Skip to main content
Download PDF

Joint association of physical activity and body weight with subsequent physical and mental functioning: a follow-up study

BMC Public Health volume 13, Article number: 197 (2013) Cite this article

Abstract

Background

Physical inactivity and overweight are major threats to public health. However, it is not well understood to what extent physical activity might counteract the harmful effects of overweight on functioning. Thus, we examined the joint associations of leisure-time physical activity and body mass index (BMI) with subsequent physical and mental functioning over a follow-up of five to seven years.

Methods

The data were derived from the Helsinki Health Study, which is a cohort study among employees of the City of Helsinki, Finland. The baseline postal survey data were collected among 40-60-year-old employees in 2000–02 (n = 8960, response rate 67%), and the follow-up data in 2007 among all baseline survey respondents (n = 7332, response rate 83%). We divided the participants into six groups according to their amount of physical activity (inactive, moderately active and highly active) and their relative weight (normal weight and overweight). Highly active normal-weight participants were used as a reference group in all the analyses. Poor functioning was defined as the lowest quartile of the Short Form 36 (SF-36) health survey’s physical and mental component summaries, with the follow-up cut-off point also applied at baseline. We used logistic regression analysis adjusted for age, gender, baseline functioning, smoking, alcohol use, marital status, socioeconomic position and working conditions.

Results

At baseline 48% of the participants were overweight and 11% were inactive. After adjustments inactivity was associated with poor physical functioning at follow-up both among the normal-weight (OR 1.51, 95% CI 1.09-2.10) and overweight (OR 2.02, 95% CI 1.56-2.63) groups. Being overweight regardless of activity level was associated with poor physical functioning. Poor physical functioning was practically equally common among the highly active overweight group and the inactive normal-weight group. After adjustments, for mental functioning, only inactivity among the overweight was associated with poor mental functioning (OR 1.39, 95% CI 1.08-1.80).

Conclusions

Physical activity is likely to be beneficial for physical and mental functioning among both those with overweight and normal weight. However, maintaining normal weight is also important for good physical functioning. Therefore, efforts should be made to recommend people to engage in physical activity regardless of weight.

Peer Review reports

Background

Physical inactivity and overweight are growing threats to public health in the developed countries. Previous studies have shown that physical inactivity increases the risk of coronary heart disease, type 2 diabetes, some cancers and mortality [1–3]. Similarly, overweight is associated with increased risk of these diseases and mortality [2, 4]. Studies have found that both physical inactivity [5, 6] and overweight [7, 8] contribute to poor physical functioning. Physical inactivity may also have adverse effects on mental functioning and contribute to mental health problems, such as depression [9–11], whereas the associations between overweight and mental health are equivocal [7, 12].

Studies on the impact of both physical activity and body weight on various determinants of health have typically assessed the effects of physical activity and weight separately [2, 3, 13–15]. A review on the joint associations of physical activity, fitness and fatness with mortality, morbidity and disease risks [16] found that high BMI even with high physical activity increases the risk factors for diabetes and cardiovascular disease compared with normal weight and low physical activity. Most studies on the joint association of physical activity and weight with functioning have been cross-sectional [17–21]. The controlled trials among these [17, 18], found that physical activity among the obese is associated with better functioning. A randomised controlled trial from the United States [22] showed that weight loss combined with regular physical activity may be beneficial for maintaining physical functioning. Previous prospective studies examining the joint association of physical activity and weight with functioning have focused on vigorous physical activity only, whereas the effects of low-intensity and moderate-intensity exercise are unknown [23, 24].

A few studies have assessed the association of physical activity and weight with mental functioning [17, 18, 20]. They have shown that physical activity may be beneficial for mental functioning, whereas the association of overweight with mental functioning is fractional. However, they are all limited because of cross-sectional designs or small sample sizes. We lack prospective large-scale studies of women and men, examining the joint association of body weight and physical activity, with subsequent physical and mental functioning.

