Evaluation of the international standardized 24-h dietary recall methodology (GloboDiet) for potential application in research and surveillance within African settings.

Background: Collection of reliable and comparable individual food consumption data is of primary importance to better understand, control and monitor malnutrition and its related comorbidities in low- and middle-income countries (LMICs), including in Africa. The lack of standardised dietary tools and their related research support infrastructure remains a major obstacle to implement concerted and region-specific research and action plans worldwide. Citing the magnitude and importance of this challenge, the International Agency for Research on Cancer (IARC/WHO) launched the "Global Nutrition Surveillance initiative" to pilot test the use of a standardized 24-h dietary recall research tool (GloboDiet), validated in Europe, in other regions.

Adolescent obesity prevention in Botswana: beliefs and recommendations of school personnel.

The study's objectives were to gain school personnel's (1) perceptions on diet, physical activity, body size, and obesity, (2) description of school food and physical activity practices, and (3) recommendations for programs to prevent adolescent obesity. The study took place in six junior secondary schools of varying socioeconomic status in Gaborone, Botswana. Using a qualitative descriptive design, semistructured interviews were conducted with key school personnel.

Socio-economic status and urbanization are linked to snacks and obesity in adolescents in Botswana.

Objective: To describe patterns of food consumption associated with overweight/obesity (OW/OB) and their links to socio-economic status (SES) and urbanization.

Design: A nationwide cross-sectional survey.

Setting: Secondary schools in cities, towns and villages in Botswana, Africa.

Poor intake of milk, vegetables, and fruit with limited dietary variety by Botswana's elderly.

The aim of this research was to determine dietary intake of elderly Batswana, evaluate the diet quality using the Health Eating Index (HEI), identify factors associated with poor quality, and determine the impact of age on dietary scores. Villages and towns were selected in three strata: urban, semi-urban, and rural. A total of 99 elderly (67% female, 33% males), age range 60-95 years, were recruited through purposive sampling.