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Some forms of movement, such as rocking, are common means of sensory self-regulation yet are discouraged in classroom contexts. We analyze the ableist underpinnings of this approach, and ask instead: could sensory-attractive activities such as rocking instead be solicited to serve content learning? Our design-based research project, Balance Board Math, fosters sensory-cognitive opportunities for the regulatory movement of rocking to serve as an intrinsic interaction resource for exploring mathematical graphical representations, with a focus on properties of sinusoidal functions such as frequency and amplitude. We analyze the role of balance/vestibular activation in pilot participants' exploration of graphing before, during, and after Balance Board Math activities.

We report a subset of results from an exploratory study that modeled mathematics learning using a dynamical systems lens. This study applied Recurrence Quantification Analysis to model participants’ interactions with a touchscreen-based embodied-design learning environment for proportionality, conducting both qualitative (case study) and quantitative (linear regression) analyses. Findings indicate an abrupt change in the RQA meanline metric associated with increased fluency, suggesting a phase transition into a new mode of interaction. These findings suggest theoretical and methodological traction for modeling embodied math learning as phase transitions in a human–technology dynamical system.

Background: Digital health holds promise for enhancing care coordination and supporting patient self-management. However, various barriers, including at the healthcare professional level, hinder its adoption. This cross-sectional study explored the eHealth profile of primary care physicians and its relationship with care coordination., Methods: As part of "The Commonwealth Fund's 2022 International Health Policy Survey of Primary Care Physicians in 10 Countries", 1114 physicians in Switzerland completed a questionnaire on their sociodemographic and workplace characteristics, digital health use and care coordination practices. Based on their responses concerning the modality, frequency and application of digital health tools, we created a digital health score. Based on responses describing the collaboration with specialists and paramedical health professionals, we created a care coordination score. The associations between both scores were assessed using stratified analyses and multiple linear regression., Results: Among the 1114 participants (46% women, mean age 52 years), 83% used electronic patient records, 96% used teleconsultations for less than 5% of consultations, and 63% never used connected health tools to monitor patients with chronic diseases. Further, 16% allowed online appointments, 20% online medical prescriptions, 52% the possibility of electronically communicating lists of medications with other healthcare professionals, and 89% the possibility of email or web communications with the patient. The eHealth score was positively associated with the number of weekly working hours, being an internal medicine specialist or practising physician, the number of full-time equivalents in the practice and being in a group practice setting. The higher the eHealth profile score, the higher the care coordination score., Conclusion: Digital health and care coordination were positively associated. This could underscore the potential benefits of digital health in enhancing collaborative and interprofessional care practices.

Introduction: ChatGPT is an artificial intelligence based large language model with the ability to generate human-like response to text input, its performance has already been the subject of several studies in different fields. The aim of this study was to evaluate the performance of ChatGPT in the management of maxillofacial clinical cases., Materials and Methods: A total of 38 clinical cases consulting at the Stomatology-Maxillofacial Surgery Department were prospectively recruited and presented to ChatGPT, which was interrogated for diagnosis, differential diagnosis, management and treatment. The performance of trainees and ChatGPT was compared by three blinded board-certified maxillofacial surgeons using the AIPI score., Results: The average total AIPI score assigned to the practitioners was 18.71 and 16.39 to ChatGPT, significantly lower (p < 0.001). According to the experts, ChatGPT was significantly less effective for diagnosis and treatment (p < 0.001). Following two of the three experts, ChatGPT was significantly less effective in considering patient data (p = 0.001) and suggesting additional examinations (p < 0.0001). The primary diagnosis proposed by ChatGPT was judged by the experts as not plausible and /or incomplete in 2.63 % to 18 % of the cases, the additional examinations were associated with inadequate examinations in 2.63 %, to 21.05 % of the cases and proposed an association of pertinent, but incomplete therapeutic findings in 18.42 % to 47.37 % of the cases, while the therapeutic findings were considered pertinent, necessary and inadequate in 18.42 % of cases., Conclusions: ChatGPT appears less efficient in diagnosis, the selection of the most adequate additional examination and the proposition of pertinent and necessary therapeutic approaches., Competing Interests: Declaration of competing interest The authors have no conflicts of interest., (Copyright © 2024 Elsevier Masson SAS. All rights reserved.)

