Bad Habits Flashcards

1
Q
  1. Friese et al. (2016), implicit alcohol attitudes and drinking behaviour moderated by lPFC
A
  • AIM: alcohol is guided by impulsive processes (dual-process model). High baseline lPFC activation is associated with self-control. Explored how baseline lPFC moderates relationship between implicit alcohol attitudes and drinking.
  • METHOD: n=89 who were moderate drinkers: 1) baseline lPFC activity measured with EEG; 2) single category IAT, questionnaire on drinking habits, and AUDIT.
  • RESULTS: a positive association between IAT score and drinking (but more strongly for low-baseline lPFC activity).
  • CONCLUSION: dual-process model: impulsivity = drinking.
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2
Q
  1. Gibson et al. (2020), interventions to reduce adolescents sexual risk behaviour
A
  • AIM: tested effectiveness of motivational interviewing vs. behavioural skill training (IV) in reducing sexual risk behaviours.
  • METHODS: n=262 16 y.o. (mean) from juvie justice programs. IV = group, 3 DV = measured thrice (pre/post/3 months): theoretical mechanisms (sexual attitudes, self-efficacy etc.), sexual behaviour (freq. unprotected sex), and condom use.
  • RESULTS: regarding condom use, both groups increase positive attitudes, self-efficacy, and behaviour, neither group increased perceived norm.
  • CONCLUSION: interventions have alike mechanisms = use transdiagnostic mechanisms in future treatment interventions.
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3
Q
  1. Halpern et al. (2015), 4 financial-incentives for smoking cessation
A
  • AIM: test effectiveness of monetary incentives in smoking cessation.
  • METHOD: n=2538 smokers. 2x2 design: group (of 6) vs. individual interventions x 800$ reward if successful vs. 150$ refundable deposit + 650$ reward if successful, but lose deposit if unsuccessful (reward vs. reward + punishment).
  • RESULTS: acceptance rate of intervention: reward-based = 90%; deposit-based = 13.7%. All incentives conditions were significantly more successful than normal care at 6 & 12 months, no sig. diff. between any 2x2 groups.
  • CONCLUSION: people are most willing to join reward-based programs, ergo more successful.
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4
Q
  1. Schyns et al. (2020), exposure therapy vs. lifestyle intervention for obesity
A
  • AIM: test effectiveness of exposure therapy (8 sessions) vs lifestyle intervention (usual treatment) on decreasing food cue reactivity in obese people.
  • METHOD: n=45 overweight women. IV = treatment; 4 DV = snacking, eating psychopathology, food cue reactivity, and weight loss. ET focused on CS-US expectancy change.
  • RESULTS: ET group significantly reduced body weight (2%), snacking, and binge eating freq. vs. control.
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5
Q
  1. Verplanken & Roy (2016), Habit Discontinuity Hypothesis and sustainable lifestyles
A
  • AIM: test practical effectiveness of HDH (people are more susceptible to interventions during life changes).
  • METHOD: n=800, 2x2 design: sustainability intervention vs. control x recently relocated household vs. no relocation. Intervention = personal interview, sustainable goodie bag, green directory, and newsletter. Measured self-reported frequencies of 25 environmental behaviours at baseline and 8 weeks.
  • RESULTS: interaction effect between intervention and relocation. Effectiveness of life change dwells after 3 months - in support of HDH.
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6
Q
  1. Guerrieri et al. (2016), interaction impulsivity and varied food environment
A
  • AIM: test if obesogenic environment + impulsivity = overeating.
  • METHOD: n=78 8-10 y.o.
    2x2x2 design (IV): low vs. high reward sensitivity x low vs. high response inhibition x monotonous vs. varied food environment. Main DV = caloric intake during taste test. Also tested impulsivity & BMI.
  • RESULTS: reward sensitivity interacted with environment (high sensitivity + obesogenic environment = more caloric intake). Not reward sensitivity, but response inhibition linked to overweight.
  • CONCLUSION: reward sensitivity could cause overeating in an obesogenic environment, and low response inhibition may maintain overeating.
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7
Q

3 executive function abilities

A
  1. updating
  2. inhibition
  3. task-switching
    • goal shifting (bad)
    • means shifting (good)
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8
Q

Executive function and eating behaviours

A

EF contributes to self-regulation of eating behaviour by moderating the relationship between intention and behaviour. Interventions should target all EF abilities rather than just one

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9
Q

Dual-system model of healthy behaviour (aka reflective-impulsive model)

A
  • reflective processes
  • impulsive processes
  • self-control (inhibiting impulses & transforming reflective processes into actions).

*note; activated schemata can be consistent (impulse and reflection align) or inconsistent (they compete).

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10
Q

3 behavioural change techniques

A
  1. changing contents of impulsive system by changing: automatic associations, attentional biases, and approach tendencies (joystick task)
  2. improving self-control by practicing executive functioning (go/no-go task)
  3. changing contents of reflective system: increase self-efficacy and motvation etc.
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11
Q

Situational & dispositional moderators of the dual-system

A

Situational: M&M study - depletion of self-regulatory resources (+high dietary restraint standards) positively associated with M&M consumption = ego-depletion & counterregulation effect.

