Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-11.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Nutritional Status, Quality of Diet and Quality of Life in Postmenopausal Women with Mild Climacteric Symptoms Based on Food Group Intake Patterns

Nutritional Status, Quality of Diet and Quality of Life in Postmenopausal Women with Mild Climacteric Symptoms Based on Food Group Intake Patterns

Article information

Korean J Community Nutr. 2012;17(1):69-80
Publication date (electronic) : 2012 February 29
doi : https://doi.org/10.5720/kjcn.2012.17.1.69
1Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, Korea.
2Research Institute of Clinical Nutrition, Kyung Hee University, Seoul, Korea.
Corresponding author: Ryowon Choue, Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea. Tel: (031) 201-2317, Fax: (031) 204-8119, rwcho@khu.ac.kr
Received 2011 December 19; Revised 2012 February 06; Accepted 2012 February 15.

Abstract

This study was conducted to examine the nutritional status, quality of diet and quality of life in postmenopausal women with mild climacteric symptoms based on their food group intake patterns. The data for nutritional status were obtained using 3-day records. Quality of diet was assessed by INQ, NAR, MAR, DDS, DVS, DQI-I. Climacteric symptoms were analyzed by the questionnaire of Kupperman's index and MENoL. The subjects were classified into the five groups, GMVDF, GMVdF, GMVDf, GMVdf, GmVDF according to their food group intake patterns. Analysis of nutrient intakes showed that the GMVDF group took significantly higher levels of kcal, carbohydrate, protein, fat, vitamin A, thiamin, riboflavin, folate, vitamin C, vitamin E, calcium, phosphorous, sodium, iron, zinc and fiber than GMVdf group did (p < 0.05). INQ of Ca and Fe appeared to be higher in GMVDF than in GMVdf groups (p < 0.05). Analysis of NARs showed that missing milk groups took lower riboflavin, Ca and P than other groups did as the same result with MAR (p < 0.05). Analysis of DDS and DQI showed that GMVdf group had the lowest quality of diet (p < 0.05); however, no difference was found on DVS. The GMVdf group showed the worst climacteric symptoms compared with those of the other groups (p < 0.05). However, we couldn't observe any differences in menopause-specific quality of life among the groups. In conclusion, it would be beneficial to meet all five food groups to increase the quality of diet and to reduce the climacteric symptoms in postmenopausal women.

