Relationship between various physical activity domains and self-perceived health and obesity in women

The purpose of this study was to determine the relationship between self-perceived health and obesity and recreational, occupational, commuting, and total physical activity in women. The sample included 956 Estonian women aged 18-50. Cross-sectional data were collected in the Estonian Women Physical Activity Study via a mail-out survey in 2008 using the Global Physical Activity Questionnaire and self-reported measures of health indicators. The associations between physical activity and health indicators were examined using multiple logistic regression and were adjusted for potential confounding factors (age, education, and income). The women in the highest occupational physical activity group were significantly less likely to have good health (OR 0.51; CI 0.33-0.77) compared to women with no occupational physical activity. A significant association was observed, however, between being in the highest recreational physical activity group and having better self-perceived health (OR = 2.09, 95% CI 1.36-3.21) and not being obese (BMI ≥ 30) (OR = 0.42, 95% CI 0.21-0.86). A higher total amount of physical activity was not related to better health status or obesity. These findings suggest that the specific domains of physical activity may be more important for self-perceived health and obesity among women than the total amount of physical activity.     

Case-control study of lifetime total physical activity and prostate cancer risk

A population-based case-control study of physical activity and prostate cancer risk was conducted in Alberta, Canada, between 1997 and 2000. A total of 988 incident, histologically confirmed cases of stage T2 or greater prostate cancer were frequency matched to 1,063 population controls. The Lifetime Total Physical Activity Questionnaire was used to measure occupational, household, and recreational activity levels from childhood until diagnosis. Multivariable logistic regression analyses were conducted. No association for total lifetime physical activity and prostate cancer risk was found (odds ratio (OR) for > or =203 vs. <115 metabolic equivalent-hours/week/year=0.87, 95% confidence interval (CI): 0.65, 1.17). By type of activity, the risks were decreased for occupational (OR=0.90, 95% CI: 0.66, 1.22) and recreational (OR=0.80, 95% CI: 0.61, 1.05) activity but were increased for household (OR=1.36, 95% CI: 1.05, 1.76) activity when comparing the highest and lowest quartiles. For activity performed at different age periods throughout life, activity done during the first 18 years of life (OR=0.78, 95% CI: 0.59, 1.04) decreased risk. When activity was examined by intensity of activity (i.e., low, <3; moderate, 3-6; and vigorous, >6 metabolic equivalents), vigorous activity decreased prostate cancer risk (OR=0.70, 95% CI: 0.54, 0.92). This study provides inconsistent evidence for the association between physical activity and prostate cancer risk.     

Physical activity patterns in a diverse population of women

BACKGROUND: Demographic and psychosocial correlates of activity in domains other than recreational activity have not been well characterized and may be particularly relevant for health promotion efforts aimed at women. METHODS: Cross-sectional relationships between recreational, occupational, and household/caregiving physical activity and demographic and psychosocial factors were assessed with a mail survey in a random sample of 2,636 ethnically diverse women members of a large health maintenance organization, ages 20-65. Activity was assessed with a modified Baecke questionnaire that uses categorical responses regarding frequency of domain-specific activities to create four semicontinuous activity indices (sports/exercise, active living, occupational, household/caregiving). RESULTS: Multivariable logistic regression analysis showed that the likelihood of being in the highest quartile of the sports/exercise and active-living indices, compared with the other three quartiles, was decreased among older, nonwhite, less well educated, heavier women who had young children at home, lacked motivation to exercise, and perceived external obstacles to exercise behavior. The odds ratios (ORs) ranged from 0.38, 95% confidence interval (CI) 0.33-0.45, associated with low motivation, to 0.95, 95% CI 0.93-0.98, associated with increasing body mass index. Social support and confidence in one's ability to continue to exercise, even when faced with other pressures and demands (termed self-efficacy), were associated with increased likelihood of high levels of sports/exercise and active living (OR = 2.34, 95% CI 1. 83-2.98 and OR = 3.96, 95% CI 2.92-5.38, respectively). In contrast, the highest quartile of household/caregiving activity was positively associated with increasing age (OR = 1.28, 95% CI 1.16-1.42), Hispanic ethnicity (OR = 1.58, 95% CI 0.55-1.01), being married (OR = 1.70, 95% CI 1.33-2.18), having young children at home (OR = 6.99, 95% CI 4.33-11), and greater time constraints as a barrier to exercise (OR = 1.55, 95% CI 1.38-1.74) and was negatively associated with employment (OR = 0.38, 95% CI 0.30-0.47). Increased likelihood of the highest quartile of occupational activity was associated with high school education or less (OR = 2.26, 95% CI 1.74-2.94) and current smoking (OR = 1.66, 95% CI 1.23-2.23), while self-efficacy regarding exercise was associated with decreased likelihood (OR = 0. 77, 95% CI 0.61-0.96). CONCLUSIONS: These findings suggest that demographic and psychosocial correlates of physical activity vary by domain and that initiatives to promote physical activity in the population need to take these differences into account.     

