PREDICTING STANDING HEIGHT FROM HEIGHT PROXIES FOR DETERMINATION OF BODY MASS (BMI) AND ANTHROPOMETRIC STATUS OF OLDER PERSONS IN TWO LOCAL GOVERNMENT AREAS OF ABIA STATE

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Product Code: 00006626

No of Pages: 78

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ABSTRACT

The study validated the use of height proxies for body mass index in determining the anthropometric status of the elderly in Umuahia north and south LGAs. A total of 200 respondents were selected using a multi-stage random sampling technique. A structured questionnaire was used to obtain information on their socio-economic characteristics. The results revealed that a little above half (53%) of the respondents were females. Majority (34%) were active in farming. The estimated monthly income of most of the respondents ( 27.5% and 25%) was within the range of less than N5000 and N5000- N15999, respectively. As much as 49% of the respondents got other sources of income from their children. There was no significant difference (p>0.05) in the mean weights of the male elderly (71.52±10.7) and the female elderly (70.01±12.8).  The men were taller than the women, as the mean standing height of the elderly men (1.620±0.11) was significantly higher (p<0.05) than that of the elderly women (70.01±12.8). There was a significant relationship (P<0.05) between the BMI derived from standing height and the BMI derived from armspan, knee height and sitting height in both the elderly men and women. Using the height proxies (armspan, knee height and sitting height measurements), regression equations was derived to predict the actual height of the elderly men and women, as follows: men standing ht=1.23+0.25 (armspan); women standing ht=1.35+0.14(armspan);men standing ht=1.36+0.5(knee height);women standing ht=1.43+0.29(knee height); men standing ht=1.47+0.23(sitting height) and women standing ht=1.48+0.15(sitting height). Armspan, knee height and sitting height measurements are useful alternatives to height measurements in the elderly people. There was no significant relationship (p>0.05) between the socio economic variables and the BMI of the elderly men and women. Validating the derived formula for those with older age groups and possibly other ethnic groups in Nigeria, for greater utility of these proxy indicators of height is recommended.




TABLE CONTENTS

              Title Page         i
              Declaration         ii
              Certification         iii
              Dedication         iv
             Acknowledgements         v
             Table of Contents         vi
              List of Tables         vii
              List of Figures                     viii
              Abstract          x

CHAPTER 1: INTRODUCTION
1.1 Background of the study           1
1.2 Statement of the problem 3
1.3 Objectives of the study 5
1.3.1 The general objective 5
1.3.2 The specific objectives 5
1.4 Significance of the study 6

CHAPTER 2: REVIEW OF RELATED LITERATURE
2.1 Definition of an Older or Elderly Person 7
2.1.1 Theories of aging 9
2.1.2 Bio-psychosocial challenges of the aged in Nigeria 10
2.2 Anthropometry 12
2.3 Body Weight 14
2.4 Body Height 15
2.4.1 Arms span 16
2.4.2 Knee height 16
2.4.3 Sitting height 17
2.5 BMI 17
2.6 Waist Hip Ratio (WHR) 19
2.7 Total Body Fat 20
2.7.1    Skin fold thickness 20
2.8 Calf Circumference 21

CHAPTER 3: MATERIALS AND METHODS
3.1 Study Design 23
3.2 Area of Study 23
3.3 Population of study 23
3.4 Sample and sampling techniques 24
3.4 .1 Sample size 24
3.4.2    Sampling procedure 25
3.5 Preliminary activities 25
3.5.1 Preliminary visit 25
3.5.2 Training of research assistant 25
3.6 Data collection 26
3.6.1 Questionnaire administration 26
3.6.2 Anthropometric measurements 26
3.7 Data analysis 29
3.8 Statistical analysis 29

CHAPTER 4: RESULTS AND DISCUSSIONS
4.1 Socio economic characteristics of the elderly. 31
4.2 Anthropometric characteristics of the elderly.             37
4.3 Body mass index of the elderly             38
4.4       Relationship between the BMI derived from standing
Height and the BMI derived from other height proxies.             40
4.5       Socio-economic predictors of BMI calculated from
Standing height             49
4.6 Anthropometric status of the elderly           51

CHAPTER 5: CONCLUSION AND RECOMMENDATION
5.1 Conclusion 55
5.2 Recommendations 55
Reference




LIST OF TABLES

4.1 Socio-economic characteristics of the elderly 31

4.2 Anthropometric characteristics of the elderly 37

4.3 Body Mass Index of the Elderly 39

4.4        Relationship between the BMI derived From Standing Height and the BMI derived from the height Proxies used in the study 41

4.5       Socio-economic predictors of BMI calculated from standing height             49

4.6 Anthropometric status of the elderly 52





LIST OF FIGURES

2.1 Classification of BMI categories as using WHO standards        18

2.2 Waist hip ratio classification 19

2.3 Classification of Skin fold Thicknesses 21






CHAPTER 1
INTRODUCTION

1.1 BACKGROUND OF THE STUDY
According to World Health Organization (1995), the elderly are defined as a group of people over 60 years of age. Older adults are the fastest growing segment in the world’s population and they are quite heterogeneous (Dart and Keller, 2009). Anthropometry is the science of measuring the size, weight and proportion of human body (Mahan and Escott-stump, 2004).Anthropometric measurements provide simple, non-invasive methods to assess the nutritional status of populations (Lucia et al., 2002). 