Dispositional: trait self-control and working memory capacity

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12
Q

Theory of planned behaviour

A

Behaviour is based on intention, which in turn is influenced by attitudes, percieved norms, and self-efficacy.

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13
Q

Bridging the gap between reflective and impulsive system

A

The impulsive system is always active whereas the reflective system can be inactive. Whenever the reflective system is activated, it works parallel to the impulsive system - they are not diametrically opposed.

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14
Q

Bidirectionality of behaviour and cognition

A

Cognition can activate new behavioural schemata, and action too can activate new cognitive pathways.

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15
Q

Mode model

A

Similair to RIM, has spontaneous and deliberate processing mode. Argues that for the activation of the deliberate processes, one needs both motivation and oppertunity.

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16
Q

Theory of planned behaviour pros and cons

A

Pros: is widely used/recognized, is meant to predict intentions based on attitudes, self-efficacy, and norms, is meant to enable not motivate, and can be used in behaviour change programs.

Cons: often fails to predict behaviour, assumes behaviour is based on intentions rather than impulses, lack of consistent support for its effectiveness in behaviour change programns.

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17
Q

Reasoned action approach

A

Basis of TPB but includes external variables (e.g. environment, personality traits, and demographic) as influencing components of TPB. It also adds actual control as a mediator between self-efficacy and behaviour.

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18
Q

Sub-components of TPB

A

Attitudes:
- affective and cognitive
Percieved norms:
- descriptive (other’s behaviour) and injunctive (other’s approval of behaviour)
- subjective and objective (e.g. laws)
PBC:
- perceived control and self-efficacy

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19
Q

Additional behavioural predictors

A

Anticipated affective reactions, moral norms, self-identity, and past behaviours.

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20
Q

Intergrated behavioural model

A

Adds 4 components to the reasoned action approach that directly influence behaviour:
- Salience of behaviour
- Habits
- Environmental constraints
- Knowledge/skill of behaviour
*SHrEK

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21
Q

Moderators of intention behaviour relation

A

Conceptual factors:
- volition, intention, and expectation.

Reasoned action vs. social reaction (e.g. smoking)

Time interval (between intention and behaviour)

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22
Q

3 Intervention characteristics

A
  • theoretical basis
  • behaviour change method
  • mode of delivery (format and source)
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23
Q

Effectiveness of interventions on behaviour change

A

Meta-analyses found that a medium to large change in intention resulted in a small to medium change in behaviour - significant, but not as effective as was previously thought.

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24
Q

Demand and commodities

A

Demand can be elastic (change) or inelastic (fixed) often based on product need and price = demand curve.

Commodities can be substitutional, complimmentary, or independent (e.g. price of butter goes up, people buy margirine)

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25
Q

Discounting

A

There are 3 primary discounting variables: delay/temporal, probability, and social.

*Addicts may engage in excessive probability discounting (undervaluing uncertain future rewards).

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26
Q

Hyperbolic discount model “present bias”

A

Models choice dynamics of e.g. valuing long-term goal higher than instant gratification, but when presented with conflicting immediate reward one engages with it.

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27
Q

Causes of reinforcer pathology

A

Person-level factors: increased delay discounting and high demand

Dynamic factors: associate conditioning and acute withdrawel

Environmental factors: few or no alternative reinforcers (diminished neural activation for other rewards)

28
Q

Law of demand

A

Consumption is inversly related to price and response requirement

29
Q

Contingency manegement

A

Change and monitor user’s environment by:
- detecting relapse
- reinforcing abstinence
- rewards/punishments

Effective when rewards are delivered probibalistically or when there is access to paid employment

30
Q

Community reinforcement approach

A

Based on operant conditioning, aims to use the environment/community in a way that’s mutually incompatible with substance use (e.g. recreational activities or employment)

31
Q

Behavioural couple’s therapy

A

Involves the partner/close friend of the addict, who enforces accountability through e.g. sobriety contracts

32
Q

Brief motivational interventions

A

Aims to create awareness around the costs and consequences of substance use

33
Q

Executive function training and addiction

A

Addicts often have decreased EF and struggle to delay gratification. Through e.g. fading procedures addicts can learn to delay gratification for bigger rewards

34
Q

Local vs. global approach

A

Example chinese vs. italian food.
- Local approach: almost alway pick preferred food.
- Global approach: pick preferred food less to increase the gratification of it.

