Cross-sectional community-based study of the socio-demographic factors associated with the prevalence of dengue in the eastern part of Sudan in 2011

SummaryThe aim of this study was to estimate the prevalence of, and socio-demographic factors associated with, overweight and obesity in Botswana. A cross-sectional survey was conducted in 2007 using a multistage sampling method to select a representative sample of 4107 men and 4916 women aged 20–49 years. Logistic regression analysis was used to identify the socio-demographic factors associated with overweight and obesity. Mean BMI values for men and women were 21.7 kg/m2 and 24.4 kg/m2, respectively. Both overweight and obesity levels were higher among women than men. Overall, 23% of women were overweight compared with 13% of men. Obese women constituted about 15% compared with only 3% of men. However, 19% of men were underweight compared with 12% of women. The main socio-demographic factors associated with overweight and obesity were being older, living in a city/town, being married and having attained higher levels of education, and these relationships were statistically significant at the 5% level. Although over-nutrition is prevalent among adult female Batswana, underweight remains an important public health problem for males. Programmes and other interventions aimed at concurrently addressing both under-nutrition and overweight need to be developed.

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Prevalence and socio-demographic factors associated with physical inactivity among primary health care users in Tirana, Albania: A cross-sectional study

Journal of Health Sciences ◽

10.17532/jhsci.2021.1474 ◽

2021 ◽

Author(s):

Aldo Shpuza ◽

Xhesika Xhetani

Keyword(s):

Physical Inactivity ◽

Demographic Factors ◽

Cross Sectional Study ◽

The Body ◽

World Health ◽

Inverse Association ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Socio Demographic Factors

Introduction: The World Health Organization (WHO) defines physical activity (PA) as any movement of the body produced by skeletal muscle that requires expenditure of energy. The aim of research is to assess the prevalence of and socio-demographic characteristics associated with physical inactivity (PI) among adult primary healthcare (PHC) users in Tirana, the capital of Albania.Methods: This was a cross-sectional study carried out in Tirana from November 2020 to January 2021. During this period 500 consecutively approached individuals aged ≥18 years exiting PHC centers were interviewed face-to-face about the presence of some of the risk factors for non-communicable disease. A structured WHO STEPS questionnaire, an integrated part of which is the instrument required for this study, “Global PA Questionnaire,” was used. In addition to demographic and socioeconomic data, we obtained data on the performance of PA in terms of domains, duration, and intensity. Logistic regression was used to assess socio-demographic factors associated with PI.Results: Prevalence of PI in the study population was 31.6%. Following multivariable adjustment for all covariates, significant positive correlates of PI were female gender, rural residence, retiree status, and unemployment. Conversely, there was an inverse association with moderate level of education.Conclusions: Similar to that of other European populations, the population of Tirana has a high rate of PI showing an upward tendency. The population groups at the highest risk of PI who may be targeted for intervention programs to address this risk factor are women, rural residents, unemployed persons, and retirees.

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Socio-demographic Factors Associated with Treatment Initiation Delays among Tuberculosis Patients in Namibia

Journal of Advances in Medicine and Medical Research ◽

10.9734/jammr/2019/v31i230282 ◽

2019 ◽

pp. 1-11

Author(s):

Francis F. Chikuse ◽

Loveness N. Dzikiti ◽

Auxilia Chideme-Munodawafa ◽

Talkmore Maruta ◽

Greanious A. Mavondo ◽

...

Keyword(s):

Health Care ◽

Treatment Initiation ◽

Demographic Factors ◽

Hiv Care ◽

Prolonged Treatment ◽

Hiv Positive ◽

Cross Sectional ◽

Factors Associated ◽

Tb Treatment ◽

Socio Demographic Factors

Background: Delayed tuberculosis (TB) treatment increases the rate of spread of the bacilli in the community and mortality rates. Rapid diagnosis and early TB treatment initiation are crucial to successful outcomes and delays affect TB control programs. In Namibia, there is a paucity of data on the demographic factors affecting TB treatment initiation since GeneXpert MTB/RIF (Xpert) assay was introduced in 2017. Methods: This was a descriptive cross-sectional retrospective study conducted at Katutura Hospital TB clinic from 1st July 2018 to 31st March 2019. A total of seventy-two (72) participants comprising twenty-five (25) rifampicin resistant-TB (RR-TB) and forty-seven (47) non- RR-TB adult patients were enrolled using consecutive sampling. Patients’ medical records, Xpert results and a questionnaire were used to collect data. The data were analyzed using Stata statistical software version 12. Association between socio-demographic factors and treatment initiation delays were established using logistic regression analysis. Results: Staying with a TB patient (AOR=17.22, 95% CI: 2.29-129.773), employment status (AOR=1.23, 95% CI, 002-129), previous TB treatment (AOR=2.19, 95% CI: 0.076-0.86) and being HIV positive (AOR= 1.23, 95% CI: 0.0034-057) were the socio-demographic factors that were significantly associated with treatment initiation delays. Treatment initiation delay median time at Katutura Intermediate Hospital TB Clinic was 10 days (IQR: 1-32) and 3 days (IQR: 0-12) for RR-TB and non- RR-TB respectively. Conclusion: The prolonged treatment initiation delays among HIV positive RR-TB patients might be due to low adherence to HIV care interventions. Staying with a household TB patient and those who were previously treated for TB were also associated with treatment initiation delays. Poor health systems infrastructure and stigma could be the determinants of this delay in these groups. An integrated family-based approach to TB and HIV care involving health care workers can mitigate TB treatment delays post-diagnosis. Further studies should explore the factors associated with late initiation to second-line treatment from a community perspective. Lastly, there is a need to assess the cost-utility of bedaquiline and delamanid drugs roll-out in Namibian health care in comparison with the standard treatment.

