Nutrition, Obesity and Exercise

Rationale


Good nutrition is vital to health and well being and is an essential basis of diabetes management. Obesity is a significant health problem and a major risk factor for serious disease including Type 2 diabetes. Managing obesity is difficult. Regular nutritional assessment is important to maintain the optimal health of people with diabetes as their general health, age and diabetes-related circumstances changes.


The importance of good nutrition


Good nutrition is essential to health. Inadequate nutrition leads to many diseases and affects the primary condition and response to treatment (Sydney-Smith 2000). Sixty per cent of deaths are related to nutritional factors, for example, diabetes-associated cardiovascular disease (Middleton et al. 2001). In particular, micronutrients and protein intake are often inadequate and mineral deficiencies are common in Australia, especially in people living in poverty.


Diets low in vitamins and minerals are also deficient in antioxidants that modulate oxidative tissue damage. Oxidative tissue damage is implicated in the development of long-term diabetic complications and is compounded by smoking, alcohol and chronic inflammatory diseases, see Chapter 8. Vitamins C, E, and A and some plant chemicals (phytochemicals) are naturally occurring antioxidants derived from a well balanced diet.


Obesity


Obesity is defined as excess body fat and is now recognised as a disease in its own right (Marks 2000). Obesity is emerging as a complex phenomena caused by a number of inter-related factors including a high fat energy-dense diet, inadequate amounts of exercise, and genetic, hormonal and environmental factors (Brunner & McCarthy 2001; Bouchard et al. 2004). The estimated risk of becoming obese using data from the Framingham Study suggests a normal weight person has a 50% long-term risk of becoming overweight and 25% risk of becoming obese (Reynolds et al. 2005). Significantly, a number of studies suggest underweight might confer greater health risks in older people (Diehr et al. 1998, 2008).


Some medicines such as corticosteroids, antipsychotics, birth control medicines, insulin, sulphonylureas, and thiazolidinediones (TZDs) also contribute to weight gain, see Chapter 5. There is increasing evidence that ethnicity, difficult social environments, social isolation, being teased about weight, low self-esteem and low global self-worth contribute to obesity in children (Goodman & Whitaker 2002; Eisenberg et al. 2003). Contributing environmental factors include excess television viewing, insufficient physical activity, which might be influenced by living in unsafe areas, and high consumption of fast foods (Burdett & Whitaker 2005).


The prevalence of overweight and obesity are increasing globally but there are differences among populations and among ethnic groups within populations. Rates of overweight and obesity are also increasing in children and adolescents. A child with one overweight parent has a 40% chance of becoming overweight and the risk increases to 80% when both parents are overweight. Significantly, obesity makes it difficult for health professionals to perform some preventative health care interventions such as Papinocolou smears and mammograms and overweight women are more likely to have false-positive results than non-obese women (Elmore et al. 2004).


Overview of the pathogenesis of obesity


Abdominal fat is not inert. It produces signalling molecules, adipokines, which exacerbate endothelial dysfunction. A number of adipokines are produced, see Table 4.1. In addition, the endocannabinoid (CRB) neuroregulatory system influences the activity of other neurotransmitter systems including hormone secretion and modulates immune and inflammatory responses. Likewise, understanding of the role of white adipose tissue in regulating body metabolism, insulin sensitivity, and food intake has increased rapidly over the past few years.


The CRB consists of many CRBs including CB1 and CB2. CBI occurs through the body including the brain, adipose tissue, vascular endothelium and sympathetic nerve terminals. CB2 mostly occur in lymph tissue and macrophages. In addition, a number of subtypes exist whose function is yet to be determined. They regulate metabolism in a number of ways. Blocking CB1 reduces food intake, abdominal fat, triglycerides, LDL, C-reactive protein (CRP), and insulin resistance; it increases HDL. Activating CB1 has the opposite effect. Data from the RIO-Europe trial showed significant weight reductions and reduction in cardiometabolic risk factors such as waist circumference, triglyceride levels and elevated HDL using the CB1 blocker, Rimonabant, compared to controls (Van Gaal 2005). The latter effects occurred independently of weight loss. People taking Rimonabant averaged 4.7 kg weight loss after a year and were more likely to achieve a 10% weight loss than controls.


