PREVALENCE OF FOOD INSECURITY AND ITS ASSOCIATION WITH MUSCLE MASS, HAND GRIP STRENGTH AND GAIT SPEED AMONG ELDERLY IN TEHRAN
HTML Full TextPREVALENCE OF FOOD INSECURITY AND ITS ASSOCIATION WITH MUSCLE MASS, HAND GRIP STRENGTH AND GAIT SPEED AMONG ELDERLY IN TEHRAN
Godana Arero Dassie 1, Ahmadreza Dorosty Motlagh *2, Maryam Chamari 2 and Eshraghian Mohammadreza 3
Oromia Regional State Health Bureau 1, Addis Ababa, Ethiopia.
Community Nutrition 2, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Epidemiology and Biostatistics 3, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
ABSTRACT: Background: Human muscle mass undergoes constant changes as one getting older. This change can be accelerated by inadequate nutrition. The aim of the study is to investigate the association between food insecurity and its association with muscle mass strength. Methods: The cross-sectional and case-control study was conducted among 310 men and 334 women (60 and over) from August 2014−July 2015 in Tehran. A pilot study was conducted before initiation of the study to validate equipment. Food insecurity data were collected using Household Food Insecurity Access Scale. Muscles mass strengths were analyzed by Bioelectronics impedance analysis, Squeeze bulb dynamometer. Conclusion: Elderly people living in food insecurity status had scored lower mean standard deviation of muscle mass strength. Food security is a key factor to sustainin c7489-02), and the 6-step walk test. Association between food insecurity and other variables were analyzed by SPSS software. Results: Findings showed that food insecurity prevalence was (29%). It also showed (10%) elderly women and (21%) men had low muscle mass, (24.3%) elderly women and (19.4%) men had a lower hand grip strength and a (21.9%) had low gait speed and the difference was significant (P-value <.001). The risk of having weak hand grip strength is 5.8 times higher in men in (model 1), 11.5 times higher in women (model 2) and 5.5 higher in men in (model 3). The risk of fallen more likely occurs in women compared to men. g muscle mass strength and physical performance. It helps to maintain healthy aging and improves quality life.
Keywords: |
Food insecurity,
Muscle mass,
Hand grip strength,
Gait speed, elderly people
INTRODUCTION: Food insecurity is a pressing social and public health issue that varies in degree and in its effects on individuals and social groups.
For this reason, it is critical to understand how patterns of food insecurity appear across differing demographics in order to meet specific needs through the implementation of appropriate policies, programs, and other initiatives. The USDA defines food insecurity as “the state of being without reliable access to a sufficient quantity of affordable, nutritious food.” There are four key terms in that definition: access, sufficient quantity, affordable and nutritious. Of these, “affordability” has received the most attention.
Past literature on food insecurity in the United States and even all over the world has focused heavily on children and single parent households, which is appropriate because research shows that young, low-income families with children are perhaps the most food insecure population in the world. Less is known about food insecurity in other potentially vulnerable populations of elderly. Food insecurity is a social, cultural or economic state and as such is simpler to conceptualize and measure (a report submitted to American Association of retired Person foundation, September 2014).
Food insecurity entails a much wider and often more systemic problem than “hunger” describes. Unlike hunger, it is not a temporary state or sensation (a report submitted to AARP Foundation, September 2014). A study conducted in different cities of Iran in 2013 by different authors the food insecurity percentage were reported as (%30.5) in Yazd, (%36.6) Isfahan, (%50.5) Shahr-e Ray, and (%36.3) Asadabad 1-5. Two studies conducted in the USA on factors associated with food insecurity among US elderly persons by Lee(2001) and Seasonal variation in food insecurity association with heating and cooling costs among low-income elderly Americans by Nord (2006) showed the prevalence food insecurity was 1.7% and 3.7% 6,7.
