Factors Influencing Children’s Regular Attendance at Dental Clinics in Al Madinah, Saudi Arabia

Objectives: This study aimed to investigate sociodemographic, clinical, and behavioral characteristics of 9- to 12-year-old schoolchildren who attend regular dental visits. Methods: A stratified sample from 10 schools in Al Madinah, SA, was selected, and a total of 1,000 students aged 9–12 years were included in the study. The WHO criteria (2013) for assessing dental caries were used to collect clinical data, and information on dental visits and sociodemographic and behavioral variables was collected through the WHO questionnaire. The logistic regression model was used to examine the relationship between regular dental visits and sociodemographic, clinical, and behavioral factors. Results: Only 9.2% of the sample reported regular dental visits. The multiple logistic regression model showed that gender (female: OR = 1.715; p = 0.041), high family income (middle income: OR = 0.464; p = 0.024; and low income: OR = 0.517; p = 0.015), and the consumption of sugary food and drinks (almost daily: OR = 0.438; p = 0.017; and several times a week: OR = 0.511; p = 0.050) were associated with regular dental visits after accounting for other sociodemographic and clinical variables and other oral health behavior. Conclusion: In the population studied, <10% of 9- to 12-year-olds made regular annual visits to dental clinics in Al Madinah, SA.

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Nomogram to Early Screen Multiparous Women for Preterm Birth in a Cohort Study

10.21203/rs.3.rs-111878/v1 ◽

2020 ◽

Author(s):

Mayssa Traboulsi ◽

Zainab El Alaoui Talibi ◽

Abdellatif Boussaid

Keyword(s):

Logistic Regression ◽

Cohort Study ◽

Preterm Birth ◽

Regression Model ◽

Low Income ◽

Logistic Regression Model ◽

Penalized Regression ◽

Low Income Countries ◽

Nulliparous Women ◽

Multiparous Women

Abstract Background: Preterm Birth (PTB) can negatively affect the health of mothers as well as infants. Prediction of this gynecological complication remains difficult especially in Middle and Low-Income countries because of limited access to specific tests and data collection scarcity. Multiparous women in our study presented a higher PTB prevalence compared to nulliparous women. Methods: In a cohort study from Northern Lebanon of 1996 women, 922 were multiparous presenting a PTB prevalence of 8%. We analyzed the personal, demographic, and health indicators available for this group of women. We compared 4 modified logistic regression models (up-sampling, lasso penalized regression) to develop a nomogram that can screen for preterm in multi-parous women. The models were trained and validated on different data sets.Results: The best PTB prediction of the Logistic regression model reached around 88%. This was obtained using a Logistic Regression Model trained on up-sampled datasets and LASSO (Least Absolute Shrinkage and Selection Operator) penalized. The regression coefficients of the 6 selected variables (Pre-hemorrhage, Social status, Residence, Age, BMI, and Weight gain) were used to create a nomogram to screen multiparous women for PTB risk. Conclusions: The nomogram based on readily available indicators for multiparous women reasonably predicted most of the at PTB risk women. This tool will allow physicians to screen women that represent a high risk for spontaneous preterm birth and run furthermore adequate additional tests leading to better medical surveillance that can reduce PTB incidence.

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Binary Logistic Regression Model for Assessing Factors Associated with Nutritional Status of Children Under Five Years among Chepang Community in Siddi, Chitwan, Nepal

Nepalese Journal of Statistics ◽

10.3126/njs.v4i0.33451 ◽

2020 ◽

Vol 4 ◽

pp. 43-56

Author(s):

Ravi Kiran Poudel ◽

Shankar Prasad Khanal

Keyword(s):

