OBJECTIVES: To assess family resemblance in food habits in three generations of maternally related family members. DESIGN AND SUBJECTS: Ninety-seven adult women, their mothers and grandmothers were asked about nutrition knowledge, attitudes and fat intake. Nutrition knowledge and attitudes were determined by means of a self-administered questionnaire. A food frequency questionnaire was used to assess fat intake. RESULTS: Mean percentage energy derived from fat was 39% for the younger generation, and 40% for their mothers and grandmothers. Generations differed in their nutrition knowledge score (P <0.0001), the grandmothers having a lower nutrition knowledge than the other generations. Correlations of nutrition knowledge scores were 0.30 (95% confidence limits (c.l.) 0.10 and 0.48) between the younger and middle generations, 0.35 (95% c.l. 0.16 and 0.52) between the middle and older generations, and 0.14 (95% c.l. -0.06 and 0.34) between the younger generation and their grandmothers. For attitudes towards high-fat foods and their low-fat alternatives these figures were 0.27 (95% c.l. 0.07 and 0.45), 0.22 (95% c.l. 0.01 and 0.41), and 0.17 (95% c.l. - 0.03 and 0.36), respectively, while for energy percentage of fat intake the correlations were only 0.19 (95% c.l. -0.01 and 0.37), -0.02 (95% c.l. -0.22 and 0.18), and 0.12 (95% c.l. limits - 0.08 and 0.31), respectively. Within generations the correlations between attitudes and nutrition knowledge or percentage energy derived from fat were found to be higher in the middle generation than in other generations. No statistically significant correlations were found between nutrition knowledge and percentage energy derived from fat. CONCLUSIONS: From this study it can be concluded that mothers and their adult daughters resemble each other in nutrition knowledge and attitudes.
OBJECTIVES: To assess family resemblance in food habits in three generations of maternally related family members. DESIGN AND SUBJECTS: Ninety-seven adult women, their mothers and grandmothers were asked about nutrition knowledge, attitudes and fat intake. Nutrition knowledge and attitudes were determined by means of a self-administered questionnaire. A food frequency questionnaire was used to assess fat intake. RESULTS: Mean percentage energy derived from fat was 39% for the younger generation, and 40% for their mothers and grandmothers. Generations differed in their nutrition knowledge score (P <0.0001), the grandmothers having a lower nutrition knowledge than the other generations. Correlations of nutrition knowledge scores were 0.30 (95% confidence limits (c.l.) 0.10 and 0.48) between the younger and middle generations, 0.35 (95% c.l. 0.16 and 0.52) between the middle and older generations, and 0.14 (95% c.l. -0.06 and 0.34) between the younger generation and their grandmothers. For attitudes towards high-fat foods and their low-fat alternatives these figures were 0.27 (95% c.l. 0.07 and 0.45), 0.22 (95% c.l. 0.01 and 0.41), and 0.17 (95% c.l. - 0.03 and 0.36), respectively, while for energy percentage of fat intake the correlations were only 0.19 (95% c.l. -0.01 and 0.37), -0.02 (95% c.l. -0.22 and 0.18), and 0.12 (95% c.l. limits - 0.08 and 0.31), respectively. Within generations the correlations between attitudes and nutrition knowledge or percentage energy derived from fat were found to be higher in the middle generation than in other generations. No statistically significant correlations were found between nutrition knowledge and percentage energy derived from fat. CONCLUSIONS: From this study it can be concluded that mothers and their adult daughters resemble each other in nutrition knowledge and attitudes.
Authors: Kathryn E Demos; Jeanne M McCaffery; J Graham Thomas; Kimberly A Mailloux; Todd A Hare; Rena R Wing Journal: Appetite Date: 2017-03-15 Impact factor: 3.868
Authors: Fabiana Lopes Nalon de Queiroz; António Raposo; Heesup Han; Martín Nader; Antonio Ariza-Montes; Renata Puppin Zandonadi Journal: Int J Environ Res Public Health Date: 2022-04-08 Impact factor: 4.614
Authors: Marije N van Doorn-van Atten; Lisette C P G M de Groot; Jeanne H M de Vries; Annemien Haveman-Nies Journal: Nutrients Date: 2018-08-10 Impact factor: 5.717