scholarly journals Independent Associations Between Different Measures of Socioeconomic Position and Smoking Status: A Cross-Sectional Study of Adults in England

2020 ◽  
Author(s):  
Emma Beard ◽  
Jamie Brown ◽  
Sarah E Jackson ◽  
Robert West ◽  
Loren Kock ◽  
...  
Keyword(s):  
Socioeconomic Position ◽  
Ridge Regression ◽  
Employment Status ◽  
Predictive Power ◽  
Independent Predictor ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Housing Tenure ◽  
Car Ownership ◽  
Cross Sectional

Abstract Introduction To gain a better understanding of the complex and independent associations between different measures of socioeconomic position (SEP) and smoking in England. Aims and Methods Between March 2013 and January 2019 data were collected from 120 496 adults aged 16+ in England taking part in the Smoking Toolkit Study. Of these, 18.04% (n = 21 720) were current smokers. Six indicators of SEP were measured: social grade, employment status, educational qualifications, home and car ownership and income. Models were constructed using ridge regression to assess the contribution of each measure of SEP, taking account of high collinearity. Results The strongest predictor of smoking status was housing tenure. Those who did not own their own home had twice the odds of smoking compared with homeowners (odds ratio [OR] = 2.01). Social grade, educational qualification, and income were also good predictors. Those in social grades C1 (OR = 1.04), C2 (OR = 1.29), D (OR = 1.39), and E (OR = 1.78) had higher odds of smoking than those in social grade AB. Similarly, those with A-level/equivalent (OR = 1.15), GCSE/vocational (OR = 1.48), other/still studying (OR = 1.12), and no post-16 qualifications (OR = 1.48) had higher odds of smoking than those with university qualifications, as did those who earned in the lowest (OR = 1.23), third (OR = 1.18), and second quartiles (OR = 1.06) compared with those earning in the highest. Associations between smoking and employment (OR = 1.03) and car ownership (OR = 1.05) were much smaller. Conclusions Of a variety of socioeconomic measures, housing tenure appears to be the strongest independent predictor of smoking in England, followed by social grade, educational qualifications, and income. Employment status and car ownership have the lowest predictive power. Implications This study used ridge regression, a technique which takes into account high collinearity between variables, to gain a better understanding of the independent associations between different measures of SEP and smoking in England. The findings provide guidance as to which SEP measures one could use when trying to identifying individuals most at risk from smoking, with housing tenure identified as the strongest independent predictor.

http://theicph.com/id_ID/122-siti-zakiah-zulfa-cesa-septiana-pratiwi/

2020 ◽  
Author(s):  
Iftah Tazkiyah ◽  
◽  
Sudarto Ronoatmodjo ◽  
Keyword(s):  
Family Planning ◽  
Employment Status ◽  
Smoking Status ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Premature Menopause ◽  
Early Menopause ◽  
Cross Sectional ◽  
Master Program ◽  
Number Of Children

Background: Menopause was the time of life when menstrual cycles cease and are caused by reduced secretion of the ovarian hormones estrogen and progesterone. the proportion of women aged menopause increases with increasing age. This study aimed to find the relationship between employment status, age at first delivery, number of children and smoking status to the incidence of early menopause in women aged 30 to 40 years. Subjects and Method: This was a cross sectional study conducted from secondary data Indonesian Health Data Survey (IDHS), 2017. The inclusion criteria were female respondents 30-40 years old with who are married and use contraceptives. The dependent variable was early menopause. The independent variables were employment status, age at first delivery, number of children and smoking status. The data were analyzed by chi-square and logistic regression. Results: This study found that women aged 30-40 years who had menopause were 10.3%. From the multivariate results, it was found that women who had more than 2 children had a 1.4 times greater risk of early menopause (OR= 1.43, 95% CI= 1.43 to 1.26). Women who have jobs have a 0.5 times greater risk of premature menopause than women who do not work (OR= 0.55, 95% CI= 0.49 to 0.61). The most dominant variable related to the incidence of menopause is the number of children. Conclusion: The family planning program needs to be increased in order to provide counseling on long-term family planning and how to plan to have children and prepare for menopause. Keywords: early menopause, number of children, childbirth age, smoking Correspondence: Iftah Tazkiyah. Master program in Public Health, University of Indonesia. Pondok Cina, Beji district, Depok city, West Java 12345. E-mail: [email protected]. Mobile: 08118002454. DOI: https://doi.org/10.26911/the7thicph.02.12