Case-control study of lifetime physical activity and breast cancer risk

A population-based case-control study of 1,233 incident breast cancer cases and 1,237 controls was conducted in Alberta, Canada, in 1995-1997 to examine the effect of lifetime physical activity patterns on breast cancer risk. No associations between physical activity and breast cancer were found for premenopausal women. For postmenopausal women in the highest quartile (> or =161 metabolic equivalent (MET)-hours/week per year) versus the lowest quartile (<104.8 MET-hours/week per year) of lifetime total physical activity, the adjusted odds ratio was 0.70 (95% confidence interval (CI): 0.52, 0.94). When the risks associated with each type of activity were examined for postmenopausal women, household and occupational activity conferred the largest risk reductions (odds ratio (OR) = 0.57, 95% CI: 0.41, 0.79 and OR = 0.59, 95% CI: 0.44, 0.81, respectively, for highest vs. lowest quartiles of activity), while recreational activity was not associated with any risk reductions. For postmenopausal women, the authors found stronger risk reductions for those who were also nonsmokers (OR = 0.64, 95% CI: 0.46, 0.88), non-alcohol-drinkers (OR = 0.39, 95% CI: 0.11, 0.77), or nulliparous (OR = 0.22, 95% CI: 0.07, 0.70) when they compared the highest with the lowest quartile of lifetime total physical activity. This study provides evidence that lifetime total activity reduces risk of postmenopausal breast cancer.     

孕妇在不同孕期的身体活动水平及其影响因素

  目的  了解我国孕妇在不同孕期的身体活动水平,分析持续身体活动不足的影响因素。  方法  本研究以中国孕产妇队列研究·协和(Chinese Pregnant Women Cohort Study, CPWCS)项目中完成孕早期、孕中期、孕晚期随访的孕妇为研究对象。通过基线调查获取孕妇的一般信息,通过国际体育活动问卷对孕妇在三个孕期的身体活动水平进行评估。采用多因素Logistic回归分析模型分析孕期持续身体活动不足的危险因素。  结果  共计2 920名孕妇纳入研究,其中仅1 057名(36.2%)孕妇在三个孕期都达到了身体活动充足,有267名(9.1%)孕妇在三个孕期都处于低水平身体活动,即持续身体活动不足。Logistic回归分析模型分析结果显示:孕前肥胖(OR=1.985, 95% CI: 1.078~3.654, P=0.028)、家庭成员数>2人(OR=1.544, 95% CI: 1.122~2.123, P=0.008)和怀孕前吸烟(OR=2.395, 95% CI: 1.309~4.382, P=0.005)的孕妇更容易出现持续身体活动不足。  结论  我国孕期妇女的身体活动水平不足。应针对不同人群提供个性化的身体活动指导,发挥家庭成员对孕妇积极进行身体活动的支持作用,以帮助孕妇在怀孕期间安全有效地进行身体活动,促进孕妇和胎儿的健康。     

