Eatit's Obesity Intervention: Effects on Weight, Eating Habits and Health

Study design: \- Open-label interventional study conducted within Eatit's routine patient flow, where each participant serves as their own control. Data sources: \- Data collection to address the research questions regarding treatment effects will be obtained from Eatit's database. Data to be collected: -Sex, age, weight, waist circumference, number of completed modules in the digital treatment program, number of completed dietitian visits, as well as results from the self-administered questionnaires Kostindex (Diet Index, developed by the Swedish National Board of Health and Welfare) and World Health Organization Disability Assessment Schedule 2.0, 12-item self-administered version (WHODAS 2.0 12-item). Recruitment and study participants: -Five study dietitians will recruit 93 participants through Eatit's routine patient flow. The study population will consist of all eligible individuals who schedule an appointment with a study dietitian, as the aim is to evaluate the treatment effect within Eatit's normal patient population. Informed consent process: -The request for study participation is made during Assessment Visit 1, which is conducted by video. If the potential participant expresses interest, the dietitian provides written study information. Inclusion in the study occurs during Assessment Visit 2, after the participant has received both written and verbal information. Participants will be enrolled in the study according to the inclusion criteria, provided that no exclusion criteria are met (see Eligibility). If the participant agrees to take part, informed consent will be obtained digitally. Intervention: \- Standard care with Eatit's multimodal digital lifestyle intervention program according to routine practice, delivered over six months with dietitian support via chat and video. Analysis and statistics: \- Descriptive statistics will be used to characterize the study population. Treatment effects will be evaluated using appropriate regression and correlation analyses. Subgroup and dropout analyses are planned. Both intention-to-treat (ITT) and per-protocol (PP) approaches will be applied.