Publication
Towards a capability approach to child growth: A theoretical framework
Haisma, H., Yousefzadeh Faal Daghati, S. & Boele Van Hensbroek, P., Apr-2018, In : Maternal and child nutrition. 14, 2, e12534.Research output: Contribution to journal › Article › Academic › peer-review

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- Towards a capability approach to child growth
Final publisher's version, 653 KB, PDF document
DOI
Child malnutrition is an important cause of under-five mortality and morbidity around the globe. Despite the partial success of (inter)national efforts to reduce child mortality, under-five mortality rates continue to be high. The multidimensional approaches of the Sustainable Development Goals may suggest new directions for rethinking strategies for reducing child mortality and malnutrition. We propose a theoretical framework for developing a “capability” approach to child growth.
The current child growth monitoring practices are based on two assumptions: (1) that anthropometric and motor development measures are the appropriate indicators; and (2) that child growth can be assessed using a single universal standard that is applicable around the world. While the current practices continue to play an important role, these practices may be further advanced by applying a capability approach to child growth, whereby growth is redefined as the achievement of certain capabilities (of society, parents, and children). This framework is similar to the multi-dimensional approach to societal development presented in the seminal work of Amartya Sen.
To identify the dimensions of healthy child growth, we draw upon theories from the social sciences and evolutionary biology. Conceptually, we consider growth as a plural space, and propose assessing growth by means of a child growth matrix in which the context is embedded in the assessment. This approach will better address the diversities and the inequalities in child growth. Such a multi-dimensional measure will have implications for interventions and policy, including prevention and counselling, and could have an impact on child malnutrition and mortality.
The current child growth monitoring practices are based on two assumptions: (1) that anthropometric and motor development measures are the appropriate indicators; and (2) that child growth can be assessed using a single universal standard that is applicable around the world. While the current practices continue to play an important role, these practices may be further advanced by applying a capability approach to child growth, whereby growth is redefined as the achievement of certain capabilities (of society, parents, and children). This framework is similar to the multi-dimensional approach to societal development presented in the seminal work of Amartya Sen.
To identify the dimensions of healthy child growth, we draw upon theories from the social sciences and evolutionary biology. Conceptually, we consider growth as a plural space, and propose assessing growth by means of a child growth matrix in which the context is embedded in the assessment. This approach will better address the diversities and the inequalities in child growth. Such a multi-dimensional measure will have implications for interventions and policy, including prevention and counselling, and could have an impact on child malnutrition and mortality.
Original language | English |
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Article number | e12534 |
Journal | Maternal and child nutrition |
Volume | 14 |
Issue number | 2 |
Early online date | 20-Oct-2017 |
Publication status | Published - Apr-2018 |
Event | International Conference on Nutrition: Normative indicators of child health and nutrition – one size fits all? - Granada, Spain Duration: 14-Sep-2013 → 16-Sep-2013 |
Event
International Conference on Nutrition: Normative indicators of child health and nutrition – one size fits all?
14/09/2013 → 16/09/2013
Granada, SpainEvent: Workshop
- child mortality, child growth, inequalities, capabilities, multidisciplinary approaches, context, NUTRITION TRANSITION, BIRTH-WEIGHT, DEVELOPING-COUNTRIES, THRIFTY PHENOTYPE, INCOME COUNTRIES, HEALTH, HYPOTHESIS, INFANTS, OBESITY, AGE
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