Objectives: To assess the association between socioeconomic status (SES) and self-reported adherence to preventive measures in Switzerland during the COVID-19 pandemic., Methods: 4,299 participants from a digital cohort were followed between September 2020 and November 2021. Baseline equivalised disposable income and education were used as SES proxies. Adherence was assessed over time. We investigated the association between SES and adherence using multivariable mixed logistic regression, stratifying by age (below/above 65 years) and two periods (before/after June 2021, to account for changes in vaccine coverage and epidemiological situation)., Results: Adherence was high across all SES strata before June 2021. After, participants with higher equivalised disposable income were less likely to adhere to preventive measures compared to participants in the first (low) quartile [second (Adj.OR, 95% CI) (0.56, 0.37-0.85), third (0.38, 0.23-0.64), fourth (0.60, 0.36-0.98)]. We observed similar results for education., Conclusion: No differences by SES were found during the period with high SARS-CoV-2 incidence rates and stringent measures. Following the broad availability of vaccines, lower incidence, and eased measures, differences by SES started to emerge. Our study highlights the need for contextual interpretation when assessing SES impact on adherence to preventive measures., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 Tancredi, van der Linden, Chiolero, Cullati, Imboden, Probst-Hensch, Keidel, Witzig, Dratva, Michel, Harju, Frank, Lorthe, Baysson, Stringhini, Kahlert, Bardoczi, Haller, Chocano-Bedoya, Rodondi, Amati, Albanese, Corna, Crivelli, Kaufmann, Frei and von Wyl.)

Surveillance bias occurs when variations in cancer incidence are the result of changes in screening or diagnostic practices rather than increases in the true occurrence of cancer. This bias is linked to the issue of overdiagnosis and can be apprehended by looking at epidemiological signatures of cancer. We explain the concept of epidemiological signatures using the examples of melanoma and of lung and prostate cancer. Accounting for surveillance bias is particularly important for assessing the true burden of cancer and for accurately communicating cancer information to the population and decision-makers., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Aims: The COVID-19 pandemic has had a large impact on the financial situation of higher education students, disproportionately affecting students with a low socioeconomic status (SES). This raises the question of whether economic stressors related to COVID-19 have aggravated existing socioeconomic inequalities in mental health. This study examined the relationship between economic stressors and students' depressive symptoms, and the role of students' SES and countries' socioeconomic conditions., Methods: Data from the COVID-19 International Student Well-being Study was used for multilevel analyses, with depressive symptoms as dependent variable. Three indicators measured SES: educational level of the parents, ability to borrow money from their social network, and struggling with financial resources prior to COVID-19., Results: Students with a low SES had more depressive symptoms, and those not able to borrow money and with parents without higher education were more exposed to a deterioration in their financial situation. Both economic stressors (reduction in working hours and a deterioration of their financial situation) were positively related to depressive symptoms. In addition, the positive relationship between a decrease in working hours and depressive symptoms was stronger in countries with a higher unemployment rate., Conclusions: We observed socioeconomic inequalities in students' mental health, which, in part, can be ascribed to a larger exposure to the economic stressors related to COVID-19 among students' with a low SES. The macroeconomic context also played a role, as the impact of a reduction in working hours on depressive symptoms was stronger in countries with poor economic conditions., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Introduction: Fragility fractures in older people are common and are often associated with nursing home admission in frail people. Only few institutionalized residents with documented osteoporosis receive pharmacologic osteoporosis treatment. Studies demonstrating the benefit of osteoporosis drug therapy in this multimorbid and vulnerable population are lacking., Competing Interests: Es bestehen keine Interessenkonflikte., (© 2024 Aerzteverlag medinfo AG.)

Surveillance and research data, despite their massive production, often fail to inform evidence-based and rigorous data-driven health decision-making. In the age of infodemic, as revealed by the COVID-19 pandemic, providing useful information for decision-making requires more than getting more data. Data of dubious quality and reliability waste resources and create data-genic public health damages. We call therefore for a slow data public health, which means focusing, first, on the identification of specific information needs and, second, on the dissemination of information in a way that informs decision-making, rather than devoting massive resources to data collection and analysis. A slow data public health prioritizes better data, ideally population-based, over more data and aims to be timely rather than deceptively fast. Applied by independent institutions with expertise in epidemiology and surveillance methods, it allows a thoughtful and timely public health response, based on high-quality data fostering trustworthiness., (© 2023. The Author(s).)

