scholarly journals Differences in the risk of cardiovascular disease for movers and stayers in New Zealand: a survival analysis

2017 ◽  
Vol 63 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Frances Darlington-Pollock ◽  
Nichola Shackleton ◽  
Paul Norman ◽  
Arier C. Lee ◽  
Daniel Exeter
Keyword(s):  
Cardiovascular Disease ◽  
Survival Analysis ◽  
New Zealand

scholarly journals Equity in statin use in New Zealand

2014 ◽  
Vol 6 (1) ◽  
pp. 17 ◽  
Author(s):  
Pauline Norris ◽  
Simon Horsburgh ◽  
Gordon Becket ◽  
Shirley Keown ◽  
Bruce Arroll ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
New Zealand ◽  
Socioeconomic Position ◽  
Risk Groups ◽  
Cross Sectional Study ◽  
Age Group ◽  
Cross Sectional ◽  
Lower Socioeconomic ◽  
Statin Prescription ◽  
Statin Use

INTRODUCTION: Preventive medications such as statins are used to reduce cardiovascular risk. There is some evidence to suggest that people of lower socioeconomic position are less likely to be prescribed statins. In New Zealand, Maori have higher rates of cardiovascular disease. AIM: This study aimed to investigate statin utilisation by socioeconomic position and ethnicity in a region of New Zealand. METHODS: This was a cross-sectional study in which data were collected on all prescriptions dispensed from all pharmacies in one city during 2005/6. Linkage with national datasets provided information on patients’ age, gender and ethnicity. Socioeconomic position was identified using the New Zealand Index of Socioeconomic Deprivation 2006. RESULTS: Statin use increased with age until around 75 years. Below age 65 years, those in the most deprived socioeconomic areas were most likely to receive statins. In the 55–64 age group, 22.3% of the most deprived population received a statin prescription (compared with 17.5% of the mid and 18.6% of the least deprived group). At ages up to 75 years, use was higher amongst Maori than non-Maori, particularly in middle age, where Maori have a higher risk of cardiovascular disease. In the 45–54 age group, 11.6% of Maori received a statin prescription, compared with 8.7% of non-Maori. DISCUSSION: Statin use approximately matched the pattern of need, in contrast to other studies which found under-treatment of people of low socioeconomic position. A PHARMAC campaign to increase statin use may have increased use in high-risk groups in New Zealand. KEYWORDS: Ethnic groups; New Zealand; prescriptions; socioeconomic status; statins

scholarly journals Bayesian survival analysis of batsmen in Test cricket

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Oliver George Stevenson ◽  
Brendon J. Brewer
Keyword(s):  
Survival Analysis ◽  
New Zealand ◽  
Hierarchical Structure ◽  
Analysis Method ◽  
Selection Policy ◽  
Team Selection ◽  
The Hierarchical Structure ◽  
Two Stages ◽  
Practical Implications

AbstractCricketing knowledge tells us batting is more difficult early in a player’s innings but becomes easier as a player familiarizes themselves with the conditions. In this paper, we develop a Bayesian survival analysis method to predict the Test Match batting abilities for international cricketers. The model is applied in two stages, firstly to individual players, allowing us to quantify players’ initial and equilibrium batting abilities, and the rate of transition between the two. This is followed by implementing the model using a hierarchical structure, providing us with more general inference concerning a selected group of opening batsmen from New Zealand. The results indicate most players begin their innings playing with between only a quarter and half of their potential batting ability. Using the hierarchical structure we are able to make predictions for the batting abilities of the next opening batsman to debut for New Zealand. Additionally, we compare and identify players who excel in the role of opening the batting, which has practical implications in terms of batting order and team selection policy.

scholarly journals New Zealand Diabetes Cohort Study cardiovascular risk score for people with Type 2 diabetes: validation in the PREDICT cohort