Anthropometric measurements are also part of the nutritional assessment which is an important component of health care. Measuring the individual's stature with accuracy is very important because it is a basis for estimating basal energy expenditure and consequent nutrient needs and to calculate indices of nutrient status (Kaweesak et al., 2012). However, common methods of nutritional anthropometric assessment are not entirely satisfactory for all elderly persons. Certain measurements such as stature may be difficult to obtain because of postural changes, thinning of the disks of the spinal column, and diminution in the height of the vertebrae, all of which are associated with aging (Kaweesak et al., 2012). Data may also be difficult to interpret due, in part, to individual differences in the effects of normal aging). BMI is an indicator for assessing risk of chronic energy deficiency (CED) and obesity and has become a universal index of energy nutritional status in adults even though it is influenced by many factors other than energy stores (Bogin and Beydoun, 2007). 

Height is an important clinically measured parameter along with BMI and body surface area calculation. Human height or stature is the distance front the bottom of the feet to the top of the head in a human body. Collins (2014) defined height as the distance from base to top.These measurements play an inevitable part in drug dose adjustment, nutrition assessment and requirements, as well as for risk stratification. The body Mass Index (BMI) has become a universal index of energy status in adults even through it is influenced by many factors order than energy stores (Bogin, 2005). Measurement of the height of patients is required for determination of basic energy requirement, standardization of measurement of physical capacity and for adjusting drug dosage (Bloomfield et al., 2006; Venkataraman et al., 2015). However, in some situations, the exact height cannot be determined directly because of deformities of limbs or in patient’s body who had undergone amputations. BMI is a widely used body weight classification system, but has known limitations, and much need to be adjusted for arm span, knee height and sitting height in order to be useful as an indicator of health risks in special populations (Guylaine et al., 2005). 

1.2 STATEMENT OF THE PROBLEM
Malnutrition remains a major nutritional problem commonly found in groups of the elderly (Fatmah and Erwin, 2012). Older adults are the fastest growing segment in the world population and they are quite heterogeneous and they are recognized as a group at risk of malnutrition in the population as a whole (Dart and Keller, 2009). Therefore, early screening of elderly malnutrition is urgently needed in assessing nutritional status through the calculation of body mass index (BMI) with body weight and body height as indicators (Fatmah and Erwin, 2012). 
Many elderly persons, particularly the very old who are in the institutions, are chair bound or bedridden due to arthritis, disease or surgery (Gibson, 2005). For these non-ambulatory persons and for those who are unable to stand for examinations, collection of acceptable anthropometric data poses a problem. As we age, there are many biological changes in the body composition, although rate and consequences of changes vary greatly (Gibson, 2005). Because of these changes, older adults have an increased susceptibility to several chronic diseases that may be prevented or delayed through the provision of nutrition intervention (Wadhwa et al., 1997). However, appropriate interventions are dependent on comprehensive assessment of nutritional status which includes diet, biochemical, clinical and anthropometric information. Nutritional status is difficult to measure in any population, but it is especially difficult in older adults because dietary recalls may be inaccurate due to cognitive impairment, biochemical laboratory values may be skewed due to the presence of chronic diseases, clinical symptoms may be difficult to detect due to normal aging process. Anthropometry is often heavily relied on to determine nutritional status of older adults (Dart and Keller, 2009).But accurate anthropometric measurements in the elderly might be difficult to obtain because of changes in body composition, posture and mobility, which occur during the aging process (Lucia et al., 2002). In many older persons, the use of body mass index to determine the adult nutritional status is limited by the measurement of height, which is often unreliable, because of spinal deformities such as kyphosis, vertebral compressions in height and alterations in height and shape of the vertebral discs (Kwok and Whitelow, 1991). Postural changes such as bowing of the legs and bent knees due to decreased muscle strength might also lead to inaccurate height measurement (Pieterse, 1999). Most indices of nutritional status rely on accurate recording not only of body weight, but also of height (Cape et al., 2007). Accurate methods are therefore needed to assess the nutritional status of older people.

At present, there are no guidelines on the degree of spinal curvature beyond which measurement of height would be invalid, but there are obviously individuals whose height should not be measured using the usual methods (Cape et al., 2007). In such cases, height has to be estimated, or preferably another measurement could be used as a surrogate. Using standing height to calculate BMI in the elderly people could be inappropriate because of the reported height loss with ageing, resulting from the compression of vertebrae, kyphosis and osteoporosis (Hickson and Frost, 2003). A simple and reliable measure of height, especially in older people is therefore necessary. To deal with the difficulty of height measurement in the elderly, several height predictors such as knee height, arm span and sitting height can be used (Fatmah, 2010). Thus, there is need to explore the use of arm span, knee height and sitting height as proxy for height to assess the BMI of the elderly.

1.3 OBJECTIVES OF THE STUDY
1.3.1 The General Objective
The general objective of the study is to Predict the Standing Height from Height Proxies for determination of Body Mass Index (BMI) and anthropometric status of older persons in two local government areas of Abia State.

1.3.2 The Specific Objectives

The specific objectives were to:

1. Determine the socio-economic characteristics of the elderly in Umuahia north and Umuahia south Local Government Areas in Abia State.

2. Measure the arm span, knee height, sitting height, and actual height of the respondents.

3. Develop predictive equations for estimating height in the elderly according to sex.

4. Evaluate the relationship between the BMI from arm span, knee height, sitting height and actual height.

5. Determine the socio-economic predictors of BMI calculated from the actual height and other height proxies.

6. Determine the relationship between actual height and height from other proxies.

1.4 SIGNIFICANCE OF THE STUDY
Some anthropometric measurements with different positions may not be effective because of discomfort. Three anthropometric measurements as one tool like a chair can overcome the problems. The result of the study will provide the basis for developing an anthropometric chair (BMI meter) for the elderly nutritional status assessment with ease. 

The study will provide information that will help the community nutritionists, dietitians, home economist and those in related professions to gain knowledge on anthropometry, in determining the nutritional status of the elderly. The study will also be useful to health workers and nutritionists for them to know other height proxies that can be used for older persons who may not stand erect for height measurement.

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