scholarly journals MULTIDIMENSIONALLY HETEROGENEOUS HEALTH LATENT CLASSES AND HEALTHCARE UTILIZATION FOR OLDER CHINESE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S690-S690
Author(s):  
Linglong Ye ◽  
Jiecheng Luo ◽  
Ben-Chang Shia ◽  
Ya Fang
Keyword(s):  
Healthcare Utilization ◽  
Healthy Aging ◽  
Latent Class ◽  
Demographic Factors ◽  
P Value ◽  
Latent Classes ◽  
Older Chinese ◽  
Socio Demographic Factors ◽  
The Impact ◽  
High Comorbidity

Abstract Objectives: Based on a multidimensional perspective, this study aimed to assess the heterogeneous health latent classes of older Chinese, and further examined the effects of health latent classes and associated factors on healthcare utilization. Methods: Data came from the Chinese Longitudinal Healthy Longevity Survey in 2014. Latent class analysis was adopted to identify heterogeneous health latent classes by health indicators of physical, psychological, and social dimensions. Two-part models were used to evaluate the impact of health latent classes and socio-demographic factors on outpatient and inpatient utilization. Results: Among 2,981 participants aged 65 and over without missing health indictors, four health latent classes were identified and labeled as “Lacking Socialization” (10.4%), “High Comorbidity” (16.7%), “Frail Group” (7.7%), and “Relatively Healthy” (65.1%). Among 1,974 participants with complete information, compared with the Relatively Healthy group, those in the Lacking Socialization group costed more inpatient expenditure (p-value =0.02). Those in the High Comorbidity and Frail groups tended to use healthcare services and costed more outpatient expenditure (all p-value <0.01). After controlling for health latent classes, the effects of age, gender, marital status, education, residence area, occupation, and health insurance on healthcare utilization were significant. Conclusions: Four heterogeneous health latent classes were identified by multidimensional health, and had significant effects on healthcare utilization. After controlling for health latent classes, different effects of socio-demographic factors on healthcare utilization were found. It enhances our understanding of heterogeneous health and complex healthcare demands in older Chinese, and is valuable for improving healthcare resource allocation targeted for healthy aging.

scholarly journals Multidimensional Health Groups and Healthcare Utilization Among Elderly Chinese: Based on the 2014 CLHLS Dataset

2019 ◽  
Vol 16 (20) ◽  
pp. 3884 ◽  
Author(s):  
Linglong Ye ◽  
Jiecheng Luo ◽  
Ben-Chang Shia ◽  
Ya Fang
Keyword(s):  
Healthcare Utilization ◽  
Chinese Population ◽  
Demographic Factors ◽  
The Elderly ◽  
Severe Disability ◽  
Ageing Population ◽  
Elderly Chinese ◽  
Socio Demographic Factors ◽  
Multidimensional Health ◽  
High Comorbidity

Based on multidimensional health, we aimed to identify health groups among the elderly Chinese population, and examine its relationship with socio-demographic factors on healthcare utilization. Chinese Longitudinal Healthy Longevity Survey in 2014 was adopted. For 2981 participants aged ≥65 years, without missing any health indicators, latent class analysis was adopted to identify health groups. For 1974 participants with complete information, the two-part model was used to assess how health groups and socio-demographic characteristics influence the outpatient and inpatient expenditure. Four health groups were identified and labeled as “Lacking Socialization” (10.4%), “High Comorbidity” (16.7%), “Severe Disability” (7.8%), and “Relative Health” (65.1%). Compared with the relative health group, the lacking socialization group cost higher inpatient expenditure (p = 0.02). Those in the high comorbidity and severe disability groups were more likely to use healthcare services and cost higher outpatient expenditure (p < 0.01 for all). The effects of socio-demographic factors were also discussed. The findings enhanced our understanding of the heterogeneity of multidimensional health status and complex healthcare demands in the elderly Chinese population. Moreover, it is valuable for improving the allocation of healthcare resource targeted for different groups of the ageing population.

scholarly journals Determinants of late detection and advanced-stage diagnosis of breast cancer in Nigeria

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0256847
Author(s):  
Olayide Agodirin ◽  
Samuel Olatoke ◽  
Ganiyu Rahman ◽  
Oladapo Kolawole ◽  
Saliu Oguntola ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Goodness Of Fit ◽  
Demographic Factors ◽  
Sign Test ◽  
P Value ◽  
Advanced Stage ◽  
Socio Demographic Factors ◽  
The Impact ◽  
Late Detection

