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Early hominins were not limited to particular sites or localities in a paleontological or archeological sense, but lived and died in complex and dynamic landscapes and ecosystems of which we have partial, incomplete records. The fossil evidence of early hominin paleoenvironments is always limited, sometimes providing brief snapshots of small areas, other times affording very coarse chronological and spatial resolution over large distances. Taphonomic conditions typically vary within any one locality over time, and from one locality to another. And yet, it is these partial and biased records that we use to build an understanding of the forces that have shaped our evolution.
In a book on African paleoecology and human evolution, it is important to define several key themes, including biomes, vegetation formations and associations, as well as plant physiognomy. We first define these terms, before examining the sources of data employed in paleoenvironmental reconstructions. Finally, we provide an overview of the approaches used to understand past habitats, which underpin the chapters on the specific sites which make use of these approaches to refine our understanding of African paleoenvironments and the place of hominins within them.
In this chapter we review the evidence for hominid paleoenvironments in tropical Africa from the late Miocene to the early Pleistocene (Figure 15.1). Here we use the term hominid to refer to the family of the great apes and humans (family Hominidae, superfamily Hominoidea), and hominin (tribe Hominini) for the clade on the human side of the divergence from our last common ancestor with the genus Pan (Figure 15.2). This review is intended to complement the other regional reviews (northern African and southern African sites, see Chapters 6 and 36, respectively) and the overviews of Miocene to Holocene faunas (late Miocene and early Pliocene by Doman and Goble Early, this volume and Middle Pleistocene to Holocene by Faith, Chapter 5). The methods used in the reconstruction of past environments, e.g., stable isotopes, ecomorphology, community paleoecology, are summarized in Andrews and colleagues (Chapter 2).
Humans evolved in the dynamic landscapes of Africa under conditions of pronounced climatic, geological and environmental change during the past 7 million years. This book brings together detailed records of the paleontological and archaeological sites in Africa that provide the basic evidence for understanding the environments in which we evolved. Chapters cover specific sites, with comprehensive accounts of their geology, paleontology, paleobotany, and their ecological significance for our evolution. Other chapters provide important regional syntheses of past ecological conditions. This book is unique in merging a broad geographic scope (all of Africa) and deep time framework (the past 7 million years) in discussing the geological context and paleontological records of our evolution and that of organisms that evolved alongside our ancestors. It will offer important insights to anyone interested in human evolution, including researchers and graduate students in paleontology, archaeology, anthropology and geology.
The aim of the study was to assess the impact of different lunchbox messages on parents’ intention to pack a healthy lunchbox.
Design:
This study employed an experimental design.
Setting:
A series of messages were developed to align with the six constructs of the Health Belief Model. Messages were also developed that were (and were not) personalised and varied based on the source of the information provided (university, school, dietitian and health promotion service). During a telephone survey, participants were read the content of each message and asked about their intention to pack a healthy lunchbox.
Participants:
Parents of primary school-aged children were randomised to receive different messages to encourage the packing of healthy lunchboxes.
Results:
The study was completed by 511 parents. Linear mixed regression analyses identified significant differences (P < 0·05) in intention scores between variant messages targeting the same behavioural constructs for ‘susceptibility’, ‘severity’, ‘benefits’ and ‘barriers’ but not ‘cues to action’ or ‘self-efficacy’. The highest mean behavioural intention score was for ‘benefits’, whilst the lowest mean score was for ‘barriers’. There were no significant differences in intention scores of parents receiving messages from a dietitian, university, health promotion team or school (P = 0·37). Intention scores did not differ in which messages were personalised based on child’s name (P = 0·84) or grade level (P = 0·54).
Conclusions:
The findings suggest that messages that focus on the benefits of packing healthy lunchboxes may be particularly useful in improving intentions of parents to pack healthy foods for their children to consume at school.
The present study describes the energy content of primary-school children’s lunchboxes and the proportion of lunchbox foods considered discretionary. Subgroup analyses by sex, socio-economic status, age and weight status were undertaken.
Design:
A cross-sectional study was conducted. Mean kilojoule content, number of items and categorisation of foods and drinks in lunchboxes as ‘everyday’ (healthy) or discretionary (sometimes) foods were assessed via a valid and reliable lunchbox observational audit.
Setting:
Twelve Catholic primary schools (Kindergarten–Grade 6) located in the Hunter region of New South Wales, Australia.
Participants:
Kindergarten to Grade 6 primary-school students.
Results:
In total, 2143 children (57 %) had parental consent to have their lunchboxes observed. School lunchboxes contained a mean of 2748 kJ, of which 61·2 % of energy was from foods consistent with the Australian Dietary Guidelines and 38·8 % of energy was discretionary foods. The proportion of lunchboxes containing only healthy foods was 12 %. Children in Kindergarten–Grade 2 packed more servings of ‘everyday’ foods (3·32 v. 2·98, P < 0·01) compared with children in Grades 3–6. Children in Grades 3–6 had a higher percentage of energy from discretionary foods (39·1 v. 33·8 %, P < 0·01) compared with children in Kindergarten–Grade 2 and children from the most socio-economically disadvantaged areas had significantly higher total kilojoules in the school lunchbox compared with the least disadvantaged students (2842 v. 2544 kJ, P = 0·03).
Conclusions:
Foods packed within school lunchboxes may contribute to energy imbalance. The development of school policies and population-based strategies to support parents overcome barriers to packing healthy lunchboxes are warranted.
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