References

1. Anderson D, Posner N. Relationship between psychosocial factors and health behaviors for women experiencing menopause. Int J Nurs Pract 2002. 8265–273.
2. Alder E. The Blatt-Kupperman menopausal index: a critique. Maturitas 1998. 29(1)19–24.
3. Carr MC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab 2003. 882404–2411.
4. Ries CP, Joann LD. Evaluation of the nutrient guide as a dietary assessment tool. J Am Diet Assoc 1986. 86(2)228–233.
5. Chang HK, Han YB. A study on the climacteric symptom and dietary patterns in middle aged women. J Korean Home Econ Assoc 2002. 40125–134.
6. Drewnowski A. Concept of a nutritious food: toward a nutrient density score. Am J Clin Nutr 2005. 82(4)721–732.
7. Engberg G, Kincade J, Thompson D. Future directions for incontinence research with frail elders. Nurs Res 2004. 53(6)s22–s29.
8. Gibson RS. Principles of nutritional assessment. Dissertation 1990. New York: Oxford University Press;
9. Guthrie HA, Scheer JC. Validity of a dietary score for assessing nutrient adequacy. J Am Diet Assoc 1981. 78240–245.
10. Han IK, Park KO, Kim HM, Cho NH. Climacteric symptoms and perception in middle aged Korean women. J Korean Soc Menopause 1998. 4(1)3–15.
11. Ha JY. A study on the menopausal symptoms and quality of life in middle aged women. Mount Pleasant (MI) 2005. Seoul: Ewha Women's University;
12. Hansen RG, Wyse BW. Expression of nutrient allowances per 1,000 kilocalories. J Am Diet Assoc 1980. 76(3)223–227.
13. Hilditch JR, Lewis J, Peter A, Van Maris B, Ross A, Franssen E, Guyatt GH, Norton PG, Dunn EA. Menopause-specific quality of life questionnaire: development and psychometric properties. Maturitas 1996. 24(3)161–175.
14. Hung HC, Joshipura KJ, Jiang R, Hu FB, Hunter D, Smith-Warner SA, Colditz GA, Rosner B, Spiegelman D, Willett WC. Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst 2004. 96(21)1577–1584.
15. Jung KA, Lee YA, Kim SY, Chang NS. Associations of cognitive function and dietary factors in elderly patients with alzheimer's disease. Korean J Nutr 2008. 41(8)718–732.
16. Population and housing consus. Korea National Statistical Office 2005. cited 2006 Dec 27. Available from http://kostat.go.kr/portal/korea/kor_nw/2/2/1/index.board.
17. Population and housing consus. Korea National Statistical Office 2010. cited 2011 May 30. Available from http://kostat.go.kr/portal/korea/kor_nw/2/2/1/index.board.
18. Korean Nutrition Society. Dietary reference intakes for Koreans 2010. Korean, Seoul:
19. Kant AK, Block G, Schatzkin A, Zregler RG, Nestle M. Dietary diversity in the US population, NHANES I, 1976-1980. J Am Diet Assoc 1991. 91(12)1526–1531.
20. Krebs-Smith SM, Cleveland LE, Ballard-Barbash R, Cook DA, Kahle LL. Characterizing food intake patterns of American adults. Am J Clin Nutr 1997. 65s1264–s1268.
21. Kant AK, Schatzkin A, Block G, Zieqler RG, Nestle M. Food group intake pattern and associated nutrient profiles of the US population. J Am Diet Assoc 1991. 91(12)1532–1537.
22. Krebs-Smith SM, Wright HS, Guthrie HA, Krebs-Smith J. The effects of variety in food choices on dietary quality. J Am Diet Assoc 1987. 87(7)897–903.
23. Kim SM, Shin SM, Kim EI, Lee JE, Yoo DY. A clinical study on the effect of Daejo-hwan (DJH) on climacteric syndrome. J Orient Obstet Gynecol 2006. 19(4)225–244.
24. Kim SH, Kim JY, Ryu KA, Sohn CM. Evaluation of the dietary diversity and nutrient intakes in obese adults. Korean J Community Nutr 2007. 12(5)583–591.
25. Kim SK, Sunwoo JG. The analysis of the dietary factors realated to climacteric symptoms in middle-aged women. Korean J Community Nutr 2007. 12(1)25–39.
26. Kim MH, Bae YJ. Evaluation of diet quality of children and adolescents based on nutrient and food group intake and diet quality index-international (DQI-I). Korean J Community Nutr 2010. 15(1)1–14.
27. Kim HS, Jung GH, Jang DM, Kim SH, Lee BK. Increased calcium intake through milk consumption and bone mineral density of elderly women living in Asian. J Korean Diet Assoc 2005. 11(2)242–250.
28. Kwon JH, Shim JE, Park MK, Paik HY. Evaluation of fruits and vegetables intake for prevention of chronic disease in Korean adults aged 30 years and over: using the third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005. Korean J Nutr 2009. 42(2)146–157.
29. Kant AK, Schatzkin A, Harris TB, Ziegler RG, Block G. Dietary diversity and subsequent mortality in the First National Health and Nutrition Examination Survey Epidemiologic Fllow-up Study. Am J Clin Nutr 1993. 57434–440.
30. Kant AK, Schatzkin A, Ziegler RG. Dietary diversity and subsequent cause-specific mortality in the NHANES I epidemiologic follow-up study. J Am Coll Nutr 1995. 14(3)233–238.
31. Lee JH, Chung YK, Park HM, Park JS, Yumiko H, Yeoum SG. A study on climacteric symptoms in Korean mid-life women. J Korean Soc Menopause 2000. 6(2)142–156.
32. Lee SY, Ju DL, Paik HY, Shin CS, Lee HK. Assessment of dietary intake obtained by 24-hour recall method in adults living in Yeonchon Area(2): assessment based on food group intake. Korean J Nutr 1998. 31(3)343–353.
33. Lee SY, Paik HY. Contribution of specific foods to absolute intake and between-person variation of nutrient consumption in Korean adults living in rural area. Korean J Nutr 2000. 33(8)882–889.
34. La Vecchia C, Munoz SE, Braga C, Fernandez E, Decarli A. Diet diversity and gastric cancer. Int J Cancer 1997. 72(2)255–257.
35. Melby MK. Factor analysis of climacteric symptoms in Japan. Maturitas 2005. 52205–222.
36. Ministry of Health and Welfare. Korea Institute for Health and Social Affairs. The Third Korea national health and nutrition examination survey (KNHANES III), 2005 2006. Gwacheon: Ministry of Health and Welfare;
37. Montilla RN, Marucci MF, Aldrighi JM. Nutritional status and food intake assessment of climacterics women. Rev Assoc Med Bras 2003. 4991–95.
38. Nicklas TA, Webber LS, Thompson B, Berenson GS. A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study. Am J Clin Nutr 1989. 491320–1327.
39. National academy of agricultural science 2009. cited 2011 June 28. Available from http://www.naas.go.kr/.
40. Park KS, Lee KA. A case study on the effect of Ca intake on depression and anxiety. Korean J Nutr 2002. 35(1)45–52.
41. Randall E, Marshall JR, Brasure J, Graham S. Dietary patterns and colon cancer in western New York. Nutr Cancer 1992. 18265–276.
42. Randall E, Nichaman MZ, Contant CF. Diet diversity and nutrient intake. J Am Diet Assoc 1985. 85830–836.
43. Seo MS. Woman's health problem in ministry of gender equality and family. Korean J Health Promot Dis Prev 2002. 2115–118.
44. Song SJ, Kim MS. Case study on insomniac, melancholiac, schizophrenic patients taking well-balanced nutrition & vitamin B group. J Korean Soc Jungshin Sci 2002. 6(1)11–20.
45. Wang MC, Luz Villa M, Marcus R, Kelsey JL. Assiciation of vitamin C, calcium and protein with bone mass in postmenopausal Mexican American women. Osteoporos Int 1997. 7(6)533–538.
46. Yon MY, Lee MS, Oh SI, Park SC, Kwak CS. Assessment of food consumption, dietary diversity and dietary pattern during the summer in middle aged adults and older adults living in Gugoksoondam Logevity Area, Korea. Korean J Community Nutr 2010. 15(4)536–549.
47. Yoo CH. The effects of milk consumption for preventing osteoporosis in Korean. J Korean Dairy Technol Sci Assoc 2002. 20(2)145–155.