Late detection of Breast cancer(BC) and progressing with advanced-stage diagnosis after early detection contribute differently to the challenges of managing BC in Africa. Understanding the difference may improve cancer education programs and their effectiveness. Objective To describe the risk factors for late detection and advanced-stage diagnosis among patients who detected their BC early. Method Using secondary data, we analyzed the impact of socio-demographic factors, premorbid experience, BC knowledge, and health-seeking pattern on the risk of late detection and advanced-stage diagnosis after early BC detection. Test of statistical significance in SPSS and EasyR was set at 5% using Sign-test, chi-square tests (of independence and goodness of fit), odds ratio, or risk ratio as appropriate. Result Most socio-demographic factors did not affect detection size or risk of disease progression in the 405 records analyzed. High BC knowledge, p-value = 0.001, and practicing breast self-examination (BSE) increased early detection, p-value = 0.04, with a higher probability (OR 1.6 (95% CI 1.1–2.5) of detecting <2cm lesions. Visiting alternative care (RR 1.5(95% CI 1.2–1.9), low BC knowledge (RR 1.3(95% CI 1.1–1.9), and registering concerns for hospital care increased the risk of advanced-stage diagnosis after early detection (64% (95% CI 55–72)). Adhering to the monthly BSE schedule reduced the risk of advanced-stage diagnosis by -25% (95% CI -49, -1.1) in the presence of socioeconomic barriers. Conclusion Strategies to increase BC knowledge and BSE may help BC downstaging, especially among women with common barriers to early diagnosis.

scholarly journals The impact of socio-demographic factors on the survival of cancer patients in Zimbabwe

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Idika E. Okorie ◽  
Ricardo Moyo ◽  
Saralees Nadarajah
Keyword(s):  
Risk Factors ◽  
Survival Analysis ◽  
Marital Status ◽  
Cancer Patients ◽  
Hazard Rate ◽  
Significant Risk ◽  
Demographic Factors ◽  
Female Cancer Patients ◽  
Socio Demographic Factors ◽  
The Impact

AbstractWe provide a survival analysis of cancer patients in Zimbabwe. Our results show that young cancer patients have lower but not significant hazard rate compared to old cancer patients. Male cancer patients have lower but not significant hazard rate compared to female cancer patients. Race and marital status are significant risk factors for cancer patients in Zimbabwe.

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taru Saigal ◽  
Arun Kr. Vaish ◽  
N.V. Muralidhar Rao
Keyword(s):  
Public Transportation ◽  
Demographic Factors ◽  
Sampling Technique ◽  
Policy Makers ◽  
Content Type ◽  
Mode Of Transport ◽  
Socio Demographic Factors ◽  
The Impact ◽  
First Time ◽  
The City

PurposeUsing survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.Design/methodology/approachStratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.FindingsMajority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.Research limitations/implicationsThe study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.Originality/valueTo the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.

scholarly journals Socio-demographic and psychosocial predictors of rheumatoid arthritis health outcome

2004 ◽  
Vol 10 (4) ◽  
pp. 10
Author(s):  
Pamela Naidoo ◽  
Graham C Lindegger ◽  
Girish M Mody
Keyword(s):  
Rheumatoid Arthritis ◽  
Health Outcome ◽  
Health Status ◽  
Functional Status ◽  
Psychological Factors ◽  
Demographic Factors ◽  
Self Report ◽  
Tender Joint ◽  
Socio Demographic Factors ◽  
The Impact

Objectives. To investigate the psychosocial aspects of rheumatoid arthritis (RA) and to determine the predictors of RA health outcome in a low socio-economic group of clinic-based adult RA patients.Design. This was a cross-sectional study. Clinic-based adult RA patients were subjected to a series of self- administered questionnaires to assess their experience of the disease. Coping, social support, causal attribution, cognitive illness representation, pain and functional status were assessed. Joint status, which indicated the degree of severity of joint inflammation for each RA patient, was assessed by a rheumatologist.Subjects. The sample consisted of 186 RA patients with a mean age of 49.51 years and a mean duration of RA of 10.80 years.Outcome measures. Health status measures defined by pain and functional status, and joint status.Results. Psychological factors, especially coping, were more significant predictors of self-report of pain and functional status than socio-demographic factors. Both socio-demographic factors and psychological factors (especially coping) were found to be significant predictors of swollen and tender joint status.Conclusion and recommendations. As a psychological factor, coping emerged as a consistent predictor of both self-report of pain and functional status, and swollen and tender joint status. It is recommended that to enhance the quality of life of RA patients and improve their health status, the impact of psychosocial factors such as the way in which patients cope with their disease status, must be considered. Further, it is recommended that health professionals collaborate not only in attempting to refine the theoretical conceptualisation of RA, but also in devising holistic and multidisciplinary care for individuals afflicted with the disease.

scholarly journals Patterns of long-term conditions in older age and subsequent mortality: a national study of inequalities in health

2019 ◽  
Vol 30 (3) ◽  
pp. 572-578
Author(s):  
T Paul de Cock ◽  
Michael Rosato ◽  
Finola Ferry ◽  
Emma Curran ◽  
Gerard Leavey
Keyword(s):  
Demographic Factors ◽  
The Elderly ◽  
Health Conditions ◽  
National Study ◽  
Latent Classes ◽  
Ageing Population ◽  
Long Term Conditions ◽  
Specific Mortality ◽  
Socio Demographic Factors

