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1.
Eur J Prev Cardiol ; 26(2_suppl): 47-54, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31766914

ABSTRACT

Type 2 diabetes mellitus (T2DM) is associated with a two- to four-fold increased risk of developing cardiovascular disease (CVD) and microvascular complications, which may already be present before diagnosis. It is, therefore, important to detect people with an increased risk of T2DM at an early stage. In order to identify individuals with so-called 'pre-diabetes', comprising impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), current guidelines have developed definitions based on fasting plasma glucose, two-hour glucose concentrations and haemoglobin A1c. Subjects with pre-diabetes are at an increased risk of developing T2DM and CVD. This elevated risk seems similar according to the different criteria used to define pre-diabetes. The risk of progression to T2DM or CVD does, however, depend on other risk factors such as sex, body mass index and ethnicity. Based on the risk factors to develop T2DM, many risk assessment models have been developed to identify those at highest risk. These models perform well to identify those at risk and could be used to initiate preventive interventions. Many studies have shown that lifestyle modification and metformin are effective in preventing the development of T2DM, although lifestyle modification seems to have a more sustainable effect. In addition, lifestyle modification seems more effective in those with IGT than those with IFG. In this review, we will describe the different definitions used to define pre-diabetes, progression from pre-diabetes to T2DM or other vascular complications, risk factors associated with progressions and the management of progression to T2DM, ending with clinical recommendations.


Subject(s)
Prediabetic State/diagnosis , Prediabetic State/therapy , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/etiology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/etiology , Disease Progression , Glucose Intolerance , Glucose Tolerance Test , Glycated Hemoglobin/analysis , Humans , Life Style , Risk
2.
Public Health Nutr ; 22(6): 1037-1047, 2019 04.
Article in English | MEDLINE | ID: mdl-30523774

ABSTRACT

OBJECTIVE: To explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures. DESIGN: Cross-sectional survey. SETTING: Urban regions in Belgium, France, Hungary, the Netherlands and the UK.ParticipantsEuropean adults (n 4942). Supermarkets and local food shops were classified as 'food retailers providing healthier options'; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as 'food retailers providing less healthy options'. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages). RESULTS: Only the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (ß = -129·6; 95 % CI -224·3, -34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns. CONCLUSIONS: More complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.


Subject(s)
Diet/methods , Diet/statistics & numerical data , Food Supply/methods , Food Supply/statistics & numerical data , Commerce/statistics & numerical data , Cross-Sectional Studies , Europe , Female , Humans , Male , Middle Aged , Restaurants/statistics & numerical data
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