Purpose: We aimed to assess the seroprevalence trends of SARS-CoV-2 antibodies in several Swiss cantons between May 2020 and September 2021 and investigate risk factors for seropositivity and their changes over time., Methods: We conducted repeated population-based serological studies in different Swiss regions using a common methodology. We defined three study periods: May-October 2020 (period 1, prior to vaccination), November 2020-mid-May 2021 (period 2, first months of the vaccination campaign), and mid-May-September 2021 (period 3, a large share of the population vaccinated). We measured anti-spike IgG. Participants provided information on sociodemographic and socioeconomic characteristics, health status, and adherence to preventive measures. We estimated seroprevalence with a Bayesian logistic regression model and the association between risk factors and seropositivity with Poisson models., Results: We included 13,291 participants aged 20 and older from 11 Swiss cantons. Seroprevalence was 3.7% (95% CI 2.1-4.9) in period 1, 16.2% (95% CI 14.4-17.5) in period 2, and 72.0% (95% CI 70.3-73.8) in period 3, with regional variations. In period 1, younger age (20-64) was the only factor associated with higher seropositivity. In period 3, being aged ≥ 65 years, with a high income, retired, overweight or obese or with other comorbidities, was associated with higher seropositivity. These associations disappeared after adjusting for vaccination status. Seropositivity was lower in participants with lower adherence to preventive measures, due to a lower vaccination uptake., Conclusions: Seroprevalence sharply increased over time, also thanks to vaccination, with some regional variations. After the vaccination campaign, no differences between subgroups were observed., (© 2023. The Author(s).)

Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes. Results: We observed a dichotomy of individuals who did not use the SwissCovid app and did not get vaccinated, and who used the SwissCovid app and got vaccinated during the study period. Increased vaccine uptake was observed with SwissCovid app use (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62-1.99 [CSM]) compared to SwissCovid app non-use. Decreased SwissCovid uninstallation risk was observed for participants who got vaccinated (aHR, 0.55; 95% CI: 0.38-0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27-0.78 [CSM]) compared to participants who did not get vaccinated. Conclusion: In evolving epidemic contexts, these findings underscore the need for communication strategies as well as flexible digital proximity tracing app adjustments that accommodate different preventive measures and their anticipated interactions., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Daniore, Moser, Höglinger, Probst Hensch, Imboden, Vermes, Keidel, Bochud, Ortega Herrero, Baggio, Chocano-Bedoya, Rodondi, Tancredi, Wagner, Cullati, Stringhini, Gonseth Nusslé, Veys-Takeuchi, Zuppinger, Harju, Michel, Frank, Kahlert, Albanese, Crivelli, Levati, Amati, Kaufmann, Geigges, Ballouz, Frei, Fehr and von Wyl.)

Background: Digital health technology can be useful to improve the health of patients with diabetes and to support patient-centered care and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and its association with sociodemographic characteristics., Methods: We used data from the "Qualité Diabète Valais" cohort study, conducted in one region of Switzerland (Canton Valais) since 2019. Participants with type 1 or type 2 diabetes completed questionnaires on sociodemographic characteristics and on the use of digital health technology. We defined eHealth profiles based on three features, i.e., ownership or use of (1) internet-connected devices (smartphone, tablet, or computer), (2) mHealth applications, and (3) connected health tools (activity sensor, smart weight scale, or connected blood glucose meter). We assessed the association between sociodemographic characteristics and participants' eHealth profiles using stratified analyses and logistic regression models., Results: Some 398 participants (38% women) with a mean age of 65 years (min: 25, max: 92) were included. The vast majority (94%) were Swiss citizens or bi-national and 68% were economically inactive; 14% had a primary level education, 51% a secondary level, and 32% a tertiary level. Some 75% of participants had type 2 diabetes. Some 90% of the participants owned internet-connected devices, 43% used mHealth applications, and 44% owned a connected health tool. Older age and a lower educational level were associated with lower odds of all features of the eHealth profile. To a lesser extent, having type 2 diabetes or not being a Swiss citizen were also associated with a lower use of digital health technology. There was no association with sex., Conclusion: While most participants owned internet-connected devices, only about half of them used mHealth applications or owned connected health tools. Older participants and those with a lower educational level were less likely to use digital health technology. eHealth implementation strategies need to consider these sociodemographic patterns among patients with diabetes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Jendly, Santschi, Tancredi, Konzelmann, Raboud and Chiolero.)