Article information Continued

Fig. 1

Percent contribution of food groups for vitamin and mineral intakes (%).

Table 1

Anthropometric and blood parameters according to the food group intake patterns

Table 1

1) Waist Hip Ratio, 2) Systolic Blood Pressure, 3) Diastolic Blood Pressure, 4) Low Density Lipoprotein cholesterol, 5) High Density Lipoprotein cholesterol, 6) Grain, Meat, Vegetable, Dairy, and Fruit, 7) Values are Mean ± SD

: Significantly different categorical variables by the chi-square test at p < 0.05

*: Means with different alphabetic letters within a raw are significantly different at p < 0.05 by Duncan's multiple range test after ANOVA

Table 2

Nutrients intakes according to the food group intake patterns

Table 2

1) Percentage ratio of carbohydrate : protein : fat in energy intake

2) Mean ± SD

3) Means with different alphabetic letters within a raw are significantly different at *: p < 0.05 by Duncan's multiple range test after ANOVA

Table 3

INQ, NAR and MAR according to the food group intake patterns

Table 3

1) INQ : Index of Nutritional Quality, 2) NAR : Nutrient Adequacy Ratio, 3) MAR : Mean Adequacy Ratio, 4) Mean ± SD, 5) Means with different alphabetic letters within a raw are significantly different at *: p < 0.05 by Duncan's multiple range test after ANOVA

Table 4

Total diet quality according to the food group intake patterns

Table 4

1) DDS : Dietary Diversity Score, 2) DVS : Dietary Variety Score, 3) DQI-I : Dietary Quality of Index-international was composed with four domains, variety, adequacy, moderation, overall balance, 4) Mean ± SD, 5) Means with different alphabetic letters within a raw are significantly different at *: p < 0.05 by Duncan's multiple range test after ANOVA

Table 5

Climacteric Symptoms according to the food group intake patterns

Table 5

1) The scores of Kupperman's index were categorised as follows: normal < 20, moderate : 20 - 40, severe > 40. If a patient has a score of 20 she could be categorised as moderate

2) MENQoL : Menopause-specific quality of life questionnaire. The higher the scores of MENQoL were had, the worse the menopausal women's quality of life was had

3) Mean ± SD

4) Means with different alphabetic letters within a raw are significantly different at *: p < 0.05 by Duncan's multiple range test