Dietary and lifestyle support for people living with obesity: - - PowerPoint PPT Presentation

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Dietary and lifestyle support for people living with obesity: - - PowerPoint PPT Presentation

CENTRE OF OBESITY RESEARCH, DEPARTMENT OF MEDICINE Primose Hill Surgery Patient Participation Group 14 th November 2019 Dietary and lifestyle support for people living with obesity: update on weight management Dr Adrian Brown PhD RD NIHR


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Dietary and lifestyle support for people living with obesity: update on weight management

Dr Adrian Brown PhD RD NIHR Lecturer/Research Fellow University College London, UK Email: a.c.brown@ucl.ac.uk Twitter: @brownadey

CENTRE OF OBESITY RESEARCH, DEPARTMENT OF MEDICINE

Primose Hill Surgery Patient Participation Group

14th November 2019

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Aims of the session

  • To quickly and efficiently….
  • Set the scene
  • Weight Stigma
  • What works for what patient?
  • Dietary options
  • Why is it so hard to keep weight off?
  • Behaviour change techniques
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“Sudden death is more common in those who are naturally fat than in the lean”

Hippocrates

460 BC – 370 BC

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Overweight and obesity worldwide

Overweight Obesity >650 million adults with obesity >1.9 billion

  • verweight adults

More than half the adult global population has overweight or obesity in 2016

Normal weight

48% 39% 13%

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Changing BMI Distribution & life expectancy

*Based on a meta-analysis of 57 international prospective studies predominantly based in Europe, the United States, Israel, and Australia, including BMI information for 894,576 adults. BMI, body mass index

  • 1. Whitlock G, et al. Lancet. 2009; 373:1083–1096.

BMI 30–35 kg/m2 BMI 40–50 kg/m2 Life expectancy reduced ~3 years Life expectancy reduced 8–10 years Each 5 kg/m2 higher BMI

BMI

Healthy weight Overweight Obesity

18.5 25 40+

Severe obesity

30

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How many food decisions do we make everyday?

What happens if 10% of the decision encourage weight gain?

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Eat Less

It’s simple isn’t it….

Energy balance Energy intake Energy expenditure

Exercise More

&

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This is What’s Really Happening….

(Foresight Report UK, 2007)

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Obesity is a complex disease: Drivers of

  • besity

BMI, body mass index

  • 1. Sharma AM et al. Obes Rev 2010;11:362–370; 2. Chesi A et al. Trends Endocrinol Metab 2015;26:711–721
  • Central nervous system

pathways

– Hunger and reward

  • Brain & Gut signals

– Long-term – Short-term

  • High heritability
  • f body weight, especially at

BMI extremes

  • Genes in hypothalamus

leptin-melanocortin pathway

  • Single genetic mutations

leading to obesity are rare, but variations in many genes may predispose to obesity

  • Socio-cultural factors

– Traditions, belief systems, peer pressure

  • Socio-economic factors

– Education level – Affordability of healthy food

  • Food environment

– Availability of inexpensive, highly palatable food with high fat, sugar and salt content

“Genes loads the gun and environment pulls the trigger” (Dr. K. Bock.)

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Part of the problem is weight stigma….

  • Discrimination or stereotyping based on a person’s weight
  • High prevalent in - Media, education, workplace & even healthcare
  • Healthcare providers perceived people with obesity as:

Lazy Non-compliant Poorly self controlled Weak-willed Sloppy Dishonest

(Flint, 2016 BJO,; Price et al, 1987; Hebl and Xu, 2001; Foster et al, 2003; Ferrante et al, 2009; Puhl and Heuer, 2009; Huizinga et al, 2009). (UK APPG 2018 Report on Obesity)

Unsuccessful

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Dietary management of weight management patient is a dynamic process May require a variety of different dietary changes so flexibility is key

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Different Dietary Options for Weight Management