Physical activity levels in adults living in Bogotá (Colombia): prevalence and associated factors

OBJECTIVE: To determine the prevalence of physical activity levels in adults aged 18 to 65 years in Bogotá city and identify the factors associated with regular physical activity. METHODS: We conducted a population-based, cross-sectional survey in 3,000 adult residents of Bogotá in 2003 who were selected through a multistage probabilistic sample. Physical activity levels were determined using the short version of the International Physical Activity Questionnaire. Factors associated with regular physical activity were identified by logistic regression models. RESULTS: The adjusted prevalence of persons undertaking regular physical activity was 36.8%. After adjustment for potential confounders, regular physical activity was more likely in men (odds ratio [OR] = 1.62; 95% CI, 1.31-2.01) and in those whose self-perceived health status was good or very good (OR = 1.87; 95% CI, 1.41-2.49) and was less likely in those aged 30-49 years or 50-65 years (OR = 0.78; 95% CI, 0.63-0.96, and OR = 0.60; 95% CI, 0.43-0.82, respectively) and in those whose main activity in the previous 30 days was searching for a job (OR = 0.71; 95% CI, 0.51-0.97) or carrying out household tasks (OR = 0.72; 95% CI, 0.54-0.96). In women, unlike men, age groups showed no association with regular physical activity. CONCLUSION: This study shows gender differences in the prevalence of physical activity levels and associated factors. Future studies should establish, in the context of Latin American cities, whether it is appropriate to determine specific measures in each domain, in addition to overall physical activity levels.     

体力活动与女性乳腺癌发病关系的病例对照研究

目的 探讨体力活动与乳腺癌发病的关系。方法 采用以医院为基础的病例对照研究,调查某大学2所附属医院2012年4月~2014年12月间确诊的25～70岁549例乳腺癌患者和同期同医院就诊的549例非肿瘤患者的体力活动情况和相关危险因素。采用非条件Logistic回归模型分析体力活动与乳腺癌发病的关系。结果 校正各种混杂因素后,非职业性体力活动与乳腺癌发病风险降低有关（OR=0.69,95% CI:0.48～1.00）;与不参加体育活动者相比,参加体育活动对乳腺癌发病有保护作用（OR=0.61,95% CI:0.43～0.87）;与久坐不动的职业相比,轻度职业活动对乳腺癌发病有保护作用（OR=0.67,95% CI:0.47～0.97）,而家务活动与乳腺癌发病风险无关。不同雌激素受体（estrogen receptor,ER）和孕激素受体（progesterone receptor,PR）状态的亚组分析中,非职业性体力活动与ER+/PR+乳腺癌的发病风险降低有关。结论 非职业性体力活动、体育活动和轻度职业活动对女性乳腺癌有保护作用。     

Education,income, occupational status and health risk behaviour

Aim Socio-economic status is associated with a variety of health-related behaviours. In our study, we determined the independent effects of income, educational attainment and occupational status on overweight, smoking and physical activity in the German population. Subjects and methods The German National Health Interview and Examination Survey is a representative sample of the German adult population and includes 7,124 men and women. Prevalences of obesity, smoking and physical inactivity stratified for education, income and occupational status were calculated. Multiple logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for education, income, occupational status and health-related behaviour, adjusted for age and gender. Results Health risk behaviours were more prevalent in subjects with lower education, income or occupational status. After mutual adjustment, education, income and occupation were independently associated with physical inactivity. Low education was strongly associated with both obesity (OR: 2.58, 95% CI: 1.99–3.34) and smoking (OR: 2.09, 95% CI: 1.71–2.54). Low income was associated with smoking (OR: 1.40, 95% CI: 1.07–1.83), but not with obesity, and low occupational status was associated with obesity (OR: 1.42, 95% CI: 1.05–1.92), but not with smoking. High income or occupation could not compensate for the impact of low education on obesity and smoking. Conclusion Low socio-economic status is associated with health risk behaviours. Concerning obesity and smoking, education was more important than income or occupational status. Public health programmes to reduce these risk factors should focus on early-life health education.     

