According to a WHO estimate, 50% of the total burden of diseases in men and 25% in women for the EURO-A group (which includes the highly developed countries of the WHO European Region) are attributable to unhealthy life-styles. The aim of the present study was to analyze anthropometric, biochemical and behavioral risk factors using data from the Italian Longitudinal Study on Aging (ILSA), a population-based study of older Italians initiated in 1992 to study those chronic conditions and attendant risk factors that contribute most substantially to morbidity, disability and mortality.
In this descriptive study, we calculated the means and distribution of risk factors in a sample of 5632 Italian subjects aged 65-84 by gender, age class and geographic area, and identified the proportion of these subgroups at higher risk. Analyses include data from the first (1992-93) and second (1995-96) examinations of this cohort.
Over 64% of older Italian participants were overweight in 1992. More than 70% had blood pressure in the borderline or definitely hypertensive range, and almost one-third had hyperlipidemic serum cholesterol levels, including subjects receiving treatment for these conditions. Based on Body Mass Index, more women than men were obese (27 vs 15%) and more women than men were hyperlipidemic in all age classes (38 vs 23%). Approximately 13% of the sample had glucose levels exceeding the recommended 126 mg/dL. Men were found to consume on average about 41 grams of alcohol daily and women 17 g/d. Lastly, we found that approximately 20% of men and 8% of women were smokers in 1992 but that smoking tended to diminish with age.
As the Italian population rapidly ages, the burden of disease and disability is increasing, necessitating more focused, immediate and effective prevention programs. We have identified a number of critical concerns ripe for intervention. The results of this study can better focus such efforts and help guide long-term health planning and policy.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
"Information on non-dietary variables that could be considered as potential confounders in the analyses were collected through a common questionnaire. The prevalence of a series of well-known non-dietary risk factors such as smoking, overweight and obesity is consistent with the results of other Italian studies focused on elderly subjects (Farchi et al. 2004). The adjustment for these above-mentioned factors has to be considered mandatory in studies investigating dietary influence on health and survival. "
[Show abstract][Hide abstract] ABSTRACT: Dietary habits play an important role in healthy ageing. We have investigated the role of dietary patterns on overall mortality in a large series of Italian elderly, recruited in five EPIC cohorts in Northern (Varese and Turin), Central (Florence) and Southern Italy (Naples and Ragusa).A total of 5611 subjects (72.6 % women) aged 60 years or older, enrolled in 1993-1998, were prospectively followed (median 6.2 years), with 152 deaths (98 women). Four major dietary patterns were identified by using an exploratory factor analysis based on dietary information collected at enrollment. The associations between these dietary patterns and overall mortality were evaluated by Cox models adjusted for potential confounders. The 'Olive Oil & Salad' pattern, characterised by a high consumption of olive oil, raw vegetables, soups and poultry, emerged as being inversely associated with overall mortality in both crude and adjusted models. After adjustment for gender, age and caloric intake, overall mortality was reduced by approximately 50 % in the highest quartile and a significant trend emerged (P = 0.008). This association persisted after adjusting for several additional confounders (hazard ratio (HR) 0.50; 95 % CI 0.29, 0.86; P for trend = 0.02). An association of the 'Pasta & Meat' pattern (characterised by pasta, tomato sauce, red meat, processed meat, added animal fat, white bread and wine) with increased overall mortality was also suggested, but only for the highest quartile in a multivariate model. Dietary recommendations aimed at the Italian elderly population should support a dietary pattern characterised by a high consumption of olive oil, raw vegetables and poultry.
British Journal Of Nutrition 08/2007; 98(2):406-15. DOI:10.1017/S0007114507704981 · 3.45 Impact Factor
"Benefits of smoking cessation exist even at the age of over 60 years [1,2]. Although there is large and consistent evidence that the proportion of current smokers declines by age including those above 65 [3-7], there are substantial subpopulations that maintain this health detrimental behavior . Even among the oldest olds, individuals maintain smoking . "
[Show abstract][Hide abstract] ABSTRACT: Evidence suggests a higher proportion of current smokers among female than among male ever smokers at the age above 50. However, little is known about the proportion of current smokers among ever smokers in old age groups with consideration of women in comparison to men from general population samples. The goal was to analyze the proportions of current smokers among female and among male ever smokers including those older than 80.
Cross-sectional survey study with a national probability household sample in Germany. Data of 179,472 participants aged 10 or older were used based on face-to-face in-home interviews or questionnaires. The proportions of current smokers among ever smokers were analyzed dependent on age, age of onset of smoking and cigarettes per day including effect modification by gender.
Proportions of current smokers tended to be larger among female than among male ever smokers aged 40 or above. Women compared to men showed adjusted odds ratios of 1.7 to 6.9 at ages 40 to 90 or older in contrast to men. No such interaction existed for age of onset of smoking or cigarettes per day.
Special emphasis should be given to current smokers among the female general population at the age of 40 or above in public health intervention.
BMC Public Health 07/2005; 5(1):57. DOI:10.1186/1471-2458-5-57 · 2.26 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: ObjectivesTo identify the relationship among cognitive status, psychological conditions, anthropometric measurements and life-style
in a sample of elderly Italian men and women.
MethodsThree hundred and six volunteers for ZINCAGE Project recruited. The sample was made up of healthy older adults living in the
Marche Region aged 65 and over. All elderly were given a complete medical, anthropometric assessment, and psycho-social evaluation.
ResultsOverall, the participants perceived themselves to be in very good or good (22%) or fair (69%) health; only 9% reported a poor
health status. The 46% of the sample fell within the normal body mass index (BMI) range, though 38% were overweight, 12% were
obese, and only 4% were underweight. In both sexes, BMI significantly decreased with age (p<0.001). BMI was positively associated
with performing sedentary activities (r = 0.188; p < 0.001). Levels of both sedentary (r = 0.221; p < 0.001) and non-sedentary
(r = 0.258; p < 0.001) leisure activities were positively associated with education level (p<0.05). It was found that lower
scores of physical activity were associated to higher scores of Geriatric Depression Scale (r=−0.425; p<0.01), lower scores
of Mini Mental State Examination (r=0.266; p<0.001) and higher score of Perceived Stress Scale (r=−0.131; p<0.05).
ConclusionMen and women lead different lifestyles and have a different psychological status, with advancing age consequently stressing
the need for healthy lifestyle programmes particularly in the case of overweight and obese elderly people.
Key wordsLifestyle-ageing-anthropometric status-ZINCAGE project
The Journal of Nutrition Health and Aging 08/2010; 14(7):515-522. DOI:10.1007/s12603-010-0098-6 · 3.00 Impact Factor