Latent class analyses

潜在的类分析
  • 文章类型: Journal Article
    综述研究越来越强调育儿在预防儿童超重干预措施中的作用。这项研究的目的是研究有关父母如何始终如一地应用与能量平衡相关的行为规则的类型学,以及这些类型和社会人口特征之间的联系,学龄儿童的能量平衡相关行为,和超重的患病率。
    对于这项横断面研究,我们可以访问由荷兰市政卫生服务部门管理的数据库。总的来说,4,865名4-12岁儿童的父母参加了这项调查,并完成了标准化问卷。父母将其应用规则的一致性归类为“严格”,\"放纵\",或“没有规则”。使用潜在的类分析来识别类型。我们使用回归分析来检查类型在协变量社会人口统计学特征方面的差异,儿童的能量平衡相关行为,和体重状态。
    我们确定了四个稳定的,关于应用饮食和久坐行为规则的不同父母类型。总的来说,我们发现,采用“全面严格的EBRB规则”的父母的教育水平最高,与其他三个班级的父母的孩子相比,他们的孩子的行为更健康。此外,我们发现,采用“放纵饮食规则和没有久坐规则”的父母受教育程度最低,非高加索人的比例最高;此外,与“没有饮食规则”的父母的孩子相比,他们8-12岁的孩子超重的可能性最高。
    父母在饮食和久坐行为方面应用规则的一致性与父母的教育水平和种族背景有关,以及儿童的饮食和久坐行为以及他们超重的可能性。我们的结果可能有助于帮助医疗保健专业人员意识到,不适用久坐行为规则的父母的孩子更有可能变得超重,以及鼓励父母应用严格的饮食和久坐行为规则的重要性。这些结果可以作为制定预防儿童超重的有效策略的起点。
    Review studies increasingly emphasize the importance of the role of parenting in interventions for preventing overweight in children. The aim of this study was to examine typologies regarding how consistently parents apply energy-balance related behavior rules, and the association between these typologies and socio-demographic characteristics, energy balance-related behaviors among school age children, and the prevalence of being overweight.
    For this cross-sectional study, we had access to a database managed by a Municipal Health Service Department in the Netherlands. In total, 4,865 parents with children 4-12 years of age participated in this survey and completed a standardized questionnaire. Parents classified their consistency of applying rules as \"strict\", \"indulgent\", or \"no rules\". Typologies were identified using latent class analyses. We used regression analyses to examine how the typologies differed with respect to the covariates socio-demographic characteristics, children\'s energy balance-related behaviors, and weight status.
    We identified four stable, distinct parental typologies with respect to applying dietary and sedentary behavior rules. Overall, we found that parents who apply \"overall strict EBRB rules\" had the highest level of education and that their children practiced healthier behaviors compared to the children of parents in the other three classes. In addition, we found that parents who apply \"indulgent dietary rules and no sedentary rules\" had the lowest level of education and the highest percentage of non-Caucasians; in addition, their children 8-12 years of age had the highest likelihood of being overweight compared to children of parents with \"no dietary rules\".
    Parents\' consistency in applying rules regarding dietary and sedentary behaviors was associated with parents\' level of education and ethnic background, as well as with children\'s dietary and sedentary behaviors and their likelihood of becoming overweight. Our results may contribute to helping make healthcare professionals aware that children of parents who do not apply sedentary behavior rules are more likely to become overweight, as well as the importance of encouraging parents to apply strict dietary and sedentary behavior rules. These results can serve as a starting point for developing effective strategies to prevent overweight among children.
