Height, BMI, and relative economic standing in children from developing countries

Toolkit article: Approaches to measuring social inequities in health in human biology research

Across populations, human morbidity and mortality risks generally follow clear gradients, with socially-disadvantaged individuals and groups tending to have higher morbidity and mortality at all life stages relative to those more socially advantaged. Anthropologists specialize in understanding the proximate and ultimate factors that shape variation in human biological functioning and health and are therefore well-situated to explore the relationships between social position and health in diverse ecological and cultural contexts. While human biologists have developed sophisticated methods for assessing health using minimally-invasive methods, at a disciplinary level, we have room for conceptual and methodological improvement in how we frame, measure, and analyze the social inequities that might shape health inequities. This toolkit paper elaborates on some steps human biologists should take to enhance the quality of our research on health inequities. Specifically, we address: (1) how to frame unequal health outcomes (i.e., inequalities vs. disparities vs. inequities) and the importance of identifying our conceptual models of how these inequities emerge; (2) how to measure various axes of social inequities across diverse cultural contexts, and (3) approaches to community collaboration and dissemination. We end by discussing (4) future directions in human biology research of health inequities, including understanding the ultimate causes of sensitivity to social inequities and transitioning from research to action.

Assessment of an Educational Intervention to Improve Healthy Life Habits in Children Living in Vulnerable Socioeconomic Conditions

Nutritional condition impacts academic performance and cognitive development. In Peru, the prevalence of chronic undernutrition in children is 6.9%, increasing the risk of mortality and morbidity. This study aimed to develop an educational intervention to achieve an improvement in the healthy habits of children in a primary education school in Lima who live in vulnerable socioeconomic conditions. We conducted a prospective quasi-experimental pre-test and post-test study of an educational intervention. The information was collected through the adaptation of the WHO questionnaire “Global School-based Student Health Survey” (GSHS), with anthropometric variables, socioeconomic level, hygiene and eating habits. One hundred eight students from 5 to 13 years old from Arenitas del Mar School in Lima (Peru) participated. The educational intervention improved eating habits. Fruit and vegetable consumption 3 or more times/day (50.9%) increased after the educational intervention (49% vs. 62.9%,) p < 0.0001. There was an improvement in hygiene habits, such as the frequency of handwashing with soap (32.4% vs. 63.9%) and the frequency of weekly bathing 4–6 times/week (25% vs. 47.5%) p < 0.0001. The educational intervention promoted better healthy living behaviors, eating habits and hygiene. This kind of initiative is a crucial tool to establish healthy living habits.

Secondary data analysis to answer questions in human biology

Despite a growing number of publicly available datasets, the use of these datasets for secondary analyses in human biology is less common compared with other fields. Secondary analysis of existing data offers an opportunity for human biologists to ask unique questions through an evolutionary and biocultural lens, allowing for an analysis of cultural and structural nuances that affect health. Leveraging publicly available datasets for human biology research is a way for students and established researchers to complement their data collection, use existing data for master's and doctoral theses, pilot test questions, and use existing data to answer interesting new questions or explore questions at the population level. Here we describe where publicly available data are stored, highlighting some data repositories and how to access them. We then discuss how to decide which dataset is right, depending on the research question. Next, we describe steps to construct datasets, analytical considerations and methodological challenges, best practices, and limitations depending on the structure of the study. We close by highlighting a number of publicly available datasets that have been used by human biologists and other datasets that may be of interest to the community, including research that has been conducted on some example datasets.

Double burden of malnutrition among children under 5 in poor areas of China

OBJECTIVE

The aim of this study was to investigate the nutritional status and its risk factors among children under 5 years, with special focus on the coexistence of under and over nutrition in population level.

METHODS

We enrolled 6,570 children under 5 years among 26 counties in poor areas of China. Prevalences of malnutrition (stunting, underweight, wasting, overweight) were calculated. Overweight was evaluated using two indicators-weight for height Z score (WHZ) and body mass index for age Z score (BAZ), and results were compared.

RESULTS

The total prevalence of malnutrition was 19.2%. The prevalence of stunting and overweight were as high as 8.4% and 8.8%, respectively. The BAZ-estimated prevalence of overweight was 9.9%, which was higher than the WHZ-estimated prevalence (p<0.001). Children older than 12 months age, within a minority group, with a caregiver of illiteracy/primary education level were significantly associated with stunting in multilevel regression models (p<0.05). Children younger than 24 months age and boys were significantly associated with overweight (p<0.05).

CONCLUSIONS

Stunting and overweight were coexisted in surveyed areas. In conclusion, BAZ tended to overestimate the overweight prevalence compared with WHZ. While with the raising problem of childhood overweight, stunting should still be on the agenda for the poor areas in China. To improve children's nutritional status in poor areas of China, caregivers with children at high risk of malnutrition should be guided for healthy feeding practices.