The aim of this study was to examine the joint association of body weight and leisure-time physical activity with physical and mental functioning, among middle-aged women and men, over a follow-up of five to seven years. We also took into account baseline functioning and further covariates including smoking, alcohol use, socioeconomic position, employment status, marital status and physical and mental strenuousness of work. We expected that physical and mental functioning among highly active normal-weight and overweight participants would be better than that among less active normal-weight and overweight participants.

Methods

The data were derived from the Helsinki Health Study of employees of the City of Helsinki, Finland, aged 40, 45, 50, 55 or 60 years at baseline. The baseline postal survey data were collected in 2000–02 (n = 8960, response rate 67%), and the follow-up survey data in 2007 (n = 7332, response rate 83%) [25, 26]. Participants with missing information on physical activity (n = 64), height or weight (n = 45) and baseline or follow-up functioning (n = 439) were excluded. Those with a body mass index (BMI) 18.5 kg/m2 or less were also excluded (n = 64). The analyses included 6720 participants, of whom 81% were women. The proportion of non-responders, at both baseline and follow-up, was somewhat higher among men, younger age groups, lower occupational classes and those with long sickness absence [25]. Our sensitivity analyses showed that those with poor health outcomes were more likely to drop out during follow-up. Overall the data were representative of the target population, and the non-response or attrition is unlikely to bias the analyses of determinants of health outcomes substantially. The Helsinki Health Study was approved by the ethics committees of the Department of Public Health, University of Helsinki, and health authorities of the City of Helsinki, Finland.

Physical activity

The participants were asked about the average time per week that they had spent on leisure-time or commuting physical activity over the last 12 months. They were first asked to estimate the intensity of their physical activity according to four intensity grades: walking, brisk walking, jogging, and running, or activities equivalent to these. Then they were asked to estimate the average weekly time spent in each intensity grade. Approximate metabolic equivalent tasks (MET) were calculated on the basis of the volume of physical activity [27]. The average weekly MET hours of leisure-time physical activity were obtained by multiplying the weekly hours by the estimated MET value of each intensity grade, and then adding together the MET hours per week of the four different intensity grades. We grouped the participants into inactive, moderate and high physical activity groups. The inactive group did 7 MET hours per week or fewer, equivalent to 500 kilocalories (kcal) per week or fewer. It has been shown that an amount of physical activity less than the minimum recommendation of 2.5 hours of brisk walking per week (approximately 1000 kcal) [28] may be beneficial [5, 29]. The moderate activity group did 7–30 MET hours per week, which is approximately equal to 500–2000 kcal per week or three hours’ jogging per week or less. The high activity group did more than 30 MET hours per week, which is the recommended amount of physical activity for healthy weight maintenance [28].

Body mass index

Relative body weight was assessed by BMI calculated from self-reported weight (kg) divided by self-reported height in metres squared. Participants with BMI of 18.5-25 kg/m2 were categorized as normal-weight, and those with BMI of over 25 kg/m2 as overweight.

Physical and mental health functioning

Physical and mental health functioning were measured by the physical (PCS) and mental (MCS) component summaries of the Short Form 36 (SF-36) health questionnaire [30]. The SF-36 includes eight subscales: physical functioning, role limitations due to physical problems, bodily pain, general health perceptions, mental health, role limitations due to emotional problems, social functioning and vitality. These eight subscales were compressed into the two component summaries. Higher scores indicate better functioning [30]. The subscales are continuous the scores ranging from 0 to 100, with a mean of 50 (standard deviation, SD = 10) in the U S general population. We classified both low physical and mental functioning as the lowest quartile of the component summary scores at follow-up, separately for women and men (PCS 41.9 for women and 46.0 for men, MCS 48.0 for women and 48.6 for men). The follow-up cut-off point for the lowest quartile of functioning was also used baseline. This helps compare the differences between baseline and follow-up functioning. Sensitivity analyses were conducted with separate cut-off points at baseline and follow-up, and the results were similar.

