| Literature DB >> 35612668 |
Edith J M Feskens1, Regan Bailey2, Zulfiqar Bhutta3,4, Hans-Konrad Biesalski5, Heather Eicher-Miller6, Klaus Krämer7,8, Wen-Harn Pan9, James C Griffiths10.
Abstract
Sex differences are an important consideration when researching and establishing policies for nutrition and optimal health. For women's health, there are important physiologic, neurologic, and hormonal distinctions throughout the lifecycle that impact nutritional needs. Distinct from those for men, these nutritional needs must be translated into appropriate nutrition policy that aims to not only avoid overt nutritional deficiency, but also to promote health and minimize risk for chronic disease. Through a series of webinars, scientific experts discussed the advances in the understanding of the unique nutritional needs, challenges and opportunities of the various life stages for women across the life course and identified emerging nutritional interventions that may be beneficial for women. Nevertheless, there is concern that existing nutrition policy intended for women's health is falling short with examples of programs that are focused more on delivering calories than achieving optimal nutrition. To be locally effective, targeted nutrition needs to offer different proposals for different cultural, socio-economic, and geographic communities, and needs to be applicable at all stages of growth and development. There must be adequate access to nutritious foods, and the information to understand and implement proven nutritional opportunities. Experts provided recommendations for improvement of current entitlement programs that will address accessibility and other social and environmental issues to support women properly throughout the lifecycle.Entities:
Keywords: Ageing; Diet; Disparities; Life-expectancy; Nutrition; Women’s-health
Mesh:
Year: 2022 PMID: 35612668 PMCID: PMC9134728 DOI: 10.1007/s00394-022-02915-x
Source DB: PubMed Journal: Eur J Nutr ISSN: 1436-6207 Impact factor: 4.865
Standard requirement for basic support (2019)
| Age | Total per month | Share of food, non-alc. Beverages (month) | Share of food, non-alc. Beverages (day) |
|---|---|---|---|
| Adolescents 14–17 | 322 € | 151.57 € | 4.98 € |
| Children 6–13 | 302 € | 122.01 € | 4.01 € |
| Children 0–5 | 245 € | 85.87 € | 2.82 € |
The total amount must be used to finance the entire costs of living, including expenses for health care or clothing, etc. The share that can be used for food is fixed and the possibilities to buy food depend strongly on price increases in the food and non-food sector
Fig. 1Deficiency as an end stage disease and hidden hunger. The range around the EAR is the amount of micronutrients that is adequate or inadequate depending on age and individual needs. In this range, the hidden hunger can be defined
Fig. 2Achievement differences (composite index) in low-, middle- and high-SES families (modified from [153])
Fig. 3Trends in age-standardized prevalence in BMI categories in children and adolescents from 2010 to 2019 in boys and girls [70]
Demographic profile of young people in South Asian Region
| Country | Young people ages 15–24 (mid-2017) | Young people ages 15–24 (mid 2050) | Adolescent fertility rate ages 15–19 | ||
|---|---|---|---|---|---|
| Million | % of total population | Million | % of total population | ||
| World | 1189 | 15.9 | 1355 | 13.8 | 50 |
| South Asia | |||||
| Afghanistan | 7.6 | 21.4 | 12.1 | 17.6 | 78 |
| Bangladesh | 31.6 | 19.2 | 25.4 | 12.6 | 83 |
| Bhutan | 0.2 | 25 | 0.1 | 10 | 23 |
| India | 246.9 | 18.3 | 229.4 | 13.7 | 25 |
| Nepal | 6.2 | 21.1 | 4.4 | 13.2 | 71 |
| Pakistan | 38.4 | 19.3 | 49.2 | 15.8 | 44 |
| Sri Lanka | 3.2 | 15.0 | 2.5 | 11.4 | 15 |
The world youth 2017 Data Sheet [168]
Mean age at marriage and percentage of ever married among females aged 15–19 and 20–24 [168]
| Country | Mean age at marriage | Percentage ever married among women aged | ||
|---|---|---|---|---|
| Men | Women | 15–19 age groupa | 20–24 age groupa | |
| Afghanistan | 24.7 | 21.3 | 17.2 | 67.6 |
| Bangladesh | 25.5 | 18.8 | 45.2 | 84.6 |
| India | 26.0 | 21.3 | 15.4 | 66.8 |
| Nepal | 23.7 | 20.1 | 27.5 | 75.8 |
| Pakistan | 26.9 | 22.7 | 14.4 | 50.8 |
aA mean value was reported where two or more values were reported from different data collection sources
Fig. 5Sex and age-specific level of average daily caloric intakes, Nutrition and Health Survey in Taiwan [189] (unpublished data from the author)
Fig. 6Hypothesized impacts of U.S. federal food assistance through the Supplemental Nutrition Assistance Program (SNAP) among low-income and food insecure groups on food security, diet and health