scholarly journals Association between central non-dipping pattern and platelet morphology in adults with type 1 diabetes without cardiovascular disease: a cross-sectional study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michal Kulecki ◽  
Dariusz Naskret ◽  
Mikolaj Kaminski ◽  
Dominika Kasprzak ◽  
Pawel Lachowski ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 1 Diabetes ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Distribution Width ◽  
Non Invasive ◽  
Platelet Morphology ◽  
Oscillometric Device

AbstractThe non-dipping pattern is nighttime systolic blood pressure (SBP) fall of less than 10%. Several studies showed that the non-dipping pattern, increased mean platelet volume (MPV), and platelet distribution width (PDW) are associated with elevated cardiovascular risk. Hypertensives with the non-dipping pattern have higher MPV than the dippers but this relationship was never investigated among people with type 1 diabetes mellitus (T1DM). This study aimed to investigate the association between the central dipping pattern and platelet morphology in T1DM subjects. We measured the central and brachial blood pressure with a validated non-invasive brachial oscillometric device—Arteriograph 24—during twenty-four-hour analysis in T1DM subjects without diagnosed hypertension. The group was divided based on the central dipping pattern for the dippers and the non-dippers. From a total of 62 subjects (32 males) aged 30.1 (25.7–37) years with T1DM duration 15.0 (9.0–20) years, 36 were non-dippers. The non-dipper group had significantly higher MPV (MPV (10.8 [10.3–11.5] vs 10.4 [10.0–10.7] fl; p = 0.041) and PDW (13.2 [11.7–14.9] vs 12.3 [11.7–12.8] fl; p = 0.029) than dipper group. Multivariable logistic regression revealed that MPV (OR 3.74; 95% CI 1.48–9.45; p = 0.005) and PDW (OR 1.91; 95% CI 1.22–3.00; p = 0.005) were positively associated with central non-dipping pattern adjusting for age, sex, smoking status, daily insulin intake, and height. MPV and PDW are positively associated with the central non-dipping pattern among people with T1DM.

scholarly journals Impact of Coffee/Green Tea/Soft Drink Consumption on the Risk of Hyperuricemia: A Cross-Sectional Study

2021 ◽  
Vol 18 (14) ◽  
pp. 7299
Author(s):  
Joong Seob Lee ◽  
Tae Jun Kim ◽  
Sung Kwang Hong ◽  
Chanyang Min ◽  
Dae Myoung Yoo ◽  
...  
Keyword(s):  
Green Tea ◽  
Reference Group ◽  
Smoking Status ◽  
Soft Drink ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Soft Drink Consumption ◽  
Increased Risk

This cross-sectional study aimed to investigate the association between hyperuricemia and the frequency of coffee, tea, and soft drink consumption, based on data from the Korean Genome and Epidemiology Study (KoGES) (2004–2016). We used the KoGES health examinee data, obtained from urban residents aged ≥ 40 years. Information on the participants’ medical history, nutrition (total calorie, protein, fat, and carbohydrate intake), frequency of alcohol consumption, smoking status, household income, and frequency of coffee/green tea/soft drink intake was collected. A logistic regression model was used to analyze the data. Subgroup analyses were performed according to the participant’s age and sex. Among 173,209 participants, there were 11,750 and 156,002 individuals with hyperuricemia and non-hyperuricemia controls, respectively. In an adjusted model, frequent coffee and green tea consumption did not increase the risk of hyperuricemia, compared to the “no intake” reference group. However, an adjusted odds ratio of hyperuricemia was 1.23 (95% confidence interval, 1.11–1.35, p < 0.001) for participants who reported consuming soft drinks ≥ 3 times per day, compared to the respective “no drink” reference group. Even after adjusting for nutritional and sociodemographic factors, frequent soft drink intake was associated with an increased risk of hyperuricemia. Meanwhile, neither coffee nor green tea intake was associated with an increased risk of hyperuricemia.