Baseline covariates

Covariates measured at baseline included age, gender, baseline physical or mental functioning, smoking, alcohol use, marital status, socioeconomic position, and physical and mental strenuousness of work. Employment status was measured at follow-up, with about 70% employed both at the baseline and follow-up. Age was classified into five groups 40, 45, 50, 55 and 60 years at baseline. Smoking was divided into current smokers and non-smokers. Alcohol use was measured by binge drinking, which implied drinking more than six doses on a single occasion once a month or more [31]. Marital status was classified into partnership or no partnership. Socioeconomic position was divided into four occupational social classes: manual workers, routine non-manual employees, semi-professionals and managers, and professionals. Occupational social class was derived from the employer’s personnel register for those who had given informed consent to such linkage (78%), and completed from the questionnaire data. Physical and mental strenuousness of work was classified into very or fairly light, and fairly or very heavy. The covariates are described in more detail elsewhere [26, 31].

Statistical methods

We analysed the joint association of body weight and physical activity by dividing the participants into six groups: (1) high activity (MET >30 h/week) normal-weight (BMI ≤25 kg/m2), (2) moderate activity (MET 7–30 h/week) normal-weight, (3) inactive (MET ≤ 7 h/week) normal-weight, (4) high activity overweight (BMI >25 kg/m2), (5) moderate activity overweight and (6) inactive overweight. High activity normal-weight participants were used as a reference group in all the analyses. First we examined the joint association of weight and physical activity with physical and mental functioning, both at baseline and follow-up, using cross-tabulation. There were no significant interactions between the genders (P = 0.65 for physical functioning and P = 0.12 for mental functioning), and pooled data were used for the main analyses. We used logistic regression analysis to examine the effects of the covariates on the studied associations. Age and gender were adjusted for in model 1. Model 2 was additionally adjusted for baseline functioning. The effects of the other covariates were first studied one covariate at a time. However, because their contribution to the examined association was mainly small, all covariates were simultaneously adjusted for in model 3. The results are presented as odds ratios (ORs) and 95% confidence intervals (95% CI). We used SPSS version 18.0.

Results

At baseline, 48% of the study population were overweight, 11% were physically inactive, 51% were moderately active and 38% were highly active (Table 1). Men were more often overweight (59%) and highly physically active (43%) than women (45% overweight, 36% highly physically active). Men were also more often binge drinkers (24%) than women (7%). Seventy-five per cent of the study population were working at follow-up, and 22% were smokers at baseline.

Table 1 Baseline participant characteristics
Full size table

Baseline physical inactivity and overweight were associated with poor physical functioning, both at baseline and follow-up (Table 2). At follow-up, after adjustment for age and gender, 17% (95% CI 14.7-18.9) of the highly active normal-weight group had poor physical functioning, whereas 37% (95% CI 33.5-41.3) of the overweight inactive group had poor physical functioning. Of the highly active overweight group, a larger proportion (26%, 95% CI 23.4-28.8) had poor physical functioning at follow-up, than the moderately active normal-weight group (19%, 95% CI 17.3-21.3). Instead poor physical functioning among the highly active overweight group and the inactive normal-weight group was almost equally common. Physical functioning tended to decline more in the inactive and overweight groups. However, differences between the groups remained largely similar during follow-up.

Table 2 Prevalence (%) of poor and mean physical functioning at baseline and follow-up adjusted for age and gender
Full size table

In mental functioning, after adjustment for age and gender, the proportion of those with poor functioning was higher among the inactive groups, both at baseline and follow-up (Table 3). Of the inactive groups, normal-weight 29% (95% CI 24.0-34.3) and overweight 32% (95% CI 27.9-35.9) participants, had poor mental functioning at follow-up, whereas the corresponding figures among the highly active groups were 22% (95% CI 19.7-24.0) and 23% (95% CI 20.5-25.9). The change in mental functioning during follow-up was small in all groups.

