Physical activity and body mass shape quality of life trajectories in mid‐age women

Kanesarajah, Jeeva; Waller, Michael; Whitty, Jennifer A.; Mishra, Gita D.

doi:10.1111/1753-6405.12802

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…However, there are other factors that have been shown to affect the QOL of the general population, but their influence on the QOL of university students has yet to be properly studied. These factors include diet [21], physical activity [22], smoking [23], alcohol intake [24] and relationship status [25]. Furthermore, most of the scholarly literature on the QOL of university students has focused on specific groups of students: generally those enrolled in health science programs (e.g., medicine, dentistry or nursing).…”

Section: Introductionmentioning

confidence: 99%

Predictors of the Quality of Life of University Students: A Cross-Sectional Study

Ramón-Arbués

Echániz-Serrano

Martínez-Abadía³

et al. 2022

IJERPH

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Quality of life (QOL) is a complex and multifaceted concept that has been used to study different aspects of people’s lives, including physical and psychological wellbeing, financial independence, social relationships, personal beliefs and living situation. In this study, we aimed to assess the QOL of a group of Spanish university students and identify associated factors. Method: We completed a cross-sectional study of the QOL of 868 university students using the WHOQOL-BREF questionnaire. In addition, data regarding sociodemographic information and self-esteem (Rosenberg Self-Esteem Scale), physical activity (International Physical Activity Questionnaire—Short version), diet (Spanish Index of Healthy Eating), alcohol consumption (CAGE questionnaire) and sleep quality (Pittsburgh Sleep Quality Index) were collected. Results: A total of 66.2% of participants assessed their QOL positively, while 58.8% favorably evaluated their overall health. Students reported the highest scores for the physical health domain of QOL, whereas they gave the lowest scores for the psychological health domain. Age was inversely associated with QOL. Higher self-esteem and satisfaction with academic performance, as well as sleep and diet quality, were directly associated with higher QOL. The physical health domain of QOL was scored more highly by participants who had a healthy body weight or those who reported moderate levels of physical activity. Higher scores in the social relationships domain of QOL were directly linked to alcohol intake, smoking and low body weight in addition to being inversely associated with screen time. The psychological domain of QOL was lower for those who were overweight or lived alone. Conclusion: Many sociodemographic, academic and behavioral variables are associated with university students’ QOL. The present findings underscore the need to direct further initiatives toward identifying and overcoming barriers to increased QOL for university students.

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Section: Introductionmentioning

confidence: 99%

Predictors of the Quality of Life of University Students: A Cross-Sectional Study

Ramón-Arbués

Echániz-Serrano

Martínez-Abadía³

et al. 2022

IJERPH

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“…These current discoveries confirm physical activity as a quality of life determinant. A similar finding in later work, a prominent result in a five-year longitudinal study of women's health declared those no physical activity encounters an extreme decline in quality of life over time (Kanesarajah, Waller, Whitty, & Mishra, 2018). An empirical study claimed that constant physical activity is valuable to maintain health, whichever has a practical impact on psychology, well-being, cognitive developments, and levels of optimism (Heiestad, Rustaden, Bø, & Haakstad, 2016).…”

Section: Resultsmentioning

confidence: 57%

The Importance Of Physical Activity And Community Participation Amongst Women For A Better Quality Of Life: A Cross-Sectional Study of Indonesia Family Life Survey

