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JA MES H . LYONS , NUTRITIONIS T
& EX P ERT HE ALTH WRITE R
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ja m e s l yo nsnutr-© J a m e s H. Lyons-
Table of Contents
WEB & PRINT WRITING SAMPLES
How Nicotine Affects Sleep
p3
Best Vegan Omega-3 Supplements
p8
Causes & Symptoms of Serious Vitamin D Deficiency
p 14
TECHNICAL WRITING SAMPLE
Biochemical and Metabolic Role of B Vitamins in Energy
Metabolism (Excerpt) (2017)
p 21
POLICY REVIEW SAMPLE
Major determinants of poor dietary choices in childhood
obesity in Australia & the effectiveness of individual
behavioural change strategies vs. social-ecological
health promotion (Excerpt) (2016)
p 24
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© James H. Lyons, 2017
Web & Print Writing Sample
NOT TO BE REPRODUCED
BIOCHEMICAL AND METABOLIC ROLE OF
B VITAMINS IN ENERGY METABOLISM
(EXCERPT)
The tricarboxylic acid cycle (TCA cycle) is a series of oxidative reactions within the
mitochondrial matrix. Reactions within the cycle produce NADH and FADH2 and these
reduced nucleotides have the redox potential to drive ATP synthesis via the respiratory
chain, supplying cellular energy in aerobic conditions (Hames & Hooper, 2011,
p. 393; Mailloux et al., 2007, p. e690). Certain B vitamins are essential cofactors
for enzymes within the TCA cycle (Gropper & Smith, 2013, p. 87), the formation
of nucleotides (Magni et al., 2004, p. 20), and the transfer of hydrides within the
respiratory chain (Sun et al., 2006, p. 1054).
Thiamin (B1) is required for the function of pyruvate dehydrogenase complex (PDHC)
and a-ketoglutarate dehydrogenase complex (aKGDH) (Londsdale, 2006, p. 51;
Tretter & Adam-Vizi, 2005, p. 2335).
Riboflavin (B2) is essential for the formation of flavin mononucleotide (FMN) and avin
adenine di-nucleotide (FAD) which participate in the transport of electrons in reactions
catalysed by PDHC, aKGDH, and succinate dehydrogenase (Patel & Korotchkina,
2006, p. 7; Shi et al., 2005, p. 10888; Horse eld et al., 2005, p. 7309).
Niacin (B3) is a precursor for
nicotinamide adenine nucleotide
(NAD), the oxidising agent that
accepts electrons in reactions
catalysed by PDHC, isocitrate
dehydrogenase, aKGDH, and
malate dehydrogenase, then
carries them to complex I (Kickoff,
2011) of the electron transport
chain to produce ATP (Mailloux et
al., 2007, p. e690).
Pantothenic acid (B5) is a precursor
to coenzyme A, an essential
component of the intermediates
acetyl-CoA and succinyl-CoA
(Leonardi et al., 2010, p. e11107).
Ultimately, the role of these B
group vitamins in the TCA cycle
and respiratory chain is to ensure
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proper function of these pathways which supply ATP and metabolic intermediates that
are essential for biological processes.
THIAMIN (B1)
Form: Thiamin, phosphorylated as thiamin diphosphate (TDP) also known as thiamin
pyrophosphate (TPP).
ACTIONS:
1. Pyruvate Dehydrogenase (E1) forms one-third of the pyruvate dehydrogenase
complex (PDHC) and uses TPP as a coenzyme in the catabolism of pyruvate to acetylCoA (Londsdale, 2006, p. 51; Patel & Korotchkina, 2006, p. 6; Thomson, Guerrini &
Marshall, 2012, p. 85).
Mechanism of Action: To move its reactive state, TPP forms a hydrogen bond with
the glutamate residue (Glu59) within pyruvate dehydrogenase and loses a hydride,
creating a negatively charged carbanion located between the nitrogen and sulphur
atoms of its thiazole ring (Ciszak et al., 2003, p. 21241; Patel & Korotchkina, 2006,
p. 6; Jordon & Patel, 2004, p. 58). This carbanion readily bonds with pyruvate,
holding it in place while pyruvate dehydrogenase removes the substrate’s carbonyl
group, releasing CO2 and yielding hydroxyethyl-TDP (Gropper & Smith, 2013, p. 323;
Jordon & Patel, 2004, p. 58).
This is then metabolised by two additional enzymes in PDHC which require riboflavin
and niacin.
(University of Illinois, 2004)
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2. a-Ketoglutarate Dehydrogenase Complex (aKGDH) is a collection of three enzymes
which convert a-ketoglutarate into succinyl-CoA, and TPP is a cofactor for its rst
subunit, (E1) a-ketoglutarate dehydrogenase (Londsdale, 2006, p. 50; Reed, 2001, p.
