Obesity in adults & bariatric surgery Flashcards
Obesity intro media & stigma
- represented in media by body only- rolls & burgers
- lack of control, lazy- stigmatized more then other EDs.
Epidemiology of obesity in adults
-Health Survey for England 2015-
-overtime obesity stabilising from around 2002, was increasing until then.
Epidemiology - Age & Gender
-H S E- 2015
- broadly same across genders
- Men more overweight than Females
- both M & F have weight jump from 35-44 to 45-54 years old -not biological factor it is social factor.
- still many M not get to over 85+ y/o
- F tend lose weight 85+- this typically occurs in the oldest ppl.
Epidemiology- Regional Variation
-H S E- 2015
- North East only region where M outweigh F in obesity- manual labour?
- urban, rural & suburban- diff types of work, food, financial pressures, food insecurity, family structures, cooking skills.
Epidemiology- Economic Variation
-H S E- 2015
- lowest income jobs for M tend be manual labour- whilst not for F.
- M across all incomes weigh roughly same.
- M in lower income tend have less to spend on compared to F- (child care- F prioritise children’s food).
- F as get lower income more overweight & obese you are.
- F give birth- tend gain weight while pregnant- lower income have reduced weight loss after.
Epidemiology- Occupational class
- F in lowest skills lvl- highest obesity v richer F.
- M less diff in obesity due to job.
Consequences of obesity
-Calle et al 1999
- looked at death rates & BMI
- once have fat cells have them forever- can gain weight easier, more predisposed to higher weight.
- M much higher risk of extremes of weight v F.
- M’s BMI pref is higher than normal (24-25) however tend focus on Muscularity - not a reality.
- Healthy ideals vary but can can be healthy at slightly low weight or slightly high.
- risks at both extremes of BMI- however this research -could be done to pre-existing illnesses?- if low BMI & get ill have less of buffer to protect- could also be linked to age- as u get old tend lose weight.
Consequences of obesity
-Carey et al 2014
- looked at % of M & F with depression by BMI category.
- underweight M at most risk- farthest from muscular ideal or common with other disorders- drug use, other psych disorders.
- normal & overweight low risk group.
- obese roughly x2 likely- could be due to psychology of society against obesity.
Consequences of obesity
-National Obesity Observatory 2011
(diagram- look at notes)
- found both moderators & mediators.
- Moderators- like volume knobs, some more pronounced. (gender, lvl of obesity…)
- Mediators- help explain relationship. Provide mechanism. (social factors, behavioural, bio, psychological)
- -bi-directional.
- exercise & eating well= decrease risk of depress.
- Bio, obesity certain lvl= inflammation response- link to depress & other psych disorders.
Epidemiology- Long standing illness & obesity.
- H S E- 2015
- Bhaskaran et al 2014
- not much diff b/w normal & overweight BMIs & illness.
- obesity see, linked more illness in F v M.
- type 2 diabetes with poor control overtime leads to blindness, amputation etc…
- Bhaskaran et al 2014- cancer risk by BMI
- -gall bladder, uterine have strong links, others have mild to no link (thyroid, cervix…).
- -organs surrounded/covered in fat may be due to BMI & is linked to cancers.
Contributing factors: The Foresight Report 2007
see notes for diagram
- prevention not cure- if find what greatest risk factors for becoming obese.
- The Foresight Report 2007-
- -huge map, sought map broad range of factors that influence obesity & their interrelations.
- -e.g. cheap ingredients- fructose, less fibre, convenience, alcohol, value on physical activity, parenting, stress.
-Simplified- (see image)- e.g. activity enviro- extremes- druggy park v village green= diff lvls of physical activity.
Contributing factors: Familial Transmission
- programmes (tv)
- H S E 2011
- strong evidence that overweight & obesity runs in families- genetic & enviro factors.
- a combo of genes & shared enviro factors & interactions b/w both account for this pattern.
- –programmes- show stereotypical images- try make look stupid, not happy fam photos- done make us judge.
Health Survey for England 2011-
- 24% boys aged 2-15 y/o living in overweight/obese households were obese v 11% in non-overweight households.
- -21% girls v 10% non-obese.
- -impact starts early.
-have be careful what we talk to kids about as it can make it worse.
Contributing factors: Birth Weight
- Yu et al 2013
- Yu et al 2011
- Qiao et al 2015
Yu et al 2013- maternal pre-preg BMI is pos associated with higher birth-weight for gestational age & also higher BMI in childhood.
–higher birthweight is ass with later obesity.
Yu et al 2011- BUT mixed indication that low birth weight is also associated with later obesity:
–mixed evidence!
Qiao et al 2015- low birth weight may predispose obesity in boys but not girls.
- does nutrition in utero set metabolic patterns for life outside the womb i.e. the “foetal origins” hypothesis?
- alterations in foetal nutrition may cause developmental adaptations that permanently change structures, physiology & metabolism, thereby predisposing individuals to overweight/obesity in adulthood.
- if not avg birth weight- it can effect metabolic rates etc…
- however you can’t test on foetuses.
Contributing factors: Maternal Smoking in Pregnancy
- systematic review
- Oken et al 2008
- Systematic review- direct exposure to prenatal tobacco via maternal smoking increases odds of obesity in children aged 2 & above.
- smoking during the entire pregnancy had greater effect than smoking during pregnancy only.
- Oken et al 2008- effects persist after rigorously controlling for confounds.
- -confounds looked at- health, education, stress..
- Smoking is a UNIQUE factor.
Contributing factors: -Genetics
- Congenital Leptin- leptin receptor deficiency.
- -leptin produced by adipocytes & secreted in proportion to body fat mass- inhibits appetite.
- —genetic mutations in leptin production OR reception result in massive overeating & obesity.
- –but is very low proportion.