scholarly journals Is lifestyle change around retirement associated with better physical performance in older age?: insights from a longitudinal cohort

2021 ◽  
Author(s):  
Sian M. Robinson ◽  
Leo D. Westbury ◽  
Kate Ward ◽  
Holly Syddall ◽  
Rachel Cooper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Physical Performance ◽  
Leisure Time Physical Activity ◽  
Lifestyle Change ◽  
Performance Outcomes ◽  
Older Age ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
The Impact

AbstractA growing evidence base links individual lifestyle factors to physical performance in older age, but much less is known about their combined effects, or the impact of lifestyle change. In a group of 937 participants from the MRC National Survey of Health and Development, we examined their number of lifestyle risk factors at 53 and 60–64 years in relation to their physical performance at 60–64, and the change in number of risk factors between these ages in relation to change in physical performance. At both assessments, information about lifestyle (physical activity, smoking, diet) was obtained via self-reports and height and weight were measured. Each participant’s number of lifestyle risk factors out of: obesity (body mass index ≥ 30 kg/m2); inactivity (no leisure time physical activity over previous month); current smoking; poor diet (diet quality score in bottom quarter of distribution) was determined at both ages. Physical performance: measured grip strength, chair rise and standing balance times at both ages and conditional change (independent of baseline) in physical performance outcomes from 53 to 60–64 were assessed. There were some changes in the pattern of lifestyle risk factors between assessments: 227 (24%) participants had fewer risk factors by age 60–64; 249 (27%) had more. Reductions in risk factors were associated with better physical performance at 60–64 and smaller declines over time (all p < 0.05); these associations were robust to adjustment. Strategies to support reduction in number of lifestyle risk factors around typical retirement age may have beneficial effects on physical performance in early older age.

scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 909
Author(s):  
Jana Jurkovičová ◽  
Katarína Hirošová ◽  
Diana Vondrová ◽  
Martin Samohýl ◽  
Zuzana Štefániková ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Skewed Distribution ◽  
Model Assessment ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure (BP), and resting heart rate were measured; fasting venous blood samples were analyzed; and homeostasis model assessment (HOMA)-insulin resistance (IR) was calculated. For statistical data processing, the methods of descriptive and analytical statistics for normal and skewed distribution of variables were used. The mean HOMA-IR was 2.45 ± 1.91, without a significant sex differences. IR (cut-off point for HOMA-IR = 3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for total cholesterol (TC) and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and cardiovascular disease (CVD).

Assessment of non-communicable disease related lifestyle risk factors among adult population in Bangladesh

2021 ◽  
pp. 1-21
Author(s):  
Md. Belal Hossain ◽  
Mahmood Parvez ◽  
Mir Raihanul Islam ◽  
Hala Evans ◽  
Sabuj Kanti Mistry
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smokeless Tobacco ◽  
Urban Areas ◽  
Salt Intake ◽  
Vegetable Consumption ◽  
Adult Population ◽  
Tobacco Consumption ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

Abstract Non-communicable diseases (NCDs), which can largely be prevented by controlling avoidable lifestyle-related risk factors, are rapidly penetrating the entire world, including developing countries. The present study aimed to assess NCD lifestyle risk factors among the adult population in Bangladesh. The data used in the study were collected as part of a population-based cross-sectional survey covering rural and urban areas of Bangladesh conducted in 2015–16 (N=11,982 adults aged ≥35 years). The lifestyle factors considered were diet (daily fruit and vegetable consumption and extra salt intake with meals), sleeping patterns, smoking, smokeless tobacco consumption, and physical activity. The study found that approximately 18.5% of participants had a non-daily consumption of fruit or vegetables, 46.6% used extra salt with their meals, 11.8% reported sleeping <7 hours daily, 25.7% smoked tobacco, 60.9% used smokeless tobacco and 69.7% were less physically active. The prevalence of improper lifestyle practices relevant to NCDs, such as an inadequate diet, poor sleeping pattern, tobacco consumption, and low physical activity, was significantly higher among older adults, women, the uneducated, the unemployed, urban dwellers, and people from rich households. The study found that NCD-related lifestyle characteristics were poorly compliant with standard guidelines among many adult populations in Bangladesh. The findings can inform preventative strategies to control the overwhelming NCD burden in Bangladesh, such as the promotion of physical exercise, healthy eating, and the cessation of the use of tobacco products.

scholarly journals The Impact of Retirement on Cardiovascular Disease and Its Risk Factors: A Systematic Review of Longitudinal Studies

2019 ◽  
Vol 60 (5) ◽  
pp. e367-e377 ◽  
Author(s):  
Baowen Xue ◽  
Jenny Head ◽  
Anne McMunn
Keyword(s):  
Physical Activity ◽  
United States ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Longitudinal Studies ◽  
Leisure Time Physical Activity ◽  
The United States ◽  
European Countries ◽  
Blood Biomarkers ◽  
The Impact