scholarly journals Knowledge of breast cancer among medical students in Syrian Private University, Syria: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hlma Ismail ◽  
Mosa Shibani ◽  
Hanaa Wael Zahrawi ◽  
Ali Fouad Slitin ◽  
Mhd Amin Alzabibi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Medical Students ◽  
Clinical Features ◽  
Smoking Status ◽  
Private University ◽  
Cross Sectional Study ◽  
General Information ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Breast cancer is the most common cancer among women and the second leading cause of cancer death globally. Since early diagnosis is crucial to reducing mortality, high levels of knowledge regarding general information, risk factors, and symptoms are required among healthcare professionals to deliver breast cancer care. This study aimed to determine Syrian medical students’ knowledge about breast cancer in the fields of general knowledge, common clinical features, and risk factors. Methods This cross-sectional study was conducted at the Syrian Private University in October 2019 (Breast Cancer Awareness Month), Damascus, during the Syrian war crisis. Data were collected through self-administered surveys and analyzed using the Statistical Package for Social Sciences version 25.0 (SPSS Inc., United States). The chi-square test was applied to assess the relationship between the level of knowledge and gender. One way analysis of variance was performed to assess the overall differences in mean knowledge score by study year, GPA, mother’s education, and source of information. Unpaired Student’s T-test was used to analyze the differences in mean knowledge scores (continuous variable) based on smoking status and alcohol consumption. Results Of 320 students, 301 completed the questionnaire (response rate = 94.0%), of which 179(59.5%) were males. The study revealed above-average knowledge scores (total mean = 68.4%) regarding breast cancer, general information (71.9%), common clinical features (71.6%), and risk factors (71.6%). Clinical students (4th, 5th, and 6th years) scored higher compared with pre-clinical students (1st, 2nd, and 3rd years). Conclusion This study showed above-average knowledge scores regarding breast cancer. More efforts to correct misinformation, through reassessing the university curriculum and promoting awareness about breast cancer are required.

Health and nutrition literacy in adults: Links with lifestyle factors and obesity

2020 ◽  
Vol 13 (4) ◽  
pp. 361-370
Author(s):  
Maria Michou ◽  
Demosthenes B. Panagiotakos ◽  
Christos Lionis ◽  
Vassiliki Costarelli
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Linear Regression ◽  
Smoking Status ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Linear Regression Models ◽  
Chi Square ◽  
Cross Sectional

BACKGROUND: Low Health Literacy (HL) and Nutrition Literacy (NL) are associated with serious negative health outcomes. OBJECTIVES: The aim of this study was to investigate certain lifestyle factors and obesity, in relation to HL and NL. METHODS: This cross-sectional study was conducted in the urban area of the Attica region, in Greece. The sample consisted of 1281 individuals, aged ≥18 years. HL, NL sociodemographic characteristics and lifestyle factors (physical activity, smoking status, alcohol consumption,) were assessed. Mann-Whitney U, the Kruskall Wallis, Pearson chi-square tests and multiple linear regression models were used. RESULTS: Linear regression analysis has shown that smoking, alcohol consumption and physical activity, were associated with HL levels (–1.573 points for ex-smokers in comparison to smokers, p = 0.035, –1.349 points for alcohol consumers in comparison to non-consumers, p = 0.006 and 1.544 points for physically active individuals to non-active, p = 0.001). With respect to NL levels, it was also not associated with any of these factors. Obesity was not associated with HL and NL levels. CONCLUSIONS: Certain lifestyle factors, including physical activity, are predicting factors of HL levels, in Greek adults. The results contribute to the understanding of the relationship between lifestyle factors and HL and should be taken into account when HL policies are designed.

Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

2009 ◽  
Vol 6 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Mohamad Al-Tannir ◽  
Samer Kobrosly ◽  
Taha Itani ◽  
Mariam El-Rajab ◽  
Sawsan Tannir
Keyword(s):  
Physical Activity ◽  
Medical History ◽  
Smoking Status ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Activity Behavior ◽  
The Relationship

