Dataset Information

Increasing gap in human height between rich and poor countries associated to their different intakes of N and P.

ABSTRACT: We analyzed mean height of men born in the 1960s, 1970s and 1980s in 80 countries. Both height and the change in height during the last decades were correlated with N and P intake, as well as the N:P intake ratio. Rich countries had higher per capita N and P intake than poor countries (on average 19.5?±?0.3 versus 9.66?±?0.18?kg?N y^-1 and 2.17?±?0.04 versus 1.35?±?0.02?kg?P y^-1), and also larger increases in per capita N intake (12.1?±?2.0% vs. 7.0?±?2.1%) and P intake (7.6?±?1.0% vs 6.01?±?0.7%), during the period 1961-2009. The increasing gap in height trends between rich and poor countries is associated with an increasing gap in nutrition, so a more varied diet with higher N, P, and N:P intake is a key factor to improve food intake quality in poor countries and thus shorten the gap with rich countries. More N and P are needed with the consequent requirements for a better management of the socioeconomic and environmental associated problems.

SUBMITTER: Penuelas J

PROVIDER: S-EPMC5732171 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Increasing gap in human height between rich and poor countries associated to their different intakes of N and P.

Peñuelas Josep J Janssens Ivan A IA Ciais Philippe P Obersteiner Michael M Krisztin Tamás T Piao Shilong S Sardans Jordi J

Scientific reports 20171215 1

We analyzed mean height of men born in the 1960s, 1970s and 1980s in 80 countries. Both height and the change in height during the last decades were correlated with N and P intake, as well as the N:P intake ratio. Rich countries had higher per capita N and P intake than poor countries (on average 19.5 ± 0.3 versus 9.66 ± 0.18 kg N y<sup>-1</sup> and 2.17 ± 0.04 versus 1.35 ± 0.02 kg P y<sup>-1</sup>), and also larger increases in per capita N intake (12.1 ± 2.0% vs. 7.0 ± 2.1%) and P intake (7.6 ...[more]

PMID: 29247185

Similar Datasets

Project description:Whereas the MDG was a simple schooling goal the Sustainable Development Goals (SDGs) have a number of targets for learning. Target 4.1 specifies not just that all children complete primary and secondary school but that this schooling leads to "relevant and effective learning outcomes" and Indicator 4.1.1 tracks progress goal using the proportion of children reaching "minimum proficiency" at early (grade 2/3), intermediate (primary complete) and late (end if lower secondary) stages of basic education with the aim that "all youth…achieve literacy and numeracy" (Target 4.6). We use the Annual Status of Education Report (ASER) data from India and Pakistan, and Uwezo data from Kenya, Tanzania, and Uganda that assess all children in a given age range, whether in school or not, on simple measures of learning in math, reading (local language), and English, to quantify how much achieving within country equality between the richest 20 percent and the poorest 40 percent in (a) grade attainment and (b) learning achievement by grade would contribute to an SDG-like global equity goal of universal numeracy and literacy for all children by age 12-13. We have three empirical findings. First, except in Kenya equalizing grade attainment between children from rich and poor households would lead to only modest progress in achieving universal numeracy, closing only between 8% (India) and 25 % (Pakistan) of the existing gap to universal literacy. Second, equalizing the learning profiles, that is, closing the gap in learning for children in the same grade between those from the poorest 40 percent of households and the richest 20 percent, would close between 16 % (Pakistan and Uganda) and 34 % (India) of the gap to universal numeracy, and between 13 % (Uganda) and 44 % (India) of the gap to universal literacy. Third, even with complete equality in grade attainment and learning achievement with children from the richest 20 percent children from poorer households still be far from the equity goal of universal numeracy and literacy, as even children from the richest 20 percent of households are far from universal mastery of basic reading and math by ages 12-13. In the currently low performing countries achieving universal literacy and numeracy to reach even a minimal proficiency of global equity goal will require more than just closing the rich-poor learning gap, it will take progress in learning for all.

Project description:BackgroundHeight is an indicator of nutritional status; linear growth faltering has recognized consequences for cognitive, emotional, and chronic disease risk. Although height is routinely studied in developing countries, less attention is given to height in the United States.ObjectiveThe objective of this study was to identify longitudinal associations between childhood and adolescent beverage intakes, nutrient adequacy, or energy intake and height in a birth cohort.MethodsData for participants through ages 2-17 y (n = 717; 353 males, 364 females) recruited at birth for the longitudinal Iowa Fluoride Study (IFS) were used in the current cohort analyses. Beverage intakes (n = 708) were collected by beverage-frequency questionnaires at 3- to 6-mo intervals, whereas nutrient data (n = 652) were obtained from 3-d food diaries completed at 3- to 6-mo intervals through age 8.5 y and from Block Kids' food-frequency questionnaires at 2-y intervals after age 8.5 y. Nutrient adequacy ratios were calculated with the use of age- and sex-specific Estimated Average Requirements. Height was measured at clinic visits when the participants were approximately ages 5, 9, 11, 13, 15, and 17 y. Linear mixed models were used to identify longitudinal associations between dietary variables and height. A baseline model that adjusted for changing growth patterns during adolescence was established. Dietary and potential confounding variables were added to this baseline model.ResultsMilk intake adjusted for mean adequacy ratio, energy intake, and baseline socioeconomic status was associated with height; for each additional 8 ounces (236 mL) of milk consumed per day throughout childhood and adolescence, height increased, on average, by 0.39 cm (95% CI: 0.18, 0.60 cm; P < 0.001).ConclusionsIFS participants' height increased by 0.39 cm for each additional 8 ounces (236 mL) of milk consumed throughout childhood and adolescence. The clinical implications of the mild linear growth faltering observed in healthy youth are unknown. This trial was registered at www.clinicaltrials.gov as 199112665.

Dataset Information

Increasing gap in human height between rich and poor countries associated to their different intakes of N and P.

Publications

Increasing gap in human height between rich and poor countries associated to their different intakes of N and P.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets