Formation and Validation of the Healthy Diet Index (HDI) for Evaluation of Diet Quality in Healthcare.

Lack of tools to evaluate the quality of diet impedes dietary counselling in healthcare. We constructed a scoring for a validated food intake questionnaire, to measure the adherence to a healthy diet that prevents type 2 diabetes (T2D). The Healthy Diet Index (HDI) consists of seven weighted domains (meal pattern, grains, fruit and vegetables, fats, fish and meat, dairy, snacks and treats). We studied the correlations of the HDI with nutrient intakes calculated from 7-day food records among 52 men and 25 women, and associations of HDI with biomarkers and anthropometrics among 645 men and 2455 women. The HDI correlated inversely with total fat (Pearson's r = -0.37), saturated fat (r = -0.37), monounsaturated fat (r = -0.37), and the glycaemic index of diet (r = -0.32) and positively with carbohydrates (r = 0.23), protein (r = 0.25), fibre (r = 0.66), magnesium (r = 0.26), iron (r = 0.25), and vitamin D (r = 0.27), (p < 0.05 for all). In the linear regression model adjusted for BMI and age, HDI is associated inversely with waist circumference, concentrations of fasting and 2-h glucose and triglycerides in men and women, total and LDL cholesterol in women, and fasting insulin in men (p < 0.05 for all). The HDI proved to be a valid tool to measure adherence to a health-promoting diet and to support individualised dietary counselling.

Earlier life leisure-time physical activity in relation to age-related frailty syndrome.

BACKGROUND: frailty syndrome is common amongst older people. Low physical activity is part of frailty, but long-term prospective studies investigating leisure-time physical activity (LTPA) during the life course as a predictor of frailty are still warranted. The aim of this study is to investigate whether earlier life LTPA predicts frailty in older age. METHODS: the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) included older adults (aged 60-77 years) from the general population who were at increased risk of cognitive decline. Frailty was assessed for 1,137 participants at a baseline visit using a modified version of Fried's phenotype, including five criteria: weight loss, exhaustion, weakness, slowness and low physical activity. Self-reported data on earlier life LTPA were available from previous population-based studies (average follow-up time 13.6 years). A binomial logistic regression analysis was used to investigate the association between earlier life LTPA and pre-frailty/frailty in older age. RESULTS: the prevalence of frailty and pre-frailty was 0.8% and 27.3%, respectively. In the analyses, pre-frail and frail groups were combined. People who had been physically very active (OR 0.37, 95% CI 0.23-0.60) or moderately active (OR 0.45, 95% CI 0.32-0.65) earlier in life had lower odds of becoming pre-frail/frail than individuals who had been sedentary. CONCLUSIONS: frailty was rare in this relatively healthy study population, but almost a third of the participants were pre-frail. Earlier life LTPA was associated with lower levels of pre-frailty/frailty. The results highlight the importance of physical activity when aiming to promote healthy old age.

Changes in lifestyle modestly reduce the estimated cardiovascular disease risk in one-year follow-up of the Finnish diabetes prevention program (FIN-D2D).

AIMS: The purpose of this study was to assess whether changes in self-rated physical activity and diet during a type 2 diabetes (T2D) prevention program were associated with changes in estimated 10-year risk for cardiovascular disease (CVD) events and mortality in people at high risk for T2D. METHODS: Individuals were identified and offered lifestyle counseling as part of the Finnish diabetes prevention program. Ten-year risk for estimated CVD events and mortality were calculated with Framingham Risk Score (FRS) and Systematic Coronary Risk Evaluation (SCORE) formula. FRS was available for 774 men and 1474 women and SCORE for 961 men and 1766 women. RESULTS: During the one-year follow-up, 9.6% of the men reported both an increase in physical activity and improved dietary pattern, 4.1% an increase in physical activity, 39.3% an increase in improved dietary pattern, while 47.0% reported no lifestyle changes. Corresponding numbers for women were 14.2%, 3.8%, 39.2% and 42.7%. Estimated 10-year risk for CVD events decreased 3.5% in men and 1.5% in women reporting an increase in physical activity and improvement in diet, compared to an increase of 0.15% in men (p<0.001, between groups) and decrease of 0.43% (p=0.027, between groups) in women with no lifestyle changes after adjustment for age and baseline FRS. Numbers needed to treat to prevent one CVD event by lifestyle changes were 25 for men and 59 for women. Lifestyle changes had no effect on estimated CVD mortality risk. CONCLUSIONS: Lifestyle counseling offered in primary health care for one year results in favorable changes in lifestyle, and lowered the estimated 10-year risk for CVD events.

A simple tool for diet evaluation in primary health care: validation of a 16-item food intake questionnaire.

Our aim was to validate a 16-item food intake questionnaire (16-FIQ) and create an easy to use method to estimate patients' nutrient intake in primary health care. Participants (52 men, 25 women) completed a 7-day food record and a 16-FIQ. Food and nutrient intakes were calculated and compared using Spearman correlation. Further, nutrient intakes were compared using kappa-statistics and exact and opposite agreement of intake tertiles. The results indicated that the 16-FIQ reliably categorized individuals according to their nutrient intakes. Methods to estimate nutrient intake based on the answers given in 16-FIQ were created. In linear regression models nutrient intake estimates from the food records were used as the dependent variables and sum variables derived from the 16-FIQ were used as the independent variables. Valid regression models were created for the energy proportion of fat, saturated fat, and sucrose and the amount of fibre (g), vitamin C (mg), iron (mg), and vitamin D (µg) intake. The 16-FIQ is a valid method for estimating nutrient intakes in group level. In addition, the 16-FIQ could be a useful tool to facilitate identification of people in need of dietary counselling and to monitor the effect of counselling in primary health care.