Table 4.1 Effects of adipokines and changes that occur in the presence of abdominal obesity, which demonstrates their role in the development of insulin resistance, Type 2 diabetes and cardiovascular disease.














































Name of adipokine Effects in the body Effect of increasing abdominal obesity on adipokine levels
Tumour necrosis factor-alpha Disrupts insulin signalling processes in the cell membranes. Reduces endothelial vasodilatation by reducing nitric oxide Higher
Interleukin -6 Stimulates rate of C-reactive protein release from the liver Induces insulin resistance Damages endothelial function Higher
Plasminogen Activator Inhibitor-1 Enhances prothrombotic state Higher
Leptin Regulates: Higher

•Appetite

• Energy expenditure

•Insulin sensitivity

Stimulates the sympathetic nervous system

Acts as a signalling factor in hypertension Higher
Adiponectin Improves tissue sensitivity Anti-inflammatory Reduces atherogenesis Lower
Angiotensinogen Contributes to hypertension Higher

White adipose tissue has many functions including acting as a storage depot for triglycerides. It is regarded as an endocrine organ that secretes a range of adipokines, which influence weight, inflammation, coagulation, fibrinolysis, tissue response to insulin, and contribute to the development of metabolic syndrome and Type 2 diabetes. Energy balance is impaired and obesity results if white adipose tissue function is disrupted (Iqbal 2007), see Table 4.1. Ghrelin is produced in the stomach and mediates hunger. Ghrelin levels are increased by restricting calories and exercising (Leidy et al. 2007).


Adipose tissue has a major role in hormone metabolism such as synthesising oestrogen in postmenopausal women, which is protective against osteoporosis (Moyad 2004). Likewise, replacing testosterone preserves skeletal muscle and reduces abdominal obesity in non-obese men over 50 years whose testosterone level is <15 nM (Allan 2009).


The significance of abdominal obesity


People with central or abdominal obesity are at increased risk of obesity-related diseases such as metabolic syndrome, Type 2 diabetes, dyslipidaemia, fatty liver, and therefore are at significant risk of cardiovascular disease. Obesity is a risk factor for shortened life expectancy in younger but not older people (Heiat et al. 2001) and the importance of overweight and obesity as predictors of health status decline in people >65 years. In fact, some research indicates being overweight is associated with better quality of life and health status in this age group (Stevens 2000).


Weight circumference is significantly correlated with triglycerides, CRP, cholesterol and glucose but not HbA1c in healthy women (Behan & Mbizo 2007). Likewise, the INTERHEART Study Group (2005) demonstrated that waist circumference is strongly related to myocardial infarction but the level of risk is still debated. Physical fitness may reduce the inflammation associated with abdominal obesity and lower cardiovascular risk (Zoeller 2007).


Various cardiovascular risk scores have been developed based on parameters such as age, gender, total cholesterol, LDL, systolic blood pressure, being treated for hypertension and smoking, for example, The Framingham Risk Score (Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2002) and the Systemic Coronary Risk Evaluation (SCORE) (Third Joint Taskforce of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (2003). However, a 12-year US study of people in their 60s suggests obese people live as long as people of normal weight and are less likely to develop diabetes or lipid abnormalities if they are fit. However, at BMI >30 people experience difficulty performing usual activities of daily living and develop other obesity-related disorders such as musculoskeletal disease that cause pain and have lower muscle strength and reduced cardiovascular fitness (ABC Health and Well Being 2007). Thus, the focus of weight management must also include reducing disability.


Other obesity-related diseases include osteoarthritis, rheumatoid arthritis, and other musculoskeletal diseases, some forms of cancer, for example, breast, oesophagus, colorectal, endometrial and renal cell, sleep apnoea and daytime sleepiness, gout, urinary stress incontinence, surgical complications, and maternal obesity has been associated with a higher incidence of birth defects.