Self-reported leisure time physical activity: a useful assessment tool in everyday health care

ABSTRACT: BACKGROUND: The individual physical activity level is an independent risk factor for cardiovascular disease and death, as well as a possible target for improving health outcome. However, today[ACUTE ACCENT]s widely adopted risk score charts, typically do not include the level of physical activity. There is a need for a simple risk assessment tool, which includes a reliable assessment of the level of physical activity. The aim of this study was therefore, to analyse the association between the self-reported levels of physical activity, according to the Saltin-Grimby Physical Activity Level Scale (SGPALS) questionnaire, and cardiovascular risk factors, specifically focusing on the group of individuals with the lowest level of self-reported PA. METHODS: We used cross sectional data from the Intergene study, a random sample of inhabitants from the western part of Sweden, totalling 3588 (1685 men and 1903 women, mean age 52 and 51). Metabolic measurements, including serum-cholesterol, serum-triglycerides, fasting plasma-glucose, waist circumference, blood pressure and resting heart rate, as well as smoking and self-reported stress were related to the self-reported physical activity level, according to the modernized version of the SGPALS 4-level scale. RESULTS: There was a strong negative association between the self-reported physical activity level, and smoking, weight, waist circumference, resting heart rate, as well as to the levels of fasting plasma-glucose, serum-triglycerides, low-density lipoproteins (LDL), and self-reported stress and a positive association with the levels of high-density lipoproteins (HDL). The individuals reporting the lowest level of PA (SGPALS, level 1) had the highest odds-ratios (OR) for having pre-defined levels of abnormal risk factors, such as being overweight (men OR 2.19, 95% CI: 1.51-3.19; women OR 2.57, 95 % CI: 1.78-3.73), having an increased waist circumference (men OR 3.76, 95 % CI: 2.61-5.43; women OR 2.91, 95% CI: 1.94-4.35) and for reporting stress (men OR 3.59, 95 % CI: 2.34-5.49; women OR 1.25, 95% CI: 0.79-1.98), compared to the most active individuals, but also showed increased OR for most other risk factors analyzed above. CONCLUSION: The self-reported PA-level according to the modernized Saltin-Grimby Physical Activity Level Scale, SGPALS, is associated with the presence of many cardiovascular risk factors, with the most inactive individuals having the highest risk factor profile, including self-reported stress. We propose that the present SGPALS may be used as an additional, simple tool in a routine risk assessment in e.g. primary care, to identify inactive individuals, with a higher risk profile.     

Physical activity, obesity, energy intake, and the risk of non-Hodgkin's lymphoma: a population-based case-control study

The authors conducted a population-based case-control study of 1,030 cases with histologically confirmed, incident non-Hodgkin's lymphoma (NHL) and 3,106 controls to assess the impact of recreational physical activity, obesity, and energy intake on NHL risk in Canada from 1994 to 1997. Compared with those for subjects in the lowest quartiles of total recreational physical activity, multivariable-adjusted odds ratios for subjects in the highest quartile were 0.79 (95% confidence interval (CI): 0.59, 1.05) for men and 0.59 (95% CI: 0.42, 0.81) for women. Obesity (body mass index > or = 30 kg/m2) was associated with odds ratios of 1.59 (95% CI: 1.18, 2.12) for men and 1.36 (95% CI: 1.00, 1.84) for women. For men and women with a lifetime maximum body mass index of > or = 30 kg/m2, respective odds ratios were 1.55 (95% CI: 1.16, 2.06) and 1.10 (95% CI: 0.83, 1.46). For men and women in the highest quartiles of calorie intake, respective odds ratios were 1.95 (95% CI: 1.45, 2.62) and 1.13 (95% CI: 0.84, 1.52). Some differences were found between histologic subtypes of NHL for these associations. This study suggests that recreational physical activity decreases NHL risk, while obesity and excess calorie intake increase it. More studies are needed to confirm these results, especially the differences between histologic subtypes.     

