More Than This Patrick Ness Epub 21

The discovery of a novel serum autoantibody (termed NMO-IgG or AQP4-Ab) in =
a subset of patients in 2004 has revived interest in neuromyelitis optica (=
NMO). While the history of classical multiple sclerosis has been extensivel=
y studied, only little is known about the history of NMO. In the present ar=
ticle, we provide a comprehensive review of the early history of this rare =
but intriguing syndrome. We trace the origins of the concept of NMO in the =
19th century medical literature and follow its evolution throughout the 20t=
h and into the 21st century. Finally, we discuss recent proposals to revise=
 the concept of NMO and explain why there is indeed a need for a more syste=
matic and descriptive nomenclature.

more than this patrick ness epub 21
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Accumulating evidence suggests that, independent of physical activity level=
s, sedentary behaviours are associated with increased risk of cardio-metabo=
lic disease, all-cause mortality, and a variety of physiological and psycho=
logical problems. Therefore, the purpose of this systematic review is to de=
termine the relationship between sedentary behaviour and health indicators =
in school-aged children and youth aged 5-17 years. Online databases (MEDLIN=
E, EMBASE and PsycINFO), personal libraries and government documents were s=
earched for relevant studies examining time spent engaging in sedentary beh=
aviours and six specific health indicators (body composition, fitness, meta=
bolic syndrome and cardiovascular disease, self-esteem, pro-social behaviou=
r and academic achievement). 232 studies including 983,840 participants met=
 inclusion criteria and were included in the review. Television (TV) watchi=
ng was the most common measure of sedentary behaviour and body composition =
was the most common outcome measure. Qualitative analysis of all studies re=
vealed a dose-response relation between increased sedentary behaviour and u=
nfavourable health outcomes. Watching TV for more than 2 hours per day was =
associated with unfavourable body composition, decreased fitness, lowered s=
cores for self-esteem and pro-social behaviour and decreased academic achie=
vement. Meta-analysis was completed for randomized controlled studies that =
aimed to reduce sedentary time and reported change in body mass index (BMI)=
 as their primary outcome. In this regard, a meta-analysis revealed an over=
all significant effect of -0.81 (95% CI of -1.44 to -0.17, p =3D 0.01) indi=
cating an overall decrease in mean BMI associated with the interventions. T=
here is a large body of evidence from all study designs which suggests that=
 decreasing any type of sedentary time is associated with lower health risk=
 in youth aged 5-17 years. In particular, the evidence suggests that daily =
TV viewing in excess of 2 hours is associated with reduced physical and psy=
chosocial health, and that lowering sedentary time leads to reductions in B=
MI.

Table 2 provides a summary of all studies included in the review. The major=
ity of the studies included in this systematic review were cross sectional =
(n =3D 177). In total, data from 983,840 participants were included in this=
 review. Studies ranged from 30 participants in intervention studies and RC=
Ts, to 62,876 participants in cross sectional observational investigations.=
 Articles were published over a 51 year period from 1958 to 2009, and inclu=
ded participants ranging from 2-19 years of age. Although the scope of the =
review focused on those 5-17 years of age, studies that had a range below 5=
 years or over 17 years were not excluded as long as the mean age was betwe=
en 5-17 years. Included studies involved participants from 39 countries; th=
ere were a greater number of articles reporting on female-only data than th=
ose reporting on male-only data. Translators were contracted to read non-En=
glish articles and complete any necessary data extraction for studies that =
met inclusion criteria (n =3D 8).

Eleven studies assessed the relationship between time spent engaging in sed=
entary behaviour and risk factors for MS and CVD (Table 5). All of the stud=
ies reported that increased sedentary time was associated with increased ri=
sk for MS or CVD. However, the results of these studies should be viewed wi=
th caution as the proportion of children and youth who have measurable heal=
th risk factors for MS or CVD is quite low. Longitudinal studies found that=
 those watching more than 2 hours of television per day had higher serum ch=
olesterol levels [88] and were more likely to have high blood pressure [215=
] than their peers who watched less TV. Cross sectional studies reported th=
at high levels of screen time and self-reported sedentary behaviour were as=
sociated with increased risk for high systolic and diastolic blood pressure=
 [47, 108, 216, 217], higher HbA1 c [218], fasting insulin [134, 216], insu=
lin resistance [48, 219], and MS [220]. These risk factors increase in a do=
se response manner with increased screen time [216, 220]. One cross section=
al study reported a significant relationship between watching TV and increa=
sed cholesterol in adolescents, but not in younger children [185]. The leve=
l of evidence for MS and CVD risk factors was classified as Level 3 with a =
mean Downs and Black score of 21.7 (standard deviation:  2.1), indicating m=
oderate quality of reporting.