Table 3 Prevalence (%) of poor and mean mental functioning at baseline and follow-up adjusted for age and gender
Full size table

In logistic regression analyses, after adjustment for age and gender, being active and overweight was associated with poor physical functioning at follow-up (Table 4, OR 3.05, 95% CI 2.40-3.87). Adjusting for baseline physical functioning attenuated the association (OR 2.11, 95% CI 1.63-2.73). Adjusting simultaneously for all the other covariates (model 3) had only a small impact on the association (OR 2.02, 95% CI 1.56-2.63). After adjustments both being overweight and highly active (Table 4, OR 1.48, 95% CI 1.19-1.84), and being normal-weight and inactive (OR 1.51, 95% CI 1.09-2.10) were equally associated with poor physical functioning.

Table 4 Joint association of baseline physical activity and relative weight with poor physical functioning at follow-up
Full size table

After adjustment for age and gender, physical inactivity was associated with poor mental functioning among the normal-weight (Table 5, OR 1.46, 95% CI 1.10-1.95) and the overweight (OR 1.68, 95% CI 1.33-2.12). Adjustment for baseline mental functioning attenuated the association (OR 1.29, 95% CI 0.95-1.75 for normal-weight and OR 1.46, 95% CI 1.13-1.88 for overweight participants). After full adjustments the association disappeared among the normal-weight (OR 1.25, 95% CI 0.92-1.70), but remained among the overweight (OR 1.39, 95% CI 1.08-1.80). The mental functioning was poorer among the overweight inactive participants, while the mental functioning among the moderately and highly active overweight participants was approximately the same.

Table 5 Joint association of baseline physical activity and relative weight with poor mental functioning at follow-up
Full size table

Discussion

In this study we examined the joint association of physical activity and relative bodyweight with subsequent physical and mental functioning, among middle-aged employees of the City of Helsinki, over a follow-up of 5–7 years. We found that both overweight and physical inactivity jointly contributed to poor physical functioning, although weight tended to dominate the association somewhat. Thus high physical activity at baseline may lead to better physical functioning at follow-up, both among those of normal weight and the overweight, whereas overweight contributes to poor physical functioning even among those who are highly active. The highly active overweight and the inactive normal-weight, were equally associated with poor physical functioning, with those who where inactive and overweight being associated most strongly with poor physical functioning. In mental functioning, physical inactivity tended to dominate the joint association between physical activity and body weight. Adjusting for baseline physical or mental functioning attenuated the association between weight and physical activity with functioning at follow-up, but the associations remained in the overweight inactive group.

There is previous evidence that physical activity and weight maintenance both contribute to better physical functioning [17–24]. This is in accordance with our study, although we found that weight somewhat dominates the joint association with physical functioning. Most studies [17–21, 24] show that physical activity is more important than weight maintenance for maintaining good physical functioning. Only two previous studies [22, 23] suggest that the effect size of weight is of a similar magnitude to that of physical activity. Most of these studies [17–21] were cross-sectional and as such unable to show the direction of the association. Physical activity may relate to better physical functioning owing to its muscle-strengthening effects [32] and improvement of balance control [33]. Additionally it may prevent various chronic diseases [1], which undermine physical functioning. Maintaining normal weight may also prevent several diseases [4] and mobility disabilities [34] owed to overweight.

The available evidence suggests [23, 24] that the physically active overweight have better physical functioning than their normal-weight counterparts, but in our study the physical functioning of highly active overweight and inactive normal-weight participants was similar. This could result from the use of distinct measures of physical functioning or different cut-off points between weight and activity groups. To further analyse any potential factors we performed several sensitivity analyses. We applied different cut-off points and classifications, but the results remained similar. A potential bias relates to muscular men, who may be classified as overweight according to their BMI. However, this is less of a problem among men in late middle age.

The association of physical activity and weight with mental functioning is more equivocal. A previous study on the present data [7] found that overweight was not associated with mental functioning. Some previous studies [9, 35] have not considered weight, but they have shown that physical activity can be beneficial for mental functioning. A cross-sectional controlled trial [18] found that physical activity was associated with better mood and functioning. Another cross-sectional study [20] examining the joint association of physical activity and weight with mental functioning, found that physical activity is more important than weight for mental functioning. It also found that overweight inactive people are at greatest risk of poor mental functioning. This is in accordance with our study, which showed only minor differences in mental functioning between the highly active and the moderately active participants, with the overweight inactive participants being most likely to show poor mental functioning. Another previous study [18] suggested that even small amounts of physical activity can improve mental functioning. The study [18] also showed that normal weight is associated with better mood and functioning. We also found adverse effects of overweight on mental functioning among the inactive.

Except for baseline functioning, none of our covariates had a substantial effect on the associations between weight, physical activity and subsequent functioning. In addition to health behaviours and socio-demographics, we controlled for limiting longstanding illnesses and common mental disorders. We also conducted sensitivity analyses adjusting for the overall quantity of alcohol used. These covariates had negligible effects on the results (data not shown).

Several further sensitivity analyses were conducted. We used different cut-off points for the physical activity and weight groups. For BMI, 27 kg/m2 and 30 kg/m2 were used as cut-off points. For physical activity, 4 and 14 MET-hours per week were used. We also used different measures for physical functioning, such as the physical functioning (PF) subscale of SF-36, mean values for physical and mental functioning component summaries, and both the lowest quintile and highest quartile of functioning. These analyses did not substantially affect the results reported. Gender stratified analyses were also conducted. However, pooled data were used for the main analyses. Additionally we analysed the effects of vigorous exercise on functioning, as suggested by previous research [13, 36]. This was done by analysing both the effects of the amount of physical activity and the intensity of the activity, assessed by practising vigorous physical activity or not. There were practically no differences in the effects of a large amount of physical activity compared with practising vigorous activity or not.

The strengths of this study include the prospective design, the large sample of middle-aged women and men originally employed, and the high participation rate at follow-up. Other strengths are the joint assessment of leisure-time physical activity and weight with functioning, the consideration of several covariates and the several sensitivity analyses. Additionally, identical measures for physical and mental functioning, both at baseline and follow-up, were available. The limitations include self-reported measures. These might cause overestimation of physical activity, overestimation of height, and underestimation of weight [37]. However, it has been shown [24] that self-reported and measured weight and height predict health outcomes broadly in a similar way. BMI is not fully accurate as a measure of overweight, because it cannot distinguish between fat and lean mass. However, the accuracy of BMI has been found sufficient for epidemiological studies [38]. SF-36 is established as a reliable measure of physical and mental functioning [39].

Conclusions

Physical activity is likely to be beneficial for physical and mental functioning both among those overweight and normal weight. However, maintaining normal weight is also important for maintaining good physical functioning. Within the ageing population, maintaining good physical and mental functioning is one way of preventing disability and subsequent sickness absence [40], as well as disability retirement [41], and thereby helps lengthening work careers. Health and welfare policies should aim at preventing inactivity and overweight, as they have adverse effects on functioning. Efforts should be made to recommend people to engage in physical activity regardless of their body weight.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

Kcal:

Kilocalories

MCS:

Mental component summary

MET:

Metabolic equivalent task

OR:

Odds ratio

PCS:

Physical component summary

PF:

Physical functioning

SD:

Standard deviation

SF-36:

Short form 36 health survey

SPSS:

Statistical package for the social sciences.

References

  1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, Lancet Physical Activity Series Working Group: Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012, 380 (9838): 219-229. 10.1016/S0140-6736(12)61031-9.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Hu G, Tuomilehto J, Silventoinen K, Barengo NC, Peltonen M, Jousilahti P: The effects of physical activity and body mass index on cardiovascular, cancer and all-cause mortality among 47 212 middle-aged Finnish men and women. Int J Obes (Lond). 2005, 29 (8): 894-902. 10.1038/sj.ijo.0802870.

    Article  CAS  Google Scholar 

  3. Haapanen-Niemi N, Miilunpalo S, Pasanen M, Vuori I, Oja P, Malmberg J: Body mass index, physical inactivity and low level of physical fitness as determinants of all-cause and cardiovascular disease mortality–16 y follow-up of middle-aged and elderly men and women. Int J Obes Relat Metab Disord. 2000, 24 (11): 1465-1474. 10.1038/sj.ijo.0801426.

