayed early marriages and pregnancies (184–187). The impact was more significant for higher levels of education (185). However, 1 study in Malawi identified negative associations between education and timing of first birth, although these findings were largely not statistically significant (188). Secondary education for adolescents and women of reproductive age also showed no impact on women's empowerment (184), although it did show an impact on improved literacy and leadership (174). Educational interventions that provided conditional cash transfers (CCTs) and school feeding, as well as other forms of social protection to families of enrolled girls, were associated with greater school enrollment and attendance (189–191), improved test scores (189, 190), reduced gender gaps (192), and reduced hunger (190, 191).