Yuniati

Shobur

Kumalasari

et al. 2022

IJHET

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Background:The quality of life differs according to individual characteristics and social life. Employment status impacts women's role in family and society. Income influences many aspects of women's lives. This research was designed to compare the quality of life of employed women with unemployed womens. This study is quantitative research in public health to determine the quality of life of employed women and unemployed womens. This study used data from the Indonesia Family Life Survey in 2014. The first (IFLS1) wave was conducted in 1993–1994. The survey individuals represented almost 83% of the Indonesian population residing in 13 of the country’s 26 provinces. IFLS5 was carried out in 2014-2015 and the individual re-contact rate was 90.5%. The number of women in the 2014 IFLS data aged 22-55 years who were not attending school is 10,661. Subjects with complete data in this study were 7169. Primary activities during the past week such as being employed and homemakers were eligible criteria. The average QoL score of employed women was higher than unemployed womens, with the mean difference was 0.019. The person correlation reveals no differences in overall QoL for both groups. Despite the Pearson correlation test revealing no significant difference in overall quality of life, employed women rated higher scores for almost dimensions of quality of life (well-being, general health, physical activity, social participation, religion, and social environment). The current study identified significant differences in physical activity and community participation for the two groups. The quality of life of employed women is better than unemployed. This study provides the ensuing practical implications regarding regular physical activity and getting involved in community programs. It is necessary to strengthen the support system. Furthermore, health promotion is essential for women to take responsibility for chores and achieve social support by engaging in community activities.

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“…In turn, the positive influence of regular physical activity on the body composition and physical fitness of various population groups, including senior women, has been confirmed in research at various centres [8,12,13,26,28,30,39]. In these studies, a positive effect has also been demonstrated with regard to moderate and high physical activity in mitigating the effects of overweightness and obesity, which reduce quality of life among middle-aged women [18]. The positive effect of systematic physical activity on the content of adipose tissue and BMI in people aged 40-69 in Great Britain [7] and on physical fitness, health and BMI in people aged 33-76 in Germany [38] has been further confirmed.…”

Section: Discussionmentioning

confidence: 78%

Body mass index, functional fitness and nutritional behaviours of senior women from the Kraków population

2023

Rocz Panstw Zakl Hig

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Background. Body Mass Index (BMI) is dependent on, among others, diet and level of physical activity. Seniors are more prone to nutritional disorders than other population groups. Objective. The aim of the study was to analyse the relationship between BMI and nutritional behaviours as well as the functional fitness level of senior women. Materials and methods. The research was carried out among a group of 120 women aged 60-84, using the TANITA SC-330ST body composition analyser, the HOLTAIN anthropometer, the Fullerton Functional Fitness Test and the authordesigned nutritional behaviour questionnaire for seniors. Statistical analyses were conducted using the IBM SPSS 21 statistical package, applying the Kruskal-Wallis ANOVA tests with comparisons of z tests at the significance level p<0.05. Results. In terms of the relationship between BMI and functional fitness indices, it was shown that women with normal weight obtained higher results for the lower body (p=0.043) and upper body agility tests than obese women (p<0.001). Females with normal BMI also obtained higher results in the endurance test than the overweight women (p=0.038). In terms of the correlation between BMI and nutritional behaviours, it was demonstrated that women with a healthy body mass more often ate varied, low-volume meals than those overweight (p=0.026). Women with correct weight ate fish, eggs and lean meat more often than obese women (p=0.036). Obese women consumed 3-5 portions of fruit and vegetables less frequently during the day than women with normal body mass (p=0.029) and those overweight (p=0.015). Obese women were less likely to eat sea fish at least 1-2 times a week than overweight females (p=0.040) and those with normal BMI (p<0.001). At the same time, women with a normal BMI indicated a higher degree of performed daily physical activity than the overweight women (p=0.028) and those with obesity (p=0.030). Conclusions. Women with normal BMI presented more rational nutrition habits and higher functional fitness than overweight and obese senior women.

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Physical activity and body mass shape quality of life trajectories in mid‐age women

Cited by 8 publications

References 36 publications

Predictors of the Quality of Life of University Students: A Cross-Sectional Study

Predictors of the Quality of Life of University Students: A Cross-Sectional Study

The Importance Of Physical Activity And Community Participation Amongst Women For A Better Quality Of Life: A Cross-Sectional Study of Indonesia Family Life Survey

Body mass index, functional fitness and nutritional behaviours of senior women from the Kraków population

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