38330; Tretter & Adam-Vizi, 2005, p. 2335).
Mechanism of Action: As with PDHC, the thiazole ring of TPP loses a hydride and
creates a reactive carbanion which bonds to and holds a-ketoglutarate in place while
the enzyme, a-ketoglutarate dehydrogenase, removes the carbonyl group from the
substrate (Gropper & Smith, 2013, p. 323; Reed, 2001, p. 38330).
RECOMMENDED DAILY INTAKE OF THIAMIN:
AGE
FEMALE
MALE
1–3 years
0.5mg/d
0.5 mg/d
4–8
0.6 mg/d
0.6 mg/d
9–13
0.9 mg/d
0.9 mg/d
14–18
1.0 mg/d
1.2 mg/d
19–30
1.1 mg/d
1.2 mg/d
30>
1.1 mg/d
1.2 mg/d
Pregnancy &
Lactation
1.4 mg/d
1.4 mg/d
(NHMRC, 2006, pp. 68 - 69)
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© James H. Lyons, 2017
Web & Print Writing Sample
NOT TO BE REPRODUCED
MAJOR DETERMINANTS OF POOR DIETARY
CHOICES IN CHILDHOOD OBESITY IN
AUSTRALIA & THE EFFECTIVENESS OF
INDIVIDUAL BEHAVIOURAL CHANGE
STRATEGIES VS. SOCIAL-ECOLOGICAL HEALTH
PROMOTION (EXCERPT)
INDIVIDUAL CHANGE STRATEGIES
VERSUS
SOCIO-ECOLOGICAL HEALTH PROMOTION
INDIVIDUAL BEHAVIOURAL CHANGE STRATEGIES
The transtheoretical model (TTM) of behavioural change is a common framework for
individual behaviour change strategy, and is readily applied to weight loss. It involves
six steps for understanding behaviour, and where individual intervention can occur: (i)
pre-contemplation, (ii) contemplation, (iii) preparation, (iv) action, (v) maintenance,
and (vi) termination(Prochaska & Velicer, 1997, p. 38).
Health education and behavioural therapy are the most common individual
behavioural change strategies and take a downstream approach to encourage the
individual to change their eating behaviour (Bray, 2012, p. 1). The reach of individual
behavioural change strategies are highly limited as they, by their nature, only impact
the individual. Success has been shown to be limited and short-lived, with relapse is
common (Tuah et al., 2011, p. 1). As such, intervention of individual-level determinants
has little impact on long-term weight-loss obesity, and any short-term success was
shown to have little impact at a larger scale (Jeffery, Drewnowski, Epstein, Stunkard,
Wilson, Wing & Hill, 2000; Lakerveld et al., 2012, p. 2).
An ACE (Assessing Cost Effectiveness) study of Australian interventions aiming to
reduce childhood obesity found that strategies targeting individual determinants had a
much higher cost and lower reach than socio-ecological health promotion campaigns
(Carter, Moodie, Markwick, Magnus, Vos, Swinburn & Haby, 2009, pp. 4 – 5):
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TABLE 1
COST OF INDIVIDUAL BEHAVIOURAL CHANGE STRATEGIES:
Family-based G.P. Intervention modelled on the Live $650 per child
Eat and Play (LEAP) program involving multiple GP $6.3m total
consultations with the aim to identify and modify
be- havioural determinants of the child/family’s
physical activity and nutrition.
Reach: 9, 685 children
Active After School Community Program involving
eight weeks of out-of-school hours organised
physical activity, education, and a nutritious snack.
$407 per child
$40.3m total
Reach: ~ 99, 000 children
dfg School-Based Peer-Led Program
involving a twelve week intervention in- volving
peer counselling, 15 minutes of guidance by
a psychologist weekly, weekly weigh-ins with
incentives for >0.25kg loss- es, and 15-minute
exercise classes.
$129 per child
(due to reduced
cost by enrolling
peer volunteers)
$2.2m total
Reach: ~ 17, 000 children
SOCIO-ECOLOGICAL HEALTH PROMOTION CAMPAIGNS:
Reduction of TV advertising of high fat and/or high
sugar foods & drinks to chil- dren
Reach: 268,600 children
TravelSmart Schools
involving community wide information ses- sions,
professional development for teach- ers, and
community promotion.
