Question · asked by 1 review

Behavioural weight management interventions vs brief advice or no intervention: Cessation

Behavioural weight management interventions may leads to lower smoking cessation at 12 months ‐ Personalised weight management… compared with brief advice or no intervention (low certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Behavioural weight management interventions vs brief advice or no intervention
Smoking cessation at 12 months ‐ Personalised weight management support versus no intervention · People wanting to quit smoking
Behavioural weight management interventions may leads to lower smoking cessation at 12 months ‐ Personalised weight management… compared with brief advice or no intervention (low certainty).
Interventions for preventing weight gain after smoking cessation (2021) · Cochrane Headline outcomes only
RR 0.65 [0.45, 0.92]5 studies · 3441 participantsLow
Behavioural weight management interventions vs brief advice or no intervention
Smoking cessation at 6 months ‐ Personalised weight management support versus no intervention · People wanting to quit smoking
Behavioural weight management interventions showed no clear difference in smoking cessation at 6 months ‐ Personalised weight management… compared with brief advice or no intervention (low certainty).
Interventions for preventing weight gain after smoking cessation (2021) · Cochrane Headline outcomes only
RR 0.95 [0.82, 1.1]7 studies · 5517 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Interventions for preventing weight gain after smoking cessation
2021 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.