Search

Objective To derive novel emergency weight estimation tables for New Zealand children aged 5-10 years using ethnicity and sex to increase accuracy and precision. Methods Using an existing dataset (collected in five New Zealand primary schools during July 2013; n = 376), body mass index and current emergency weight estimates were calculated. Stepwise regression with Akanke Information produced two best-fit models for predicting weight, one based on age and the other on height. Potential explanatory variables included ethnicity, sex and body habitus. Results The length-based model included height, ethnicity and body habitus. Accuracy (weight estimates within 10% of actual weight) for the length-based lookup table (74.8%) was similar to that for the Broselow-Luten tape (73.4%). The age-based model included age, sex, ethnicity and body habitus. Accuracy (51.3%) for the age-based lookup table was better than for existing formulae including Shann (45.7%), Advanced Paediatric Life Support (39.1%) and Theron (28.7%). Conclusion The most accurate method for weight estimation in Auckland children aged 5-10 years is either the novel length-based lookup table or the existing Broselow-Luten tape. When length-based methods are not possible, the age-based lookup tables incorporating age, sex, ethnicity and body habitus are more accurate than existing methods of weight estimation. [ABSTRACT FROM AUTHOR]

The prevalence of overweight and obesity is increasing worldwide at an alarming rate. An Internet-based weight-loss programme has the potential to reach larger numbers of people than traditional face-to-face programmes. A growing body of evidence supports the use of low glycaemic load (GL) diets for weight loss. The present study aimed to investigate the efficacy of an Internet-based weight-loss programme that included foods with a low GL. One hundred and three volunteers, with a body mass index (BMI) ≥28 kg m, enrolled into an Internet weight-loss programme. A dietitian counselled participants over the Internet via weekly interactive chat rooms and monthly e-mails. Participants self-recorded body weight and food intake directly on to the Internet site. Weight, BMI and waist circumference were measured, and dietary data collected, at baseline and 6 months. Seventy participants completed the 6-month weight-loss programme. Among these, mean weight, BMI and waist circumference significantly decreased by 3.5 kg (95% CI = 2.3-4.7), 1.2 kg m (95% CI = 0.8-1.7) and 4.8 cm (95% CI = 2.8-6.8), of baseline values respectively ( P < 0.001). Twenty-five (36%) of the 70 participants lost a clinically significant amount of weight (>5% of initial body weight). This descriptive study has shown that an Internet-based weight-loss programme with low GL principles can promote weight loss. This type of intervention and approach could be used to enhance other weight-loss strategies. [ABSTRACT FROM AUTHOR]

Aim: To investigate the bone health and associated risk factors of a group of South Asian women living in New Zealand. Studies on the Indian subcontinent suggest a high incidence of low bone mineral density in women with poor vitamin D status and low dietary calcium intake. Methods: Subjects were women of South Asian origin (n = 91) living in Auckland, New Zealand. Subjects were stratified by menopausal status. They completed a 4-day food diary, and provided a fasting blood sample. Bone mineral density was measured in the lumbar spine and proximal femur using dual X-ray densitometry. Results: Mean age of premenopausal (n = 71) and postmenopausal (n = 20) women was 39.8 ± 7.8 and 55.3 ± 5.4 years, respectively. Osteoporosis ( T-score ≤−2.5) was present in 32% of postmenopausal and 3% of premenopausal subjects, but only in the lumbar spine. Adequate 25(OH)D levels (>50 nmol/L) were found in only 22% of premenopausal, and 26% of postmenopausal women. A body mass index in the overweight or obese category was found in 61% of premenopausal and 75% of postmenopausal women. Conclusion: The high incidence of osteoporosis in the postmenopausal group could be associated with the early age of oophorectomy or menopause together with low vitamin D status. [ABSTRACT FROM AUTHOR]

Summary: Background: There is a relationship between childhood obesity and area‐level deprivation. While the New Zealand Index of Deprivation (NZDep) has been used widely in research for the past 20 years, the Index of Multiple Deprivation (IMD) was released in 2017. This study aims to investigate the association between deprivation and childhood obesity in New Zealand and compare measures of deprivation. Methods: Data from 316 794 4‐year‐olds in New Zealand undertaking the B4 School Check in 2010 to 2016, a national health and development screen, were analysed. Multilevel logistic regression models assessed the relationship between area‐level deprivation and individual‐level child obesity. Models were adjusted for age, sex, immigration status, ethnicity, and year. Deprivation was measured using the census‐based NZDep2013 (deciles) and the administrative data‐based IMD (deciles). The seven domains of the IMD were also considered. Results: The relationship between deprivation and obesity was very similar for the IMD and NZDep2013, point estimates were near identical, and confidence intervals overlapped substantially. Higher levels of deprivation were associated with a higher prevalence of child obesity. The relationship between deprivation and child obesity varied considerably across IMD domains. The education domain had the strongest association with child obesity and had an association with child obesity independent of the other domains of deprivation. Conclusion: Overall, there was little difference between the NZDep and IMD. However, the IMD's domains and IMD‐1 approach reveal more nuanced understandings of the deprivation‐obesity gradient, including the importance of area‐level education deprivation for predicting child obesity rates. [ABSTRACT FROM AUTHOR]