The Impact of Digital Health on Smoking Cessation.

BACKGROUND: Smartphones have become useful tools for medicine, with the use of specific apps making it possible to bring health care closer to inaccessible areas, continuously monitor a patient's pathology at any time and place, promote healthy habits, and ultimately improve patients' quality of life and the efficiency of the health care system. Since 2020, the use of smartphones has reached unprecedented levels. There are more than 350,000 health apps, according to a 2021 IQVIA Institute report, that address, among other things, the management of patient appointments; communication among different services or professionals; the promotion of lifestyle changes related to adopting healthy habits; and the monitoring of different pathologies and chronic conditions, including smoking cessation. The number of mobile apps for quitting smoking is high. As early as 2017, a total of 177 unique smoking cessation-relevant apps were identified in the iPhone App Store, 139 were identified in Google Play, 70 were identified in the BlackBerry app store, and 55 were identified in the Windows Phone Store, but very few have adequate scientific support. It seems clear that efforts are needed to assess the quality of these apps, as well as their effectiveness in different population groups, to have tools that offer added value to standard practices. OBJECTIVE: This viewpoint aims to highlight the benefits of mobile health (mHealth) and its potential as an adjuvant tool in health care. METHODS: A review of literature and other data sources was performed in order to show the current status of mobile apps that can offer support for smoking cessation. For this purpose, the PubMed, Embase, and Cochrane databases were explored between May and November 2022. RESULTS: In terms of smoking cessation, mHealth has become a powerful coadjuvant tool that allows health workers to perform exhaustive follow-ups for the process of quitting tobacco and provide support anytime and anywhere. mHealth tools are effective for different groups of smokers (eg, pregnant women, patients with chronic obstructive pulmonary disease, patients with mental illness, and the general population) and are cost-effective, generating savings for the health system. However, there are some patient characteristics that can predict the success of using mobile apps in the smoking cessation process, such as the lower age of patients, dependence on tobacco, the number of quit attempts, and the previous use of mobile apps, among others. Therefore, it is preferable to offer these tools to patients with a higher probability of quitting tobacco. CONCLUSIONS: mHealth is a promising tool for helping smokers in the smoking cessation process. There is a need for well-designed clinical studies and economic evaluations to jointly assess the effectiveness of new interventions in different population groups, as well as their impact on health care resources.

Treatment outcomes of obstructive sleep apnoea in obese community-dwelling children: the NANOS study.

The first line of treatment of obstructive sleep apnoea syndrome (OSAS) in children consists of adenotonsillectomy (T&A). The aim of the present study was to evaluate treatment outcomes of OSAS among obese children recruited from the community.A cross-sectional, prospective, multicentre study of Spanish obese children aged 3-14 years, with four groups available for follow-up: group 1: non-OSAS with no treatment; group 2: dietary treatment; group 3: surgical treatment; and group 4: continuous positive airway pressure treatment.117 obese children (60 boys, 57 girls) with a mean age of 11.3±2.9 years completed the initial (T0) and follow-up (T1) assessments. Their mean body mass index (BMI) at T1 was 27.6±4.7 kg·m(-2), corresponding to a BMI Z-score of 1.34±0.59. Mean respiratory disturbance index (RDI) at follow-up was 3.3±3.9 events·h(-1). Among group 1 children, 21.2% had an RDI ≥3 events·h(-1) at T1, the latter being present in 50% of group 2, and 43.5% in group 3. In the binary logistic regression model, age emerged as a significant risk factor for residual OSAS (odds ratio 1.49, 95% confidence interval 1.01-2.23; p<0.05) in obese children surgically treated, and RDI at T0 as well as an increase in BMI emerged as significant risk factors for persistent OSAS in obese children with dietary treatment (OR 1.82, 95% CI 1.09-3.02 (p<0.03) and OR 8.71, 95% CI 1.24-61.17 (p=0.03)).Age, RDI at diagnosis and obesity are risk factors for relatively unfavourable OSAS treatment outcomes at follow-up.

Inflammatory markers and obstructive sleep apnea in obese children: the NANOS study.