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The role of socio-demographic factors associated with water pipe smoking among male adolescents, in western Iran: A cross-sectional study

Tobacco Induced Diseases ◽

10.18332/tid/94548 ◽

2018 ◽

Vol 16 (3) ◽

Author(s):

Saeed Bashirian ◽

Majid Barati ◽

Hamid Abasi ◽

Manoj Sharma ◽

Manoochehr Karami

Keyword(s):

Demographic Factors ◽

Cross Sectional Study ◽

Water Pipe ◽

Sectional Study ◽

Cross Sectional ◽

Western Iran ◽

Male Adolescents ◽

Factors Associated ◽

Socio Demographic Factors

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A cross-sectional study of socio-demographic factors associated with patient access to primary care in Slovenia

International Journal for Equity in Health ◽

10.1186/s12939-015-0166-y ◽

2015 ◽

Vol 14 (1) ◽

Cited By ~ 4

Author(s):

Suzana Kert ◽

Igor Švab ◽

Maja Sever ◽

Irena Makivić ◽

Danica Rotar Pavlič

Keyword(s):

Primary Care ◽

Demographic Factors ◽

Cross Sectional Study ◽

Patient Access ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Access To Primary Care ◽

Socio Demographic Factors

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Socio-Demographic Factors Associated with Advanced Stage of Cervical Cancer at Diagnosis in Kenyatta National Hospital, Kenya: A Cross Sectional Study

Journal of Cancer Science & Therapy ◽

10.4172/1948-5956.1000473 ◽

2017 ◽

Vol 09 (07) ◽

Author(s):

Kirema Makena Frida ◽

Wagoro Miriam Carole Atieno ◽

Michael Habtu

Keyword(s):

Cervical Cancer ◽

Demographic Factors ◽

Cross Sectional Study ◽

Advanced Stage ◽

Sectional Study ◽

National Hospital ◽

Cross Sectional ◽

Factors Associated ◽

Kenyatta National Hospital ◽

Socio Demographic Factors

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What Influences Utilization of Senior Citizen Centers? Evidence from the 2017 National Survey of Older Koreans

10.21203/rs.2.11701/v1 ◽

2019 ◽

Author(s):

Bimala Sharma ◽

Geurum Song ◽

Eun Woo Nam

Keyword(s):

Life Satisfaction ◽

Health Status ◽

National Survey ◽

Senior Citizen ◽

Demographic Factors ◽

The Elderly ◽

Community Based ◽

Cross Sectional ◽

Significance Level ◽

Socio Demographic Factors

Abstract Background Korea has envisioned an expansion of health and social welfare services for the elderly through community-based care. Accordingly, senior citizen centers are in operation. Objective This study aimed to assess the influence of socio-demographic factors, life satisfaction, and health status on the utilization of senior citizen centers by elderly Koreans. Methods A cross-sectional analytical study was conducted using secondary data from the 2017 National Survey of Older Koreans. Descriptive statistics were used to determine utilization patterns; and chi-square test, bivariate and multivariate logistic regression analyses were conducted at a 5% significance level to determine the factors associated with senior citizen center utilization. Result Of 10,299 elderly people, 21.7% were aged 80 or above, and 22.7% had visited a senior citizen centers in the past 12 months. The most common reasons for visiting was the desire for company, and more than 95% of the subjects were satisfied with the services provided. Regarding socio-demographic factors, those who were female (adjusted odds ratio (AOR) =1.20), older (AOR=3.94 for ≥80 years), illiterate (AOR=5.27), less educated, or from eup meon bu (AOR=6.42) were most likely to use senior citizen centers. Regarding the life satisfaction, those who experienced financial satisfaction (AOR=1.21), satisfaction with culture (AOR=1.49), and satisfaction with friends and society (AOR=4.24) had the higher odds of senior citizen center utilization. Higher odds of the senior citizen center utilization were observed for the elderly diagnosed with multiple diseases as compared to those who were disease free. Conclusion Socio-demographic factors, life satisfaction, and health status influence utilization of the senior citizen centers. Therefore, the government’s community-based care strategy should take these factors into consideration.

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