Association between socio-demographic characteristics and preventable lifestyle related risk factors of non-communicable diseases among adolescents: a school based study in Berhampur, Odisha

Karmee, Nivedita; Satapathy, Sushree Priyadarsini; Tripathy, Radha Madhab

doi:10.18203/2394-6040.ijcmph20173344

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…Patients with a history of alcohol consumption were 36% less likely to have good recommended healthy lifestyle modi cation practices for hypertension than patients with no history of ever alcohol consumption. This nding aligns with a study from India (2), a study conducted in southeastern Nigeria (34), a schoolbased study in Berhampur, Odisha (35), and Kedah in Malaysia (36), and a study conducted in northwestern Nigeria (29). A possible explanation may be that patients who do not seek alcohol consumption are more likely to change their lifestyles by not wasting their time on alcohol addiction.…”

Section: Discussionsupporting

confidence: 89%

Behavioral and Biomedical Factors Associated with Lifestyle Modification Practices among Diagnosed Hypertensive Patients in South region Ethiopia

Barata,

Yakob,

Menza

et al. 2024

Preprint

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Background More than 23 million deaths and 36.5% of disability-adjusted life-years are the result of the direct effects of unhealthy behavior alone. Daily behaviors have strong implications for health outcomes and quality of life. Objective To determine the behavioral and biomedical factors associated with lifestyle modification practices among diagnosed hypertensive patients attending selected public hospitals in south region Ethiopia. Methods A hospital-based cross-sectional study was conducted among diagnosed adult hypertensive patients aged ≥ 18 years in public hospitals South region of Ethiopia from June 1/2023 to July 30/2023. The study population was randomly selected from among patients diagnosed with hypertension that was followed up during the study period using a systematic random sampling technique. The data were entered into EpiData-4.6.0.2 and exported to SATAT version 14 for analysis. A binary logistic regression model was fitted to determine independent predictors of lifestyle modification practices among hypertensive patients. An adjusted odds ratio with a 95% confidence interval was used to declare a state of significance. Results Out of 443 potential participants approached, 433 agreed to successfully participate in the study, for a response rate of 97.7%. Of the total (433) participants, 56.1% (95% CI, 51.38–60.74) of the patients practiced the recommended lifestyle modifications. Alcohol consumption (AOR = 0.64, 95% CI: 0.42–0.96), ever-practiced reducing salt intake (AOR = 2.48, 95% CI: 1.57–3.93), and low-density lipoprotein cholesterol levels in the blood (> 160 mmg/dL) (AOR = 3.3, 95% CI: 1.72–6.34) were independently associated with lifestyle modifications in patients with hypertension. Conclusion This study revealed that the prevalence of lifestyle modification practices was low among hypertensive patients. Factors significantly associated with lifestyle modification practices were a history of alcohol consumption, reduced salt intake, and low-density lipoprotein. Lifestyle modification is not one-stop practical, but continuous counseling and health promotion are needed to scale up healthy behavior in patients with hypertension to create a good lifestyle.

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Section: Discussionsupporting

confidence: 89%

Behavioral and Biomedical Factors Associated with Lifestyle Modification Practices among Diagnosed Hypertensive Patients in South region Ethiopia

Barata,

Yakob,

Menza

et al. 2024

Preprint

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“…Both age and gender were found to be significantly associated with passive smoking. This finding is in line with the study on health risk factors in adolescents in India (n = 400) in which age is strongly associated with passive smoking [9]. Additionally, a study in China (n = 9788 non-smoking women) showed that the prevalence of passive smoking among non-smoking women in Jilin Province was 60.6% and 42.9% reported that they were exposed to cigarette smoking at home [10].…”

Section: Demographic Characteristics Of Passive Smokerssupporting

confidence: 88%

Passive Smokers’ Support for Stronger Tobacco Control in Indonesia

Nurhasana

Ratih

Dartanto

2020

IJERPH

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Secondhand smoke exposure in Indonesia is high, especially compared to other Southeast Asian countries. Passive smoking leads to negative impacts on health and socio-economic well-being. Therefore, increasing the price of cigarettes and, thereby, increasing barriers to access to cigarettes could be an effective way to reduce smoking prevalence and protect people from second-hand smoke. This study aims to assess passive smokers’ support for cigarette price increases in Indonesia. We perform a quantitative analysis with a cross-sectional design. The data were obtained through phone-based interviews of 1000 respondents aged 18 and older in Indonesia. Only 596 nonsmokers were included to be further analyzed in this study. This study found that 44.1% respondents have at least one family member who smokes. We considered the respondents’ age, gender, education level, employment, and the number of people living in the respondent’s household that are exposed to passive smoking. Our results demonstrate that passive smokers support stronger tobacco control such as increasing cigarette prices, regulating smoking behavior using a religious approach (Fatwa), and applying more effective pictorial health warnings.

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“…Linkages between lifestyle behaviours and socio-demographic characteristics had been studied previously mostly by analysing individual’s lifestyle health risk behaviours [ 22 – 26 ]. The only study for India which estimated the association between aggregation of health risk factors was based only on six selected states (Assam, Karnataka, Maharashtra, Rajasthan, Uttar Pradesh and West Bengal) in the country and the results were generalized for India as a whole [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

Shaikh¹,

Khan

2021

PLoS ONE

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Introduction Individual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016. Methods This study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors. Results More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country. Conclusion The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

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Association between socio-demographic characteristics and preventable lifestyle related risk factors of non-communicable diseases among adolescents: a school based study in Berhampur, Odisha

Cited by 4 publications

References 5 publications

Behavioral and Biomedical Factors Associated with Lifestyle Modification Practices among Diagnosed Hypertensive Patients in South region Ethiopia

Behavioral and Biomedical Factors Associated with Lifestyle Modification Practices among Diagnosed Hypertensive Patients in South region Ethiopia

Passive Smokers’ Support for Stronger Tobacco Control in Indonesia

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

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