In addition, human muscle undergoes constant changes. After about age 50, muscle mass decreases at an annual rate of 1–2 %. Muscle strength declines by 1.5 % between ages 50 and 60 and by 3 % thereafter. On the average, 5–13 % of older persons over 60 years of age have low muscle mass, with the prevalence increasing to as high as 50 % in persons over the age of 80 years 8, 9. Normal aging is associated with approximately a 1% loss of muscle from 30 years of age, and this loss tends to accelerate after the age of 70 years 10. Coin et al. found that about 20 % of community-dwelling persons in Italy had low muscle mass 11, 12. In Barcelona, the low lean mass was present in 33 % of elderly women and 10 % of males 13. In Taiwan, low muscle mass was present in 2.5%of community-dwelling women and 5.4 % of males 14.
The ability to grip is also one of the most important functions of the hand, and grip strength can be used to reflect overall muscular strength 15. Several studies have shown that grip strength is inversely associated with all-cause mortality, functional impairments, frailty markers, cognitive impairments, physical disabilities, and nutritional status 16-18. The similar study in Korea also showed that it has been found to be associated with numerous factors such as demographics characteristic (age and gender). As the study showed the mean grip strength in healthy Caucasian elderly adults was about 41% less in women (right 29 kg; left 27 kg) than in men (right 49 kg; left 47kg) resulting in a ratio of left to right hand slightly above .95 in both genders 19. Gait speed is a quick, inexpensive, reliable measure of functional capacity with well documented predictive value for major health-related outcomes. Humans can walk up to 4 m/s 20, but natural transition between walking and running is roughly 2.2 m/s 20-23.
This study is a first in kind in Iran to identify the relationship between food insecurity and associated factors such as muscle mass, hand grip strength and physical performance of elderly. We think the results of this study will contribute and add new knowledge for a researcher in the field, health professional and will also help Ministry of Health, Government, and all concerned bodies to give due attention so as to improve the quality life of elderly. The aim of the study is to investigate food insecurity prevalence and its association with muscle mass, hand grip strength and physical performance.
METHODS:
Ethical approval was secured from the ethics Committee and Vice Chancellor for research at Tehran University of Medical Sciences. The approval is in accordance with the tenets of the Helsinki Declaration and the national ethical guideline for medical research with ethical approval Code: IR.TUMS.REC.1394.346. Then, a pilot study was conducted to validate instruments. Strict inclusion and exclusion criteria were established. To be eligible for study participants must be 60 years and over and should not take any supplementation drugs. They should able to move without any support and should free from any chronic illness. Furthermore, each participant was explained about the objective of the study, they completed and signed consent by their willingness. Then, a cross-sectional study design was conducted to identify the prevalence of food insecurity and participants were recruited for the second part of the study design which is a case-control.
The reason for case-control was to compare the proportion of food insecurity in those who have normal muscle mass strength and who don’t. The sample size was determined using a single proportion formula for cross-sectional studies while for case-control it determined by comparing two populations estimation P1 and P2 (95% Confidence level and 80% power). The study was conducted from August 2014−July 2015 in six randomly selected health centers in Tehran using cluster sampling method. Ten percent of 60 diagnostic health centers were identified and six health centers were randomly selected using the simple random sample. Then the study participants were recruited via phone call. Participant’s phone numbers were already recorded at the nearby health center. When there were two elderly people in the same house, only one person was selected randomly to participate in the study. When there was more than one eligible in the same house, only one person was selected.
In the case of no any eligible person was found in the selected household, the interviewer would take the next phone call. A totally, 310 men and 334 women (60 and over) were studied. A standard questionnaire was used to collect data. Questionnaires were first written in English and then translated to Persian language and back to English to attest comparability. The questionnaires were contained questions related to socio-demographic characteristics such as gender, age, educational level, occupation and food insecurity. The questionnaire also involved information regarding their health status and lifestyle.
Food insecurity information was collected using a standard semi-quantitative questionnaire which was developed by the USAD Household Food Insecurity Access Scale (HFIAS). All anthropometric measures such as height, hip, waist, wrist, ankle, knee, and arm, thigh, upper and median (in meter) were entered into the software. Other measurements such as weight (in Kg) and body mass index were calculated by the same software. Muscle mass, handgrip strengths, and gait speed were analyzed by Bioelectronics impedance analysis (BIA), Squeeze bulb dynamometer (c7489-02), and the 6-step walk test respectively. The relationship between Food insecurity and muscle mass strength was analyzed by SPSS software version 22.