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  • 文章类型: Journal Article
    简介:已经观察到白人和黑人在结直肠癌(CRC)结局和生存率方面的长期差异。使用潜在类别分析(LCA)的以人为中心的方法是一种评估和解决CRC健康差异的新颖方法。LCA可以克服来自亚组分析的统计挑战,这些挑战通常会阻碍回归等以变量为中心的分析。目的是确定恶性CRC生存结局的风险概况和差异。方法:我们对监测进行了LCA,流行病学,和1975年至2016年≥18岁成年人的最终结果数据(N=525,245)。使用的社会人口统计学是年龄,性别/性别,婚姻状况,种族,和种族(西班牙裔/拉丁裔)和诊断阶段。要选择最佳拟合模型,我们采用了一种比较方法,比较了样本量调整后的BIC和熵;这表明类别的分离很好。结果:熵为0.72的四类解决方案被确定为:最低存活率,中低,中高,和最高的存活率。平均存活率为53个月的最低生存率(占样本的26%)在诊断时具有最高的条件概率为76-85岁,女性,寡妇,和非西班牙裔白人,局部分期的可能性很高。平均生存率为92个月的最高生存率(占样本的53%)结婚的可能性最高,男性局部分期,而且很有可能成为非西班牙裔白人.结论:使用以人群为基础的癌症登记数据以人为中心的措施可以帮助更好地检测可能被忽视的癌症风险亚组。
    Introduction: Long-standing disparities in colorectal cancer (CRC) outcomes and survival between Whites and Blacks have been observed. A person-centered approach using latent class analysis (LCA) is a novel methodology to assess and address CRC health disparities. LCA can overcome statistical challenges from subgroup analyses that would normally impede variable-centered analyses like regression. Aim was to identify risk profiles and differences in malignant CRC survivorship outcomes. Methods: We conducted an LCA on the Surveillance, Epidemiology, and End Results data from 1975 to 2016 for adults ≥18 (N = 525,245). Sociodemographics used were age, sex/gender, marital status, race, and ethnicity (Hispanic/Latinos) and stage at diagnosis. To select the best fitting model, we employed a comparative approach comparing sample-size adjusted BIC and entropy; which indicates a good separation of classes. Results: A four-class solution with an entropy of 0.72 was identified as: lowest survivorship, medium-low, medium-high, and highest survivorship. The lowest survivorship class (26% of sample) with a mean survival rate of 53 months had the highest conditional probabilities of being 76-85 years-old at diagnosis, female, widowed, and non-Hispanic White, with a high likelihood with localized staging. The highest survivorship class (53% of sample) with a mean survival rate of 92 months had the highest likelihood of being married, male with localized staging, and a high likelihood of being non-Hispanic White. Conclusion: The use of a person-centered measure with population-based cancer registries data can help better detect cancer risk subgroups that may otherwise be overlooked.
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  • 文章类型: Journal Article
    To identify fatigue trajectories during/after stroke rehabilitation, to determine characteristics associated with trajectory membership before discharge and to investigate how these trajectories and activity pacing are associated with sustained physical activity after rehabilitation.
    People after stroke (n = 206) were followed from 3-6 weeks before discharge (T0) to 14 (T1), 33 (T2) and 52 (T3) weeks after discharge from rehabilitation in the ReSpAct study. Latent Class analysis was used to identify trajectories of perceived fatigue. Binomial multivariable logistic regression analyses were performed to determine characteristics associated with trajectory membership (T0). Multilevel regression analyses were used to investigate how perceived fatigue and activity pacing were associated with self-reported physical activity (T0-T3).
    Three fatigue trajectories were identified: high (n = 163), low (n = 41) and recovery (n = 2). Compared with the high fatigue trajectory, people in the low fatigue trajectory were more likely to report higher levels of health-related quality of life (HR-QoL) (OR = 3.07, 95%CI = 1.51-6.26) and physical activity (OR = 1.93, 95%CI = 1.07-3.47). Sustained high levels of physical activity after rehabilitation were significantly associated with low perceived fatigue and high perceived risk of overactivity.
    Three fatigue trajectories after stroke rehabilitation were identified. High levels of HR-QoL and physical activity before discharge identified people in the low fatigue trajectory. A physically active lifestyle after rehabilitation was associated with low perceived fatigue and perceived risk of overactivity.IMPLICATIONS FOR REHABILITATIONSince almost 80% of people after stroke in this study perceived severe fatigue up to 1 year after stroke rehabilitation, activities focusing on the management of fatigue symptoms should be integrated in general stroke rehabilitation.In clinical practice, low levels of health-related quality of life and low levels of self-reported physical activity before discharge from stroke rehabilitation should be considered by rehabilitation professionals (e.g., physicians, physiotherapists, and physical activity counsellors) since these characteristics can predict chronic perceived fatigue up to 1 year after stroke rehabilitation.A physical activity counselling programme delivered during and after stroke rehabilitation may be improved by incorporating tailored advice regarding the management of fatigue.
