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incentives

to

encourage

a desired behavior

such

as

smoking

abstinence.

Importantly,

an escalating CM design

is

required

to

be

effective,

that

is,

the

incentive

value must

increase

with

every

demonstration

of

the

desired

behavior

to

avoid

habituation.

CM

for

pregnant

women

increases

smoking

cessation

rates

significantly

compared

with

other

psychosocial

interventions

[18]

.

In

addition,

CM

interventions

have

a

positive

impact

on

fetal

growth,

birth

weight,

and

breastfeeding

duration

[19]

.

CM

effects

also

have

demon-

strated

improved

smoking

cessation

outcomes

in

the

postpartum

period:

At

12

wk

postpartum,

24%

of

the

women using CM were

still

abstinent

compared with 3% of

women without

the

intervention

[20]

.

Motivational

interviewing

is

delivered

in

person

or

by

phone

in

one

to

four

sessions

of

15–45 min

and has

shown

modest

effects

for

smoking

cessation

[21]

.

Efficacy

of

motivational

interviewing

can

be

improved when multiple

sessions

are

provided

by

primary

care

physicians

or

counselors, with

a minimum duration

of 20 min

[21]

.

Group

therapy has

shown

superior

efficiency

in

increas-

ing

the

rate

of

smoking

cessation

compared with

self-help

programs

but

not with

individual

counseling

[22]

.

3.

Implementation

of

smoking

cessation

Among

those

smokers

who

do

not

quit

on

their

own,

successful

cessation

is

dependent

on

interventions

that

consider

the whole

spectrum of

factors

influencing

smoking

behavior

and

nicotine

dependence.

Any

pharmacologic

intervention has

to be delivered within an addiction

therapy

setting because medication alone most

likely will not

lead

to

successful

long-term

cessation.

Many persons with

SUDs

are

addicted

to more

than one

substance,

and

this

complicates

recovery.

In

addition,

successful

smoking

cessation often

leads

to other

‘‘reward-

ing

behaviors,’’

most

prominently,

increased

food

con-

sumption

[23]

.

In

fact, a

significant portion of

smokers who

quit

smoking

gain

weight

or

even

develop

an

eating

disorder.

This

phenomenon merits

treatment

intervention

because

it puts

former

smokers at

increased

risk

for obesity

[24]

.

Intensive

lifestyle

interventions have shown efficacy

in

reducing obesity and other cardiovascular and diabetes

risk

factors

and

should

be

considered

from

a

sociopolitical

perspective

for

smoking

cessation

[25,26]

.

Another

important

aspect

to

consider

is

that

many

persons

with

psychiatric

disorders

smoke

more

heavily,

are more

prone

to

TUD,

and

show

lower

quit

rates

than

those without

such disorders

[5,27–29] .

Lifetime

smoking

rates of up to 83% are reported

for thosewith a

lifetime DSM

axis

I disorder

compared with 39%

for

those without

such

disorders

[29] .

Nicotine

consumption might

represent

a

form

of

self-medication

for

persons

with

psychiatric

comorbidities

[30]

.

Furthermore,

the

type

of medication

administered

influences

the

extent

of

self-medication

with

nicotine;

for

example,

atypical

antipsychotics

are

associated with

reduced

severity

of

nicotine

dependence

and

craving

for

cigarettes

compared

with

typical

anti-

psychotics

[31] .

A

comprehensive,

structured

diagnostic

process

and

treatment

for TUD

and

for

any

comorbid disorder

is

crucial

as

early

as

possible

because

poor

prognosis

is

expected

if

treatment

fails

to

address

both.

4.

How

to

troubleshoot

problems

in

the

cessation

process

TUD

and nicotine dependence

are

acknowledged

as psychi-

atric

disorders

in

the

DSM

and

the

International

Classifi-

cation

of

Diseases,

respectively,

and

thus

should

be

included

as

integral

parts

of

the

diagnostic

process

and

in

medical

reports,

including

the

number

of

cigarettes

smoked per day and

treatment

suggestions. This approach

has

the potential

to

call patients’

attention

to

the

severity

of

the disorder, especially among

those who are not willing

to

make

a

quit

attempt,

and

to

raise

awareness

among

general

practitioners.

Intrinsic

motivation

is

a

key

variable

in

the

smoking

cessation

process.

This

is

highlighted

by

smoking

cessation

during pregnancy.

Increased

intrinsic motivation

to deliver a

healthy baby

is seen as an

important window of opportunity

for quitting smoking

[32]

. Up

to 45% of smoking women quit

without assistance between

learning of

their pregnancy and

their first prenatal visit

[18] ;

however, up to 80% relapse after

the postpartum period

[33]

.

If

intrinsic motivation decreases

(eg, after delivery or after

the breastfeeding period), prompt

professional support with effective

interventions such as CM

is

crucial

to

avoid

relapse.

Smoking

cessation

typically

follows

a

cyclical

pattern:

The

average

smoker makes

at

least

four quit

attempts until

achieving successful

long-termsmoking cessation

[34] .

Con-

sequently,

support

has

to

be

offered

repeatedly

because

every

quit

attempt

increases

the

chances

of

ultimate

successful

cessation

[35]

.

5.

Conclusions

Smoking

behavior

is

a

complex

phenomenon

that

entails

innumerable

variables.

Key

factors

such

as

psychiatric

comorbidity

play

significant

roles

in

smoking

prevalence

and

in

failed

cessation

and

relapse.

Successful

treatment

interventions must be based on

a

comprehensive diagnosis

and must

consider

the whole

spectrum

of

factors

influenc-

ing

smoking

behavior

and

nicotine

dependence.

From

a

public

health

perspective,

broader

availability

and accessibility of

treatment options—especially

increased

quality

of

smoking

cessation

interventions—has

the poten-

tial

to

increase

patients’

health

and

quality

of

life

and

to

significantly

lower

the

considerable

societal

and

economic

burden

caused

by

smoking

[15,36]

.

Author

contributions:

Laura Brandt had

full

access

to

all

the data

in

the

study

and

takes

responsibility

for

the

integrity

of

the

data

and

the

accuracy

of

the

data

analysis.

Study

concept

and

design:

Fischer,

Brandt.

Acquisition

of

data:

None.

Analysis

and

interpretation

of

data:

None.

Drafting

of

the manuscript:

Brandt.

E U R O P E A N

U R O L O G Y

F O C U S

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)

4 7 – 4 9

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