Long working hours and physical activity

Long working hours and preventive oral health behaviors: a nationwide study in Korea (2007-2021)

BACKGROUND

This study explored the association between working hours and preventive oral health behaviors.

METHODS

In total, 48,599 workers (22,992 females) were included from the Korea National Health and Nutrition Examination Survey (2007-2021). Weekly working hours were self-reported. The following three preventive oral health behaviors were set as outcomes: participation in annual dental check-ups; adherence to the recommended toothbrushing frequency (≥twice a day); and use of interdental cleaning devices. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression.

RESULTS

In male workers, the adjusted OR (95% CI) of the association between working ≥55 h/week and each outcome was 0.84 (0.77-0.92) for dental check-ups, 0.82 (0.72-0.94) for toothbrushing ≥twice a day, and 0.83 (0.76-0.92) for utilization of interdental cleaning device when compared to 35-40 h/week. In female workers, the adjusted OR (95% CI) of the association between working ≥55 h/week and each outcome was 0.79 (0.70-0.89) for dental check-ups, 0.88 (0.70-1.11) for toothbrushing ≥twice a day, and 0.80 (0.71-0.90) for utilization of interdental cleaning device when compared to 35-40 h/week. Additionally, low socio-economic status, such as low educational attainment, low income level, and blue-collar occupations, were major risk factors associated with non-adherence to preventive oral health behaviors in both male and female workers.

CONCLUSIONS

Our study suggests that individuals who work long hours are more likely to exhibit undesirable oral health behaviors.

Association between long working hours and cigarette smoking, leisure-time physical activity, and risky alcohol use: Findings from the Korea National Health and Nutrition Examination Survey (2014-2021)

BACKGROUND

Long working hours cause adverse health outcomes; however, the precise mechanisms underlying this relationship remain unknown. We examined the association between long working hours and health behaviors, as well as gender differences in this association.

METHODS

A nationally representative sample of 26,385 Korean workers was analyzed. The exposure variable was self-reported weekly working hours. The outcomes examined were cigarette smoking, high-level physical activity (defined as engaging in ≥150 min/week of moderate-to-vigorous leisure-time physical activity), and risky alcohol use (defined as consuming seven glasses for men or five glasses for women of alcohol in a single sitting, twice or more per week). Logistic regression models were utilized, and gender differences were examined by incorporating interaction terms into the regression models.

RESULTS

Among 26,385 workers, 4,109 (16%) worked ≥55 h/week. The prevalence of cigarette smoking, high-level physical activity, and risky alcohol use was 19%, 18%, and 14%, respectively. The odds ratio (OR) (95% confidence interval [CI]) of the association between working ≥55 h/week and outcomes was 1.26 (1.12-1.43) for cigarette smoking, 0.73 (0.65-0.83) for high-level physical activity, and 0.95 (0.83-1.08) for risky alcohol use compared to working 35-40 h/week. A moderating effect of gender on the association between long working hours and risky alcohol use was observed. The OR (95% CI) of the association between working ≥55 h/week was 0.88 (0.76-1.02) in men and 1.51 (1.12-2.05) in women.

CONCLUSION

Our findings emphasize the need for policy interventions aimed at reducing excessive working hours and fostering healthy lifestyle behaviors among individuals engaged in long working hours.

Perceived barriers to maintain physical activity and its association to mental health status of Bangladeshi adults: a quantile regression approach

Insufficient physical activity and unhealthy lifestyle preferences have been significant concerns for decades. This study aimed to determine the perceived barriers to maintaining physical activity among adults in three major cities of Bangladesh and their association with mental health status. This is a cross-sectional study where 400 participants were selected using a multistage sampling technique. Twenty municipal wards were randomly selected from three cities, followed by a convenient selection of the study participants from each ward. Questionnaires about perceived physical activity barriers were developed based on previously published literature. The DASS-21 scale assessed the mental health status of the study participants. Descriptive statistics were applied to narrate the baseline characteristics of the respondents. The Shapiro-Wilk test was used to check the normality of the perceived physical activity scores. Quantile regression analysis was applied to model the physical activity barrier scores depending on several covariates. Five quantiles were used: the 10th, 25th, 50th, 75th, and 90th. A p-value less than 0.05 was considered significant for hypothesis testing. Among the respondents, 68.50% were male, half of them were married, 68.0% belonged to nuclear families, 48.0% completed graduate level education, 34.25% were service holders, one-third of the respondent's working hours were 6-8 h, and 19.50% belongs to the overweight and obese groups. Poor traffic and construction work near the road (60.30%) was seen as the most significant barrier to physical activity. Over half of the respondents stated that lack of time, facilities, and expenses hinder physical activity. Mental health status reported mild to extremely severe levels of depression (32%), anxiety (47%), and stress (42.50%), respectively. Significant associations between the perceived physical activity scores and gender, family type, occupation, income, BMI, anxiety, and depression were obtained. Ensuring a safe environment, facilitating accessibility and availability of low-cost exercise facilities, improving road and traffic conditions, and providing appropriate mental health counseling may help to mitigate physical activity barriers.

Association between long working hours and physical inactivity in middle-aged and older adults: a Korean longitudinal study (2006-2020)

BACKGROUND

We investigated associations for long working hours in relation to physical inactivity and high-level physical activity among middle-aged and older adults.

METHODS

Our study included 5402 participants and 21 595 observations from the Korean Longitudinal Study of Ageing (2006-2020). Logistic mixed models were used to estimate ORs and 95% CIs. Physical inactivity was defined as not engaging in any type of physical activity, while high-level physical activity was defined as engaging in ≥150 min per week of physical activity.

RESULTS

Working >40 hours weekly was positively related to physical inactivity (OR (95% CI) 1.48 (1.35 to 1.61)) and negatively related to high-level physical activity (0.72 (95% CI 0.65 to 0.79)). Exposure to long working hours consecutively for ≥3 waves was associated with the highest OR for physical inactivity (1.62 (95% CI 1.42 to 1.85)) and the lowest OR for high-level physical activity (0.71 (95% CI 0.62 to 0.82)). Furthermore, compared with persistent short working hours (≤40 hours → ≤40 hours), long working hours in a previous wave (>40 hours → ≤40 hours) were associated with a higher OR of physical inactivity (1.28 (95% CI 1.11 to 1.49)). Exposure to an increase in working hours (≤40 hours → >40 hours) was also associated with a higher OR of physical inactivity (1.53 (95% CI 1.29 to 1.82)).

CONCLUSION

We found that having working long hours was associated with a higher risk of physical inactivity and a lower likelihood of high-level physical activity. Moreover, accumulation of long working hours was associated with a higher risk of physical inactivity.

Time for Physical Activity: Different, Unequal, Gendered

We investigate time inequity as an explanatory mechanism for gendered physical activity disparity. Our mixed-effect generalized linear model with two-stage residual inclusion framework uses longitudinal data, capturing differing exchanges and trade-offs in time resources. The first stage estimates within-household exchanges of paid and family work hours. Estimates show that men's employment increases women's family work hours while reducing their own, whereas women's employment weakly affects men's family time. Incorporating unequal household exchange into the second stage reveals that as women's paid or family work hours increase, physical activity goes down. In contrast, men's physical activity is unaffected by paid work hours, and family time appears protective. Control over work time further underscores gendered time exchange: Men's activity increases with own or partner's control, whereas women's increases only with their own. Our approach reveals how men's and women's unequal capability to use time creates differing trade-offs between work, family, and physical activity, generating health inequity.

The Effect of Commuting Time on Job Stress in Obese Men With Different Exercise Frequency in China

Previous studies have mainly focused on the independent impact of commuting time, exercise, and stress on people. There are few studies regarding the impact of the combined effect of multiple factors on special populations such as obese people. As obesity has become increasingly widespread in China, we studied the impact of commuting time on work stress on Chinese obese men (who exercise regularly vs. who exercise irregularly). We performed a secondary retrospective analysis of the cross-sectional data from the 2014 China Labor Force Dynamics Survey. We found that long commute times and less exercise have a positive effect on the increase in stress, but the effect is less evident for people who exercise regularly. Commuters traveling on foot are more stressed than those traveling by car. This study also found that commuting time had a significant impact on the perceived work stress of obese men who exercised irregularly. But the relationship between commuting time and work stress was different among groups with different commuting styles. For obese men who commuted on foot or motorcycle, commuting time had a significant impact on their job stress. However, for obese men who commuted by bicycle, bus, or car, commuting time had no significant effect on job stress. Additionally, active and passive commuting have different effects on stress. Active commuters tend to be more stressed, while passive commuters do not show a significant impact.

The relationship between working hours and lifestyle behaviors: Evidence from a population-based panel study in Korea

OBJECTIVES

This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.

METHODS

We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (<40, 40, 41-52, and >52) were calculated, using generalized estimating equation models considering repeated measures.

RESULTS

Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.

CONCLUSION

Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep.