Logistic Regression ◽

Nutritional Status ◽

Regression Model ◽

Logistic Regression Model ◽

Family Income ◽

Children Under Five ◽

Under Five ◽

Factors Associated ◽

Number Of Children ◽

Nutritional Status Of Children

Background: Chepang Community in Nepal has often been characterized as the poorest among Nepal’s poor, and has faced food insecurity at a household level each year. Health status of their children is poor compared to other community children and more so for the age group under the age of five years. Objective: To find the proportion of stunting, wasting and underweight, and to assess the most promising factors associated with the nutritional status of children under five years of Chepang community in Siddi, Chitwan, Nepal. Materials and Methods: A cross-sectional research design was used with 170 samples. To find the association of different factors with the nutritional status of children under 5 years of age (stunting, wasting and underweight, each) binary multiple logistic regression model was used and the goodness of fit of the model was assessed through Hosmer and Lemeshow test. Results: The overall proportion of children under five years of the Chepang community is 60.6%, 30.6% and 44.7% for underweight, stunting and wasting respectively. Among many factors, the mother’s illiteracy (OR: 5.30, 95 % CI: 1.37 to 21.57), external monthly family income (≤ NRs. 2000) (OR: 9.65, 95 % CI: 3.23 to 30.78) and food availability for six months from own land (OR: 4.17, 95 % CI: 1.90 to 17.98) have a significant association with underweight. Similarly, for stunting, female child (OR: 2.19, 95 % CI: 1.02 to 4.70), number of children (more than one) below 14 years at home (OR: 4.15, 95 % CI : 1.77 to 11.04) and external family income (≤ NRs. 2000) (OR: 4.42, 95% CI: 1.01 to 17.06) are significantly associated, and for wasting, a number of children (more than one) below 14 years at home (OR: 4.64, 95 % of CI: 1.71 to 12.60) and external family income (≤ NRs. 2000) (OR: 5.17, 95 % CI: 2.27 to 11.79) are significantly associated. Conclusion: Substantial numbers of children from Chepang community are having the problem of underweight, stunting and wasting. Different demographic and socio-economic variables have been found associated for odds of having low level of nutritional status of children.

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Nomogram to Early Screen Multiparous Women for Preterm Birth in a Cohort Study

10.21203/rs.3.rs-102661/v1 ◽

2020 ◽

Author(s):

Mayssa Traboulsi ◽

Zainab E. El Alaoui- Talibi ◽

Abdellatif Boussaid

Keyword(s):

Logistic Regression ◽

Cohort Study ◽

Preterm Birth ◽

Regression Model ◽

Low Income ◽

Logistic Regression Model ◽

Penalized Regression ◽

Low Income Countries ◽

Nulliparous Women ◽

Multiparous Women

Abstract Background: Preterm Birth (PTB) can negatively affect the health of mothers as well as infants. Prediction of this gynecological complication remains difficult especially in Middle and Low-Income countries because of limited access to specific tests and data collection scarcity. Multiparous women in our study presented a higher PTB prevalence compared to nulliparous women. Methods: In a cohort study from Northern Lebanon of 1996 women, 922 were multiparous presenting a PTB prevalence of 8%. We analyzed the personal, demographic, and health indicators available for this group of women. We compared 4 modified logistic regression models (up-sampling, lasso penalized regression) to develop a nomogram that can screen for preterm in multi-parous women. The models were validated on a separate set of data.Results: The best PTB prediction of the Logistic regression model reached around 88%. This was obtained using a Logistic Regression Model trained on up-sampled datasets and LASSO (Least Absolute Shrinkage and Selection Operator) penalized. The regression coefficients of the 6 selected variables (Pre-hemorrhage, Social status, Residence, Age, BMI, and Weight gain) were used to create a nomogram to screen multiparous women for PTB risk. Conclusions: The nomogram based on readily available indicators for multiparous women reasonably predicted most of the at PTB risk women. This tool will allow physicians to screen women and run furthermore adequate additional tests leading to better medical surveillance that can reduce PTB incidence.

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Sociodemographic Determinants of Marital Satisfaction Among an Iranian Population

Journal of Research and Health ◽

10.32598/jrh.11.3.100.5 ◽

2021 ◽

Vol 11 (3) ◽

pp. 183-190

Author(s):

Farahnaz Bahrami ◽

◽

Akram Kharazmi ◽

Shahab Rezaeian ◽

Ali Alami ◽

...