2012 ◽  
Vol 4 (3) ◽  
pp. 181 ◽  
Author(s):  
Tom Robinson ◽  
C Raina Elley ◽  
Sue Wells ◽  
Elizabeth Robinson ◽  
Tim Kenealy ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Cohort Study ◽  
New Zealand ◽  
Cardiovascular Event ◽  
Cvd Risk ◽  
Risk Equation ◽  
Framingham Risk

INTRODUCTION: New Zealand (NZ) guidelines recommend treating people for cardiovascular disease (CVD) risk on the basis of five-year absolute risk using a NZ adaptation of the Framingham risk equation. A diabetes-specific Diabetes Cohort Study (DCS) CVD predictive risk model has been developed and validated using NZ Get Checked data. AIM: To revalidate the DCS model with an independent cohort of people routinely assessed using PREDICT, a web-based CVD risk assessment and management programme. METHODS: People with Type 2 diabetes without pre-existing CVD were identified amongst people who had a PREDICT risk assessment between 2002 and 2005. From this group we identified those with sufficient data to allow estimation of CVD risk with the DCS models. We compared the DCS models with the NZ Framingham risk equation in terms of discrimination, calibration, and reclassification implications. RESULTS: Of 3044 people in our study cohort, 1829 people had complete data and therefore had CVD risks calculated. Of this group, 12.8% (235) had a cardiovascular event during the five-year follow-up. The DCS models had better discrimination than the currently used equation, with C-statistics being 0.68 for the two DCS models and 0.65 for the NZ Framingham model. DISCUSSION: The DCS models were superior to the NZ Framingham equation at discriminating people with diabetes who will have a cardiovascular event. The adoption of a DCS model would lead to a small increase in the number of people with diabetes who are treated with medication, but potentially more CVD events would be avoided. KEYWORDS: Cardiovascular disease; diabetes; prevention; risk assessment; reliability and validity

scholarly journals Measuring Children’s Sodium and Potassium Intakes in New Zealand: A Pilot Study

Proceedings ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Helen Eyles ◽  
Neela Bhana ◽  
Sang Eun Lee ◽  
Carley Grimes ◽  
Rachael McLean ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
New Zealand ◽  
Pilot Study ◽  
High Potassium ◽  
Low Sodium ◽  
Sodium And Potassium

Background: Low sodium and high potassium intakes in childhood protect against rises in bloodpressure (BP) and risk of cardiovascular disease later in life [...]

Mental-Physical Comorbidity in Te Rau Hinengaro: The New Zealand Mental Health Survey

2006 ◽  
Vol 40 (10) ◽  
pp. 882-888 ◽  
Author(s):  
Kate M. Scott ◽  
Mark A. Oakley Browne ◽  
Magnus A. Mcgee ◽  
J. Elisabeth Wells ◽  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
New Zealand ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Composite International Diagnostic Interview ◽  
Hazardous Alcohol Use ◽  
Physical Conditions ◽  
Chronic Physical Conditions

Objective: To estimate the prevalence of chronic physical conditions, and the risk factors for those conditions, among those with 12 month mental disorder; to estimate the prevalence of 12 month mental disorder among those with chronic physical conditions. Method: A nationally representative face-to-face household survey was carried out in October 2003 to December 2004 with 12 992 participants aged 16 years and over, achieving a response rate of 73.3%. Mental disorders were measured with the World Mental Health version of the Composite International Diagnostic Interview (CIDI 3.0). Physical conditions were self-reported. All associations are reported adjusted for age and sex. Results: People with (any) mental disorder, relative to those without mental disorder, had higher prevalences of several chronic physical conditions (chronic pain, cardiovascular disease, high blood pressure and respiratory conditions) and chronic condition risk factors (smoking, overweight/obesity, hazardous alcohol use). Around a quarter of people with chronic physical conditions had a comorbid mental disorder compared with 15% of the population without chronic conditions. Significant relationships occurred between some mental disorders and obesity, cardiovascular disease and diabetes for females, but not for males. Conclusions: This paper provides evidence of substantial comorbidity between mental disorders and chronic physical conditions in New Zealand. This should be borne in mind by clinicians working in both mental health and medical services.

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