  • Stabilising eating pattern (Haus et al 1994; Seagle et al., 2009; Wyatt et al., 2002)
  • Low Fat diets (Avenall et al., 2004)
  • 600 calorie deficit diet (Avenall et al., 2004)
  • Mediterranean Diet (PREDIMED Trial, Estruch et al., 2016)
  • Low Glycaemic Index diet (Thomas et al., 2007 & 2009; Ford & Frost, 2010)
  • Very low or Low Carbohydrate diet (Mansoor et al., 2015; Tobias et al., 2016)
  • Intermittent fasting (Harris et al., 2018)
  • Formula diets
  • Meal replacements (Franz et al., 2007)
  • Very Low and Low Energy Diets (Paretti et al., 2016; Johansson et al., 2014)
  • Weight Maintenance (Larsen et al., 2010)

(Franz et al., 2007, JADA, 107 [10]; Avenall et al., 2004)

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What percentage of people who lose 5%

  • f their body weight through lifestyle intervention maintain this after 5 years?

50–75% 30–40% 20–30% <10%

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Maintenance of lifestyle induced weight loss is Challenging

  • 30
  • 25
  • 20
  • 15
  • 10
  • 5

5 Mean change from baseline to end of diet (kg) Mean change from baseline to follow-up (kg)

Anderson et al. Foster et al. Graham et al. Hensrud et al. Jordan et al. Kramer et al. Lantz et al. Murphy et al. S t a l

  • n

a s e t a l . Wadden et al. Walsh & Flynn Wadden & Frey P e k k a r i n e n & M u s t a j

  • k

i S t u n k a r d & P e n i k

Weight change (kg)

Follow-up range from 4 to 7 years Mann et al. Am Psychol 2007;62:220–33

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Why is it so hard to keep weight off?

(Cummings et al., 2002)

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Why is weight loss so hard to keep off?

*p<0.001, †p=0.09 vs mean at baseline (Week 0), ‡p=0.008 ITT, intention to treat Sumithran P et al. N Engl J Med 2011;365:1597–1604

95 90 85 80 8 10 18 26 36 44 52 62 Week Weight (kg) All patients (ITT) Completers 40 20 30 60 120 180 240 Post-meal time (min) Desire to eat (mm) 40 20 30 60 120 180 240 Hunger (mm) Week 0 Week 10 Week 62

*

*

*

*

* * † ‡

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Why is weight loss so hard to keep off?

*p≤0.001; †p=0.002; ‡p=0.003 vs Week 0 GLP-1, glucagon-like peptide-1; PYY, peptide YY Sumithran P et al. N Engl J Med 2011;365:1597–1604

Fasted

127 41 72 184 35 54 153 38 55

20 40 60 80 100 120 140 160 180 200 Ghrelin GLP-1 PYY

* * *

Plasma concentration (pg/mL)

101 48 76 148 48 67 120 44 61

25 50 75 100 125 150 175 Ghrelin GLP-1 PYY

* * *

Plasma concentration (pg/mL)

Post-meal

Week 0 Week 10 Week 62

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Impact of weight loss on Energy Expenditure

  • Matched groups studied while weight was stable at each stage
  • Total energy expenditure, thermic effect of food and resting energy

expenditure were measured

Three groups were matched for weight, fat mass, lean muscle mass, gender and age Rosenbaum M et al. J Clin Invest 2008;118:2583–2591

Usual body weight ≥10 % weight loss sustained for 5–8 weeks ≥10% weight loss >1 year

Resting energy expenditure 60-70% Thermic effect

  • f food

10% Activity energy expenditure 10-30%

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Persistent reduction of energy expenditure after weight loss

Rosenbaum M et al. Am J Clin Nutr 2008;88:906–912

500 1000 1500 2000 2500 3000 3500

Total daily energy expenditure Resting energy expenditure Activity energy expenditure Thermic effect of feeding

Calories per day (kcal)

Weight loss sustained >1 year Weight loss sustained 5–8 weeks No weight loss

~ 500 kcal

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Nothing is in isolation

How do you know when to stop eating?

