If you do decide to diet, you still need to maintain good nutrition. You want to cut back on calories, not nutrients. And while you want to reduce fat, don't eliminate it entirely. Some studies suggest that older women who maintain a higher body-fat percentage are less likely to suffer from osteoporosis and other conditions associated with menopause. Fat cells also retain estrogen, which helps maintain the calcium in your bones. Younger women should be careful, too: a low body fat percentage can lead to infertility; below 17 percent may lead to missed periods, also known as amenorrhea.
By contrast, ovarian cancer, the leading cause of reproductive organ cancer deaths, and the fifth commonest cause of cancer deaths in women in the United States, lacks an effective screening programme, and is predominantly a disease of women in industrialised countries. Because it is largely asymptomatic in its earliest stages, more than 50% of women have stage III or higher cancer (spread beyond the ovaries) by the time they are diagnosed, with a consequent poor prognosis.
Women and men differ in their chromosomal makeup, protein gene products, genomic imprinting, gene expression, signaling pathways, and hormonal environment. All of these necessitate caution in extrapolating information derived from biomarkers from one sex to the other. Women are particularly vulnerable at the two extremes of life. Young women and adolescents are at risk from STIs, pregnancy and unsafe abortion, while older women often have few resources and are disadvantaged with respect to men, and also are at risk of dementia and abuse, and generally poor health.
Nutrition-sensitive approaches are difficult to link to women's nutritional status (5, 102). This is due to limited measurement of benefits to program beneficiaries, families, households, and communities, limited timeframes to evaluate long-term impact, logistical and political realities that make implementation difficult, and different priorities of different stakeholders in multisectoral programs (102). Many nutrition-sensitive approaches, as will be described, thus focus on more distal measures of impact (e.g., coverage, knowledge) and not more proximal measures of women's nutritional status (e.g., BMI, anemia status, etc.).