The Association Between Physical Activity and Maternal and Neonatal Outcomes: A Prospective Cohort

Some evidence, but not enough to be conclusive, suggests that physical activity in pregnancy reduces the risk of perinatal complications. Our objective was to examine if physical activity in the year before pregnancy and in the first half of pregnancy is associated with maternal and neonatal outcomes. Associations between physical activity and maternal and neonatal outcomes were examined in a prospective cohort (n = 1,749) in Halifax, Canada. The Kaiser Physical Activity Survey, completed at approximately 20 weeks’ gestation, requested information regarding physical activity during the year before the pregnancy and the first 20 weeks of pregnancy. Outcomes were assessed by medical chart review. Multiple logistic regression was used to estimate odds ratios (OR) with 95 % confidence intervals (CI). Women with prepregnancy physical activity levels in the middle and highest tertiles were more likely to have high gestational weight gain relative to women in the lowest tertile [OR (CI): 1.40 (1.06–1.85) and 1.57 (1.18–2.09), respectively]. Higher physical activity in the first half of pregnancy decreased the odds of delivering a macrosomic infant (p trend = 0.005). Associations were not observed between total physical activity and gestational diabetes, gestational hypertension, pre-eclampsia, preterm birth, and low birth weight. Physical activity before, but not in the first half of pregnancy, is associated with high gestational weight gain. Physical activity in the first half of pregnancy may reduce the occurrence of macrosomia without affecting preterm birth or low birth weight.     

广东省成年居民体力活动状况及其影响因素分析

目的了解广东省成年居民体力活动状况以及影响因素,为预防控制工作提供参考依据。方法采用多阶段分层整群抽样方法抽取全省21个监测县（区、市）的居民作为调查对象,使用世界卫生组织推荐的“全球体力活动问卷”（Global Physical Activity Questionnaire,简称GPAQ）,进行面对面横断面调查,调查内容包括职业性、交通性、休闲性体力活动情况及其社会经济状况、吸烟、饮酒情况以及高血压、糖尿病、肥胖患病等相关情况,对活动情况进行描述性分析．并对居民体力活动不足的影响因素进行logistic回归分析。结果共调查广东省15～69岁居民6174人,男性2938人,女性3236人：其体力活动高、中、低水平分别占50．5％、26．1％和23．4％,其中农村居民高水平身体活动占的比例（57．9％）高于城市的（38．7％）（P〈0．01）。职业性活动、交通性活动、休闲性活动能量代谢当量（METs）占总活动METs的比例分别是77．3％、17．6％和5．1％,其中农村职业性活动METs占总活动METs的比重（81．8％）高于城市的（64．7％）（P〈0．01）。多因素logistic回归分析结果表明,性别、年龄、文化程度、职业、BMI以及向心性肥胖是体力活动不足的主要影响因素,其中男性相时于女性、65～69岁人群相对于15—24岁年龄组、向心性肥胖人群相对于无向心性肥胖人群的体力活动不足的比例较大（OR值分别为2．27、1．66、1．28）;相对于农林牧渔人群来说,其他职业人群（OR=1．42～2．81）体力活动不足的比例较大;初中、高中人群相对于文盲／半文盲人群来说,体力活动不足的比例较大（OR=1．35～1．54）。结论广东省居民体力活动以高水平占的比例较大,但活动来源以职业性活动为主,休闲性体力活动占的比重低,需提高休闲性体力活动在总体力活动中的比例,降低农村高强度职业体力活动水平;不同地区、性别、职业人群体力活动模式有较大的差别,农村、男性、老年人以及向心性肥胖人群是干预的重点。     

Comparative influence of self-efficacy, social support and perceived barriers on low physical activity development in patients with type 2 diabetes, hypertension or stroke

Background

Type 2 Diabetes, hypertension and stroke are strongly linked, and patients with any of these disorders are usually advised to be physically active based on existing evidence. However, different psychosocial constructs are found in separate settings to influence the physical activity levels of these different groups of patients. Hence, there is a need to establish the most important of the constructs to influence low physical activity in these groups of patients from Nigeria.

