Measuring happiness in individuals with profound multiple disabilities.

Boudreau et al. (2015) asked a simple question: can we make adults with profound multiple disabilities happier during everyday life? They worked with three adults who had very limited movement and no speech. Staff gave each person their favorite toys, music, or snacks several times a day. The team watched and scored short video clips for smiles, laughs, and bright eyes. They used a multiple-baseline design to be sure any change came from the items, not coincidence.

Happiness scores crept up every time the preferred items were present. The gains were small but steady across all three adults. No new challenging behaviors appeared. The boosts faded when the items were removed, then returned when items came back. This pattern showed the effect was real and tied to the intervention.

Green et al. (1999) did something similar 16 years earlier. They slipped preferred stimuli into exercise sessions and saw unhappiness drop. A et al. extend that idea to the whole day, not just workouts. Thomas et al. (2021) also coded happiness, but inside functional analyses for children with autism. Their data line up: when you track smiles, you get useful information no matter the setting or age group. Ivancic et al. (1996) warned that high preference in a test does not always equal a working reinforcer. A et al. sidestep that trap by giving items freely, not as rewards, so weak reinforcer effects still lift mood.

You can raise happiness in clients who cannot talk or move much. Pick a few sure-fire items from a brief preference check. Schedule them across the day during meals, hygiene, or downtime. Film 30-second clips twice a week and score smiles. If happiness rises, keep the schedule; if not, swap items. This low-cost routine may cut the need for more intrusive supports later.