Nutrition, obesity and stress


There is a complex association between nutrition and stress and overweight/obesity. Stress affects eating behaviour: most people eat more and gain weight; 30% reduce weight (Stone et al. 1994) but the reasons for the increased intake are unclear. Likewise, Fiegal et al. 2002) found people are concerned about life stress and 50% eat more calorie dense food when they are stressed, and undertake less activity. A suggested mechanism for the effect of stress on weight is that cortisol levels are increased during stress, which stimulates appetite: managing stress reduces stress-related intake. In addition, chronic low level stress reduces insulin sensitivity and contributes to abdominal obesity and metabolic syndrome.


Significantly, 45% of women and 23% of men think they are overweight and 20% of underweight women think they are overweight and are dieting to lose weight (Better Health Channel, January 2008). People use a range of self-initiated strategies to lose weight, which are often successful initially, but regain half to two thirds of the weight lost in the first 12 months and nearly all within 5 years. In contrast, the NHANES 1999–2002 showed 58% of people who lost >5% of their bodyweight maintained the weight loss for up to 5 years. Factors associated with weight gain included:



  • Mexican-American peoples.
  • Significant weight loss.
  • Fewer years since reaching their maximum weight.
  • Long time spent watching TV including children.
  • Attempting to control weight.
  • Sedentary lifestyle.
  • Frequent attempts to diet were associated with increased risk of developing an eating disorder.

Ethnic differences could partly explain the different findings. In addition, people who are supported are more likely to stay motivated than those who ‘go it alone.’ Selfperception and body image influence quality of life and mood and there is a pervasive association between perception of being overweight and depression and disordered body image.


Methods of measuring weight


Measuring obesity is difficult. A number of methods are used. Each has advantages and disadvantages.


Crude weight


Weighing people is the simplest way to estimate obesity using height/weight standards. It does not take into account muscular builds at different heights or that lean body mass weighs more than fat tissue. Mild obesity = 20– 40% overweight; moderate obesity = 41–100%, and severe obesity = twice the actual weight for height.


Body Mass Index


The Body Mass Index (BMI), sometimes referred to as Quetelet’s Index, is a simple method of assessing obesity but, like crude weight, it does not take into account muscular builds at different heights. However, despite the limitations BMI >30 generally indicates excess adipose tissue. BMI should be interpreted according to growth charts in children. BMI is calculated using the following formula: Weight in kilograms divided by height in metres squared.


Waist-hip ratio


The waist-hip ratio (WHR) is measured with the person standing and specifically measure abdominal obesity. The waist is defined as the largest abdominal circumference midway between the costal margin and the iliac crest. A WHR >90 in men and >80 in women is generally regarded as an accurate predictor of obesity-related disorders, independently of the BMI. WHR can be affected by postprandial status, time of day, and depth of inspiration to an unknown degree. It includes both intra-abdominal fat (the area of interest) and subcutaneous fat, but it is not clear how to adjust the WHR for subcutaneous fat. There are also differences among ethnic groups that need to be considered. It is useful to record the WHR on a regular basis.


Other ways of measuring body fat include:



  • Dual energy X-ray absorptiometry (DEXA), which is often used in research and to determine risk of osteoporosis. Lean body mass, skin fold thickness, densitometry hydrostatic weighing and bioelectrial impedence analysis are other ways to measure obesity.

Strategies used to measure food consumption:


A number of tools are used to estimate food intake over various time periods. These include:



  • Food records: the individual keeps a detailed record of their intake for varying periods from 3 to 7 days. Maintaining a food record can be burdensome and requires the person to be literate. In addition, actually recording intake often influences the person to consider what they eat and change their usual eating pattern.
  • Food frequency questionnaires (FFQ) to retrospectively estimate usual dietary intake over time, usually 6–12 months. Information is collected about specific types of food and the quantities and frequency with which they are consumed. Short (60 foods) and long (100 foods) FFQs are used. FFQs must be culturally relevant and a number of culturally relevant forms exist. Modified FFQs identify dietary fat, fibre, fruit, and vegetable intake.
  • Dietary recall, often over 24-hours to estimate current intake. Accuracy is influenced by the individual’s ability to recall the type and quantity of food consumed. Most people underestimate their intake.
  • Visual estimation, where trained observers monitor an individual’s food choices, classifies foods using a rating scale and estimates serving sizes. This is intimidating and may influence the individual’s food selection. Nurses can undertake this type of monitoring process.
  • Plate waste methodology, which has been used extensively in studies of food intake in school children but is not practical in clinical practice.
  • Screening tools such as;

