The common drivers of children and young people's health and wellbeing across 13 local government areas: a systems view.

BACKGROUND: System dynamics approaches, including group model building (GMB) and causal loop diagrams (CLDs), can be used to document complex public health problems from a community perspective. This paper aims to apply Social Network Analysis (SNA) methods to combine multiple CLDs created by local communities into a summary CLD, to identify common drivers of the health and wellbeing of children and young people. METHODS: Thirteen community CLDs regarding children and young people health and wellbeing were merged into one diagram involving three steps: (1) combining variable names; (2) CLD merging, where multiple CLDs were combined into one CLD with a set of unique variables and connections; (3) paring, where the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to generate a cut-point to reduce the number of variables and connections and to rank the overall importance of each variable in the merged CLD. RESULTS: Combining variable names resulted in 290 variables across the 13 CLDS. A total of 1,042 causal links were identified in the merged CLD. The DEMATEL analysis of the merged CLD identified 23 common variables with a net importance between 1.0 and 4.5 R + C values and 57 causal links. The variables with the highest net importance were 'mental health' and 'social connection & support' classified as high net receivers of influence within the system. CONCLUSIONS: Combining large CLDs into a simple diagram represents a generalisable model of the drivers of complex health problems.

The Food Environment of Primary School Learners in a Low-to-Middle-Income Area in Cape Town, South Africa.

Rapid changes in food environments, where less nutritious foods have become cheaper and more accessible, have led to the double burden of malnutrition (DBM). The role food environments have played in shaping the DBM has attained global interest. There is a paucity of food environment research in low-to-middle-income countries. We conducted a case study of the food environments of school aged learners. A primary school in Cape Town was recruited. A multi-method design was used: a home food and eating behaviours questionnaire completed by 102 household respondents and four questions completed by 152 learners; learner participatory photography; a semi-structured school principal interview; a tuckshop inventory; observation of three-day tuckshop purchases. Foods that were commonly present in households: refined carbohydrates, fats/oils, chicken, processed meats, vegetables, fruit, legumes, snacks/drinks. Two thirds of households had rules about unhealthy drinks/snacks, ate supper together and in front of the TV, ate a home cooked meal five-seven times/week and ate breakfast together under two times/week. Vegetables were eaten under two times/week in 45% of households. A majority of learners (84%) took a lunchbox to school. Twenty-five learners photographed their food environment and 15 participated in semi-structured interviews. Six themes emerged: where to buy; what is available in the home; meal composition; family dynamics; peer engagement; food preparation. Items bought at informal food outlets included snacks, drinks and grocery staples. The principal interview revealed the establishment of a healthy school food environment, including a vegetable garden, although unhealthy snacks were sold at the tuckshop. Key dimensions of the food environment that require further investigation in disadvantaged urban and informal settlement areas include the home availability of unhealthy foods, eating behaviours in households and healthfulness of foods sold by informal food outlets.

Adapting the SPOTLIGHT Virtual Audit Tool to assess food and activity environments relevant for adolescents: a validity and reliability study.

BACKGROUND: Physical inactivity and unhealthy diet are key behavioral determinants underlying obesity. The neighborhood environment represents an important arena for modifying these behaviors, and hence reliable and valid tools to measure it are needed. Most existing virtual audit tools have been designed to assess either food or activity environments deemed relevant for adults. Thus, there is a need for a tool that combines the assessment of food and activity environments, and which focuses on aspects of the environment relevant for youth. OBJECTIVE: The aims of the present study were: (a) to adapt the SPOTLIGHT Virtual Audit Tool (S-VAT) developed to assess characteristics of the built environment deemed relevant for adults for use in an adolescent population, (b) to assess the tool's inter- and intra-rater reliability, and (c) to assess its criterion validity by comparing the virtual audit to a field audit. METHODS: The tool adaptation was based on literature review and on results of a qualitative survey investigating how adolescents perceived the influence of the environment on dietary and physical activity behaviors. Sixty streets (148 street segments) in six neighborhoods were randomly selected as the study sample. Two raters assessed the inter- and intra-rater reliability and criterion validity, comparing the virtual audit tool to a field audit. The results were presented as percentage agreement and Cohen's kappa (κ). RESULTS: Intra-rater agreement was found to be moderate to almost perfect (κ = 0.44-0.96) in all categories, except in the category aesthetics (κ = 0.40). Inter-rater agreement between auditors ranged from fair to substantial for all categories (κ = 0.24-0.80). Criterion validity was found to be moderate to almost perfect (κ = 0.56-0.82) for most categories, except aesthetics and grocery stores (κ = 0.26-0.35). CONCLUSION: The adapted version of the S-VAT can be used to provide reliable and valid data on built environment characteristics deemed relevant for physical activity and dietary behavior among adolescents.

Sodium Content of Lunches and Snacks Provided in Australian Long Day Care Centres: A Cross-Sectional Study.