    Article  CAS  PubMed  Google Scholar 

  4. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH: The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009, 9: 88-10.1186/1471-2458-9-88.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Heesch KC, van Uffelen JG, van Gellecum YR, Brown WJ: Dose–response relationships between physical activity, walking and health-related quality of life in mid-age and older women. J Epidemiol Community Health. 2012, 66 (8): 670-677. 10.1136/jech-2011-200850.

    Article  PubMed  Google Scholar 

  6. Hillsdon MM, Brunner EJ, Guralnik JM, Marmot MG: Prospective study of physical activity and physical function in early old age. Am J Prev Med. 2005, 28 (3): 245-250. 10.1016/j.amepre.2004.12.008.

    Article  PubMed  Google Scholar 

  7. Svärd A, Lyytikäinen P, Roos E, Lallukka T, Rahkonen O, Lahelma E: Obesity is associated with declining physical but not mental functioning. Suom Laakaril. 2011, 46: 3487-3492.

    Google Scholar 

  8. Hergenroeder AL, Brach JS, Otto AD, Sparto PJ, Jakicic JM: The influence of body mass index on self-report and performance-based measures of physical function in adult women. Cardiopulm Phys Ther J. 2011, 22 (3): 11-20.

    PubMed  PubMed Central  Google Scholar 

  9. Atlantis E, Chow CM, Kirby A, Singh MF: An effective exercise-based intervention for improving mental health and quality of life measures: a randomized controlled trial. Prev Med. 2004, 39 (2): 424-434. 10.1016/j.ypmed.2004.02.007.

    Article  PubMed  Google Scholar 

  10. Dunn AL, Trivedi MH, O’Neal HA: Physical activity dose–response effects on outcomes of depression and anxiety. Med Sci Sports Exerc. 2001, 33 (6 Suppl): S587-S597. discussion 609–10

    Article  CAS  PubMed  Google Scholar 

  11. Galper DI, Trivedi MH, Barlow CE, Dunn AL, Kampert JB: Inverse association between physical inactivity and mental health in men and women. Med Sci Sports Exerc. 2006, 38 (1): 173-178. 10.1249/01.mss.0000180883.32116.28.

    Article  PubMed  Google Scholar 

  12. McLaren L, Beck CA, Patten SB, Fick GH, Adair CE: The relationship between body mass index and mental health. A population-based study of the effects of the definition of mental health. Soc Psychiatry Psychiatr Epidemiol. 2008, 43 (1): 63-71. 10.1007/s00127-007-0269-x.

    Article  PubMed  Google Scholar 

  13. He XZ, Baker DW: Body mass index, physical activity, and the risk of decline in overall health and physical functioning in late middle age. Am J Public Health. 2004, 94 (9): 1567-1573. 10.2105/AJPH.94.9.1567.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Mork PJ, Holtermann A, Nilsen TI: Effect of body mass index and physical exercise on risk of knee and hip osteoarthritis: longitudinal data from the Norwegian HUNT Study. J Epidemiol Community Health. 2012, 66 (8): 678-683. 10.1136/jech-2011-200834.

    Article  PubMed  Google Scholar 

  15. Simoes EJ, Kobau R, Kapp J, Waterman B, Mokdad A, Anderson L: Associations of physical activity and body mass index with activities of daily living in older adults. J Community Health. 2006, 31 (6): 453-467. 10.1007/s10900-006-9024-6.

    Article  PubMed  Google Scholar 

  16. Fogelholm M: Physical activity, fitness and fatness: relations to mortality, morbidity and disease risk factors. A systematic review. Obes Rev. 2010, 11 (3): 202-221. 10.1111/j.1467-789X.2009.00653.x.

    Article  CAS  PubMed  Google Scholar 

  17. Hulens M, Vansant G, Claessens AL, Lysens R, Muls E, Rzewnicki R: Health-related quality of life in physically active and sedentary obese women. Am J Hum Biol. 2002, 14 (6): 777-785. 10.1002/ajhb.10095.