Based on this systematic review of 232 studies, sedentary behaviour (assess=
ed primarily through increased TV viewing) for more than 2 hours per day wa=
s associated with unfavourable body composition, decreased fitness, lowered=
 scores for self-esteem and pro-social behaviour and decreased academic ach=
ievement in school-aged children and youth (5-17 years). This was true for =
all study designs, across all countries, using both direct and indirect mea=
surements, and regardless of participant sample size. All studies examining=
 risk factors for MS and CVD disease reported that increased sedentary time=
 was associated with increased health risk; however, the included studies e=
xamined a wide range of risk factors, and thus there was insufficient evide=
nce to draw conclusions on the relationship for metabolic risk as a whole.



Our study has limitations, including the types of outcome measurements and =
analyses reported in the primary studies and primary study quality. The sco=
pe of this review was large and included a great deal of health indicators =
and measurement tools. A more detailed meta-analysis would have allowed us =
to estimate the overall effect sizes for each outcome. However, due to the =
heterogeneity of the data, it was impossible to complete such analysis. Fur=
thermore, some studies had missing information on participant characteristi=
cs making it impossible to determine if basic demographics act as a confoun=
der for the relationship between sedentary behaviour and health. Many studi=
es also grouped their variables into tertiles, or groups that also took int=
o account physical activity level. Although it was still possible to ascert=
ain information regarding the association between level of sedentary behavi=
our and health indicators, it made it very difficult to compare the informa=
tion across studies. Similarly, very few studies measured time spent being =
sedentary directly (i.e. with direct observation or accelerometry). Previou=
s work [269, 270] has shown significant differences between direct and indi=
rect measures of physical activity; similar work needs to be completed with=
 respect to sedentary behaviour to gain a better understanding of possible =
biases in previous studies. Indirect measurements of sedentary behaviour of=
ten lead to grouping for analyses. This may lead to bias in the results of =
the systematic review as many studies arbitrarily grouped their participant=
s as ''high users" if they watched more than 2 hours of television per day.=
 This could perhaps be falsely leading us to conclude that 2 hours is the c=
ritical cut-point or threshold. Further work using direct (i.e. acceleromet=
er) measures of sedentary behaviour and screen time as continuous variables=
 will help to clarify if a cut-point of 2 hours is in fact biased.

Physical inactivity and sedentary behaviour are pervasive and persistent pu=
blic health challenges to overcome. This review demonstrates that there is =
a need to advocate for increases in physical activity AND decreases in sede=
ntary behaviour. It is believed that a multi-level, multi-sectoral approach=
 is required for this to be successful [11]. Ultimately, resolving the prob=
lem of inactivity requires a sustained change in individual daily activity =
and sedentary patterns. From a public health perspective, a reduction in se=
dentary behaviour may be easier than increasing physical activity per se be=
cause there are fewer restrictions (i.e. no need to change clothing or use =
special equipment), and can be easily attained with minimal burden to a per=
son's time or financial resources.

This systematic review summarizes the current evidence examining the relati=
onship between sedentary behaviours and a series of health indicators. It w=
as determined that increased sedentary time was associated with negative he=
alth outcomes in both boys and girls; this was true across all study design=
s with the majority of studies (85.8%) reporting similar relationships. The=
 majority of current work has focused on television viewing and body compos=
ition and suggests that children and youth should watch less than 2 hours o=
f TV per day during their discretionary time. Furthermore, children and you=
th should try to minimize the time they spend engaging in other sedentary p=
ursuits throughout the day (e.g. playing video games, using the computer fo=
r non-school work or prolonged sitting). This work can be used to inform th=
e development of evidence-based sedentary behaviour recommendations for chi=
ldren and youth.

The crime data used in our analyses were based on postcode areas to elimina=
te the bias introduced by changes in suburb boundaries over the years of in=
terest in the study. The population size of the Boolaroo postcode (c. 10,00=
0) was substantially larger than the population size of the suburb (c. 1000=
). This mismatch in population size potentially limits interpretation of th=
e effects of lead in air on aggressive crime in Boolaroo in particular (i.e=
., where this mismatch in postcode versus local area populations was most p=
ronounced). Importantly, as shown above, the conclusions of the study are l=
argely unchanged even when Boolaroo is excluded from the analysis. Given th=
e consistency of the data from the other five suburbs, as well as the state=
 and national data analysed in the original study, we remain confident in t=
he robustness of the findings.
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