Methods

This cross-sectional study included 509 participants aged 35–80 years from randomly selected health facilities in South-western Nigeria. Physical activity level, self-efficacy, social support and perceived barriers of the participants were assessed using the International Physical Activity Questionnaire, Exercise Self-Efficacy Scale, Medical Outcomes Social Support Scale and Exercise Benefits and Barrier Scale, respectively.

Results

The odds of having low physical activity was highest in those with low social support for Type 2 Diabetes (OR=3.95, 95% CI=3.13–5.24), stroke (OR=2.72, 95% CI=1.98–3.91) and mixed disorders (OR=1.59, 95% CI=1.19–3.15) while high perceived barriers was associated with the highest odds (OR=1.79, 95% CI=1.23–2.87) for low physical activity in hypertensive participants.

Conclusions

Low social support had the highest influence in establishing low physical activity in patients with Type 2 Diabetes, stroke and those with mixed disorders and the amount of influence was highest in those with Type 2 Diabetes. Psychosocial constructs should be considered by giving priority to social support when prescribing physical activity especially for patients with Type 2 Diabetes, stroke and those with mixed disorders.     

Ethnicity and Self-Perceived Oral Health in Colombia: A Cross-Sectional Analysis

To estimate the association between self-perceived oral health indicators and ethnic origin in Colombia, a cross-sectional study (Information from the 2007 National Public Health Survey) was conducted. Variables: belonging to an ethnic group (Exposure); oral health indicators (Outcomes); sex, age, education and self-rated health (control). Analyses were carried out separately for men (M) and women (W). The association between the exposure variable and the outcomes was estimated by means of adjusted odds ratio (OR) with confidence intervals (95 % CI) using logistic regression. Men were more likely to report gum bleeding (aOR 1.78; 95 % CI 1.44–2.23) and dental caries (aOR 1.69; 95 % CI 1.42–2.02), while women were more likely to report unmet dental needs (aOR 1.43; 95 % CI 1.27–1.49) and dental caries (aOR 1.34; 95 % CI 1.22–1.47). Indigenous and Palenquero were more likely to report most of the indicators analyzed. Minority ethnic groups in Colombia were at risk to report oral health problems.     

The relationships between indicators of physical activity, indicators of sedentary behaviour and adiposity in French adults: the FLVS II study

Increasing habitual physical activity and decreasing sedentary behaviour have both been identified as targets for the prevention of unhealthy weight gain and obesity. To improve health monitoring in the context of nutrition-related disease prevention, there is a need to better define relevant indicators of sedentary behaviour. The aim of this study was to investigate the relationships between indicators of physical activity, indicators of sedentary behaviour and body fat in French adults. We analysed cross-sectional data from a community-based survey in northern France (213 men, age: 44±5 years; 192 women, age: 42±4 years; mean±SD). Physical activity and sedentary behaviour during the past year were assessed using the Modifiable Activity Questionnaire. Indicators of physical activity were leisure-time and occupational physical activity, indicators of sedentary behaviour during leisure were reading and “screen viewing” (including time spent watching television/video, playing video games, and using a computer). Body-fat percentage was assessed using bio-impedance analysis. In univariate analysis (Spearman rank correlations), reading and screen viewing were not significantly correlated; reading was positively associated with leisure-time physical activity in women and negatively associated with occupational physical activity in men. In multivariate analyses (stepforward regression models) stratified by gender and educational level, independent predictors of percent body fat included, in women, screen viewing (positive association), occupational physical activity (positive association) and leisure-time activity (negative association), but not reading; in men, only reading was associated with percent body fat, with a negative relationship in those with a high educational level. Relationships between indicators of sedentary lifestyle and body fat differ according to gender and type of sedentary pasttime. The data emphasise that sedentary lifestyle represents a complex set of behaviours and that various sedentary behviours may have distinct effects with regard to health outcomes. These results point out the need to assess selected indicators of sedentary behaviour when considering health monitoring in public health nutrition.     