    • Malnutrition Universal Screening Tool (MUST) for adults (Malnutrition Advisory Group (MAG) 2000).
    • Nutritional Risk Screening (NRS-2002) for hospital settings.
    • Mini Nutritional Assessment (MNA©) for the elderly (Vellas et al. 1999).
    • The Healthy Eating Index (HEI) and Modified HEI for children and adolescents (Feskanich et al. 2004).
    • Biomarkers to identify specific food components in body fluids or tissue, which independently reflect intake of the particular food.

Managing obesity and diabetes


Obesity and Type 2 diabetes are chronic conditions and long-term management strategies are needed. Usually a combination of strategies is most effective especially when they are developed in consultation with the individual. In the first instance, energy-dense food intake such as simple carbohydrates and saturated and trans fats should be reduced, exercise increased, and possibly more sleep (Lamberg 2006). Exercise needs to be enough to increase total energy expenditure to 160–180% of the resting metabolic rate (Erlichman et al. 2002). Increasing exercise with or without a weight loss diet induces a modest weight loss. People with diabetes should have a thorough physical assessment before undertaking exercise and weight loss programs that need to be individualised for best effect. Along with diet, exercise prescriptions (Elfhag et al. 2005) and wearing a pedometer (Richardson et al. 2008) can help the individual achieve weight loss.


Counselling and behavioural strategies that encompass support, exercise and dietary counselling are effective and in Australia are supported through some health benefit funds. For example, commercial diet oriented weight loss programmes such as Step into Life, Mass Attack Weight Loss Program, Lite n’ Easy, ClubOptiSlim. Some of these programs deliver nutritionally balanced portion controlled low fat meals to the individual’s home.


Prepared low-energy meals or meal replacements that replace some or all of the individual’s diet can be useful as an initial weight loss strategy or to avoid refeeding syndrome after severe calorie restriction or bariatric surgery. However, they can be expensive in the long term.


Self-help programmes often combine lifestyle change, computer-assisted interventions, packaged programmes such as Internet correspondence courses, and take home weight loss kits. Self-help programmes are difficult to measure but Latner (2001) claimed 45% of people using such programmes lose weight and keep it off. Knowledgeable clinicians can support individuals likely to benefit from a self-help approach (Tan et al. 2006).


Significantly, public health programmes that involve health providers, legislators, the food industry, and health insurers are needed and must include children and adolescents. Weigh loss strategies may need include strategies to keep people physically active in the longer term and recent research suggests it could be important to minimise exercise variation because maintaining exercise at a consistent level moderates age-related weight gain in proportion to the amount of exercise performed (Williams 2008). Even fit people tend to gain weight with increasing age, thus the amount of exercise may need to be increased to reduce age-related weight gain (Williams 2008). Significantly, stopping exercise leads to weight gain.


Dietary management: diabetes


Diet is the mainstay and first line of treatment of Type 2 diabetes to control blood glucose and manage cardiovascular and other health risks. The aim is to achieve a healthy weight range for the individual. The aim is to achieve an appropriate weight within the healthy weight range for the individual, but focusing on weight might mean the under nutrition is not considered, which as indicated, might confer more health risks than overweight especially in older people.


Expert dietary advice is essential but the changing role of the nurse and the focus on the preventative aspects of healthcare mean that nurses have a responsibility to develop a knowledge of nutrition and its role in preventing disability and disease. A number of basic screening tools can be used to identify dietary intake and nutritional characteristics and can be incorporated into usual nursing assessment and patient care plans and enable useful information to be communicated to the dietitian.