    Article  CAS  PubMed  Google Scholar 

  18. Stewart KJ, Turner KL, Bacher AC, DeRegis JR, Sung J, Tayback M, Ouyang P: Are fitness, activity, and fatness associated with health-related quality of life and mood in older persons?. J Cardiopulm Rehabil. 2003, 23 (2): 115-121. 10.1097/00008483-200303000-00009.

    Article  PubMed  Google Scholar 

  19. Riebe D, Blissmer BJ, Greaney ML, Garber CE, Lees FD, Clark PG: The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009, 21 (8): 1159-1178. 10.1177/0898264309350076.

    Article  PubMed  Google Scholar 

  20. Heath GW, Brown DW: Recommended levels of physical activity and health-related quality of life among overweight and obese adults in the United States, 2005. J Phys Act Health. 2009, 6 (4): 403-411.

    PubMed  Google Scholar 

  21. Kruger J, Bowles HR, Jones DA, Ainsworth BE, Kohl HW: Health-related quality of life, BMI and physical activity among US adults (>/=18 years): National Physical Activity and Weight Loss Survey, 2002. Int J Obes (Lond). 2007, 31 (2): 321-327. 10.1038/sj.ijo.0803386.

    Article  CAS  Google Scholar 

  22. Villareal DT, Chode S, Parimi N, Sinacore DR, Hilton T, Armamento-Villareal R, Napoli N, Qualls C, Shah K: Weight loss, exercise, or both and physical function in obese older adults. N Engl J Med. 2011, 364 (13): 1218-1229. 10.1056/NEJMoa1008234.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bruce B, Fries JF, Hubert H: Regular vigorous physical activity and disability development in healthy overweight and normal-weight seniors: a 13-year study. Am J Public Health. 2008, 98 (7): 1294-1299. 10.2105/AJPH.2007.119909.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lang IA, Guralnik JM, Melzer D: Physical activity in middle-aged adults reduces risks of functional impairment independent of its effect on weight. J Am Geriatr Soc. 2007, 55 (11): 1836-1841. 10.1111/j.1532-5415.2007.01426.x.

    Article  PubMed  Google Scholar 

  25. Lahelma E, Aittomaki A, Laaksonen M, Lallukka T, Martikainen P, Piha K, Rahkonen O, Saastamoinen P: Cohort profile: the Helsinki health study. Int J Epidemiol. 2012, 10.1093/ije/dys039. [Epub ahead of print], 1-9

    Google Scholar 

  26. Lahelma E, Martikainen P, Rahkonen O, Roos E, Saastamoinen P: Occupational class inequalities across key domains of health: results from the Helsinki Health Study. Eur J Public Health. 2005, 15 (5): 504-510. 10.1093/eurpub/cki022.

    Article  PubMed  Google Scholar 

  27. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, Jacobs DR, Leon AS: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000, 32 (9 Suppl): S498-504.

    Article  CAS  PubMed  Google Scholar 

  28. Fogelholm M, Suni J, Rinne M, Oja P, Vuori I: Physical activity pie; a graphical presentation integrating recommendations for fitness and health. JPAH. 2005, 2: 391-396.

    Google Scholar 

  29. Wen CP, Wai JP, Tsai MK, Yang YC, Cheng TY, Lee MC, Chan HT, Tsao CK, Tsai SP, Wu X: Minimum amount of physical activity for reduced mortality and extended life expectancy: a prospective cohort study. Lancet. 2011, 378 (9798): 1244-1253. 10.1016/S0140-6736(11)60749-6.

    Article  PubMed  Google Scholar 

  30. Ware JE, Gandek B: Overview of the SF-36 health survey and the international quality of life assessment (IQOLA) project. J Clin Epidemiol. 1998, 51 (11): 903-912. 10.1016/S0895-4356(98)00081-X.

    Article  PubMed  Google Scholar 

  31. Salonsalmi A, Laaksonen M, Lahelma E, Rahkonen O: Drinking habits and disability retirement. Addiction. 2012, 107 (12): 2128-36. 10.1111/j.1360-0443.2012.03976.x.