INTRODUCTION: Obesity and obstructive sleep apnea syndrome (OSA) are common coexisting conditions associated with a chronic low-grade inflammatory state underlying some of the cognitive, metabolic, and cardiovascular morbidities. AIM: To examine the levels of inflammatory markers in obese community-dwelling children with OSA, as compared to no-OSA, and their association with clinical and polysomnographic (PSG) variables. Methods. In this cross-sectional, prospective multicenter study, healthy obese Spanish children (ages 4-15 years) were randomly selected and underwent nocturnal PSG followed by a morning fasting blood draw. Plasma samples were assayed for multiple inflammatory markers. RESULTS: 204 children were enrolled in the study; 75 had OSA, defined by an obstructive respiratory disturbance index (RDI) of 3 events/hour total sleep time (TST). BMI, gender, and age were similar in OSA and no-OSA children. Monocyte chemoattractant protein-1 (MCP-1) and plasminogen activator inhibitor-1 (PAI-1) levels were significantly higher in OSA children, with interleukin-6 concentrations being higher in moderate-severe OSA (i.e., AHI > 5/hrTST; P < 0.01), while MCP-1 levels were associated with more prolonged nocturnal hypercapnia (P < 0.001). CONCLUSION: IL-6, MCP-1, and PAI-1 are altered in the context of OSA among community-based obese children further reinforcing the proinflammatory effects of sleep disorders such as OSA. This trial is registered with ClinicalTrials.gov NCT01322763.

Obstructive sleep apnea in obese community-dwelling children: the NANOS study.

INTRODUCTION: Obesity in children is assumed to serve as a major risk factor in pediatric obstructive sleep apnea syndrome (OSAS). However, the prevalence of OSAS in otherwise healthy obese children from the community is unknown. AIM: To determine the prevalence of OSAS in obese children identified and recruited from primary care centers. METHODS: A cross-sectional, prospective, multicenter study. Spanish children ages 3-14 y with a body mass index (BMI) greater than or equal to the 95th percentile for age and sex were randomly selected, and underwent medical history, snoring, and Pediatric Sleep Questionnaire (PSQ) assessments, as well as physical examination, nasopharyngoscopy, and nocturnal polysomnography (NPSG) recordings. RESULTS: Two hundred forty-eight children (54.4% males) with mean age of 10.8 ± 2.6 y were studied with a BMI of 28.0 ± 4.7 kg/m(2) corresponding to 96.8 ± 0.6 percentile when adjusted for age and sex. The mean respiratory disturbance index (RDI), obstructive RDI (ORDI), and obstructive apnea-hypopnea index (OAHI) were 5.58 ± 9.90, 5.06 ± 9.57, and 3.39 ± 8.78/h total sleep time (TST), respectively. Using ≥ 3/h TST as the cutoff for the presence of OSAS, the prevalence of OSAS ranged from 21.5% to 39.5% depending on whether OAHI, ORDI, or RDI were used. CONCLUSIONS: The prevalence of obstructive sleep apnea syndrome (OSAS) in obese children from the general population is high. Obese children should be screened for the presence of OSAS. ClinicalTrials.gov identifier: NCT01322763.

Respiratory polygraphy for follow-up of obstructive sleep apnea in children.

OBJECTIVES: (1) To evaluate the effectiveness of adenotonsillectomy for the treatment of Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) in children. (2) To evaluate the usefulness of respiratory polygraphy (RP) for controlling post-adenotonsillectomy effects. METHODS: The children studied were referred to the Burgos Sleep Unit (SU) with clinical suspicion of OSAHS before undergoing adenotonsillectomy. For all patients, a clinical history was taken and a general physical examination, as well as a specific ear, nose, and throat examination was done. RP before adenotonsillectomy, and seven months afterwards, was also done. OSAHS was diagnosed if the Apnea Hypopnea Index (AHI) was ≥ 4.6. RESULTS: Of the 100 children studied, 68 were male and 32 female, with an age of 4.17 ± 2.05 years. Using RP, 86 of them were diagnosed with OSAHS before undergoing adenotonsillectomy. There was a significant improvement in all clinical and polygraphic variables after adenotonsillectomy. The pre and post surgery AHI index was 11.9 ± 11.0 and 2.6 ± 1.5, respectively, with a significant mean difference (9.4 ± 10.9, p<0.01). The residual OSAHS was 11.6% (CI 95%: 4.3-19%). CONCLUSIONS: Respiratory polygraphy is a useful tool for monitoring the effectiveness of surgical treatment and the detection of residual OSAHS in children with adenotonsillar hypertrophy.