Data analysis:
First, pre-coded data were entered into the computer and analyzed using SPSS version. Correlation between food insecurity with other variables such as sex, age, muscle mass, hand grip strength and gait speed was investigated by a bivariate analysis. The mean scores of variables mentioned above were also explored with independent sample-t-test. Odds ratio and 95% confidence interval were computed by logistic regression to test models and predict categorical outcomes of food insecurity with sex, age, muscle mass, hand grip strength and gait speed.
RESULTS:
A total of 310 men and 334 elderly women (60 years old and over) participated in the study with a mean age value (70.8 ± 6.1). The findings of this study showed (10%) women and (21%) elderly men had low muscle mass, whereas (24.3%) elderly women and (19.4%) men had low hand grip strength and also (21.9%) elderly had low gait speed. The mean standard deviation of muscle mass, hand grip strength and gait speed among the study population was (20.4±5.1 (kg), 23.4±6.4 (kg) and 0.65±0.21 (kg) respectively and the difference was significant (P-value <.001).
Findings showed that the total food insecurity prevalence among study participants was (29%), marginal food insecurity was (13.2%), low food insecurity was (9.9%) and very low food insecurity was (5.9%). It also showed that there was no one of the elderly men and women’s counterpart who were living in similar food security status had low muscle mass while (20.2%) of elderly men and (20%) women who were living in marginal food insecurity had low muscle mass. Furthermore, (16 %) men and (18.6%) elderly women who were living in similar low food insecurity status had low muscle mass compared to (36.7%) of the elderly men and (28.6%) women, who were living in the very low food insecurity condition had low muscle mass. In addition, the findings revealed that (8.1%) of elderly men and (5.8%) of elderly women who were living in a similar food security status had low hand grip strength.
A similar result was observed among elderly men and women who were living in a marginal food insecurity condition where they had (16.1%) and (13.5%) low hand grip strength respectively. It also showed (24.8%) of elderly men and (19 %) of elderly women who were living in low food insecurity situation had low hand grip strength while (32.1%) men and (26%) women who were living in very low food insecurity had low hand grip strength. Finally, findings showed (21%) elderly people, both men and women who were living in similar food security status had low gait speed whereas (15%) of elderly, who were living in marginal food insecurity had low gait speed.
In addition, (25.7%) of elderly people who were living in low food insecurity had low gait speed while (48.6%) of elderly, who were living in very low food insecurity had low gait speed. In addition, before adjusting all important variables (model 1) the odds ratio for food insecurity in men with low hand grip strength was 5.9 with (P-value < .001 with 95% Cl = 3.47-10.03).
When adjusting for other variables (model 2), the odds ratio for food insecurity in men and women with low hand grip strength was 6.1 and 11.5 respectively (P-value <.001 with 95%Cl = 2.92-45.02). When adjustment was done for all other variables except age (model 3) the odds ratio for food insecurity in men and women with low hand grip strength was 5.46 and 3.12 (P-value <.001 and <.005 with 95%Cl = 3.26-9.16 and 1.56-6.25 respectively). All other variables are equal.
TABLE 1: SHOWS THE SUMMARY STATISTICS DATA PROFILE OF THE STUDY PARTICIPANTS
T-test mean scores of muscle mass, hand grips strength and Gait speed data profile of elderly people | |||||||||||||||
Gender: | N | Mean(kg) | Std. Dev (kg) | P-value | Mean difference | 95%CI | |||||||||
Males | 310 | 1.94 | 0.23 | <.001 | 0.09 | .05-.15 | |||||||||
Females | 334 | 1.84 | 0.36 | <.001 | |||||||||||
Muscle mass data: | |||||||||||||||
males | 310 | 3.04 | 0.23 | <.005 | 0.6 | .02-.101 | |||||||||
females | 334 | 2.97 | 0.3 | <.005 | |||||||||||
Hand grip strength: | |||||||||||||||
males | 310 | 1.44 | 0.25 | <.001 | 0.03 | .31-.44 | |||||||||
Females | 334 | 1.06 | 0.51 | ||||||||||||
Gait speed: | |||||||||||||||
males | 310 | 194 | 0.23 | <.001 | 0.09 | .04-.14 | |||||||||
females | 334 | 1.84 | 0.36 | <.001 | |||||||||||
Age group: | |||||||||||||||
males | 310 | 1.48 | 0.51 | <.001 | 0.37 | .31-.44 | |||||||||
females | 334 | 1.1 | 0.32 | <.001 | |||||||||||
TABLE 2: COMPARISON OF FOOD INSECURITY PROPORTION IN CASE AND CONTROL GROUPS BETWEEN NORMAL AND LOW MUSCLE MASS, HAND GRIP STRENGTH AND GAIT SPEED.