Objectives: To describe the frequency of and reasons for changes in healthcare utilization in those requiring ongoing treatment, and to assess characteristics associated with change, during the second wave of the pandemic. Methods: Corona Immunitas e-cohort study (age ≥20 years) participants completed monthly questionnaires. We compared participants reporting a change in healthcare utilization with those who did not using descriptive and bivariate statistics. We explored characteristics associated with the number of changes using negative binomial regression. Results: The study included 3,190 participants from nine research sites. One-fifth reported requiring regular treatment. Among these, 14% reported a change in healthcare utilization, defined as events in which participants reported that they changed their ongoing treatment, irrespective of the reason. Reasons for change were medication changes and side-effects, specifically for hypertension, or pulmonary embolism treatment. Females were more likely to report changes [Incidence Rate Ratio (IRR) = 2.15, p = 0.002]. Those with hypertension were least likely to report changes [IRR = 0.35, p = 0.019]. Conclusion: Few of those requiring regular treatment reported changes in healthcare utilization. Continuity of care for females and chronic diseases besides hypertension must be emphasized., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Harju, Speierer, Jungo, Levati, Baggio, Tancredi, Noor, Rodondi, Cullati, Imboden, Keidel, Witzig, Frank, Kohler, Kahlert, Crivelli, Amati, Albanese, Kaufmann, Frei, von Wyl, Puhan, Probst-Hensch, Michel, Rodondi and Chocano-Bedoya.)

Objectives: We compared socio-demographic characteristics, health-related variables, vaccination-related beliefs and attitudes, vaccination acceptance, and personality traits of individuals who vaccinated against COVID-19 and who did not vaccinate by December 2021. Methods: This cross-sectional study used data of 10,642 adult participants from the Corona Immunitas eCohort, an age-stratified random sample of the population of several cantons in Switzerland. We used multivariable logistic regression models to explore associations of vaccination status with socio-demographic, health, and behavioral factors. Results: Non-vaccinated individuals represented 12.4% of the sample. Compared to vaccinated individuals, non-vaccinated individuals were more likely to be younger, healthier, employed, have lower income, not worried about their health, have previously tested positive for SARS-CoV-2 infection, express lower vaccination acceptance, and/or report higher conscientiousness. Among non-vaccinated individuals, 19.9% and 21.3% had low confidence in the safety and effectiveness of SARS-CoV-2 vaccine, respectively. However, 29.1% and 26.7% of individuals with concerns about vaccine effectiveness and side effects at baseline, respectively vaccinated during the study period. Conclusion: In addition to known socio-demographic and health-related factors, non-vaccination was associated with concerns regarding vaccine safety and effectiveness., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Sabatini, Kaufmann, Fadda, Tancredi, Noor, Van Der Linden, Cullati, Frank, Michel, Harju, Luedi, Frei, Ballouz, Menges, Fehr, Kohler, Kahlert, Scheu, Ortega, Chocano-Bedoya, Rodondi, Stringhini, Baysson, Lorthe, Zufferey, Suggs, Albanese, Vincentini, Bochud, D’Acremont, Nusslé, Imboden, Keidel, Witzig, Probst-Hensch and von Wyl.)

Surveillance bias arises when differences in the frequency of a condition are due to changes in the modality of detection rather than to a difference in the actual risk of the condition. This bias hampers the surveillance of scrutiny-dependent cancers, leading to misinterpretations of cancer trends, risk factor identification, and, consequently, to the wrong public health actions.