35
Q

Traditional vs. behavioural economics

A

Traditional: assumes people act rationally

Behavioural: recognizes that people often do not act rationally in the sense of maximizing outcome

36
Q

Prospect theory

A

People don’t make decisions based on outcome, but based on a cost/benefit evaluation where costs often weigh more than benefits - risk aversion

37
Q

Endowment effect

A

When people come into possession of something they usually overestimate its value e.g. selling an item at a price people aren’t willing to pay

38
Q

Financial incentives and addiction

A

Financial incentives are effective in the short-term, but long-term abstinence requires some intrinsic motivation too e.g. relapsing once all monetary gains are acquired

39
Q

Default status quo bias

A

Maintaining the status quo is oftentimes the path of least resistance

40
Q

Application for behavioural economics in healthcare

A
  1. Probabilistic financial incentives in weight loss interventions
  2. Ensuring medication adherence via the path of least resistance: 90 vs. 30 day prescriptions and opt-out instead of opt-in systems.
41
Q

Classical conditioning

A

Before conditioning: US (food), neutral stimulus (sound), UR (salilvation)

After conditioning: CS (sound) and CR (conditioned response)

42
Q

Operant conditioing

A

Behaviour is either positively/negatively reinforced or positively/negatively punished - depending on the outcome the behaviour is repeated or eliminated

43
Q

5 relapse conditions

A
  • rapid reacquisition: context effect
  • reinstatement: US presence provokes relapse
  • renewal: when extinction happened outside usual context
  • spontaneous recovery (time-elapsed relapse)
  • resurgence: when replacement behaviour is extinct
44
Q

Cue-exposure therapy

A

CS-noUS exposure has proven effective in some circumstances.

45
Q

Extinction therapy

A

Unlearning the CR in the presence of the CS e.g. not eating the bag of chips when watching television

46
Q

Obesogenic environment

A

Is based on hedonic eating habits, and interacts with attentional bias, high food cue reactivity, and personality/genetic components to promote unhealthy eating habits

47
Q

Strengthening inhibition learning

A
  • Over-expectation e.g. expecting to eat all chips then only eating one - leading to extinction
  • Space trials over longer time-period
  • Counterconditioning and punishment
  • Include different contextual cues to avoid renewal
48
Q

Variety effect

A

Consuming more food because varied options slow habituation

49
Q

Renewal effect - ABA; ABC; AAB

A

Each letter is a different context. The rat study found that AAB was more effective than ABA (though low levels of renewal occured)

50
Q

Goal-direct actions vs. habits

A

Goal-directed action mediates the response-outcome relationship, whereas habits mediate the stimulus-response association.
Goal-directed action can become a habit if automated and repeated over time

51
Q

Associative cybernetic (AC) model

A

Dual-system of planned action (r-o) and habits (s-r). States that these systems compete but also work together to create s-r-o associations

52
Q

Model-free vs. model-based decision making

A

Model-free = selects action that was previously rewarded

Model-based = decides on action based on internal model of assumptions about action-reward outcomes

53
Q

Components of habits

A
  1. Automatic
  2. Cue-dependent (conditioned association)
  3. Behavioural repitition
54
Q

Habits & information processing

A

Strong habits = less responsive to relevant info about alternative behaviours (transportation study)

55
Q

Habits and situational cues

A

Study 1: freq. stadium goers talked louder than others when viewing a picture of a stadium

Study 2: eating stale popcorn in the cinema despite not enjoying them

56
Q

Goal circuit model

A

Identifies 3 ways in which goals and habits interact:
habit formation, habit performance, and inferences about causes of behaviour (infer goals based on present behaviours)

57
Q

Triangular relapse pattern

A

People tend return to bad habits after a while due to lack of willpower. The triangular pattern was overcome through habit intervention that focused on:
- response repetition
- stable cues
- uncertainty rewards (not constant)

58
Q

3 habit breaking techniques

A
  • Cue disruption
  • Environmental engineering
  • Monitoring/inhibiting
59
Q

Plasticity genes

A

Associations with specific polymorphisms of dopamine and serotonin and weight gain. Some genes make you more susceptable to the (obesogenic) environment

60
Q

Environmental layers of differential susceptibility to obesity

A
  • intrauterine environment
  • mother-child interaction
  • family eating behaviours
  • food environment
  • individual traits
  • socioeconomic status
  • gender
61
Q

Homeostatic vs. hedonic hunger

A

Homeostatic = hunger after fasting period
Hedonic = hunger based around pleasure and reward

62
Q

Reward deficiency syndrome

A

Linked to D2 receptors.
Hyposensitivity = more eating as a result of needing more stimuli to feel rewarded
Hypersensitivity = more eating because it is very rewarding

63
Q

Behavioural susceptibility theory

A

States the risk of obesity operates through 2 appetitive processes: eating onset (responsive to food cues) and eating offset (responsive to satiety signals)

64
Q

Differential susceptability theory

A

Argues that individuals differ in susceptibility to their environment. It includes both positive (vantage sensitivity) and negative (diathesis-stress) influences.
Individuals can have a plastic or fixed strategy - where a plastic strategy + obesogenic environment = weight gain.

65
Q

Adaptive calibration model

A

Patterns in developmental context shapes individual stress responsivity: adverse = vulnerable; supportive = vantage; and neutral = general

66
Q

Neurosensitivity hypothesis

A

Sensitivity to the central nervous system is determined by sensitivity genes and environment