$103 per child
$27.7 million
total
$50 per child
$13.3 million
total
Reach: 267,700
(Carter, Moodie, Markwick, Magnus, Vos, Swinburn & Haby, 2009, pp. 4 – 5)
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Within individual intervention programs, parent-only group-based intervention involving
just the parent has shown comparable effectiveness to family-based or child-withparent intervention, at a signi cantly lower cost ($13,546 versus $20,928 respectively)
(Janicke, Sallinen, Perri, Lutes, Silverstein & Brumback, 2013, p. 329).
Further considerations include accessibility as the cost of clinic-based weight-control
programs can be prohibitive for many families, especially those with low SES who, as
already discussed, are more susceptible to determinants for childhood obesity (Tuah et
al., 2011, p. 1).
SOCIO-ECOLOGICAL HEALTH PROMOTION
The socio-ecological framework promotes whole-system interventions where multiple
levels of in uence must be considered: (i) individual lifestyle factors; (ii) social and
community networks; (iii) living and working conditions; and (iv) socio-economic,
cultural and environmental conditions (Whitehead, 2007, p. 478). The ACE study
found that socio-ecological health promotion interventions were more cost effective
than those focussed on individual determinants (see: table 1).
Given children’s position in society and their reliance on environmental factors to guide
their food choices (parents, family, school and social supports), it follows that socioecological factors are key targets for intervention to change determinants of childhood
obesity (Lawrence & Worsley, 2007, p. 106; Mitchell, Catenacci, Wyatt, & Hill, 2012,
pp. 720-721).
Children are especially at risk of weight gain during times of changing circumstances,
particularly entry into primary school, thereby making schools a useful target for
intervention (Langley-Evans, 2009, p. 153). The limited effectiveness of behavioural
and educational interventions has led to a greater focus on legislation and policy
around nutritional content of school food (Moore, Silva-Sanigorski & Moore, 2013, p.
1001).
However, health promotion initiatives within schools have rarely encompassed all
levels of influence – either by focussing on proximal environments (home, school and
classroom) but excluding the level of policy, or by creating policy that doesn’t consider
the in uence of proximal environments (Moore, Silva-Sanigorski & Moore, 2013, p.
1001). Therefore, the full capacity for socio-ecological health promotion has rarely
been explored within schools.
The Be Active Eat Well (BAEW) project was a community-wide initiative in rural
Victoria from 2003 – 2006 which successfully decreased the average childhood
BMI by following a framework that took into consideration social determinants of
health, community participation, community capacity building and the socio-ecological
framework (Moore, Silva-Sanigorski & Moore, 2013, p. 1002 ; Sanigorski, Bell,
Kremer, Cuttler & Swinburn, 2008, pp-). Interventions were implemented in
multiple settings and involved whole-family education, reduced access to energy-dense
snacks, increased fruit intake, and improved activity (Lawrence & Worsley, 2007, p.
209). A top-down approach was taken by engaging stakeholders during development,
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implementing an extensive social media campaign, changing school food policies,
supplying professional development for canteen staff, and holding promotional events
at local food stores, in conjunction with individual behavioural change strategies
such as “taste tests” and changed curriculum to provide food education and promote
healthier food choices by children (Moore, Silva-Sanigorski & Moore, 2013, p. 1002).
The success of the project continued beyond the intervention and a 2013 review
found that surrounding communities had also experienced benefit, suggesting that
well-designed obesity prevention strategies are highly sustainable and can “spread”
(Lawrence & Worsley, 2007, p. 209).
The BAEW project proved to be affordable and cost effective, with substantial spin-off
effects beyond funding levels. It cost $0.34M annually, and saved an estimated 10.2
Disability Adjusted Life Years (DALYs) and 547 BMI units (Moodie, Herbert, SilvaSanigorski, Mavoa, Keating, Carter, Waters, Gibbs & Swinburn, 2013, p. 2079).
In comparison, the NSW Go4Fun program was a large scale bi-weekly after school
program attended by family or parent-and-child. Go4Fun was designed on a single
level to change individual behavioural determinants of childhood obesity by engaging
participants in weight loss via education, skills training and motivational enhancement,
and half an hour of organised physical activity (Welsby, Nguyen, O’Hara, InnesHughes, Bauman & Hardy, 2014, p. 2). Outcome of lowered BMI was not reported,
and the program showed poor attendance particularly by those from socially
disadvantaged backgrounds and low SES (ibid., p. 6). Cost effectiveness was not
reported.
In conclusion, the greatest impact on improving dietary choices in children is through
socio-ecological health promotion that includes individual behavioural change
strategies. Individual interventions tend to be costly and only effective short-term, while
socio-ecological health promotion is most successful when involving multiple levels of in
uence. There is a need for increased policy, both at community and national levels, to
compliment the current behavioural intervention programs.
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