Background: During the 2020/2021 winter, the labour market was under the impact of the COVID-19 pandemic. Changes in socioeconomic resources during this period could have influenced individual mental health. This association may have been mitigated or exacerbated by subjective risk perceptions, such as perceived risk of getting infected with SARS-CoV-2 or perception of the national economic situation. Therefore, we aimed to determine if changes in financial resources and employment situation during and after the second COVID-19 wave were prospectively associated with depression, anxiety and stress, and whether perceptions of the national economic situation and of the risk of getting infected modified this association., Methods: One thousand seven hundred fifty nine participants from a nation-wide population-based eCohort in Switzerland were followed between November 2020 and September 2021. Financial resources and employment status were assessed twice (Nov2020-Mar2021, May-Jul 2021). Mental health was assessed after the second measurement of financial resources and employment status, using the Depression, Anxiety and Stress Scale (DASS-21). We modelled DASS-21 scores with linear regression, adjusting for demographics, health status, social relationships and changes in workload, and tested interactions with subjective risk perceptions., Results: We observed scores above thresholds for normal levels for 16% (95%CI = 15-18) of participants for depression, 8% (95%CI = 7-10) for anxiety, and 10% (95%CI = 9-12) for stress. Compared to continuously comfortable or sufficient financial resources, continuously precarious or insufficient resources were associated with worse scores for all outcomes. Increased financial resources were associated with higher anxiety. In the working-age group, shifting from full to part-time employment was associated with higher stress and anxiety. Perceiving the Swiss economic situation as worrisome was associated with higher anxiety in participants who lost financial resources or had continuously precarious or insufficient resources., Conclusion: This study confirms the association of economic stressors and mental health during the COVID-19 pandemic and highlights the exacerbating role of subjective risk perception on this association., (© 2023. The Author(s).)

Background: Emerging evidence suggests a possible association between artificial light at night (LAN) exposure and physiological and behavioral changes, with implications on mood and mental health. Due to the increased amount of individuals' LAN exposure, concerns have been raised regarding harmful impact of light pollution on mental health at the population level., Aim: To perform a systematic review of observational studies to investigate if light at night, assessed both indoor and outdoor, may be associated with an increased risk of mental diseases in humans., Methods: We reviewed the epidemiological evidence on the association between LAN exposure, assessed either via satellite photometry or via measurements of bedroom brightness, and mental disorders. We systematically searched the PubMed, Embase and Web of Science databases up to April 1, 2022. Studies were included if they assessed the link between indoor or outdoor artificial light at night and one or more mental disorders in human populations., Results: Nine eligible studies were included in this review: six studies had a cross-sectional design, two had a longitudinal design with a median follow-up of 24 months, and one was a case-cohort study. Overall, we found moderate evidence of a positive association between LAN exposure and depressive symptoms and to a lesser extent other mental disorders, though the number of studies was limited and potential residual confounding such as socioeconomic factors, noise, or air pollution may have influenced the results., Conclusions: Although more robust evidence is needed, the epidemiological evidence produced so far seems to support an association between LAN and risk of depressive disorders., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Evidence-based practice and quality improvement should be at the heart of healthcare and public health. However, their implementation remains insufficient which is reflected in Switzerland in the high frequency of low-value care, in the wide regional variation in care practices, and in the absence of quality monitoring for the majority of healthcare processes. It is necessary to strengthen the monitoring of quality, particularly that perceived by patients, to help strengthening high-value and patient centered care. Because data do not speak for themselves, it is critical to organize how to use indicators for decision., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Objectives: To assess the association between students' financial loss and depressive symptoms during the first wave of the coronavirus disease 2019 (COVID-19) pandemic and whether this association varied by countries having different levels of lockdown measures. Methods: This cross-sectional survey, conducted in spring 2020, included 91,871 students from 23 countries. Depressive symptoms were measured using the shortened Center for Epidemiological Studies Depression Scale and information on lockdowns retrieved from the COVID-19 government response tracker. The association between financial loss and depressive symptoms was investigated estimating prevalence ratios (PR) with multilevel Poisson models. Results: Some 13% of students suffered financial loss during the lockdown and 52% had a relatively high depression score, with large between-countries differences. Minimally and maximally adjusted models showed a 35% (PR = 1.35, 95% Confidence Interval (CI) = 1.29-1.42) and 31% (PR = 1.31, 95% CI = 1.26-1.37) higher prevalence of depressive symptoms in students who lost economic resources compared to students with stable economic resources. No substantial differences in the association were found across countries. Conclusion: Depressive symptoms were more frequent among students who suffered financial loss during the pandemic. Policy makers should consider this issue in the implementation of COVID-19 mitigating measures., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Tancredi, Burton-Jeangros, Ruegg, Righi, Kagstrom, Quesnel Vallee, Chiolero, Bracke, Buffel, Van De Velde and Cullati.)

