Examination of diet and related factors for husbands and wives in Taipei

• Main Authors: Huang Su-Hua, 黃思華
• Other Authors: Lyu li-ching
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/78918960222748567413

碩士 === 國立臺灣師範大學 === 家政教育研究所 === 88 === The purpose of this study was to explore the associations between diets and related factors for husbands and wives. This study used grab sample (sample of convenience) from patient attending the Gout Clinic in Taipei Municipal Ho-Ping Hospital. We recruited 217 volunteers between Aug. 1998 to Feb. 1999, and conducted face-to-face interviews to collect dietary and family information by the structured questionnaires. Total 82 spouse pairs completed the interviews. The results show that the means of dietary intakes by 24-hour recalls were significantly higher in husbands than wives. However most nutrient densities per 1000 kcal from food frequency questionnaire were higher in wives than husbands .The distribution of energy intake for breakfast, lunch, afternoon snack, dinner and night snack were 16%, 39%, 2%, 40% and 3%. Pearson product moment correlation show that the associations for most dietary intakes between husbands and wives were significant (r=0.233~0.436) by 24-hour recalls, but not nutrient densities(r=-0.011~0.293) by food frequency questionnaire. Canonical correlation analyses show that when the energy, fat and carbohydrate intake for husbands increased, the energy and fat intake for wives also increased, with decreased carbohydrate intake. About 30% of husbands and wives have breakfast outside home everyday, 24% of husbands and wives have lunch outside home everyday, 12% of husbands and 7% of wives have dinner not at home everyday. In daily life, about 50-60% husbands and wives eat with their families together at home and about 4-5% of husbands and wives eats with their families together outside home. These result imply that most family eat together at least one meal a day, with the highest frequency eating-out for breakfast than lunch, and the lowest frequency for dinner in both husbands and wives. After controlling for gout, smoking, education, exercise, age and energy intake, the multiple regression models show that numbers of family members has a significant effect on BMI for husbands; the percentage of energy from fat and the frequency of eating-out lunch for husbands have significant effect on BMI for wives.