Latent profile analysis of depression among older adults living alone in China

Hou, Baohua; Zhang, Huijun

doi:10.1016/j.jad.2022.12.154

Cited by 18 publications

(6 citation statements)

References 49 publications

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“…After descriptive analyses were performed for all variables, LPA with unconditional models was run using the 6 ADL item scores as observed responses to identify the deceased participants' disability patterns prior to death. Although there is usually more than one observed construct in LPA [29,30], detailed analyses of single observed constructs such as depression [31] and social participation [32] have also been conducted with LPA among older adults. Models with 1 to 5 latent classes were examined, and missing data were addressed with maximum likelihood estimation.…”

Section: Discussionmentioning

confidence: 99%

Chinese older adults’ prior-to-death disability profiles and their correlates

Chen,

2024

BMC Geriatr

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Background Disability prior to death complicates end-of-life care. The present study aimed to explore the prior-to-death disability profiles of Chinese older adults, the profiles’ links to end-of-life care arrangements and place of death, and predictors of the profiles. Methods In total, data were extracted from the records of 10,529 deceased individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent profile analyses, bivariate analysis, and multivariate logistic regression were applied to identify prior-to-death disability profiles, explore the profiles’ links to end-of-life care arrangements and place of death, and examine predictors in the profiles, respectively. Results Three prior-to-death disability profiles, namely, Disabled-Incontinent (37.6%), Disabled-Continent (34.6%), and Independent (27.8%), were identified. Those with the Independent profile were more likely to live alone or with a spouse and receive no care or care only from the spouse before death. Disabled-Continent older adults had a higher chance of dying at home. Being female, not “married and living with a spouse”, suffering from hypertension, diabetes, stroke or cerebrovascular disease (CVD), bronchitis/emphysema/pneumonia, cancer, or dementia, and dying in a later year were associated with more severe prior-to-death disability patterns. Not having public old-age insurance predicted lower chances of having a Disabled-Incontinent profile, and advanced age increased the chance of having a Disabled-Continent profile. Conclusions Three prior-to-death disability patterns were identified for Chinese adults aged 65 years and older. These profiles were significantly linked with the end-of-life caregiving arrangements and place of death among older adults. Both demographic information and health status predicted prior-to-death disability profiles.

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Section: Discussionmentioning

confidence: 99%

Chinese older adults’ prior-to-death disability profiles and their correlates

Chen,

2024

BMC Geriatr

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“…However, the choice of different thresholds in these studies also influenced the evaluation results. Latent profile analysis (LPA) was used to identify depression subgroups among 1831 older adults living alone and classified as low (30.4%), moderate (55.3%), and high-level (14.4%) ( 27 ). Park et al ( 28 ) explored the characteristics of self-esteem, life satisfaction, and depression, resulting in the identification of five subgroups, namely, extreme depression, major depression, mild depression, low life satisfaction, and positive adjustment.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of depression in junior and senior adolescents

Zhang,

Liu,

Ding

et al. 2023

Front. Psychiatry

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BackgroundDepression affects the development of adolescents and makes it difficult for them to adapt to future life. The purpose of this study was to elucidate the population characteristics of adolescent depression.MethodsThis study measured depression based on the Patient Health Questionnaire-9 items and sociodemographic questionnaire. A total of 8,235 valid questionnaires were collected from six schools in Haikou and Qionghai, Hainan Province, covering the ages of 13 to 18. The questionnaires included high schools with multiple levels, including general high schools, key high schools, and vocational high schools. Latent category analysis (LCA) was used to identify potential categories of depressive symptoms among adolescents. Latent Class Analysis (LCA) was used for determining depressive symptom latent categories and their proportional distribution among adolescents.ResultsLCA analysis divided the data into 3 categories, namely no depression, low depression, and high depression groups. The percentage of the high depression group was 10.1%, and that of the low depression group was 48.4%. The Jorden index was greatest for a PHQ-9 score of 14.5. The 1st grade of junior middle school students entered the high and low depression groups 1.72 and 1.33 times more often than seniors. The number of the 1st grade of high school students included in the high and low depression groups was 1.55 and 1.42 times of the 3rd grade of high school students group. The detection rate of the high depression group of vocational school adolescents was 13.5%, which was significantly higher than that of key high schools (9.6%) and general high schools (9.0%).ConclusionThis study found that 1st grade of junior middle school students and the 1st grade of high school students were more likely to fall into depressive conditions. Moreover, Adolescent girls require more attention than boys. Vocational school students need more psychological guidance.

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“…As of 2020, the estimated number of single-person households in China was 125 million [7]. Previous studies have reported higher risks of unhealthy weight and poor dietary habits among individuals living alone [8][9][10][11]. Besides those, the number of adults living alone has been increasing in China, partly due to the growing aging population and the preference for independent living among younger generations [12].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of body mass index categories among adults living alone in China: Observational study

Li,

Yan,

Liu

2024

PLoS ONE

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Background Adults living alone represent a growing population group in China. Understanding the prevalence of body mass index (BMI) categories and their associations with demographic and lifestyle factors among this group is essential for informing targeted interventions and public health policies. Methods In this population-based cross-sectional study, we used individual-level data from the 2011–2021 China General Social Survey. Main outcomes were prevalence of BMI categories adjusted for gender and age, using logistic regression and model-predicted marginal prevalence to estimate BMI categories prevalence. Results We analyzed 9,077 single-living Chinese adult participants. The primary-adjusted prevalence of BMI categories varied across different genders and age groups. Underweight was more prevalent in females (12.73%; 95% CI: 12.31% - 13.14%) than in males (7.54%; 95% CI: 7.19% - 7.88%), while overweight and obesity were higher in males. Primary-adjusted underweight prevalence was highest among the 18–24 years age group (22.09%; 95% CI: 20.17% - 24.01%) and decreased with age. Primary-adjusted overweight prevalence increased with age, peaking in the 45–54 years age group (41.94%; 95% CI: 40.96% - 42.93%). Primary-adjusted obesity prevalence exhibited a fluctuating pattern across age groups, with the highest prevalence observed in the 45–54 years age group (9.81%; 95% CI: 9.19% - 10.44%). Conclusion Our findings reveal significant associations between BMI categories and demographic and lifestyle factors among adults living alone in China. These results can inform targeted interventions and public health policies aimed at promoting healthy weight management and addressing the unique health challenges faced by single-living individuals in China.

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Latent profile analysis of depression among older adults living alone in China

Cited by 18 publications

References 49 publications

Chinese older adults’ prior-to-death disability profiles and their correlates

Chinese older adults’ prior-to-death disability profiles and their correlates

Prevalence of depression in junior and senior adolescents

Prevalence of body mass index categories among adults living alone in China: Observational study

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