Work participation and physicality of work in young adulthood and the development of unhealthy lifestyle habits and obesity later in life: a prospective cohort study

OBJECTIVE

To determine the effects of early entry into the labour market and physicality of work in young adulthood on the development of obesity and unhealthy lifestyle habits later in life.

METHODS

This study is a part of the Young Finns Study. Entry into the labour market and physicality of work were measured at baseline, when participants were aged 18, 21, or 24 years in 1986 or 18 years in 1989. Follow-up of lifestyle habits were conducted in 2001, 2007 and 2011. The outcomes were obesity (n=5558 observations), abdominal obesity (n=4060 observations), daily smoking (n=5628) and leisure time physical activity (n=5946) and analysed with generalised estimating equation.

RESULTS

Compared with sedentary work, physicality of work in young adulthood increased the odds of future obesity (adjusted OR=1.32, 95% CI 1.01 to 1.74 for light/moderate work and OR=1.44, 95% CI 0.99 to 2.08 for heavy manual work (particularly in women OR=2.03, 95% CI 1.07 to 3.84)) and future smoking (OR=1.79, 95% CI 1.39 to 2.30 for light/moderate work and OR=2.01, 95% CI 1.47 to 2.76 for heavy manual work (particularly in women OR=2.81, 95% CI 1.60 to 4.91)). For those who entered the labour market at ages 18-21 or younger, the odds of smoking was 1.85 times (95% CI 1.26 to 2.73) and that of obesity 1.45 times (95% CI 1.01 to 2.10) higher, and the rate of leisure time physical activity was 0.73 times (95% CI 0.58 to 0.93) lower compared with those who entered the labour market at ages 22-24 years.

CONCLUSION

Early entry into the labour market and physicality of work in young adulthood shape the development of obesity and unhealthy behaviours in later adulthood.

Changes in work factors and concurrent changes in leisure time physical activity: a 12-year longitudinal analysis

OBJECTIVES

There is a paucity of longitudinal population-based studies examining whether changes in work factors are associated with concurrent changes in leisure time physical activity (LTPA). This study examines this issue using 12 years of longitudinal survey data.

METHODS

Data were drawn from the Canadian National Population Health Survey. The initial analytical sample in 1994 of 6407 working individuals was followed every 2 years from 2000 to 2010. Seven work factors were measured as independent variables: skill discretion, decision authority, psychological demands, physical exertion, number of jobs, hours at work and shift schedule. LTPA was categorised as inactive, moderately active or active based on metabolic equivalent task values. Fixed-effects multinomial logistic models were used to examine associations between work factors and LTPA controlling for time-invariant effects and adjusted for covariates.

RESULTS

Workers with lower skill discretion (OR=0.96; 95% CI 0.92 to 0.99), higher psychological demands (OR=0.95; 95% CI 0.92 to 0.99), higher physical exertion (OR=0.93; 95% CI 0.88 to 0.99) and longer work hours (OR=0.97; 95% CI 0.95 to 098) were associated with a lower odds of transitioning from inactive to active and moderately active. There was no evidence of effect modification by age or sex.

CONCLUSION

Results suggest that as participants' skill discretion decreased, and their physical and psychological demands, and work hours increased, their likelihood of becoming more active and moderately active also decreased, supporting the value of targeting improvements in these work factors for physical activity interventions.

Commuting time to work and behaviour-related health: a fixed-effect analysis

Objectives

Long commuting times are linked to poor health outcomes, but the evidence is mainly cross-sectional. We examined longitudinal within-individual associations between commuting time and behaviour-related health.

Methods

Data were from the Swedish Longitudinal Occupational Survey of Health study. We selected workers who responded to a minimum of two surveys conducted every other year between 2008 and 2018. We included all study waves with self-reported commuting time (ie, the exposure, 1–5, 6–10, 11–15 or ≥15 hours/week), body mass index (based on weight and height), physical (in)activity, smoking, alcohol use and sleep problems (ie, the outcomes) (N_individuals=20 376, N_observations=46 169). We used conditional logistic regression for fixed effects analyses that controls for time-varying confounders by design. Analyses were stratified by working hours: normal (30–40 hours/week) or longer than normal (>40 hours/week) and adjusted for time dependent covariates: age, marital status, occupational position, presence of children, chronic disease, depressive symptoms, job strain and shift work.

Results

Those working >40 hours/week had higher odds of physical inactivity (OR 1.25, 95% CI 1.03 to 1.51) and sleep problems (OR 1.16, 95% CI 1.00 to 1.35) when they were commuting >5 hours/week than when they were commuting 1–5 hours/week. Among women working normal hours, longer commuting time associated with lower odds of problem drinking.