Public health surveillance is the ongoing collection and analysis of health-related data, followed by the timely dissemination of information useful for decisions. Surveillance bias occurs when differences in the frequency of a condition are due to variations in the modalities of detection rather than to changes in the actual risk of the condition. As a result, the true burden of diseases cannot be properly assessed. This is of growing concern because surveillance activity is more and more often based on data not designed primarily for surveillance, notably data from healthcare providers. Many diseases (such as COVID-19, prostate cancer, or hypertension) are prone to surveillance bias. It also hinders quality of care monitoring., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Background: We aimed to determine whether living in a household with children is associated with SARS-CoV-2 seropositivity in adults and investigated interacting factors that may influence this association., Methods: SARS-CoV-2 serology testing was performed in randomly selected individuals from the general population between end of October 2020 and February 2021 in 11 cantons in Switzerland. Data on sociodemographic and household characteristics, employment status, and health-related history was collected using questionnaires. Multivariable logistic regression was used to examine the association of living with children <18 years of age (number, age group) and SARS-CoV-2 seropositivity. Further, we assessed the influence of reported non-household contacts, employment status, and gender., Results: Of 2393 working age participants (18-64 years), 413 (17.2%) were seropositive. Our results suggest that living with children and SARS-CoV-2 seropositivity are likely to be associated (unadjusted odds ratio (OR) 1.22, 95% confidence interval [0.98-1.52], adjusted OR 1.25 [0.99-1.58]). A pattern of a positive association was also found for subgroups of children aged 0-11 years (OR 1.21 [0.90-1.60]) and 12-17 years (OR 1.14 [0.78-1.64]). Odds of seropositivity were higher with more children (OR 1.14 per additional child [1.02-1.27]). Men had higher risk of SARS-CoV-2 infection when living with children than women (interaction: OR 1.74 [1.10-2.76])., Conclusions: In adults from the general population living with children seems associated with SARS-CoV-2 seropositivity. However, child-related infection risk is not the same for every subgroup and depends on factors like gender. Further factors determining child-related infection risk need to be identified and causal links investigated., Trial Registration: https://www.isrctn.com/ISRCTN18181860 ., (© 2022. The Author(s).)

(1) Background: Ankyloglossia, or tongue-tie is a condition, in which the tip of tongue cannot protrude beyond the lower incisor teeth because of short frenulum linguae, often containing scar tissue. Limitations of movement are the most important clinical symptoms of this condition, together with feeding, speech, and mechanical problems. (2) Methods: the present study included two groups of patients (group A and group B) including, respectively, 29 and 32 patients (61 patients total), aged from 8 to 12 and presenting ankyloglossia classified according to the Kotlow's classification. The patients in group A underwent a common surgical procedure. For the patients of group B, a diode laser device (K2 mobile laser, Dentium, Korea) with a micro-pulsed wavelength of 980 ± 10 nm and power of 1.2 watts was used. The post-surgical discomfort of the patients (recording the pain perceived immediately after the end of the anesthesia and during the following week, using the Numeric Rating Scale (NRS) system) and healing characteristics (recorded using the Early Wound Healing Score or EHS) were evaluated. (3) Results: The results shows that the pain in the patients who underwent laser-assisted frenectomy is significantly reduced ( p < 0.001) when compared to those who underwent conventional surgical frenectomy, both immediately after surgery (with a reduction in the average NRS of 80.6%) and after the first week (with a reduction in the average NRS of 86.58%). Additionally, in the same patients, an augmentation in the average value of the EHS of 45% was recorded, highlighting significantly ( p < 0.001) better quality in the healing of the wound within the 24 h after surgery. Moreover, other advantages observed in the use of laser assisted-frenectomy are the absence of bleeding and, consequently, a clear operative field; no need to use sutures; no need to take painkillers or antibiotics after surgery; and having a faster recovery and less time needed to perform the operation. (4) Conclusions: within the limits of the present study, it seems possible to assert that the laser frenectomy performed using the v-shape technique presents a series of advantages if compared to the conventional surgical method.