Background:This survey aims to assess the prevalence of physical activity among adult Lebanese, and to report the relationship between sociodemographic variables and physical activity behavior, highlighting the correlates discouraging people to carry out physical activity.Methods:A cross-sectional study using an anonymous self-reported questionnaire was conducted on 346 adults from four Lebanese districts. Demographic characteristics, physical activity, smoking status, alcohol consumption, and medical history were obtained.Results:Prevalence of physical activity among Lebanese adults was 55.5% (192/346). Age, BMI, marital status, medical history, occupation, educational level, and smoking were significantly associated with physical activity (P < .05). Inactive obese participants were about three times more likely to report hypertension and diabetes than inactive normal weight participants (P = .013). BMI was significantly higher among inactive participants (P = .014).Conclusion:Physical activity among Lebanese adults was comparable to other populations. Married, non–office workers, and smokers were the main correlates of physical inactivity in Lebanese adulthood.

scholarly journals Paid employment and common mental disorders in 50–64-year olds: analysis of three cross-sectional nationally representative survey samples in 1993, 2000 and 2007

2017 ◽  
Vol 28 (1) ◽  
pp. 88-99
Author(s):  
G. Perera ◽  
G. Di Gessa ◽  
L. M. Corna ◽  
K. Glaser ◽  
R. Stewart
Keyword(s):  
Mental Health ◽  
Employment Status ◽  
Common Mental Disorders ◽  
Common Mental Disorder ◽  
Psychiatric Morbidity ◽  
Housing Tenure ◽  
Cross Sectional ◽  
Paid Employment ◽  
Nationally Representative ◽  
Over Time

Aims.Associations between employment status and mental health are well recognised, but evidence is sparse on the relationship between paid employment and mental health in the years running up to statutory retirement ages using robust mental health measures. In addition, there has been no investigation into the stability over time in this relationship: an important consideration if survey findings are used to inform future policy. The aim of this study is to investigate the association between employment status and common mental disorder (CMD) in 50–64-year old residents in England and its stability over time, taking advantage of three national mental health surveys carried out over a 14-year period.Methods.Data were analysed from the British National Surveys of Psychiatric Morbidity of 1993, 2000 and 2007. Paid employment status was the primary exposure of interest and CMD the primary outcome – both ascertained identically in all three surveys (CMD from the revised Clinical Interview Schedule). Multivariable logistic regression models were used.Results.The prevalence of CMD was higher in people not in paid employment across all survey years; however, this association was only present for non-employment related to poor health as an outcome and was not apparent in those citing other reasons for non-employment. Odds ratios for the association between non-employment due to ill health and CMD were 3.05 in 1993, 3.56 in 2000, and 2.80 in 2007, after adjustment for age, gender, marital status, education, social class, housing tenure, financial difficulties, smoking status, recent physical health consultation and activities of daily living impairment.Conclusions.The prevalence of CMD was higher in people not in paid employment for health reasons, but was not associated with non-employment for other reasons. Associations had been relatively stable in strength from 1993 to 2007 in those three cross-sectional nationally representative samples.

scholarly journals Determinants of duration of breastfeeding amongst women in Manipur

1970 ◽  
Vol 10 (4) ◽  
pp. 235-239 ◽  
Author(s):  
N Sanajaoba Singh ◽  
N Sharat Singh
Keyword(s):  
Employment Status ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Cluster Sampling ◽  
Proportional Hazard ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
Analysis Technique ◽  
Two Factors ◽  
Duration Of Breastfeeding

Objective: The purpose of present study is to investigate the differentials and determinants of duration breastfeeding (BF) according to various socio-economic and demographic factors. Methods: A cross sectional study of 1225 ever-married women of reproductive age with at least one live birth was conducted in four valley districts of Manipur under cluster sampling scheme. Survival analysis technique has been adopted through SPSS vs 16. Results: The median duration of BF is found to be 20.37 months. Among the six explanatory variables of interest, only two factors - place of residence (relative risk (RR) =1.35) and employment status RR = 1.88) have highly significant effect (P<0.01) on BF and only two factors educational level (RR=1.02) and parity (RR = 0.83) are found to be statistically significant (P<0.05) on BF. Conclusion: The residence, education, employment status and parity have significant effects on the present duration of BF that is about 20 months which is below the India's national figure of 25 months and WHO recommended figure of 24 months. Key words: Fertility; censored case; parity; life table; proportional hazard model DOI: http://dx.doi.org/10.3329/bjms.v10i4.9493 BJMS 2011; 10 (4): 235-239

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