Comparison of Food Insecurity proportion in case and control groups between normal and low hand grip strength | ||||||||||
Variables | Control groups | Case groups | ||||||||
Gender | Normal hand grip(% | Low hand grip(%) | P-value | |||||||
Men | 141(24.1) | 268(41.6) | <0.001 | |||||||
Women | 1(0.2) | 78(30.7) | ||||||||
Comparison of Food Insecurity proportion in case and control groups between normal and low muscle mass | ||||||||||
Variables | ||||||||||
Gender | Normal muscle mass (%) | Low muscle mass (%) | P-value | |||||||
Men | 132(42.5) | 178(53.3) | 0.005 | |||||||
Women | 166(49.7) | 168(50.2) | ||||||||
Comparison of Food Insecurity proportion in case and control groups between normal and low Gait speed | ||||||||||
Variables | Normal Gait speed | P-value | ||||||||
Both gender | 50.5 | 55.9 | <0.001 |
N: B.Hence, there is no International Standard cut-off point for educational level and occupation regarding normal or low muscle mass, hand grip strength, and gait speed it is difficult to categorize as a case and control.
DISCUSSING: The findings of this study show that (10.3%) of elderly women and (21.9%) of elderly men had low muscle mass with a mean standard deviation of muscle mass (men: 3.04±0.23 and women: 2.97±.30) and the difference is significant (P-value < 0.001). This study is in line with a study conducted in community-dwelling people in Italy and showed (20%) of elderly men and women had low muscle mass 5.
Present findings also are supported by a similar study conducted in Barcelona, where (33%) of elderly women and (10%) of males had low muscle mass 6. Our findings also have been higher than a similar study conducted in Taiwan, which showed (2.5%) of community-dwelling women and (5.4 %) of males had low muscle mass 7. Findings show a strong positive significant association between food insecurity with muscle mass, hand grip strength and physical performance with P-value < .005, < .001, = .02 respectively. This finding is in line with a similar study conducted in Indonesia in which muscles hand grip strength was revealed significantly associated with age (P-value <.001). Present findings show that (24.3%) of women and (19.4%) of elderly men had low hand grip strength with the mean and standard deviation (men: 1.44±0.25 and women: 1.06±0.51) and the difference is significant (P-value < 0.001).
This shows the mean hand grip strength is relatively higher in men than elderly women. This finding disagrees with a study conducted among healthy Caucasian adults, which reported 41% less in women (right 29 kg; left 27 kg) than in men (right 49 kg; left 47 kg) resulting in a ratio of left to right hand slightly above .95 in both genders 12. Our study findings show (21.9%) of elderly people have low gait speed with the mean and standard deviation (men: 1.94±.23 and women: 1.84±0.36) and the difference is significant (P-value < 0.001). The mean and the standard deviation are relatively same in both genders. The logistic regression analysis (model 1) showed that the odds ratio for food insecurity in men who have low hand grip strength was 5.9 with (P-value < .001 with 95%Cl = 3.47-10.03), before adjusting for all other variables. After adjusting the other variables (model 2), the odds ratio for food insecurity in men and women with low hand grip strength was 6.1 and 11.5 respectively (P-value <.001 with 95%Cl = 2.92-45.02). Moreover, adjustment for all other variables except age (model 3) the odds ratio for food insecurity in men and women who have low hand grip strength was 5.46 and 3.12 (P-value <.001 and <.005 with 95%Cl = 3.26-9.16 and 1.56-6.25) respectively. These findings show that the risk of having weak hand grip strength is 5.8 times higher in men in (model 1), (11.5) times higher in women in (model 2) and 5.5 higher in men in (model 3). To compare and discuss these results with another similar study, we couldn’t find similar ones.
