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      Factors influencing quality of life in low-income women with young children in Korea: a cross-sectional study

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          Abstract

          Purpose

          This study aimed to investigate the effects of health-promoting behaviors (HPB), marital intimacy, and parenting stress on the quality of life (QoL) of low-income women with young children in Korea, an underserved group.

          Methods

          This cross-sectional survey employed a descriptive correlational design. Using convenience sampling, 123 low-income women with children younger than 6 years were recruited from 14 health and community centers in Jeonju, Korea, from June 2020 to May 2021. Participants completed a questionnaire on QoL, HPB, marital intimacy, and parenting stress. Data were analyzed using descriptive statistics, independent t-test, analysis of variance, Pearson correlation, and hierarchical regression analysis.

          Results

          Participants, who were on average 37.41±3.65 years old and had 1 to 2 children (n=98, 79.7%), reported a mid-level (3.14 out of 1–5) of QoL. Marital intimacy (β=.38, p<.001) was the most influential factor on the QoL of low-income women with young children. In descending order, HPB (β=.35, p<.001) and non-employment status (β=–.21, p=.003) had a significant influence on QoL (F=15.64, p<.001), and the overall explanatory power was 49.0%.

          Conclusion

          Considering the mid-level QoL of low-income women with young children, programs aimed at improving the QoL of low-income women need to promote marital intimacy and maintain HPB, while considering their employment status. Strategies that include couple counseling, health care to encourage healthy lifestyles, and reemployment education are needed.

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          Most cited references34

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            The Health-Promoting Lifestyle Profile: development and psychometric characteristics.

            This article describes the development and initial psychometric evaluation of an instrument to measure health-promoting life-style. Based on responses from 952 adults in midwestern communities, the Health-Promoting Lifestyle Profile was evaluated using item analysis, factor analysis, and reliability measures. Factor analysis isolated six dimensions: Self-Actualization, Health Responsibility, Exercise, Nutrition, Interpersonal Support, and Stress Management. These six factors accounted for 47.1% of the variance in the 48-item measure. Second-order factor analysis yielded a single factor, interpreted as Health-Promoting Lifestyle. The alpha reliability coefficient for the total scale is .922; alpha coefficients for the subscales range from .702 to .904. Further evaluation of the measure with different populations appears warranted. This instrument will enable researchers to investigate patterns and determinants of health-promoting life-style, as well as the effects of interventions to alter life-style.
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              Socioeconomic position, gender, health behaviours and biomarkers of cardiovascular disease and diabetes.

              Socio-economic gradients in cardiovascular disease (CVD) and diabetes have been found throughout the developed world and there is some evidence to suggest that these gradients may be steeper for women. Research on social gradients in biological risk factors for CVD and diabetes has received less attention and we do not know the extent to which gradients in biomarkers vary for men and women. We examined the associations between two indicators of socio-economic position (education and household income) and biomarkers of diabetes and cardiovascular disease (CVD) for men and women in a national, population-based study of 11,247 Australian adults. Multi-level linear regression was used to assess associations between education and income and glucose tolerance, dyslipidaemia, blood pressure (BP) and waist circumference before and after adjustment for behaviours (diet, smoking, physical activity, TV viewing time, and alcohol use). Measures of glucose tolerance included fasting plasma glucose and insulin and the results of a glucose tolerance test (2 h glucose) with higher levels of each indicating poorer glucose tolerance. Triglycerides and High Density Lipoprotein (HDL) Cholesterol were used as measures of dyslipidaemia with higher levels of the former and lower levels of the later being associated with CVD risk. Lower education and low income were associated with higher levels of fasting insulin, triglycerides and waist circumference in women. Women with low education had higher systolic and diastolic BP and low income women had higher 2 h glucose and lower HDL cholesterol. With only one exception (low income and systolic BP), all of these estimates were reduced by more than 20% when behavioural risk factors were included. Men with lower education had higher fasting plasma glucose, 2 h glucose, waist circumference and systolic BP and, with the exception of waist circumference, all of these estimates were reduced when health behaviours were included in the models. While low income was associated with higher levels of 2-h glucose and triglycerides it was also associated with better biomarker profiles including lower insulin, waist circumference and diastolic BP. We conclude that low socio-economic position is more consistently associated with a worse profile of biomarkers for CVD and diabetes for women. Copyright 2010. Published by Elsevier Ltd.
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                Author and article information

                Journal
                Korean J Women Health Nurs
                Korean J Women Health Nurs
                KJWHN
                Korean Journal of Women Health Nursing
                Korean Society of Women Health Nursing
                2287-1640
                2093-7695
                31 March 2022
                30 March 2022
                : 28
                : 1
                : 56-64
                Affiliations
                [1 ]Department of Nursing, Hanil University and Presbyterian Theological Seminary, Wanju, Korea
                [2 ]CCollege of Nursing, Research Institute of Nursing Science, Jeonbuk National University, Jeonju, Korea
                Author notes
                Corresponding author: Ju-Hee Nho College of Nursing, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju 54896, Korea Tel: +82-63-270-3108 E-mail: jhnho@ 123456jbnu.ac.kr
                Author information
                http://orcid.org/0000-0002-2912-8927
                http://orcid.org/0000-0002-5260-5605
                Article
                kjwhn-2022-03-03
                10.4069/kjwhn.2022.03.03
                9334206
                36312045
                43d3e6d5-b990-4f2d-81cd-1faee1075ac8
                Copyright © 2022 Korean Society of Women Health Nursing

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 December 2021
                : 3 March 2022
                Categories
                Original Article

                child,life style,psychological distress,quality of life,women

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