Occupational and leisure time physical activity and the risk of nonfatal acute myocardial infarction in Italy

PURPOSE: Physical activity has long been related to a reduced risk of coronary heart disease (CHD), including acute myocardial infarction (AMI). However, the quantitative estimates of the possible protective role of physical activity appear to vary across studies and populations. METHODS: A case-control study conducted in Italy between 1995 and 1999, including 507 incident cases below 79 years (378 men, 129 women) with a first episode of AMI, and 478 controls (297 men, 181 women) admitted to hospitals for acute conditions. RESULTS: Compared with the lowest level of occupational physical activity, the multivariate odds ratios (OR) of AMI for the highest level were 0.61 (95% confidence interval [CI], 0.38-0.97) at age 15 to 19 years, 0.57 (95% CI, 0.34-0.95) at age 30 to 39 years, and 0.51 (95% CI, 0.29-0.90) at age 50 to 59 years. The corresponding values for leisure time activity were 0.54 (95% CI, 0.38-0.77), 0.86 (95% CI, 0.57-1.30), and 1.00 (95% CI, 0.57-1.74), respectively. The association was consistent across strata of age, sex, education, smoking, and other selected covariates. CONCLUSIONS: The attributable risk for low occupational exercise at age 30 to 39 years was over 10%, indicating the scope for further intervention on this modifiable risk factor in this Italian population, particularly in consideration of the public health importance of CHD.     

The Association of Healthy Lifestyle Behaviors with Overweight and Obesity among Older Adults from 21 Countries

This study aimed to analyze the association of healthy lifestyle behaviors with overweight and obesity among Europeans aged 65+ years. Data were from the 2014 European Social Survey, analyzing 21 countries. Five lifestyle behaviors (physical activity, fruit and vegetable consumption, sleep quality, drinking alcohol, and smoking) were analyzed. Binary logistic regressions were performed. A total of 8938 participants (4099 men) 65 years and older, mean age—73.6 (SD: 6.6) presented prevalence of overweight of 42.3% (95% CI: 41.3 to 43.3) and obesity of 20.9% (95% CI: 20.1 to 21.8). Adopting five healthy behaviors was associated with lower odds of obesity (OR = 0.50, 95% CI: 0.39 to 0.63), but not overweight (OR: 0.93; 95% CI: 0.79 to 1.10). Physical activity (≥5 days/week) was the most protective behavior, reducing by 42% the odds of obesity. Sex moderated the association of fruits and vegetables consumption, alcohol use, and smoking with obesity. Strategies aiming to reduce obesity levels in older adults should focus on the promotion of multiple lifestyle health behaviors, particularly physical activity in order to decrease vulnerability risk in old age.     