  • Self-monitoring – Food and mood diaries
  • Hunger Scale
  • Identifying triggers
  • Change your environment
  • Goal setting – clear and concise – 1-2 goals max

(Wing & Hill, 2001;, Wing & Phelan, 2005, Elfhag & Rossner, 2005, Wing et al., 2008, Butryn et al., 2011, Grace, 2011; Nanchahal, 2007; Wensink, 2007 & 2013)

1 2 3 4 5 6 7 8 9 10

Physically Faint Ravenous Fairly Hungry Slightly hungry Neutral Pleasantly Satisfied Full Stuffed Bloated Nauseous

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So where does that leave us?

  • Johnston et al. (2014) Meta-analysis
  • Significant weight loss was observed with both low-carbohydrate or low-fat diet
  • 6-7kg at 12 months follow up compared with no diet – importance of maintenance
  • Weight loss differences between individual named diets were small: not clinical

significant

“Recommending any diet that a patient will adhere to in order to lose weight”

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Take home messages

  • Obesity represent a major threat to global health
  • Overweight and obesity are a normal response to an abnormal

environment

  • Powerful biological mechanisms hamper weight loss maintenance
  • Obesity is a chronic relapsing disease
  • Be aware that weight stigma is prevalent within our society - this

needs addressing

  • “Find what you love doing and keep doing it!”
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Acknowledgments

University College London Team Professor Rachel Batterham, Jed Wingrove, Andrea Pucci, Kusuma Chaiyasoot, Friedrich Jassil, Janine Makaronidis, Jessica Mok, Cormac Magee, Alisia Carnemolla, Roxanne Zakeri, Gemma Montagut-Pino, Nyala Balogum, Jane Fisher University College London Hospital Team

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Question?

Thank you for listening Any questions

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Extra slides

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Dietary factors effecting satiety

  • Protein – greater satiety effect than other macronutrients – 50g
  • GI Index – more complex. Previous low GI foods more satiating but when

factors such as fibre controlled, GI not significant effect

  • Fibre content – Viscous fibres i.e. Petin/guar gum or novel gelling fibres i.e.

Alginates

  • Effect maybe related to the amount of fermentable carbohydrate in Low GI diets
  • Flavour variety – if offered 3 different type of yoghurt compared with one

ate 23 % more

  • Sensory Specific Satiety – senses numbed or satiated if continuously

experience same stimulus

Halton & Hu, 2004; Johnstone et al., 2008; Bornet et al., 2007; Aston et al, 2008; Slavin & Green, 2007 Ford & Frost, 2010; Rolls et al., 1981; Inham, 2001

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Dietary factors effecting satiety

  • Palatability – pleasure can override signals and increase hedonic stimuli
  • Tends to reduce satiation and satiety – can be manipulated
  • Portion Size – if offered larger portions will eat them
  • Television viewing and other distractions

; Blundell & Finalyson, 2004; Ello- Martin et al., 2005; Bellisle, 2006

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Is it all the do with your Genes?

  • Twins and family studies have shown how much a contribution genes

plays on body mass index (BMI).

  • Large differences in the amount weight is heritable
  • Influence of weight higher in children than adults
  • Human Thinness
  • Individuals with BMI<18kg/m2 & healthy; obesity

(Maes et al, 1997, Behav Genet, 27, 325-351; Elks et al.,2012 Front Endo, 3, 29; Riveros-McKay 2019, PLoS Gen

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Chronobiology & Obesity

  • Circadian Rhythm – endogenous circadian “clock” over 24 hours anticipate

feeding, fasting and sleep

  • Suprachiasmatic Nucleus of hypothalamus
  • Blue rich lights – Need to get outside <1% brightness of light outside
  • Disruption from shift work and 24 hour lifestyle causing “social jetlag” and

disruption of rhythms

  • Sleep reduced by 1.5h over past century (Garaulet, 2010)
  • >1/3 adult sleep less than 6hr per night
  • Healthy subjects restricted to 4h sleep 6 consecutive nights – impaired

glucose & reduced insulin to glucose challenge

Garaulet et al., 2010, Int J Obesity, Davidson 2006 Curr Biol 16, R914-016; Sutton et al., 2018, Cell Metabolism