We determined the average amount of sodium provided in lunches and snacks and the average amount of sodium consumed at lunch in a convenience sample of Australian preschool children attending Long Day Care (LDC). Sodium content of lunches and snacks was determined from standardised recipes. Individual children's sodium intake was estimated by a validated visual plate waste scale method. Five recipes (lunch n = 35, snacks n = 70) collected from 7 LDC centres; 95 children (50 boys) mean age 3.5 (SD) (0.2) years lunch intakes were assessed. Average total amount of sodium provided from two snacks and one lunch: 590 (146) mg, representing ~59% of the Australian Upper Level (UL) of intake (1000 mg/day sodium). Average total amount of sodium consumed: 541 (98) mg representing ~54% of the UL. Across all centres, the average sodium and energy consumed from lunch: 186 (108) mg (~19% of UL); 948 (437) kJ (38% of energy allowance); morning snacks: 63 (45) mg (6% of UL), 535 (183) kJ (21% of energy allowance); afternoon snacks: 291 (97) mg (29% of UL), 464 (171) kJ energy (46% of energy allowance). Australian LDC centres providing lunches cooked on site resulted in relatively low-sodium lunches.

The provision of ultra-processed foods and their contribution to sodium availability in Australian long day care centres.

OBJECTIVES: To categorize and assess all foods, beverages and ingredients provided over one week at Australian long day care (LDC) centres according to four levels of food processing and to assess the contribution of Na from each level of processing. DESIGN: Cross-sectional. SETTING: Menus for lunch, morning and afternoon snacks were collected from LDC centres. The level of food processing of all foods, beverages and ingredients was assessed utilizing a four-level food processing classification system: minimally processed (MP), processed culinary ingredients (PCI), processed (P) and ultra-processed (ULP). RESULTS: A total of thirty-five menus (lunch, n 35; snacks, n 70) provided to 1-5-year-old children were collected from seven LDC centres. Proportions of foodstuffs classified as MP, PCI, P and ULP were 54, 10, 15 and 21 %, respectively. All lunches were classified as MP. ULP foods accounted for 6 % of morning snacks; 41 % of afternoon snacks. Mean daily amount of Na provided per child across all centres was 633 (sd 151) mg. ULP foods provided 40 % of Na, followed by P (35 %), MP (23 %) and PCI (2 %). CONCLUSIONS: Centres provided foods resulting in a mean total daily Na content that represented 63 % of the recommended Upper Level of Intake for Na in this age group. A significant proportion of ULP snack foods were included, which were the major contributor to total daily Na intake. Replacement of ULP snack foods with MP lower-Na alternatives is recommended.

Dietary Intake and Sources of Potassium and the Relationship to Dietary Sodium in a Sample of Australian Pre-School Children.

The aim of this study was to determine the intake and food sources of potassium and the molar sodium:potassium (Na:K) ratio in a sample of Australian pre-school children. Mothers provided dietary recalls of their 3.5 years old children (previous participants of Melbourne Infant Feeding Activity and Nutrition Trial). The average daily potassium intake, the contribution of food groups to daily potassium intake, the Na:K ratio, and daily serves of fruit, dairy, and vegetables, were assessed via three unscheduled 24 h dietary recalls. The sample included 251 Australian children (125 male), mean age 3.5 (0.19) (SD) years. Mean potassium intake was 1618 (267) mg/day, the Na:K ratio was 1.47 (0.5) and 54% of children did not meet the Australian recommended adequate intake (AI) of 2000 mg/day for potassium. Main food sources of potassium were milk (27%), fruit (19%), and vegetable (14%) products/dishes. Food groups with the highest Na:K ratio were processed meats (7.8), white bread/rolls (6.0), and savoury sauces and condiments (5.4). Children had a mean intake of 1.4 (0.75) serves of fruit, 1.4 (0.72) dairy, and 0.52 (0.32) serves of vegetables per day. The majority of children had potassium intakes below the recommended AI. The Na:K ratio exceeded the recommended level of 1 and the average intake of vegetables was 2 serves/day below the recommended 2.5 serves/day and only 20% of recommended intake. An increase in vegetable consumption in pre-school children is recommended to increase dietary potassium and has the potential to decrease the Na:K ratio which is likely to have long-term health benefits.

Dietary sources and sodium intake in a sample of Australian preschool children.

OBJECTIVES: To assess dietary sodium intake and the food sources of sodium in a sample of Australian preschool children. DESIGN: Cross-sectional. SETTING: Mothers were followed up when children were approximately 3.5 years of age after participating in a cluster randomised controlled trial: the Melbourne Infant Feeding Activity and Nutrition Trial Program. PARTICIPANTS: 251 Australian children aged 3.5 ± 0.19 (SD) years. PRIMARY AND SECONDARY OUTCOME MEASURES: The average daily sodium intake was determined using three unscheduled 24 h dietary recalls. The contributions of food groups, core, discretionary and processed foods to daily sodium intake were assessed. RESULTS: The average sodium intake was 1508 ± 495 (SD) mg/day, (salt equivalent 3.9 ± 1.3 (SD) g/day) and 87% of children exceeded the Australian Upper Level of Intake (UL) for sodium of 1000 mg/day (salt equivalent 2.6 g/day). Main food sources of sodium were cereal/cereal products (25%), milk products (19%), meat, poultry/game (17%) and cereal-based products (15%). Core foods contributed 65%, and discretionary foods 35% of total daily sodium intake, and within the total diet, minimally processed, processed, processed culinary ingredient and ultraprocessed foods contributed 16%, 35%, 1% and 48% of sodium, respectively. CONCLUSIONS: Within this sample, most children exceeded the recommended UL for sodium. Core and ultraprocessed foods were key sources of sodium which suggests that reductions in the sodium content of these foods are required to reduce sodium intake in young children. These data also provide further support for public health campaigns that seek to reduce consumption of energy-dense, nutrient-poor foods.