Child rights action with informed and engaged societies

After nearly 28 years, The Communication Initiative (The CI) Global is entering a new chapter. 

Following a period of transition, the global website has been transferred to the University of the Witwatersrand (Wits) in South Africa, where it will be administered by the Social and Behaviour Change Communication Division. Wits' commitment to social change and justice makes it a trusted steward for The CI's legacy and future. 

On the transfer, co-founder Victoria Martin expressed her pleasure to see this work continue under Wits' leadership, knowing that co-founder Warren Feek (1953–2024) would have felt deep pride in The CI Global's Africa-led direction. 

As Wits, we honour the team and partners who sustained The CI for decades and look forward building from that strong base. This includes co-founders Warren Feek (1953-2024) and Victoria Martin as well as La Iniciativa de Comunicación (CILA), which continues independently at lainiciativadecomunicacion.com with links to The CI Global site. We are also eager to forge new partnerships and entertain new ideas as we consider how best to contribute to social and behaviour change in our rapidly evolving environment.

If you are joining the International Social and Behaviour Change Communication (SBCC) Summit in Panama, please join Wits and CILA on Monday, 22 June, to share your thoughts and suggestion for the relaunch of the Communication Initiative. We will be in Pacifica 5 from 12-1:25 for the Refuel, Reflect, and Renew Lunch Series: The Communication Initiative: celebrating a driving force for Communication for Social Change and the way forward. We will reflect on the legacy of Warren Feek and family in creating the Communication Initiative, consider the contributions of CI over the years and then turn our attention towards the future in this dynamic session. 

If you are unable to join us in Panama, we still want to hear from you. Please contribute your thoughts by following this link: https://redcap.link/CommunicationInitiative2026 or reaching out to ci_surveys@commint.com

You can also follow the QR Code:

 https://redcap.link/CommunicationInitiative2026

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A preliminary test of a developmental model for the study of undernourished children in Indonesia

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Walka, H. and E. Pollitt (2000). "A preliminary test of a developmental model for the study of undernourished children in Indonesia." European Journal of Clinical Nutrition 54(SUPPL. 2): S21-S27.

Objectives: Structural equation modeling of an abbreviated version of the conceptual model of the effects of micronutrient and energy supplementation on growth and development of undernourished children in West Java. The study focused on the baseline data from the Pangalengan longitudinal project.

Design: This trial included two cohorts of children classified as nutritionally-at-risk who were randomly assigned to three treatments (condensed milk + micronutrients (E); skimmed milk + micronutrients (M); skimmed milk (S)). Supplements were given for a period of up to 12 months.

Setting: The sites were six tea plantations in Pangalengan.

Subjects: A 12-month-old (n = 53) and an 18-month-old (n = 83) cohort were recruited from 24 day care centers. Twenty children that received the S supplement were part of the 12- and 18-month-old cohorts. Criteria for inclusion were: no chronic disease; length- for-age ≤ - 1 standard deviation (s.d.) and weight-for- length between -1 and -2 s.d. of the median of the reference of the World Health Organization.

Variables: Indicators of socioeconomic status were economic and educational resources; length-for-age and weight-for-length were used as indicators of nutritional status; motor development and motor activity were measured with custom- made procedures; and carrying by caretaker and manipulation of objects were used as indicators of caretaking and exploratory behavior.

Results: The model fitted the data of the older but not of the younger cohort (χ2 statistic and three other indices of goodness to fit). However, there were no differences between cohorts in the estimation of the models.