Reliability and validity of the Past Year Total Physical Activity Questionnaire

The authors determined the validity and reliability of their Past Year Total Physical Activity Questionnaire (PYTPAQ), which assesses the frequency, duration, and intensity of occupational, household, and recreational activities performed over the past year. The PYTPAQ was completed twice at baseline, 9 weeks apart (on average), by 154 healthy Canadian men and women aged 35-65 years for assessment of reliability. The PYTPAQ was completed again 1 year later as a self-administered questionnaire. Four times during the year, participants wore an accelerometer for 7 days and completed 7-day physical activity logs. The authors assessed validity by comparing PYTPAQ summary values with 1-year averages of the physical activity logs and accelerometer data and with physical fitness and anthropometric data measured at baseline and 1 year. Spearman correlations for reliability (metabolic equivalent-hours/week) were 0.64 for total activity, 0.70 for occupational activity, 0.73 for recreational activity, and 0.65 for household activity. For total activity, the intraclass correlation coefficient for correlation between the PYTPAQ and the 7-day physical activity logs was 0.42 (95% confidence interval: 0.28, 0.54), and for the accelerometer data it was 0.18 (95% confidence interval: 0.03, 0.32). Spearman correlations between PYTPAQ hours/week of vigorous activity and maximal oxygen uptake were 0.37 and 0.32 at baseline and follow-up, respectively. In general, the PYTPAQ has acceptable reliability and validity for measurement of past-year physical activity that is comparable to that of similar questionnaires.     

Social Determinants of Physical Inactivity in the Northern Manhattan Study (NOMAS)

Physical inactivity is an important and modifiable cardiovascular disease risk factor. Little is known about the social determinants of physical inactivity in older, urban-dwelling populations. We collected socio-demographic and medical risk factor information and physical activity questionnaires in the Northern Manhattan Study. Logistic regression models were constructed to examine whether measures of social isolation, race-ethnicity, and sex were associated with physical inactivity. Physical inactivity was present in 40.5% of the cohort. In multivariable models adjusted for medical comorbidities, Hispanic race-ethnicity (compared to non-Hispanic white) was associated with higher odds of physical inactivity (OR 2.18, 95% CI 1.78, 2.67), while women were more likely to be inactive than men (OR 1.33, 95% CI 1.15, 1.54). Having Medicaid/being uninsured (OR 1.20, 95% CI 1.02, 1.42), and having fewer than 3 friends (1.41, 95% CI 1.15, 1.72) were also associated with physical inactivity. Physical inactivity is common, particularly in Hispanics, women, and those who are socially isolated. Public health interventions aimed at increasing physical activity in these more sedentary groups are required.     

Habitual physical activity and menopausal symptoms: a case-control study

A case-control study design was used to examine whether habitual physical activity prior to the final menstrual period (FMP) was associated with reduced risk of vasomotor and other symptoms during the perimenopausal period. Both cases and controls were identified through a screening interview with randomly selected women members, ages 48-52, of a large health maintenance organization. Cases (n = 82) were defined as women 3-12 months past their FMP who reported regularly having hot flashes or night sweats at least once a day or night during the 3 months following their FMP. Controls (n = 89) were of the same biologic age with respect to the FMP but reported vasomotor symptoms less than once a week during the reference time period. Neither cases nor controls had a history of hormone replacement therapy (HRT), hysterectomy, or bilateral oophorectomy. Case-control status, habitual physical activity (including recreational, housework, child care, and occupational activity), and psychological and somatic symptoms were assessed by self-report. Participation in vigorous recreational activity during the year prior to the FMP was not associated with reduced risk of frequent vasomotor symptoms after the FMP (odds ratio [OR] = 1.03 for a 50-unit increase in activity score, 95% confidence interval [CI] = 0.97-1.1). This lack of relationship was observed in all domains of activity. Factors that were associated with decreased risk included higher body mass index (BMI) (weight in kg/(height in meters)2) (OR = 0.95 per 1 unit increase in BMI, 95% CI = 0.90-1.00) and higher education (having a college degree relative to less education) (OR = 0.56, 95% CI = 0.40-0.80). Physical activity was also unassociated with reduced risk of psychologic distress, depressive feelings, or somatic symptoms, but, relative to controls, having vasomotor symptoms (being a case) was strongly associated with increased risk of experiencing those symptoms (OR ranging from 1.83 for psychologic distress to 2.84 for depressive feelings). These findings suggest that regular physical activity before the FMP may not reduce the likelihood of experiencing symptoms during the perimenopause, although the small sample size may limit the inferences that can be drawn.