Conclusion

Our findings suggest that lengthy commuting time increases the risk of physical inactivity and sleep problems if individuals have longer than normal weekly working hours. Effects of work arrangements that decrease commuting time should be examined in relation to health behaviours.

Different associations of routine work time with exercise behavior and objectively measured physical activity among middle-aged and older adults: a daily and longitudinal analysis

This study examined whether routine work time was associated with exercise time, moderate-to-vigorous physical activity (MVPA), and step counts (SC) among middle-aged and older adults. A 7-day diary survey was conducted with 158 adults, and 138 participated in the 1-year follow-up survey for measuring routine work time and exercise time. An accelerometer was used to measure MVPA and SC, and a questionnaire assessed perceived barriers and self-efficacy. Daily analyses revealed that while longer routine work time was associated with shorter exercise time after adjusting for perceived exercise barriers and exercise self-efficacy, it was associated with higher amounts of MVPA and SC. Longitudinal analysis showed that increased routine work time was associated with decreased exercise time and increased MVPA and SC. Changes in perceived barriers and self-efficacy did not mediate these associations. Actual lack of time would inhibit exercise behavior independently of perceived barriers and self-efficacy but elevates MVPA and SC.

Sexual identity, same-same relationships, and health dynamics: New evidence from Australia

Prior research has found that opposite-sex marital and cohabiting relationships are associated with improvements in health. However, studies examining the health dynamics of same-sex relationships are sparser because few nationally representative longitudinal datasets collect information on adults' sexual identity. Using newly available data on sexual minorities from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, we estimate the effects of Lesbian/Gay/Bisexual (LGB) identification and same-sex relationships on health dynamics. We document two key findings. First, sexual minorities in Australia are more likely to engage in risky health behaviors and report worse health than their heterosexual counterparts. Second, after exploiting the longitudinal nature of the HILDA and accounting for selection into relationships using the dynamic panel approach of Kohn and Averett (2014), we find that while opposite-sex partnerships are associated with a 3 to 7 percentage-point decline in risky health behaviors and improved physical and mental health, the health benefits of same-sex relationships are weaker, particularly for men.

Long working hours and cancer risk: a multi-cohort study

BACKGROUND

Working longer than the maximum recommended hours is associated with an increased risk of cardiovascular disease, but the relationship of excess working hours with incident cancer is unclear.

METHODS

This multi-cohort study examined the association between working hours and cancer risk in 116 462 men and women who were free of cancer at baseline. Incident cancers were ascertained from national cancer, hospitalisation and death registers; weekly working hours were self-reported.

RESULTS

During median follow-up of 10.8 years, 4371 participants developed cancer (n colorectal cancer: 393; n lung cancer: 247; n breast cancer: 833; and n prostate cancer: 534). We found no clear evidence for an association between working hours and the overall cancer risk. Working hours were also unrelated the risk of incident colorectal, lung or prostate cancers. Working ⩾55 h per week was associated with 1.60-fold (95% confidence interval 1.12-2.29) increase in female breast cancer risk independently of age, socioeconomic position, shift- and night-time work and lifestyle factors, but this observation may have been influenced by residual confounding from parity.

CONCLUSIONS

Our findings suggest that working long hours is unrelated to the overall cancer risk or the risk of lung, colorectal or prostate cancers. The observed association with breast cancer would warrant further research.

Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements

This study examined the relationship between income and physical activity by using three measures to illustrate daily physical activity: the self-reported physical activity index for leisure-time physical activity, pedometer-based total steps for overall daily physical activity, and pedometer-based aerobic steps that reflect continuous steps for more than 10 min at a time. The study population consisted of 753 adults from Finland (mean age 41.7 years; 64% women) who participated in 2011 in the follow-up of the ongoing Young Finns study. Ordinary least squares models were used to evaluate the associations between income and physical activity. The consistency of the results was explored by using register-based income information from Statistics Finland, employing the instrumental variable approach, and dividing the pedometer-based physical activity according to weekdays and weekend days. The results indicated that higher income was associated with higher self-reported physical activity for both genders. The results were robust to the inclusion of the control variables and the use of register-based income information. However, the pedometer-based results were gender-specific and depended on the measurement day (weekday vs. weekend day). In more detail, the association was positive for women and negative or non-existing for men. According to the measurement day, among women, income was positively associated with aerobic steps despite the measurement day and with totals steps measured on the weekend. Among men, income was negatively associated with aerobic steps measured on weekdays. The results indicate that there is an association between income and physical activity, but the association is gender-specific and depends on the measurement type of physical activity.