Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (I). A cluster analysis of food consumption

M. L. Corrêa Leite, A. Nicolosi, S. Cristina, W. A. Hauser, P. Pugliese, G. Nappi

Research output: Contribution to journalArticle

Abstract

Objective: To describe the food consumption patterns of Italian elderly subjects and the factors associated with different dietary habits. Design: Cross-sectional study. Setting: Population-based study. Subjects: A total of 847 men and 1465 women aged 65 y or older, living in rural areas in the province of Pavia (Northern Italy) and near Cosenza (Southern Italy) in 1992-1993. Interventions: The dietary information was collected by means of a quantitative food-frequency questionnaire, with cluster analysis being used to segregate the subjects on the basis of similarities in their food consumption. A generalised logistic regression model including residence, age, living status, education, physical activity and degree of disability was fitted to assess the factors associated with different food consumption habits. Results: Six dietary clusters were selected for men and seven for women. The largest cluster for both genders was 'small eaters' (46% of men and 51% of women); 'big eaters', 'light diet' and 'alcohol' clusters were also identified for both genders. The men were also grouped into 'balanced diet' and 'cheese' clusters, and the women into 'sweet', 'greens' and 'butter' clusters. Conclusions: In addition to the influence of the area of residence - residents in Northern Italy consume greater amounts of animal fats, sugar and alcoholic beverages, and those living in Southern Italy have a greater intake of fruit, vegetables, fish and olive oil - all of the other studied variables predicted the probabilities of falling into a specific dietary cluster.

Original languageEnglish
Pages (from-to)1514-1521
Number of pages8
JournalEuropean Journal of Clinical Nutrition
Volume57
Issue number12
DOIs
Publication statusPublished - Dec 2003

Fingerprint

rural population
Rural Population
food consumption
Italy
Cluster Analysis
cluster analysis
Food
Feeding Behavior
Logistic Models
Aesculus
Diet
Alcoholic Beverages
Butter
alcoholic beverages
Plant Oils
animal fats and oils
Fish Oils
gender
butter
food frequency questionnaires

Keywords

  • Cluster analysis
  • Elderly
  • Food intake
  • Nutrition

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Food Science

Cite this

Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy : (I). A cluster analysis of food consumption. / Corrêa Leite, M. L.; Nicolosi, A.; Cristina, S.; Hauser, W. A.; Pugliese, P.; Nappi, G.

In: European Journal of Clinical Nutrition, Vol. 57, No. 12, 12.2003, p. 1514-1521.

Research output: Contribution to journalArticle

Corrêa Leite, M. L. ; Nicolosi, A. ; Cristina, S. ; Hauser, W. A. ; Pugliese, P. ; Nappi, G. / Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy : (I). A cluster analysis of food consumption. In: European Journal of Clinical Nutrition. 2003 ; Vol. 57, No. 12. pp. 1514-1521.
@article{acbc47e9e9fd442c9024bfc68dae366e,
title = "Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (I). A cluster analysis of food consumption",
abstract = "Objective: To describe the food consumption patterns of Italian elderly subjects and the factors associated with different dietary habits. Design: Cross-sectional study. Setting: Population-based study. Subjects: A total of 847 men and 1465 women aged 65 y or older, living in rural areas in the province of Pavia (Northern Italy) and near Cosenza (Southern Italy) in 1992-1993. Interventions: The dietary information was collected by means of a quantitative food-frequency questionnaire, with cluster analysis being used to segregate the subjects on the basis of similarities in their food consumption. A generalised logistic regression model including residence, age, living status, education, physical activity and degree of disability was fitted to assess the factors associated with different food consumption habits. Results: Six dietary clusters were selected for men and seven for women. The largest cluster for both genders was 'small eaters' (46{\%} of men and 51{\%} of women); 'big eaters', 'light diet' and 'alcohol' clusters were also identified for both genders. The men were also grouped into 'balanced diet' and 'cheese' clusters, and the women into 'sweet', 'greens' and 'butter' clusters. Conclusions: In addition to the influence of the area of residence - residents in Northern Italy consume greater amounts of animal fats, sugar and alcoholic beverages, and those living in Southern Italy have a greater intake of fruit, vegetables, fish and olive oil - all of the other studied variables predicted the probabilities of falling into a specific dietary cluster.",
keywords = "Cluster analysis, Elderly, Food intake, Nutrition",
author = "{Corr{\^e}a Leite}, {M. L.} and A. Nicolosi and S. Cristina and Hauser, {W. A.} and P. Pugliese and G. Nappi",
year = "2003",
month = "12",
doi = "10.1038/sj.ejcn.1601719",
language = "English",
volume = "57",
pages = "1514--1521",
journal = "European Journal of Clinical Nutrition",
issn = "0954-3007",
publisher = "Nature Publishing Group",
number = "12",