    Article  PubMed  Google Scholar 

  32. Gauchard GC, Tessier A, Jeandel C, Perrin PP: Improved muscle strength and power in elderly exercising regularly. Int J Sports Med. 2003, 24 (1): 71-74. 10.1055/s-2003-37203.

    Article  CAS  PubMed  Google Scholar 

  33. Gauchard GC, Gangloff P, Jeandel C, Perrin PP: Physical activity improves gaze and posture control in the elderly. Neurosci Res. 2003, 45 (4): 409-417. 10.1016/S0168-0102(03)00008-7.

    Article  PubMed  Google Scholar 

  34. Vincent HK, Vincent KR, Lamb KM: Obesity and mobility disability in the older adult. Obes Rev. 2010, 11 (8): 568-579. 10.1111/j.1467-789X.2009.00703.x.

    Article  CAS  PubMed  Google Scholar 

  35. Hawker CL: Physical activity and mental well-being in student nurses. Nurse Educ Today. 2012, 32 (3): 325-331. 10.1016/j.nedt.2011.07.013.

    Article  PubMed  Google Scholar 

  36. Lahti J, Laaksonen M, Lahelma E, Rahkonen O: The impact of physical activity on physical health functioning–a prospective study among middle-aged employees. Prev Med. 2010, 50 (5–6): 246-250.

    Article  PubMed  Google Scholar 

  37. Fonseca Mde J, Faerstein E, Chor D, Lopes CS: Validity of self-reported weight and height and the body mass index within the “Pro-saude” study. Rev Saude Publica. 2004, 38 (3): 392-398. 10.1590/S0034-89102004000300009.

    Article  PubMed  Google Scholar 

  38. McAdams MA, Van Dam RM, Hu FB: Comparison of self-reported and measured BMI as correlates of disease markers in US adults. Obesity (Silver Spring). 2007, 15 (1): 188-196. 10.1038/oby.2007.504.

    Article  Google Scholar 

  39. Ware JE, Kosinski M, Keller SD: SF-36 physical and mental component summary measures: a User’s manual. 1994, Boston, MA: The Health Institute, New England Medical Center

    Google Scholar 

  40. Laaksonen M, Kaaria SM, Leino-Arjas P, Lahelma E: Different domains of health functioning as predictors of sickness absence–a prospective cohort study. Scand J Work Environ Health. 2011, 37 (3): 213-218. 10.5271/sjweh.3131.

    Article  PubMed  Google Scholar 

  41. Roos E, Laaksonen M, Rahkonen O, Lahelma E, Lallukka T: Relative weight and disability retirement: a prospective cohort study. Scand J Work Environ Health. 2012, 10.5271/sjweh.3328. [Epub ahead of print], 1-9

    Google Scholar 

Pre-publication history

Download references

Acknowledgements

We thank the City of Helsinki and all the members of Helsinki Health Study group for their contribution. The study was supported by the Ministry of Education and Culture, the Academy of Finland (#1129225, #1257362) and the Juho Vainio Foundation. TL is supported by the Academy of Finland (#133434).

Author information

Authors and Affiliations

  1. Hjelt Institute, Department of Public Health, University of Helsinki, P.O.B. 41, 00014, Helsinki, Finland

    Vivian Lindholm, Jouni Lahti, Ossi Rahkonen, Eero Lahelma & Tea Lallukka

Authors
  1. Vivian Lindholm
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jouni Lahti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ossi Rahkonen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Eero Lahelma
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tea Lallukka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vivian Lindholm.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

VL performed the statistical analyses, interpreted the results and drafted the manuscript. JL, OR, EL and TL contributed to designing the study, interpreting results and drafting the manuscript. All authors critically reviewed the manuscript and approved the final version.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Lindholm, V., Lahti, J., Rahkonen, O. et al. Joint association of physical activity and body weight with subsequent physical and mental functioning: a follow-up study. BMC Public Health 13, 197 (2013). https://doi.org/10.1186/1471-2458-13-197

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2458-13-197

Keywords

  • Physical activity
  • Body mass index
  • Overweight
  • Health functioning
  • Follow-up

BMC Public Health

ISSN: 1471-2458

Contact us