Abstract Background Multiple long-term health conditions in older people are associated with increased mortality. The study aims to identify patterns of long-term health in a national ageing population using a census-based self-reported indicator of long-term health conditions. We assessed associations with subsequent mortality and socio-economic and demographic risk factors. Methods Using linked administrative data from the Northern Ireland Mortality Study, we assessed the presence of latent classes of morbidity in self-reported data on 11 long-term health conditions in a population aged 65 or more (N = 244 349). These classes were associated with demographic and socio-economic predictors using multi-nomial logistic regression. In a 3.75-year follow-up, all-cause and cause-specific mortality were regressed on morbidity patterns. Results Four latent classes of long-term ill-health conditions were derived, and labelled: ‘low impairment’; ‘pain/mobility’; ‘cognitive/mental’; ‘sensory impairment’. Groupings reflecting higher levels of long-term ill-health were associated with class-specific increases in all-cause and cause-specific mortality. Strongest effects were found for the ‘cognitive/mental’ group, which predicted all-cause mortality [hazard ratio (HR) = 2.96: 95% confidence interval (CI) = 2.83, 3.10) as well as some cause-specific mortality (i.e. dementia-related death: HR = 10.78: 95% CI = 9.39, 12.15). Class membership was predicted by a range of socio-demographic factors. Lower socio-economic status was associated with poorer health. Conclusion Results indicate that long-term ill-health clusters in specific patterns, which are both predicted by socio-demographic factors and are themselves predictive of mortality in the elderly. The syndromic nature of long-term ill-health and functioning in ageing populations has implications for healthcare planning and public health policy in older populations.

scholarly journals Socio-demographic influences on trends of fish consumption during later adult life in the Whitehall II study

2008 ◽  
Vol 100 (5) ◽  
pp. 1116-1127 ◽  
Author(s):  
Tasnime N. Akbaraly ◽  
Eric J. Brunner
Keyword(s):  
Fish Consumption ◽  
Demographic Factors ◽  
Fish Intake ◽  
Phase 3 ◽  
Mixed Effect ◽  
Age Related ◽  
Total Fish ◽  
Socio Demographic Factors ◽  
Fish And Shellfish ◽  
The Impact

Our aim was to investigate how socio-demographic factors influence trends and age-related trajectories of fish consumption. We examined consumption of total, fried and recommended fish (white and oily fish, and shellfish) in the Whitehall II study over 11 years in participants aged 39–59 years at phase 3. The cohort included 8358 British civil servants who completed a FFQ at phase 3 (1991–3), phase 5 (1997–9, n 5430) and phase 7 (2002–4, n 5692). Occupational grade, ethnicity, marital and retirement status were collected at each phase. To analyse changes in age-related trends of fish intake over time according to socio-demographic characteristics, we applied a random mixed-effect model. Over the follow-up a significant increase in consumption of ‘recommended’ (mean: 1·85 to 2·22 portions/week) and total fish (mean: 2·32 to 2·65 portions/week) and a decreasing trend in fried-fish intake (mean: 0·47 to 0·43 portions/week) was observed. Recommended, fried and total fish consumption differed by occupational status, ethnicity, marital status and sex. The trend of age-related fish intake diverged significantly by ethnicity. In South Asian participants (n 432), slope of recommended-fish consumption was significantly higher compared with white participants (0·077 v. 0·025 portions/week per year). For black participants (n 275) slope of fried-fish intake was significantly higher compared with white participants (0·0052 v. − 0·0025 portions/week per year). In terms of public health, our descriptive and analytical work allows detailed understanding of the impact of socio-demographic factors on fish intake and its age-related trends. Such information is valuable for food policies that seek to promote health equity.

scholarly journals KNOWLEDGE AND CONCEPTION OF TUBERCULOSIS;

2014 ◽  
Vol 21 (06) ◽  
pp. 1213-1221
Author(s):  
Safdar Abbas ◽  
Jacob Malik ◽  
Noman Issac ◽  
Rabia Safdar ◽  
Bushra Yasmeen
Keyword(s):  
Significant Relationship ◽  
Demographic Factors ◽  
Secondary Data ◽  
Wealth Index ◽  
Chi Square ◽  
Awareness Campaigns ◽  
Private Sector Organizations ◽  
Socio Demographic Factors ◽  
Public And Private Sector ◽  
The Impact

With the very high incident of tuberculosis, Pakistan ranks fifth globally among the 22 high tuberculosis risk countries. Amongst other factors, socio-demographic factors play a significant role in determining “knowledge of tuberculosis” Objectives: This study used secondary data from the Pakistan Demographic and Health Survey to estimate the impact of socio-demographic factors determining the knowledge of tuberculosis and conception on how it is spread. Data Source: The relevant variables and the other parameters were extracted from the both pdf and SPSS files of PDHS. Study Design: Bi-variant cross tabulation was used to determine the level of association between the hypothesized variables using the Pearson chi-square statistic. Results: Age and wealth index showed a highly significant relationship (p<0.0001) in determining the knowledge of tuberculosis. Moreover, the increasing level of education showed a decreasing trend of misconception about the spread of TB. Conclusions: Though the results of the study indicated a highly significant relationship between the socio-demographic factors and knowledge of tuberculosis, there is a dire need to launch awareness campaigns by the public and private sector organizations to enhance the level of correct knowledge and conception of large masses.

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