The general dietary principles apply to the whole population as well as all people with diabetes. Precise advice depends on the individual’s age, gender, lifestyle, eating habits, cultural preferences and nutritional requirements. It is important that realistic targets are negotiated with the patient, particularly if weight control is necessary. The goal is to achieve gradual progressive weight loss to reduce weight by 5–10%, which is usually achievable and improves the health profile (Pi-Sunyer 2006).


The effect of medications, fasting for procedures, and gastrointestinal disturbances such as diarrhoea and vomiting, on food absorption and consequently blood glucose levels is an important consideration especially during illness.


Optimal nutritional care is best achieved by collaboration among nurses, other health professionals and the dietitian to decide the most appropriate management regimen. Nurses have the greatest continuous contact with the patient in hospital; consequently they have an invaluable role in nutritional management by:



(1) Identifying patients at high risk of nutritional deficiencies. Approximately 30% of all patients in hospital are undernourished (Kondrup et al. 2003).

(2) Screening patients’ nutritional characteristics to identify actual and/or potential problems, for example:

  • inappropriate, erratic, and over eaters, and those with eating disorders. Screening processes should be connected to relevant actions. For example, if the person is eating appropriately, arrange for regular screening at specified intervals. If the person is at risk of an eating disorder, an appropriate nutrition plan needs to be determined. If functional, metabolic, or diabetes-related complications are present, standard nutrition plans may not be appropriate and dietitian advice will be needed (Kondrup et al. 2003). The following factors need to be considered when deciding the level of risk: the current condition, whether the condition is stable (weight loss/gain can be assessed from the health history), the significance of the condition and whether it is likely to deteriorate or improve, and any disease processes that affect nutritional status such as appetite, diabetes complications, and hyperglycaemia. Managing eating disorders is challenging because people often do not consider their eating behaviour as a problem, or deny they have an eating problem. Repeated episodes of ketoacidosis (DKA) could indicate an eating disorder and needs to be investigated. Young people with diabetes often run their blood glucose levels high to loose weight, which puts them at risk of DKA (see Chapters 7 and 13). Cognitive behaviour therapy may be a useful strategy when the eating disorder is mild-moderate. The complex underlying issues need to be ascertained and managed.
  • those with domestic, financial, and/or employment problems.

(3) Providing ongoing patient monitoring on a meal-to-meal basis.

Example questions to ask when taking a diet history. The questions should be asked sensitively as part of a nutritional assessment.



(1) Do you have regular meals?

  • It is important to clarify what the individual means by ‘regular’ and whether they skip meals and if they do when and why. For example, a nurse with diabetes working in the operating theatre might find it difficult to always predict when the operation will finish.

(2) Do you have a good breakfast?

  • Poor morning appetite can indicate nocturnal hypoglycaemia and catecholamine production to maintain the falling blood glucose.
  • People who do not eat breakfast often snack later in the day on energy-dense foods and can be protein deficient.
  • Missing breakfast interferes with work performance.

(3) How often do you eat takeaway foods?

  • Takeaway foods tend to be high in fat, salt and sugar and low in fibre, protein and essential vitamins and minerals.

(4) Do you eat cream biscuits, chocolates or lollies?

  • This question is a way of checking the individual’s intake of sugar and fat.

(5) Can you tell me some of the foods you eat that contain carbohydrate?

This information provides the basis from which nursing staff can quickly and effectively refer patients to the dietitian who can support nursing staff by:



  • Setting dietary management goals for the individual consistent with their health status, lifestyle and healthcare goals.
  • Identifying possible nutritional problems. Estimating caloric intake is difficult because people generally underestimate their caloric intake by as much as 50% despite trying to keep accurate food records (Fabricatore 2004) but 3-day food records can be helpful to health professionals and the person with diabetes.
  • Identifying causes of possible nutritional problems and suggesting strategies to overcome them.
  • Counselling and educating the patient about how to reduce the risks associated with these problems.
  • Supporting nursing and medical staff on an ongoing basis to ensure most effective nutritional management is achieved and maintained (Dunning & Hoy 1994).

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Jul 23, 2016 | Posted by in ENDOCRINOLOGY | Comments Off on Nutrition, Obesity and Exercise

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