There is no recent validated short food frequency questionnaire (FFQ) for use in New Zealand (NZ) adults. This study aimed to evaluate the relative validity and reproducibility of a short FFQ in free-living NZ adults aged 30–59 years. A 57-item, semi-quantitative FFQ was developed and pre-tested. During a 12-month study period the FFQ was administrated twice with a 9-month interval between administrations. Four two-day diet records were collected at months 0, 3, 6, and 9 and a blood sample was taken at month 9. Spearman correlations were used to evaluate the validity of the FFQ with the eight-day diet records and selected biomarkers. Cross-classification analysis and the Bland–Altman method were used to assess the agreement between the FFQ and the diet record. Reproducibility over nine months was assessed using intra-class correlations. A total of 132 males and females completed both FFQs, the eight-day diet record, and provided a blood sample. The highest energy-adjusted correlation coefficients were observed for alcohol (0.81), cholesterol (0.61), and carbohydrate (0.61), with the lowest for sodium (0.29), thiamin (0.33), and niacin equivalents (0.34). More than three quarters of the participants were correctly classified into the same or adjacent quartile for most nutrients, with a low proportion of participants being grossly misclassified (<10%). For most nutrients, the limits of agreement from the Bland–Altman analyses were between 50% and 250%. A positive correlation was observed between dietary intakes and plasma biomarkers for all selected nutrients. The FFQ showed moderate to good reproducibility, with almost all reliability coefficients ranging from 0.60 to 0.80. This short FFQ was shown to validly and reliably rank individuals by their habitual intake of most major nutrients, indicating that the FFQ will offer a time-efficient way to assess the nutrient intake of NZ adults in future research.
10 August 2017 in JMIR Public Health and Surveillance
A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.
Background: South Asians (SA) have a four to five fold higher risk for type 2 diabetes mellitus (T2DM) in comparison to other Asian migrant groups. Dietary patterns have been attributed as an important independent modifiable risk factor. Objective: The aim of this review is to document the dietary patterns of SA migrants in Western countries and to summarize the evidence for the association of dietary patterns with T2DM and its predisposing factors. Methods: Using key search words articles from 1990 onwards were sourced from MEDLINE Pro- Quest and PubMed (not MEDLINE) databases for this narrative review. Results: A significant shift in meal pattern with frequent dining out and eating fast foods, traditional festival foods and Western desserts and snacks was common among SA. Consumption of potatoes, dairy, oil, meat and fish increased and beans, lentils, fruits and vegetables decreased post-migration. “Animal protein” and “fried snacks, sweets and high-fat dairy” were associated with greater insulin resistance and lower HDL cholesterol. A “mixed” dietary pattern was associated with obesity and hypertension and a “western” dietary pattern was associated with overall risk for Metabolic Syndrome. A 70% increase in the odds of diabetes per standard deviation in gram of protein intake was also observed. Conclusion: Dietary patterns pave the way to develop diabetes and other obesity related diseases among SA as duration of residence increases. The first five years since migration maybe a window of opportunity to provide targeted interventions to ensure maintenance of healthy dietary habits.
Objective: To investigate similarities and differences in dietary habits, nutrient intakes and health outcomes of South Asians (SA) and East and South-East Asians (ESEA) and the New Zealand European and Other (NZEO) group, and to examine differences within ‘Asian’ subgroups according to duration of residence.Design: Nutrient intake data from 24 h diet recalls and data from the dietary habits questionnaire, anthropometry and biochemical analyses from the cross-sectional 2008/09 Adult National Nutrition Survey in New Zealand were compared for participants categorized as SA, ESEA and NZEO.Subjects: Adults aged 15 years and older (n2995).Setting: New Zealand households.Results: SA were more likely to ‘never’ eat red meat in comparison to NZEO (P<0·001) and among females also in comparison to ESEA (P<0·05). Intakes of fats and some micronutrients (riboflavin, vitamin B6, B12, Se) were lower among SA than NZEO (P<0·05). Lower intakes of Zn and vitamin B12were reported by SA females compared with ESEA and NZEO females (P<0·05). A higher percentage of SA were obese using ethnic-specific cut-offs, had lower indices of Fe status and reported diagnosed diabetes compared with NZEO and ESEA. Recent SA male migrants had higher intakes of β-carotene, vitamin C and Ca compared with long-term migrants (P<0·05).Conclusions: The results of the present study indicate that dietary habits, nutrient intakes, blood profile and body size differ significantly between Asian subgroups. It also provides some evidence for changes in dietary intakes according to duration of residence especially for SA males.
The effects of drinking alcohol extend beyond the individuals concerned to the wider community. While there is recognition of such a global implication, currently no study has quantified the impact of alcohol consumption on aggregate wellbeing. This study aims to address this gap and attempts to investigate the impact of various levels of alcohol consumption on aggregate happiness. The study was carried out on a random selection of participants (n = 1,817) drawn from the 3Di consumer panel, comprising over 170,000 New Zealanders aged 18 and above. Using a subjective happiness scale (SHS) in conjunction with the Alcohol Use Disorders Identification Test (AUDIT), investigation was carried out to find whether drinking behaviour affected aggregate happiness. SHS and AUDIT scores were negatively correlated and the strength of the correlation increased with the intensity of problematic drinking. Regression analysis showed that the beta coefficient was positive for the low-risk (.074) and negative for the high-risk (−.081) category, suggesting approaches to intervene with the growing problem of alcohol consumption in modern societies. Measurements of happiness can explain the global implication of alcohol in wellbeing terms. The findings of this study indicated that low-risk drinkers affected aggregate happiness positively, whereas high-risk drinkers affected aggregate happiness negatively. While the latter observation is not new, the former raises the need to promote moderation in drinking alcohol for the common good of everyone.