Abstract Background and Objectives People are now spending longer in retirement than ever before and retirement has been found to influence health. This study systematically reviewed the impact of retirement on cardiovascular disease (CVD) and its risk factors (metabolic risk factors, blood biomarkers, physical activity, smoking, drinking, and diet). Research Design and Methods Longitudinal studies published in Medline, Embase, Social Science Citation Index, PsycINFO, and Social Policy and Practice were searched. No language restrictions were applied if there was an English abstract. Eighty-two longitudinal studies were included after critical appraisals. Results Studies in the United States often found no significant effect of retirement on CVD, while studies in European countries, except France, showed a detrimental effect of retirement on CVD. Results from the United States and several European countries consistently show that retirement increase adiposity measures among those retired from physically demanding jobs. For diabetes and hypertension, five out of nine studies suggest no effect of retirement. Retirement has been repeatedly linked to increasing leisure-time physical activity but may reduce work- and transport-related physical activity in turn. Most studies showed that retirement either decreased smoking or had no effect on smoking. The evidence did not show a clear conclusion on drinking. Only a few studies have assessed the impact on diet and blood biomarkers. Discussion and Implications Effect of retirement varies according to the health outcomes studied and country of the study population. Policy concerning extending the retirement age needs to focus on ensuring they are suited to the individual.

scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2020 ◽  
Author(s):  
Jana Jurkovicova ◽  
Katarina Hirosova ◽  
Diana Vondrova ◽  
Martin Samohyl ◽  
Zuzana Stefanikova ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2,629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure, and resting heart rate were measured, fasting venous blood samples were analysed, and HOMA-IR was calculated. The mean HOMA-IR was 2.45&plusmn;1.91 without a significant intersexual difference. IR (cut-off point for HOMA-IR=3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for TC and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as the significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and CVD in adulthood.

Population-attributable risks for modifiable lifestyle factors and breast cancer in New Zealand women.

2013 ◽  
Vol 31 (26_suppl) ◽  
pp. 15-15 ◽  
Author(s):  
James Hayes
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
New Zealand ◽  
Alcohol Intake ◽  
High Alcohol ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
Modifiable Lifestyle Factors ◽  
High Alcohol Intake

15 Background: Breast cancer is an important cause of illness and death in New Zealand women. It is the most commonly registered cancer in women, and the second most common cause of cancer death in women. In 2009, 2,759 women were diagnosed with breast cancer and 658 women died from breast cancer. The incidence of breast cancer is projected to stabilise in New Zealand, but the actual number of women diagnosed with breast cancer will increase because of the increasing proportion of older people and increasing size of the population. Methods: Estimates of the magnitude of modifiable lifestyle risk factors for breast cancer (relative risks and odds ratios obtained from published epidemiological studies) and the prevalence of exposure in New Zealand were used to calculate the population attributable risk percent (PAR%) for each risk factor. The PAR%s show the relative importance of these risk factors, and give an indication of the potential impact of reducing the prevalence of these lifestyle risk factors on the incidence of breast cancer in New Zealand. Results: Six modifiable lifestyle factors were identified for breast cancer. These were obesity, lack of physical activity, high alcohol intake, oral contraceptive use, hormone replacement therapy (HRT), and delayed first birth. The PAR%s for these risk factors ranged from 1% for delayed first birth to 10% for obesity (16% for Maori women and 17% for Pacific women). Conclusions: The most important primary preventive strategies to reduce the risk of breast cancer in New Zealand are promoting lifestyle changes to reduce obesity, promoting regular physical activity (which may in turn reduce the prevalence of obesity), reducing HRT use, and avoiding high alcohol intake. A strategy to promote regular physical activity and reduce obesity could also have other benefits, such as reduced risks of cardiovascular disease and diabetes.

Abstract P259: Genetic Risk Score, Lifestyle Cardiovascular Risk Score, and Myocardial Infarction in Hispanics

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Mercedes Sotos-Prieto ◽  
Ana Baylin ◽  
Hannia Campos ◽  
Lu Qi ◽  
Josiemer Mattei
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Socioeconomic Status ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Lifestyle Risk Factors ◽  
Cardiovascular Risk Score ◽  
Lifestyle Risk

Background: A genetic risk score (GRS) and a lifestyle cardiovascular risk score (LCRS) have been independently associated with myocardial infarction (MI) in Hispanics. However, it is unknown if there is an interaction or a joint association between these scores. Objectives: To assess the interactive and joint associations between a GRS and a LCRS, as well as each individual lifestyle risk factor on the likelihood of MI. Methods: Data included 1534 Costa Rican adults with nonfatal acute MI and 1534 without MI participating in a case-control study. The GRS was calculated by summing the number of the top three MI-associated risk alleles. The LCRS was calculated using the estimated coefficients as weights for each lifestyle risk factors (diet, physical activity, smoking, waist:hip ratio, low or high alcohol intake, and low socioeconomic status). Conditional logistic regression was used to calculate odds ratios (OR), adjusting for age, sex, and area of residence (matching condition), and to test for interaction and joint association. Results: The multivariable OR for MI was 1.14 (95% CI 1.07, 1.22) per GRS unit and 2.72 (2.33, 3.91) per LCRS unit. Participants in the highest tertile of the GRS and highest tertile of the LCRS had higher odds of MI (5.43 [3.80, 7.76]) compared to those in the lowest category. A significant joint association was detected (p <0.0001), while the interaction term was non-significant (p=0.44). Similar results were found for the joint association between GRS and each individual lifestyle component: joint odds for highest risk category vs. lowest was 2.16 (1.53, 3.04) for diet, 1.85 (1.33, 2.59) for physical activity, 3.31 (2.45, 4.48) for smoking, 1.32 (0.92, 1.89) for alcohol, 2.84 (1.82, 4.42) for waist:hip ratio, and 1.86 (1.29, 2.69) for socioeconomic status. Conclusion: Although lifestyle risk factors and genetics contribute independently and in combination to the odds of MI, lifestyle risk factors were stronger among Costa Ricans. Efforts to improve lifestyle behaviors in this population, regardless of genetic susceptibility, may help prevent MI and related heart conditions.

Associations Between Physical Activity and Other Lifestyle Behaviors in Older New Zealanders

2007 ◽  
Vol 4 (4) ◽  
pp. 412-423 ◽  
Author(s):  
William Mummery ◽  
Gregory Kolt ◽  
Grant Schofield ◽  
Grant McLean
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Healthy Aging ◽  
Vegetable Consumption ◽  
Fruit And Vegetable Consumption ◽  
Activity Levels ◽  
Fruit And Vegetable ◽  
Lifestyle Risk Factors ◽  
Activity Measures ◽  
Lifestyle Risk

Background:Physical activity is a key component of healthy aging. We investigated the relationships between physical activity measures and lifestyle risk factors.Methods:Representative population data (N = 1894) of New Zealand adults aged 60 years and older were analysed to study the association between physical activity, smoking, overweight and fruit and vegetable consumption.Results:Activity prevalence of four activity measures were 18.3% inactive/sedentary; 67.6% some recreational walking; 30.7% some vigorous activity; and 51.4% regular physical activity. Females were more likely than males to be inactive and activity levels decreased across age groups. Activity displayed a negative association to smoking and being overweight or obese, and a positive association with fruit and vegetable consumption.Conclusion:Associations between lifestyle risk factors and physical activity indicate a need to address the issue of healthy aging by means of a multi-factorial approach.

The impact of heart health promotion on coronary heart disease lifestyle risk factors in schoolchildren

Public Health ◽  
1997 ◽  
Vol 111 (4) ◽  
pp. 231-237
Author(s):  
AP Baxter ◽  
PC Milner ◽  
S Hawkins ◽  
M Leaf ◽  
C Simpson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Heart Health ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
The Impact

scholarly journals Association of changes in lifestyle with changes in sleep difficulties: an analysis of 38 400 participants over a 16-year follow-up

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e050046
Author(s):  
Mikhail Saltychev ◽  
Juhani Juhola ◽  
Jenni Ervasti ◽  
Mika Kivimäki ◽  
Jaana Pentti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Sleep Quality ◽  
Repeated Measures ◽  
Fixed Effects ◽  
Heavy Drinking ◽  
Secondary Outcome ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
Sleep Difficulties

ObjectivesTo investigate the association between changes in lifestyle risk factors and changes is sleep difficulties.DesignLongitudinal repeated measures cohort study.SettingUniversity and national institute of occupational health.ParticipantsParticipants of the Finnish Public Sector study with information on sleep and lifestyle-related risk factors collected in five repeat surveys with 4‐year intervals from 2000 to 2017. The participants were those, who had responded at least twice and had a change in sleep difficulties (having sleep difficulties vs not) (142 969 observations from 38 400 respondents (mean age 45.5 (SD 9.2) years, 83% women).Primary and secondary outcome measuresChanges in sleep quality over time. Longitudinal fixed effects analysis, a method that accounts for time-invariant confounders by design, was used.ResultsAt first available response, sleep difficulties were experienced by 13 998 (36%) of the respondents. Respectively, the mean age was 44.3 (10.0) years, 7526 (20%) were obese, 13 487 (35%) reported low physical activity, 3338 (9%) extensively drinking and 6547 (17%) were smoking. Except for smoking, the changes in the studied modifiable risks were associated with changes in sleep difficulties. The ORs for having sleep difficulties were 1.41 (95% CI 1.35 to 1.48) for obesity, 1.10 (95% CI 1.06 to 1.13) for low physical activity and 1.43 (95% CI 1.35 to 1.51) for heavy drinking. For smoking, the association was negative with OR 0.81 (95% CI 0.76 to 0.86). Including all four modifiable risks into model changed the estimates only little.ConclusionsThe results of this longitudinal study suggest that changes in sleep quality are interconnected with changes in lifestyle.

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