In addition, the prevalence of food insecurity, in general, was (29%), and for the marginal food insecurity, it was (13.2%), for low food insecurity was (9.9%) and very low food insecurity was (5.9%). This result is relatively in line with a similar report from the USA where (7.3%) of elderly people were marginally food insecurity, (6.1%) has low food security, and (3.9%) of them have very low food security (a report submitted to AARP Foundation, September 2014). The findings of this study are much lower than a similar study conducted in Yazd (30.5%), Isfahan (36.6), in Shahr-e Ray, and Asadabad 36.3% 1-5. But it is unlike other two studies conducted in the USA which reported the prevalence of food insecurity as 1.7% and 3.7% respectively 6, 7. This indicated that the prevalence of food insecurity in our study is high. Another study conducted in Turkey reported that food insecurity prevalence was (43.5%) among the age group 60 to 69 years old and 33.3% in those age group 70 years and over 8.
This study is the first study in the World that investigates the association between food insecurity and muscle mass, hand grip strength, and physical performance. This makes it difficult to compare and discuss our results with another study. The other limitation of this study is that during the data collection period some of the elderly people could not able to come to health centers. For this reason, it was difficult to estimate the exact prevalence of food insecurity and other variables under study. A pilot study was conducted before commencing the main study to validate the scale reliability and validity measurements. Daily field supervision and data check up was taking place as a follow-up method. In conclusion, Food security is an important key factor to sustaining muscle mass strength and physical performance. There is a significant association between food insecurity, muscle mass, hand grip strength and physical performance (P-value <.001). Therefore, Minister of Health, Government, the non-government organizations need to intervene and give due attention to the elderly people so as to improve the elderly person’s quality life and avert the prevalence of food insecurity and other related factors.
ACKNOWLEDGEMENT: First of all, I praise “The Name of Almighty GOD” who secures me all the time in all aspects of my life. Next I would like to acknowledge Office of Vice-Chancellor for Global Strategies and International who give me the scholarship and support financially. I also thank Dr. Ahmadreza Dorosty who guides me from project design to the last. My thanks go to the School of Nutritional Sciences and dietetics that provided me with necessary equipment and expenses. I would also like to thank project manager and supervisor Dr. Ahmad Dorosty who guide me from plan to implement. And lastly, but not least I thanks, Ms. Maryam Chamari who had exhaustively helped me during data collection period. Finally, my thanks go to the elderly people who participated in this study.
FUNDING: This project is funded by Office of Vice-Chancellor for Global Strategies and International Affairs; fund number 93/sc/48/129. The sponsors had no role in the design and conduct of the study; in the collection, analysis, and interpretation of data; in the preparation of the manuscript; or in the review or approval of the manuscript. None declared’, or specify the authors’ financial or other interests which should be known to the readers.
REFERENCES:
- Gaputa Au, Gaputa AK, Schork NJ, Ellis CN, Voorhees JJ. Psychiatric aspects of the treatment of mild to moderate facial acne: some preliminary observations. Int J Dermatol. 1990; 29: 719-21.
- Hartmann S, Lacorn M, Steinhart H. Natural occurrence of steroid hormones in food. Food Chem 1998; 62:7-20.
- James WD (April 2005). "Clinical practice. Acne". N Engl J Med 352 (14): 1463–72.
- Jung JY, Yoon MY, Min SU, Hong JS, Choi YS, Suh DH: The influence of dietary patterns on acne vulgaris in Koreans. Eur J Dermatol 2010, 20:768–772
- Karam soltani Z, Dorosty AR, Eshraghian MR, Siassi F, Djazayeri A. Obesity and Food Security in Yazd Primary School Students. Tehran University Medical Journal 2007; 7: 68-76 [In Persian
- Lee JS, Frongillo EA. Factors associated with food insecurity among US elderly persons: the importance of functional impairments. J Gerontol Soc Sci 2001; 56(2):94–9.
- Nord M, Kantor LS. Seasonal variation in food insecurity is associated with heating and cooling costs among low-income elderly Americans. J Nutr 2006; 136:2939–44.