Keyword(s):

Logistic Regression ◽

Marital Satisfaction ◽

Regression Model ◽

Logistic Regression Model ◽

Family Income ◽

Economic Status ◽

Simple Random Sampling ◽

Cross Sectional Study ◽

Satisfaction Scale ◽

Cross Sectional

Background: There is a lack of Iranian studies on marital satisfaction, which is one of the important factors in the stability of marriage. Therefore, the present study aimed to evaluate the effects of sociodemographic variables on marital satisfaction. Methods: This analytical and cross-sectional study was conducted on 770 married people from Gonabad City, Northeast of Iran. The simple random sampling method was used. Also, the ENRICH marital satisfaction scale was used to measure marital satisfaction as a dependent variable. A cut-off score of 100 was considered for the scale, with higher scores indicating satisfaction. Moreover, the logistic regression model was used to examine the effects of the variables on marital satisfaction. Results: The Mean±SD age of the participants was 39.2±10.6 years. Most of the participants (75%) were categorized as satisfied, with a Mean±SD score of 113.9±26.8. Besides, both univariate and multiple regression analyses showed a strong significant relationship between economic status and marital satisfaction, ie, a better economic status increased the odds of marital satisfaction. After controlling other investigated variables, the logistic regression model showed that men are about two times more likely than women to be satisfied with their marriage (adjusted odds ratio=1.82). Conclusion: The present findings showed that family income and gender positively influence marital satisfaction. Accordingly, marital satisfaction and family solidarity could be enhanced by the provision of legal and social rules to ensure the equal right of men and women, as well as attempts to improve the economic status of the families.

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Determinants of Satisfaction and Proper Management of Aged Population in Chapai Nawabgonj District in Bangladesh: Multivariate Approach

Asian Journal of Humanity Art and Literature ◽

10.18034/ajhal.v8i1.538 ◽

2021 ◽

Vol 8 (1) ◽

pp. 9-18

Author(s):

Md. Shamsuzzaman

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Elderly People ◽

Low Income ◽

Living Arrangements ◽

Logistic Regression Model ◽

The Elderly ◽

Aged Population ◽

Proper Management ◽

Significant Factors

Improving the ability of the satisfaction and proper management to reach the aged population is important for health and essential to mitigate the income erosion consequences of ill health in Bangladesh. This study examined the satisfaction and proper management of the elderly of some identified disadvantages of aged populations; including the effect of poverty-focused nongovernmental development interventions. The objective of the study is to determine the more influential factors that are affecting the health status and living arrangements of the elderly. The data were collected by direct interview method from Chapai-Nawabgonj District, Bangladesh. The chi-square test and logistic regression model were used to fulfill the objective of this study. The results of this study reveal that among literate the majority percent aged population has at least primary education and slightly over half of them have secondary level education. The majority of the elderly people are low income, economically dependent, living with married children. Also, they are unhealthy to suffer from different kinds of illnesses like Lame, Gastric, Blood pressure, Paralysis, Diabetics, etc. A large number of people is taking treatment from M.B.B.S, and a small portion of people are taking treatment from Homeopathic and Ayurvedic physician. Despite their suffering, most of them do not get the proper care. Television, Newspaper, monthly income-expenditure, family member, and educational status are associated with the satisfaction of elderly people. The logistic regression model exposed that serious operation and proper management are the most major significant factors effects satisfaction. It also exposed that mental torture, a different shelter for the elderly are major significant factors effects proper management. The paper concludes by emphasizing the importance of enhancing local capacities to determine whether self-treatment is indicated, to investigate socio-economic background, or in cases where satisfaction and proper management is sought, to judge provider competence and evaluate whether basic needs are justified. The provision of pharmaceutical training to the full spectrum of satisfied providers is also recommended.

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