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  • 文章类型: Journal Article
    Self-rated health (SRH) is a marker of future health and a possible predictor of future multimorbidity, which is a major challenge for population health and health care. There is a lack of studies on adolescent SRH and patterns of health problems across the transitional period from adolescence to early adulthood. Therefore, this study aimed to identify groups of people with similar health problems in early adulthood and explore the predictive value of adolescent SRH on the group classification after a period of 10-19 years. Data from 8828 adolescents participating in the Young HUNT-1 survey (1995-1997) were linked to the Norwegian registry of general practitioner (GP) claims, which includes diagnoses recorded in GP consultations in 2006-2014. We used latent class analysis (LCA) to identify groups of patients with similar health problems in early adulthood and explored SRH as a predictor of class membership using latent class regression, adjusting for baseline chronic disease, frequency of health care attendance, sex and age. The mean age at baseline was 16 years, and 50% of the participants were female. SRH was reported as very good by 28%, good by 61% and not good by 11%. We identified five groups of patient classification (classes): Healthy (35%), Infections and general problems (26%), Musculoskeletal problems (21%), Psychological problems (6%) and Multi-illness (13%). We found a gradual increase in the probability of belonging to the Healthy class with better SRH, and an inverse pattern for the Psychological and Multi-illness classes. This pattern remained after adjusting for baseline variables. In conclusion, there is a clear association between adolescent SRH and the risk of having multi-illness in early adulthood, seen as a proxy for later multimorbidity. This finding warrants greater attention to SRH in adolescence as a possible indicator in targeted prevention of future health problems.
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  • 文章类型: Journal Article
    This study aimed to evaluate the implementation of a physical activity counseling program in rehabilitation and to study heterogeneity in received counseling and investigate its association with changes in patients\' physical activity outcomes.
    This prospective cohort study was conducted in 18 rehabilitation institutions. Data were collected using surveys completed by professionals (n= ±70) and patients (n = 1719). Implementation was evaluated using different process outcomes: reach, dosage, satisfaction, maintenance. Patients\' physical activity outcomes included changes in total minutes/week of physical activity. Latent class analyses were conducted to identify profiles of received counseling characteristics and multilevel models were used to investigate associations with physical activity outcomes.
    5873 Patients were provided with motivational interviewing-based counseling after rehabilitation. Professionals and patients were positive about the program. Sixteen institutions (89%) formally agreed to continue the program. The four identified profiles of counseling characteristics illustrate a large variation in received counseling among patients. No substantial differences in physical activity outcomes were found between profiles.
    After a three-year program period, the physical activity counseling centers were sustainably implemented in Dutch rehabilitation care. This study illustrated an innovative approach to assess heterogeneity in implementation outcomes (e.g., counseling profiles) in relation to program outcomes (e.g., physical activity).Implications for rehabilitationPhysical activity counseling after rehabilitation is important to support people with disabilities in making the step from rehabilitation-based physical activities to community-based physical activities.Establishing \"Physical Activity Counseling Centers\" is a promising \"disability-overarching\" strategy to promote physical activity after rehabilitation.Although the actual received counseling (dosage) varied among patients, this did not coincide with large differences in physical activity outcomes.The training in Motivational Interviewing, the financial incentives, and the advisory support were considered as important or essential ingredients for a successful implementation of the counseling program in rehabilitation practice.
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  • 文章类型: Journal Article
    Studies have shown that antidepressants are no better than placebo in treating depression in dementia. The authors examined antidepressant efficacy in subgroups of depression in dementia with different depressive symptom profiles.
    This study focuses on exploratory secondary analyses on the randomized, parallel-group, double-blind, placebo-controlled Health Technology Assessment Study of the Use of Antidepressants for Depression in Dementia (HTA-SADD) trial. The setting included old-age psychiatry services in nine centers in England. The participants included 326 patients meeting National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer\'s Disease and Related Disorders Association probable/possible Alzheimer disease criteria, and Cornell Scale for Depression in Dementia (CSDD) scores of 8 or more. Intervention was placebo (n = 111), sertraline (n = 107), or mirtazapine (n = 108). Latent class analyses (LCA) on baseline CSDD items clustered participants into symptom-based subgroups. Mixed-model analysis evaluated CSDD improvement at 13 and 39 weeks by randomization in each subgroup.
    LCA yielded 4 subgroups: severe (n = 34), psychological (n = 86), affective (n = 129), and somatic (n = 77). Mirtazapine, but not sertraline, outperformed placebo in the psychological subgroup at week 13 (adjusted estimate: -2.77 [standard error (SE) 1.16; 95% confidence interval: -5.09 to -0.46]), which remained, but lost statistical significance at week 39 (adjusted estimate: -2.97 [SE 1.59; 95% confidence interval: -6.15 to 0.20]). Neither sertraline nor mirtazapine outperformed placebo in the other subgroups.
    Because of the exploratory nature of the analyses and the small sample sizes for subgroup analysis there is the need for caution in interpreting these data. Replication of the potential effects of mirtazapine in the subgroup of those with depression in dementia with \"psychological\" symptoms would be valuable. These data should not change clinical practice, but future trials should consider stratifying types of depression in dementia in secondary analyses.
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