}

TY - JOUR

T1 - Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy

T2 - (I). A cluster analysis of food consumption

AU - Corrêa Leite, M. L.

AU - Nicolosi, A.

AU - Cristina, S.

AU - Hauser, W. A.

AU - Pugliese, P.

AU - Nappi, G.

PY - 2003/12

Y1 - 2003/12

N2 - Objective: To describe the food consumption patterns of Italian elderly subjects and the factors associated with different dietary habits. Design: Cross-sectional study. Setting: Population-based study. Subjects: A total of 847 men and 1465 women aged 65 y or older, living in rural areas in the province of Pavia (Northern Italy) and near Cosenza (Southern Italy) in 1992-1993. Interventions: The dietary information was collected by means of a quantitative food-frequency questionnaire, with cluster analysis being used to segregate the subjects on the basis of similarities in their food consumption. A generalised logistic regression model including residence, age, living status, education, physical activity and degree of disability was fitted to assess the factors associated with different food consumption habits. Results: Six dietary clusters were selected for men and seven for women. The largest cluster for both genders was 'small eaters' (46% of men and 51% of women); 'big eaters', 'light diet' and 'alcohol' clusters were also identified for both genders. The men were also grouped into 'balanced diet' and 'cheese' clusters, and the women into 'sweet', 'greens' and 'butter' clusters. Conclusions: In addition to the influence of the area of residence - residents in Northern Italy consume greater amounts of animal fats, sugar and alcoholic beverages, and those living in Southern Italy have a greater intake of fruit, vegetables, fish and olive oil - all of the other studied variables predicted the probabilities of falling into a specific dietary cluster.

AB - Objective: To describe the food consumption patterns of Italian elderly subjects and the factors associated with different dietary habits. Design: Cross-sectional study. Setting: Population-based study. Subjects: A total of 847 men and 1465 women aged 65 y or older, living in rural areas in the province of Pavia (Northern Italy) and near Cosenza (Southern Italy) in 1992-1993. Interventions: The dietary information was collected by means of a quantitative food-frequency questionnaire, with cluster analysis being used to segregate the subjects on the basis of similarities in their food consumption. A generalised logistic regression model including residence, age, living status, education, physical activity and degree of disability was fitted to assess the factors associated with different food consumption habits. Results: Six dietary clusters were selected for men and seven for women. The largest cluster for both genders was 'small eaters' (46% of men and 51% of women); 'big eaters', 'light diet' and 'alcohol' clusters were also identified for both genders. The men were also grouped into 'balanced diet' and 'cheese' clusters, and the women into 'sweet', 'greens' and 'butter' clusters. Conclusions: In addition to the influence of the area of residence - residents in Northern Italy consume greater amounts of animal fats, sugar and alcoholic beverages, and those living in Southern Italy have a greater intake of fruit, vegetables, fish and olive oil - all of the other studied variables predicted the probabilities of falling into a specific dietary cluster.

KW - Cluster analysis

KW - Elderly

KW - Food intake

KW - Nutrition

UR - http://www.scopus.com/inward/record.url?scp=0348143233&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0348143233&partnerID=8YFLogxK

U2 - 10.1038/sj.ejcn.1601719

DO - 10.1038/sj.ejcn.1601719

M3 - Article

C2 - 14647215

AN - SCOPUS:0348143233

VL - 57

SP - 1514

EP - 1521

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

SN - 0954-3007

IS - 12

ER -