- Von Haehling S, Morley JE, Anker SD. An overview of sarcopenia: facts and numbers on prevalence and clinical impact. J Cachexia Sarcopenia Muscle. 2010; 1:129–33.
- Morley JE. Sarcopenia in the elderly. Fam Pract. 2012; 29 Suppl 1: i44–8.
- Kim TN, Choi KM. Sarcopenia: definition, epidemiology, and pathophysiology. J Bone Metab. 2013; 20:1–10.
- Coin A, Sarti S, Ruggiero E, Giannini S, Pedrazzoni M, Minisola S,et al. Prevalence of sarcopenia based on different diagnostic criteria using DEXA and appendicular skeletal muscle mass reference values in an Italian population aged 20 to 80. J Am Med Dir Assoc. 2013; 14: 507–12.
- Rossi AP, Fantin F, Micciolo R, Bertocchi M, Bertassello P, Zanadrea V, et al. Identifying sarcopenia in acute care setting patients. J Am Med Dir Assoc. 2014; 15:303.e7–e12.
- Masanes F, Culla A, Navarro-Gonzalez M, Navarro-Lopez MC, Sacanella E, Torres B, et al. Prevalence of sarcopenia in healthy community-dwelling elderly in an urban area of Barcelona (Spain). J Nutr Health Aging. 2012; 16:184–7.
- Wu IC, Lin CC, Hsiung CA, et al. Epidemiology of sarcopenia among community-dwelling older adults in Taiwan: a pooled analysis or a broader adoption of sarcopenia assessments. Geriatr Gerontol Int. 2014; 14 Suppl 1:52–60.
- Rantanen T, Era P, Heikkinen E. Maximal isometric strength and mobility among 75-year-old men and women. Age Ageing. 1994; 23:132–137.
- Jansen CW, Niebuhr BR, Coussirat DJ, et al. Hand force of men and women over 65 years of age as measured by maximum pinch and grip force. J Aging Phys Act. 2008; 16:24–41.
- Bohannon RW. Hand-grip dynamometry predicts future outcomes in aging adults. J Geriatr Phys Ther.2008; 31:3–10.
- Cantarero-Villanueva I, Fernández-Lao C, Díaz-Rodríguez L, et al. The handgrip strength test as a measure of function in breast cancer survivors: relationship to cancer-related symptoms and physical and physiologic parameters. Am J Phys Med Rehabil. 2012; 91:774–782.
- Günther CM, Bürger A, Rickert M, et al. Grip strength in healthy Caucasian adults: reference values. J Hand Surg Am. 2008; 33:558–565.
- A. Borghese, L. Bianchi, and F. Lacquaniti,” Kinematic determinants of human locomotion.” Journal of Physiology 1996: 494.3 863-879.
- Li, E. C. H. van den Bogert, G. E. Caldwell, R. E. A. van Emmerik, and J. Hamill, ”Coordination patterns of walking and running at similar speed and stride frequency.” Human Movement Science 1999: 18:67-85.
- J L. Lelas, G. J. Merriman, P. O. Riley, and D. C. Kerrigan, ”Predicting peak kinematic and kinetic parameters from gait speed” Gait & Posture June 2002.
- C. Kirtley, M. W. Whittle, and R. J. Jefferson,” Influence of Walking Speed on Gait Parameters.” Journal of Biomedical Engineering 1985: 7(4): 282-288.
How to cite this article:
Dassie GA, Motlagh AD, Chamari M and Mohammadreza E: Prevalence of Food Insecurity and its Association with Muscle Mass, Hand Grip Strength and Gait Speed among Elderly In Tehran. Int J Pharm Sci Res 2016; 7(7): 2889-95.doi: 10.13040/IJPSR.0975-8232.7(7).2889-95.
All © 2013 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
16
2889-95
351
1195
English
IJPSR
G. Arero Dassie, A. Dorosty Motlagh *, M. Chamari and E. Mohammadreza
School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
garero2015@gmail.com
04 February, 2016
23 March, 2016
01 April, 2016
10.13040/IJPSR.0975-8232.7(7).2889-95
01 July 2016